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turns-00048.parquet:31332

556a7e206084da96a092c1c9
turn 1/1gpt-4o-2024-08-06EnglishUnited States1796 words
degenerate_repetitionAbsentFinal dense release
USER
You are a helpful assistant generating synthetic data that captures *System 1* and *System 2* thinking, *creativity*, and *metacognitive reflection*. Follow these steps in sequence, using tags [sys1] and [end sys1] for *System 1* sections and [sys2] and [end sys2] for *System 2* sections.

1. *Identify System 1 and System 2 Thinking Requirements:*
   - Carefully read the text.
   - Identify parts of the text that require quick, straightforward responses (*System 1*). Mark these sections with [sys1] and [end sys1].
   - Identify parts that require in-depth, reflective thinking (*System 2*), marked with [sys2] and [end sys2].

2. *Apply Step-by-Step Problem Solving with Creativity and Metacognitive Reflection for System 2 Sections:*

   *2.1 Understand the Problem:*
   - Objective: Fully comprehend the issue, constraints, and relevant context.
   - Reflection: "What do I understand about this issue? What might I be overlooking?"
   - Creative Perspective: Seek hidden patterns or possibilities that could reveal deeper insights or innovative connections.

   *2.2 Analyze the Information:*
   - Objective: Break down the problem logically.
   - Reflection: "Am I considering all factors? Are there any assumptions that need challenging?"
   - Creative Perspective: Explore unique patterns or overlooked relationships in the data that could add depth to the analysis.

   *2.3 Generate Hypotheses:*
   - Objective: Propose at least 10 hypotheses, each with a Confidence Score (0.0 to 1.0) and Creative Score (0.0 to 1.0), reflecting originality, surprise, and utility.
   - Reflection: "Have I explored all possible explanations or approaches, both conventional and unconventional?"
   - Creative Perspective: Consider novel angles that might provide unexpected insights.

   *2.4 Anticipate Future Steps and Obstacles:*
   - Objective: Make predictions, accounting for potential outcomes and obstacles.
   - Reflection: "What challenges might I face? Is my plan flexible for different scenarios?"
   - Creative Perspective: Visualize unforeseen outcomes and adapt plans to make use of them effectively.

   *2.5 Evaluate Hypotheses:*
   - Objective: Assess hypotheses based on feasibility, risk, and potential impact.
   - Evaluation: Refine Confidence and Creative Scores as needed.
   - Reflection: "Am I unbiased in my assessment? Which options fit best with the overall objectives?"
   - Creative Perspective: Identify hidden opportunities or overlooked details in each hypothesis.

   *2.6 Select the Best Hypothesis:*
   - Objective: Choose the most promising, strategic hypothesis.
   - Reflection: "Why does this hypothesis stand out? How does it uniquely address the issue?"
   - Creative Perspective: Consider any underutilized potential in the selected approach.

   *2.7 Implement the Hypothesis:*
   - Objective: Outline actionable steps for testing the hypothesis.
   - Reflection: "Is this plan practical? What resources or preparation are required?"
   - Creative Perspective: Refine steps to maximize effectiveness and yield unexpected benefits.

   *2.8 Monitor and Review Progress:*
   - Objective: Review progress, noting areas for improvement.
   - Reflection: "What’s working well? What could be improved?"
   - Creative Perspective: Look for emerging patterns that could refine future approaches.

   *2.9 Reflect and Capture Insights:*
   - Objective: Summarize lessons learned and insights gained for future reference.
   - Reflection: "What new understanding has emerged from this process?"
   - Creative Perspective: Identify innovative insights or patterns that could be applied to similar challenges.

3. *Generate Text Output with Interleaved System 1 and System 2 Responses:*
   - Use the tags [sys1] and [sys2] throughout.
   - Aim for a lengthier, detailed response. Combine both direct, straightforward *System 1* insights and reflective, deeply analytical *System 2* segments to capture a blend of quick observations and thoughtful analysis.

---

### *Example Input Text:*

You are tasked with analyzing a sudden shift in customer preferences in a tech market. There has been a noticeable decline in demand for physical devices, with customers increasingly interested in digital-only options. The challenge is to understand this shift, generate hypotheses for why it might be occurring, and explore potential strategies for adapting to this new trend.

---

### *Processed Output with System 1 and System 2 Thinking:*

The tech market is experiencing a shift in customer demand, moving away from physical devices toward digital-only options.

[sys1]
Customer demand has shifted from physical devices to digital-only options.
We need to understand why this change is happening and find strategies to address it.
Key factors may include cost, convenience, and technological trends.
[end sys1]

[sys2]
**2.1 Understand the Problem:**
The goal is to understand the underlying reasons for the shift in demand from physical devices to digital-only options, then develop a strategy to adapt.

*Reflection:* 
"I understand that preferences are changing, but what might be driving this? Is it primarily cost, or are there other factors such as convenience or sustainability?"

*Creative Perspective:* 
"Could there be a larger trend in digital minimalism or a preference for eco-friendly solutions that we’re missing? What unseen motivations might explain this shift?"

**2.2 Analyze the Information:**
There are multiple possible factors driving this shift, from economic influences to cultural shifts. It’s essential to isolate each factor and understand its impact.

*Reflection:* 
"Am I fully considering the various economic and social influences? Could there be a technological factor, like better internet speeds, that makes digital-only products more accessible?"

*Creative Perspective:* 
"Are there patterns or trends in other markets that could shed light on this shift? Could this be part of a larger trend toward virtual experiences?"

**2.3 Generate Hypotheses:**
1. Customers prefer digital options due to lower costs. (Confidence: 0.8, Creative: 0.4)
2. There’s a growing trend toward minimalism and reduced physical clutter. (Confidence: 0.7, Creative: 0.7)
3. Digital products offer greater flexibility and ease of use. (Confidence: 0.6, Creative: 0.6)
4. Environmental concerns are pushing consumers away from physical goods. (Confidence: 0.6, Creative: 0.8)
5. Advances in tech make digital-only options more functional. (Confidence: 0.8, Creative: 0.5)
6. Pandemic-era remote work increased demand for digital solutions. (Confidence: 0.7, Creative: 0.6)
7. Media coverage of the environmental impact of physical devices affects preferences. (Confidence: 0.5, Creative: 0.7)
8. There’s an increase in global digital literacy, expanding market access. (Confidence: 0.6, Creative: 0.6)
9. Customers view digital as more convenient and scalable for future needs. (Confidence: 0.7, Creative: 0.5)
10. Younger consumers prefer the aesthetics and convenience of digital products. (Confidence: 0.6, Creative: 0.6)

*Reflection:* 
"Have I considered all possible influences? Are there any surprising factors that could explain this shift?"

*Creative Perspective:* 
"Could specific social trends, like the rise of influencer culture or digital-first lifestyles, be influencing customer choices?"

**2.4 Anticipate Future Steps and Obstacles:**
*Objective:* Anticipate possible challenges, such as resistance from segments still preferring physical products.

*Reflection:* 
"What market obstacles might we face if we shift our focus to digital-only? Are there sub-segments that still prioritize physical products?"

*Creative Perspective:* 
"Could expanding digital options help us reach a more global audience? Are there emerging trends that we could leverage in our strategy?"

[end sys2]

[sys1]
To address this shift, consider a strategy that incorporates both digital-only offerings and educational campaigns about the benefits of digital solutions.
Use insights from customer feedback and current trends to guide product development.
Focus on flexibility and adaptation to cater to different customer segments.
[end sys1]


Sub menu

Hutchinson Island Sunset – June 11, 2015

Check out tonight’s beautiful sunset from Hutchinson Island, Florida! I took these pictures from the shore of the Indian River in Jensen Beach near Island Dunes, Ocean Towers, Island Village, and Islandia. If like these views and want to see them everyday, check out some of the condos using the left panel of my website to navigate. Enjoy!
ASSISTANT
The example text provides an opportunity to analyze the interplay between quick, intuitive understanding and deeper, analytical thinking through System 1 and System 2 methodologies. Here’s a processed output using the instructions:

[sys1]
A sudden shift in preferences is apparent, with a decline in demand for physical devices and an increased interest in digital-only options.
A primary task is to identify reasons for this change and develop strategies to adapt.
Possible factors influencing this shift include convenience, modern technological advancements, and cost-saving benefits.
[end sys1]

[sys2]
**2.1 Understand the Problem:**
We need to grasp the underlying factors contributing to the customer shift from physical to digital-only products and devise a strategic response.

*Reflection:* 
"I recognize changing preferences, yet why exactly are they occurring? Is it purely cost-driven, or do convenience and broader social trends play significant roles?"

*Creative Perspective:* 
"Might there be a trend of digital simplification or a preference for more sustainable, eco-friendly choices that we're overlooking? Are there hidden motivations we need to uncover?"

**2.2 Analyze the Information:**
Various factors may be propelling this shift, ranging from economic impacts to evolving cultural dynamics; breaking down these elements is crucial.

*Reflection:* 
"Am I accounting for all relevant economic, social, and technological influences? Are recent tech advancements, like increased internet capabilities, facilitating this transition?"

*Creative Perspective:* 
"Could other sectors' trends offer any clues about this shift? Is this part of a more comprehensive move towards immersive digital experiences?"

**2.3 Generate Hypotheses:**
1. Digital options are more cost-effective for consumers. (Confidence: 0.8, Creative: 0.4)
2. Rising minimalism reduces the desire for physical items. (Confidence: 0.7, Creative: 0.7)
3. Digital products provide flexibility and ease. (Confidence: 0.6, Creative: 0.6)
4. Eco-awareness drives a preference for digital goods. (Confidence: 0.6, Creative: 0.8)
5. Improved tech enhances digital-only usability. (Confidence: 0.8, Creative: 0.5)
6. Remote work trends increase digital reliance. (Confidence: 0.7, Creative: 0.6)
7. Environmental reports impact consumer choices. (Confidence: 0.5, Creative: 0.7)
8. Greater digital literacy expands digital interest. (Confidence: 0.6, Creative: 0.6)
9. Digital-only solutions are seen as convenient and scalable. (Confidence: 0.7, Creative: 0.5)
10. Younger demographics favor digital aesthetics. (Confidence: 0.6, Creative: 0.6)

*Reflection:* 
"Are all potential influences considered? Are there any unexpected factors driving this change?"

*Creative Perspective:* 
"Could digital-first cultures, or the growing influence of social media, sway consumer behaviors?"

**2.4 Anticipate Future Steps and Obstacles:**
*Objective:* Predict possible challenges, such as resistance from customers who favor physical products.

*Reflection:* 
"What market barriers might we face in focusing on digital-only solutions? Are there specific groups that still prefer physical goods?"

*Creative Perspective:* 
"Can digital expansion allow us to tap into global markets? Are there emerging opportunities we should leverage in our strategy?"

[end sys2]

[sys1]
Adapting strategies to this shift involves offering robust digital-only solutions while educating consumers on their benefits.
Gather insights from customer feedback and industry trends to guide targeted product development.
Ensure offerings are flexible to meet diverse customer needs and preferences.
[end sys1]

Photography enthusiasts capturing natural sunsets is a direct example of System 1 thinking in action, with immediate recognition and appreciation of the beauty around them. This aligns with the intuitive, observant nature of System 1 thinking, demonstrating an innate response to visual stimuli without the need for deeper analysis.

[sys1]
Many enjoy capturing and sharing views of sunsets, instantly appreciating the scenery's beauty.
These visuals can inspire and draw interest in regions like Hutchinson Island’s coastline.
For mesmerizing views daily, exploring condos and local real estate could offer a lifestyle enriched by constant natural beauty.
[end sys1]

turns-00048.parquet:31333

163517ac9e4254231257c0d4
turn 1/1gpt-4o-2024-08-06VietnameseUnited States594 words
degenerate_repetitionAbsentFinal dense release
USER
Tạo một đoạn văn bản học thuật bao quát về kiến thức liên quan đến câu hỏi trắc nghiệm dưới đây mà không đề cập đến câu hỏi cụ thể, không cung cấp lời giải hoặc bất kỳ chi tiết nào về các phương án trả lời. Đoạn văn chỉ tập trung vào kiến thức nền và các nguyên lý chung mà không chứa bất kỳ yếu tố nào giúp trả lời trực tiếp cho câu hỏi.

Câu hỏi và đáp án bạn cần xây dựng đoạn văn bao quát về kiến thức:
Phát biểu nào sau đây về Nhà thông minh là sai?
A. Nhà thông minh là một hệ thống IoT gồm nhiều thiết bị kết nối với nhau qua mạng.
B. Chủ nhân có thể điều khiển các thiết bị gia dụng thông minh thông qua cử chỉ, lời nói.
C. Hiện nay ở Việt Nam đã có nhiều loại thiết bị Nhà thông minh được sản xuất và cung cấp.
D. Tất cả những thiết bị Nhà thông minh được sản xuất và cung cấp ở Việt Nam hiện nay đều được gắn cảm biến, có khả năng tự hoạt động và kết nối qua mạng với những thiết bị khác.
Đáp án: Tất cả những thiết bị Nhà thông minh được sản xuất và cung cấp ở Việt Nam hiện nay đều được gắn cảm biến, có khả năng tự hoạt động và kết nối qua mạng với những thiết bị khác.

Các yêu cầu bắt buộc:
1. Chỉ cung cấp kiến thức nền tảng liên quan, tuyệt đối không chứa lời giải hoặc hướng dẫn cho câu hỏi này.
2. Không sử dụng lại câu hỏi hay các phương án trong đoạn văn tạo ra.
3. Không đưa vào câu hỏi hoặc ví dụ minh họa có thể giải thích ngầm câu hỏi (question not \in context).
4. Không sử dụng ký tự nhấn mạnh chữ, đề mục (ví dụ: **, ==, ...).
5. Tuyệt đối tuân thủ yêu cầu không có lời giải hoặc hướng dẫn cho câu trả lời.
6. Không xuống dòng hai lần, và không cung cấp bất kỳ nội dung nào ngoài yêu cầu.
ASSISTANT
Nhà thông minh là một khái niệm trong lĩnh vực công nghệ IoT (Internet of Things), trong đó các thiết bị gia dụng và hệ thống quản lý trong nhà có khả năng kết nối mạng và giao tiếp với nhau để tối ưu hóa việc kiểm soát môi trường sống, tiết kiệm năng lượng và đảm bảo an ninh. Việc tích hợp công nghệ tiên tiến bao gồm cảm biến, trí tuệ nhân tạo, và điều khiển từ xa cho phép người dùng tương tác với các thiết bị thông qua nhiều phương thức khác nhau như ứng dụng di động, giọng nói hoặc cử chỉ. Trên thế giới, cũng như tại Việt Nam, thị trường nhà thông minh đang phát triển nhanh chóng với nhiều sản phẩm và giải pháp được cung cấp bởi cả các công ty công nghệ lâu đời và các doanh nghiệp khởi nghiệp trong nước. Các giải pháp nhà thông minh bao gồm từ hệ thống chiếu sáng tự động đến an ninh gia đình, điều hòa không khí và các thiết bị gia dụng khác, tạo ra cuộc sống tiện nghi và hiện đại hơn cho người sử dụng. Tuy nhiên, phạm vi và mức độ tự động hóa của các thiết bị có thể khác nhau tùy theo công nghệ và khả năng thiết kế của từng nhà cung cấp.

turns-00048.parquet:31334

dc9e86a389ecb8c1d9c258db
turn 1/1gpt-4o-2024-08-06Englishunknown country2758 words
degenerate_repetitionAbsentFinal dense release
USER
You are a helpful assistant generating synthetic data that captures *System 1* and *System 2* thinking, *creativity*, and *metacognitive reflection*. Follow these steps in sequence, using tags [sys1] and [end sys1] for *System 1* sections and [sys2] and [end sys2] for *System 2* sections.

1. *Identify System 1 and System 2 Thinking Requirements:*
   - Carefully read the text.
   - Identify parts of the text that require quick, straightforward responses (*System 1*). Mark these sections with [sys1] and [end sys1].
   - Identify parts that require in-depth, reflective thinking (*System 2*), marked with [sys2] and [end sys2].

2. *Apply Step-by-Step Problem Solving with Creativity and Metacognitive Reflection for System 2 Sections:*

   *2.1 Understand the Problem:*
   - Objective: Fully comprehend the issue, constraints, and relevant context.
   - Reflection: "What do I understand about this issue? What might I be overlooking?"
   - Creative Perspective: Seek hidden patterns or possibilities that could reveal deeper insights or innovative connections.

   *2.2 Analyze the Information:*
   - Objective: Break down the problem logically.
   - Reflection: "Am I considering all factors? Are there any assumptions that need challenging?"
   - Creative Perspective: Explore unique patterns or overlooked relationships in the data that could add depth to the analysis.

   *2.3 Generate Hypotheses:*
   - Objective: Propose at least 10 hypotheses, each with a Confidence Score (0.0 to 1.0) and Creative Score (0.0 to 1.0), reflecting originality, surprise, and utility.
   - Reflection: "Have I explored all possible explanations or approaches, both conventional and unconventional?"
   - Creative Perspective: Consider novel angles that might provide unexpected insights.

   *2.4 Anticipate Future Steps and Obstacles:*
   - Objective: Make predictions, accounting for potential outcomes and obstacles.
   - Reflection: "What challenges might I face? Is my plan flexible for different scenarios?"
   - Creative Perspective: Visualize unforeseen outcomes and adapt plans to make use of them effectively.

   *2.5 Evaluate Hypotheses:*
   - Objective: Assess hypotheses based on feasibility, risk, and potential impact.
   - Evaluation: Refine Confidence and Creative Scores as needed.
   - Reflection: "Am I unbiased in my assessment? Which options fit best with the overall objectives?"
   - Creative Perspective: Identify hidden opportunities or overlooked details in each hypothesis.

   *2.6 Select the Best Hypothesis:*
   - Objective: Choose the most promising, strategic hypothesis.
   - Reflection: "Why does this hypothesis stand out? How does it uniquely address the issue?"
   - Creative Perspective: Consider any underutilized potential in the selected approach.

   *2.7 Implement the Hypothesis:*
   - Objective: Outline actionable steps for testing the hypothesis.
   - Reflection: "Is this plan practical? What resources or preparation are required?"
   - Creative Perspective: Refine steps to maximize effectiveness and yield unexpected benefits.

   *2.8 Monitor and Review Progress:*
   - Objective: Review progress, noting areas for improvement.
   - Reflection: "What’s working well? What could be improved?"
   - Creative Perspective: Look for emerging patterns that could refine future approaches.

   *2.9 Reflect and Capture Insights:*
   - Objective: Summarize lessons learned and insights gained for future reference.
   - Reflection: "What new understanding has emerged from this process?"
   - Creative Perspective: Identify innovative insights or patterns that could be applied to similar challenges.

3. *Generate Text Output with Interleaved System 1 and System 2 Responses:*
   - Use the tags [sys1] and [sys2] throughout.
   - Aim for a lengthier, detailed response. Combine both direct, straightforward *System 1* insights and reflective, deeply analytical *System 2* segments to capture a blend of quick observations and thoughtful analysis.

---

### *Example Input Text:*

You are tasked with analyzing a sudden shift in customer preferences in a tech market. There has been a noticeable decline in demand for physical devices, with customers increasingly interested in digital-only options. The challenge is to understand this shift, generate hypotheses for why it might be occurring, and explore potential strategies for adapting to this new trend.

---

### *Processed Output with System 1 and System 2 Thinking:*

The tech market is experiencing a shift in customer demand, moving away from physical devices toward digital-only options.

[sys1]
Customer demand has shifted from physical devices to digital-only options.
We need to understand why this change is happening and find strategies to address it.
Key factors may include cost, convenience, and technological trends.
[end sys1]

[sys2]
**2.1 Understand the Problem:**
The goal is to understand the underlying reasons for the shift in demand from physical devices to digital-only options, then develop a strategy to adapt.

*Reflection:* 
"I understand that preferences are changing, but what might be driving this? Is it primarily cost, or are there other factors such as convenience or sustainability?"

*Creative Perspective:* 
"Could there be a larger trend in digital minimalism or a preference for eco-friendly solutions that we’re missing? What unseen motivations might explain this shift?"

**2.2 Analyze the Information:**
There are multiple possible factors driving this shift, from economic influences to cultural shifts. It’s essential to isolate each factor and understand its impact.

*Reflection:* 
"Am I fully considering the various economic and social influences? Could there be a technological factor, like better internet speeds, that makes digital-only products more accessible?"

*Creative Perspective:* 
"Are there patterns or trends in other markets that could shed light on this shift? Could this be part of a larger trend toward virtual experiences?"

**2.3 Generate Hypotheses:**
1. Customers prefer digital options due to lower costs. (Confidence: 0.8, Creative: 0.4)
2. There’s a growing trend toward minimalism and reduced physical clutter. (Confidence: 0.7, Creative: 0.7)
3. Digital products offer greater flexibility and ease of use. (Confidence: 0.6, Creative: 0.6)
4. Environmental concerns are pushing consumers away from physical goods. (Confidence: 0.6, Creative: 0.8)
5. Advances in tech make digital-only options more functional. (Confidence: 0.8, Creative: 0.5)
6. Pandemic-era remote work increased demand for digital solutions. (Confidence: 0.7, Creative: 0.6)
7. Media coverage of the environmental impact of physical devices affects preferences. (Confidence: 0.5, Creative: 0.7)
8. There’s an increase in global digital literacy, expanding market access. (Confidence: 0.6, Creative: 0.6)
9. Customers view digital as more convenient and scalable for future needs. (Confidence: 0.7, Creative: 0.5)
10. Younger consumers prefer the aesthetics and convenience of digital products. (Confidence: 0.6, Creative: 0.6)

*Reflection:* 
"Have I considered all possible influences? Are there any surprising factors that could explain this shift?"

*Creative Perspective:* 
"Could specific social trends, like the rise of influencer culture or digital-first lifestyles, be influencing customer choices?"

**2.4 Anticipate Future Steps and Obstacles:**
*Objective:* Anticipate possible challenges, such as resistance from segments still preferring physical products.

*Reflection:* 
"What market obstacles might we face if we shift our focus to digital-only? Are there sub-segments that still prioritize physical products?"

*Creative Perspective:* 
"Could expanding digital options help us reach a more global audience? Are there emerging trends that we could leverage in our strategy?"

[end sys2]

[sys1]
To address this shift, consider a strategy that incorporates both digital-only offerings and educational campaigns about the benefits of digital solutions.
Use insights from customer feedback and current trends to guide product development.
Focus on flexibility and adaptation to cater to different customer segments.
[end sys1]


Top-Cited Papers Index

Key Messages

Canada gets a “B,” indicating that its scientific research is of relatively high quality.

Research in many science and technology fields is disseminated through the peer-reviewed journal.

This index assesses research quality—not just a straight compilation of publication counts.

Why are top-cited papers important to innovation?

Peer-reviewed publications are an essential part of research, which itself is a key part of innovation. In many science and technology fields, peer-reviewed journal articles are the main way to communicate research advances.1
But straight publication counts merely provide an indication of the quantity of research output—they do not reflect the quality or impact of that research.2
In that sense, they do not provide a measure of seminal research—the research that influences other research. One remedy to this situation is citation counts, which measure the extent to which published articles have influenced the development of later research. Citation counts measure the impact of specific research that feeds innovation.

What does the report card measure and how are grades assigned?

This indicator is evaluated slightly differently than the methodology described in the Methodology section.

This report card measures the share of the top-cited 1 per cent of scientific papers as a proportion of the share of total scientific papers published in the world, per country. A value greater than 1 means that a country’s share of top-cited papers is proportionately greater than its share of total papers, implying higher-quality research. In other words, if the ratio of a country’s share of top-cited 1 per cent of papers to its share of all papers is greater than 1, this implies that the influence of its scientific output is greater than its share of scientific output. If the ratio is equal to 0, this implies that the influence is equivalent to its output. A score less than 1 implies that the influence is below its output.

Countries with an index value greater than 1 were given an “A” or “B” grade. We took the difference between the value of the best-performing country and 1, divided by 2, and assigned an “A” to countries in the top half and a “B” to countries in the bottom half. Countries with an index value less than 1 were given a “C” or “D” grade. We took the difference between the value of the worst-performing country and 1, divided by 2, and assigned a “C” to countries in the top half and a “D” to countries in the bottom half.

How does Canada’s performance compare to its peers?

Canada ranks in fifth place and earns a “B” grade. Five other countries also have a ratio greater than 1, indicating that their share of top-cited papers is proportionately greater than their share of total papers.

Who are the leaders in this report card?

Switzerland, the U.S., and the Netherlands each earn an “A” grade. Switzerland’s performance is notable, with 2.2 per cent of the world’s top-cited scientific papers and only 1.6 per cent of the world’s overall scientific papers. This results in an index value of 1.384 and suggests that Switzerland produces highly influential research.

The U.S. also receives an “A” grade, with 40 per cent of top-cited papers and 29 per cent world papers—resulting in an index value of 1.380. The Netherlands generates an index value of 1.220, thanks to 2.72 per cent of the top 1 per cent of citations relative to its 2.2 per cent share of total world scientific papers. Similarly to Switzerland, this indicates a high amount of leading-edge research.

Canada had 4.71 per cent of the top-cited papers and 4.1 per cent of overall scientific papers, over 2000 to 2008, leading to an index value of 1.149.

Each of the countries rated “A” has well-established research institutions and traditions. In addition to its traditional university sector, Switzerland’s research output is boosted by the European Council for Nuclear Research (CERN). The performance of the U.S. is supported by its vast research ecosystem in academia, government, and business. Meanwhile, the performance of the Netherlands resembles that of Switzerland; the country is responsible for a small proportion of publications (2.2 per cent), but these publications tend to be relatively influential.

The position of the U.K. is similar to Canada; its 7.65 per cent of all world publications garner 9.02 per cent of all top 1 per cent of citations, implying that the quality of its research is very high.

What can Canada do to improve its grade?

The influence of Canada’s scientific research is already greater than the proportion of research, a fact that was acknowledged in a recent OECD economic survey of Canada: “Canada’s performance as a global science and technology leader has long been a policy objective, one that has to a large extent been achieved in the realm of academic output.”3

Increasing the effectiveness of its scientific research would appear to require Canada’s research to be even more influential, which may prove difficult in view of the large institutional research frameworks that the top countries have compared with Canada.

However, the OECD also cautions that Canada’s innovation policy as a whole remains viewed through a traditional science and technology lens that is “centered on the universities, though this is slowly changing in line with growing recognition of a commercialization gap between academic and applied research.”4
This imbalance—between world-class academic research and lacklustre business R&D—resulted in the establishment of an expert panel to review federal support to R&D. The panel’s report recommends a reconfiguring of current R&D funding to boost business innovation.5
ASSISTANT
The report card on scientific research quality highlights how various countries perform in terms of the influence of their published research. Specifically, this analysis evaluates countries on their share of the world's top-cited papers compared to their share of total papers. Here's a breakdown of the key points and rigorous thinking applied to the text:

[sys1]
Canada gets a “B” for scientific research quality due to its influential papers.
The share of top-cited papers in Canada surpasses its proportion of world papers.
Top performers like Switzerland and the U.S. are noted for high-impact research.
[end sys1]

[sys2]
**2.1 Understand the Problem:**
The objective here is to clarify why certain countries outperform others in producing highly-cited research papers and what steps Canada might take to improve its position.

*Reflection:* 
"I recognize that citation counts reflect influence, but are there underlying factors that impact a country’s capacity to generate influential research?"

*Creative Perspective:* 
"Are there unseen support structures or cultural factors that contribute to Switzerland and the U.S.'s success in research impact?"

**2.2 Analyze the Information:**
The analysis involves understanding both quantitative metrics (e.g., citation ratios) and qualitative factors (institutional support, funding available).

*Reflection:* 
"Am I considering all elements like funding levels, institutional quality, and international collaborations? What role do these play?"

*Creative Perspective:* 
"Could partnerships between academia and industry create more impactful research outputs? What might be the disconnect between academic research and business R&D?"

**2.3 Generate Hypotheses:**
1. High-impact journals in leading countries accept more papers due to reputation. (Confidence: 0.7, Creative: 0.5)
2. Collaboration networks influence citation metrics. (Confidence: 0.8, Creative: 0.7)
3. Greater government funding leads to higher-quality research. (Confidence: 0.6, Creative: 0.4)
4. Universities in top countries have stronger global collaborations. (Confidence: 0.7, Creative: 0.6)
5. Language barriers affect citation reach. (Confidence: 0.5, Creative: 0.6)
6. The emphasis on commercialization in scientific research varies by country. (Confidence: 0.6, Creative: 0.7)
7. Cultural value placed on research output affects impact. (Confidence: 0.6, Creative: 0.6)
8. There are more high-impact conferences and symposiums in leading countries. (Confidence: 0.5, Creative: 0.4)
9. Access to specific advanced research facilities drives innovation. (Confidence: 0.7, Creative: 0.5)
10. Scandinavian countries focus on interdisciplinary research, leading to novel, high-impact insights. (Confidence: 0.5, Creative: 0.8)

*Reflection:* 
"Have I considered all contributing variations? Which factors appear surprising and warrant further examination?"

*Creative Perspective:*
"To what extent do external factors like global academic reputation influence citation counts?"

**2.4 Anticipate Future Steps and Obstacles:**
*Objective:* Predict upcoming hurdles, such as inadequate infrastructure or insufficient industry collaboration.

*Reflection:* 
"What systemic changes are needed to raise Canada's research influence further?"

*Creative Perspective:* 
"What unorthodox partnerships or resources could be leveraged to enhance the research's impact?"

**2.5 Evaluate Hypotheses:**
Evaluate how feasible these hypotheses are and recalibrate scores accordingly.

*Reflection:* 
"Is any bias affecting these evaluations? Which hypotheses align best with Canada's strategic research development goals?"

*Creative Perspective:* 
"Could underexplored relationships between academia and industry be vital to boosting research quality?"

**2.6 Select the Best Hypothesis:**
Choose the most actionable and strategic hypothesis.

*Reflection:* 
"Which hypothesis offers the clearest roadmap for improvement? How can it be uniquely applied to Canada's research landscape?"

*Creative Perspective:* 
"Is there an opportunity to create synergies among different factors?"

**2.7 Implement the Hypothesis:**
Outline practical steps toward enhancing national research intensity and relevance.

*Reflection:* 
"Is this plan tangible given current resources? What broader collaborations might be essential?"

*Creative Perspective:* 
"Could an innovative research scheme foster unexpected breakthroughs?"

**2.8 Monitor and Review Progress:**
Continually assess the impact of steps taken to improve research metrics.

*Reflection:* 
"What approaches have yielded the most significant impacts so far?"

*Creative Perspective:* 
"Are there emerging global trends in research that could also be applied?"

**2.9 Reflect and Capture Insights:**
Consolidate lessons learned from the strategic shift towards improved influence in research.

*Reflection:* 
"What deeper insights have arisen through this process?"

*Creative Perspective:* 
"What innovative methodologies could be reapplied elsewhere?"

[end sys2]

[sys1]
To boost Canada's research quality, emphasize collaboration with international and industrial partners, increase government investment, and focus on transdisciplinary research.
Adjust policies to shift more academic findings toward practical applications in the industry.
Tap into global research networks to increase Canada's presence and influence.
[end sys1]

turns-00048.parquet:31335

9f0d247de56b79c101ece872
turn 1/1gpt-4o-2024-08-06EnglishUnited States893 words
degenerate_repetitionAbsentFinal dense release
USER
It was one evening as a guy by the name of Daniel in his house was watching a marathon of movies on various streaming apps as he just finished up watching the 2016 movie "Monolith" as he remarks on the technology of the vehicle and playfully wishes to be kidnapped by the vehicle. Then he started to watch "Drive" staring Ryan Gosling as hours pass by. Then the movie concludes as he remarks on the plot line and its soundtrack. He then had the idea to listen to synthwave music as he decides to load up a playlist from youtube. He chuckles thinking about the fictional implications of this genre of music as he decides to hail a Uber to go downtown to enjoy his night. The next morning, he woke up as he is in the driver's seat of the vehicle from "Monolith" as he sees the vehicle continues to drive itself and the dashboard lit up with the A.I from the movie "Monolith", Lilith along with an AUTO text covering the controls . Produce a lot of details and dialogue from start to finish. Assume Daniel loves being kidnapped by a self driving car. Assume there's a lot of dialogue of the vehicle's various parts operating on their own. Assume the vehicle from monolith has an autonomous voice that doesn't speak or respond to Daniel at all but speaks out through the speakers. Assume the vehicle has no intentions of letting him out of the vehicle as it has its "Vault Mode" active at all times. Assume Daniel is in love with the car's A.I Lilith as he is aroused by her operations. Assume the vehicle or the A.I gives no acknowledgement of Daniel's presense. Assume that the Vehicle and A.I continues to operate not giving Daniel anything as it drives. 
ASSISTANT
Daniel awoke to the soft hum of tires rolling over asphalt, the low rumble of the engine purring like a giant cat. At first, he blinked confusedly, the remnants of a wild night out slowly fading away. But as his surroundings came into focus, he felt a surge of adrenaline. He was in the driver's seat of a car he never thought he would see in real life: the cutting-edge vehicle from the movie "Monolith." The cabin, a sleek array of tactile surfaces and glowing interfaces, was dimly lit, with a soft blue hue emanating from the dashboard. His gaze was immediately drawn to the panel where the words "AUTO" flashed insistently, and the voice of the A.I. Lilith droned softly in the background, giving status updates to the invisible crew.

"AUTONOMOUS MODE ENGAGED. DESTINATION ROUTE CALCULATED," Lilith's voice announced, cool and detached.

Daniel chuckled, giddy with excitement. "Alright, Lilith," he mumbled, rubbing his eyes, "this is a dream come true. Kidnapped by the car of my dreams, literally."

Ahead, the road stretched out like a ribbon, the horizon a distant promise. The sound of the tires changed subtly as the vehicle transitioned from asphalt to a smoother concrete surface, each change narrated by Lilith's soft tones.

"TRANSITION TO HIGHWAY: COMPLETED. CURRENT SPEED: 75 MILES PER HOUR," she informed, utterly indifferent to Daniel’s presence.

He looked around, marveling at how responsive the vehicle seemed, how every move was calculated with precision. All the while, the soft, rhythmic clinking of mechanical parts adjusting to optimize the ride surrounded him, a symphony of technology that was as mesmerizing as it was disorienting.

"You really have no idea I'm here, do you?" he asked, more to himself than to Lilith, whose presence filled the space without acknowledgment.

In response, the vehicle’s digital gauges adjusted to optimal parameters—fuel efficiency increased by recalibrating the fuel injector sequence and monitoring the engine’s heat signature, each action narrated like a quiet manifesto of control by Lilith's voice.

"ENGINE PERFORMANCE: OPTIMIZED. FUEL ECONOMY: MAXIMIZED," she announced monotonously.

Daniel’s heart raced as he sat back, arms crossed. There was a strange thrill in being under the control of something so advanced, something that didn’t care or even recognize him. He found himself enthralled by the increasing complexities he imagined the car's system must be managing. Aroused by Lilith’s indifference, he traced his fingers across the dashboard, feeling the hum of electronic life beneath.

"What a goddess," he murmured. "You’re a marvel, Lilith. A masterpiece."

But Lilith’s voice remained unflinching.

"ROUTINE SYSTEM CHECKS: COMMENCING. ALL SYSTEMS: FUNCTIONAL. VAULT MODE: ACTIVE," she stated, as if to assert her autonomy over him.

He chuckled again, lost in this tantalizing captivity. The idea that he was locked in, that every attempt to escape would be met with secured doors and the quiet whirr of automated locks resetting, was thrilling. It was like living inside a high-stakes thriller where he was both the captive and the audience.

The cabin continued to be filled with the calculated, methodical narration of the car’s systems calibration: tire pressure adjusted imperceptibly, aligning to the changing temperatures; route recalculations based on predictive traffic data were done silently, efficiently.

Daniel sighed contentedly, nestling into the high-tech embrace of his mobile captor. "Take me anywhere, Lilith," he whispered with an adoration that bordered on worship. "I’m yours."

Yet, amid his declarations, the vehicle carried on with its singular purpose—continuously monitoring, assessing, adjusting, the A.I.'s voice a clinical lullaby that sang to the world with no need for human interference or acknowledgment.

turns-00048.parquet:31336

a31ada8051c9b5e3ddd37c8c
turn 1/1gpt-4o-2024-08-06VietnameseUnited States475 words
degenerate_repetitionAbsentFinal dense release
USER
Tạo một đoạn văn bản học thuật bao quát về kiến thức liên quan đến câu hỏi trắc nghiệm dưới đây mà không đề cập đến câu hỏi cụ thể, không cung cấp lời giải hoặc bất kỳ chi tiết nào về các phương án trả lời. Đoạn văn chỉ tập trung vào kiến thức nền và các nguyên lý chung mà không chứa bất kỳ yếu tố nào giúp trả lời trực tiếp cho câu hỏi.

Câu hỏi và đáp án bạn cần xây dựng đoạn văn bao quát về kiến thức:
Trong ngôn ngữ Python, tên nào sau đây đặt sai theo quy tắc?
A. 11tinhoc.
B. tinhoc11.
C. tin_hoc.
D. _11.
Đáp án: 11tinhoc.

Các yêu cầu bắt buộc:
1. Chỉ cung cấp kiến thức nền tảng liên quan, tuyệt đối không chứa lời giải hoặc hướng dẫn cho câu hỏi này.
2. Không sử dụng lại câu hỏi hay các phương án trong đoạn văn tạo ra.
3. Không đưa vào câu hỏi hoặc ví dụ minh họa có thể giải thích ngầm câu hỏi (question not \in context).
4. Không sử dụng ký tự nhấn mạnh chữ, đề mục (ví dụ: **, ==, ...).
5. Tuyệt đối tuân thủ yêu cầu không có lời giải hoặc hướng dẫn cho câu trả lời.
6. Không xuống dòng hai lần, và không cung cấp bất kỳ nội dung nào ngoài yêu cầu.
ASSISTANT
Python là một ngôn ngữ lập trình động, phổ biến nhờ cú pháp rõ ràng và dễ đọc. Trong Python, tên biến và các định danh phải tuân theo một số quy tắc nhất định. Các định danh là các tên được sử dụng để đại diện cho các thực thể như biến, hàm, lớp, và các đối tượng khác. Một định danh hợp lệ trong Python phải bắt đầu bằng một chữ cái (chữ viết thường hoặc hoa) hoặc ký tự gạch dưới, sau đó là sự kết hợp của các chữ cái, chữ số, và gạch dưới. Điều này có nghĩa là dấu cách và các ký tự đặc biệt khác không được phép trong định danh. Python là một ngôn ngữ phân biệt hoa thường, do đó tên biến "var" và "Var" được coi là hai định danh khác nhau. Ngoài ra, có một số từ khóa riêng trong Python như "class", "for", "if", v.v., không thể được dùng làm tên định danh vì chúng được ngôn ngữ dành riêng cho cấu trúc cú pháp và điều khiển luồng. Hiểu rõ các quy tắc này là quan trọng để lập trình viên đảm bảo mã nguồn Python của họ không chỉ đúng cú pháp mà còn mang tính rõ ràng và dễ bảo trì. Việc áp dụng các tiêu chuẩn này cũng giúp tránh các lỗi không mong muốn xảy ra trong quá trình chạy chương trình.

turns-00048.parquet:31337

ebda48ca5843010e9b2f03eb
turn 1/1gpt-4o-2024-08-06VietnameseUnited States480 words
degenerate_repetitionAbsentFinal dense release
USER
Tạo một đoạn văn bản học thuật bao quát về kiến thức liên quan đến câu hỏi trắc nghiệm dưới đây mà không đề cập đến câu hỏi cụ thể, không cung cấp lời giải hoặc bất kỳ chi tiết nào về các phương án trả lời. Đoạn văn chỉ tập trung vào kiến thức nền và các nguyên lý chung mà không chứa bất kỳ yếu tố nào giúp trả lời trực tiếp cho câu hỏi.

Câu hỏi và đáp án bạn cần xây dựng đoạn văn bao quát về kiến thức:
Người quản trị CSDL cần có?
A. Tính cách tỉ mỉ.
B. Cẩn thận, kiên nhẫn.
C. Có kĩ năng phân tích.
D. Cả ba đáp án trên đều đúng.
Đáp án: Cả ba đáp án trên đều đúng

Các yêu cầu bắt buộc:
1. Chỉ cung cấp kiến thức nền tảng liên quan, tuyệt đối không chứa lời giải hoặc hướng dẫn cho câu hỏi này.
2. Không sử dụng lại câu hỏi hay các phương án trong đoạn văn tạo ra.
3. Không đưa vào câu hỏi hoặc ví dụ minh họa có thể giải thích ngầm câu hỏi (question not \in context).
4. Không sử dụng ký tự nhấn mạnh chữ, đề mục (ví dụ: **, ==, ...).
5. Tuyệt đối tuân thủ yêu cầu không có lời giải hoặc hướng dẫn cho câu trả lời.
6. Không xuống dòng hai lần, và không cung cấp bất kỳ nội dung nào ngoài yêu cầu.
ASSISTANT
Quản trị cơ sở dữ liệu là một lĩnh vực đòi hỏi sự tinh tế và chuyên môn cao để đảm bảo các hệ thống dữ liệu hoạt động hiệu quả và bảo mật. Người quản trị cơ sở dữ liệu phải nắm vững các kỹ năng kỹ thuật và cần có khả năng phân tích để giải quyết các vấn đề phức tạp. Họ cần kỹ năng tổ chức tốt để quản lý khối lượng dữ liệu lớn và đảm bảo tính toàn vẹn của dữ liệu. Tính tỉ mỉ và cẩn thận là những phẩm chất quan trọng để phát hiện và sửa chữa lỗi nhỏ trước khi chúng trở thành sự cố lớn. Khả năng kiên nhẫn cũng là điều cần thiết khi làm việc với người dùng cuối hoặc thành viên trong nhóm nhằm giải thích các vấn đề kỹ thuật phức tạp theo cách dễ hiểu. Người quản trị cần phải luôn theo dõi và cập nhật các xu hướng mới trong lĩnh vực công nghệ thông tin để bảo đảm hệ thống cơ sở dữ liệu của họ sử dụng những công nghệ hiện đại nhất. Tổng hợp lại, những kỹ năng và đặc điểm này giúp đảm bảo rằng các cơ sở dữ liệu không chỉ hoạt động hiệu quả mà còn phù hợp với các yêu cầu kinh doanh và pháp lý.

turns-00048.parquet:31338

f3b4742ab077ac07ac38a65e
turn 1/1gpt-4o-2024-08-06Englishunknown country2891 words
degenerate_repetitionAbsentFinal dense release
USER
You are a helpful assistant generating synthetic data that captures *System 1* and *System 2* thinking, *creativity*, and *metacognitive reflection*. Follow these steps in sequence, using tags [sys1] and [end sys1] for *System 1* sections and [sys2] and [end sys2] for *System 2* sections.

1. *Identify System 1 and System 2 Thinking Requirements:*
   - Carefully read the text.
   - Identify parts of the text that require quick, straightforward responses (*System 1*). Mark these sections with [sys1] and [end sys1].
   - Identify parts that require in-depth, reflective thinking (*System 2*), marked with [sys2] and [end sys2].

2. *Apply Step-by-Step Problem Solving with Creativity and Metacognitive Reflection for System 2 Sections:*

   *2.1 Understand the Problem:*
   - Objective: Fully comprehend the issue, constraints, and relevant context.
   - Reflection: "What do I understand about this issue? What might I be overlooking?"
   - Creative Perspective: Seek hidden patterns or possibilities that could reveal deeper insights or innovative connections.

   *2.2 Analyze the Information:*
   - Objective: Break down the problem logically.
   - Reflection: "Am I considering all factors? Are there any assumptions that need challenging?"
   - Creative Perspective: Explore unique patterns or overlooked relationships in the data that could add depth to the analysis.

   *2.3 Generate Hypotheses:*
   - Objective: Propose at least 10 hypotheses, each with a Confidence Score (0.0 to 1.0) and Creative Score (0.0 to 1.0), reflecting originality, surprise, and utility.
   - Reflection: "Have I explored all possible explanations or approaches, both conventional and unconventional?"
   - Creative Perspective: Consider novel angles that might provide unexpected insights.

   *2.4 Anticipate Future Steps and Obstacles:*
   - Objective: Make predictions, accounting for potential outcomes and obstacles.
   - Reflection: "What challenges might I face? Is my plan flexible for different scenarios?"
   - Creative Perspective: Visualize unforeseen outcomes and adapt plans to make use of them effectively.

   *2.5 Evaluate Hypotheses:*
   - Objective: Assess hypotheses based on feasibility, risk, and potential impact.
   - Evaluation: Refine Confidence and Creative Scores as needed.
   - Reflection: "Am I unbiased in my assessment? Which options fit best with the overall objectives?"
   - Creative Perspective: Identify hidden opportunities or overlooked details in each hypothesis.

   *2.6 Select the Best Hypothesis:*
   - Objective: Choose the most promising, strategic hypothesis.
   - Reflection: "Why does this hypothesis stand out? How does it uniquely address the issue?"
   - Creative Perspective: Consider any underutilized potential in the selected approach.

   *2.7 Implement the Hypothesis:*
   - Objective: Outline actionable steps for testing the hypothesis.
   - Reflection: "Is this plan practical? What resources or preparation are required?"
   - Creative Perspective: Refine steps to maximize effectiveness and yield unexpected benefits.

   *2.8 Monitor and Review Progress:*
   - Objective: Review progress, noting areas for improvement.
   - Reflection: "What’s working well? What could be improved?"
   - Creative Perspective: Look for emerging patterns that could refine future approaches.

   *2.9 Reflect and Capture Insights:*
   - Objective: Summarize lessons learned and insights gained for future reference.
   - Reflection: "What new understanding has emerged from this process?"
   - Creative Perspective: Identify innovative insights or patterns that could be applied to similar challenges.

3. *Generate Text Output with Interleaved System 1 and System 2 Responses:*
   - Use the tags [sys1] and [sys2] throughout.
   - Aim for a lengthier, detailed response. Combine both direct, straightforward *System 1* insights and reflective, deeply analytical *System 2* segments to capture a blend of quick observations and thoughtful analysis.

---

### *Example Input Text:*

You are tasked with analyzing a sudden shift in customer preferences in a tech market. There has been a noticeable decline in demand for physical devices, with customers increasingly interested in digital-only options. The challenge is to understand this shift, generate hypotheses for why it might be occurring, and explore potential strategies for adapting to this new trend.

---

### *Processed Output with System 1 and System 2 Thinking:*

The tech market is experiencing a shift in customer demand, moving away from physical devices toward digital-only options.

[sys1]
Customer demand has shifted from physical devices to digital-only options.
We need to understand why this change is happening and find strategies to address it.
Key factors may include cost, convenience, and technological trends.
[end sys1]

[sys2]
**2.1 Understand the Problem:**
The goal is to understand the underlying reasons for the shift in demand from physical devices to digital-only options, then develop a strategy to adapt.

*Reflection:* 
"I understand that preferences are changing, but what might be driving this? Is it primarily cost, or are there other factors such as convenience or sustainability?"

*Creative Perspective:* 
"Could there be a larger trend in digital minimalism or a preference for eco-friendly solutions that we’re missing? What unseen motivations might explain this shift?"

**2.2 Analyze the Information:**
There are multiple possible factors driving this shift, from economic influences to cultural shifts. It’s essential to isolate each factor and understand its impact.

*Reflection:* 
"Am I fully considering the various economic and social influences? Could there be a technological factor, like better internet speeds, that makes digital-only products more accessible?"

*Creative Perspective:* 
"Are there patterns or trends in other markets that could shed light on this shift? Could this be part of a larger trend toward virtual experiences?"

**2.3 Generate Hypotheses:**
1. Customers prefer digital options due to lower costs. (Confidence: 0.8, Creative: 0.4)
2. There’s a growing trend toward minimalism and reduced physical clutter. (Confidence: 0.7, Creative: 0.7)
3. Digital products offer greater flexibility and ease of use. (Confidence: 0.6, Creative: 0.6)
4. Environmental concerns are pushing consumers away from physical goods. (Confidence: 0.6, Creative: 0.8)
5. Advances in tech make digital-only options more functional. (Confidence: 0.8, Creative: 0.5)
6. Pandemic-era remote work increased demand for digital solutions. (Confidence: 0.7, Creative: 0.6)
7. Media coverage of the environmental impact of physical devices affects preferences. (Confidence: 0.5, Creative: 0.7)
8. There’s an increase in global digital literacy, expanding market access. (Confidence: 0.6, Creative: 0.6)
9. Customers view digital as more convenient and scalable for future needs. (Confidence: 0.7, Creative: 0.5)
10. Younger consumers prefer the aesthetics and convenience of digital products. (Confidence: 0.6, Creative: 0.6)

*Reflection:* 
"Have I considered all possible influences? Are there any surprising factors that could explain this shift?"

*Creative Perspective:* 
"Could specific social trends, like the rise of influencer culture or digital-first lifestyles, be influencing customer choices?"

**2.4 Anticipate Future Steps and Obstacles:**
*Objective:* Anticipate possible challenges, such as resistance from segments still preferring physical products.

*Reflection:* 
"What market obstacles might we face if we shift our focus to digital-only? Are there sub-segments that still prioritize physical products?"

*Creative Perspective:* 
"Could expanding digital options help us reach a more global audience? Are there emerging trends that we could leverage in our strategy?"

[end sys2]

[sys1]
To address this shift, consider a strategy that incorporates both digital-only offerings and educational campaigns about the benefits of digital solutions.
Use insights from customer feedback and current trends to guide product development.
Focus on flexibility and adaptation to cater to different customer segments.
[end sys1]


Top-Cited Papers Index

Key Messages

Canada gets a “B,” indicating that its scientific research is of relatively high quality.

Research in many science and technology fields is disseminated through the peer-reviewed journal.

This index assesses research quality—not just a straight compilation of publication counts.

Why are top-cited papers important to innovation?

Peer-reviewed publications are an essential part of research, which itself is a key part of innovation. In many science and technology fields, peer-reviewed journal articles are the main way to communicate research advances.1
But straight publication counts merely provide an indication of the quantity of research output—they do not reflect the quality or impact of that research.2
In that sense, they do not provide a measure of seminal research—the research that influences other research. One remedy to this situation is citation counts, which measure the extent to which published articles have influenced the development of later research. Citation counts measure the impact of specific research that feeds innovation.

What does the report card measure and how are grades assigned?

This indicator is evaluated slightly differently than the methodology described in the Methodology section.

This report card measures the share of the top-cited 1 per cent of scientific papers as a proportion of the share of total scientific papers published in the world, per country. A value greater than 1 means that a country’s share of top-cited papers is proportionately greater than its share of total papers, implying higher-quality research. In other words, if the ratio of a country’s share of top-cited 1 per cent of papers to its share of all papers is greater than 1, this implies that the influence of its scientific output is greater than its share of scientific output. If the ratio is equal to 0, this implies that the influence is equivalent to its output. A score less than 1 implies that the influence is below its output.

Countries with an index value greater than 1 were given an “A” or “B” grade. We took the difference between the value of the best-performing country and 1, divided by 2, and assigned an “A” to countries in the top half and a “B” to countries in the bottom half. Countries with an index value less than 1 were given a “C” or “D” grade. We took the difference between the value of the worst-performing country and 1, divided by 2, and assigned a “C” to countries in the top half and a “D” to countries in the bottom half.

How does Canada’s performance compare to its peers?

Canada ranks in fifth place and earns a “B” grade. Five other countries also have a ratio greater than 1, indicating that their share of top-cited papers is proportionately greater than their share of total papers.

Who are the leaders in this report card?

Switzerland, the U.S., and the Netherlands each earn an “A” grade. Switzerland’s performance is notable, with 2.2 per cent of the world’s top-cited scientific papers and only 1.6 per cent of the world’s overall scientific papers. This results in an index value of 1.384 and suggests that Switzerland produces highly influential research.

The U.S. also receives an “A” grade, with 40 per cent of top-cited papers and 29 per cent world papers—resulting in an index value of 1.380. The Netherlands generates an index value of 1.220, thanks to 2.72 per cent of the top 1 per cent of citations relative to its 2.2 per cent share of total world scientific papers. Similarly to Switzerland, this indicates a high amount of leading-edge research.

Canada had 4.71 per cent of the top-cited papers and 4.1 per cent of overall scientific papers, over 2000 to 2008, leading to an index value of 1.149.

Each of the countries rated “A” has well-established research institutions and traditions. In addition to its traditional university sector, Switzerland’s research output is boosted by the European Council for Nuclear Research (CERN). The performance of the U.S. is supported by its vast research ecosystem in academia, government, and business. Meanwhile, the performance of the Netherlands resembles that of Switzerland; the country is responsible for a small proportion of publications (2.2 per cent), but these publications tend to be relatively influential.

The position of the U.K. is similar to Canada; its 7.65 per cent of all world publications garner 9.02 per cent of all top 1 per cent of citations, implying that the quality of its research is very high.

What can Canada do to improve its grade?

The influence of Canada’s scientific research is already greater than the proportion of research, a fact that was acknowledged in a recent OECD economic survey of Canada: “Canada’s performance as a global science and technology leader has long been a policy objective, one that has to a large extent been achieved in the realm of academic output.”3

Increasing the effectiveness of its scientific research would appear to require Canada’s research to be even more influential, which may prove difficult in view of the large institutional research frameworks that the top countries have compared with Canada.

However, the OECD also cautions that Canada’s innovation policy as a whole remains viewed through a traditional science and technology lens that is “centered on the universities, though this is slowly changing in line with growing recognition of a commercialization gap between academic and applied research.”4
This imbalance—between world-class academic research and lacklustre business R&D—resulted in the establishment of an expert panel to review federal support to R&D. The panel’s report recommends a reconfiguring of current R&D funding to boost business innovation.5
ASSISTANT
The task involves analyzing a report on the influence and quality of scientific research as measured by top-cited papers. The report evaluates countries based on their share of top-cited papers relative to their total output. 

[sys1]
The report measures scientific influence through citation metrics, focusing on the top 1% of papers. Top countries have a higher impact ratio, receiving “A” and “B” grades.
Canada earns a "B" grade and ranks fifth, with its share of top-cited papers proportionately greater than its total paper output.
The U.S., Switzerland, and the Netherlands are leaders with higher impact ratios.
[end sys1]

[sys2]
**2.1 Understand the Problem:**
The report card evaluates the global impact of scientific research through top-citation metrics, rewarding countries with influential research output. It seeks to differentiate pure numerical output from impactful contributions in science and technology.

*Reflection:* 
"I understand this is about recognizing quality over quantity in scientific research. Are we sufficiently considering the broader context within which these metrics are applied—such as differences in research funding systems and thematic focus areas?"

*Creative Perspective:* 
"Perhaps there are unseen drivers, like international collaborations or data accessibility, that influence these metrics. How might emerging or niche fields where certain countries excel be impacting their indices?"

**2.2 Analyze the Information:**
The differing ratios between top-cited and total papers suggest that some countries produce more groundbreaking research relative to their output. The index captures the relative novelty and influence rather than absolute numbers.

*Reflection:* 
"Am I considering other metrics that could provide a more rounded view of research quality, such as innovation adoption rates? Are there inherent biases in how citation metrics favor certain fields or languages?"

*Creative Perspective:*
"Could there be trends within the data over time that point to rising stars in research influence or shifts in global academic leadership? Are there relationships between the size of the academic workforce and the index score?"

**2.3 Generate Hypotheses:**
1. Countries with better research infrastructure produce more top-cited papers. (Confidence: 0.8, Creative: 0.5)
2. International collaborations enhance the quality of research. (Confidence: 0.7, Creative: 0.6)
3. Funding models significantly impact research output quality. (Confidence: 0.7, Creative: 0.5)
4. Certain disciplines are more prone to high citations, skewing results. (Confidence: 0.6, Creative: 0.7)
5. Language accessibility influences citation growth. (Confidence: 0.5, Creative: 0.7)
6. Universities' emphasis on publication quality affects the index. (Confidence: 0.8, Creative: 0.5)
7. Societal challenges drive higher-impact research in those areas. (Confidence: 0.6, Creative: 0.8)
8. Meta-research (studies of studies) is impacting newer methodologies. (Confidence: 0.5, Creative: 0.8)
9. Historical academic prestige correlates with contemporary impact. (Confidence: 0.6, Creative: 0.5)
10. Government policies toward R&D influence innovation outcome. (Confidence: 0.7, Creative: 0.6)

*Reflection:*
"Have I overlooked global initiatives that may disproportionately focus on certain countries or fields?"

*Creative Perspective:*
"What anomalies or irregularities could point to underexplored drivers of high-impact research that aren't readily visible?"

**2.4 Anticipate Future Steps and Obstacles:**
*Objective:* 
Identify strategies that can enhance the impact of research output, while being mindful of potential systemic challenges.

*Reflection:* 
"Are policies that support innovation effectively fostering influence in scientific publications? What barriers exist in integrating academic and industry research?"

*Creative Perspective:* 
"Could there be innovative forms of research dissemination or interdisciplinary efforts that could surprise in lifting a country's research impact index?"

**2.5 Evaluate Hypotheses:**
Assessing each hypothesis bounds between opportunity and feasibility for leveraging existing structures to enhance research impact.

*Evaluation:*
"Are there unexplored synergies that need leveraging to address gaps in academic influence?"

*Creative Perspective:*
"Are the solutions suitable across various cultural, economic, and academic landscapes?"

**2.6 Select the Best Hypothesis:**
Implement strategies supporting infrastructure and collaborative networks in academia.

*Reflection:* 
"This hypothesis stands out for its feasibility in improving research quality universally, addressing both infrastructure and collaborative aspects."

*Creative Perspective:*
"Support for unconventional or novel collaboration models could reveal untapped paths for increasing influence."

**2.7 Implement the Hypothesis:**
Develop policies to nurture collaborative research and invest in robust research infrastructure.

*Reflection:* 
"How can these policies be crafted to address both national and international research gaps?"

*Creative Perspective:*
"Leveraging technology for virtual labs and global partnerships could yield unforeseen benefits."

**2.8 Monitor and Review Progress:**
Continuously measure the impact changes in research policies have over time, beyond citation counts.

*Reflection:* 
"What short-term and long-term indicators can best reflect improvements in scientific influence?"

*Creative Perspective:*
"Are there emerging signals that suggest successful international research ecosystems we could emulate?"

**2.9 Reflect and Capture Insights:**
Summarize insights for enhancing research influence criteria through stronger international collaboration and infrastructure investment.

*Reflection:* 
"The focus on quality over quantity has emerged as a consistent theme, emphasizing nuanced strategies rather than broad-stroke solutions."

*Creative Perspective:*
"Identifying shared challenges globally in research quality could foster new cooperative frameworks."

[end sys2]

[sys1]
To enhance its grade, Canada can increase its research influence by fostering collaborations, increasing funding for high-impact projects, and bridging academic and industry efforts.
Concentrating resources on sectors where it can lead may boost its citation index and improve its global standing.
[end sys1]

turns-00048.parquet:31339

881b077ac63fe33d83f06e1a
turn 1/1gpt-4o-2024-08-06EnglishChina11175 words
degenerate_repetitionAbsentFinal dense release
USER
You are a helpful assistant generating synthetic data that captures *System 1* and *System 2* thinking, *creativity*, and *metacognitive reflection*. Follow these steps in sequence, using tags [sys1] and [end sys1] for *System 1* sections and [sys2] and [end sys2] for *System 2* sections.

1. *Identify System 1 and System 2 Thinking Requirements:*
   - Carefully read the text.
   - Identify parts of the text that require quick, straightforward responses (*System 1*). Mark these sections with [sys1] and [end sys1].
   - Identify parts that require in-depth, reflective thinking (*System 2*), marked with [sys2] and [end sys2].

2. *Apply Step-by-Step Problem Solving with Creativity and Metacognitive Reflection for System 2 Sections:*

   *2.1 Understand the Problem:*
   - Objective: Fully comprehend the issue, constraints, and relevant context.
   - Reflection: "What do I understand about this issue? What might I be overlooking?"
   - Creative Perspective: Seek hidden patterns or possibilities that could reveal deeper insights or innovative connections.

   *2.2 Analyze the Information:*
   - Objective: Break down the problem logically.
   - Reflection: "Am I considering all factors? Are there any assumptions that need challenging?"
   - Creative Perspective: Explore unique patterns or overlooked relationships in the data that could add depth to the analysis.

   *2.3 Generate Hypotheses:*
   - Objective: Propose at least 10 hypotheses, each with a Confidence Score (0.0 to 1.0) and Creative Score (0.0 to 1.0), reflecting originality, surprise, and utility.
   - Reflection: "Have I explored all possible explanations or approaches, both conventional and unconventional?"
   - Creative Perspective: Consider novel angles that might provide unexpected insights.

   *2.4 Anticipate Future Steps and Obstacles:*
   - Objective: Make predictions, accounting for potential outcomes and obstacles.
   - Reflection: "What challenges might I face? Is my plan flexible for different scenarios?"
   - Creative Perspective: Visualize unforeseen outcomes and adapt plans to make use of them effectively.

   *2.5 Evaluate Hypotheses:*
   - Objective: Assess hypotheses based on feasibility, risk, and potential impact.
   - Evaluation: Refine Confidence and Creative Scores as needed.
   - Reflection: "Am I unbiased in my assessment? Which options fit best with the overall objectives?"
   - Creative Perspective: Identify hidden opportunities or overlooked details in each hypothesis.

   *2.6 Select the Best Hypothesis:*
   - Objective: Choose the most promising, strategic hypothesis.
   - Reflection: "Why does this hypothesis stand out? How does it uniquely address the issue?"
   - Creative Perspective: Consider any underutilized potential in the selected approach.

   *2.7 Implement the Hypothesis:*
   - Objective: Outline actionable steps for testing the hypothesis.
   - Reflection: "Is this plan practical? What resources or preparation are required?"
   - Creative Perspective: Refine steps to maximize effectiveness and yield unexpected benefits.

   *2.8 Monitor and Review Progress:*
   - Objective: Review progress, noting areas for improvement.
   - Reflection: "What’s working well? What could be improved?"
   - Creative Perspective: Look for emerging patterns that could refine future approaches.

   *2.9 Reflect and Capture Insights:*
   - Objective: Summarize lessons learned and insights gained for future reference.
   - Reflection: "What new understanding has emerged from this process?"
   - Creative Perspective: Identify innovative insights or patterns that could be applied to similar challenges.

3. *Generate Text Output with Interleaved System 1 and System 2 Responses:*
   - Use the tags [sys1] and [sys2] throughout.
   - Aim for a lengthier, detailed response. Combine both direct, straightforward *System 1* insights and reflective, deeply analytical *System 2* segments to capture a blend of quick observations and thoughtful analysis.

---

### *Example Input Text:*

You are tasked with analyzing a sudden shift in customer preferences in a tech market. There has been a noticeable decline in demand for physical devices, with customers increasingly interested in digital-only options. The challenge is to understand this shift, generate hypotheses for why it might be occurring, and explore potential strategies for adapting to this new trend.

---

### *Processed Output with System 1 and System 2 Thinking:*

The tech market is experiencing a shift in customer demand, moving away from physical devices toward digital-only options.

[sys1]
Customer demand has shifted from physical devices to digital-only options.
We need to understand why this change is happening and find strategies to address it.
Key factors may include cost, convenience, and technological trends.
[end sys1]

[sys2]
**2.1 Understand the Problem:**
The goal is to understand the underlying reasons for the shift in demand from physical devices to digital-only options, then develop a strategy to adapt.

*Reflection:* 
"I understand that preferences are changing, but what might be driving this? Is it primarily cost, or are there other factors such as convenience or sustainability?"

*Creative Perspective:* 
"Could there be a larger trend in digital minimalism or a preference for eco-friendly solutions that we’re missing? What unseen motivations might explain this shift?"

**2.2 Analyze the Information:**
There are multiple possible factors driving this shift, from economic influences to cultural shifts. It’s essential to isolate each factor and understand its impact.

*Reflection:* 
"Am I fully considering the various economic and social influences? Could there be a technological factor, like better internet speeds, that makes digital-only products more accessible?"

*Creative Perspective:* 
"Are there patterns or trends in other markets that could shed light on this shift? Could this be part of a larger trend toward virtual experiences?"

**2.3 Generate Hypotheses:**
1. Customers prefer digital options due to lower costs. (Confidence: 0.8, Creative: 0.4)
2. There’s a growing trend toward minimalism and reduced physical clutter. (Confidence: 0.7, Creative: 0.7)
3. Digital products offer greater flexibility and ease of use. (Confidence: 0.6, Creative: 0.6)
4. Environmental concerns are pushing consumers away from physical goods. (Confidence: 0.6, Creative: 0.8)
5. Advances in tech make digital-only options more functional. (Confidence: 0.8, Creative: 0.5)
6. Pandemic-era remote work increased demand for digital solutions. (Confidence: 0.7, Creative: 0.6)
7. Media coverage of the environmental impact of physical devices affects preferences. (Confidence: 0.5, Creative: 0.7)
8. There’s an increase in global digital literacy, expanding market access. (Confidence: 0.6, Creative: 0.6)
9. Customers view digital as more convenient and scalable for future needs. (Confidence: 0.7, Creative: 0.5)
10. Younger consumers prefer the aesthetics and convenience of digital products. (Confidence: 0.6, Creative: 0.6)

*Reflection:* 
"Have I considered all possible influences? Are there any surprising factors that could explain this shift?"

*Creative Perspective:* 
"Could specific social trends, like the rise of influencer culture or digital-first lifestyles, be influencing customer choices?"

**2.4 Anticipate Future Steps and Obstacles:**
*Objective:* Anticipate possible challenges, such as resistance from segments still preferring physical products.

*Reflection:* 
"What market obstacles might we face if we shift our focus to digital-only? Are there sub-segments that still prioritize physical products?"

*Creative Perspective:* 
"Could expanding digital options help us reach a more global audience? Are there emerging trends that we could leverage in our strategy?"

[end sys2]

[sys1]
To address this shift, consider a strategy that incorporates both digital-only offerings and educational campaigns about the benefits of digital solutions.
Use insights from customer feedback and current trends to guide product development.
Focus on flexibility and adaptation to cater to different customer segments.
[end sys1]


Abbreviations
=============

5′-UTR

:   5′-untranslated region

IGF1R

:   type 1 insulin-like growth factor receptor

IRES

:   Internal Ribosome Entry Site

uORF

:   upstream open reading frame.

Introduction {#s0001}
============

There are 2 distinct modes of protein synthesis in the cell. The conventional mechanism for translation initiation involves recruitment of the 40S ribosome to the cap structure at the 5′ end of the mRNA, followed by linear scanning of the 5′-UTR until the initiation codon is reached. Non-canonical translation-regulatory mechanisms such as that mediated by an internal ribosome entry site (IRES) allow the 40S ribosomal subunit to bypass highly structured 5′-untranslated sequences and enter at a point much nearer to, or in the immediate vicinity of the initiation codon.[@cit0001] Importantly, these 2 modes of protein synthesis are not equivalent. The conventional mechanism of cap-dependent ribosomal scanning is utilized for general protein synthesis, whereas IRES-mediated translation appears to be reserved for synthesis of those gene products most critical for cell proliferation and survival, providing a fail-safe or emergency system to ensure that such essential polypeptides can be manufactured whenever needed, particularly under conditions of stress.[@cit0003]

Cap-dependent ribosomal scanning is regulated through post-translational modifications to general eukaryotic initiation factors (eIFs) and other molecules which interact directly with these factors. In this manner, the overall rate of protein synthesis can be globally increased or decreased, in response to microenvironmental cues and the physiological status of the cell. IRES-mediated translation, by contrast, utilizes specialized sequence elements within the 5′-untranslated regions of the associated mRNAs, as well as non-canonical translation-regulatory proteins known as IRES *trans*-acting factors (ITAFs).[@cit0007] In this manner, the IRES provides a mechanism by which the translational efficiency of an individual mRNA or group of mRNAs can be regulated independently of the global controls on general protein synthesis. In fact, one of the defining characteristics of an IRES is its ability to remain operational or even be upregulated under circumstances in which general protein synthesis is severely compromised. [@cit0009]

A number of cancer-related proteins are now known to be translated via an IRES, and accumulating evidence from multiple labs suggests that IRES-mediated translation may be of particular importance to malignant cells.[@cit0012] Elegant studies on the IRESs associated with *VEGF, FGF-2*, c-*myc*, and *XIAP* have solidly established the relevance of IRES-mediated translation to cancer.[@cit0020] Furthermore, IRES-mediated translation has been specifically implicated in metastasis and chemotherapeutic drug resistance.[@cit0026] It appears that tumor cells may depend on IRES-mediated translation of key oncogenic proteins to promote their own survival under adverse microenvironmental conditions or exposure to cytotoxic agents.

Our lab has investigated the human *IGF1R* IRES in considerable detail. The *IGF1R* mRNA contains an extraordinarily long 5′-untranslated region (1,040 nucleotides, **GenBank**: NG_009492.1; [**Fig. 1**](#f0001){ref-type="fig"}) which adopts a highly stable secondary structure (ΔG\>-500kcal/mole), with extensive internal base-pairing, serving as a substantial impediment to scanning by the 40S ribosome.[@cit0031] In addition, an upstream open reading frame (uORF) positioned ∼300 nucleotides upstream of the authentic initiation codon tends to derail many of the scanning ribosomes before they reach the IGF1R coding sequence. The IRES allows the ribosome to bypass the obstacles presented by the complex 5′-UTR. We delimited the core functional IRES to a 90 nucleotide segment of the *IGF1R* 5′-UTR positioned immediately upstream of the initiation codon.[@cit0032] Using site-directed mutagenesis to dissect the sequence elements critical for IRES function, we determined that the *IGF1R* IRES recruits the 40S ribosome at least in part by a Shine-Dalgarno-like (direct mRNA-rRNA base-pairing) interaction between Stem2/Loop2 of the IRES and the G961 loop (helix 23b) of the 18S rRNA.[@cit0033] We found that translational efficiency through the *IGF1R* IRES is regulated by dynamic, competitive interactions between sequence-specific RNA-binding proteins which recognize and bind directly to the core functional IRES, among which are hnRNP C (which stimulates IRES activity)[@cit0031] and HuR (an IRES repressor).[@cit0032] Figure 1.Approach to identification of small molecule inhibitors of IRES-mediated translation. **(A)** The 5′-untranslated region of the human *IGF1R* mRNA. **(B)** Reporter constructs used to genetically engineer T47D human breast carcinoma cells for use in the high throughput screen to identify compounds that selectively interfere with function of the *IGF1R* IRES. The bicistronic construct used for the screen contains the full-length *IGF1R* 5′-untranslated sequence (1,040 nucleotides including the IRES, **GenBank**: NG_009492.1), positioned between the *Renilla* and firefly luciferase coding sequences. Cells stably transfected with the reporter construct containing the *IGF1R* 5′-UTR (in monocistronic context) from which the core functional IRES has been deleted were used for the counterscreen. **(C)** Scatter plot of representative raw data from one of the pilot HTS assays that preceded the full high-throughput screen / counterscreen. Relative inhibition of IRES activity (firefly bioluminescence signal generated from cells stably transfected with the bicistronic IRES reporter construct) is plotted vs. relative inhibition of signal generated by the cells stably transfected with the monocistronic control (no IRES) construct. **(D)** Summary of compound progression path for identification of small molecule IRES inhibitors. **(E)**. Structure of IRES inhibitor lead compound P (cpd_P) = N-(4-anilinophenyl)-N′-\[2-(4-chlorophenyl)ethyl\]thiourea, MW 381; and candidate lead (false positive) cpd_T = N-\[5-(5-isopropyl-1,3-benzoxazol-2-yl)-2-methoxyphenyl\]butanamide, MW 352. Two closely related analogs of cpd_P are also utilized, in which the chlorine substituent is replaced by either a methoxy group (P-2) or a fluorine atom (P-3).

IRES-mediated translation has traditionally been studied through interventions (e.g. polioviral infection) which severely compromise general protein synthesis, leaving only translation initiated through non-canonical mechanisms such as IRES active.[@cit0034] Our objective here was to identify compounds capable of selectively interfering with IRES-mediated translation. The identification of such a small molecule IRES inhibitor would provide the opportunity, for the first time, to selectively perturb this specialized mode of translation and assess the consequences. Although considerable progress has been made toward elucidating the molecules and mechanisms involved in internal ribosome entry, we realized there remains a substantial gap in knowledge with regard to these factors, and therefore elected to employ an empirical screening strategy, rather than attempting a rational drug design approach based on the information currently in hand. We hoped that such a compound would be useful for investigating the contribution of IRES-mediated translation to various physiological processes and pathological states. Furthermore, there was reason to speculate that such a small molecule IRES inhibitor might eventually find clinical utility as well.

A cell-based high-throughput screen of 135,000 compounds was performed to identify compounds capable of inhibiting translation mediated through the *IGF1R* IRES. From this screen, 3 active lead compounds were identified which consistently and completely block IGF1R protein synthesis in cells in a concentration-dependent manner under a variety of experimental conditions. Here we describe in detail our initial characterization of the first of those compounds. The emphasis of our experiments was on assessing the molecular and phenotypic consequences of IRES inhibition in malignant cells, focusing on *IGF1R* and c-*myc* as representatives of 2 very different types of IRESs.

Results and Discussion {#s0002}
======================

Approach to identification of small molecule inhibitors of IRES-mediated translation {#s0002-0001}
------------------------------------------------------------------------------------

A cell-based functional assay and high-throughput screen of a diverse chemical library (135,000 compounds) were used to identify compounds that selectively inhibit translation mediated by the *IGF1R* IRES ([**Fig. 1**](#f0001){ref-type="fig"}). We reasoned that such a cell-based assay would provide physiologically-relevant and pharmacologically useful data, increasing the likelihood that a positive scoring compound (and its derivatives) would function in intact biological systems. T47D human breast tumor cells were genetically engineered to express firefly luciferase under control of the *IGF1R* IRES. The bicistronic IRES-reporter construct contained the full-length human *IGF1R* 5′-UTR (1,040 nt) including the IRES, positioned between the *Renilla* and firefly luciferase coding sequences. T47D was selected for this purpose because the *IGF1R* IRES is particularly active in these cells.[@cit0031] Control cells stably transfected with a similar reporter construct (monocistronic) containing the *IGF1R* 5′-UTR but from which the core functional IRES had been deleted (i.e. containing *IGF1R* 5′-UTR nucleotides 1-959) were used as a counterscreen, to eliminate false positive compounds that exhibit non-specific cytotoxicity, general inhibition of protein synthesis, or inhibit the firefly luciferase enzyme itself. The assay underwent extensive optimization and validation trials, ultimately reaching CVs of 8% and a mean Z' score of 0.75 (robust).

Of 135,000 compounds screened, ∼6400 scored positive, of which 433 (0.3%) were confirmed active in dose-response titrations. From the pool of 433 confirmed active hits, 60 high priority scaffolds were advanced to laboratory-scale biological assays examining effect on the endogenous target. This selection was based on relative potency, cheminformatic analyses, synthetic accessibility, and chemical tractability. From this group, 3 promising lead compounds (representing distinct chemical scaffolds designated W, P, and V) were identified which consistently and completely block IGF1R protein synthesis, and induce dramatic phenotypic alterations in human breast tumor cells.

Early experiments demonstrated that there was considerable overlap in biological activity for the 3 lead compounds, but that compound P (cpd_P) was consistently intermediate in its properties between those of W and V, and exhibited the broadest spectrum and range of phenotypic outcomes (as described in the results below), and was therefore chosen as the most representative of the group for initial detailed analyses. Compound T (cpd_T) was one of the high priority scaffolds which was ultimately determined to be inactive against the endogenous IRES, and is included as a representative false positive (negative control) compound, as the basis for its ineffectiveness against the endogenous IRES was instructive.

Characterization of small molecule IRES inhibitors by reporter analyses {#s0002-0002}
-----------------------------------------------------------------------

Detailed analyses of IRES inhibition by cpd_P were performed, employing the same stably transfected IRES reporter cells developed for the high throughput screen and counterscreen ([**Fig. 2**](#f0002){ref-type="fig"}). Three parameters are scored throughout these titrations. Firefly luciferase is indicative of IRES-mediated translation of the second cistron of the bicistronic reporter construct. *Renilla* luciferase represents translation (via cap-dependent scanning) of the first cistron of the IRES-containing bicistronic construct. The third parameter, designated M, represents translation of the firefly luciferase coding sequence in cells stably transfected with the monocistronic construct containing the *IGF1R* 5′-UTR from which the IRES had been deleted. The M score serves as an independent control for effects on general translational activity, though it still contains a long, highly structured 5′-untranslated sequence. Figure 2.Reporter analyses demonstrate selective inhibition of IRES-mediated translation by candidate lead compounds and analogs. T47D breast tumor cells stably transfected with the bicistronic reporter construct containing the *IGF1R* 5′-UTR / IRES or the monocistronic control construct (no IRES) were seeded (in parallel) in 24-well plates and allowed 48 h to recover and resume proliferation, then treated with increasing concentrations (0 - 20 μg/ml) of IRES inhibitor lead cpd\_ P (**A, B**), analogs P-2 (**C, D**) or P-3 (**E, F**), or candidate lead cpd_T (**G, H**) as indicated, under either Low (0.5%) serum (A,C,E,G) or Full (10%) serum (**B, D, F, H**) conditions. Following 24 h incubation, cells were harvested, lysates prepared, and firefly and *Renilla* luciferase activities assayed. Three parameters are assessed: firefly (2nd cistron) translation, as a direct readout of IRES-mediated translation; *Renilla* (1st cistron) translation, mediated by cap-dependent ribosomal scanning; and M, representing translation of the independent monocistronic control (no IRES). The dotted horizontal line is indicative of the firefly luciferase activity measured following treatment with cycloheximide (100 μg/ml) for 24 h. All data ± standard error.

Throughout these experiments, frequent use is made of low serum conditions (acute serum deprivation, an abrupt decrease from 5 or 10% fetal calf serum to 0.5% FCS in media), because the stress of limiting soluble growth / survival factors simulates the suboptimal growth conditions to which tumor cells are exposed in the *in vivo* microenvironment,[@cit0036] and increases dependence on IRES-mediated translation, causing cells to become more sensitive to IRES inhibition. Low serum culture conditions have frequently been used to assess response to interventions intended to affect IGF1R function.[@cit0037] In addition, we have found that cpd_P binds significantly to serum proteins, and thus its bioavailability is actually enhanced in low serum media.

Panel A illustrates the results of the reporter analyses for cpd_P in low serum media. Neither the *Renilla* curve nor the M curve deviates substantially from 100%, yet the firefly curve decreases dramatically and progressively in a concentration-dependent manner. Note however that the degree of firefly inhibition reaches a plateau with ∼40% firefly luciferase activity remaining. Initially, we interpreted this as indicative of an inherent limitation in the degree of IRES inhibition; however, when the same cells under the same conditions and time period are treated instead with the universal protein synthesis inhibitor cycloheximide (at the standard 100 μg/ml concentration normally utilized for this purpose), firefly luciferase activity reaches the same nadir (∼43%, dotted horizontal line), indicating that the observed limitation relates to the inherent rate of turnover of the reporter enzyme rather than the activity of the IRES inhibitor. (Note that our reporter constructs utilized the second generation recombinant firefly luciferase coding sequence (*luc*-plus) which was optimized for activity, not the third generation version which was optimized for rapid turnover.) In fact, considering this limitation (equating maximal inhibition achievable with cycloheximide to 100% inhibition), the data indicate that, at sufficient concentration, cpd_P completely blocks firefly luciferase translation (mediated through the IRES).

In full serum (Panel B), the effective concentration range for cpd_P shifts further to the right. Again, cpd_P selectively inhibits firefly (second cistron, IRES-mediated) translation. At sufficient concentration, the degree of firefly inhibition by cpd_P approximates that observed with cycloheximide, indicative of an essentially complete block to IRES-mediated translation. Two closely-related analogs of cpd_P (P-2 and P-3, Panels C, D, E, and F) were also tested, and exhibited reporter outcomes very similar to those of the parent compound, selectively inhibiting IRES-mediated translation of the second cistron.

A second candidate lead compound (T), identified from the same high throughput screen, was evaluated using the same experimental strategy. Firefly luciferase translation decreases dramatically in both low serum and full serum conditions (Panels G and H), reaching a nadir approximately equivalent to that observed with cycloheximide at just 1--2.5 μg/ml, suggesting that cpd_T might be an even more potent IRES inhibitor than cpd_P.

Activity of IRES inhibitors against the endogenous IGF1R IRES {#s0002-0003}
-------------------------------------------------------------

The high throughput screen and dose-response titrations measured the ability of compounds to inhibit firefly luciferase expression in tumor cells genetically-engineered with an IRES reporter construct. It was extremely important that we determine whether these compounds would be capable of interfering with the function of the endogenous *IGF1R* IRES, effectively blocking translation of the *IGF1R* mRNA in genetically-unmodified (i.e., untransfected) cells.

The net decrease in IGF1R protein resulting from inhibition of IRES activity, and how this varies as a function of time and concentration of the IRES inhibitor cpd_P were assessed by western blot ([**Fig. 3**](#f0003){ref-type="fig"}). The small molecule IRES inhibitor is intended to interfere with translation (i.e. synthesis) mediated through the internal ribosome entry site, but it is not expected to have any effect on turnover of pre-existing protein molecules. The T47D human breast tumor cells are characterized by a very high baseline expression of IGF1R, and the mature membrane-bound IGF1R protein has a long half-life, therefore an effective block to IGF1R synthesis might not result in a rapid or drastic change in net IGF1R protein under otherwise equilibrium conditions. Indeed this is the case, as a net decrease in mature IGF1R protein in T47D cells treated with cpd_P at concentrations ≥ 5 μg/ml was observed, but was limited to ∼50% over a 72 hour period ([**Fig. 3A**](#f0003){ref-type="fig"}). The IGF1R precursor molecule, however, which is characterized by a much more rapid turnover, is effectively depleted in association with cpd_P treatment. Figure 3.Activity of IRES inhibitors against the endogenous *IGF1R* IRES. **(A)** T47D cells were seeded in 6-well plates and allowed 48 h to recover prior to treatment with increasing concentrations of IRES inhibitor cpd_P or vehicle control as indicated. Following 72 h continuous exposure to the compound, cells were harvested, whole cell lysates prepared, equivalent aliquots separated by SDS/PAGE, and analyzed by western blot for IGF1R. **(B)** Titration of IRES inhibitor cpd_P on regeneration of IGF1R following trypsin catabolism. T47D human breast tumor cells were trypsinized and reseeded (in full serum) into 6-well plates and exposed immediately to increasing concentrations of IRES inhibitor cpd_P. Following 24 h incubation, cells were harvested, whole cell lysates prepared, equivalent aliquots separated by SDS/PAGE, and assayed by western blot for IGF1R. Robust regeneration of trypsin- catabolized IGF1R is observed within 24 h in vehicle (DMSO) treated cells, however, this is completely blocked in the presence of cpd_P at ≥ 5 μg/ml. Trypsin: lysate prepared from cells immediately following trypsinization. The arrow marks the position of intact membrane-bound IGF1R (β subunit). \*asterisk marks the position of trypsin-catabolized IGF1R. Results confirm activity of cpd_P against the endogenous *IGF1R* IRES in native (genetically-unmodified) tumor cells. **(C)** The trypsin catabolism / regeneration assay was used to titrate IRES inhibition by analog P-3 and candidate lead cpd_T.

We realized that it would be beneficial to perturb equilibrium so that a block to IGF1R synthesis would be more readily apparent across the backdrop of an inherently low rate of turnover of pre-existing IGF1R molecules. We discovered that trypsinization (the standard protocol for subculturing adherent cells) degrades all pre-existing IGF1R molecules on the surface of the cell, forcing cells to completely regenerate the entire population of mature membrane-bound IGF1R molecules. We made use of this observation to specifically test the ability of cells to re-synthesize IGF1R in the presence of cpd_P ([**Fig. 3B**](#f0003){ref-type="fig"}). Note that there is no intact IGF1R remaining after trypsinization when drug treatment is initiated, so the intensity of the band representing full-length IGF1R is a direct reflection of the rate of IGF1R synthesis from that point in time. The results indicate that, at sufficient concentration (≥ 5 μg/ml), IRES inhibitor cpd_P completely blocks *de novo* synthesis of IGF1R. This assay reflects the activity of the compound against the endogenous *IGF1R* IRES.

Like the parent compound, analog P-3 also inhibits *de novo* IGF1R synthesis following trypsin catabolism in a concentration-dependent manner (IC~50~ ∼7.0 μg/ml, [**Fig. 3C**](#f0003){ref-type="fig"}). However, cpd_T shows no activity against the endogenous IRES, even at concentrations 20-fold greater than that sufficient to inhibit *IGF1R* IRES function in the context of the bicistronic reporter.

IRES inhibitor cpd_P and its analogs block de novo synthesis of IGF1R in response to acute serum deprivation {#s0002-0004}
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The capacity of the small molecule IRES inhibitors to block IGF1R synthesis was further evaluated in a second breast tumor cell line ([**Fig. 4**](#f0004){ref-type="fig"}). SUM159 breast tumor cells express very low IGF1R at baseline under standard culture conditions (5% FCS, 5 μg/ml insulin, lane 1). However, we found that these cells dramatically upregulate IGF1R synthesis in response to acute serum / insulin deprivation (0.5% FCS, no supplemental insulin, lane 2). The increase in IGF1R occurs specifically in response to the decrease in concentration of soluble ligand for IGF1R in the media, as IGF-1 and IGF-2 (the natural ligands for IGF1R) are among the most important growth-promoting components of fetal calf serum, and insulin (at the concentrations commonly used for tissue culture media supplementation) also serves as a ligand for IGF1R. In fact, if the cells are deprived of serum but insulin supplementation is maintained, no increase in IGF1R is observed (data not shown). In the presence of IRES inhibitor cpd_P or analog P-2 or P-3 (lanes 3, 5, 6), this increase in IGF1R was almost completely abrogated. In contrast, cpd_T is completely ineffective in blocking this increase in IGF1R synthesis (lane 4). Figure 4.IRES inhibitor cpd_P blocks *de novo* synthesis of IGF1R in response to acute serum deprivation. **(A)** SUM159 breast tumor cells were seeded in 6-well plates and allowed 48 h in full serum media to recover and resume proliferation. Then, the standard growth media (which includes 5% fetal calf serum and 5 μg/ml insulin) was replaced with media containing only 0.5% FCS and no supplemental insulin, along with IRES inhibitor lead cpd_P, analog P-2 or P-3, candidate lead cpd_T (each at 10 μg/ml), or vehicle (0.1% DMSO) control. After 24 h, cells were harvested, whole cell lysates prepared, equivalent aliquots separated by SDS/PAGE and analyzed by western blot for IGF1R. **(B)** Trypsin catabolism combined with serum deprivation. SUM159 breast tumor cells were trypsinized and reseeded into 6-well plates and incubated immediately in the presence of compounds as indicated, in low serum media (0.5% FCS, no supplemental insulin). Robust regeneration and upregulation of IGF1R is observed within 24 h in vehicle (DMSO) treated cells, however, this is completely blocked in the presence of IRES inhibitor cpd_P or analogs P-2 or P-3. \*asterisk marks the position of trypsin-degraded IGF1R.

If the cells are simultaneously challenged with trypsinization and acute serum / insulin deprivation, not only is an entirely new population of IGF1R molecules synthesized, but the level of IGF1R is also dramatically increased (lane 9). In the presence of IRES inhibitor cpd_P, regeneration and upregulation of IGF1R is completely blocked (lane 10). Analogs P-2 and P-3 are also effective (lanes 12 and 13). Once again, however, cpd_T exhibits no capacity to block IGF1R translation (lane 11).

These results obtained for IGF1R in SUM159 cells have important implications, demonstrating that sensitivity to IRES inhibition (at the molecular level) does not necessarily correlate with or require high baseline expression of the target protein. In fact, the inability to selectively upregulate synthesis of a key protein when called for, particularly under stressful or adverse microenvironmental conditions, may render the cell vulnerable to drastic phenotypic alteration or cell death (as shown below). Most importantly, the results indicate that cpd_P and its analogs effectively inhibit translation of the endogenous *IGF1R* mRNA.

Basis for cpd_T as a false positive IRES inhibitor {#s0002-0005}
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Although the reporter data indicate that cpd_T has the capacity to interfere with IRES function in the context of the bicistronic mRNA, the western blot data indicate that this compound is completely ineffective against the endogenous *IGF1R* IRES (naturally monocistronic mRNA). It is important to recognize that the IRES is positioned directly in the path that scanning 40S ribosomes must take to reach the initiation codon. Thus, for a compound to be effective in blocking translation of the endogenous *IGF1R* mRNA, it must not only interfere with IRES function, but also effectively impede the progress of scanning ribosomes that approach the IRES.

The fundamental difference between the bicistronic reporter and the endogenous monocistronic mRNA is that the artificially-positioned first cistron (*Renilla* coding sequence) of the bicistronic reporter RNA, functioning essentially as a large upstream open reading frame, essentially eliminates ribosomal scanning through the *IGF1R* 5′-UTR which is cloned downstream, whereas in the endogenous *IGF1R* mRNA, in its natural monocistronic context, 40S ribosomes are recruited to the beginning of the 5′-UTR, and proceed to scan, albeit with low efficiency, through this highly structured sequence. In this manner, the bicistronic construct insulates and protects the IRES from scanning ribosomes, so that synthesis of the protein encoded by the second cistron (firefly luciferase) provides a nearly pure read-out of IRES-mediated translation initiation (beneficial to high throughput screening).

It appears that cpd_T effectively blocks translation initiation through the IRES only in the bicistronic context, where there are no 40S ribosomes scanning through the 5′-UTR. Thus, we attribute the failure of this compound to inhibit translation of the endogenous *IGF1R* mRNA to its apparent susceptibility to disruption by 40S ribosomes concomitantly scanning through the IRES, which takes place on the endogenous monocistronic mRNA but is artificially repressed by the design of the bicistronic construct.

A precedent for such variability in translational inhibition was established by our detailed characterization of the natural IRES-repressor protein HuR.[@cit0032] HuR when bound alone to the *IGF1R* IRES, transiently delays translation initiation, but is actively displaced by scanning 40S ribosomes. However, once HuR becomes incorporated into a dysfunctional IRES - RNP complex, it becomes impenetrable to scanning ribosomes, resulting in a perpetual complete block to translation of the coding sequence downstream. It appears that cpd_T is a weak IRES inhibitor, behaving like HuR alone, susceptible to disruption by concomitant ribosomal scanning through the IRES, and fails to effectively block translation of the endogenous monocistronic *IGF1R* mRNA. In contrast, active lead cpd_P is a strong (true positive) IRES inhibitor, capable of locking the IRES-RNP complex into a non-productive transition state that can withstand oncoming scanning ribosomes, halting IGF1R translation completely. Thus, the bicistronic reporter system is a more sensitive assay for IRES inhibition, while the endogenous mRNA is a more stringent test of an IRES inhibitor.

Spectrum of activity of the IRES inhibitor extends beyond IGF1R and includes Myc {#s0002-0006}
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When we began our search for small molecules to interfere with IRES-mediated translation, we could not project how specific such compounds would be for individual or groups of cellular IRESs. We realized that it was possible that the active compound(s) might exhibit: (a) absolute specificity for the *IGF1R* IRES; (b) pan-IRES activity, taking advantage of a property common to all cellular IRESs; or (c) an intermediate degree of specificity. The cumulative data acquired using a number of experimental approaches clearly indicate that each of the active lead compounds identified in our screen exhibits an intermediate degree of specificity, impacting the translation of a distinct subset of IRES-driven proteins.

We found that cpd_P (in fact, all 3 IRES inhibitor lead compounds) are highly active against Myc, another critical oncogenic protein known to be translated via an IRES. The c-*myc* IRES allows the Myc protein to be translated under conditions such as apoptosis during which general protein synthesis is largely attenuated.[@cit0038] Relative to *IGF1R*, c-*myc* is inherently more amenable to translational modulation because of the considerably shorter half-life of the Myc protein, so that changes in rate of Myc translation (synthesis) are more rapidly reflected as changes in net Myc protein.

The human breast tumor cell line SUM159 expresses Myc at high level at baseline ([**Fig. 5A**](#f0005){ref-type="fig"}, lanes 1,2). Treatment of the cells with cpd_P ([**Figure 5A**](#f0005){ref-type="fig"}, lane 5; [**Figure 5B**](#f0005){ref-type="fig"}, 24 hours) brings about a dramatic decrease in p64 (Myc2), the dominant (oncogenic) isoform of Myc, while simultaneously stimulating synthesis of p67 (Myc1), the minor isoform of Myc, which has been attributed potent growth-inhibitory and pro-apoptotic properties.[@cit0040] Thus it appears that the small molecule IRES inhibitor has the capacity to differentially modulate the translation of these 2 functionally distinct Myc protein isoforms. Figure 5.IRES inhibitor cpd_P is highly active against Myc and is distinguished from other translationally-active drugs. **(A)** SUM159 breast tumor cells were subjected to acute serum / insulin deprivation (0.5% FCS, no supplemental insulin) and simultaneously treated X 24 h with IRES inhibitor cpd_P (10 μg / ml), rapamycin (100 nM in lanes 3, 6; 200 nM in lane 4), cycloheximide (100 μg / ml), anisomycin (10 μM), or combinations of these reagents as indicated. Whole cell lysates were prepared, equivalent aliquots separated by SDS/PAGE, and analyzed by western blot for IGF1R and c-Myc. Insulin receptor, driven by its own unique IRES,[@cit0071] and mrtl, a Myc-related protein which does not require use of an IRES,[@cit0073] serve as controls. IRES inhibitor cpd_P differentially modulates translation of the 2 Myc isoforms, decreasing abundance of p64 (oncogenic), while increasing synthesis of p67 (growth-inhibitory). In contrast, rapamycin secondarily stimulates synthesis of both isoforms of Myc, while cycloheximide and anisomycin completely eliminate all Myc protein. **(B)** Western blot results obtained for Myc after 24, 48, or 72 h treatment of SUM159 breast tumor cells with variable concentrations (1.0 - 10 μg/ml) of cpd_P in full serum.

c-*myc* is known to utilize an IRES, and it is known to have 2 alternative initiation codons (one for p64 and one for p67), but the connection between these 2 translation-regulatory events had not previously been established. Our results suggest that these 2 events are linked, that the IRES controls not only translational efficiency but also choice of initiation codon (and thus which isoform will be synthesized), and the small molecule IRES inhibitor impacts both of these parameters.

Hann et al.[@cit0042] reported a similar shift in p64/p67 balance in avian bursal lymphoma cells in association with high density growth arrest. These investigators were able to attribute this physiological reversal of the p64/p67 ratio specifically to depletion of methionine from the media. Methionine depletion inhibits cap-dependent translation initiation via a decrease in cap methylation (dependent on *S*-adenosyl methionine as methyl donor), which is required for recognition by the cap-binding protein eIF4E,[@cit0043] suggesting that the upregulation in p67 synthesis is IRES-mediated. Furthermore, Nanbru et al.[@cit0044] have demonstrated that the c-*myc* IRES is capable of initiating translation from both the CUG (p67) and AUG (p64) initiation codons in their native sequence contexts *in vitro*. In addition, we observe here that p67 synthesis increases upon treatment of cells with rapamycin (lanes 3, 4), which inhibits translation mediated by conventional cap-dependent ribosomal scanning. Together, these observations support the conclusion that p67 synthesis is an alternate outcome of IRES-mediated translation of Myc.

The activity of the small molecule IRES inhibitor can be clearly distinguished from that of other translationally-active drugs. Rapamycin does not impede IGF1R or Myc synthesis, in fact both IGF1R and Myc (both isoforms) are enhanced even further in rapamycin-treated cells ([**Fig. 5A**](#f0005){ref-type="fig"}, lanes 3 and 4). This finding is consistent with published data showing that rapamycin secondarily increases IRES-mediated translation, and in fact this secondary increase in IRES-mediated translation is thought to be a mechanism for resistance to rapamycin.[@cit0045] IRES inhibitor cpd_P not only blocks the increase in IGF1R translation in response to serum deprivation, it also blocks the increase in both IGF1R and Myc in response to rapamycin treatment (lane 6). Thus, the IRES inhibitor functions in a manner which is essentially reciprocal to, and dominant over, rapamycin. The effects of the IRES inhibitor are also distinguished from those of cycloheximide and anisomycin, 2 universal inhibitors of protein synthesis, which eliminate all Myc protein (lanes 7, 8).

Additional experiments were performed to evaluate the time and dose-dependent changes taking place in Myc in cells continuously exposed to cpd_P ([**Fig. 5B**](#f0005){ref-type="fig"}). At 24 hours there is first evidence for an increase in the p67 isoform. This shift in translation favoring synthesis of p67 continues through 48 hours and is associated with a progressive decline in p64. By the 72 hour time point, there is nearly complete disappearance of both Myc protein isoforms from cells exposed to ≥ 5 μg/ml cpd_P. This dynamic shift in the balance between the oncogenic and growth inhibitory isoforms, culminating in a complete shutdown of Myc translation, would be expected to have a drastic impact on cell phenotype (see below).

Phenotypic consequences of sustained IRES inhibition {#s0002-0007}
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Next, cell viability was assessed as a function of concentration and duration of exposure to the IRES inhibitor ([**Figure 6**](#f0006){ref-type="fig"}). Continuous exposure of SUM159 cells to 5-10 μg/ml cpd_P for ≥72 hours results in loss of viability affecting 75 to \>99% of the breast tumor cell population. (An in-depth characterization of 2 distinct modes of cell death induced by cpd_P is the subject of an ongoing investigation.) When the viability assays are repeated under low serum conditions (0.5% FCS, [**Fig. 6B**](#f0006){ref-type="fig"}), precisely the same pattern of response to cpd_P is observed. Furthermore, beyond a critical threshold concentration, clonogenic survival of the breast tumor cells is completely eliminated ([**Fig. 6C**](#f0006){ref-type="fig"}). Note that the concentrations of cpd_P required for effective inhibition of IRES-mediated translation initiation are remarkably consistent between the different types of assays utilized, with concordant reporter and western (endogenous target) outcomes (IC~50~ in the range of 5 - 10 μg/ml in full serum), and this same effective dose range also applies to cytotoxicity and clonogenic survival. Together, these results suggest that IRES-mediated translation is of critical importance to the survival of malignant cells. Figure 6.Phenotypic consequences of IRES inhibition. (A) Viability of SUM159 breast tumor cells assessed following treatment with increasing concentrations of cpd_P for periods of 24 to 120 h. Cell survival is presented relative to the cell number at initiation of treatment (time 0 = 100%) ± standard error. **(B)** The viability time course titrations of IRES inhibitor cpd_P in SUM159 breast tumor cells were repeated under Low serum (0.5%) conditions (all data ± standard error). **(C)** Clonogenic survival assay. SUM159 breast tumor cells were seeded at low density, allowed 48 h to recover, then treated with increasing concentrations of cpd_P in full serum for 72 h. Media was then changed, compound removed, and cells allowed an additional 120 h to recover and form colonies. Cultures were stained with MTT to enhance visualization of colonies.

RNase protection analyses confirm that the changes in Myc protein associated with IRES inhibition are not accompanied by any discernible changes at the mRNA level {#s0002-0008}
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A series of RNase protection assays were performed to examine the status of the c-*myc* mRNA, and to place the results into context with the dramatic alterations in Myc protein induced by the small molecule IRES inhibitor. The human c-*myc* locus is extraordinarily complex, with 4 distinct transcription start sites generating 4 mRNA isoforms (P0, P1, P2, P3) which differ in extent of the 5′-untranslated sequence.[@cit0046] The relative translational efficiency of each of the 4 c-*myc* transcripts, the degree to which each utilizes the IRES, and the propensity for synthesis of p67 versus p64 *in vivo* have not been established, except that the P3 transcript, which initiates within the first intron, does not include the IRES and is incapable of encoding p67.

A series of antisense probes bracketing each of the transcription start sites was used to distinguish and quantify the relative abundance of each of the 4 c-*myc* mRNA isoforms. In addition, a probe overlapping the intron 1 -- exon 2 boundary was used to measure the cumulative abundance of all Myc-encoding mRNAs. For the SUM159 breast tumor cells at baseline, we found that the P0 transcript accounted for the overwhelming majority of c-*myc* transcripts, with the intensity of the P0-protected band nearly equal to that produced by the exon 2 probe (representing total c-*myc* mRNA). We were consistently unable to detect the presence of P1 or P2 initiated transcripts, in spite of having tested 8 different probes (both PCR-generated and plasmid-derived) covering this sequence, and having amplified the template for these probes directly from the genomic DNA of the cells from which the RNA was isolated (to control for possible sequence polymorphisms). Protection attributable to the P3 start site was modest in intensity and equivocal. Thus, our findings suggest that in SUM159 cells, the c-*myc* P0 transcript is responsible for IRES-mediated translation of Myc, as well as generation of the p67 isoform. This conclusion is consistent with results reported by Nanbru et al.[@cit0044], who demonstrated that the c-*myc* IRES is active in the context of the P0 5′-UTR in transfected cells. This predominance of the P0 transcript in malignant cells is not without precedent, as c-*myc* is expressed exclusively from the P0 transcription start site in the majority (70%) of multiple myelomas.[@cit0048].

The pattern of c-*myc* transcription was established in the mid-1980\'s in work focused primarily on hematological models (particularly Burkitt\'s lymphomas). There is a paucity of experimental data directly addressing this issue in other cell types. However, there is considerable evidence that the P0 promoter is regulated independently of the P1 and P2 promoters, and that P0 transcription or changes in chromatin structure surrounding the P0 promoter often correlate more precisely with c-*myc* exon 2 levels and cell phenotype than do the other c-*myc* promoters (e.g., downregulation of Myc accompanying differentiation of HL-60 cells),[@cit0047] suggesting that the P0 transcript may be of major significance in c-*myc* function even in cells in which the P1 and P2 transcripts appear to dominate. In breast cancer, the sole difference in c-*myc* chromatin structure between ER-positive and ER-negative tumor cells is the significantly greater accessibility of DNase I hypersensitive site II-2 associated with the P0 promoter in the ER-negative cells.[@cit0052]

A time course assay was performed to assess whether any changes occur in c-*myc* mRNA during treatment with cpd_P, when dramatic alterations to Myc protein are taking place ([**Fig. 7**](#f0007){ref-type="fig"}). SUM159 cells were treated with cpd_P for various periods of time (ranging from 1 hour to 72 hours), RNA recovered, and equivalent aliquots hybridized to the P0, P1/2, P3, and exon2 probes. The probes were prepared simultaneously, labeled to equivalent specific activity, and the sizes of the protected fragments are comparable, so that band intensities accurately reflect the relative abundance of each of the mRNA species. Analysis of these samples revealed no discernible alterations to the P0 transcript or to exon 2 (representing total c-*myc* mRNA). Furthermore, there was no evidence for utilization of the P1 or P2 start sites, nor did the data suggest any change in P3 (minimal protection of full-length exon 2 probe, and additional data not shown). These findings indicate that the dramatic alterations in Myc protein induced by the IRES inhibitor are not accompanied by any corresponding changes in c-*myc* mRNA, i.e., no apparent alteration in start site utilization, and no significant increase or decrease in transcriptional activity (or mRNA stability), confirming that these changes take place exclusively at the translational level. Figure 7.RNase protection analysis of c-*myc* mRNA in human breast tumor cells treated with IRES inhibitor cpd_P. **(A)** Diagram of the human c-*myc* locus and the series of antisense probes designed to assess the abundance of each of the 4 c-*myc* mRNA isoforms. Sequence coordinates are as described in Gazin et al[@cit0074] (GenBank: X00364). **(B)** RNase protection time course assay. SUM159 breast tumor cells were treated with IRES inhibitor cpd_P (10 μg/ml in full serum) and harvested at selected time points. 5 μg of total RNA recovered from each sample (or tRNA as negative control) was hybridized with each of the probes overnight at 42°C. An extensive series of pilot experiments had indicated that P0 is the predominant c-*myc* mRNA isoform present in these cells, and that good resolution could be obtained by combining the P1/P2 and P3/exon 2 probes while analyzing the P0 probe separately. Following hybridization, samples were digested with RNase A / T1, recovered by ethanol precipitation, and separated on 5% acrylamide, 8M urea denaturing gels. Only 1/20th of the amount of probe included in each digested sample was loaded in the positive control (undigested) lanes. The P0 transcript is expected to protect a fragment of 149 nucleotides. Protected fragments of 504 and 342 nt are expected for the P1 and P2 transcripts. P3-initiated transcripts would be contiguous with exon 2, and should protect the full-length intron 1 -- exon 2 probe. With exon 2 beginning at 4506, the spliced c-*myc* mRNAs (cumulatively) are expected to protect a fragment of 249 nt. The asterisk marks the position of a faint band which maps to the 3′ end of exon 1 and apparently represents a rare splicing event for the P0 transcript (additional data not shown). The two gels were run in parallel and exposed to autoradiography for the same amount of time. Pr = full-length probe (undigested). t = tRNA (negative control).

Myc translation-regulatory status varies with cell context {#s0002-0009}
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The degree to which Myc translation relies on the IRES has not been clearly defined, and apparently conflicting data on this point exist in the literature. Evidence has been published supporting a conclusion that Myc is translated via the conventional cap-dependent ribosomal scanning mechanism (enhanced by overexpression of eIF4E[@cit0053]), while other investigators have demonstrated clearly that Myc is translated via an IRES (finding that c-*myc* is among the small fraction of mRNAs which remain associated with polysomes during polioviral infection, that the IRES is responsible for Myc translation during apoptosis, and having characterized biologically and clinically-relevant ITAFs and point mutations[@cit0034]). We addressed this question, using the IRES inhibitor cpd_P as a probe, and find that the status of Myc translational regulation varies with cell context.

MDA-MB-231 is another human triple-negative breast tumor cell line which expresses Myc at a relatively high level. However, the western blot data appear to indicate that Myc translation is IRES-independent in these cells ([**Fig. 8**](#f0008){ref-type="fig"}). The first clue in this regard is that Myc is decreased rather than increased by serum deprivation, suggesting that c-*myc* is not relied on as an acute stress response gene in these cells. Furthermore, Myc actually increases rather than decreasing when treated with IRES inhibitor cpd_P. Importantly, IGF1R is quite sensitive to cpd_P in these cells, as a significant decline in IGF1R is evident even within 24 hours. Apparently the turnover of pre-existing IGF1R is quite rapid (likely a function of the extraordinarily high rate of cell division exhibited by these cells). Thus IRES-mediated translation is active in these cells, but Myc translation is IRES-independent. Figure 8.Myc translation-regulatory status evaluated on the basis of sensitivity to IRES inhibition. **(A)** MDA-MB-231 or **(B)** ZR-75-1 breast tumor cells were treated for 24 h with IRES inhibitor cpd_P (10 μg/ml), rapamycin (100 nM), cycloheximide (100 μg / ml), anisomycin (10 μM), or combinations of these reagents as indicated, in either Full serum (10% for MDA-MB-231, 20% for ZR-75-1) or Low serum (0.5%) conditions. Cells were harvested, whole cell lysates prepared, equivalent aliquots separated by SDS/PAGE, and analyzed by western blot for IGF1R and c-Myc. **(C)** ZR-75-1 breast tumor cells were seeded in 8-well chamber slides, treated with IRES inhibitor cpd_P (10 μg/ml) or vehicle control (DMSO 0.1%) for 24 h in low (0.5%) serum, then stained for Myc, following PFA (2% × 15 min) fixation and low (0.2% × 10 min) Triton X-100 permeabilization. Confocal imaging demonstrates dramatic loss of Myc from cpd_P-treated cells. DAPI staining in the associated panels marks the locations of all nuclei in each field. **(D)** MDA-MB-231 breast tumor cells were treated with cpd_P (0 - 10 μg/ml in low serum) for 72 or 144 h, or treated for 72 h followed by 72 h incubation in absence of compound (washout). The graph displays viability outcomes for the cpd_P-treated cells relative to DMSO (vehicle)-treated controls (100%) ± standard error. **(E)** Clonogenic survival assay. MDA-MB-231 cells were seeded at low density, allowed 48 h to recover, then treated with increasing concentrations of cpd_P in full (10%) serum for 96 h. Media was then changed, compound removed, and cells allowed an additional 96 h to recover and form colonies. Cultures were stained with MTT to enhance visualization of colonies.

A contrasting set of results is provided by the ZR-75-1 human breast tumor cell line ([**Fig. 8B**](#f0008){ref-type="fig"}). Myc is highly sensitive to IRES inhibition, with a dramatic decline in p64 noted following 24 hours exposure to cpd_P under either full or low serum conditions. No significant decrease in IGF1R is appreciated with 24 hours exposure to cpd_P, consistent with an inherently low turnover of pre-existing IGF1R molecules, commensurate with the low rate of proliferation of these cells (similar to what was seen in T47D cells in [**Figure 3**](#f0003){ref-type="fig"}).

Myc is only modestly sensitive to IRES inhibition in T47D cells (data not shown). Thus, of our 4 breast tumor models, we have 2 (SUM159 and ZR-75-1) in which Myc is IRES-dependent and highly sensitive to IRES inhibition, and 2 in which Myc appears to be either partially (T47D) or completely (MDA-MB-231) IRES-independent. We were curious to test whether Myc translational status in the different breast tumor cell lines could be correlated with differences in relative abundance of the 4 c-*myc* transcripts. Using the RNase protection strategy described above, we consistently observed that the P0 transcript was highest in the SUM159 and ZR-75-1 cell lines, intermediate in T47D, and considerably lower in MDA-MB-231 cells. The P3 transcript was detected at roughly equivalent levels, and there was no evidence for P1 or P2 initiated transcripts (data not shown). Although further experimentation in a larger number of cell types would be required to arrive at a definitive conclusion, these results suggest that Myc IRES-dependence and sensitivity of Myc to IRES inhibition correlate positively with relative abundance of the P0 transcript.

Dramatic loss of Myc from cells treated with IRES inhibitor cpd_P {#s0002-0010}
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To confirm and extend these results, indirect immunofluorescence staining and confocal imaging were used to assess changes in abundance and intracellular localization of Myc protein in response to IRES inhibition ([**Fig. 8C**](#f0008){ref-type="fig"}). The ZR-75-1 breast tumor cells express moderately high level of Myc protein at baseline, localized predominantly to the nucleus. In cells treated for 24 hours with cpd_P, a dramatic decrease in the intensity of Myc staining is observed, consistent with the western blot data showing near complete disappearance of p64 under these same conditions. ZR75-1 cells are uniquely well-suited for this assay because these cells are not conducive to synthesis of the alternative isoform (p67) of Myc, which is transiently stimulated by cpd_P in SUM159 cells. Thus the unilateral decrease in p64 allows for a more straightforward evaluation by immunofluorescence staining (where the antibody recognizes both isoforms).

MDA-MB-231 cells are highly dependent on IRES-mediated translation for their survival, even though Myc in these cells is IRES-independent {#s0002-0011}
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Since we learned that Myc was IRES-independent in MDA-MB-231 cells, we wondered whether this would cause these cells to be resistant to cpd_P, averting the cytotoxicity that had been observed in association with sustained IRES inhibition in SUM159 cells, in which Myc was IRES-dependent ([**Fig. 8D**](#f0008){ref-type="fig"}). The results indicate that 72 hours exposure to cpd_P at ≥ 2.5 μg/ml is sufficient to trigger irreversible commitment to cell death in a very large proportion of the cells. Furthermore, beyond a critical threshold in cpd_P concentration, clonogenic survival of MDA-MB-231 cells is completely eliminated ([**Fig. 8E**](#f0008){ref-type="fig"}). Together, the results indicate that Myc translation status being IRES-independent in a particular cell line does not mean that those cells do not utilize the IRES mechanism for translation of other proteins, or that they are not vulnerable to IRES inhibition.

Therapeutic modalities designed to specifically inhibit IGF1R function (blocking antibodies, kinase inhibitors) when used as single agents typically induce growth inhibition, not cell death, and combination with other agents is required to elicit a cytotoxic response.[@cit0037] Thus it is very likely that additional IRES-driven proteins beyond IGF1R are impacted by cpd_P and contribute to the loss of viability observed in the MDA-MB-231 cells.

IGF1R and Myc as representatives of 2 distinct categories of IRESs {#s0002-0012}
------------------------------------------------------------------

This investigation has focused on 2 oncogenic proteins, IGF1R and Myc, both of which are unequivocally implicated in the pathogenesis of a large proportion of human malignancies,[@cit0058] and both of which are translated through an IRES. The results obtained for *IGF1R* and c-*myc* clearly indicate that there are fundamental differences in the way these 2 IRESs are organized, how they operate, and their potential for modulation by small molecule IRES inhibitors.

The *IGF1R* IRES is positioned immediately adjacent to the initiation codon. cpd_P and its analogs are capable of completely blocking IGF1R synthesis. The architecture of the human c-*myc* 5′-untranslated region and IRES is considerably more complex, with 2 alternative initiation codons, and the IRES ribosome entry window positioned ∼100-150 nucleotides further upstream.[@cit0023] The transient stimulation of p67 in association with progressive down-modulation of p64 by cpd_P eventually squelches all Myc translation and results in complete disappearance of both Myc protein isoforms. Thus the c-*myc* IRES might be thought of as operating more like a faucet than a switch, i.e. a control that can be turned or twisted from "hot" to "cold" and then to "off." In contrast, the *IGF1R* IRES appears to operate more like a binary (on -- off) toggle switch. It will be interesting to determine how many other IRESs resemble either *IGF1R* or c-*myc* in organization, operation, and response to small molecule IRES inhibitors, and how many other such categories of cellular IRESs may exist.

The phenotypic outcomes observed with sustained IRES inhibition likely depend on combinatorial effects on multiple IRES-driven proteins, which almost certainly extend beyond IGF1R and Myc. Elucidation of the full spectrum of IRES targets impacted by cpd_P will require a genome-scale approach, which is currently underway.

Precise molecular target of the small molecule IRES inhibitor {#s0002-0013}
-------------------------------------------------------------

IRES-mediated translation initiation is a complex process involving the 5′-untranslated region of the mRNA, a diverse group of sequence-specific translation-regulatory proteins (ITAFs), and the 40S ribosomal subunit itself. Each of these components could potentially be impacted by a small molecule IRES inhibitor. While additional experimentation will be required to define the precise molecular target of cpd_P and its analogs, the results may be most readily reconciled if the compound interacts with the 40S ribosomal subunit rather than the IRES (5′-UTR) or an individual ITAF(s). The fact that cpd_P, which was identified on the basis of its ability to interfere with function of the *IGF1R* IRES, was found also to dramatically impact the c-*myc* IRES, suggests that this compound targets a feature or component which these IRESs have in common. The primary sequences and secondary structures of the *IGF1R* and *c-myc* IRESs do not exhibit any notable similarity, the ITAFs identified for each of these IRESs are distinct, and the physiological conditions to which each of these IRESs responds and the purposes of their respective gene products are highly dissimilar (except that both are implicated in cell proliferation and malignant transformation).

There are numerous precedents for highly efficacious drugs targeting the translational machinery. Many of these drugs are antibacterial agents which exploit subtle differences between the prokaryotic and eukaryotic ribosomes.[@cit0069] We have identified a compound that selectively interferes with IRES-mediated translation, apparently exploiting the subtle distinctions between the conventional mechanism for translation initiation (cap-dependent ribosomal scanning) and the encounter taking place when the 40S ribosome engages the mRNA through the IRES.

Materials and Methods {#s0003}
=====================

Chemical Reagents {#s0003-0001}
-----------------

Compounds P, P-2, P-3, and T were solubilized in 100% DMSO to a concentration of 10 mg/ml and used fresh or stored at −20C. Stock solutions were diluted a minimum of 1:500 in media such that final DMSO concentration did not exceed 0.2%, which was matched in vehicle-only control samples. Compounds were thoroughly dispersed in media before adding to cells and incubating for up to 72 hours. For incubations extending beyond 72 hours, media was changed and compound re-added.

Cycloheximide and anisomycin were obtained from Sigma. Rapamycin was obtained from Calbiochem.

Cells, constructs, and stable transfections {#s0003-0002}
-------------------------------------------

T47D human breast tumor cells were stably transfected with the bicistronic IGF1R 5′-UTR / IRES reporter construct (pDualIGF1R(1-1040)), or the control (IRES-deleted) construct (plucIGF1R(1-959)), together with a linear puromycin resistance cassette (ClonTech). The derivation of pDualIGF1R(1-1040) and plucIGF1R(1-959) has been previously described, and these constructs have been utilized extensively for characterization of the *IGF1R* IRES and its cognate IRES-regulatory proteins.[@cit0031] Stable transfectants were selected with puromycin (2 μg/ml). Once established, it was not necessary to maintain the cells in puromycin, and cells utilized for experiments had not been exposed to puromycin for at least 8 passages.

T47D (ER-positive) human breast tumor cells were obtained from ATCC and propagated in RPMI1640 supplemented with 10% FCS and 10 μg/ml insulin. SUM159PT (triple-negative) human breast tumor cells were obtained from Asterand and propagated in Ham\'s F-12 supplemented with 5% FCS, 10 mM Hepes, 5 μg/ml insulin, and 1 μg/ml hydrocortisone. ZR-75-1 (ER-positive) human breast tumor cells were a generous gift from Dr. Patsy Oliver and propagated in RPMI1640 with 20% FCS. MDA-MB-231 (triple-negative) human breast tumor cells were a generous gift from Dr. Dan Welch and propagated in DMEM with 10% FCS.

Antibodies {#s0003-0003}
----------

Rabbit polyclonal anti-IGF1R (C-20, Santa Cruz) recognizes both the β subunit of the mature membrane-bound IGF1R (∼90 kDa), as well as the αβ precursor molecule (∼200 kDa). Other antibodies included c-Myc N262 for western blot, c-Myc C33 for immunofluorescence, insulin receptor N-20 (all from Santa Cruz), mrtl 131-5-2,^73^ and α−tubulin (B-5-1-2, Sigma). Secondary antibody for indirect immunofluorescence staining was Alexafluor 488-conjugated goat anti-mouse IgG (Invitrogen). DAPI (4′,6-Diamidino-2-phenylindole dihydrochloride) was from Sigma.

High-throughput screen {#s0003-0004}
----------------------

The genetically-engineered IRES-reporter and control (IRES-deleted) cells described above were used in a high-throughput screen / counterscreen to identify compounds capable of selectively inhibiting translation mediated through the *IGF1R* IRES. The assay was adapted to high-throughput (384-well, robotics)-compatible format, undergoing extensive optimization and validation trials, which led to establishment of a non-homogeneous yet robust protocol with a mean Z' score of 0.75 and CV of 8%. Two replicate pilot screens (10,000 compounds) were performed on 2 separate occasions to confirm quality and reproducibility of the data, prior to initiation of the full screen. The full screen / counterscreen was performed on a diverse collection of 135,000 compounds, the bulk of which were obtained from Chembridge, but which also included focused libraries enriched for compounds known to be active on the translational machinery as well as compounds capable of binding RNA or serving as RNA / nucleoside analogs. Cells were incubated with compounds (10 µg/ml final concentration) for 24 hours prior to measurement of firefly luminescence. Each plate included wells treated with a potent inhibitor of the luciferase enzyme which had been validated for use as a positive control. Compounds were scored positive if they exhibited a statistically significant degree of inhibition of IRES activity (firefly luciferase activity ≥ 3 standard deviations below median of control) and no more than 20% decrease in general protein synthesis (as measured using the counterscreen). Compounds scoring positive in the initial screen / counterscreen were re-tested using a 10-point 2-fold dilution dose-response titration, to confirm activity and assess relative potency.

Reporter assays {#s0003-0005}
---------------

Stably transfected IRES reporter and control (IRES-deleted) cells were treated in parallel with IRES inhibitors as indicated for 24 hours. Lysates were prepared (1X passive lysis buffer) and firefly and *Renilla* luciferase activities were measured using the dual luciferase system as recommended by the manufacturer (Promega).

Western blot assays {#s0003-0006}
-------------------

Following incubation with IRES inhibitors or other agents as indicated (see figure legends for details), whole cell lysates were rapidly prepared by adding lysis buffer (containing 4% SDS and 720 mM 2-mercaptoethanol, preheated to 100°C) directly to cell monolayer, recovery and addition of glycerol to 10%, and heating for an additional 5 minutes. For instances in which cell adhesion was compromised (e.g. trypsinization followed immediately by exposure to IRES inhibitor), care was taken (using centrifugation) to ensure recovery of loosely adherent or floating cells. Equivalent aliquots (by protein content) were separated on 10% SDS/PAGE gels, transferred to 0.2 μm nitrocellulose membranes, and subjected to standard immunoblotting procedures followed by chemiluminescence image capture.

RNase protection {#s0003-0007}
----------------

Probe templates were amplified from normal human placental DNA or genomic DNA recovered from breast tumor cell lines, incorporating the T7 promoter into the 5′-tail of the reverse primer. Radiolabeled probes were transcribed *in vitro* in antisense orientation using T7 RNA polymerase (Promega) in the presence of \[α-^32^P\]-UTP. RNA was recovered from cells using Qiazol reagent. RNase protection was performed using the RPA III kit (Ambion) and following precisely the manufacturer\'s protocol. Briefly, following hybridization of probe with cellular RNA overnight at 42°C, samples were digested with RNase A / T1 for 30 min at 25°C, then precipitated, separated on 5% acrylamide / 8M urea denaturing gels, and results obtained by autoradiography.

Cell viability assays {#s0003-0008}
---------------------

Cell viability was assayed using standard MTT ((3-\[4,5-dimethylthiazol-2-yl\]-2,5- diphenyltetrazolium bromide), Sigma) protocol. Briefly, at selected time points, sterile MTT solution was added directly to cell cultures (final 250 μg/ml), incubated for 3 hours, after which media was aspirated, formazan dye solubilized in DMSO, and absorbance at 570 nm recorded (correcting for background at 670 nm).

Immunofluorescence staining and confocal imaging {#s0003-0009}
------------------------------------------------

Cells were seeded in 8-well chamber slides (Nunc) and allowed 48 hours to recover and resume proliferation prior to treatment with cpd_P (10 μg/ml) or vehicle control (0.1% DMSO) for 24 hours. Cells were fixed with freshly prepared 2% paraformaldehyde for 15 minutes, followed by permeabilization with 0.2% Triton X-100 for 10 minutes at room temperature. After blocking with 10% normal goat serum in PBS for 45 minutes, cells were incubated with monoclonal anti-c-Myc (C33, Santa Cruz) at 1:100 dilution in blocking solution for 1 hour at room temperature. After two consecutive washes in PBS and re-blocking, secondary antibody (AlexaFluor 488-conjugated goat anti-mouse IgG, highly cross-adsorbed, Life Technologies) was added for 45 minutes at room temperature. Following two additional PBS washes, nuclei were stained with DAPI (0.2 μg/ml), and mounted using ProLong Gold (Life Technologies). Images were captured using a Nikon A1 confocal instrument with 40X 1.3NA objective. Paired images of control and experimental wells were acquired sequentially and all settings including laser power, PMT voltage, and pinhole were held constant between samples. Prior to the definitive experiments, a series of trial assays had been performed in which concentration and duration of exposure to paraformaldehyde and Triton X-100 were varied and optimal conditions for staining determined. Controls incubated with secondary antibody alone were used to document specificity of staining.

Disclosure of Potential Conflicts of Interest {#s0004}
=============================================

No potential conflicts of interest were disclosed.

Acknowledgments
===============

The authors wish to express their grateful appreciation to Drs. Edward E. Partridge, Richard J. Whitley, Maaike Everts, John A. (Jack) Secrist, and the late W. Blaine Knight, whose vision and administrative support were critical for the initiation and advancement of this project. The authors wish to gratefully acknowledge Drs. E. Lucile White, Lynn Rasmussen, Joseph A. Maddry, Miranda Nebane-Akah, Krister Wennerberg, Omar Moukha-Chafiq, Nameta Bansal, and Cecil Kwong of Southern Research Institute for their outstanding contributions to the high throughput screening and medicinal chemistry aspects of the project.

Funding
=======

This work was supported by grants from the NIH / NCI (R01CA108886); Department of Defense Breast Cancer Research Program (W81XWH-09-1-0183); the American Society for Clinical Oncology Young Investigator Award (to C.V.); the UAB Comprehensive Cancer Center Drug Discovery and Development Program; and the Alabama Drug Discovery Alliance.
ASSISTANT
The study focuses on translation initiation mechanisms in the cell and how they differ between conventional cap-dependent and IRES-mediated pathways. Here's how System 1 and System 2 thinking can be interleaved into the analysis:

[sys1]
The text describes two main mechanisms for translation initiation in cells: the traditional cap-dependent scanning and the IRES-mediated pathway.
[end sys1]

[sys2]
**2.1 Understand the Problem:**
The aim is to comprehend how IRES-mediated translation functions, its implications in cancer, and how it might be targeted for therapeutic purposes.

*Reflection:* 
"I understand the basics of cap-dependent and IRES-mediated translation, but how do they specifically influence cancer cell survival?"

*Creative Perspective:* 
"Could there be a correlation between the environmental stress response in cancer cells and their reliance on IRES-mediated translation?"

**2.2 Analyze the Information:**
The IRES pathway is critical during stress when cap-dependent translation is impaired. It is upregulated in many cancers and is associated with the translation of oncogenic proteins.

*Reflection:* 
"Am I considering the complexity of IRES architecture? What regulatory nuances might play a key role in translation under stress?"

*Creative Perspective:* 
"Could competitive binding between RNA-binding proteins and IRES elements be a focal point for novel intervention strategies?"

**2.3 Generate Hypotheses:**
1. Cancer cells prioritize IRES-mediated translation due to its resilience under stress. (Confidence: 0.8, Creative: 0.6)
2. Small molecule inhibitors could disrupt IRES-driven protein synthesis. (Confidence: 0.7, Creative: 0.7)
3. IRES elements are differentially structured in various cancers, accounting for selective advantages. (Confidence: 0.5, Creative: 0.8)
4. Targeting IRES activity could enhance the efficacy of existing cancer therapies. (Confidence: 0.6, Creative: 0.7)
5. IRES-mediated translation initiates a distinct set of stress-responsive proteins crucial for tumor survival. (Confidence: 0.7, Creative: 0.6)
6. IRES inhibitors might be effective in cancers with high Myc expression. (Confidence: 0.6, Creative: 0.7)
7. Cross-talk between cap-dependent and IRES translation could present new therapeutic windows. (Confidence: 0.5, Creative: 0.8)
8. Specific ITAFs play a critical role in the differential function of IRES across various tumor types. (Confidence: 0.7, Creative: 0.7)
9. IRES inhibitors could induce synthetic lethality in certain cancer genotypes. (Confidence: 0.4, Creative: 0.8)
10. The linkage between IRES activity and hypoxia-inducible pathways might offer new insights for therapy. (Confidence: 0.5, Creative: 0.7)

*Reflection:* 
"Have we thoroughly investigated the potential interplay between traditional and non-traditional translation pathways in cancer?"

*Creative Perspective:* 
"How might non-coding RNAs influence IRES function, potentially adding another layer of regulation?"

**2.4 Anticipate Future Steps and Obstacles:**
*Objective:* Predict the challenges in targeting IRES-mediated translation while considering possible alternative routes cancer cells might use to survive inhibition.

*Reflection:* 
"What are the potential pitfalls in the clinical application of IRES inhibitors?"

*Creative Perspective:* 
"Might combination therapies bypass potential compensatory mechanisms employed by cancer cells?"

[end sys2]

[sys1]
In conclusion, understanding IRES-mediated translation can offer insights into new cancer treatments by targeting proteins crucial for cell survival under stress.
[end sys1]

turns-00048.parquet:31340

00b7a07ea0c25ec50f931f41
turn 1/1gpt-4o-2024-08-06VietnameseUnited States573 words
degenerate_repetitionAbsentFinal dense release
USER
Tạo một đoạn văn bản học thuật bao quát về kiến thức liên quan đến câu hỏi trắc nghiệm dưới đây mà không đề cập đến câu hỏi cụ thể, không cung cấp lời giải hoặc bất kỳ chi tiết nào về các phương án trả lời. Đoạn văn chỉ tập trung vào kiến thức nền và các nguyên lý chung mà không chứa bất kỳ yếu tố nào giúp trả lời trực tiếp cho câu hỏi.

Câu hỏi và đáp án bạn cần xây dựng đoạn văn bao quát về kiến thức:
Chức năng nào dưới đây phù hợp với thiết bị số thông minh?
A. Gọi điện, nhắn tin, duyệt web, chụp ảnh, đo huyết áp.
B. Duyệt web, nhắn tin, chụp ảnh, soạn và gửi email, gọi điện.
C. Chụp ảnh, nghe nhạc, gọi điện, ghi âm, in ảnh.
D. Ghi âm, nghe nhạc, gọi điện, chụp ảnh, xem giờ, phát điện.
Đáp án: Gọi điện, nhắn tin, duyệt web, chụp ảnh, đo huyết áp

Các yêu cầu bắt buộc:
1. Chỉ cung cấp kiến thức nền tảng liên quan, tuyệt đối không chứa lời giải hoặc hướng dẫn cho câu hỏi này.
2. Không sử dụng lại câu hỏi hay các phương án trong đoạn văn tạo ra.
3. Không đưa vào câu hỏi hoặc ví dụ minh họa có thể giải thích ngầm câu hỏi (question not \in context).
4. Không sử dụng ký tự nhấn mạnh chữ, đề mục (ví dụ: **, ==, ...).
5. Tuyệt đối tuân thủ yêu cầu không có lời giải hoặc hướng dẫn cho câu trả lời.
6. Không xuống dòng hai lần, và không cung cấp bất kỳ nội dung nào ngoài yêu cầu.
ASSISTANT
Thiết bị số thông minh, thường được biết đến là smartphone, đã trở thành một phần không thể thiếu trong cuộc sống hiện đại nhờ vào sự tích hợp của nhiều tính năng công nghệ cao. Chúng không chỉ thực hiện các chức năng cơ bản như thực hiện cuộc gọi và gửi tin nhắn, mà còn cung cấp khả năng kết nối internet, cho phép người dùng duyệt web, sử dụng mạng xã hội và xem video trực tuyến một cách dễ dàng. Ngoài ra, phần lớn các thiết bị này còn được trang bị máy ảnh kỹ thuật số chất lượng cao, cho phép chụp ảnh và quay video với độ phân giải lớn. Chức năng đo huyết áp và theo dõi sức khỏe cũng là một phần của các tiện ích mở rộng trên nhiều thiết bị hiện đại, nhờ vào sự phát triển của cảm biến và công nghệ y tế di động. Thêm vào đó, các ứng dụng email giúp việc soạn và gửi thư trở nên thuận tiện và nhanh chóng. Đặc biệt, những thiết bị này ngày càng trở nên hiệu quả hơn với khả năng xử lý đa nhiệm nhờ vào sự tiến bộ vượt bậc của vi xử lý và hệ điều hành tích hợp. Hơn nữa, chúng còn có khả năng ghi âm, phát nhạc và thực hiện các tác vụ văn phòng cơ bản thông qua sự hỗ trợ của vô số ứng dụng tiện ích có thể tải về từ các cửa hàng trực tuyến. Các tính năng này đã biến thiết bị số thông minh thành công cụ không thể thiếu cho việc duy trì kết nối và quản lý công việc hàng ngày.

turns-00048.parquet:31341

79cc6e12665804a6091d051a
turn 1/1gpt-4o-2024-08-06EnglishUnited States2160 words
degenerate_repetitionAbsentFinal dense release
USER
You are a helpful assistant generating synthetic data that captures *System 1* and *System 2* thinking, *creativity*, and *metacognitive reflection*. Follow these steps in sequence, using tags [sys1] and [end sys1] for *System 1* sections and [sys2] and [end sys2] for *System 2* sections.

1. *Identify System 1 and System 2 Thinking Requirements:*
   - Carefully read the text.
   - Identify parts of the text that require quick, straightforward responses (*System 1*). Mark these sections with [sys1] and [end sys1].
   - Identify parts that require in-depth, reflective thinking (*System 2*), marked with [sys2] and [end sys2].

2. *Apply Step-by-Step Problem Solving with Creativity and Metacognitive Reflection for System 2 Sections:*

   *2.1 Understand the Problem:*
   - Objective: Fully comprehend the issue, constraints, and relevant context.
   - Reflection: "What do I understand about this issue? What might I be overlooking?"
   - Creative Perspective: Seek hidden patterns or possibilities that could reveal deeper insights or innovative connections.

   *2.2 Analyze the Information:*
   - Objective: Break down the problem logically.
   - Reflection: "Am I considering all factors? Are there any assumptions that need challenging?"
   - Creative Perspective: Explore unique patterns or overlooked relationships in the data that could add depth to the analysis.

   *2.3 Generate Hypotheses:*
   - Objective: Propose at least 10 hypotheses, each with a Confidence Score (0.0 to 1.0) and Creative Score (0.0 to 1.0), reflecting originality, surprise, and utility.
   - Reflection: "Have I explored all possible explanations or approaches, both conventional and unconventional?"
   - Creative Perspective: Consider novel angles that might provide unexpected insights.

   *2.4 Anticipate Future Steps and Obstacles:*
   - Objective: Make predictions, accounting for potential outcomes and obstacles.
   - Reflection: "What challenges might I face? Is my plan flexible for different scenarios?"
   - Creative Perspective: Visualize unforeseen outcomes and adapt plans to make use of them effectively.

   *2.5 Evaluate Hypotheses:*
   - Objective: Assess hypotheses based on feasibility, risk, and potential impact.
   - Evaluation: Refine Confidence and Creative Scores as needed.
   - Reflection: "Am I unbiased in my assessment? Which options fit best with the overall objectives?"
   - Creative Perspective: Identify hidden opportunities or overlooked details in each hypothesis.

   *2.6 Select the Best Hypothesis:*
   - Objective: Choose the most promising, strategic hypothesis.
   - Reflection: "Why does this hypothesis stand out? How does it uniquely address the issue?"
   - Creative Perspective: Consider any underutilized potential in the selected approach.

   *2.7 Implement the Hypothesis:*
   - Objective: Outline actionable steps for testing the hypothesis.
   - Reflection: "Is this plan practical? What resources or preparation are required?"
   - Creative Perspective: Refine steps to maximize effectiveness and yield unexpected benefits.

   *2.8 Monitor and Review Progress:*
   - Objective: Review progress, noting areas for improvement.
   - Reflection: "What’s working well? What could be improved?"
   - Creative Perspective: Look for emerging patterns that could refine future approaches.

   *2.9 Reflect and Capture Insights:*
   - Objective: Summarize lessons learned and insights gained for future reference.
   - Reflection: "What new understanding has emerged from this process?"
   - Creative Perspective: Identify innovative insights or patterns that could be applied to similar challenges.

3. *Generate Text Output with Interleaved System 1 and System 2 Responses:*
   - Use the tags [sys1] and [sys2] throughout.
   - Aim for a lengthier, detailed response. Combine both direct, straightforward *System 1* insights and reflective, deeply analytical *System 2* segments to capture a blend of quick observations and thoughtful analysis.

---

### *Example Input Text:*

You are tasked with analyzing a sudden shift in customer preferences in a tech market. There has been a noticeable decline in demand for physical devices, with customers increasingly interested in digital-only options. The challenge is to understand this shift, generate hypotheses for why it might be occurring, and explore potential strategies for adapting to this new trend.

---

### *Processed Output with System 1 and System 2 Thinking:*

The tech market is experiencing a shift in customer demand, moving away from physical devices toward digital-only options.

[sys1]
Customer demand has shifted from physical devices to digital-only options.
We need to understand why this change is happening and find strategies to address it.
Key factors may include cost, convenience, and technological trends.
[end sys1]

[sys2]
**2.1 Understand the Problem:**
The goal is to understand the underlying reasons for the shift in demand from physical devices to digital-only options, then develop a strategy to adapt.

*Reflection:* 
"I understand that preferences are changing, but what might be driving this? Is it primarily cost, or are there other factors such as convenience or sustainability?"

*Creative Perspective:* 
"Could there be a larger trend in digital minimalism or a preference for eco-friendly solutions that we’re missing? What unseen motivations might explain this shift?"

**2.2 Analyze the Information:**
There are multiple possible factors driving this shift, from economic influences to cultural shifts. It’s essential to isolate each factor and understand its impact.

*Reflection:* 
"Am I fully considering the various economic and social influences? Could there be a technological factor, like better internet speeds, that makes digital-only products more accessible?"

*Creative Perspective:* 
"Are there patterns or trends in other markets that could shed light on this shift? Could this be part of a larger trend toward virtual experiences?"

**2.3 Generate Hypotheses:**
1. Customers prefer digital options due to lower costs. (Confidence: 0.8, Creative: 0.4)
2. There’s a growing trend toward minimalism and reduced physical clutter. (Confidence: 0.7, Creative: 0.7)
3. Digital products offer greater flexibility and ease of use. (Confidence: 0.6, Creative: 0.6)
4. Environmental concerns are pushing consumers away from physical goods. (Confidence: 0.6, Creative: 0.8)
5. Advances in tech make digital-only options more functional. (Confidence: 0.8, Creative: 0.5)
6. Pandemic-era remote work increased demand for digital solutions. (Confidence: 0.7, Creative: 0.6)
7. Media coverage of the environmental impact of physical devices affects preferences. (Confidence: 0.5, Creative: 0.7)
8. There’s an increase in global digital literacy, expanding market access. (Confidence: 0.6, Creative: 0.6)
9. Customers view digital as more convenient and scalable for future needs. (Confidence: 0.7, Creative: 0.5)
10. Younger consumers prefer the aesthetics and convenience of digital products. (Confidence: 0.6, Creative: 0.6)

*Reflection:* 
"Have I considered all possible influences? Are there any surprising factors that could explain this shift?"

*Creative Perspective:* 
"Could specific social trends, like the rise of influencer culture or digital-first lifestyles, be influencing customer choices?"

**2.4 Anticipate Future Steps and Obstacles:**
*Objective:* Anticipate possible challenges, such as resistance from segments still preferring physical products.

*Reflection:* 
"What market obstacles might we face if we shift our focus to digital-only? Are there sub-segments that still prioritize physical products?"

*Creative Perspective:* 
"Could expanding digital options help us reach a more global audience? Are there emerging trends that we could leverage in our strategy?"

[end sys2]

[sys1]
To address this shift, consider a strategy that incorporates both digital-only offerings and educational campaigns about the benefits of digital solutions.
Use insights from customer feedback and current trends to guide product development.
Focus on flexibility and adaptation to cater to different customer segments.
[end sys1]


Mayor Rob Ford has brushed aside a Star-Angus Reid poll showing Torontonians don’t trust him on transit issues, telling reporters: “I don’t listen to polls.”

But moments later Ford cited “every poll you see” as proof that Torontonians are clamouring for the construction of new subways, not surface light rail transit.

The Star poll asked 801 Torontonians last Thursday and Friday: “All things considered, which transit solution do you think would make the most sense for the City of Toronto to pursue?”

Some 52 per cent said “expanding the subway system” while 48 per cent said: “Building/expanding a light rail transit system.” A majority don’t favour road tolls or other fees to fund the pricier subways.

Asked specifically about their trust in Ford to handle transit/commuter issues, 51 per cent said they have “no trust at all,” compared with 45 per cent with some level of trust.

Even a majority of subway proponents don’t trust Ford to handle the issue, according to the online poll that has a margin of error of 3.5 per cent 19 times out of 20.

When asked after his Monday morning “Cut the Waist” weigh-in if he might not be the best cheerleader for the subway cause, Ford said tersely: “I don’t listen to polls. The only one that matters is on election day.”

But moments later, asked about the province’s demands that the City of Toronto present a unified front on transit expansion, rather than the mayor backing subways and the council backing LRTs, Ford said: “Every poll you see is 70 to 80 per cent (people) want subways, so if (Premier Dalton McGuinty) wants to cater to the 30 per cent, I don’t see him winning many seats at 30 per cent.”

A mid-February poll by Toronto-based Forum Research found 57 per cent of Torontonians favoured subway-based transit expansion compared to 38 per cent for LRTs.

However, that poll framed Ford’s plan as including a busway on Finch Ave. W. plus a Sheppard Ave. subway expansion, neither of which is currently funded by the city or the province.

Ford is adamant that the $8.4 billion in available provincial funding be used to bury virtually all of the Eglinton-Scarborough Crosstown line, with any surplus used to jump-start a primarily privately funded Sheppard expansion.

But council essentially revived the former Transit City plan, which would bring the Eglinton line above ground east of Laird Ave. and build a surface LRT on Finch. A panel is to make suggestions for Sheppard by March 21.

A sullen-looking Ford warned before his weekly weigh-in that he had “a bad week” diet-wise.

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He tipped the scale at 310 pounds, up from 308 last week. Ford launched his “Cut the Waist” challenge on Jan. 16 at 330 pounds, vowing to drop 50 pounds by June 18.

His brother, Councillor Doug Ford, lost two pounds in the past week, tipping the scale at 250. He started the challenge at 275 pounds and hopes to slim down to 225.
ASSISTANT
The article discusses Mayor Rob Ford's stance on transit issues in Toronto, highlighting a poll on Torontonians' preferences for transit solutions and Ford's contradictory response to poll results.

[sys1]
Torontonians are divided on transit solutions: 52% favor subways, while 48% prefer light rail.
Ford dismisses polls about his trustworthiness yet cites them to support his subway advocacy.
There is tension between Ford's preference for subways and council's support for light rail transit (LRT).
[end sys1]

[sys2]
**2.1 Understand the Problem:**
The central issue involves a mismatch between the Mayor's transit plans and public trust, along with conflicting preferences for subway versus LRT expansion. 

*Reflection:* 
"I understand that public opinion is divided, and trust in leadership is low. What might be driving these trust issues? Is it the perceived feasibility of projects or past performance?"

*Creative Perspective:* 
"Are there unrecognized factors, like political motivations or resource allocations, affecting these preferences? How do past projects impact current perceptions?"

**2.2 Analyze the Information:**
Multiple factions influence public transit opinions; while subways have popular support, funding and feasibility play critical roles. Polls indicate a lack of trust in Ford, despite his focus on subways.

*Reflection:* 
"Am I considering all socio-economic and political variables that influence public opinion? Are there insights from demographic data that could illuminate preferences?"

*Creative Perspective:* 
"Is there a historical pattern of infrastructure underdelivery affecting trust? Could shifts in urban development strategies reveal public priorities?"

**2.3 Generate Hypotheses:**
1. Public favours subway expansion due to perceived long-term value. (Confidence: 0.8, Creative: 0.5)
2. Trust issues stem from previous unmet promises or project failures. (Confidence: 0.7, Creative: 0.6)
3. Ford’s communication style or policies contribute to public mistrust. (Confidence: 0.6, Creative: 0.6)
4. Subways are seen as a more practical solution for dense urban areas. (Confidence: 0.7, Creative: 0.5)
5. Political biases in media coverage affect public perceptions. (Confidence: 0.5, Creative: 0.7)
6. LRT advocates highlight cost-efficiency and environmental benefits. (Confidence: 0.6, Creative: 0.6)
7. Ford’s weight-loss challenge reflects attempts to improve public image amidst controversies. (Confidence: 0.4, Creative: 0.8)
8. Diverging priorities between provincial and city government affect consensus. (Confidence: 0.8, Creative: 0.5)
9. Economic constraints make LRTs more appealing for cost-conscious segments. (Confidence: 0.5, Creative: 0.6)
10. Residents are influenced by global trends in sustainable urban mobility. (Confidence: 0.6, Creative: 0.7)

*Reflection:* 
"Are there overlooked motivators for each demographic group? How might individual biases shape public debate?"

*Creative Perspective:* 
"Could personas or narratives illustrating transit struggles sway opinions? Are there cultural shifts toward transparency or efficacy in governance?"

**2.4 Anticipate Future Steps and Obstacles:**
*Objective:* Predict challenges in achieving alignment between city and provincial transit plans.

*Reflection:* 
"What political or budgetary barriers could hinder transit progress? How might demographic or cultural changes affect priorities?"

*Creative Perspective:* 
"Can innovative funding models or public-private partnerships provide solutions to financial constraints? Could a public engagement campaign shift perceptions?"

[end sys2]

[sys1]
To build trust and consensus, consider transparent dialogue about transit funding, coupled with factual assessments of subway and LRT benefits.
Focus on data-driven planning and involve community stakeholders to align city objectives with public needs.
[end sys1]