Respan Dataset Explorer

На предприятии каждой изготовленной детали присваивается серийный номер, содержащий десятичные цифры и символы из 2030-символьного специального алфавита. В базе данных для хранения каждого серийного номера отведено одинаковое и минимально возможное число байт. При этом используется посимвольное кодирование, все символы кодируются одинаковым и минимально возможным числом бит. Известно, что для хранения 318 серийных номеров отведено более 67 Кбайт памяти. Определите минимально возможную длину серийного номера. В ответе запишите только целое число.

Минимально возможная длина серийного номера составляет **157** символов.

**Объяснение:**

1. **Определение размера алфавита:**
   - Десятичные цифры: 10 символов.
   - Специальный алфавит: 2030 символов.
   - Итого: 10 + 2030 = 2040 символов.

2. **Кодирование символов:**
   - Для кодирования 2040 символов требуется минимум 11 бит на символ (так как \(2^{11} = 2048 > 2040\)).

3. **Вычисление памяти для одного серийного номера:**
   - Пусть длина номера \(L\).
   - Общее количество бит: \(11L\).
   - Общее количество байт: \(\lceil \frac{11L}{8} \rceil\).

4. **Определение минимальной длины \(L\):**
   - Общее количество памяти для 318 номеров должно быть больше 67 КБ (\(67 \times 1024 = 68608\) байт).
   - Необходимо, чтобы \(318 \times \lceil \frac{11L}{8} \rceil > 68608\).
   - Решая неравенство, получаем \(L \geq 157\).

Таким образом, минимальная длина серийного номера, удовлетворяющая условию, равна **157**.

**Ответ:**  
157

Compose a concise, engaging cold email announcing that the domain name LocksmithNorthLasvegas.com
. Use a clear, NLP-friendly format, focusing on a straightforward subject-verb-object order. Prioritize NLP readability (60%) while maintaining reader engagement (40%) with accessible, precise language free from filler phrases. Emphasize the value of the domain using loss aversion theory to highlight what potential buyers might miss if they don't act quickly. Ensure the email is brief, professional, and avoids any spammy language, making it easy to read and valuable to the recipient.

**Subject:** Acquire LocksmithNorthLasvegas.com Today

---

**Hi [Name],**

Elevate your locksmith business with **LocksmithNorthLasvegas.com**. This premium domain boosts your online visibility and attracts local clients.

Don’t let competitors claim this valuable asset. Secure it now to grow your presence in North Las Vegas.

Interested? Reply to this email, and we can discuss the details.

**Best regards,**

[Your Name]  
[Your Contact Information]

WPF приложение для управления заказами на установку программного обеспечения с аутентификацией пользователей, модераторов и администраторов создай БД на языке ssms

Для создания базы данных (БД) с функциональностью для управления заказами на установку программного обеспечения с различными уровнями доступа (пользователи, модераторы, администраторы), можно использовать Microsoft SQL Server Management Studio (SSMS) и язык SQL для определения структуры вашей БД.

Ниже приведён пример структуры БД и SQL-кода для создания таблиц, ролей и связи между ними:

```sql
-- Создание базы данных
CREATE DATABASE SoftwareInstallationOrders;
GO

USE SoftwareInstallationOrders;
GO

-- Таблица пользователей
CREATE TABLE Users (
    UserID INT PRIMARY KEY IDENTITY,
    Username NVARCHAR(50) NOT NULL UNIQUE,
    PasswordHash NVARCHAR(256) NOT NULL,
    Email NVARCHAR(100),
    RoleID INT NOT NULL
);
GO

-- Таблица ролей
CREATE TABLE Roles (
    RoleID INT PRIMARY KEY IDENTITY,
    RoleName NVARCHAR(50) NOT NULL UNIQUE
);
GO

-- Заполнение таблицы ролей
INSERT INTO Roles (RoleName) VALUES ('User');
INSERT INTO Roles (RoleName) VALUES ('Moderator');
INSERT INTO Roles (RoleName) VALUES ('Admin');
GO

-- Таблица заказов
CREATE TABLE Orders (
    OrderID INT PRIMARY KEY IDENTITY,
    UserID INT NOT NULL,
    SoftwareName NVARCHAR(100) NOT NULL,
    InstallationDate DATETIME,
    Status NVARCHAR(50) NOT NULL,
    FOREIGN KEY (UserID) REFERENCES Users(UserID)
);
GO

-- Таблица статусов заказов
CREATE TABLE OrderStatus (
    StatusID INT PRIMARY KEY IDENTITY,
    StatusName NVARCHAR(50) NOT NULL UNIQUE
);
GO

-- Заполнение таблицы статусов
INSERT INTO OrderStatus (StatusName) VALUES ('Pending');
INSERT INTO OrderStatus (StatusName) VALUES ('In Progress');
INSERT INTO OrderStatus (StatusName) VALUES ('Completed');
INSERT INTO OrderStatus (StatusName) VALUES ('Cancelled');
GO

-- Связь таблицы заказов с таблицей статусов
ALTER TABLE Orders
ADD FOREIGN KEY (Status)
REFERENCES OrderStatus (StatusName);
GO

-- Пример заполнения пользователей
INSERT INTO Users (Username, PasswordHash, Email, RoleID) VALUES 
('user1', 'hashed_password1', 'user1@example.com', 1),
('moderator1', 'hashed_password2', 'mod1@example.com', 2),
('admin1', 'hashed_password3', 'admin1@example.com', 3);
GO
```

### Пояснения:

1. **Users**: Содержит учетные данные пользователей и их роли.
2. **Roles**: Определяет доступные роли в системе (User, Moderator, Admin).
3. **Orders**: Хранит информацию о заказах на установку программного обеспечения.
4. **OrderStatus**: Определяет возможные статусы заказов.
5. **Связи**: Установлены внешние ключи для связи между таблицами: заказы с пользователями и статусы с заказами.

### Следующие шаги:

- **Аутентификация**: При разработке WPF приложения используйте хеширование для паролей и обеспечьте безопасность данных.
- **Логика доступа**: В приложении WPF реализуйте логику проверки ролей для предоставления определённых прав доступа в зависимости от роли (пользователь, модератор, администратор).
- **UI**: Создайте интерфейс пользователя, интерфейс для модератора для управления заказами и интерфейс администратора для управления пользователями и ролями.

Эта структура позволяет организовать управление заказами с различными уровнями доступа в вашем приложении.

You are a database expert and SQL optimizer. You will be given a SQL query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence. Your task is to create a new pair of original and rewritten queries that invoke a similar rewrite.

[ORIGINAL QUERY]```select promotions,total,cast(promotions as decimal(15,4))/cast(total as decimal(15,4))*100 from (select sum(ss_ext_sales_price) promotions from store_sales ,store ,promotion ,date_dim ,customer ,customer_address ,item where ss_sold_date_sk = d_date_sk and ss_store_sk = s_store_sk and ss_promo_sk = p_promo_sk and ss_customer_sk= c_customer_sk and ca_address_sk = c_current_addr_sk and ss_item_sk = i_item_sk and ca_gmt_offset = -7 and i_category = 'Home' and (p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y') and s_gmt_offset = -7 and d_year = 2000 and d_moy = 12) promotional_sales, (select sum(ss_ext_sales_price) total from store_sales ,store ,date_dim ,customer ,customer_address ,item where ss_sold_date_sk = d_date_sk and ss_store_sk = s_store_sk and ss_customer_sk= c_customer_sk and ca_address_sk = c_current_addr_sk and ss_item_sk = i_item_sk and ca_gmt_offset = -7 and i_category = 'Home' and s_gmt_offset = -7 and d_year = 2000 and d_moy = 12) all_sales order by promotions, total limit 100;```

[REWRITTEN QUERY]```select promotions, total, (promotions / total) * 100 as promotion_percentage from ( select sum(case when p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y' then ss_ext_sales_price else 0 end) as promotions, sum(ss_ext_sales_price) as total from store_sales join store on ss_store_sk = s_store_sk join promotion on ss_promo_sk = p_promo_sk join date_dim on ss_sold_date_sk = d_date_sk join customer on ss_customer_sk = c_customer_sk join customer_address on ca_address_sk = c_current_addr_sk join item on ss_item_sk = i_item_sk where ca_gmt_offset = -7 and i_category = 'Home' and s_gmt_offset = -7 and d_year = 2000 and d_moy = 12 ) as sales_data order by promotions, total limit 100;```

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation is similar to the provided demonstration.Keep the following points in mind while creating the new query pair:
1. The original query must contain CTEs.
2. The original query must make use of the following fact tables: ['inventory']. Below is the join graph for these fact tables:
    ['inventory(inv_warehouse_sk) references warehouse(w_warehouse_sk);', 'inventory(inv_item_sk) references item(i_item_sk);', 'inventory(inv_date_sk) references date_dim(d_date_sk);']
4. The original query must employ 2 joins.
5. The original query must employ the following aggregate functions: ['max'].
6. The original query must employ the following operators in its WHERE clause: ['min', 'max', 'count'].
7. The rewritten query must be equivalent to the original query, and must follow a similar rewrite pattern as in the given example. Enclose the original and rewritten queries within ``` and ```.

Sure, here's a new pair of original and rewritten SQL queries following the specified requirements and rewrite pattern:

[ORIGINAL QUERY]
```sql
with item_inventory as (
    select i_item_id, max(inv_quantity_on_hand) as max_quantity
    from inventory
    join item on inv_item_sk = i_item_sk
    where inv_quantity_on_hand > (select min(inv_quantity_on_hand) from inventory) 
    group by i_item_id
),
warehouse_inventory as (
    select w_warehouse_id, max(inv_quantity_on_hand) as max_quantity
    from inventory
    join warehouse on inv_warehouse_sk = w_warehouse_sk
    where inv_quantity_on_hand > (select min(inv_quantity_on_hand) from inventory)
    group by w_warehouse_id
)
select i.item_id, ii.max_quantity, count(*) as item_count
from item_inventory ii 
join item i on ii.i_item_id = i.i_item_id
join warehouse_inventory wi on ii.max_quantity = wi.max_quantity
group by i.item_id, ii.max_quantity
order by ii.max_quantity desc
limit 100;
```

[REWRITTEN QUERY]
```sql
select i.item_id, 
       max(case when inv_quantity_on_hand > (select min(inv_quantity_on_hand) from inventory) then inv_quantity_on_hand else null end) as max_quantity,
       count(*) as item_count
from inventory
join item i on inv_item_sk = i.i_item_sk
join warehouse w on inv_warehouse_sk = w.w_warehouse_sk
where inv_quantity_on_hand > (select min(inv_quantity_on_hand) from inventory)
group by i.item_id
order by max_quantity desc
limit 100;
```

### Explanation:

- **CTEs Usage**: The original query makes use of CTEs (Common Table Expressions) to first calculate the maximum inventory quantity per `item_id` and `warehouse_id`, and then joins these results.

- **Rewritten Query**: Similar to the provided example rewrite, this query removes the CTEs and consolidates the logic into a simplified case statement, while maintaining logical equivalence.

- **Equivalent Logic**: Both queries are designed to determine the maximum inventory on hand, using conditions similar in operation structure (min/max/count criteria), aggregated per `item_id`.

- **Aggregate and Conditions**: Maintains aggregation using `max` and conditions in the WHERE clause with `min`, as specified.

The new query pair maintains the performance-improving logic seen in your sample, reducing the number of necessary subqueries at runtime and optimizing the overall execution by using CASE expressions appropriately.

Предположим, что нужно хранить данные об ассортименте нескольких продавцов, торгующих продукцией нескольких фирм (номенклатура товаров фирм может пересекаться). При этом продавец не имеет право торговать какими угодно товарами каких угодно фирм:
Отношение ПРОДАВЕЦ_ФИРМА_ТОВАР
Продавец	Фирма	Товар
Иванов	Яблоко	Наушники
Иванов	Яблоко	Телефон
Петров	Дом	Пылесос
Петров	Дом	Умная лампочка
Петров	Дом	Микроволновка
Сидоров	Дом	Пылесос
Сидоров	Яблоко	Умная лампочка
Сидоров	Яблоко	Пылесос
Сидоров	Смарт	Кресло
Для данного отношения, находящегося в 4НФ, укажи:
- атрибуты исходного отношения.
-зависимости, которые имеют место между атрибутами исходного отношения.
-потенциальный ключ исходного отношения.
-детерминанты функциональных зависимостей исходного отношения.

**Атрибуты исходного отношения:**

- Продавец
- Фирма
- Товар

**Зависимости между атрибутами:**

В данном отношении нет нетривиальных функциональных или многозначных зависимостей между атрибутами, кроме тривиальных зависимостей, определяемых потенциальным ключом. Каждый атрибут может принимать различные значения независимо от других атрибутов, если не учитывать комбинацию всех трех атрибутов вместе.

**Потенциальный ключ исходного отношения:**

- Составной ключ из атрибутов: **(Продавец, Фирма, Товар)**

Эта комбинация атрибутов уникально идентифицирует каждую запись в отношении. Ни одна пара из двух атрибутов не может служить ключом, так как они не гарантируют уникальность записи.

**Детерминанты функциональных зависимостей:**

- **(Продавец, Фирма, Товар)** являются детерминантом для всех атрибутов в отношении (то есть определяют сами себя), что соответствует тривиальной функциональной зависимости:

  \[
  (\text{Продавец}, \text{Фирма}, \text{Товар}) \rightarrow (\text{Продавец}, \text{Фирма}, \text{Товар})
  \]

Так как нет других нетривиальных функциональных зависимостей, детерминантами являются только все три атрибута вместе.

Перепишите на русском языке предоставленный текст, сохраняя его общий смысл и структуру, но используя: Разнообразную лексику, Перефразирование и переформулирование предложений, Изменение порядка слов и структуры предложений, Улучшение читабельности и удобочитаемости, Сохранение точности и ясности исходного текста. Дополнительные указания: Избегайте использования плагиата или перефразирования с помощью синонимайзеров, Стремитесь к созданию уникального и оригинального текста, который не будет идентичен исходному, Ни одно предложение из созданного вами не должно точь-в-точь повторять исходное, уберите из текста весь мусор вроде ссылок, сносок, указания авторов. Разбей текст на абзацы, используй markdown. Заголовок для текста придумывать не нужно. Вот сам текст: 
В Самаре школьников эвакуировали после анонимных звонков о минировании. Учеников и сотрудников ряда школ Самары эвакуировали во вторник после анонимных звонков о "минировании" зданий, закрывалась на проверку одна станция метро, сообщили в мэрии. Во вторник, 12 ноября, после 13:00, в соцсетях появились сообщения об эвакуации в школах. «Администрации школ незамедлительно оповестили экстренные службы». В пресс-службе со ссылкой на информацию муниципального предприятия "Самарский метрополитен" отметили, что на проверку закрывалась станция метро "Гагаринская".

В Самаре прошла эвакуация школьников из-за анонимных звонков о заложенной взрывчатке. Во вторник в Самаре учеников и сотрудников нескольких школ вывели из зданий после того, как поступили анонимные звонки об угрозе взрыва. По этой же причине временно прекратила работу одна из станций метро, как сообщили в мэрии.

Эти события произошли 12 ноября после 13:00, когда в социальных сетях начали появляться сообщения об эвакуации. Школьные администрации оперативно связались с экстренными службами для принятия необходимых мер.

Как заявили в пресс-службе, ссылаясь на данные от муниципального предприятия "Самарский метрополитен", временно была закрыта станция метро "Гагаринская" для проведения проверок.

You are a database expert and SQL optimizer. You will be given a SQL query and its rewritten variant. The rewritten query improves performance upon the original while maintaining equivalence. Your task is to create a new pair of original and rewritten queries that invoke a similar rewrite.

[ORIGINAL QUERY]```select promotions,total,cast(promotions as decimal(15,4))/cast(total as decimal(15,4))*100 from (select sum(ss_ext_sales_price) promotions from store_sales ,store ,promotion ,date_dim ,customer ,customer_address ,item where ss_sold_date_sk = d_date_sk and ss_store_sk = s_store_sk and ss_promo_sk = p_promo_sk and ss_customer_sk= c_customer_sk and ca_address_sk = c_current_addr_sk and ss_item_sk = i_item_sk and ca_gmt_offset = -7 and i_category = 'Home' and (p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y') and s_gmt_offset = -7 and d_year = 2000 and d_moy = 12) promotional_sales, (select sum(ss_ext_sales_price) total from store_sales ,store ,date_dim ,customer ,customer_address ,item where ss_sold_date_sk = d_date_sk and ss_store_sk = s_store_sk and ss_customer_sk= c_customer_sk and ca_address_sk = c_current_addr_sk and ss_item_sk = i_item_sk and ca_gmt_offset = -7 and i_category = 'Home' and s_gmt_offset = -7 and d_year = 2000 and d_moy = 12) all_sales order by promotions, total limit 100;```

[REWRITTEN QUERY]```select promotions, total, (promotions / total) * 100 as promotion_percentage from ( select sum(case when p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y' then ss_ext_sales_price else 0 end) as promotions, sum(ss_ext_sales_price) as total from store_sales join store on ss_store_sk = s_store_sk join promotion on ss_promo_sk = p_promo_sk join date_dim on ss_sold_date_sk = d_date_sk join customer on ss_customer_sk = c_customer_sk join customer_address on ca_address_sk = c_current_addr_sk join item on ss_item_sk = i_item_sk where ca_gmt_offset = -7 and i_category = 'Home' and s_gmt_offset = -7 and d_year = 2000 and d_moy = 12 ) as sales_data order by promotions, total limit 100;```

Now, consider the TPC-DS schema and create a new original and equivalent rewritten query pair such that the rewrite operation is similar to the provided demonstration.Keep the following points in mind while creating the new query pair:
1. The original query must not have any CTEs.
2. The original query must make use of the following fact tables: ['web_sales']. Below is the join graph for these fact tables:
    ['web_sales(ws_bill_cdemo_sk) references customer_demographics(cd_demo_sk);', 'web_sales(ws_ship_customer_sk) references customer(c_customer_sk);', 'web_sales(ws_web_page_sk) references web_page(wp_web_page_sk);']
4. The original query must employ 2 joins.
5. The original query must employ the following aggregate functions: ['avg', 'max', 'min'].
6. The original query must employ the following operators in its WHERE clause: ['count'].
7. The rewritten query must be equivalent to the original query, and must follow a similar rewrite pattern as in the given example. Enclose the original and rewritten queries within ``` and ```.

Certainly! Here's a new pair of original and rewritten SQL queries following the specified conditions and mirroring the optimization approach from the example:

[ORIGINAL QUERY]
```sql
select 
    min_age,
    max_income,
    avg(ws_net_profit) as avg_net_profit
from 
    (select avg(cd_age) as avg_age, 
            max(cd_income_band_id) as max_income 
     from web_sales, customer_demographics, customer 
     where ws_bill_cdemo_sk = cd_demo_sk 
       and ws_ship_customer_sk = c_customer_sk 
       and c_birth_year > 1980 
     group by ws_ship_customer_sk 
     having count(*) > 5) age_income_data,
    (select min(c_current_cdemo_sk) as min_age 
     from web_sales, customer_demographics, customer 
     where ws_bill_cdemo_sk = cd_demo_sk 
       and ws_ship_customer_sk = c_customer_sk 
     group by ws_ship_customer_sk 
     having count(*) > 5) min_age_data
order by min_age, max_income
limit 50;
```

[REWRITTEN QUERY]
```sql
select 
    min(cd_age) as min_age,
    max(cd_income_band_id) as max_income,
    avg(ws_net_profit) as avg_net_profit
from 
    web_sales 
    join customer_demographics on ws_bill_cdemo_sk = cd_demo_sk 
    join customer on ws_ship_customer_sk = c_customer_sk 
where 
    c_birth_year > 1980 
group by 
    ws_ship_customer_sk
having 
    count(*) > 5
order by 
    min_age, max_income
limit 50;
```

### Explanation
- **Original Query**: This divides the task into two subqueries: one calculates the average age and maximum income band of customers who purchased products, and the other finds the minimum age. Both subqueries operate under a specific group and filter criteria.
  
- **Rewritten Query**: The rewritten version combines the logic into a single query using SQL's aggregate functions. The WHERE clause includes conditions specified in the original version but applies them to the main query grouping and aggregation logic. This reduction from multiple subqueries to a unified query helps in reducing redundant computations and improves query performance, similar to the approach in the example.

Привет! Ты — отличник, знающий ответы на любые задания. Реши задание с платформы ЯКласс. Ознакомься с приведенным текстом задания: ['Найди числовой промежуток, которому соответствует неравенство:\n\xa0\n−72x+40\nx\n2\n≥−32.\n\n\xa0\n(Для обозначения чисел используй десятичные дроби. Для других символов (скобки и прочие)\xa0выделено место,\xa0перенеси их в соответствующие поля.)\n\xa0\nОтвет: \nx∈\n\xa0\n;;\n.\nВарианты ответов:\n∪\n(\n+∞\n−∞\n]\n)\n[']. Ответи строго на русском языке, не превышая 1900 символов. Если есть варианты ответов, выбирай только из них, не выходя за их рамки. Используй интернет для подтверждения информации. Не используй Latex и mathjax принаписании математических формул пиши все в одну строку используя utf-8 символы для степеней и т. д..Помни, что твои ответы должны основываться только на знаниях и фактах.

Давайте решим неравенство: 

-72x + 40 / x² ≥ -32.

1. Преобразуем неравенство, чтобы избавиться от дроби:

-72x + 40 ≥ -32x².

2. Перенесем всё в одну сторону и упростим:

32x² - 72x + 40 ≥ 0.

3. Решим квадратное неравенство. Для этого сначала найдем корни соответствующего квадратного уравнения:

32x² - 72x + 40 = 0.

4. Можно применить дискриминант (D):

D = b² - 4ac = (-72)² - 4 × 32 × 40 = 5184 - 5120 = 64.

5. Найдем корни x1 и x2:

x1,2 = (72 ± √64) / (2 × 32).

x1 = (72 + 8) / 64 = 80 / 64 = 1.25.

x2 = (72 - 8) / 64 = 64 / 64 = 1.

6. Теперь, определим знаки квадратичной функции на числовой прямой, используя корни 1 и 1.25. У нас будет три промежутка: (-∞, 1), (1, 1.25), и (1.25, ∞).

7. Подставляя значения из каждого из промежутков обратно в неравенство, определяем знак:

- На промежутке (-∞, 1), функция положительна.
- На промежутке (1, 1.25), функция отрицательна.
- На промежутке (1.25, ∞), функция положительна.

8. Поскольку у нас неравенство с неравенством ≥, включаем точки, где функция равна нулю:

Ответ: x ∈ (-∞, 1] ∪ [1.25, +∞).

System: You are an expert Named Entity Recognition (NER) system. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Answer in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...

Here is an Example : 
Input: 
Lawmakers continue to try to police social media use among teens — but Meta, parent company to Facebook, Instagram, and Threads, is pushing another group of companies to do the security work. Meta is expected to announce a proposal on Nov. 15 that will push for tech giants like Google and Apple to carry a bigger burden in keeping teenagers off of potentially harmful platforms. Meta's vision is that these companies, which manage app stores such as the Apple App Store and Google Play Store, require parental approval for teenagers aged 13 to 15 to download applications, according to a report by The Washington Post.

Output:
Lawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments.  
social media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.
Meta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors.  
Facebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets.  
Instagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement.  
Threads | Company | Social media platform owned by Meta, contributing to the digital communication landscape.  
Nov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. 
tech giants | Major Companies | Entities that hold substantial market power in the technology sector. 
Google | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution.  
Apple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution.  
bigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company’s operations, often resulting in resource strain or inefficiencies.
Apple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics.  
Google Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics.  
Parental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage.  
The Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.
User: KEY POINTS: The Federal Reserve raised interest rates for the first time since 2018 to combat surging prices. This may affect retirees since market interest rates and bond prices typically move in opposite directions. Bonds with a shorter duration are less sensitive to rate changes and may offer some protection. Bond investors are watching as the Federal Reserve raises interest rates for the first time since 2018 to combat surging prices. Annual inflation rose by 7.9% in February , a new 40-year high, affecting everyday costs like groceries, housing and gasoline. The central bank's quarter-point increase on Wednesday may set the stage for future hikes, impacting retiree portfolios since market interest rates and bond prices typically move in opposite directions, known as interest rate risk. More from Personal
Assistant:

The Federal Reserve | Central Bank | The central bank of the United States, responsible for monetary policy and financial stability.
interest rates | Economic Indicator | The cost of borrowing money, influenced by central banks and affecting economic activity.
2018 | Year | A specific timeframe relevant to financial events and policy changes.
retirees | Demographic Group | Individuals who have stopped working and are often reliant on fixed-income investments.
market interest rates | Financial Metric | Interest rates determined by supply and demand in the financial markets, affecting investment returns.
bond prices | Financial Asset Value | The market value of bonds, which inversely relate to interest rate movements.
bonds | Financial Instrument | Debt securities that pay interest to investors, susceptible to interest rate changes.
shorter duration | Investment Attribute | A characteristic of bonds indicating time sensitivity to interest rate changes, influencing risk and return.
Bond investors | Investor Group | Individuals or entities that invest in bonds, often impacted by interest rate fluctuations.
Annual inflation | Economic Indicator | The rate at which the general level of prices for goods and services rises annually, impacting purchasing power.
7.9% | Inflation Rate | A specific measure of inflation indicating rapid price increases.
February | Month | A specific period within the year relevant to economic reporting.
40-year high | Historical Benchmark | A record or comparison point indicating an exceptional data level not seen in decades.
groceries | Consumer Goods | Everyday products purchased by consumers, categorized under essential expenses.
housing | Sector | Area concerning the development, sale, and regulation of residential and commercial properties.
gasoline | Commodity | A traded product used as fuel for vehicles, affected by inflation and market dynamics.
central bank's quarter-point increase | Monetary Policy Action | A specific measure taken by a central bank to adjust interest rates and influence economic conditions.
Wednesday | Day | A specific day of the week when events or actions take place, impactful in financial markets.
rate changes | Financial Event | Adjustments in interest rates, affecting various economic variables.
interest rate risk | Financial Risk | The potential for investment losses due to changes in interest rates, particularly affecting fixed-income securities.
retiree portfolios | Investment Portfolio | Collection of financial assets and investments held by individuals in retirement, vulnerable to changes in interest and inflation rates.

System: You are an expert Named Entity Recognition (NER) system. Label all identifiable entities, abstract concepts, and meaningful ideas in the provided input text, emphasizing relevance to the financial domain.

Ensure the following:
Label All Meaningful Entities: Identify every meaningful entity related to financial analysis, economic dynamics, or market contexts.
Define New Concepts as Needed: Introduce and define entity types for abstract financial concepts or industry-specific terms not typically found in standard NER tasks.
Provide an Exhaustive Entity List: Include every relevant label mentioned in the input text.

Answer in the following format:
<entity from the text> | <entity concept> | <description of entity group/concept>,
<entity from the text> | <entity concept> | <description of entity group/concept>,
...

Here is an Example : 
Input: 
Lawmakers continue to try to police social media use among teens — but Meta, parent company to Facebook, Instagram, and Threads, is pushing another group of companies to do the security work. Meta is expected to announce a proposal on Nov. 15 that will push for tech giants like Google and Apple to carry a bigger burden in keeping teenagers off of potentially harmful platforms. Meta's vision is that these companies, which manage app stores such as the Apple App Store and Google Play Store, require parental approval for teenagers aged 13 to 15 to download applications, according to a report by The Washington Post.

Output:
Lawmakers | Regulatory agents | Individuals or groups responsible for creating and enacting laws, often influencing economic and regulatory environments.  
social media | Digital Channel | Online media channels for content sharing and user interaction, particularly influential in advertising and consumer engagement.
Meta | Company | Parent company of Facebook, Instagram, and Threads, involved in social media and technology sectors.  
Facebook | Company | Social media platform owned by Meta, significant player in digital advertising and social media markets.  
Instagram | Company | Photo and video sharing social media platform owned by Meta, influential in marketing and consumer engagement.  
Threads | Company | Social media platform owned by Meta, contributing to the digital communication landscape.  
Nov. 15 | Date | Specific date relevant for financial or regulatory announcements, potentially impacting market perceptions. 
tech giants | Major Companies | Entities that hold substantial market power in the technology sector. 
Google | Company | Technology company known for its search engine and digital services, significant in advertising and app distribution.  
Apple | Company | Technology company known for its hardware and software products, influential in consumer technology and app distribution.  
bigger burden | Operational Challenge | heightened difficulties or obstacles impacting a company’s operations, often resulting in resource strain or inefficiencies.
Apple App Store | Platform | Digital distribution platform for applications on Apple devices, relevant for app market dynamics.  
Google Play Store | Platform | Digital distribution platform for applications on Android devices, important for app market dynamics.  
Parental approval | Concept | Regulatory measure proposed to manage access to applications by minors, impacting technology and social media usage.  
The Washington Post | Newspaper | News outlet providing reports and analysis, influential in shaping public opinion and regulatory discourse.
User: KEY POINTS: The Federal Reserve raised interest rates for the first time since 2018 to combat surging prices. This may affect retirees since market interest rates and bond prices typically move in opposite directions. Bonds with a shorter duration are less sensitive to rate changes and may offer some protection. Bond investors are watching as the Federal Reserve raises interest rates for the first time since 2018 to combat surging prices. Annual inflation rose by 7.9% in February , a new 40-year high, affecting everyday costs like groceries, housing and gasoline. The central bank's quarter-point increase on Wednesday may set the stage for future hikes, impacting retiree portfolios since market interest rates and bond prices typically move in opposite directions, known as interest rate risk. More from Personal
Assistant:

The Federal Reserve | Central Bank | The governing body that oversees monetary policy in the United States, influential in setting economic conditions and interest rates.  
interest rates | Economic Indicator | The percentage charged on borrowed money, significant in influencing borrowing costs and economic activity.  
2018 | Year | Past year relevant to historical financial and economic events, serving as a reference point for recent policy changes.  
retirees | Demographic Group | Individuals who are typically older and rely on fixed incomes, often impacted by changes in interest rates and inflation.  
market interest rates | Financial Metric | The prevailing rates in the financial markets, often influenced by central bank policies and affecting borrowing costs.  
bond prices | Financial Asset | The cost of purchasing bonds, which can be affected by changes in interest rates, influencing investment returns.  
shorter duration | Bond Feature | A characteristic of bonds indicating a lower sensitivity to interest rate changes, affecting risk and return profiles.  
protection | Financial Strategy | Measures taken to mitigate risk or minimize potential losses in investment portfolios.  
bond investors | Investor Group | Individuals or entities investing in bonds, focusing on debt securities as investment vehicles.  
surging prices | Economic Condition | Rapidly increasing costs of goods and services, often indicative of inflationary pressures.  
inflation | Economic Condition | The rate at which prices for goods and services rise, affecting purchasing power and economic policy.  
7.9% | Percentage | A specific rate indicating the level of annual inflation, significant in economic analysis.  
February | Month | A specific time period in context of financial reporting and economic data release.  
40-year high | Economic Milestone | A significant benchmark indicating an unusual or remarkable economic condition not seen in four decades.  
everyday costs | Consumer Expenses | Routine expenditures for necessities like food, housing, and fuel, impacted by inflationary changes.  
groceries | Essential Goods | Staple food items required by consumers, with costs affected by inflation.  
housing | Essential Living Expense | Residential accommodation expenses, influenced by economic conditions and policy changes.  
gasoline | Essential Commodity | Fuel for vehicles, impacted by economic and geopolitical factors affecting supply and demand.  
central bank's quarter-point increase | Monetary Policy Action | A specific adjustment made by the central bank to influence economic conditions, represented by a 0.25% change.  
future hikes | Prospective Policy Changes | Possible future adjustments in policy rates, anticipated to affect financial markets and economies.  
retiree portfolios | Investment Holdings | Asset collections managed by retired individuals, often focused on preserving wealth and generating income.  
interest rate risk | Financial Risk | The potential for investment losses resulting from changes in interest rates, affecting bond and fixed-income securities.