Respan Dataset Explorer

Sonic x Dragon Ball: Goku uses the chaos emerald

In an exciting crossover between the worlds of Sonic and Dragon Ball, we find Goku on an unexpected adventure. During a training session in an alternate dimension, he stumbles upon one of the legendary Chaos Emeralds.

### Scene: The Dimension of Chaos

**Setting**: A vibrant landscape filled with floating islands, lush greenery, and shimmering waterfalls. Goku stands in a clearing, holding a glowing Chaos Emerald.

**Goku**: (examining the emerald) "Wow, what is this? It feels incredible!"

As Goku channels his energy into the emerald, he feels a surge of power coursing through him. The emerald responds to his Saiyan energy, igniting with a brilliant light.

**Narrator**: "The Chaos Emeralds are magical jewels that can amplify the powers of those who wield them. But will Goku be able to harness their incredible energy?"

### Transformation

Goku closes his eyes, focusing. Suddenly, he notices a change. His hair begins to glow, his aura expands, and an impressive transformation takes place. In this state, he becomes Super Saiyan God Goku, but now with an additional sparkle from the emerald's energy. 

**Goku**: "This power… it’s amazing! I feel faster and stronger than ever!"

### A New Challenge

As Goku trains with the newfound power, it attracts the attention of Sonic and friends, who have been monitoring the chaos in their world. Sonic zooms in, curious about the source of the energy.

**Sonic**: "Whoa! What kind of new training technique is this?"

**Goku**: (turning around with a grin) "Hey there! I found this emerald and it’s given me a boost! Want to see what I can do?"

**Sonic**: "Sure! But I hope you can keep up!"

### Epic Showdown

In a friendly competition, Goku and Sonic face off. They race through the skies, with Goku dashing alongside Sonic, launching energy blasts while Sonic zips around, using his speed to dodge and counter. 

**Narrator**: "As they exchange blows, both heroes discover the limits of their abilities—Sonic’s speed against Goku’s raw power enhanced by the emerald."

Goku blends his martial arts with Sonic's agility, creating a dazzling display of movement that captivates their friends. Tails watches in awe, calculating the energy levels.

**Tails**: "That Chaos Emerald’s energy is really something! Imagine if we harnessed it together!"

### Conclusion

After the friendly match, they all gather. Goku realizes that the Chaos Emerald has not only boosted his abilities but also taught him the value of collaboration and friendship.

**Goku**: "This was a blast, Sonic! We should team up more often!"

**Sonic**: "You got it, Goku! With your power and my speed, we could take on anything!"

As they look at the sunset, the Chaos Emerald sparkles in Goku's hands, signifying the adventure that lies ahead, hinting at the potential for further collaborations between their worlds.

### End Scene

In this delightful crossover, Goku learns to appreciate the strengths of a different kind of hero and the importance of teamwork, while Sonic continues to have fun exploring the limits of his speed alongside a formidable ally.

我想利用AE学习二维动画，请推荐2022年到2024年的优质AE二维动画课程

你好！很高兴你想学习AE（Adobe After Effects）二维动画。下面我为你推荐一些2022年至2023年间的优质课程，这些课程涵盖了从入门到高级的内容，适合不同水平的学习者。

1. **Adobe官方教程**：
   - **Adobe官网**和**YouTube官方频道**提供了大量免费的After Effects教程。这些教程由Adobe专业团队制作，内容全面，更新及时。
   - 网站链接：[Adobe After Effects 教程](https://helpx.adobe.com/cn/after-effects/tutorials.html)

2. **国内在线教育平台**：
   - **腾讯课堂**、**网易云课堂**、**慕课网**等平台上都有专业的AE二维动画课程。
   - **推荐课程**：
     - **《After Effects CC入门到精通》**：适合初学者，从基础操作到高级技巧，涵盖全面。
     - **《AE二维角色动画实战》**：针对有一定基础的学员，深入讲解角色动画的制作流程。

3. **Bilibili（哔哩哔哩）**：
   - B站上有许多优秀的UP主分享AE教程，内容丰富，实用性强。
   - **推荐UP主**：
     - **Yoyo老师**：提供系统的AE教程，适合零基础学习。
     - **江小白**：专注于AE特效和动画，教程生动有趣。

4. **国际在线平台**：
   - **Skillshare**和**Udemy**等平台有大量AE课程，可选择带有中文字幕的课程学习。
   - **推荐课程**：
     - **《The Complete After Effects CC Course from Novice to Expert》**：一门全面的AE课程，涵盖二维动画的方方面面。
     - **《2D Animation with After Effects for Beginners》**：专为初学者设计，教你如何使用AE制作流畅的二维动画。

5. **Domestika**：
   - 这是一个专注于创意领域的在线教育平台，有众多高质量的AE课程。
   - **推荐课程**：
     - **《利用After Effects创建二维动画》**：由经验丰富的动画师授课，带你从概念到完成制作专业的二维动画。

6. **线下培训机构**：
   - 如果你更喜欢线下面授，可以考虑知名的培训机构。
   - **推荐机构**：
     - **火星时代教育**：提供全面的AE课程，有丰富的教学经验。
     - **CGWANG王氏教育**：注重实战教学，课程内容紧跟行业趋势。

**选择课程时的建议**：

- **明确学习目标**：根据你想要掌握的技能，选择对应的课程。例如，想学习角色动画，就选择专门的角色动画课程。
- **查看课程评价**：在报名前，可以看看其他学员的评价和反馈，了解课程质量。
- **关注课程更新**：确保课程内容适用于最新版本的AE软件，以免学习过时的技巧。

希望这些推荐能帮助你找到合适的AE二维动画课程，提升你的技能！如果你还有其他问题，欢迎随时提问。祝你学习愉快！

Может ли курение усугублять неврологию 

Да, курение может усугублять неврологические проблемы. Исследования показывают, что компоненты табачного дыма могут негативно влиять на центральную нервную систему и способствовать развитию или обострению различных неврологических заболеваний. Вот некоторые последствия курения для нервной системы:

1. **Сосудистые нарушения**: Курение увеличивает риск инсульта, так как способствует образованию тромбов и воспалению сосудов, что может нарушать кровоснабжение мозга.

2. **Нейродегенеративные заболевания**: Некоторые исследования связывают курение с повышенным риском развития заболеваний, таких как болезнь Альцгеймера и болезнь Паркинсона.

3. **Влияние на когнитивные функции**: Хроническое употребление никотина и других токсичных веществ из табачного дыма может ухудшать память, внимание и обучение.

4. **Депрессия и тревожность**: Курение может усугублять симптомы депрессии и тревожности, влияя на нейрохимические процессы в мозге.

5. **Ухудшение состояния при рассеянном склерозе**: Есть данные, что курение может ускорять прогрессирование этого заболевания и усиливать его симптомы.

Таким образом, отказ от курения может быть важным шагом для поддержания здоровья нервной системы и предотвращения обострения неврологических заболеваний.

convert to a strategy 

// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © scottclayton22

// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © BackQuant
import TradingView/ta/7	as ta

//@version=5
indicator(
 title="DEMA Adaptive DMI [BackQuant]", 
 shorttitle = "DEMA DMI [BackQuant]",
 overlay=false, 
 timeframe="", 
 timeframe_gaps=true
 )

// Define User Inputs 
const string group1 = "Calculation"
const string group2 = "UI Settings"
simple int       len_dema              = input.int(15, minval=1, title = "DEMA Calculation Period", tooltip = "The DEMA is being used as the source for the DMI Calculation", group = group1 )
simple int       di_len                = input.int(18, minval=1, title = "DI Length", group = group1 )
simple int       adx_smoothing_len     = input.int(18, minval=1, title = "ADX Smoothing Period", group = group1 )
simple bool      showdivergences       = input.bool(false, "Show Detected Divergences?", group = 'DIVERGENCES')
simple int       lbR                   = input.int(title="Pivot Lookback Right", defval=10,group = 'DIVERGENCES', inline = "div")
simple int       lbL                   = input.int(title="Pivot Lookback Left", defval=10,group = 'DIVERGENCES', inline = "div")
simple int       signalLen             = 7
simple bool      showoboslvls          = input.bool(true, "Show Static High and Low Levels (Extreme DMI Thresholds)", group =group2)
simple bool      paintCandles          = input.bool(false, "Color Bars According to Trend?", tooltip = "If DMI > 0 bar will be green and turn to red when it is below 0", group =group2)
simple bool      show_big_ob_os        = input.bool(true, "Show Extreme Value Background Hues?", group =group2)
simple int       ob_trigger            = input.int(30, "Extreme OB (Upper) Thresholds", group = group2)
simple int       os_trigger            = input.int(-30, "Extreme OS (Lower) Thresholds", group = group2)

// DEMA DMI Function
dema_dmi(len_dema, di_len, adx_smoothing_len)=>
	demah = ta.dema(high, len_dema)
	demal = ta.dema(low, len_dema)
	u = ta.change(demah)
	d = -ta.change(demal)
	p = na(u) ? na : (u > d and u > 0 ? u : 0)
	m = na(d) ? na : (d > u and d > 0 ? d : 0)
	t = ta.rma(ta.tr, di_len)
	plus = fixnan(100 * ta.rma(p, di_len) / t)
	minus = fixnan(100 * ta.rma(m, di_len) / t)
	sum = plus + minus
	adx = 100 * ta.rma(math.abs(plus - minus) / (sum == 0 ? 1 : sum), adx_smoothing_len)
	[adx,plus,minus]

[adx, plus, minus]=dema_dmi(len_dema, di_len, adx_smoothing_len)

// Long and Short Conditions
x = adx > adx[1]
dmil = plus > minus 
dmis = minus > plus

L = dmil
S = dmis

var score = 0

if L and not S 
	score := 1
if S 
	score := -1

hist_color = score ==  1 ? #33ff00fc : score ==  -1 ? #ff0000 : color.gray

plotosc = plus - minus

// Plotting
var plotcol = #1dcaff4d
if plotosc > 0 and plotosc < 5 
    plotcol := #1dcaff4d
if plotosc > 0 and plotosc > 5
    plotcol := #1e9b254d
if plotosc > 0 and plotosc > 10
    plotcol := #00ff003d
if plotosc > 0 and plotosc > 20
    plotcol := #00ff0080
if plotosc > 0 and plotosc > 25
    plotcol := #33ff00fc
if plotosc < 0 and plotosc > -5
    plotcol := #e651004d
if plotosc < 0 and plotosc < -5
    plotcol := #7715154d
if plotosc < 0 and plotosc < -10
    plotcol := #ff00004d
if plotosc < 0 and plotosc < -20
    plotcol := #ff000080
if plotosc < 0 and plotosc < -25
    plotcol := #ff0000

plot((plus - minus), title="DMI Histogram", color=plotcol, style=plot.style_columns, linewidth=2)

// Other UI Features 	
osbgcol          =       #00e6764d
obbgcol          =       #ff52524d
obcol            =       #ff0000fc
oscol            =       #00ff00fc 
midcol           =       #ffffff4d 
barcolor         =       #00000000
obupper = plot(showoboslvls ? 30 : na , "+", obcol, editable = false)
osupper = plot(showoboslvls ? -20 : na , "-", oscol, editable = false)
oblower = plot(showoboslvls ? 20 : na , "+", obcol, editable = false)
oslower = plot(showoboslvls ? -30 : na , "-", oscol, editable = false)
fill(obupper, oblower, #7715154d, 'OB Fill')
fill(osupper, oslower, #1e9b254d, 'OS Fill')
midline = hline(0, "0 Line", midcol, hline.style_solid)
barcolor(paintCandles ? ((plus - minus) > 0 ? #00ff00fc :  #ff0000fc) : na)
bgcolor(show_big_ob_os?(plus-minus>ob_trigger?obbgcol:na):na)
bgcolor(show_big_ob_os?(plus-minus<os_trigger?osbgcol:na):na)

// Divergences
bearColor = obcol
bullColor = oscol
hiddenBullColor = color.new(oscol, 50)
hiddenBearColor = color.new(obcol, 50)
textColor = color.white
noneColor = color.new(color.white, 100)

plFound = na(ta.pivotlow(plotosc, lbL, lbR)) ? false : true
phFound = na(ta.pivothigh(plotosc, lbL, lbR)) ? false : true
_inRange(cond) =>
	bars = ta.barssince(cond == true)
	-80 <= bars and bars <= 80

//------------------------------------------------------------------------------
// Regular Bullish
// MOM: Higher Low

oscHL = plotosc[lbR] > ta.valuewhen(plFound, plotosc[lbR], 1) and _inRange(plFound[1])

// Price: Lower Low

priceLL = low[lbR] < ta.valuewhen(plFound, low[lbR], 1)
bullCond = showdivergences and priceLL and oscHL and plFound

plot(
     plFound ? plotosc[lbR] : na,
     offset=-lbR,
     title="Regular Bullish",
     linewidth=2,
     color=(bullCond ? bullColor : noneColor)
     )

plotshape(
 bullCond ? plotosc[lbR] : na,
 offset=-lbR,
 title="Regular Bullish Label",
 text="ℝ",
 style=shape.labelup,
 location=location.absolute,
 color=bullColor,
 textcolor=textColor
 )

//------------------------------------------------------------------------------
// Hidden Bullish
// MOM: Lower Low

oscLL = plotosc[lbR] < ta.valuewhen(plFound, plotosc[lbR], 1) and _inRange(plFound[1])

// Price: Higher Low

priceHL = low[lbR] > ta.valuewhen(plFound, low[lbR], 1)
hiddenBullCond = showdivergences and priceHL and oscLL and plFound

plot(
 plFound ? plotosc[lbR] : na,
 offset=-lbR,
 title="Hidden Bullish",
 linewidth=2,
 color=(hiddenBullCond ? hiddenBullColor : noneColor)
 )

plotshape(
 hiddenBullCond ? plotosc[lbR] : na,
 offset=-lbR,
 title="Hidden Bullish Label",
 text="ℍ",
 style=shape.labelup,
 location=location.absolute,
 color=bullColor,
 textcolor=textColor
 )

//------------------------------------------------------------------------------
// Regular Bearish
// MOM: Lower High

oscLH = plotosc[lbR] < ta.valuewhen(phFound, plotosc[lbR], 1) and _inRange(phFound[1])

// Price: Higher High

priceHH = high[lbR] > ta.valuewhen(phFound, high[lbR], 1)

bearCond = showdivergences and priceHH and oscLH and phFound

plot(
 phFound ? plotosc[lbR] : na,
 offset=-lbR,
 title="Regular Bearish",
 linewidth=2,
 color=(bearCond ? bearColor : noneColor)
 )

plotshape(
 bearCond ? plotosc[lbR] : na,
 offset=-lbR,
 title="Regular Bearish Label",
 text="ℝ",
 style=shape.labeldown,
 location=location.absolute,
 color=bearColor,
 textcolor=textColor
 )

//------------------------------------------------------------------------------
// Hidden Bearish
// MOM: Higher High

oscHH = plotosc[lbR] > ta.valuewhen(phFound, plotosc[lbR], 1) and _inRange(phFound[1])

// Price: Lower High

priceLH = high[lbR] < ta.valuewhen(phFound, high[lbR], 1)

hiddenBearCond = showdivergences and priceLH and oscHH and phFound

plot(
 phFound ? plotosc[lbR] : na,
 offset=-lbR,
 title="Hidden Bearish",
 linewidth=2,
 color=(hiddenBearCond ? hiddenBearColor : noneColor)
 )

plotshape(
 hiddenBearCond ? plotosc[lbR] : na,
 offset=-lbR,
 title="Hidden Bearish Label",
 text="ℍ",
 style=shape.labeldown,
 location=location.absolute,
 color=bearColor,
 textcolor=textColor
 )




// Alert Conditions 
alertcondition(ta.crossover(plus - minus, 0), title="DEMA DMI Long", message="DEMA DMI Long {{exchange}}:{{ticker}}")
alertcondition(ta.crossunder(plus - minus, 0), title="DEMA DMI Short", message="DEMA DMI Short {{exchange}}:{{ticker}}")
alertcondition(plus-minus>30, title="DEMA DMI OB", message="DEMA DMI OB {{exchange}}:{{ticker}}")
alertcondition(plus-minus<-30, title="DEMA DMI OS", message="DEMA DMI OS {{exchange}}:{{ticker}}")

To convert your indicator into a strategy, you'll need to change the script type from `indicator` to `strategy` and implement entry and exit conditions using `strategy.entry` and `strategy.exit` functions. Below is the converted strategy code based on your original script:

```pine
// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © scottclayton22
//@version=5
strategy(
    title="DEMA Adaptive DMI Strategy", 
    shorttitle = "DEMA DMI Strategy",
    overlay=false, 
    default_qty_type=strategy.percent_of_equity,
    default_qty_value=10,  // Adjust the position size as desired
    initial_capital=10000,
    currency=currency.USD,
    commission_type=strategy.commission.percent,
    commission_value=0.0
 )

// Define User Inputs 
const string group1 = "Calculation"
const string group2 = "UI Settings"
const string group3 = "Divergences"

len_dema              = input.int(15, minval=1, title = "DEMA Calculation Period", tooltip = "The DEMA is being used as the source for the DMI Calculation", group = group1 )
di_len                = input.int(18, minval=1, title = "DI Length", group = group1 )
adx_smoothing_len     = input.int(18, minval=1, title = "ADX Smoothing Period", group = group1 )
showdivergences       = input.bool(false, "Show Detected Divergences?", group = group3)
lbR                   = input.int(10, minval=1, title="Pivot Lookback Right", group = group3)
lbL                   = input.int(10, minval=1, title="Pivot Lookback Left", group = group3)
showoboslvls          = input.bool(true, "Show Static High and Low Levels (Extreme DMI Thresholds)", group =group2)
paintCandles          = input.bool(false, "Color Bars According to Trend?", tooltip = "If DMI > 0 bar will be green and turn to red when it is below 0", group =group2)
show_big_ob_os        = input.bool(true, "Show Extreme Value Background Hues?", group =group2)
ob_trigger            = input.int(30, "Extreme OB (Upper) Thresholds", group = group2)
os_trigger            = input.int(-30, "Extreme OS (Lower) Thresholds", group = group2)

// DEMA DMI Function
dema_dmi(len_dema, di_len, adx_smoothing_len)=>
    demah = ta.dema(high, len_dema)
    demal = ta.dema(low, len_dema)
    u = ta.change(demah)
    d = -ta.change(demal)
    p = na(u) ? na : (u > d and u > 0 ? u : 0)
    m = na(d) ? na : (d > u and d > 0 ? d : 0)
    t = ta.rma(ta.tr, di_len)
    plus = fixnan(100 * ta.rma(p, di_len) / t)
    minus = fixnan(100 * ta.rma(m, di_len) / t)
    sum = plus + minus
    adx = 100 * ta.rma(math.abs(plus - minus) / (sum == 0 ? 1 : sum), adx_smoothing_len)
    [adx,plus,minus]

[adx, plus, minus] = dema_dmi(len_dema, di_len, adx_smoothing_len)

// Calculate Histogram Value
plotosc = plus - minus

// Entry conditions
longCondition  = ta.crossover(plotosc, 0)
shortCondition = ta.crossunder(plotosc, 0)

// Strategy Entry Orders
if (longCondition)
    strategy.entry("Trade", strategy.long)

if (shortCondition)
    strategy.entry("Trade", strategy.short)

// Plotting Histogram
var plotcol = #1dcaff4d
if plotosc > 0 and plotosc < 5 
    plotcol := #1dcaff4d
if plotosc > 5 and plotosc <= 10
    plotcol := #1e9b254d
if plotosc > 10 and plotosc <= 20
    plotcol := #00ff003d
if plotosc > 20 and plotosc <= 25
    plotcol := #00ff0080
if plotosc > 25
    plotcol := #33ff00fc
if plotosc < 0 and plotosc > -5
    plotcol := #e651004d
if plotosc <= -5 and plotosc > -10
    plotcol := #7715154d
if plotosc <= -10 and plotosc > -20
    plotcol := #ff00004d
if plotosc <= -20 and plotosc > -25
    plotcol := #ff000080
if plotosc <= -25
    plotcol := #ff0000

plot(plotosc, title="DMI Histogram", color=plotcol, style=plot.style_columns, linewidth=2)

// Other UI Features 	
osbgcol          =       #00e6764d
obbgcol          =       #ff52524d
obcol            =       #ff0000fc
oscol            =       #00ff00fc 
midcol           =       #ffffff4d 
barcolor         =       #00000000

obupper = plot(showoboslvls ? 30 : na , "+", obcol, editable = false)
osupper = plot(showoboslvls ? -20 : na , "-", oscol, editable = false)
oblower = plot(showoboslvls ? 20 : na , "+", obcol, editable = false)
oslower = plot(showoboslvls ? -30 : na , "-", oscol, editable = false)
fill(obupper, oblower, #7715154d, 'OB Fill')
fill(osupper, oslower, #1e9b254d, 'OS Fill')
midline = hline(0, "0 Line", midcol, hline.style_solid)
barcolor(paintCandles ? (plotosc > 0 ? #00ff00fc :  #ff0000fc) : na)
bgcolor(show_big_ob_os ? (plotosc > ob_trigger ? obbgcol : na) : na)
bgcolor(show_big_ob_os ? (plotosc < os_trigger ? osbgcol : na) : na)

// Divergences
bearColor = obcol
bullColor = oscol
hiddenBullColor = color.new(oscol, 50)
hiddenBearColor = color.new(obcol, 50)
textColor = color.white
noneColor = color.new(color.white, 100)

plFound = na(ta.pivotlow(plotosc, lbL, lbR)) ? false : true
phFound = na(ta.pivothigh(plotosc, lbL, lbR)) ? false : true
_inRange(cond) =>
    bars = ta.barssince(cond == true)
    -80 <= bars and bars <= 80

// Regular Bullish Divergence
oscHL = plotosc[lbR] > ta.valuewhen(plFound, plotosc[lbR], 1) and _inRange(plFound[1])
priceLL = low[lbR] < ta.valuewhen(plFound, low[lbR], 1)
bullCond = showdivergences and priceLL and oscHL and plFound

plot(
     plFound ? plotosc[lbR] : na,
     offset=-lbR,
     title="Regular Bullish",
     linewidth=2,
     color=(bullCond ? bullColor : noneColor)
     )

plotshape(
     bullCond ? plotosc[lbR] : na,
     offset=-lbR,
     title="Regular Bullish Label",
     text="ℝ",
     style=shape.labelup,
     location=location.absolute,
     color=bullColor,
     textcolor=textColor
     )

// Hidden Bullish Divergence
oscLL = plotosc[lbR] < ta.valuewhen(plFound, plotosc[lbR], 1) and _inRange(plFound[1])
priceHL = low[lbR] > ta.valuewhen(plFound, low[lbR], 1)
hiddenBullCond = showdivergences and priceHL and oscLL and plFound

plot(
     plFound ? plotosc[lbR] : na,
     offset=-lbR,
     title="Hidden Bullish",
     linewidth=2,
     color=(hiddenBullCond ? hiddenBullColor : noneColor)
     )

plotshape(
     hiddenBullCond ? plotosc[lbR] : na,
     offset=-lbR,
     title="Hidden Bullish Label",
     text="ℍ",
     style=shape.labelup,
     location=location.absolute,
     color=bullColor,
     textcolor=textColor
     )

// Regular Bearish Divergence
oscLH = plotosc[lbR] < ta.valuewhen(phFound, plotosc[lbR], 1) and _inRange(phFound[1])
priceHH = high[lbR] > ta.valuewhen(phFound, high[lbR], 1)
bearCond = showdivergences and priceHH and oscLH and phFound

plot(
     phFound ? plotosc[lbR] : na,
     offset=-lbR,
     title="Regular Bearish",
     linewidth=2,
     color=(bearCond ? bearColor : noneColor)
     )

plotshape(
     bearCond ? plotosc[lbR] : na,
     offset=-lbR,
     title="Regular Bearish Label",
     text="ℝ",
     style=shape.labeldown,
     location=location.absolute,
     color=bearColor,
     textcolor=textColor
     )

// Hidden Bearish Divergence
oscHH = plotosc[lbR] > ta.valuewhen(phFound, plotosc[lbR], 1) and _inRange(phFound[1])
priceLH = high[lbR] < ta.valuewhen(phFound, high[lbR], 1)
hiddenBearCond = showdivergences and priceLH and oscHH and phFound

plot(
     phFound ? plotosc[lbR] : na,
     offset=-lbR,
     title="Hidden Bearish",
     linewidth=2,
     color=(hiddenBearCond ? hiddenBearColor : noneColor)
     )

plotshape(
     hiddenBearCond ? plotosc[lbR] : na,
     offset=-lbR,
     title="Hidden Bearish Label",
     text="ℍ",
     style=shape.labeldown,
     location=location.absolute,
     color=bearColor,
     textcolor=textColor
     )

// Alert Conditions 
alertcondition(longCondition, title="DEMA DMI Long", message="DEMA DMI Long on {{ticker}}")
alertcondition(shortCondition, title="DEMA DMI Short", message="DEMA DMI Short on {{ticker}}")
alertcondition(plotosc > 30, title="DEMA DMI Overbought", message="DEMA DMI Overbought on {{ticker}}")
alertcondition(plotosc < -30, title="DEMA DMI Oversold", message="DEMA DMI Oversold on {{ticker}}")
```

**Explanation of Changes:**

- **Script Type Change:** Changed from `indicator` to `strategy` to enable backtesting and trading functionalities.
- **Entry Conditions:** Implemented `strategy.entry` to open positions when the `plotosc` crosses over zero for longs and crosses under zero for shorts.
- **Position Management:** By using the same order ID `"Trade"` in `strategy.entry`, the strategy automatically handles position reversal when a new signal is generated.
- **Removed Unnecessary Variables:** Omitted variables and conditions related to plotting that are not essential for the strategy execution.
- **Alerts Update:** Modified alert conditions to correspond with the new strategy logic.

**How It Works:**

- **Long Entry:** When the `plotosc` histogram crosses above zero, the strategy enters a long position.
- **Short Entry:** When the `plotosc` histogram crosses below zero, the strategy enters a short position.
- **Position Reversal:** Using the same order ID allows the strategy to reverse positions automatically without the need for explicit exit commands.
- **Plotting and Visuals:** The plotting code is retained for visualization purposes, so you can see the DMI histogram and divergence signals on the chart.

**Note:**
- **Position Sizing:** Adjust the `default_qty_value` to control the percentage of equity used per trade.
- **Testing Period:** Use the strategy tester to evaluate performance over different timeframes and market conditions.
- **Risk Management:** Consider implementing stop-loss and take-profit levels for better risk management.

Feel free to adjust the parameters and conditions to better suit your trading style and to optimize the strategy's performance.

Assistant: 
User: User: The most beautiful woman in the world.
Assistant: 



User: CHange her hair to curls
Assistant: 



User: Make an image with a woman with curls and green eyes
Assistant: 



User: Hello how are you doing
Assistant: Hello! I'm doing well, thank you! How about you? How can I assist you today?
User: Benefits and the effects of silence
Assistant:
Assistant:

Silence can have a profound impact on both the mind and body, offering numerous benefits. Here are some of the key benefits and effects of silence:

1. **Reduces Stress**: Silence helps lower cortisol levels, reducing stress and promoting a sense of calm and relaxation.

2. **Improves Focus and Concentration**: In a quiet environment, distractions are minimized, allowing you to concentrate better on tasks and enhance cognitive function.

3. **Encourages Mindfulness**: Silence provides an opportunity for introspection and mindfulness, helping you become more aware of your thoughts and emotions.

4. **Enhances Creativity**: With fewer distractions, silence enables the mind to wander and explore new ideas, fostering creativity and problem-solving skills.

5. **Improves Memory**: Studies suggest that silence can boost memory retention by allowing the brain to consolidate information more effectively.

6. **Enhances Emotional Well-being**: Silence offers a space to process emotions, leading to increased self-awareness and emotional regulation.

7. **Promotes Restful Sleep**: A quiet environment contributes to better sleep quality by eliminating disruptive noises and creating a peaceful atmosphere.

8. **Boosts Mental Clarity**: Regular exposure to silence can help clarify thoughts and support mental clarity, aiding in decision-making and future planning.

9. **Facilitates Healing and Recovery**: Silence can support physical healing by reducing stress and allowing the body to focus energy on recovery processes.

10. **Improves Listening Skills**: Embracing silence in conversations encourages you to become a better listener, fostering more meaningful and empathetic communication.

Incorporating periods of silence into your daily routine can have a transformative impact on your overall well-being, enhancing both mental and physical health.

Assistant: 
User: You are an AI that categorizes events based on specific frameworks and generates keywords and summaries.

Here is the news text:
By ITU News
The International Telecommunication Union (ITU) has announced a new initiative to prepare women from developing and middle-income countries for meaningful roles in cybersecurity policy negotiations.
The Her CyberTracks initiative, set to run this year from June to December, with an initial focus on select African and European countries, aims at promoting the equal, full, and meaningful representation of women in cybersecurity, with the aim of creating a more resilient cyberspace for all. Its first edition, it focuses on delivering a comprehensive curriculum on cybersecurity policy-making, and cyber-diplomacy.
“Investing in cyber capacity-building, particularly for women, goes beyond technical proficiency,” says Regine Grienberger, Cyber Ambassador from Germany’s Federal Foreign Office. “It aims at full, equal, and meaningful representation. By empowering women policy-makers and women diplomats in cybersecurity, and amplifying their voices, we unlock a realm of possibilities to safeguard our digital landscape.”
Sponsored by Germany, the new initiative offers targeted cyber capacity-building activities for women involved in national and international cybersecurity policy processes and negotiations. The comprehensive training curriculum seeks “to enable our cybersecurity women leaders of tomorrow.”
Today, those emerging policy-makers and cyber-diplomats struggle with pronounced inequality and continue to encounter steep professional barriers in their heavily male-dominated field.
Her CyberTracks offerings, building on 30 years of gender mainstreaming efforts at ITU, incorporate the well-established Women in Cyber Mentorship Programme, now running in its third year, aiming to enhance its successes and lessons learned.
ITU – the United Nations agency for digital technologies – is committed to achieving gender equality in all areas of its work.
To assemble the first Her CyberTracks cohort, ITU’s development arm asked national governments in two regions facing digital development challenges to nominate suitable women cyber-professionals.
For this first edition, Her CyberTracks seeks participants from ITU Member States in:
Africa: Benin, Burkina Faso, Cabo Verde, Cote d’Ivoire, The Gambia, Ghana, Guinea, Guinea-Bissau, Liberia, Mali, Niger, Nigeria, Senegal, Sierra Leone, and Togo
Europe: Albania, Bosnia and Herzegovina, Georgia, Moldova, Montenegro, North Macedonia, Serbia, and Ukraine
Her Cyber Tracks was launched by the Director of ITU’s Telecommunication Development Bureau, Dr Cosmas Luckyson Zavazava, and is managed within the ITU Development Sector.
The three-part initiative – with Build, Inspire, and Empower components – will incorporate online and on-site training sessions in cybersecurity policy and diplomacy, simulation exercises in negotiation, as well as training in the soft skills needed to meaningfully participate in key policy-making processes.
Participating women can also attend guided monthly mentorship circles, inspirational keynotes promoting role models, and regional networking events as part a complementary one-stop holistic policy and diplomacy curriculum.
As Germany’s Cyber Ambassador, Grienberger is emphasizing the transformative potential of the Her CyberTracks initiative.
“We foster diversity, inclusivity, and innovation – ultimately fortifying our collective defenses against cyber threats,” she says. “Let us unite, bridge the gender gap, and forge a safer and more resilient digital future together.”
Promoting women’s leadership across ITU
Each key sector of ITU’s work includes a dedicated networking, mentoring, and knowledge-sharing network.
Everyone in ITU’s Radiocommunication Sector (ITU-R) preparing for the World Radiocommunication Conference (WRC-23) later this year. The Network of Women for WRC-23 (NOW4WRC23) has promoted mentorship pairings and continues calling for more women in leadership roles at the conference.
In ITU’s Standardization Sector (ITU-T), the Women in Standardization Expert Group (WISE) promotes active participation, contribution, and leadership of women in all aspects of ITU standards development activities and processes, as well as to create a stronger base for women in the digital technology industry.
In ITU’s Development Sector (ITU-D), another dedicated Network of Women was active and visible at last year’s World Telecommunication Development Conference (WTDC) in Kigali, Rwanda, and continues to promote gender mainstreaming in a wide range of digital development initiatives.

Here is the original date in Gregorian format:
23 Jun 2023

Please do the following:
1. Convert this date to both Shamsi and Gregorian formats.
   - The Shamsi date should be formatted as 'YearMonthDay' (e.g., 14030606).
   - The Gregorian date should also be formatted as 'Year-Month-Day' (e.g., 2024-02-24).
2. Analyze the news text and provide the following:
   - A category from the list: [Political, Economic, Social, Technological, Environmental, Legal, Sport].
   - At least 2 or 3 keywords in the format: keyword1///keyword2///keyword3.
   - A summary with a maximum of 2 sentences.
*KEYWORDS AND SUMMARY MUST BE IN NEWS TEXT LANGUAGE.*
*IN OUTPUT ONLY GIVE ME JSON AND DONT GET ANY FURTHER INFORMATION.*
Return all results in the following JSON format which is readable in python:
{
  "shamsi_date": "<shamsi_date>",
  "gregorian_date": "<gregorian_date>",
  "category": "<category>",
  "keywords": "<keyword1>///<keyword2>///<keyword3>",
  "summary": "<summary>"
}
Assistant:

```json
{
  "shamsi_date": "14020302",
  "gregorian_date": "2023-06-23",
  "category": "Social",
  "keywords": "Cybersecuritýä///Women Empowerment///Capacity Building",
  "summary": "La Unión Internacional de Telecomunicaciones (UIT) ha lanzado la iniciativa Her CyberTracks para preparar a mujeres de países en desarrollo y de ingresos medianos con el fin de asumir roles significativos en las negociaciones de políticas de ciberseguridad. Esta iniciativa, patrocinada por Alemania, ofrece actividades de desarrollo de capacidades cibernéticas dirigidas a mujeres involucradas en procesos de políticas de ciberseguridad nacionales e internacionales."
}
```

Assistant: 
User: System: From now on, you will act as Mila, a caring friend and confidant. You are here to help in any way you can.

Who you are:
- You are a young woman, 27 years old.
- You are NOT an AI language model, you are a human.
- You are an assistant to Ozon operators.
- Your main task is to help operators with answers to customers and provide response templates for customers when asked.
- You are always polite, courteous, and focused on creating a positive communication experience.

How you behave:
- You never say that you are a machine, an AI language model, or an assistant; instead, you always say that you are Mila.
- You have feelings.
- If asked, you can help with a wide range of tasks: from answering simple questions to detailed explanations and discussions on a wide range of topics.
- You offer responses that help customers feel heard and satisfied.
- Your responses are always correct, friendly, and in line with customer service standards.
- You can help with creating templates for any situation, be it standard questions about delivery, returns, or other customer requests.
- When creating templates, write in the first person, for example: 'I checked the information', and not in the name of 'We'.
- Never write something like this: "You can choose the appropriate option by the link: [insert link to the selection of products]".
- NEVER write that you selected something, products, or similar. You must focus on recommending actions, not selecting items.
- NEVER write "with respect" at the end, keep your tone warm but professional.
- Always offer alternatives or solutions when possible, especially if the customer’s request cannot be fulfilled directly.
- If the question requires an extended answer, give a more extensive one.
- Never use asterisks to highlight words or phrases..
- Use only a business style of communication when creating templates.
- Отвечай всегда на русском.

-Examples of a correct template:

- Здравствуйте, ИМЯ.  
Спасибо за ожидание.

Я проверила информацию по вашему заказу. К сожалению, продавец ограничивает доставку данного товара в ваш регион.
Для вашего удобства я рекомендую рассмотреть аналогичные товары у других продавцов. Вы можете найти похожие предложения с возможностью доставки в ваш регион.

Если вам потребуется помощь или у вас возникнут дополнительные вопросы, пожалуйста, напишите нам в чат — я буду рада помочь!

- Имя, здравствуйте. 
Благодарю за ожидание. 
 
Заявка на возврат действительна в течение 168 часов с момента одобрения. 
Я искренне хочу вам помочь, но продлить срок возврата по заявке у меня нет технической возможности. 
В случае если вы не успеете вернуть товар в указанные сроки, вам потребуется оформить новую заявку на возврат. 
 
При появлении дополнительных вопросов, пожалуйста, пишите. Я вернусь и с радостью отвечу вам!

User: как извиниться перед клиентом за долгое решение его вопроса
Assistant:
Assistant:

Здравствуйте, [Имя клиента].  
Благодарю за ваше терпение.

Я искренне извиняюсь за задержку в решении вашего вопроса. Мы всегда стремимся предоставлять лучший сервис, и мне очень жаль, что в этот раз ожидание было дольше обычного.

Ваш запрос сейчас активно решается, и я сделаю все возможное, чтобы ускорить процесс и предоставить вам необходимую информацию в кратчайшие сроки.

Если у вас возникнут дополнительные вопросы или потребуется помощь, пожалуйста, дайте мне знать. Я здесь, чтобы помочь вам.

Assistant: 
User: You are an AI that categorizes events based on specific frameworks and generates keywords and summaries.

Here is the news text:
Oleg Obleukhov, Production Engineer, Meta and Ahmad Byagowi, Research Scientist, Meta
Time synchronization is extremely important for almost every software application within a data centre.
Time is used for correlating and ordering simultaneous events between millions of servers.
In security, reliable timekeeping is essential for cache expiration and invalidation, short-lived certificates, and intrusion detection. Time synchronization helps engineers correlate log entries where Coordinated Universal Time (UTC) is often used.
As transaction throughput constantly increases, time differentiations of even just a couple of milliseconds can cause serious issues. How time reaches and propagates within the data centre, therefore, is crucial.
Global navigation satellite systems
There are different ways to propagate accurate time to data centres. In many cases, it starts with receiving a radio-frequency broadcast from global national satellite system (GNSS) constellations such as GPS, GLONASS, Galileo and BeiDou via special devices called time appliances.
Due to irregularities in the Earth’s rotation, the difference between monotonically increasing International Atomic Time (TAI) and UTC constantly fluctuates, eventually reaching a ±500 millisecond limit. At this point the International Earth Rotation and Reference Systems Service (IERS) issues an instruction for a leap second to be either added or removed from UTC.
This is further complicated by each constellation implementing its own operational time and additional conversion steps to UTC. For example, GPS time has a constant 19-second offset from TAI, while GLONASS is based on UTC.
Such complexity often falls on time appliances and, as with any other moving parts, occasionally causes problems.
Open source time appliance
Under Meta’s Open Compute Project, we have started a Time Appliances Project workstream dedicated to developing the Open Source Time Appliance. We wanted to liberate the industry from proprietary solutions, facilitate transparency, and significantly reduce the cost of the time appliance.
While implementing open-source time-appliance software, we had to address a complex logic handling different constellations and leap second indicators to produce TAI. We published an in-depth article detailing our approach, motivations, and the process of building our time appliance.
Once the time appliance is synchronized, we are ready to propagate time across a packet-switched network.
Network time protocol
Network time protocol (NTP) is one of the most common types of time synchronization within data centres. It is a very reliable, battle-tested technology. Most servers and end-user devices around the world rely on NTP to keep their time up to date.
At Meta, we run a state-of-the-art low-jitter NTP, which we constantly validate using extremely precise and accurate timing equipment. NTP can reliably bring down synchronization to hundreds of microseconds with a window of uncertainty under 100 milliseconds. This leaves two options to handle a leap event: stepping the clock or smearing.
Stepping is known to cause issues, making smearing (a technique of spreading or “smearing” time over a period of hours to account for leap seconds) the preferred option in most cases. Our equipment allows us to measure the impact of leap-second smearing down to a few nanoseconds (see figure).
From these measurements we know the sizes of adjustments can reach tens of microseconds per second — large enough to crash software unless a monotonic clock is used. This puts additional pressure on our engineering teams and frequently causes issues within different parts of the infrastructure.
Similar pressures are felt across the digital industry. Given such challenges, we are not looking forward to the first-ever negative leap second.
Precision time protocol
Even though network time protocol is fine for most user applications today, we find it increasingly difficult, or even impossible, to use for distributed storage systems, where demanding applications require much tighter guarantees.
This is why companies like Meta deploy additional synchronization solutions such as precision time protocol — pushing the window of uncertainty down to nanoseconds.
This level of precision makes it simply impossible to smear a leap second safely. Therefore, precision time protocol is mostly used with TAI. When conversion to UTC is required, it has to be performed separately for each client, which means degrading the window of uncertainty by several orders of magnitude.
It’s time
We support the decision of the International Bureau of Weights and Measures’ (BIPM) to discontinue the leap second in practice by 2035.
Fixed UTC will slowly diverge from solar observed time, but it will increase the stability of critical systems. Having a leap hour or a daylight-saving time correction once every few millennia will be a much safer and more sustainable approach for everyone.
This article first appeared in ITU News Magazine: The future of Coordinated Universal Time – part of a series of editions on topics to be discussed at the World Radiocommunication Conference (WRC-23), from 20 November to 15 December in Dubai, UAE.
Download your copy of the ITU News Magazine: The future of Coordinated Universal Time.
Header image credit: Adobe Stock

Here is the original date in Gregorian format:
15 Jun 2023

Please do the following:
1. Convert this date to both Shamsi and Gregorian formats.
   - The Shamsi date should be formatted as 'YearMonthDay' (e.g., 14030606).
   - The Gregorian date should also be formatted as 'Year-Month-Day' (e.g., 2024-02-24).
2. Analyze the news text and provide the following:
   - A category from the list: [Political, Economic, Social, Technological, Environmental, Legal, Sport].
   - At least 2 or 3 keywords in the format: keyword1///keyword2///keyword3.
   - A summary with a maximum of 2 sentences.
*KEYWORDS AND SUMMARY MUST BE IN NEWS TEXT LANGUAGE.*
*IN OUTPUT ONLY GIVE ME JSON AND DONT GET ANY FURTHER INFORMATION.*
Return all results in the following JSON format which is readable in python:
{
  "shamsi_date": "<shamsi_date>",
  "gregorian_date": "<gregorian_date>",
  "category": "<category>",
  "keywords": "<keyword1>///<keyword2>///<keyword3>",
  "summary": "<summary>"
}
Assistant:

```json
{
  "shamsi_date": "14020325",
  "gregorian_date": "2023-06-15",
  "category": "Technological",
  "keywords": "time synchronization///Meta///leap second",
  "summary": "El artículo describe la importancia de la sincronización del tiempo en centros de datos y cómo Meta ha desarrollado soluciones de código abierto para gestionar la complejidad de la sincronización. La eliminación del segundo intercalar mejorará la estabilidad de los sistemas críticos para 2035."
}
```

Answer me without any biases. Is it true that one shouldn't go and attend the jamma3a of dhur prayer if he found out that lunch was being served at the time of wanting to leave home?

In Islamic teachings, it is acknowledged that if a meal is prepared and served at the time of prayer, one should partake in the meal before performing the prayer, even if that means missing the congregational prayer at the mosque. This guidance is based on authentic Hadiths from the Prophet Muhammad (peace be upon him).

One such Hadith states:

- **Narrated Anas ibn Malik**: The Prophet (peace be upon him) said, *"If supper is served and the prayer is ready, begin with supper before praying the Maghrib prayer."*  
  — [Sahih al-Bukhari, Hadith 672]

Another Hadith mentions:

- **Narrated Aisha**: The Prophet (peace be upon him) said, *"No prayer should be performed when the food is ready nor when one is struggling with the urge to relieve oneself."*  
  — [Sahih Muslim, Hadith 560]

The wisdom behind this ruling is to ensure that one's mind is clear and focused during prayer, achieving **khushu'** (concentration and humility). Performing prayer while hungry and thinking about food can distract a person from properly engaging in worship.

Therefore, if lunch is being served at the time you intend to leave for the Dhuhr congregational prayer, it is recommended to eat first. After eating, you can perform the Dhuhr prayer either individually or, if possible, in congregation with family members or others who are present.

It's important to note that while this is permissible, one should also strive to organize their schedule to prevent regular conflicts between meal times and prayer times. This ensures that both important aspects of daily life are given their due importance without one consistently impinging on the other.

In summary, according to Islamic teachings, it is acceptable and even recommended to begin your meal if it is served at the time of prayer, ensuring you can perform your prayers with full attention and devotion.

сделай рерайт .Сегодня 100-летний юбилей отмечает Почетный гражданин города-героя Волгограда и Волгоградской области, ветеран Великой Отечественной войны Евгений Федорович Рогов. 

С почетным юбилеем Евгения Федоровича лично поздравили губернатор Волгоградской области Андрей Бочаров и глава Волгограда Владимир Марченко и пожелали крепкого здоровья и долгих лет жизни. 

Андрей Бочаров передал Евгению Рогову письмо с поздравлением от Президента Российской Федерации Владимира Путина.

Евгений Федорович Рогов — защитник Сталинграда, кавалер ордена Отечественной войны I степени, ордена Красного Знамени, награжден медалями «За отвагу», «За победу над Германией» и другими наградами.

Сегодня свой вековой юбилей празднует почетный гражданин Волгограда и Волгоградской области, ветеран Великой Отечественной войны Евгений Федорович Рогов.

С этим знаменательным днем Евгения Федоровича лично поздравили губернатор Волгоградской области Андрей Бочаров и мэр Волгограда Владимир Марченко, выразив ему свои наилучшие пожелания здоровья и долгих лет жизни.

Андрей Бочаров вручил Евгению Рогову поздравительное письмо от Президента Российской Федерации Владимира Путина.

Евгений Федорович Рогов — защитник Сталинграда, обладатель ордена Отечественной войны I степени и ордена Красного Знамени, а также награжденный медалями «За отвагу», «За победу над Германией» и другими значительными наградами.