Asara Adams

ENERGY UPDATE BY THE PLEIADIAN-SIRIAN – ARCTURIAN COUNCIL OF LIGHT ~ November 22, 2020

“We are Here NOW.

We LOVE you.

We are you, from your future, to assist you on your path.

#Thread - 1/21

A story of a brave woman who let her "breast" cut to protect the life of Netaji Subhash Chandra Bose!

Neera Arya was born on March 5 1902 in Khekra Nagar, Uttar Pradesh in a distinguished & eminent businessman Seth Chhajumal's family. Since her childhood,

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She was a true nationalist & always had a vision of becoming a part of the freedom fighter movement. She was also reportedly accused as an undercover by the British Govt.

That was the time when her father's business was flourishing in Calcutta, though his business was..

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spread across the country but Calcutta was the center of his business and that was one of the reasons why her education was done in Calcutta. During that period of time, she had learned quite a few languages along with Bengali, Hindi, English.

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Her father got her married to a CID Inspector "Shrikant Jairanjan Das" in British India but they were two different individuals, Neera Arya was a true nationalist but her husband was a true British servant. She was highly motivated & she had an urge of getting us freedom..

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so she ended up joining the Jhansi Regiment in Azad Hind Fauz after the marriage. It was the regiment that the British always accused them of spying on British Govt.

It was the time when Neera's husband Jairanjan Das was given the responsibility to spy on Netaji Subhash..

FEW USEFUL CHARTINK SCANNERS :

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Few Important Chart ink Scanners which can help you to find Setups and boost up your Trading Account : 🧵

Do Retweet If you If it Useful

1. Momentum Stocks

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Stocks which are up by 20 % in 5 Days
Stocks which are up by 30 % in 30 Days
Stocks which are up by 30 % in 30 Days

2. Volume Spike

We always Look for Price and Volume Confirmation for Breakout Trading. This scanner will help you to find the Stocks Which has given a move with Good Volume . You can keep this Stock in Radar and catch the Next move in them :

3 . Reversal Scan

Stocks which are Down by 20 % + in 5 days

When Market Corrects for sometime , You can find Stocks where selling is Exhausted and they can make a Good Reversal move .

4. Reversal Scan - Stock Down continues 5 days .

If you Know the Concept of 3-5 Days move . you might catch few stocks from this scanner. Always try and Pick stocks which are in strong momentum , you have more Chances of Getting Right in Reversal Trade.

LING PURANA: IMPORTANCE AND CHARACTERISTICS

Reading Ling Purana provides bhog and moksha to the reader and listeners. It is about Shiva's sermon to Brahma when Shiva entered the Agni Ling and preached about Dharma sidhhi through the stories of Agni Kalp.

Vyasji divided this into two parts. This book is different from others and has eleven thousand shlokas which depict the glory of Shiva. This Puran is the summary about importance of Tridev.
It starts first with a questions. Then it describes the Shrishti in brief.

Then there is description of Yog and Kalp. Next is the evolution of Ling and its puja Vidhi. It consists of dialogue between Sanat Kumar and Shail etc. It also mentions the character of Dadhichi, the dharma representation of that yug, Bhuvan kosh description,

Chandravansh and Surya vansh. Next there is elaborate description of Shrishti, story of Tripur, Ling and Pashu Paash vimoksha, Vrats for Shiva, Discipline, Repentance, Arisht, description of Shri Shail. Next is the story of Andhakasur, Varah, Narsingh,

k¡lling of Jalandhar, Shiv sahastra naam, story of Daksha's yagya and its destruction, killing of Madan and marriage of Parvati.

Next is Vinayak katha, Shiv tandav, Ambrish katha and Upmanyu .

Can we control the output of neural generation systems?
Can we build a better chatbot using this control?
And what makes a good conversation anyway?

Check out the blog post for our NAACL paper:

https://t.co/UAAUxSeA0L

#AI #NLProc #DeepLearning #ConversationalAI @facebookai

This post got a little delayed since the paper's publication, but the intervening time has given me an opportunity to reflect.

So this post has some extra thoughts regarding more recent NLG developments - e.g., pretrained models like GPT(2), and the suitability of beam search.