WHY MASKS DON'T WORK:
Coughing is NOT the issue.
Large droplets are NOT the issue. Breathing exhales MUCH MORE virus in fine aerosols than coughing. Finer aerosols bypass masks/nose & reach the lungs. Masks NEBULIZE. Solution is VENTILATION not face masks.
https://t.co/FMqYszHKVt

दधीचि ऋषि को मनाही थी कि वह अश्विनी कुमारों को किसी भी अवस्था में ब्रह्मविद्या का उपदेश नहीं दें। ये आदेश देवराज इन्द्र का था।वह नहीं चाहते थे कि उनके सिंहासन को प्रत्यक्ष या परोक्ष रुप से कोई भी खतरा हो।मगर जब अश्विनी कुमारों ने सहृदय प्रार्थना की तो महर्षि सहर्ष मान गए।

और उन्होनें ब्रह्मविद्या का ज्ञान अश्विनि कुमारों को दे दिया। गुप्तचरों के माध्यम से जब खबर इन्द्रदेव तक पहुंची तो वे क्रोध में खड़ग ले कर गए और महर्षि दधीचि का सर धड़ से अलग कर दिया।मगर अश्विनी कुमार भी कहां चुप बैठने वाले थे।उन्होने तुरंत एक अश्व का सिर महर्षि के धड़ पे...

...प्रत्यारोपित कर उन्हें जीवित रख लिया।उस दिन के पश्चात महर्षि दधीचि अश्वशिरा भी कहलाए जाने लगे।अब आगे सुनिये की किस प्रकार महर्षि दधीचि का सर काटने वाले इन्द्र कैसे अपनी रक्षा हेतु उनके आगे गिड़गिड़ाए ।

एक बार देवराज इन्द्र अपनी सभा में बैठे थे, तो उन्हे खुद पर अभिमान हो आया।

वे सोचने लगे कि हम तीनों लोकों के स्वामी हैं। ब्राह्मण हमें यज्ञ में आहुति देते हैं और हमारी उपासना करते हैं। फिर हम सामान्य ब्राह्मण बृहस्पति से क्यों डरते हैं ?उनके आने पर क्यों खड़े हो जाते हैं?वे तो हमारी जीविका से पलते हैं। देवर्षि बृहस्पति देवताओं के गुरु थे।

अभिमान के कारण ऋषि बृहस्पति के पधारने पर न तो इन्द्र ही खड़े हुए और न ही अन्य देवों को खड़े होने दिया।देवगुरु बृहस्पति इन्द्र का ये कठोर दुर्व्यवहार देख कर चुप चाप वहां से लौट गए।कुछ देर पश्चात जब देवराज का मद उतरा तो उन्हे अपनी गलती का एहसास हुआ।

Marvels of Medical Science in Ancient India

ACHARYA SUSHRUTA and SUSHRUTA SAMHITA

Ancient Indians were pioneers in diverse fields of study and their genius was centuries ahead of their times. Feel the glory, basking in pride of their unparalleled achievements.

(Thread)

Sushruta (circa 7th or 6th century BC) was a surgeon who in present times is known as the “father of Indian medicine” and “father of plastic surgery” for inventing and developing surgical procedures. He lived in Kashi on the banks of river Ganga.(1)

His work documented in the Sushruta Samhita (compendium) is one of the oldest texts in the world on plastic surgery and regarded as one of the trilogies of Ayurveda. The other 2 being the Charaka Samhita and Astanga Hridaya.(2)

Sushruta compiled the Sushruta Samhita as an instruction manual for physicians to treat patients.(3)

The Samhita caters to surgical techniques listing over 300 surgical procedures and 120 surgical instruments. Additionally to 1,120 diseases, injuries and their treatments with over 700 medicinal herbs and their application.(4)

WHO ARE VALAKHILYAS?

Valakhilyas are 60000 Rishis who are thumb-sized. They were born to Kratu and Kriya. Rig Veda says that they sprang from the hairs of Brahma.
They move in front of Surya dev’s chariot as Sun moves daily and
shine like brilliant lights due to severe tapasya.

Tamil literature says that the main task of Valakhilyas is to prevent human beings from being scorched. They absorb the excess heat from the sun by travelling in front of him. They, in turn, get energy from Skanda and Ma Durga. The food of Valakhilyas is only wind.
@SriRamya21

Once, Rishi Kashyap performed a yagna and invited all the Devas and Rishis to help him. Indra brought a whole mountain of trees for firewood. The Valakhilyas were hardly able to lift anything but leaves. Even when they were moving leaves, they fell into rain water puddles.

Indra made fun of them. So they cursed Indra saying that his slayer would be born as the son of Kashyapa. When Indra apologized, they modified the curse that the son shall be initially an enemy of Indra, but later will become his friend.

This son born later to Kashyapa was Garuda. He flew to Indraloka to get Amrita and defeated Indra.
Later, he restored amrit vessel to Indra and was honoured as the King of birds and as the mount of Sri Vishnu.
@JumbuTweeple @artist_rama

Important paper from Google on large batch optimization. They do impressively careful experiments measuring # iterations needed to achieve target validation error at various batch sizes. The main "surprise" is the lack of surprises. [thread]

https://t.co/7QIx5CFdfJ

The paper is a good example of lots of elements of good experimental design. They validate their metric by showing lots of variants give consistent results. They tune hyperparamters separately for each condition, check that optimum isn't at the endpoints, and measure sensitivity.

They have separate experiments where the hold fixed # iterations and # epochs, which (as they explain) measure very different things. They avoid confounds, such as batch norm's artificial dependence between batch size and regularization strength.

When the experiments are done carefully enough, the results are remarkably consistent between different datasets and architectures. Qualitatively, MNIST behaves just like ImageNet.

Importantly, they don't find any evidence for a "sharp/flat optima" effect whereby better optimization leads to worse final results. They have a good discussion of experimental artifacts/confounds in past papers where such effects were reported.