~ Provided guidance and funding for Oxygen plants to set up in states a year ago
~ In August last year, MoH provided guidelines and asked states to develop their own protocols for arrivals
Some hard facts on India's battle with Chinese Virus. This will disappoint @narendramodi haters. I will dismantle their narrative.
138 Cr people. That is 196 countries in the world from Morocco to Holy See.
Indian PM = 196 Prime Ministers of the world.
Let that sink in first.
~ Provided guidance and funding for Oxygen plants to set up in states a year ago
~ In August last year, MoH provided guidelines and asked states to develop their own protocols for arrivals
~ Created an online tool for states to record needs
~ Since 27 Feb 21, MoH sent warnings to states asking to reinforce Covid behaviours and 'deal firmly with violations'
~ This warning and SOP was extended on 31 Jan
Hey, warning was all over the place. Centre was practically screaming to states.
Many obvious states ignored all of the above.
~ Maharashtra's deaths is 5 times that of UP. But UP population is double of Maharashtra
Let that too sink in.
Despite plans, warnings and allocations, how did oxygen shortage occur at this scale?
~ What is unearthed by @Tejasvi_Surya is that a national nexus? Imagine Congress was in power. Blackmarket rules and people die in crores
~ First huge consignment has already arrived from UK for Oxygen plants and ventilators
~ DRDO drug cleared urgently (think why DRDO is developing drugs and what that means to this pandemic = biowar)
~ Around 3400 MT liquid oxygen transported across 220 tankers and 54 'Oxygen Express' trains across the country since 19 April of which 1,427 tonnes went to Delhi
It's now paying off. World is coming to help India.
SA and Costa Rica followed India' lead and soon Biden made a U-Turn on their export stance.
Not a small achievement.
~ Since the first wave Centre asked states to decide on lockdowns locally. Why is congress asking the centre to lock down now?
~ Everyday, about 400,000 + positive cases emerge. However, about 3,97,000+ is recovered per day. This means about 3000 cases remain addition in any given day.
~ India has the highest recovery rate. Compared to last year when we had no PPE, no vaccine, no ventilators, India is in a much better place today
~ Yet, the vicious campaign is run by the vested interests
~ Did you know that an Indian Biotech start up made a breakthrough in early cancer detection during this time?
~ India accounts for 1/8th of deaths globally of tobacco use. The number for 2017 is 11 lakh deaths. This is over 5 times the death from Covid in 15 months.
Between 2014 and 2017, the incremental user number dropped by half. After @narendramodi took over.
Between 2014 and 2017, the incremental user number dropped by a third.
Source: https://t.co/TNG8RyfmMo
~ Drug use data is in addition
~ Social evils like these spread faster than Covid catching young Indians from 10 years on.
Now, let's come back to the issue in hand. Why so much of sensationalism and scaremongering by the media and the opposition?
Goal - for some, TRP, adverts, for some others, money.
I agree with one point they raised. We could have postponed elections, restricted Kumbh.
However, the people who must make much introspection is public. Why did we become complacent?
In developed countries, mask is ordered and withdrawn based on the situation.
More from Sreevidya Balasubramaniam
More from All
https://t.co/6cRR2B3jBE
Viruses and other pathogens are often studied as stand-alone entities, despite that, in nature, they mostly live in multispecies associations called biofilms—both externally and within the host.
https://t.co/FBfXhUrH5d
Microorganisms in biofilms are enclosed by an extracellular matrix that confers protection and improves survival. Previous studies have shown that viruses can secondarily colonize preexisting biofilms, and viral biofilms have also been described.
...we raise the perspective that CoVs can persistently infect bats due to their association with biofilm structures. This phenomenon potentially provides an optimal environment for nonpathogenic & well-adapted viruses to interact with the host, as well as for viral recombination.
Biofilms can also enhance virion viability in extracellular environments, such as on fomites and in aquatic sediments, allowing viral persistence and dissemination.
Viruses and other pathogens are often studied as stand-alone entities, despite that, in nature, they mostly live in multispecies associations called biofilms—both externally and within the host.
https://t.co/FBfXhUrH5d
Microorganisms in biofilms are enclosed by an extracellular matrix that confers protection and improves survival. Previous studies have shown that viruses can secondarily colonize preexisting biofilms, and viral biofilms have also been described.
...we raise the perspective that CoVs can persistently infect bats due to their association with biofilm structures. This phenomenon potentially provides an optimal environment for nonpathogenic & well-adapted viruses to interact with the host, as well as for viral recombination.
Biofilms can also enhance virion viability in extracellular environments, such as on fomites and in aquatic sediments, allowing viral persistence and dissemination.
How can we use language supervision to learn better visual representations for robotics?
Introducing Voltron: Language-Driven Representation Learning for Robotics!
Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z
🧵👇(1 / 12)
Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.
Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)
The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).
The secret is *balance* (3/12)
Starting with a masked autoencoder over frames from these video clips, make a choice:
1) Condition on language and improve our ability to reconstruct the scene.
2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)
By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.
Why is the ability to shape this balance important? (5/12)
Introducing Voltron: Language-Driven Representation Learning for Robotics!
Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z
🧵👇(1 / 12)
Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.
Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)
The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).
The secret is *balance* (3/12)
Starting with a masked autoencoder over frames from these video clips, make a choice:
1) Condition on language and improve our ability to reconstruct the scene.
2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)
By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.
Why is the ability to shape this balance important? (5/12)
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The entire discussion around Facebook’s disclosures of what happened in 2016 is very frustrating. No exec stopped any investigations, but there were a lot of heated discussions about what to publish and when.
In the spring and summer of 2016, as reported by the Times, activity we traced to GRU was reported to the FBI. This was the standard model of interaction companies used for nation-state attacks against likely US targeted.
In the Spring of 2017, after a deep dive into the Fake News phenomena, the security team wanted to publish an update that covered what we had learned. At this point, we didn’t have any advertising content or the big IRA cluster, but we did know about the GRU model.
This report when through dozens of edits as different equities were represented. I did not have any meetings with Sheryl on the paper, but I can’t speak to whether she was in the loop with my higher-ups.
In the end, the difficult question of attribution was settled by us pointing to the DNI report instead of saying Russia or GRU directly. In my pre-briefs with members of Congress, I made it clear that we believed this action was GRU.
The story doesn\u2019t say you were told not to... it says you did so without approval and they tried to obfuscate what you found. Is that true?
— Sarah Frier (@sarahfrier) November 15, 2018
In the spring and summer of 2016, as reported by the Times, activity we traced to GRU was reported to the FBI. This was the standard model of interaction companies used for nation-state attacks against likely US targeted.
In the Spring of 2017, after a deep dive into the Fake News phenomena, the security team wanted to publish an update that covered what we had learned. At this point, we didn’t have any advertising content or the big IRA cluster, but we did know about the GRU model.
This report when through dozens of edits as different equities were represented. I did not have any meetings with Sheryl on the paper, but I can’t speak to whether she was in the loop with my higher-ups.
In the end, the difficult question of attribution was settled by us pointing to the DNI report instead of saying Russia or GRU directly. In my pre-briefs with members of Congress, I made it clear that we believed this action was GRU.