Did we get dietary saturated fats all wrong? The #HADLmodel provides a new understanding and an opportunity to get it right. THREAD👇👇👇
@simondankel @kariannesve

The Nature versus Nurture is a debate about scientific doctrine. It is a debate about the correct way of explanation for cognition.

The Representation versus Non-Representation shares the same debate. It is also about the correct way of explanation for cognition.

It is also the difference between thinking in nouns versus thinking in verbs. Nature and Representation have deep roots in Western thinking. It is a functionalist and reductionist way of thinking that meets its limits when analyzing complex adaptive systems.

It is perhaps due to this Western bias that concepts from the study of complex systems have had little traction in modern society. It is of course, more than a Western bias, but a human bias to seek out simple causal explanations of this world.

But the world is complex and messy. Spiral dynamics which is an evolutionary model of individuals and society explains how models of the world shape ourselves and our civilization.

The number 666 relates to the carbon atom, and man. Carbon-12; one of 5 elements in the human DNA is composed of 6 protons, 6 electrons and 6 neutrons, which equates to 666. 
.@realDonaldTrump
.@GenFlynn
.@RudyGiuliani

Did you know that all the nuclear bombs we exploded in the '40s-50s-60s have permanently contaminated all the steel the world has produced since then? All steel in the world is divided into two categories: pre-1945 non-contaminated steel, and post-1945 contaminated steel.

How?

Nuclear bombs (including the tests) create a lot of radioisotopes that are not found in nature. For example Cobalt-60 (a radioactive version of Cobalt-59). And since the 1945 Trinity test, these have all dispersed in the atmosphere.

What does this have to do with steel?

The process of manufacturing steel uses atmospheric air (or atmospheric oxygen). Some of the radioisotopes like Cobalt-60 get pulled in too, and as a result, any steel produced after 1945 has embedded in it some of these radioisotopes, sitting there emitting gamma rays.

Why do we care about traces of radioisotopes in steel? When making Geiger counters, or medical devices to check for radioactive contamination, or astronomical instruments, the emissions from the contaminated steel would interfere with the measurements.

So we need pre-1945 steel

Pre-1945 non-contaminated steel is called "low background steel". And when we need it, where do we get it from?

We go, find pre-World-War-II sunken shipwrecks, and then salvage the steel (and lead) from those to build our instruments which need heavy radiation shielding.

Solara Active Pharma Science con call was today at 3:30 PM.

@Gautam__Baid @unseenvalue @drprashantmish6 @rdkriplani

Here are the key takeaways of the call. 👇🧵

Business Updates:

• Speed of filing products has been increased. Filed 5 new DMFs – 3 in US and 2 in EU
• Currently ramping up the facility in VIZAG with strong customer attraction, and will be commercialized as planned in Q3
• VIZAG EBIDTA growth guidance changed to 40%+ YoY

• Growth Driver: Broad based growth in other products and Vizag.

• PLI: Company has filed Mysore for PLI scheme for 1 molecule.

• Technology: Company is about to complete its 2 out of 3 technology, which will enhance efficiency for Solara.

Demand in some of sectors is moderated:
• Mgmt expected moderation in demand, hence company has taken necessary steps for those products.

Gross Margins:
• It was down a bit due to product mix however.

Fiscal 2022:
• Solara has grown in regulated market space.
• Vizag will kick in. CRAMS will support tailwind.
• Most of the CRAMS is commercial API.

• Most of the product is expected to be stable both in term of demand and price in the coming few quarter

Ct values can be used to estimate epidemic dynamics UPDATE! Ct values are expected to change depending on whether the epidemic is growing or declining, and we harness this to estimate the epidemic trajectory. Lots of cool new analyses and methods!

Highlights:
- Cts from symptom-based surveillance change over time, but the effect is weaker
- Methods to infer incidence using single cross-sections of Cts
- Unbiased by changing testing coverage
- Gaussian process (wiggly line) model for incidence tracking using Ct values
2/12

This work is *JOINTLY led* with @LeekShaffer and PI’d by @michaelmina_lab. Thank you also to the ever insightful @mlipsitch and to coauthors @SanjatKanjilal @gabriel_stacey and @nialljlennon. 3/12

Premise: times since infection depend on the epidemic trajectory. Distributions of randomly sampled viral loads proxy times since infection. With calibration, Ct values can estimate growth rate. We focus on qPCR in SARS-CoV-2, but the principle applies to any outbreak. 4/12

Result 1: viral loads are shifted higher (Cts lower) during epidemic growth and lower (Cts higher) during decline when individuals are sampled *based on the onset of symptoms*. We simulated linelist data under symptom-based surveillance and looked at TSI and Cts over time. 5/12