💉 Can you spread Covid-19 if you get the vaccine?

The reason we don’t know if the vaccine can prevent transmission is twofold. One reason is practical. The first order of business for vaccines is preventing exposed individuals from getting sick, so that’s what the clinical trials for Covid-19 shots were designed to determine. We simply don’t have public health data to answer the question of transmission yet.

The second reason is immunological. From a scientific perspective, there are a lot of complex questions about how the vaccine generates antibodies in the body that haven’t yet been studied. Scientists are still eager to explore these immunological rabbit holes, but it could take years to reach the bottom of them.

To prevent Covid-19 transmission, another type of antibodies could be the more important player. The immune system that patrols your outward-facing mucosal surfaces—spaces like the nose, the throat, the lungs, and digestive tract—relies on immunoglobulin A, or IgA antibodies. And we don’t yet know how well existing vaccines incite IgA antibodies.

People who get sick and recover from Covid-19 produce a ton of these more-specialized IgA antibodies. Because IgA antibodies occupy the same respiratory tract surfaces involved in transmitting SARS-CoV-2, we could reasonably expect that people who recover from Covid-19 aren’t spreading the virus any more. (Granted, this may also depend on how much of the virus that person was exposed to.)

But we don’t know if people who have IgG antibodies from the vaccine are stopping the virus in our respiratory tracts in the same way. And even if we did, scientists still don’t know how much of the SARS-CoV-2 virus it takes to cause a new infection. So even if we understood how well a vaccine worked to prevent a virus from replicating along the upper respiratory tract, it’d be extremely difficult to tell if that would mean a person couldn’t transmit the disease.

Announcing the 2021 Summer Institutes in Computational Social Science. #SICSS is for grad students, post-docs & beginning faculty. Free for participants.

https://t.co/wolhtZIMc5

Some mostly-tongue-in-cheek solution to the Fermi Paradox: the aliens are out there, but they look like black body radiators, because they're really smart and encode their communication optimally: https://t.co/YwkRAIpnPZ

💰Interesting in doing a #PhD on immune system networks: https://t.co/a0vx7Nojth ?

Two Doctoral studentship (DPhil) opportunities in Mathematics, University of Oxford.
Closing Date:
Friday, March 5, 2021 - 12:00

Modelling Cytokine Interactions: simulating network dynamics under uncertainty for cytokine targeting treatments of auto-immune and inflammatory diseases (code CKGSK)

AND

Network stability in auto-immune diseases (code STABI)

Applications are invited for two 4 year D.Phil. iCASE Studentships in Mathematics, funded by GlaxoSmithKline and the EPSRC.

💰 Great opportunity to work as a junior researcher (ideally pre-PhD) at ISI. You will work for 1 year on data science applied to different projects with social impact. Competitive salary. You must take legal residency in Piedmont to accept the scholarship. Apply!

https://www.isi.it/en/lagrange-project/scholarships

💡 Ten simple rules for tackling your first mathematical models: A guide for graduate students by graduate students

https://t.co/znbENQbAXJ

If you are analysing #networks and would like to use #community #detection algorithms (at least >50 of them are available) in an #standard and comparable way, have a look at #CDlib library in Python presented in this paper: https://t.co/kxnQKO3bwq

💉 The idea of using RNA in vaccines has been around for nearly three decades. But it's taken the pandemic to thrust RNA vaccines into the limelight.

https://www.nature.com/articles/d41586-021-00019-w

💰 paid #ComputationalSocialScience summer internship doing text analysis of short-form online identity expression

https://t.co/4WXoRrIYNV

Winter School "Ethics and Neuroscience" 2021

https://www.bccn-berlin.de/events-list/winter-school-ethics-and-neuroscience-2021.html

Introduction to Inference

https://koaning.io/posts/introduction-to-inference/

✅ پخش زنده سخنرانی‌های عمومی یازدهمین کنفرانس فیزیک آماری، ماده چگال نرم و سیستم‌های پیچیده

#اخبار_انجمن_فیزیک_ایران

یازدهمین کنفرانس فیزیک آماری، ماده چگال نرم و سیستم‌های پیچیده فردا چهارشنبه اول بهمن و پس فردا پنجشنبه دوم بهمن ماه ۱۳۹۹ به صورت برخط (Online) برگزار خواهد شد.سخنرانی‌های عمومی این کنفرانس از طریق دو نشانی زیر برای عموم به صورت زنده پخش خواهد شد: www.psi.ir/livewww.aparat.com/socialpsi/live برای مشاهده ...

📣 متن کامل را در Instant View ⚡️ (دکمه پایین صفحه) و یا در وب‌گاه انجمن فیزیک ایران بخوانید:
🚩http://www.psi.ir/اخبار_3292_پخش_زنده_سخنرانی_های_عمومی_یازدهمین_کنفرانس_فیزیک_آماری_ماده_چگال_نرم_و_سیستم_های_پیچیده

⏪ وب‌گاه انجمن فیزیک ایران:
🌍 http://www.psi.ir

✅ به کانال خبرى انجمن فیزیک ايران بپيوندید:
👇👇🏽👇👇🏽👇👇🏽👇
http://t.me/psinews

Are you interested in applying to ICTP Postgraduate #Diploma Programme and get the best preparation for your #PhD research? The #deadline has been extended!

Apply by 15 February 2021 👉 https://t.co/sVlE17u34T

🐠 Collective motion, self-organization, artificial intelligence, ... do you think this is complex enough? Swarms of robotic fish can synchronize their swimming, for the first time

https://t.co/RbqxIm4EDe

Overview of free data sources for Wikipedia research - dumps, APIs, public database access, datasets etc.

https://meta.wikimedia.org/wiki/Research:Data

Free lessons on using Python for Digital Humanities, ranging from introductory lessons to Python to social networks to text analysis with Natural Language Processing.

https://www.youtube.com/pythontutorialsfordigitalhumanities

#digitalhistory #digitalhumanities #textanalysis #pythonfordh #pythonhumanities #python

💰 Want to study Computational Cancer Biology in a historic town near Boston? I'm looking for #PhD students for a position this fall https://rdmelamed.github.io/join

The Workshop on #Stochastic #Thermodynamics returns this May 17-21 to explore applications to #Physics, #Chemistry, #Biophysics, #InformationProcessing, #QuantumComputing, and more.

View program info, register, and submit abstracts:
https://wiki.santafe.edu/index.php/Stoc

🎞 The Hitchhiker's Guide to Condensed Matter and Statistical Physics: Machine Learning for Condensed Matter

https://youtu.be/X9RE0ursBSo

This online school is the first in a series of events to be held during 2021 under the joint noscript “The Hitchhiker's Guide to Condensed Matter and Statistical Physics” whose goal is to sketch a roadmap of current exciting research directions in Condensed Matter and Statistical Physics.

These events are aimed at advanced undergraduate and graduate students, as well as young researchers interested in learning more about different subjects, both from the developing world and elsewhere.

The lectures will be held once a week over 4 weeks in January and February 2021 and will lead the students from basic notions to the open problems in each topic. Each week one of the four lecturers will present 1h of basic notions + 1h of a colloquia style lecture, with ample time for discussions.

The first series of lectures will be dedicated to Machine Learning (ML) and its intersections with Condensed Matter and Statistical Physics. How can statistical physics help in understanding the theory behind ML techniques? What are the most fruitful applications of ML methods to condensed matter physics? The lectures will answer these and other questions related to ML and many-body quantum systems, quantum computing, and material physics.

Ten computer codes that transformed science

From Fortran to arXiv.org, these advances in programming and platforms sent biology, climate science and physics into warp speed.

https://www.nature.com/articles/d41586-021-00075-2