از آقای Jarzynski، درس‌گفتارها ویدیوهای کلاس فیزیک آماری غیرتعادلی در نشانی زیر وجود دارد:

Introduction to Nonequilibrium Statistical Physics
C. Jarzynski, Spring 2020

Analysis and microscopic modeling of systems away from thermal equilibrium. Linear response theory, ergodicity, Brownian motion, Monte Carlo modeling, thermal ratchets, far-from-equilibrium fluctuation relations. Introduction to the theoretical tools of nonequilibrium phenomena and their application to problems in physics, chemistry and biology.

tqdm: A fast, extensible progress bar

Instantly make your loops show a smart progress meter - just wrap any iterable with tqdm(iterable), and you're done!

https://tqdm.github.io/

Behavior change in economic and epidemic models

https://www.marcopangallo.it/blog/2020/07/13/behavior-change-in-economic-and-epidemic-models/

This post is for epidemiologists to understand what economists mean when they say that epidemic models should be “forward-looking”. And it is for economists to try and persuade them that incorporating behavior change in an “ad-hoc” fashion is just fine. I argue that all differences boil down to the type of mathematics that the two disciplines typically use – economists are used to “fixed-point mathematics”, epidemiologists to “recursive mathematics”. All in all, behavior change is incorporated by default in economic models, although in a highly unrealistic way; on the contrary, epidemiologists need to remind themselves to explicitly introduce behavior change, but when they do so they have the flexibility to make it much more realistic.

💉 15 July — Positive trial results raise hopes for a top vaccine candidate

https://www.nature.com/articles/d41586-020-00502-w?utm_source=twt_nnc&utm_medium=social&utm_campaign=naturenews&sf236003714=1

A leading COVID-19 vaccine candidate generates an immune response against the virus and causes few side effects, according to preliminary data from a phase I safety study with 45 participants.

The vaccine is being co-developed by Moderna in Cambridge, Massachusetts, and the US National Institute of Allergy and Infectious Diseases. It consists of RNA instructions that prompt human cells to make the virus’s spike protein, generating an immune response

Most side effects were mild, although three participants who got the highest dose experienced worse complications, such as a high fever.

After the injections, all participants produced immune proteins called antibodies capable of recognizing the SARS-CoV-2 virus, as well as ‘neutralizing antibodies’ that can block infection. A 30,000-participant phase III trial to test whether the vaccine can prevent COVID-19 is set to begin in late July.

In this session of Andreas Lauschke's #DataScience with #Mathematica series, he provides an introduction to Dynamic Programming for the data scientist. Watch the video, consisting of theory and illustrative examples, here:

https://youtu.be/MZnOL17CHdY

How does individual cognition influence collective behavior?

https://t.co/0ref9WD08Q https://t.co/OAesHffzcJ

https://www.pnas.org/content/early/2020/07/14/1920554117

💡 https://www.quantamagazine.org/what-is-an-individual-biology-seeks-clues-in-information-theory-20200716/

Simplicial complexes and dynamics - G. Bianconi - SIFS Colloquium https://t.co/S6ZWDGgy58

💉 https://twitter.com/UniofOxford/status/1285210154984710145?s=19

چهارشنبه ساعت۱۸:۳۰ به وقت تهران

What don’t we know about #machinelearning? Dive in with this Joint ICTP-SISSA Online Colloquium tomorrow, 22 July, at 16:00 CET!

Here’s all the info & how to join in 🎥 https://t.co/6VxNZLoy69

The Unreasonable Effectiveness of Mathematics in the Natural Sciences is an essay about mathematical concepts and their applicability written by Nobel Prize winning physicist Eugene Wigner.

It's a great read: https://t.co/7Vivp1iQaH

A great paper for your summer reading list 📚 https://t.co/4AYy4AZI9k

We have several frontend engineer positions open.
We'd prefer to get at least one senior, but if you feel you are more a mid-level you're also welcome :)

https://careers.deliveryhero.com/global/en/job/JR0000628/Senior-Frontend-Engineer-Marketing-Tech-f-m-d

#deliveryhero #frontend #javascript #berlin

🎞 Football is becoming boring? A Network Science Approach by Taha Yasseri at IC2S2 2020.

https://youtu.be/oQRxOGdQ2Fw

Pre-print: Maimone, V. M., & Yasseri, T. (2019). Football is becoming boring; Network analysis of 88 thousands matches in 11 major leagues. arXiv preprint arXiv:1908.08991.

Controlling a complex system near its critical point via temporal correlations

https://www.nature.com/articles/s41598-020-69154-0

Here we test whether the time correlation properties allow systems exhibiting a phase transition to self-tune to their critical point. We describe results in three models: the 2D Ising ferromagnetic model, the 3D Vicsek flocking model and a small-world neuronal network model. We demonstrate that feedback from the autocorrelation function of the order parameter fluctuations shifts the system towards its critical point.

🛠 JuliaCon 2020 https://t.co/ueQZfLoI8L

JuliaCon tutorials start today.

"Julia has become the fastest-growing language for computational science, and many of the top numerical researchers recently adopted it and joined the worldwide collaboration."

Doing Scientific Machine Learning (SciML) With Julia

07/26/2020, 5:00 PM — 8:30 PM GMT+3
Chris Rackauckas

Scientific machine learning combines differentiable programming, scientific simulation (differential equations, nonlinear solvers, etc.), and machine learning (deep learning) in order impose physical constraints on machine learning and automatically learn biological models. Given the composibility of Julia, many have noted that it is positioned as the best language for this set of numerical techniques, but how to do actually "do" SciML? This workshop gets your hands dirty.

🔴 مدرسه تابستانی هوش مصنوعی
🔵 پژوهشگاه دانش‌های بنیادی
⏱ مهلت ثبت‌نام: ۲۶ ژوئیه

https://cs.ipm.ac.ir/asoc2020/

🆑 ipmturin
🆔 turin.ipm.ir

Can A.I. make music? Can it feel excitement and fear? Is it alive? Will.i.am and Mark Sagar push the limits of what a machine can do. How far is too far, and how much further can we go?

https://youtu.be/UwsrzCVZAb8