Fractional electric charges have been observed at crystal defects in artificial structures - casting light on what might happen in exotic materials called topological crystalline insulators http://go.nature.com/3o3eDl2
Nature
Electrons broken into pieces at crystal defects
Fractional electric charges observed in metamaterials.
"Inference, Model Selection, and the Combinatorics of Growing Trees”
https://t.co/nfJDH4WXvh
https://t.co/7WGcFgpvYd
https://t.co/nfJDH4WXvh
https://t.co/7WGcFgpvYd
Physical Review Letters
Inference, Model Selection, and the Combinatorics of Growing Trees
One can often make inferences about a growing network from its current state alone. For example, it is generally possible to determine how a network changed over time or pick among plausible mechanisms explaining its growth. In practice, however, the extent…
شواهدی روبهروشدی نشون میدن که بدن افراد آلوده به کرونا میتونه پادتنی بسازه که به بافتهای بدن آسیب بزنه؛
There's growing evidence that SARS-CoV-2 might cause the body to generate antibodies that attack its own tissues, perhaps explaining why some get so sick or for so long. #LongCovid
https://t.co/I8w6DQeTQF
There's growing evidence that SARS-CoV-2 might cause the body to generate antibodies that attack its own tissues, perhaps explaining why some get so sick or for so long. #LongCovid
https://t.co/I8w6DQeTQF
Nature
Rogue antibodies could be driving severe COVID-19
Evidence is growing that self-attacking ‘autoantibodies’ could be the key to understanding some of the worst cases of SARS-CoV-2 infection.
Forwarded from Sitpor.org سیتپـــــور
ولفرم و پروژه فیزیک
محسن مهرانی
در قسمت پیشین گوشهای از خلاقیتهای ولفرم را باهم مرور کردیم. قصد دارم در این قسمت و قسمتهای پیش رو کمی در مورد تلاشهای او در فیزیک بنیادی برایتان بنویسم.
🔗 sitpor.org/2021/01/wolfram2/
~~~~~~
@sitpor
instagram.com/sitpor_media
~~~~~~~
محسن مهرانی
در قسمت پیشین گوشهای از خلاقیتهای ولفرم را باهم مرور کردیم. قصد دارم در این قسمت و قسمتهای پیش رو کمی در مورد تلاشهای او در فیزیک بنیادی برایتان بنویسم.
🔗 sitpor.org/2021/01/wolfram2/
@sitpor
instagram.com/sitpor_media
~~~~~~~
An estimate that there have been 105 million Americans (not the confirmed 25 million) with covid infections and why, beyond vaccination, masks and distancing will be essential to end the pandemic
https://t.co/PNcBki2Iex
https://t.co/PNcBki2Iex
Data on COVID-19 vaccination is updated: https://t.co/03pQ8rRViP
Total doses administered per 100 people:
🇮🇱 Israel 41.8 (+1.9 daily)
🇦🇪 UAE 25.1 (+0.9)
🇬🇧 UK 10.1 (+0.5)
🇧🇭 Bahrain 8.5 (+0.4)
🇺🇸 US 6.2 (+0.3)
🇲🇹 Malta 4.3 (+0.3)
🇩🇰 Denmark 3.5 (+0.1)
🇸🇮 Slovenia 2.7 (+0.1) https://t.co/0yCsV5ViHk
Total doses administered per 100 people:
🇮🇱 Israel 41.8 (+1.9 daily)
🇦🇪 UAE 25.1 (+0.9)
🇬🇧 UK 10.1 (+0.5)
🇧🇭 Bahrain 8.5 (+0.4)
🇺🇸 US 6.2 (+0.3)
🇲🇹 Malta 4.3 (+0.3)
🇩🇰 Denmark 3.5 (+0.1)
🇸🇮 Slovenia 2.7 (+0.1) https://t.co/0yCsV5ViHk
💰 Interested in the brain, and you live outside Norway? Apply to one of 16 new #PhD positions opening in computational neuroscience, bioinformatics and AI at University of Oslo! Open until March 1st!
https://www.mn.uio.no/compsci/english/
https://www.mn.uio.no/compsci/english/
If you are looking for a #PhD or #PostDoc position that starts in autumn 2021 and you are excited about developing interpretable, theory-driven NLP and ML methods to understand social and socio-technical phenomena, then ping me
https://twitter.com/clauwa/status/1353633451170213895?s=19
https://twitter.com/clauwa/status/1353633451170213895?s=19
Twitter
Claudia Wagner
If you are looking for a PhD or PostDoc position that starts in autumn 2021 and you are excited about developing interpretable, theory-driven NLP and ML methods to understand social and socio-technical phenomena, then ping me and join @gesis_org and @RWTH…
💰 Fantastic position with Lauren Hadley to study prediction in conversation - apply here https://t.co/Kg1S6tKLKf but based in Glasgow (deadline 4th Feb)
"Machine-Learning Mathematical Structures" (by Yang-Hui He): https://arxiv.org/abs/2101.06317
"We review, for a general audience, a variety of recent experiments on extracting structure from machine-learning mathematical data that have been compiled over the years."
"We review, for a general audience, a variety of recent experiments on extracting structure from machine-learning mathematical data that have been compiled over the years."
What is economic complexity? And how it is helping us understand the economy? More than a decade ago, two papers helped ignite the field.
The first comprehensive review of Economic Complexity in Nature Review Physics
https://t.co/hQTDpn9IMs
The first comprehensive review of Economic Complexity in Nature Review Physics
https://t.co/hQTDpn9IMs
The Network Pages
The math and algorithms that keep us connected
https://www.networkpages.nl/
we will publish interactive demonstrations
The math and algorithms that keep us connected
https://www.networkpages.nl/
we will publish interactive demonstrations
🎞 The Structure of Complex Networks: Scale-Free and Small-World Random Graphs - Remco van der Hofstad
https://www.aparat.com/v/gryA3
Abstract:
Many phenomena in the real world can be phrased in terms of networks. Examples include the World-Wide Web, social interactions and Internet, but also the interaction patterns between proteins, food webs and citation networks.
Many large-scale networks have, despite their diversity in backgrounds, surprisingly much in common. Many of these networks are small worlds, in the sense that one requires few links to hop between pairs of vertices. Also the variability of the number of connections between elements tends to be enormous, which is related to the scale-free phenomenon.
In this lecture for a broad audience, we describe a few real-world networks and some of their empirical properties. We also describe the effectiveness of abstract network modeling in terms of graphs and how real-world networks can be modeled, as well as how these models help us to give sense to the empirical findings. We continue by discussing some random graph models for real-world networks and their properties, as well as their merits and flaws as network models. We conclude by discussing the implications of some of the empirical findings on information diffusion and competition on such networks.
We assume no prior knowledge in graph theory, probability or otherwise.
https://www.aparat.com/v/gryA3
Abstract:
Many phenomena in the real world can be phrased in terms of networks. Examples include the World-Wide Web, social interactions and Internet, but also the interaction patterns between proteins, food webs and citation networks.
Many large-scale networks have, despite their diversity in backgrounds, surprisingly much in common. Many of these networks are small worlds, in the sense that one requires few links to hop between pairs of vertices. Also the variability of the number of connections between elements tends to be enormous, which is related to the scale-free phenomenon.
In this lecture for a broad audience, we describe a few real-world networks and some of their empirical properties. We also describe the effectiveness of abstract network modeling in terms of graphs and how real-world networks can be modeled, as well as how these models help us to give sense to the empirical findings. We continue by discussing some random graph models for real-world networks and their properties, as well as their merits and flaws as network models. We conclude by discussing the implications of some of the empirical findings on information diffusion and competition on such networks.
We assume no prior knowledge in graph theory, probability or otherwise.
آپارات - سرویس اشتراک ویدیو
The Structure of Complex Networks: Scale-Free and Small-World Random Graphs
Remco van der HofstadAbstract:Many phenomena in the real world can be phrased in terms of networks. Examples include the World-Wide Web, social interactions and Internet, but also the interaction patterns between proteins, food webs and citation networks.Many…
Scaling limits: from statistical mechanics to manifolds
September 1-3, 2021
http://www.statslab.cam.ac.uk/james60
This workshop will take James' work as a jumping-off point for an exploration of future research directions in probability. There will be 16 invited talks loosely covering the following themes:
Random growth processes and SPDEs
Yang-Mills measure
Limits of random graphs, random planar maps, and fragmentation processes
Markov chains, interacting particle systems and fluid limits
Diffusion processes and heat kernels.
September 1-3, 2021
http://www.statslab.cam.ac.uk/james60
This workshop will take James' work as a jumping-off point for an exploration of future research directions in probability. There will be 16 invited talks loosely covering the following themes:
Random growth processes and SPDEs
Yang-Mills measure
Limits of random graphs, random planar maps, and fragmentation processes
Markov chains, interacting particle systems and fluid limits
Diffusion processes and heat kernels.
Gady Kozma, Weizmann Institute
🎞 Critical and Near-Critical Percolation - 1
🎞 Critical and Near-Critical Percolation - 2
🎞 Critical and Near-Critical Percolation - 3
Video From 20ss230: Online Open Probability School
🎞 Critical and Near-Critical Percolation - 1
🎞 Critical and Near-Critical Percolation - 2
🎞 Critical and Near-Critical Percolation - 3
Video From 20ss230: Online Open Probability School
www.birs.ca
20ss230: Online Open Probability School | Banff International Research Station
Workshop at the Banff International Research Station in Banff, Alberta between May 17 and Aug 13, 2020: Online Open Probability School.
Souvik Dhara, Micrsoft Research and MIT
🎞 Critical percolation on random networks with given degrees
Files related to this video
🎞 Critical percolation on random networks with given degrees
Files related to this video
Yuval Peres, Microsoft Research
🎞 Random walks on dynamical percolation
17w5119: Stochastic Analysis and its Applications
🎞 Random walks on dynamical percolation
17w5119: Stochastic Analysis and its Applications
Remco Van der Hofstad, TU Eindhoven
🎞 Progress in high-dimensional percolation
16w5085: Random Structures in High Dimensions
🎞 Progress in high-dimensional percolation
16w5085: Random Structures in High Dimensions
Introduction to percolation theory.
Hugo Duminil-Copin
October 7, 2018
Abstract. These lecture notes present the content of a 10 hours class given for the Master 2 of Paris-Saclay.
Hugo Duminil-Copin
October 7, 2018
Abstract. These lecture notes present the content of a 10 hours class given for the Master 2 of Paris-Saclay.
🎞 Hugo Duminil-Copin - Sharp threshold phenomena in Statistical Physics
In this course, we will present different techniques developed over the past few years, enabling mathematicians to prove that phase transitions are sharp. We will focus on a few classical models of statistical physics, including Bernoulli percolation, the Ising model and the random-cluster model.
Organisé par Emmanuel Ullmo
Mars/avril 2017
In this course, we will present different techniques developed over the past few years, enabling mathematicians to prove that phase transitions are sharp. We will focus on a few classical models of statistical physics, including Bernoulli percolation, the Ising model and the random-cluster model.
Organisé par Emmanuel Ullmo
Mars/avril 2017
YouTube
Hugo Duminil-Copin - Sharp threshold phenomena in Statistical Physics - YouTube