Vaccine developers who have already reported promising phase III trial results against COVID-19 estimate that, between them, they can make sufficient doses for more than one-third of the world’s population by the end of 2021. But many people in low-income countries might have to wait until 2023 or 2024 for vaccination, according to estimates from the Duke Global Health Innovation Center in Durham, North Carolina.
https://www.nature.com/articles/d41586-020-03370-6
https://www.nature.com/articles/d41586-020-03370-6
💰 Our lab has openings for #PhD students and postdocs; if you are interested in interfacial flows, pattern formation, and soft matter, feel free to reach out via email; the application deadline is Dec. 15th (https://t.co/gGoqHjvxX0)
When Will an Elevator Arrive?
Zhijie Feng, S. Redner
Download PDF
We present and analyze a minimalist model for the vertical transport of people in a tall building by elevators. We focus on start-of-day operation in which people arrive at the ground floor of the building at a fixed rate. When an elevator arrives on the ground floor, passengers enter until the elevator capacity is reached, and then they are transported to their destination floors. We determine the distribution of times that each person waits until an elevator arrives, the number of people waiting for elevators, and transition to synchrony for multiple elevators when the arrival rate of people is sufficiently large. We validate many of our predictions by event-driven simulations.
Zhijie Feng, S. Redner
Download PDF
We present and analyze a minimalist model for the vertical transport of people in a tall building by elevators. We focus on start-of-day operation in which people arrive at the ground floor of the building at a fixed rate. When an elevator arrives on the ground floor, passengers enter until the elevator capacity is reached, and then they are transported to their destination floors. We determine the distribution of times that each person waits until an elevator arrives, the number of people waiting for elevators, and transition to synchrony for multiple elevators when the arrival rate of people is sufficiently large. We validate many of our predictions by event-driven simulations.
🦠 lockdown effects on mobility in Germany.
COVID-19 lockdown induces disease-mitigating structural changes in mobility networks
https://t.co/oSIjgwde8n
COVID-19 lockdown induces disease-mitigating structural changes in mobility networks
https://t.co/oSIjgwde8n
Finally an easy-to-use, extensive and fast Graph Neural Network library in JAX! Fully compatible with NN libraries such as Flax and Haiku: https://t.co/olZPD5DEz0
Jupyter Book has a gallery! Go find some inspiration here:
https://t.co/zCXso00S2i
or suggest an addition here:
https://t.co/yy4Y6ByJTH
https://t.co/zCXso00S2i
or suggest an addition here:
https://t.co/yy4Y6ByJTH
💉 How Moderna’s Vaccine Works?!
Read this for an example of good science communication. Clear words, simple sentences, coherently organized, and well tied to minimalist graphics appearing in just the right places.
https://t.co/SKLZtx3Bnb
Read this for an example of good science communication. Clear words, simple sentences, coherently organized, and well tied to minimalist graphics appearing in just the right places.
https://t.co/SKLZtx3Bnb
Nytimes
How Moderna’s Vaccine Works
Two shots can prime the immune system to fight the coronavirus.
Forwarded from Complex Networks (SBU)
💰 Interested in combining deep learning and epidemiology? We have an interesting opening for a #PhD candidate in the group of @jaakkolehtinen @AaltoUniversity @FCAI_fi. This is a joint position together with the group of @andganna at @FIMM_UH. Please share! https://t.co/3BWm31qDSF
Few scientists are trained in how to write a review — here are some tips:
https://www.nature.com/articles/d41586-020-03422-x
https://www.nature.com/articles/d41586-020-03422-x
Nature
How to write a superb literature review
Nature - Nature speaks to old hands and first timers about the work they did to make their reviews sing.
💉 UK hospitals start vaccinating tomorrow
Doses of the Pfizer—BioNTech vaccine have begun to arrive in UK hospitals after it received emergency authorization last week. The first shots will be given to people over age 80, starting tomorrow. Care-home residents had been designated as a top priority to receive the jab, but health authorities are still exploring how to distribute the vaccine outside hospitals because it comes in deep-frozen packs containing 975 doses that must be stored at –70 ℃ .
Doses of the Pfizer—BioNTech vaccine have begun to arrive in UK hospitals after it received emergency authorization last week. The first shots will be given to people over age 80, starting tomorrow. Care-home residents had been designated as a top priority to receive the jab, but health authorities are still exploring how to distribute the vaccine outside hospitals because it comes in deep-frozen packs containing 975 doses that must be stored at –70 ℃ .
the Guardian
Covid vaccine arrives in UK hospitals ready for first jabs
Medical director warns of great hurdles in largest vaccination campaign in UK history
Degree difference: a simple measure to characterize structural heterogeneity in complex networks
Amirhossein Farzam, Areejit Samal & Jürgen Jost
https://www.nature.com/articles/s41598-020-78336-9
Abstract
Despite the growing interest in characterizing the local geometry leading to the global topology of networks, our understanding of the local structure of complex networks, especially real-world networks, is still incomplete. Here, we analyze a simple, elegant yet underexplored measure, ‘degree difference’ (DD) between vertices of an edge, to understand the local network geometry. We describe the connection between DD and global assortativity of the network from both formal and conceptual perspective, and show that DD can reveal structural properties that are not obtained from other such measures in network science. Typically, edges with different DD play different structural roles and the DD distribution is an important network signature. Notably, DD is the basic unit of assortativity. We provide an explanation as to why DD can characterize structural heterogeneity in mixing patterns unlike global assortativity and local node assortativity. By analyzing synthetic and real networks, we show that DD distribution can be used to distinguish between different types of networks including those networks that cannot be easily distinguished using degree sequence and global assortativity. Moreover, we show DD to be an indicator for topological robustness of scale-free networks. Overall, DD is a local measure that is simple to define, easy to evaluate, and that reveals structural properties of networks not readily seen from other measures.
Amirhossein Farzam, Areejit Samal & Jürgen Jost
https://www.nature.com/articles/s41598-020-78336-9
Abstract
Despite the growing interest in characterizing the local geometry leading to the global topology of networks, our understanding of the local structure of complex networks, especially real-world networks, is still incomplete. Here, we analyze a simple, elegant yet underexplored measure, ‘degree difference’ (DD) between vertices of an edge, to understand the local network geometry. We describe the connection between DD and global assortativity of the network from both formal and conceptual perspective, and show that DD can reveal structural properties that are not obtained from other such measures in network science. Typically, edges with different DD play different structural roles and the DD distribution is an important network signature. Notably, DD is the basic unit of assortativity. We provide an explanation as to why DD can characterize structural heterogeneity in mixing patterns unlike global assortativity and local node assortativity. By analyzing synthetic and real networks, we show that DD distribution can be used to distinguish between different types of networks including those networks that cannot be easily distinguished using degree sequence and global assortativity. Moreover, we show DD to be an indicator for topological robustness of scale-free networks. Overall, DD is a local measure that is simple to define, easy to evaluate, and that reveals structural properties of networks not readily seen from other measures.
Nature
Degree difference: a simple measure to characterize structural heterogeneity in complex networks
Scientific Reports - Degree difference: a simple measure to characterize structural heterogeneity in complex networks
Forwarded from Complex Networks (SBU)
🧶 تمدید مهلت ارسال مقاله به یازدهمین کنفرانس فیزیک آماری، ماده چگال نرم و سیستمهای پیچیده ۱۳۹۹
یازدهمین کنفرانس فیزیک آماری، ماده چگال نرم و سیستمهای پیچیده که قرار بود فروردین ماه ۱۳۹۹ برگزار شود و به منظور پیشگیری از انتشار ویروس کرونا به تعویق افتاد. ۱ و ۲ بهمن ماه ۱۳۹۹ با همکاری دانشگاه شهیدبهشتی و به صورت برخط (Online) برگزار خواهد شد.
بنابراین مهلت ارسال مقاله تا ۱۰ دی ماه تمدید شد.
اطلاعات بیشتر در نشانی زیر:
www.psi.ir/f/smc99
@ccnsd
یازدهمین کنفرانس فیزیک آماری، ماده چگال نرم و سیستمهای پیچیده که قرار بود فروردین ماه ۱۳۹۹ برگزار شود و به منظور پیشگیری از انتشار ویروس کرونا به تعویق افتاد. ۱ و ۲ بهمن ماه ۱۳۹۹ با همکاری دانشگاه شهیدبهشتی و به صورت برخط (Online) برگزار خواهد شد.
بنابراین مهلت ارسال مقاله تا ۱۰ دی ماه تمدید شد.
اطلاعات بیشتر در نشانی زیر:
www.psi.ir/f/smc99
@ccnsd
Network effect: visualizing AI connections in the natural sciences
https://www.nature.com/articles/d41586-020-03410-1
https://www.nature.com/articles/d41586-020-03410-1
Nature
Network effect: visualizing AI connections in the natural sciences
Collaborations on AI-related papers in journals tracked by the Nature Index reveal country strengths.