Forwarded from Sitpor.org سیتپـــــور
سخنرانیهای عمومی برخط دانشکده فیزیک بهشتی
🦠 علم شبکه و مدلسازی پخش بیماری در حضور مداخلهها (۱۵:۰۰)
📼 قوس داستانی و خمهای عاطفی در قصهها (۱۶:۰۰)
چهارشنبه ۲ اسفند ۴۰۲ ساعت ۱۵:۰۰
عباس ریزی — دانشگاه آلتو، فنلاند
شرکت برای همه از طریق این پیوند آزاد و رایگان است:
🔗 meet.google.com/whe-obvb-ger
----------------------------------------------
@sitpor | sitpor.org
instagram.com/sitpor_media
#سیتپـــــور به خاطر روایتگری در علم
🦠 علم شبکه و مدلسازی پخش بیماری در حضور مداخلهها (۱۵:۰۰)
📼 قوس داستانی و خمهای عاطفی در قصهها (۱۶:۰۰)
چهارشنبه ۲ اسفند ۴۰۲ ساعت ۱۵:۰۰
عباس ریزی — دانشگاه آلتو، فنلاند
شرکت برای همه از طریق این پیوند آزاد و رایگان است:
🔗 meet.google.com/whe-obvb-ger
----------------------------------------------
@sitpor | sitpor.org
instagram.com/sitpor_media
#سیتپـــــور به خاطر روایتگری در علم
👍6👎2
DAMUT Colloquium | 28 Feb, 2024, 12:45 to 13:15
Department of Applied Mathematics, University of Twente (UT)
Consequences of Social Network Structure for Epidemic Interventions
Abbas K. Rizi (Aalto University)
Abstract:
The COVID-19 pandemic has highlighted gaps in our understanding of how epidemics spread and the limitations of simple models in real-world scenarios, particularly when it comes to understanding herd immunity. In this presentation, we will focus on how the structure of contact networks affects the spread of disease and the effectiveness of interventions. We will explore the impact of pharmaceutical interventions, such as vaccination, and non-pharmaceutical measures, like contact tracing, on the trajectory of epidemics. We will consider factors such as behavior-based homophily, group structures, spatial characteristics, and the heterogeneities of contact networks. Additionally, we will introduce an advanced theoretical framework for analyzing temporal dynamics in networks, which is crucial for understanding how diseases spread, how information is disseminated, and how public transportation systems are accessed over time. Finally, we will connect the concept of temporal network reachability with percolation theory, a significant concept in studying complex systems.
https://www.utwente.nl/en/eemcs/damut/damutcolloquium/
Department of Applied Mathematics, University of Twente (UT)
Consequences of Social Network Structure for Epidemic Interventions
Abbas K. Rizi (Aalto University)
Abstract:
The COVID-19 pandemic has highlighted gaps in our understanding of how epidemics spread and the limitations of simple models in real-world scenarios, particularly when it comes to understanding herd immunity. In this presentation, we will focus on how the structure of contact networks affects the spread of disease and the effectiveness of interventions. We will explore the impact of pharmaceutical interventions, such as vaccination, and non-pharmaceutical measures, like contact tracing, on the trajectory of epidemics. We will consider factors such as behavior-based homophily, group structures, spatial characteristics, and the heterogeneities of contact networks. Additionally, we will introduce an advanced theoretical framework for analyzing temporal dynamics in networks, which is crucial for understanding how diseases spread, how information is disseminated, and how public transportation systems are accessed over time. Finally, we will connect the concept of temporal network reachability with percolation theory, a significant concept in studying complex systems.
https://www.utwente.nl/en/eemcs/damut/damutcolloquium/
Universiteit Twente
DAMUT
👍1
Configuration models for random directed hypergraphs
Yanna J. Kraakman, Clara Stegehuis
Many complex systems show non-pairwise interactions, which can be captured by hypergraphs. In this work, we establish configuration models in which both the vertex and the hyperarc degrees are preserved for different classes of directed hypergraphs (containing self-loops, degenerate hyperarcs and/or multiple hyperarcs). We propose an edge-swapping method to uniformly sample from these configuration models and prove that this method indeed samples uniformly from the classes with self-loops and multiple hyperarcs, and that the method does not sample uniformly from classes without self-loops, or with self-loops and degenerate hyperarcs but without multiple hyperarcs. We present a partial result on the class with self-loops, but without degenerate hyperarcs or multiple hyperarcs.
https://arxiv.org/abs/2402.06466
Yanna J. Kraakman, Clara Stegehuis
Many complex systems show non-pairwise interactions, which can be captured by hypergraphs. In this work, we establish configuration models in which both the vertex and the hyperarc degrees are preserved for different classes of directed hypergraphs (containing self-loops, degenerate hyperarcs and/or multiple hyperarcs). We propose an edge-swapping method to uniformly sample from these configuration models and prove that this method indeed samples uniformly from the classes with self-loops and multiple hyperarcs, and that the method does not sample uniformly from classes without self-loops, or with self-loops and degenerate hyperarcs but without multiple hyperarcs. We present a partial result on the class with self-loops, but without degenerate hyperarcs or multiple hyperarcs.
https://arxiv.org/abs/2402.06466
arXiv.org
Configuration models for random directed hypergraphs
Many complex systems show non-pairwise interactions, which can be captured by hypergraphs. In this work, we establish configuration models in which both the vertex and the hyperarc degrees are...
👍3
Interested in network dynamical systems with higher-order interactions? Apply for a #PhD at the Vrije Universiteit Amsterdam
https://workingat.vu.nl/vacancies/beyondtheedge-phd-position-in-network-dynamical-systems-amsterdam-1059512
https://workingat.vu.nl/vacancies/beyondtheedge-phd-position-in-network-dynamical-systems-amsterdam-1059512
workingat.vu.nl
Vacancy — BeyondTheEdge PhD Position in Network Dynamical Systems
Do you have an inquisitive mind and a passion for mathematics and statistics? Please apply for a PhD position at Vrije Universiteit Amsterdam.
👍4
Forwarded from Sitpor.org سیتپـــــور
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قوس داستانی و خمهای عاطفی در قصهها
کِرْت وانهگت، نویسنده فقید آمریکایی، معتقد بود که تمام داستانها را میتوان بر اساس شکل روایی و قوس داستانی آنها به دستههای انگشتشماری طبقهبندی کرد. این ادعا سالها بعد به صورت کمی راستیآزمایی شد. در این ارائه ابتدا ادبیات داستانپردازی محاسباتی را مرور میکنیم. سپس نشان میدهیم که سریالهای ترکی در سالهای گذشته عمدتا چه نوع قوس داستانی داشتهاند و کم و کیف موفقیتشان در گیشه چگونه بوده است.
📃 اسلایدها
🎙فایل صوتی
🎞 ویدیو در یوتیوب
----------------------------------------------
@sitpor | sitpor.org
instagram.com/sitpor_media
#سیتپـــــور به خاطر روایتگری در علم
کِرْت وانهگت، نویسنده فقید آمریکایی، معتقد بود که تمام داستانها را میتوان بر اساس شکل روایی و قوس داستانی آنها به دستههای انگشتشماری طبقهبندی کرد. این ادعا سالها بعد به صورت کمی راستیآزمایی شد. در این ارائه ابتدا ادبیات داستانپردازی محاسباتی را مرور میکنیم. سپس نشان میدهیم که سریالهای ترکی در سالهای گذشته عمدتا چه نوع قوس داستانی داشتهاند و کم و کیف موفقیتشان در گیشه چگونه بوده است.
📃 اسلایدها
🎙فایل صوتی
🎞 ویدیو در یوتیوب
----------------------------------------------
@sitpor | sitpor.org
instagram.com/sitpor_media
#سیتپـــــور به خاطر روایتگری در علم
👍6👎2
Forwarded from انجمن علمی فیزیک دانشگاه شیراز
🔻 انجمن علمی فیزیک دانشگاه شیراز برگزار میکند:
📌 چهارمین مدرسه زمستانی فیزیک آماری و سامانههای پیچیده
🎙 باحضور:
دکتر افشین منتخب
دکتر فرهاد شهبازی
دکتر محسن قاسمینژاد
دکتر ابوالفضل رمضانپور
زمان برگزاری: پنج شنبه ۱۷ اسفندماه
ساعت ۹ الی ۱۷:۳۰
📍 محل برگزاری: سالن کنفرانس بخش فیزیک
🔊مخاطبان: دانشجویان، اساتید و فارغ التحصیلان رشتههای ریاضی، فیزیک، علوم کامپیوتر و رشته های مرتبط و دیگر علاقهمندان.
❗️ به همراه پذیرایی و ناهار
⭕️ علاقهمندان محترم جهت کسب اطلاعات بیشتر و ثبتنام، میتوانند کد درج شده در پوستر را اسکن، و یا از طریق لینک زیر اطلاعات لازم را دریافت کنند:
https://evnd.co/EsEAw
@ShirazUPhysics 💡
📌 چهارمین مدرسه زمستانی فیزیک آماری و سامانههای پیچیده
🎙 باحضور:
دکتر افشین منتخب
دکتر فرهاد شهبازی
دکتر محسن قاسمینژاد
دکتر ابوالفضل رمضانپور
زمان برگزاری: پنج شنبه ۱۷ اسفندماه
ساعت ۹ الی ۱۷:۳۰
📍 محل برگزاری: سالن کنفرانس بخش فیزیک
🔊مخاطبان: دانشجویان، اساتید و فارغ التحصیلان رشتههای ریاضی، فیزیک، علوم کامپیوتر و رشته های مرتبط و دیگر علاقهمندان.
❗️ به همراه پذیرایی و ناهار
⭕️ علاقهمندان محترم جهت کسب اطلاعات بیشتر و ثبتنام، میتوانند کد درج شده در پوستر را اسکن، و یا از طریق لینک زیر اطلاعات لازم را دریافت کنند:
https://evnd.co/EsEAw
@ShirazUPhysics 💡
#PhD Scholarship in Network Science
https://www.jobs.ac.uk/job/DGH718/northeastern-university-london-fully-funded-phd-scholarship-network-and-data-science-to-model-the-behaviour-of-complex-systems-of-human-and-non-human-social-animals
Deadline: 1 April 2024
Start date: 1 October 2024
https://www.jobs.ac.uk/job/DGH718/northeastern-university-london-fully-funded-phd-scholarship-network-and-data-science-to-model-the-behaviour-of-complex-systems-of-human-and-non-human-social-animals
Deadline: 1 April 2024
Start date: 1 October 2024
www.jobs.ac.uk
jobs.ac.uk - Search
jobs.ac.uk - Search 1000's of science, research and academic related vacancies in the UK and abroad. Updated daily, easy to use job search and a free Jobs by Email service.
👍1
Summer School:
Mathematical Methods in Computational Neuroscience
8 July - 26 July 2024, Fred Kavli Knowledge Center, Eresfjord, Norway
https://www.compneuronrsn.org/
Mathematical Methods in Computational Neuroscience
8 July - 26 July 2024, Fred Kavli Knowledge Center, Eresfjord, Norway
https://www.compneuronrsn.org/
Mathematical Methods
Mathematical Methods in Computational Neuroscience
Summer school in Eresfjord, Norway (July 8th - 26th, 2024)
👍6
A #PhD project is available as part of a NEXUS grant from the Institute ExposUM of the University of Montpellier, France.
The PhD project "Preparing the critical care system for future health crises" will be co-supervised by Mircea T. Sofonea, Jean-Yves Lefrant (both at University of Montpellier & Nîmes University Hospital) and by Rémi Choquet (CEFE, Montpellier).
https://evolepid.cefe.cnrs.fr/nexus/EMIPSA_NEXUS2024_Sujet4_EN.pdf
The PhD project "Preparing the critical care system for future health crises" will be co-supervised by Mircea T. Sofonea, Jean-Yves Lefrant (both at University of Montpellier & Nîmes University Hospital) and by Rémi Choquet (CEFE, Montpellier).
https://evolepid.cefe.cnrs.fr/nexus/EMIPSA_NEXUS2024_Sujet4_EN.pdf
Geoffrey West | Johns Hopkins Natural Philosophy Forum Distinguished Lecture, 2024
https://www.youtube.com/watch?v=pjJFzZpBN2c
https://www.youtube.com/watch?v=pjJFzZpBN2c
YouTube
Geoffrey West | Johns Hopkins Natural Philosophy Forum Distinguished Lecture, 2024
The Johns Hopkins Natural Philosophy Forum sponsors an annual Distinguished Lecture, to be given by a scientist or philosopher working on illuminating the fundamental structure of reality. The 2023-24 lecture was given on February 27, 2024, by Geoffrey West…
👍4
2-year #postdoc opening in our project "Learning the meso-scale organization of complex networks"
https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Camperdown-Campus/Postdoctoral-research-associate_0116091-1
https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Camperdown-Campus/Postdoctoral-research-associate_0116091-1
👍2
Wastewater-based Epidemiology for COVID-19 Surveillance: A Survey
https://arxiv.org/abs/2403.15291
The pandemic of COVID-19 has imposed tremendous pressure on public health systems and social economic ecosystems over the past years. To alleviate its social impact, it is important to proactively track the prevalence of COVID-19 within communities. The traditional way to estimate the disease prevalence is to estimate from reported clinical test data or surveys. However, the coverage of clinical tests is often limited and the tests can be labor-intensive, requires reliable and timely results, and consistent diagnostic and reporting criteria. Recent studies revealed that patients who are diagnosed with COVID-19 often undergo fecal shedding of SARS-CoV-2 virus into wastewater, which makes wastewater-based epidemiology (WBE) for COVID-19 surveillance a promising approach to complement traditional clinical testing. In this paper, we survey the existing literature regarding WBE for COVID-19 surveillance and summarize the current advances in the area. Specifically, we have covered the key aspects of wastewater sampling, sample testing, and presented a comprehensive and organized summary of wastewater data analytical methods. Finally, we provide the open challenges on current wastewater-based COVID-19 surveillance studies, aiming to encourage new ideas to advance the development of effective wastewater-based surveillance systems for general infectious diseases.
https://arxiv.org/abs/2403.15291
The pandemic of COVID-19 has imposed tremendous pressure on public health systems and social economic ecosystems over the past years. To alleviate its social impact, it is important to proactively track the prevalence of COVID-19 within communities. The traditional way to estimate the disease prevalence is to estimate from reported clinical test data or surveys. However, the coverage of clinical tests is often limited and the tests can be labor-intensive, requires reliable and timely results, and consistent diagnostic and reporting criteria. Recent studies revealed that patients who are diagnosed with COVID-19 often undergo fecal shedding of SARS-CoV-2 virus into wastewater, which makes wastewater-based epidemiology (WBE) for COVID-19 surveillance a promising approach to complement traditional clinical testing. In this paper, we survey the existing literature regarding WBE for COVID-19 surveillance and summarize the current advances in the area. Specifically, we have covered the key aspects of wastewater sampling, sample testing, and presented a comprehensive and organized summary of wastewater data analytical methods. Finally, we provide the open challenges on current wastewater-based COVID-19 surveillance studies, aiming to encourage new ideas to advance the development of effective wastewater-based surveillance systems for general infectious diseases.
arXiv.org
Wastewater-based Epidemiology for COVID-19 Surveillance and...
The pandemic of COVID-19 has imposed tremendous pressure on public health systems and social economic ecosystems over the past years. To alleviate its social impact, it is important to proactively...
Forwarded from Sitpor.org سیتپـــــور
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علم شبکه و مدلسازی پخش بیماری در حضور مداخلهها
در دو دهه گذشته، مدلسازی پخش بیماریهای عفونی در جوامع به کمک ابزارهای فیزیک آماری و علم شبکه گسترش فراوانی داشته. در این ارائه، به اثرات ویژگیهای شبکههای اجتماعی بر اثربخشی مداخلههای دارویی و غیر دارویی همچون واکسیناسیون و رهگیری تماس میپردازیم. به طور خاص نشان میدهیم ویژگیهایی مانند ناهمگنیهای ارتباطی، هوموفیلی رفتاری، اندازه گروههای اجتماعی و تحولات زمانی شبکهها چگونه میتوانند در بهبودبخشی اثرات مداخلهها نقش داشته باشند.
📃 اسلایدها
🎧 فایل صوتی
🎞 ویدیو در یوتیوب
🔗 جزئیات بیشتر:
https://www.sitpor.org/2024/03/spreading_epidemic_interventions/
----------------------------------------------
@sitpor | sitpor.org
instagram.com/sitpor_media
#سیتپـــــور به خاطر روایتگری در علم
در دو دهه گذشته، مدلسازی پخش بیماریهای عفونی در جوامع به کمک ابزارهای فیزیک آماری و علم شبکه گسترش فراوانی داشته. در این ارائه، به اثرات ویژگیهای شبکههای اجتماعی بر اثربخشی مداخلههای دارویی و غیر دارویی همچون واکسیناسیون و رهگیری تماس میپردازیم. به طور خاص نشان میدهیم ویژگیهایی مانند ناهمگنیهای ارتباطی، هوموفیلی رفتاری، اندازه گروههای اجتماعی و تحولات زمانی شبکهها چگونه میتوانند در بهبودبخشی اثرات مداخلهها نقش داشته باشند.
📃 اسلایدها
🎧 فایل صوتی
🎞 ویدیو در یوتیوب
🔗 جزئیات بیشتر:
https://www.sitpor.org/2024/03/spreading_epidemic_interventions/
----------------------------------------------
@sitpor | sitpor.org
instagram.com/sitpor_media
#سیتپـــــور به خاطر روایتگری در علم
👍1
Debates on the nature of artificial general intelligence | Science
https://www.science.org/doi/10.1126/science.ado7069
https://www.science.org/doi/10.1126/science.ado7069
Science
Debates on the nature of artificial general intelligence
The term “artificial general intelligence” (AGI) has become ubiquitous in current discourse around AI. OpenAI states that its mission is “to ensure that artificial general intelligence benefits all of humanity.” DeepMind’s company vision statement notes ...
CENTAI offers 2 three-year pre-doctoral contracts funded by CEDAR, an EU-funded research project. Successful applicants can enroll in a PhD program and conduct research in complex systems and artificial intelligence domains. More info: centai.eu/careers/cedar
👍1
How Is Flocking Like Computing?
Birds flock. Locusts swarm. Fish school. From chaotic assemblies of life, order somehow emerges. In this episode, co-host Steven Strogatz interviews the evolutionary ecologist Iain Couzin about how and why collective behaviors arise.
https://www.quantamagazine.org/how-is-flocking-like-computing-20240328/
Birds flock. Locusts swarm. Fish school. From chaotic assemblies of life, order somehow emerges. In this episode, co-host Steven Strogatz interviews the evolutionary ecologist Iain Couzin about how and why collective behaviors arise.
https://www.quantamagazine.org/how-is-flocking-like-computing-20240328/
Quanta Magazine
How Is Flocking Like Computing?
Birds flock. Locusts swarm. Fish school. From chaotic assemblies of life, order somehow emerges. In this episode, co-host Steven Strogatz interviews the evolutionary ecologist Iain Couzin about how and why collective behaviors arise.
👍8
Interested in network dynamical systems with higher-order interactions? Apply for a #PhD
https://workingat.vu.nl/vacancies/beyondtheedge-phd-position-in-network-dynamical-systems-amsterdam-1059512
https://workingat.vu.nl/vacancies/beyondtheedge-phd-position-in-network-dynamical-systems-amsterdam-1059512
workingat.vu.nl
Vacancy — BeyondTheEdge PhD Position in Network Dynamical Systems
Do you have an inquisitive mind and a passion for mathematics and statistics? Please apply for a PhD position at Vrije Universiteit Amsterdam.
#phd Machine learning the dynamics of force-sensing proteins
https://www.findaphd.com/phds/project/machine-learning-the-dynamics-of-force-sensing-proteins/?p170724
https://www.findaphd.com/phds/project/machine-learning-the-dynamics-of-force-sensing-proteins/?p170724
www.FindAPhD.com
Machine learning the dynamics of force-sensing proteins at King’s College London on FindAPhD.com
PhD Project - Machine learning the dynamics of force-sensing proteins at King’s College London, listed on FindAPhD.com