Article
Physics, Multidisciplinary
Serge Galam
Summary: The paper reviews and extends a set of unifying principles for comparing various models of opinion dynamics. These principles allow for recasting any specific update rule into a probabilistic formula and studying the associated dynamics using a general probabilistic sequential process. The study finds that most stationary states exhibit symmetry breaking, but fifty-fifty coexistence is also possible.
Article
Environmental Sciences
Matthew T. Ballew, Jennifer R. Marlon, Matthew H. Goldberg, Edward W. Maibach, Seth A. Rosenthal, Emily Aiken, Anthony Leiserowitz
Summary: Americans increasingly accept global warming as a serious threat. The reasons for changing their minds include learning more, personal experience, and social norms. Perceived experience and personal experience have a strong impact on opinion change.
Article
Nanoscience & Nanotechnology
Seong Uk Son, Eun-Kyung Lim, Soojin Jang, Jaewoo Lim, Seung Beom Seo, Taejoon Kang, Juyeon Jung, Seo Yeong Oh, Sun-Woo Yoon, Dongeun Yong, Jaejong Lee
Summary: The study developed a conductive thread-based immunosensor to easily detect airborne viruses, which is important in preventing the spread of infectious diseases.
ACS APPLIED MATERIALS & INTERFACES
(2023)
Article
Development Studies
Sebastian H. Schneider, Jens Eger, Martin Bruder, Joerg Faust, Lothar H. Wieler
Summary: The global COVID-19 pandemic has challenged the economies, politics, and public health systems of both developed and developing countries. Research shows that health and economic worries during the early stages of the pandemic did not decrease public support for development assistance, and trust in government played a moderating role in this relationship.
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Immunology
Veronica A. Ferrando, Marcel E. Friedrich, Shrey Gandhi, Alexander Mellmann, Doerthe Masemann, Anmari Christersson, Darisuren Anhlan, Linda Brunotte, Monika Stoll, Timm Harder, Martin Beer, Yvonne Boergeling, Stephan Ludwig
Summary: Influenza A viruses, including the H1N1pdm09 virus, cause recurrent epidemics and occasional pandemics in humans. The reassortment of these viruses in swine and their ability to replicate in human lung tissue suggest a possible zoonotic potential. Reassortment frequently occurs in the PB1, PA, and NA segments, resulting in the generation of reassortants that can reach high titers in swine lung cells.
EMERGING MICROBES & INFECTIONS
(2023)
Article
Obstetrics & Gynecology
Nicola Vousden, Marian Knight
Summary: Influenza during pregnancy is associated with an increased risk of hospital admission, and there is variability in policies and uptake of immunization globally. Immunization is cost-effective and safe in preventing influenza in pregnant women and their infants.
BEST PRACTICE & RESEARCH CLINICAL OBSTETRICS & GYNAECOLOGY
(2021)
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Computer Science, Interdisciplinary Applications
Guang Cao, Lining Shen, Richard Evans, Zhiguo Zhang, Qiqing Bi, Wenjing Huang, Rui Yao, Wenli Zhang
Summary: This study aims to explore the regularity of emotional evolution through analyzing public emotions expressed in online discussions about the Wuhan lockdown event in January 2020. The study found that public attitudes towards the lockdown gradually alleviated and reached a balance as the situation improved. There were statistically significant correlations between different emotions within the subtle emotional categories.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2021)
Article
Immunology
Jose Alberto Choreno-Parra, Luis Armando Jimenez-Alvarez, Alfredo Cruz-Lagunas, Tatiana Sofia Rodriguez-Reyna, Gustavo Ramirez-Martinez, Montserrat Sandoval-Vega, Diana Lizzeth Hernandez-Garcia, Eduardo M. Choreno-Parra, Yalbi I. Balderas-Martinez, Mariana Esther Martinez-Sanchez, Eduardo Marquez-Garcia, Edda Sciutto, Jose Moreno-Rodriguez, Jose Omar Barreto-Rodriguez, Hazel Vazquez-Rojas, Gustavo Ivan Centeno-Saenz, Nestor Alvarado-Pena, Citlaltepetl Salinas-Lara, Carlos Sanchez-Garibay, David Galeana-Cadena, Gabriela Hernandez, Criselda Mendoza-Milla, Andrea Dominguez, Julio Granados, Lula Mena-Hernandez, Luis Angel Perez-Buenfil, Guillermo Dominguez-Cheritt, Carlos Cabello-Gutierrez, Cesar Luna-Rivero, Jorge Salas-Hernandez, Patricio Santillan-Doherty, Justino Regalado, Angelica Hernandez-Martinez, Lorena Orozco, Federico Avila-Moreno, Ethel A. Garcia-Latorre, Carmen M. Hernandez-Cardenas, Shabaana A. Khader, Albert Zlotnik, Joaquin Zuniga
Summary: By comparing patients with COVID-19 and pandemic influenza A(H1N1), it was found that influenza patients had more severe respiratory symptoms, while COVID-19 patients more often experienced dry cough and gastrointestinal symptoms. The immune responses also differed between the two diseases, with pandemic influenza A(H1N1) characterized by higher levels of certain cytokines and COVID-19 displaying a distinct immune profile with increased Th1 and Th2 cytokine levels.
FRONTIERS IN IMMUNOLOGY
(2021)
Editorial Material
Cell Biology
David M. Morens, Jaekeun Park, Jeffery K. Taubenberger
Summary: Despite our current understanding and resources, we cannot predict future pandemics caused by influenza A viruses. Concerns about an H5N1 avian influenza pandemic have been raised since 1997, but there are also other possible routes to pandemic influenza.
SCIENCE TRANSLATIONAL MEDICINE
(2023)
Article
Immunology
Petra Mooij, Daniella Mortier, Aafke Aartse, Alexandre B. Murad, Ricardo Correia, Antonio Roldao, Paula M. Alves, Zahra Fagrouch, Dirk Eggink, Norbert Stockhofe, Othmar G. Engelhardt, Ernst J. Verschoor, Marit J. van Gils, Willy M. Bogers, Manuel J. T. Carrondo, Edmond J. Remarque, Gerrit Koopman
Summary: Influenza-naive cynomolgus macaques were immunized with virus-like particles (VLPs) displaying different hemagglutinin (HA) antigens from seasonal H1N1 strains. Subsequent infection with pandemic H1N1 (H1N1pdm09) resulted in increased immune response against intermediate antigenic variants but not against all H1N1 vaccine strains.
FRONTIERS IN IMMUNOLOGY
(2023)
Article
Computer Science, Information Systems
Mohd Suhairi Md Suhaimin, Mohd Hanafi Ahmad Hijazi, Ervin Gubin Moung, Puteri Nor Ellyza Nohuddin, Stephanie Chua, Frans Coenen
Summary: The importance of social media sentiment analysis and opinion mining for public security has grown over the years. This paper presents a survey of the current state-of-the-art in this field, aiming to understand progress, identify research gaps, and propose future directions. However, there is currently a lack of systematic surveys describing the trends and latest developments in this domain.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2023)
Article
Computer Science, Artificial Intelligence
Weimin Li, Chang Guo, Zhibin Deng, Fangfang Liu, Jianjia Wang, Ruiqiang Guo, Can Wang, Qun Jin
Summary: This paper investigates the prevention and control of harmful group behavior on social networks by studying the evolution mechanism of group behavior. Most researchers have focused on studying group behavior evolution in deterministic environments, neglecting the influence of uncertain environments. Therefore, this paper starts with the behavior decision-making process of individuals in an uncertain environment, defines the perception of public opinion, and builds a coevolution model of group behavior and opinion. The effectiveness of our model is confirmed through experiments and real group behavior evolution.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Behavioral Sciences
Daiva Radzisauskiene, Monika Vitkauskaite, Karolina Zvinyte, Ruta Mameniskiene
Summary: The study described a case series of influenza A-associated neurological complications, with a low incidence rate of influenza-associated neurological complications in hospitalized patients in 2019 at 1.9%. The findings suggest that during influenza epidemics, patients with unexplained neurological symptoms resembling aseptic and septic meningitis/encephalitis should be tested for influenza virus.
BRAIN AND BEHAVIOR
(2021)
Article
Multidisciplinary Sciences
Seungwon Kim, Margaret Carrel, Andrew Kitchen
Summary: Identifying the spatial patterns of genetic structure of influenza A viruses is important for understanding their spread. This study analyzed the genetic sequences of the A/H1N1pdm09 virus in mainland China and found that there is high genetic similarity among viruses within small geographic regions, but broad-scale genetic differentiation. Local viral circulation has a greater impact on the spatial genetic structure of the virus than countrywide viral mixing and gene flow.
Review
Environmental Sciences
Baskaran Abirami, Manikkam Radhakrishnan, Subramanian Kumaran, Aruni Wilson
Summary: Global warming has various effects on ocean ecosystems, including temperature, acidification, oxygen content, circulation, stratification, and nutrient inputs, posing a serious threat to the metabolism and distribution of marine microbes and affecting the overall ecosystem functioning.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
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Natasa Golo, Serge Galam
Article
Physics, Multidisciplinary
Shen Qian, Yijun Liu, Serge Galam
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2015)
Article
Physics, Fluids & Plasmas
Serge Galam, Andre C. R. Martins
Article
Mathematics, Interdisciplinary Applications
Serge Galam
CHAOS SOLITONS & FRACTALS
(2016)
Article
Physics, Applied
Serge Galam
INTERNATIONAL JOURNAL OF MODERN PHYSICS B
(2017)
Article
Mathematics, Applied
Serge Galam
MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES
(2017)
Article
Physics, Multidisciplinary
Taksu Cheon, Serge Galam
Article
Multidisciplinary Sciences
Serge Galam, Marco Alberto Javarone
Article
Physics, Multidisciplinary
Serge Galam
Summary: The paper reviews and extends a set of unifying principles for comparing various models of opinion dynamics. These principles allow for recasting any specific update rule into a probabilistic formula and studying the associated dynamics using a general probabilistic sequential process. The study finds that most stationary states exhibit symmetry breaking, but fifty-fifty coexistence is also possible.
Article
Physics, Multidisciplinary
Serge Galam
Summary: Political polarization is seen as a threat to democracies, but according to the Galam model of opinion dynamics, it is actually a natural outcome of open and informal discussions in a vibrant democratic society. Polarization occurs when different social groups with varying prejudices exist in a community. Contrarian and stubborn agents also contribute to polarization, but their effects differ in terms of the dynamics and atmosphere within the community. While polarization allows for the coexistence of opposite opinions, the polarization caused by stubborn agents may lead to hate and division.
Article
Physics, Multidisciplinary
Maria Cecilia Gimenez, Luis Reinaudi, Serge Galam, Federico Vazquez
Summary: We study the dynamics of the Galam majority rule with contrarian behavior and oscillating external propaganda in a population of agents. We find that the system exhibits various regimes and undergoes a transition at a critical temperature. At a resonance temperature, the system shows the maximum response.
Article
Physics, Multidisciplinary
Serge Galam
FRONTIERS IN PHYSICS
(2018)
Proceedings Paper
Computer Science, Information Systems
Marco Alberto Javarone, Serge Galam
Social Informatics
(2015)
Proceedings Paper
Computer Science, Information Systems
Serge Galam, Marco Alberto Javarone, Tiziano Squartini
Social Informatics
(2015)
Proceedings Paper
Mathematics, Interdisciplinary Applications
Andr M. Timpanaro, Serge Galam
4TH INTERNATIONAL CONFERENCE ON MATHEMATICAL MODELING IN PHYSICAL SCIENCES (IC-MSQUARE2015)
(2015)
Article
Physics, Multidisciplinary
Xiaoyu Shi, Jian Zhang, Xia Jiang, Juan Chen, Wei Hao, Bo Wang
Summary: This study presents a novel framework using offline reinforcement learning to improve energy consumption in road transportation. By leveraging real-world human driving trajectories, the proposed method achieves significant improvements in energy consumption. The offline learning approach demonstrates generalizability across different scenarios.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Junhyuk Woo, Soon Ho Kim, Hyeongmo Kim, Kyungreem Han
Summary: Reservoir computing (RC) is a new machine-learning framework that uses an abstract neural network model to process information from complex dynamical systems. This study investigates the neuronal and network dynamics of liquid state machines (LSMs) using numerical simulations and classification tasks. The findings suggest that the computational performance of LSMs is closely related to the dynamic range, with a larger dynamic range resulting in higher performance.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Yuwei Yang, Zhuoxuan Li, Jun Chen, Zhiyuan Liu, Jinde Cao
Summary: This paper proposes an extreme learning machine (ELM) algorithm based on residual correction and Tent chaos sequence (TRELM-DROP) for accurate prediction of traffic flow. The algorithm reduces the impact of randomness in traffic flow through the Tent chaos strategy and residual correction method, and avoids weight optimization using the iterative method. A DROP strategy is introduced to improve the algorithm's ability to predict traffic flow under varying conditions.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Chengwei Dong, Min Yang, Lian Jia, Zirun Li
Summary: This work presents a novel three-dimensional system with multiple types of coexisting attractors, and investigates its dynamics using various methods. The mechanism of chaos emergence is explored, and the periodic orbits in the system are studied using the variational method. A symbolic coding method is successfully established to classify the short cycles. The flexibility and validity of the system are demonstrated through analogous circuit implementation. Various chaos-based applications are also presented to show the system's feasibility.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Viorel Badescu
Summary: This article discusses the maximum work extraction from confined particles energy, considering both reversible and irreversible processes. The results vary for different types of particles and conditions. The concept of exergy cannot be defined for particles that undergo spontaneous creation and annihilation. It is also noted that the Carnot efficiency is not applicable to the conversion of confined thermal radiation into work.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
P. M. Centres, D. J. Perez-Morelo, R. Guzman, L. Reinaudi, M. C. Gimenez
Summary: In this study, a phenomenological investigation of epidemic spread was conducted using a model of agent diffusion over a square region based on the SIR model. Two possible contagion mechanisms were considered, and it was observed that the number of secondary infections produced by an individual during its infectious period depended on various factors.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Zuan Jin, Minghui Ma, Shidong Liang, Hongguang Yao
Summary: This study proposes a differential variable speed limit (DVSL) control strategy considering lane assignment, which sets dynamic speed limits for each lane to attract vehicle lane-changing behaviors before the bottleneck and reduce the impact of traffic capacity drop. Experimental results show that the proposed DVSL control strategy can alleviate traffic congestion and improve efficiency.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Matthew Dicks, Andrew Paskaramoorthy, Tim Gebbie
Summary: In this study, we investigate the learning dynamics of a single reinforcement learning optimal execution trading agent when it interacts with an event-driven agent-based financial market model. The results show that the agents with smaller state spaces converge faster and are able to intuitively learn to trade using spread and volume states. The introduction of the learning agent has a robust impact on the moments of the model, except for the Hurst exponent, which decreases, and it can increase the micro-price volatility as trading volumes increase.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Zhouzhou Yao, Xianyu Wu, Yang Yang, Ning Li
Summary: This paper developed a cooperative lane-changing decision system based on digital technology and indirect reciprocity. By introducing image scoring and a Q-learning based reinforcement learning algorithm, drivers can continuously evaluate gains and adjust their strategies. The study shows that this decision system can improve driver cooperation and traffic efficiency, achieving over 50% cooperation probability under any connected vehicles penetration and traffic density, and reaching 100% cooperation probability under high penetration and medium to high traffic density.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
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Physics, Multidisciplinary
Josephine Nanyondo, Henry Kasumba
Summary: This paper presents a multi-class Aw-Rascle (AR) model with area occupancy expressed in terms of vehicle class proportions. The qualitative properties of the proposed equilibrium velocity and the stability conditions of the model are established. The numerical results show the effect of proportional densities on the flow of vehicle classes, indicating the realism of the proposed model.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Oliver Smirnov
Summary: This study proposes a new method for simultaneously estimating the parameters of the 2D Ising model. The method solves a constrained optimization problem, where the objective function is a pseudo-log-likelihood and the constraint is the Hamiltonian of the external field. Monte Carlo simulations were conducted using models of different shapes and sizes to evaluate the performance of the method with and without the Hamiltonian constraint. The results demonstrate that the proposed estimation method yields lower variance across all model shapes and sizes compared to a simple pseudo-maximum likelihood.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Przemyslaw Chelminiak
Summary: The study investigates the first-passage properties of a non-linear diffusion equation with diffusivity dependent on the concentration/probability density through a power-law relationship. The survival probability and first-passage time distribution are determined based on the power-law exponent, and both exact and approximate expressions are derived, along with their asymptotic representations. The results pertain to diffusing particles that are either freely or harmonically trapped. The mean first-passage time is finite for the harmonically trapped particle, while it is divergent for the freely diffusing particle.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Hidemaro Suwa
Summary: The choice of transition kernel is crucial for the performance of the Markov chain Monte Carlo method. A one-parameter rejection control transition kernel is proposed, and it is shown that the rejection process plays a significant role in determining the sampling efficiency.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)
Article
Physics, Multidisciplinary
Xudong Wang, Yao Chen
Summary: This article investigates the joint influence of expanding medium and constant force on particle diffusion. By starting from the Langevin picture and introducing the effect of external force in two different ways, two models with different force terms are obtained. Detailed analysis and derivation yield the Fokker-Planck equations and moments for the two models. The sustained force behaves as a decoupled force, while the intermittent force changes the diffusion behavior with specific effects depending on the expanding rate of the medium.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2024)