Results 31 to 40 of about 1,528,765 (246)
Ideas From Bounded Confidence Theory Applied to Dynamical Networks of Interacting Free-Bodies
Frontiers in Physics, 2019 An approximation method is introduced for simulating the motion of interacting free-bodies. Concepts from bounded confidence theory (in network science) and asymptotic analysis (in physics) are combined to create the method.
Gary J. O'Keeffe, Ioannis K. Dassios
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Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
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Frontiers in PhysicsThe structure of an interaction network strongly shapes opinion clustering and the emergence of echo chambers in bounded-confidence (BC) models. We ask whether a controller can steer this clustering by rewiring edges adaptively and how a learned policy ...
Quang Nguyen +2 more
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Cauchy: Jurnal Matematika Murni dan Aplikasi, 2022 We consider the problem of estimating the mean function of a compound cyclic Poisson process in the presence of power function trend. The objectives of this paper are: (i) to construct confidence interval for the mean function of a compound cyclic ...
Faisal Muhammad +2 more
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Limit state analysis on the un-repeated multiple selection bounded confidence model [PDF]
, 2023 summary:In this paper, we study the opinion evolution over social networks with a bounded confidence rule. Node initial opinions are independently and identically distributed. At each time step, each node reviews the average opinions of several different
Zhao, Yiyi, Zhang, Jiangbo
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Prospecting the protein design landscape
FEBS Letters, EarlyView.This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 more
wiley +1 more source
Bounded confidence, radical groups, and charismatic leaders [PDF]
, 2014 By few simple extensions it is possible to model radical groups, charismatic leaders and processes of radicalization in the bounded confidence framework. In the resulting model we get a lot of surprising (non-)monotonicities.
Hegselmann, Rainer
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Watershed Ecology and the Environment, 2021 There has long been interest in making inferences about future low-probability natural events that have magnitudes greater than any in the past record. Given a stationary time series, the unbounded Type 1 and Type 2 asymptotic extreme value distributions
Earl Bardsley, Varvara Vetrova
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FEBS Letters, EarlyView.Vacuolar H+‐ATPase (V‐ATPase) is a multisubunit rotary proton pump that acidifies intracellular compartments. Using elastic network models, we identified conserved hinge residues that govern its large‐scale functional motions. We show that intrinsically encoded ‘soft modes’ drive critical functional transitions, including rotary catalysis and ...
Diksha Parwana +3 more
wiley +1 more source
Three-Stage Cascade Information Attenuation for Opinion Dynamics in Social Networks
EntropyIn social network analysis, entropy quantifies the uncertainty or diversity of opinions, reflecting the complexity of opinion dynamics. To enhance the understanding of how opinions evolve, this study introduces a novel approach to modeling opinion ...
Haomin Wang, Youyuan Li, Jia Chen
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