Abstract This study proposes a novel, certainty‐weighted account of the process by which political beliefs shape political attitudes. Building upon expectancy‐value frameworks, this paper introduces belief certainty as a moderator of belief impact. A Bayesian partial‐pooling approach is used to test a model positing how beliefs about what the Patient ...
Gabriel Miao Li +2 more
wiley +1 more source
Dynamic causal modelling in probabilistic programming languages. [PDF]
Baldy N, Woodman M, Jirsa VK, Hashemi M.
europepmc +1 more source
Topics as Outcomes: Modeling the Influence of Intergovernmental Grants on Policy Diffusion
ABSTRACT Intergovernmental grants stimulate the diffusion of policy reforms, as the federal government provides states with a financial incentive to adopt policies aligned with federal priorities. Less is known about the extent to which these grants also stimulate horizontal diffusion across states.
NaLette Brodnax, Sarah James
wiley +1 more source
Neural parameter calibration for dengue outbreak forecasting. [PDF]
Pham HV +3 more
europepmc +1 more source
Fault-tolerant and mobility-aware loading via Markov chain in mobile cloud computing. [PDF]
Wang N, Li Y, Li Y, Nie H.
europepmc +1 more source
Genomic analysis reveals dynamics of SARS-CoV-2 during the initial phases of the COVID-19 outbreak in the Dominican Republic. [PDF]
Kreitman A +11 more
europepmc +1 more source
Translating cardiovascular ion channel and Ca2+ signalling mechanisms into therapeutic insights
Abstract figure legend This white paper integrates mechanistic discoveries across ion channel biology, Ca2+ signalling and multiscale cardiovascular physiology to highlight new opportunities for accelerating research and guiding next‐generation therapies. Printed with permission from ®Anita Impagliazzo Medical Illustration. [Correction added on 2 March
Silvia Marchianò +18 more
wiley +1 more source
Analyzing measles spread through a Markovian SEIR model. [PDF]
Alnafisah Y, Sohaly MA.
europepmc +1 more source
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
wiley +1 more source
Assessing treatment efficacy for interval-censored endpoints using multistate semi-Markov models fit to multiple data streams. [PDF]
Morsomme R +6 more
europepmc +1 more source

