Results 21 to 30 of about 768 (92)
ABSTRACT Recurring conflict in healthcare teams frequently persists despite well‐intended interventions (Page et al. 2024; Mazzei et al. 2024). Dynamic systems theory helps to map how such recurrences reflect systemic feedback loops linking individual experience, behaviour, shared beliefs and organisational structures, supporting intervention design at
Dominik Havsteen‐Franklin
wiley +1 more source
Based on ethnographic research at Rūm Orthodox Christian monasteries in Lebanon, the article studies scenes of Islam at the monastery as they intersect with anxious public debates on, and anthropological theorizations of, sectarianism and ‘Muslim–Christian’ relations in the Mashriq.
Aaron F. Eldridge
wiley +1 more source
AUGURAL TERRITORIES: On the Prophetic Organizing of the Mid‐range
Abstract In this article I introduce the concept of augural territories to theorize the urbanism that emerged during pandemic lockdowns. I draw on ethnographic research in Madrid to examine how community‐based responses—including mutual aid networks, food pantries and neighbourhood associations—disrupted the spatial and temporal logics of territorial ...
Alberto Corsín Jiménez
wiley +1 more source
A tutorial on Bayesian model averaging for exponential random graph models
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo +2 more
wiley +1 more source
Abstract During the COVID‐19 pandemic, the need for quick public health action often conflicted with the careful methods required in phylogenetics. To explore this, we reviewed 217 SARS‐CoV‐2 studies published from January 2020 to March 2025 in 121 journals.
Omkar Marne, Denis Jacob Machado
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Abstract Multi‐restart metaheuristics can be highly effective for complex optimization problems, yet their performance depends critically on how restarts and algorithmic parameters are selected. This paper introduces a reinforcement learning approach for managing restart‐level decisions and parameter configurations in the UES–CMA‐ES hybrid ...
Antonio Bolufé‐Röhler, Bowen Xu
wiley +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
As maritime transport electrifies, bidirectional charging (V2G) offers a dual‐purpose solution for energy resilience and economic viability. This work identifies key technological advancements and lifecycle challenges utilizing practical case studies to demonstrate how V2G systems can drive decarbonization and grid stability in the marine sector ...
Jonathan Bloor +3 more
wiley +1 more source
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali +6 more
wiley +1 more source
Renewable‐Based Electric Vehicle Charging and Grid Support Through Bi‐Level Optimization
ABSTRACT This study proposes a bi‐level optimization framework for coordinated electric vehicle charging and discharging in renewable‐based distribution networks. The upper‐level problem minimizes feeder losses from the Distribution Grid Operator perspective, while the lower‐level problem minimizes charging costs for electric vehicle owners under time ...
Wei Peng +4 more
wiley +1 more source

