Results 11 to 20 of about 289 (100)
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
Lonely and Sick: The Role of Social Media in Consumer Practices of Relief
ABSTRACT Loneliness is increasingly recognized as a major mental health concern, yet the role of social media in alleviating it remains poorly understood. This study asks how social media help consumers cope with loneliness amid chronic illness. Focusing on women living with endometriosis, an under‐recognized and often stigmatized condition marked by ...
Beatrice Medici +2 more
wiley +1 more source
Fungal‐assisted recycling of carbon‐fibre reinforced polymer waste. ABSTRACT Epoxy‐based carbon‐fiber‐reinforced polymer (CFRP) composites are increasingly used in high‐performance applications, yet their highly cross‐linked and chemically resistant matrices remain difficult to recycle sustainably.
S. Ali Hadigheh, Yaning Wei, Yunyun Tao
wiley +1 more source
Robust Multi‐Source Batch Normalisation for Test‐Time Batch Adaptation
ABSTRACT Test‐Time Batch Adaptation (TTBA) aims to adapt a pre‐trained source model to small, unlabelled target batches at test time. The TTBA methods focus on adapting the pre‐trained model or the target data in a one‐to‐one alignment paradigm. However, these one‐to‐one alignment paradigms assume that the source domain may share the same knowledge ...
Xinlin Xiao +3 more
wiley +1 more source
Abstract Recent studies acknowledge that the contribution of female directors at the board may not be uniform but instead varies depending on their individual characteristics and board context. In this study we focus on a pivotal yet insufficiently explored facet of female directors – their affiliation with the business owning family – and assess its ...
Yuliya Ponomareva +3 more
wiley +1 more source
This work presents the first complete system for automated six degrees of freedom (6DOF) satellite pose estimation from spatially resolved, ground-based, adaptive optics (AO)-corrected imagery, addressing a key challenge in Space Domain Awareness (SDA ...
Thomas Dickinson +5 more
doaj +1 more source
A Self‐Supervised Framework for Space Object Behaviour Characterisation
ABSTRACT Foundation Models, which leverage large neural networks pre‐trained on unlabelled data before fine‐tuning for specific tasks, are increasingly being applied to specialised domains. Recent examples include ClimaX for climate and Clay for satellite Earth observation, but a Foundation Model for Space Object Behavioural Analysis (SOBA) has not yet
Ian Groves +6 more
wiley +1 more source
There is growing demand for the high-fidelity characterization of satellites in Geosynchronous Earth Orbit (GEO) to support Space Domain Awareness (SDA).
Alexander Serrano +3 more
doaj +1 more source
Abstract West Africa is the largest global source of mineral dust, with significant impacts on climate, air quality, and biogeochemical cycles. While temporal variations in dust loading from daily to interannual scales are well studied, the long‐term evolution of the diurnal cycle itself is often overlooked.
Xiaohan Li, Paul Ginoux
wiley +1 more source
The Baboon as a Model to Study Human Health and Complex Disease
Baboons remain underappreciated as models of human biology and disease offering a distinct combination of biological and practical properties. In this review, we evaluate the baboon as a model for human complex diseases and make the case for broader use of baboons in translational research.
Brittany Hazzard, Yoav Gilad
wiley +1 more source

