Results 81 to 90 of about 431 (234)

Optimal deep learning activity recognition pipeline using animal bio‐logging data

Methods in Ecology and Evolution, EarlyView.
Abstract Animal activity recognition using supervised machine learning on bio‐logging data has revolutionized behavioural studies on wildlife and livestock over the past decade. These studies' analytic pipelines differ substantially though, being based on various sensors, features, algorithms and hyperparameter values, which has caused suboptimal or ...
Jasper A. J. Eikelboom
wiley   +1 more source

Does Continuous Disclosure Improve Investment Efficiency? Evidence from a Unique Regulatory Setting

Abacus, EarlyView.
We examine the association between continuous disclosure and investment efficiency within the context of Australia's unique regulatory setting for continuous disclosure. Based on 8,527 firm‐year observations, we find that continuous disclosure is positively associated with investment efficiency and helps to mitigate both over‐investment and under ...
Sudipta Bose, Muhammad Jahangir Ali, Syed Shams, Muhammad Shahin Miah   +3 more
wiley   +1 more source

Association of fully branded, standardized packaging and limited flavor and brand descriptors of e‐liquids with interest in trying products among youths in Great Britain

Addiction, Volume 120, Issue 4, Page 620-628, April 2025.
Abstract Background and aims Many vaping products feature bright colors and novel brand names and flavor descriptors, which may appeal to youth. We measured the strength of the associations between e‐liquid packaging design (branded, white standardized or white standardized limiting brand and flavor descriptors) and perceived peer interest in trying ...
Eve Taylor, Erikas Simonavičius, Matilda Nottage, Ann McNeill, Deborah Arnott, Hazel Cheeseman, David Hammond, Jessica Reid, Pete Driezen, Kimberly D'Mello, Katherine East   +10 more
wiley   +1 more source

Natural History of Alternaria Sensitisation and Association With Asthma and Rhinitis From Childhood to Adulthood

Allergy, EarlyView.
We aimed to characterise Alternaria sensitisation trajectories from childhood to adulthood; we compared SPT, whole‐extract sIgE and rAlt a 1, and assessed their longitudinal association with asthma and rhinitis in the Isle of Wight birth cohort. Alternaria sensitisation in the Isle of Wight Birth Cohort emerges mainly in late adolescence and, when ...
Mohammad Leily, Hongmei Zhang, Graham Roberts, Pandurangan Vijayanand, Magnus Bores, Eva Södergren, Ramesh J. Kurukulaaratchy, S. Hasan Arshad   +7 more
wiley   +1 more source

Provenance Analysis Based on Cluster In‐Betweenness and Support Vector Machines: Identifying Migrant Candidates Using Multi‐Isotope Fingerprints

Archaeometry, EarlyView.
ABSTRACT Provenance reconstruction using strontium and lead stable isotopes can produce complex multidimensional fingerprints, challenging traditional methods. Identifying nonlocals, who migrated between sites, is a major task. Migrants are identifiable by divergent multi‐isotope fingerprints due to isotopic mixing between origin and destination sites.
Andrea Göhring, Daniyal Kazempour, Jan Robert Bensien, Sweety Mohanty, Claudius Zelenka, Matthias Renz, Peer Kröger, Gisela Grupe, Amei Lang   +8 more
wiley   +1 more source

Motivational ecologies in AI‐supported classrooms: Teachers and ChatGPT as dual agents

British Journal of Educational Psychology, EarlyView.
Abstract Background Generative artificial intelligence (GenAI) tools such as ChatGPT are increasingly integrated into classroom practice, yet their motivational–emotional implications remain insufficiently understood. Situated expectancy–value theory (SEVT) conceptualizes motivation and emotion as embedded in contextual affordances, raising the ...
Sabine Schweder
wiley   +1 more source

When machines join the moral circle: The persona effect of generative AI agents in collaborative reasoning

British Journal of Educational Technology, EarlyView.
Abstract Generative AI is increasingly positioned as a peer in collaborative learning, yet its effects on ethical deliberation remain unclear. We report a between‐subjects experiment with university students (N = 217) who discussed an autonomous‐vehicle dilemma in triads under three conditions: human‐only control, supportive AI teammate or contrarian ...
Yueqiao Jin, Roberto Martinez‐Maldonado, Wanruo Shi, Songjie Huang, Mingmin Zheng, Xinbin Han, Dragan Gasevic, Lixiang Yan   +7 more
wiley   +1 more source

From tetrachoric to kappa: How to assess reliability on binary scales

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Reliability is crucial in psychometrics, reflecting the extent to which a measurement instrument can discriminate between individuals or items. While classical test theory and intraclass correlation coefficients are well‐established for quantitative scales, estimating reliability for binary outcomes presents unique challenges due to their ...
Sophie Vanbelle
wiley   +1 more source

Noisy Graph Patterns via Ordered Matrices

Computer Graphics Forum, EarlyView.
Abstract The high‐level structure of a graph is a crucial ingredient for the analysis and visualization of relational data. However, discovering the salient graph patterns that form this structure is notoriously difficult for two reasons. (1) Finding important patterns, such as cliques and bicliques, is computationally hard.
J. Wulms, W. Meulemans, B. Speckmann
wiley   +1 more source

Pain trajectories in children and adolescents with cerebral palsy: A longitudinal population‐based register study

Developmental Medicine &Child Neurology, EarlyView.
Four pain trajectories were identified in a population‐based register study of 4887 children and adolescents with cerebral palsy: (1) increasing trend, low probability of experiencing pain (20.28%), (2) increasing trend, high probability of experiencing pain (30.30%), (3) decreasing trend (26.85%), and (4) consistently high probability of experiencing ...
May Phyu Sin, Johan Jarl, David L. Roth, Ann I. Alriksson‐Schmidt   +3 more
wiley   +1 more source