Results 201 to 210 of about 3,996,057 (281)

Analysis of Spatiotemporal Features in a Virtual Navigation Game Across Different Age Groups: Quantitative Research. [PDF]

open access: yesJMIR Serious Games
Qiao X   +11 more
europepmc   +1 more source

The Gender of Heteroclites1

open access: yesTransactions of the Philological Society, EarlyView.
Abstract Few have asked what happens to gender when a noun is heteroclitic – when its inflection draws on more than one inflection class. While heteroclisis has moved from being treated as a marginal irregularity to a theoretically revealing phenomenon, its implications for gender assignment remain largely unexplored.
Greville G. Corbett
wiley   +1 more source

Offspring performance does not explain oviposition preference in the leafminer Stigmella sorbi (Lepidoptera: Nepticulidae): a tri‐trophic perspective

open access: yesInsect Science, EarlyView.
We studied oviposition site selection in a leaf‐mining moth (Stigmella sorbi) on rowan trees (Sorbus aucuparia) in northwestern Russia, assessing larval performance across different shoot types, leaf positions, and leaflets. Larval survival was highest on long vegetative shoots, yet females showed no preference for these optimal sites.
Mikhail V. Kozlov, Vitali Zverev
wiley   +1 more source

Relationships Between HPWS, Causal Ascriptions and Organisational Citizenship Behaviour: A Cross‐Level Investigation

open access: yesHuman Resource Management Journal, EarlyView.
ABSTRACT Attribution scholarship has sought to gain insights into employees' human resource attributions, or beliefs about managerial motives, to explain workplace behaviours. Yet this perspective remains confined to the front end of the cognitive process, overlooking how causal ascriptions arising from strategic HRM practices inform subsequent ...
Manh Dao   +3 more
wiley   +1 more source

Individual bird identification by modelling temporal structure in bioacoustic embeddings

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Identifying individual animals from vocalizations is an emerging research area in computational bioacoustics. This non‐invasive approach reduces reliance on physical capture and tagging for wildlife monitoring. Recent advances in this area leverage deep learning and bioacoustic foundation models adapted from species‐level classifiers. However,
Jonathan Gallego   +2 more
wiley   +1 more source

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