Grasping techniques: innovations in robotics and virtual reality See

The act of grasping is a fundamental mode of interaction when manipulating objects, in both physical and virtual environments. Robotic grasping has been studied for more than three decades, leading to the development of sophisticated frameworks. In contrast, achieving believable grasping in&...

Cognitive function during self-paced cycling under heat stress: Performance, perceptual, and neuromuscular fatigue responses in athletes See

Heat stress impairs both physical and cognitive function, yet its impact on simultaneous cognitive-motor dual-tasking (CMDT) remains unclear. Sixteen trained athletes completed two high-intensity CMDT sessions in hot (HOT, 40°C) or temperate (CON, 20°C) conditions. Each 21-min cycling exercise compris...

EEG-DBNet: a dual-branch framework for temporal-spectral representation learning of motor imagery electroencephalography See

Purpose: Motor imagery electroencephalography (MI-EEG) decoding remains challenging due to low signal-to-noise ratio and complex temporal-spectral characteristics. This study aims to develop a robust deep learning framework for effective EEG representation learning. Methods: We propos...

A cross-sectional study of category fluency serial recall order in Italian individuals with amnestic mild cognitive impairment from the TREDEM registry: The role of word length See

Category Fluency (CF) “item-level” scoring methodologies identify neurocognitive processes that are distinct from those of standard quantitative scoring. One of these accounts for words’ serial recall order (SRO) and calculates the correlation between SRO and item-level complexity to operationalise th...

Binding Affinity Ranking at the Molecular Initiating Event (BARMIE): An open-source computational pipeline for the rapid screening of chemical interactions with steroid receptors from many species See

A challenge in ecological risk assessment is identifying the chemicals that pose the greatest threat and determining which species are most vulnerable to them. To help address this, this study has developed an in-silico open-source tool called BARMIE (Binding Affinity Ranking at the...

Comprehensive analysis of pseudogene expression in human and macaque brains compared with other tissues See

Although gene expression in the brain has been extensively investigated and compared to other tissues, the activity of pseudogenes has not been comprehensively surveyed. Here, leveraging large-scale RNA-seq data, we construct consistent pseudogene expression profiles in human and macaque brains a...

Spatiotemporal graph neural networks reveal conformational binding signature in protein dynamics See

Biomolecular function is often controlled by structural and dynamical adaptations to binding events. Although molecular dynamics (MD) simulations can capture these events at atomic resolution, separating functional signatures from stochastic noise remains challenging. Traditional methods often struggle to ...

Methodological advances in injury surveillance and injury inciting event analysis in elite UK netball See

Injury remains a persistent challenge in netball across all levels of participation, yet limitations in how injuries are defined, captured and described have constrained injury prevention efforts. To address these limitations, this thesis aimed to develop and apply robust methods...

“I’m a bit of a Snowflake. I Can’t Meet the Male Expectations.” How Adolescent Boys’ Perceived Competency Shapes Their Motivation for Physical Activity. See

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