Results 111 to 120 of about 33,521 (261)

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Toward Complex In‐Car Environment Human–Vehicle Interactions Through Smart Glasses and sEMG‐Based Gesture Recognition

Advanced Intelligent Systems, EarlyView.
This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang, Wenting Wei, Kuang Li, Chuyuan Bian, Junkai Xu, Jianing Qiu, Yuxi Lu, Bin He, Shuo Jiang   +8 more
wiley   +1 more source

Road traffic noise modelling and monitoring

Traffic noise pollution is a critical environmental issue with significant impacts on human health and well-being in urban areas. Accurate monitoring and modelling of road traffic noise are essential for effective noise mitigation and urban planning strategies.
openaire   +1 more source

Interpretable Short‐Term Electric Load Forecasting

Advanced Intelligent Systems, EarlyView.
A temporal fusion transformer is implemented to generate day‐ahead forecasts of the hourly electrical load of a departmentbuilding at an Italian university. A forecasting performance improvement of more than 25% compared with established benchmark models and a provision of inherent robust interpretability insights reveal the potential of this model for
Alessandro Nicola, Giorgia Ghione, Vincenzo Randazzo, Vincenzo Franzitta, Marco Badami, Eros Pasero, Giansalvo Cirrincione   +6 more
wiley   +1 more source

Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training

Advanced Intelligent Systems, EarlyView.
The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez, Raúl Parada, Jordi Casas‐Roma, Laia Subirats   +3 more
wiley   +1 more source

NO NĀ PUA: Exploring the feasibility of culture‐based social prescribing on firefighters' wellbeing in Hawaiʻi

American Journal of Community Psychology, EarlyView.
Abstract Firefighters face an array of stressors due to the demands of their occupation, leading to a high prevalence of mental health challenges. Social prescribing represents a novel approach to healthcare that emphasizes a holistic view of health and wellbeing.
Janice Ikeda, Margary Martin, Misty Pacheco   +2 more
wiley   +1 more source

Dissecting the dissection laboratory: Elements for designing a human anatomy laboratory

Anatomical Sciences Education, EarlyView.
Abstract The human anatomy dissection laboratory is a critical component of anatomical and medical education. Development, maintenance, and stocking of these laboratory spaces have unique demands, with all of the challenges in running a laboratory with Biosafety Laboratory Level 2 (BSL‐2) classification, housing a large volume of tissues saturated with
Rhiannon E. Robinson, Abbey Breckling, Danielle N. Edwards, Nicole Geske, Burhan Gharaibeh, Bobbie J. Leeper, Molly Ostwald, Mary Schilling, Bridgett Severt, Kelsey Stevens, J. P. Swigart, Jonathan J. Wisco, Melissa Zolnierz, Jeremy J. Grachan   +13 more
wiley   +1 more source

Atypical Cerebellar Responses are Associated with Altered Neural Habituation during Sensory Stimulation in Autism

Autism Research, EarlyView.
ABSTRACT Sensory processing atypicalities are highly prevalent in autistic youth; yet, the neural mechanisms underlying these differences are not well understood. While the cerebellum plays a key role in sensorimotor coordination and is structurally and functionally atypical in the autistic brain, it has been overlooked in research investigating ...
Melis E. Cakar, Kaitlin K. Cummings, Susan Y. Bookheimer, Mirella Dapretto, Shulamite A. Green   +4 more
wiley   +1 more source

Current evidence and insights on single vs. double dose of basiliximab in adult solid organ transplant recipients: A systematic review

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aim The aim of this systematic review was to assess all available clinical data regarding the use of a single dose of basiliximab in solid organ transplantation compared to the standard double dosage, with particular interest in efficacy, safety and cost‐savings.
Alessio Provenzani, Braidon A. Lape, Anneliese M. Harp, Victoria Weisbrod, Lavinia Piazza   +4 more
wiley   +1 more source

Impact of Agitation Power Input on Aspergillus oryzae Metabolism: Application of Multi‐Omics on an Industrial Enzyme Fermentation

Biotechnology and Bioengineering, EarlyView.
ABSTRACT The agitation power input substantially impacts the oxygen transfer rate in aerobic fermentation processes. Furthermore, in a carbon‐limited process where the substrate feed rate is controlled by the concentration of dissolved oxygen, the power input will consequently govern the feed rate.
Mariana Albino, Jean‐Marie Mouillon, Gisela Nadal‐Rey, Carina L. Gargalo, Ulrich Krühne, Krist V. Gernaey, Mads O. Albæk   +6 more
wiley   +1 more source