Results 31 to 40 of about 306 (143)

Dorsal raphe tau pathology disrupts sleep‐wake orchestration and sleep architecture in a sex‐specific manner

Alzheimer's &Dementia, Volume 22, Issue 8, August 2026.
Abstract INTRODUCTION Sleep disturbances are frequent symptoms of Alzheimer's disease (AD), mirrored by early pathology in the dorsal raphe nucleus (DRN). Whether early DRN pathology can drive sleep disturbances, and the relative contributions of serotonin (5‐HT) and sex, has not been directly tested.
Louis J. Kolling, Ruixiang Wang, Gabriel S. Gaudencio, Jamie S. Fishbeyn, Thomas D. James, Suzanne M. Mason, Riley O. McCoy, Zhimin Song, Ian Pascal McConnell, Kylie Ziemke, Kasia M. Janik, Yu Xu, Gabrielle Bierlein‐De La Rosa, Shafa Ismail, Catherine Anne Marcinkiewcz   +14 more
wiley   +1 more source

Real‐Time Incremental Learning Artificial Neural Networks Maximum Power Point Tracking With Raspberry Pi‐Based Meteorological Data Acquisition

Energy Science &Engineering, Volume 14, Issue 8, Page 3741-3773, August 2026.
We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine, Noureddine El Barbri, Mourad Yessef, Mohammed M. Alammar, Z.M.S. El‐Barbary, Hatim Ameziane   +5 more
wiley   +1 more source

Rebalancing Software Defect Datasets via Mutation: Performance Insights From Prediction Models Based on Software Measures

Software Testing, Verification and Reliability, Volume 36, Issue 5, August 2026.
A mutation‐based approach (MBA) to rebalance defect datasets improves recall, particularly in cross‐project prediction, but increases false alarms and does not consistently enhance MCC or AUC. These findings highlight both the potential and limitations of mutation‐based rebalancing in software defect prediction.
Dinçer Güner, Görkem Giray, Onur Demirörs   +2 more
wiley   +1 more source

Speech and Language Markers of Bipolar Disorder: Challenges and Opportunities

Bipolar Disorders, Volume 28, Issue 5, August 2026.
ABSTRACT Background Clinicians aspire to predict the emergence of Bipolar Disorder (BD) in a timely manner. To accomplish this, markers reflecting mental states that can be gathered non‐invasively and at large scale are needed. Here, we systematically evaluate evidence relating speech‐based markers to mood states in BD.
Farida Zaher, Jessica Ahrens, Delphine Raucher‐Chéné, Alban Voppel, Lena Palaniyappan   +4 more
wiley   +1 more source

AlquistCoder: A Synthetic Data Approach to Training Compact Secure Coding Assistants and Building Security Benchmarks

Computational Intelligence, Volume 42, Issue 4, August 2026.
ABSTRACT Large language models are increasingly used as programming assistants, but their security behavior remains uneven: they may generate code with vulnerable patterns, and they may provide actionable help for malicious requests. This paper introduces AlquistCoder, a compact 3.8B‐parameter coding assistant designed to address both risks through ...
Ondřej Kobza, Adam Černý, Ivan Dostál, Jan Šedivý, Maria Rigaki, Muris Sladić, Sebastian Garcia   +6 more
wiley   +1 more source

Beyond prejudice reduction: Personal and civic effects of intergroup contact among marginalized youth in Northern Ireland

Political Psychology, Volume 47, Issue 4, August 2026.
Abstract Intergroup contact reduces prejudice, but its potential to foster broader personal and societal change remains understudied. We address these gaps by examining a large‐scale peacebuilding intervention (PEACE4Youth) among marginalized youth in post‐conflict Northern Ireland.
Danielle L. Blaylock, Patrick F. Kotzur, Alexander W. O'Donnell, Rhiannon N. Turner, Stephanie Burns, Laura K. Taylor, Linda R. Tropp   +6 more
wiley   +1 more source

Machine Learning Accelerated Computational Design of Bio‐Inspired Catalysts in the Nitrogen Reduction Reaction

Advanced Materials, Volume 38, Issue 39, 13 July 2026.
We introduce a computational workflow that combines quantum chemical calculations and machine learning techniques to predict the catalytic performance of a wide range of catalysts in the nitrogen reduction reaction (NRR). The analysis of the trained models provides insights into the complex structure–activity relationship in experimental catalytic ...
Leonardo Di Ciano, Zihan You, Haoran Chen, Qifan Zhong, Rong‐Zhen Liao, Shaoqi Zhan   +5 more
wiley   +1 more source

Cingulate Gradient Dysfunction in End‐Stage Renal Disease: Associations With Clinical Phenotypes and Exploratory Transcriptomic Signatures

CNS Neuroscience &Therapeutics, Volume 32, Issue 7, July 2026.
End‐stage renal disease (ESRD) patients exhibited significant cingulate gradient dysfunction, which was significantly correlated with multiple functional domains, serum urea, and hemoglobin levels. Spatially, these alterations were correlated with genes enriched in neurodegenerative pathways.
Peng Li, Jun‐Ya Mu, Xin‐Yi Zhu, Hui‐Jie Yuan, Zhao‐Yao Luo, Qian‐Ge Zhu, Xuan Niu, Xiu‐Long Feng, Yu Han, Ting Ge, Chen‐Xi Wang, Wen Wang, Ming Zhang   +12 more
wiley   +1 more source

Navigating Stress: Exploring the Role of Empathy in Caregiving

Developmental Psychobiology, Volume 68, Issue 4, July 2026.
ABSTRACT Stress can negatively impact caregiving behavior; while chronic stress is consistently associated with reduced caregiver sensitivity, evidence regarding acute stress remains mixed. This preregistered study examined the causal effects of acute psychosocial stress on caregiver sensitivity with an experimental pseudorandomized design.
Hannah Spencer, Peter A. Bos, Sabine van der Asdonk, Lenneke R. A. Alink, Renate S. M. Buisman   +4 more
wiley   +1 more source

An empirical evaluation of Lex/Yacc and ANTLR parser generation tools. [PDF]

PLoS One, 2022
Ortin F, Quiroga J, Rodriguez-Prieto O, Garcia M.   +3 more
europepmc   +1 more source