Results 171 to 180 of about 1,140,749 (250)

Epilepsy syndromes classification

Epilepsia Open, EarlyView.
Abstract Epilepsy syndromes are distinct electroclinical entities which have been recently defined by the International League Against Epilepsy Nosology and Definitions Task Force. Each syndrome is associated with “a characteristic cluster of clinical and EEG features, often supported by specific etiologic findings”.
Elaine C. Wirrell, Nicola Specchio, Rima Nabbout, Phillip L. Pearl, Kate Riney   +4 more
wiley   +1 more source

Auditory gamma‐band synchronization and attentional performance in juvenile myoclonic epilepsy

Epilepsia Open, EarlyView.
Abstract Objective Cognitive difficulties in juvenile myoclonic epilepsy (JME) are part of the clinical phenotype alongside epileptic seizures; however, the underlying neurophysiological mechanisms remain unclear. Auditory steady‐state responses (ASSRs) to repetitive 40‐ and 80‐Hz stimuli are widely used measures of gamma‐band oscillations (GBOs ...
Ryo Mitoma, Shunsuke Tamura, Yoji Hirano, Takako Mitsudo, Yubin Sung, Takahiko Mukaino, Takahiro Yamaguchi, Kou Matsumoto, Toshiaki Onitsuka, Shogo Hirano, Tomohiro Nakao, Noriko Isobe, Hiroshi Shigeto   +12 more
wiley   +1 more source

A Probabilistic Fractional Order Physics Informed Mamba Kolmogorov‐Arnold Network for State‐of‐Charge Estimation in Grid‐Connected Battery Energy Storage Systems

Energy Science &Engineering, EarlyView.
This paper introduces the probabilistic fractional‐order Mam‐KAN (PFO‐Mam‐KAN) controller, a physics‐informed gray‐box framework for real‐time battery state‐of‐charge estimation. By unifying efficient Mamba encoders with uncertainty‐aware fractional physics, it achieves superior 0.31% RMSE accuracy and robust grid‐support operation under dynamic ...
Arun Kumar Rawat, Subhash Chandra, Vinay Kumar Deolia   +2 more
wiley   +1 more source

The Feasibility Test of Electric Propulsion Systems: Case Study for a Light and Fixed‐Wing Aircraft

Energy Science &Engineering, EarlyView.
ABSTRACT This study investigates the feasibility and performance of a fully electric propulsion system (EPS) integrated into a light fixed‐wing aircraft. The system consists of a 65 kW‐class electric motor, a high‐efficiency inverter, and dual lithium‐ion battery packs with a total capacity of 27 kWh—collectively engineered to fulfill both power ...
Byeong Gyu Gang
wiley   +1 more source

Battery Degradation Reduction in Flywheel–Battery Hybrid Energy Storage Using SSA‐Optimized Fuzzy‐PI Control

Energy Science &Engineering, EarlyView.
SSA‐optimized fuzzy‐PI control reduces battery stress in flywheel–battery hybrid energy storage systems by shifting transient power fluctuations to the flywheel. The strategy decreases ampere‐hour throughput by 46.1% and rainflow damage by 71% while maintaining stable DC‐bus regulation.
ZiFen Han, Xiping Ma, He Sheng, Qibin Zhu, Ke Wang, Chenyu Wu   +5 more
wiley   +1 more source

A multilevel perspective on MSH6‐associated Lynch syndrome: Integrating molecular, biological, and clinical insights

International Journal of Cancer, EarlyView.
Abstract Lynch syndrome (LS) is the most common hereditary colorectal cancer syndrome, caused by a germline pathogenic variant in one of the mismatch repair (MMR) genes. Among these, MSH6‐associated LS represents a distinct subtype with unique molecular and clinical characteristics.
Salwa Ben Yahia, Anne‐Sophie van der Werf‐'t Lam, Madalina Cabuta, Maartje Nielsen, Noah C. Helderman   +4 more
wiley   +1 more source

Global Real‐World Outcomes of Olaparib in Metastatic Castration‐Resistant Prostate Cancer Patients With Homologous Recombination Repair Alterations

International Journal of Cancer, EarlyView.
ABSTRACT Evidence to guide the treatment for patients with metastatic castration‐resistant prostate cancer (mCRPC) and Homologous Recombination Repair (HRR) gene alterations outside of clinical trials remains limited. This was an observational, cohort study, including mCRPC patients with tumor harboring HRR alterations, progressed on a prior androgen ...
Lorena Incorvaia, Daniele Santini, Marc R. Matrana, Marco Maruzzo, Ray Manneh Kopp, Lorenzo Antonuzzo, Sergio Bracarda, Deniz Tural, Giuseppe Procopio, Maria T. Bourlon, Orazio Caffo, Martin Ignacio Zapata Laguado, Massimo Di Maio, Brigida Anna Maiorano, Vincenza Conteduca, Sabrina Rossetti, Helga Lipari, Thomas Büttner, Mimma Rizzo, Yüksel Ürün, Carlo Messina, Fernando Sabino Marques Monteiro, Andrey Soares, Mattia Puglisi, Alice Principi, Eleonora Lai, Giulia Mammone, Marco Stellato, Ilaria Depetris, Tancredi Didier Bazan Russo, Isadora Yasbick Spricido, Camila Bobato Lara Gismondi, Francesco Massari, Nicola Pavan, Matteo Santoni, Tarek Taha   +35 more
wiley   +1 more source

Human biomarker navigator

iMeta, EarlyView.
The Human Biomarker Navigator integrates the disease continuum, biomarker dynamics, cross‐organ biomarker networks, biomarker classification, and technology‐driven paradigms. It maps how biomarkers link multi‐system physiology and pathology across the nervous, respiratory, endocrine, circulatory, immune, digestive, urinary, reproductive, and ...
Meng‐Yao Li, Qian Zhang, Zijie Wang, Zeping Gui, Jing Liu, Jingda Li, Maojun Jiang, Zukang Chang, Qingqing Han, Bendong Yang, Tariq Saeed, Jun Li, Jinghan Jia, Chenghu Song, Tong Shao, Tianhuan Peng, Xueying Zhang, Pingping Guo, Jun Luo, Gangao Yang, Yuan Wan, Gokhan Zengin, Quan Yuan, Lingru Li, Xiaohui Fan, Yang Luo, Lvyun Zhu, Yanfei Zheng, Wenjun Mao, Wenlong Sun   +29 more
wiley   +1 more source

Multi‐command wearable magnetic human‐machine interface enabled by low‐noise sensing and time‐series deep learning

InfoScience, EarlyView.
This study integrates a wrist‐worn sensing platform based on a low‐noise planar Hall magnetoresistive sensor with time‐series deep learning to enable long‐range, single‐sensor, multi‐command gesture recognition with high accuracy. Further evaluations show reliable generalization across different days, previously unseen users, wearing‐position ...
Guannan Mu, Proloy Taran Das, Jan Schmidtpeter, Andreas Knüpfer, Rui Xu, Denys Makarov   +5 more
wiley   +1 more source

A Semi‐Automated Microfluidic Platform Employing Machine Learning Analysis to Study Adhesion Kinetics in Acute Myeloid Leukemia

Microscopy Research and Technique, EarlyView.
We have developed a semi‐automated shear flow platform using bright‐field optics and a machine‐learning analysis algorithm to dissect tumor‐microenvironment interactions. The algorithm quantifies the extent of adhesion at the single‐cell level and delivers consistent results within minutes instead of hours, facilitating high‐throughput analysis ...
Driti Ashok, Dennis Raith, Gabriel Kalweit, Maria Kalweit, Anusha Klett, Justus Duyster, Jonas Bermeitinger, Tanja Nicole Hartmann   +7 more
wiley   +1 more source