Results 91 to 100 of about 12,979 (182)

Postexercise Lactate Clearance, T2 Relaxation, and J‐Modulation in Human Skeletal Muscle Measured With Double‐Quantum Filtered 1H MRS at 7 T

Magnetic Resonance in Medicine, Volume 95, Issue 6, Page 3065-3076, June 2026.
ABSTRACT Purpose 1H MRS lactate measurements are potentially valuable for studying energy metabolism in working skeletal muscle, but some technical obstacles need to be overcome. Spectral filtering to isolate the lactate signal from overlapping lipid resonances shows promise.
Kostiantyn Repnin, Vasco Rafael Rocha dos Santos, Veronika Cap, Roberta Frass‐Kriegl, Siegfried Trattnig, Graham J. Kemp, Martin Meyerspeer   +6 more
wiley   +1 more source

An Overview of Artificial Intelligence and Machine Learning Approaches for Building Energy Analysis, Characterization, Control, and Grid Support Services Provision

WIREs Energy and Environment, Volume 15, Issue 2, June 2026.
Artificial Intelligence and Machine Learning Approaches used in Building Energy Analysis, Control, and Provision of Grid Support Services. ABSTRACT Increasing penetrations of variable renewable energy sources like wind and solar photovoltaic (PV) systems are challenging power system stability worldwide.
Jack S. Bryant, Hangxin Li, Nawanjana Maheepala, Xiaoyu Lin, Mingkun Dai, Binglong Han, Robin Guan, Lasantha Meegahapola, Shengwei Wang, Dilan Robert, Liuping Wang, Fu Xiao   +11 more
wiley   +1 more source

Subgroup Identification via Multiple Change Point Detection: Methods and Applications

WIREs Computational Statistics, Volume 18, Issue 2, June 2026.
Subgroup identification methods facilitate the discovery of clinically meaningful subpopulations with differing disease progression, improving personalized risk assessment and treatment strategies. ABSTRACT Subgroup identification is a significant research area in statistics and machine learning, aiming to partition a heterogeneous population into more
Yaguang Li, Jingli Wang, Da Zhao, Jialiang Li   +3 more
wiley   +1 more source

Data Resolution and Model Complexity in Pluvial Flood Risk Assessment: Insights and Trade‐Offs

Journal of Flood Risk Management, Volume 19, Issue 2, June 2026.
ABSTRACT The increasing severity and frequency of urban pluvial floods has prompted numerous research studies on pluvial flood risk assessment. However, the literature reveals significant variability in the data resolutions and model types employed.
Fabrizia Fappiano, Max Maurer, João P. Leitão   +2 more
wiley   +1 more source

Kohdista: an efficient method to index and query possible Rmap alignments. [PDF]

Algorithms Mol Biol, 2019
Muggli MD, Puglisi SJ, Boucher C.
europepmc   +1 more source

Introducing the Groundbreaking Design of the First n‐Input AND Gate Using an Optical‐MOSFET With a Revolutionary Structure of Pulse‐Shaped Gates

Advanced Photonics Research, Volume 7, Issue 5, May 2026.
The paper introduces the first logic gate implementation using optical metal–oxide‐semiconductor field‐effect transistor architecture, specifically designing two‐input and three‐input AND gates based on a silicene waveguide with pulse‐shaped gates. The key innovations include: (1) pulse‐shaped gate design.
Hamed Emami‐Nejad, Ali Mir
wiley   +1 more source

Surface Plasmon Resonance (SPR) Workflow for Comparative Analysis of Nanobody Variants Binding to Lysozyme as a Model Ligand

Current Protocols, Volume 6, Issue 5, May 2026.
Abstract Developing protein interaction–based technologies such as biosensors requires a clear understanding of receptor‐target kinetics. Nanobodies, which are camelid‐derived single‐domain antibodies, are ideal biosensor receptors due to their high specificity, stability, and ease of production. During biosensor development, multiple nanobody variants
Escarlet Díaz‐Galicia, Nicoleta Gutu, Yuli Peng, Almira Valitova, Dominik Renn, Magnus Rueping   +5 more
wiley   +1 more source

Information theory inspired optimization algorithm for efficient service orchestration in distributed systems. [PDF]

PLoS One, 2021
Lima MS.
europepmc   +1 more source

Selective Modulation of Evidence Accumulation by Hippocampal Theta Oscillations During Mnemonic Decision‐Making

Human Brain Mapping, Volume 47, Issue 7, May 2026.
Hippocampal theta power during memory retrieval predicts evidence accumulation in a mnemonic similarity task. Trial‐level MEG signals were integrated with a linear ballistic accumulator model, revealing that theta oscillations modulate decision dynamics, linking neural variability to memory‐based discrimination performance.
Pei L. Robins, Jessica R. Gilbert, Bruce Luber, Nadia Mustafa, Eesha Bharti, Jeffrey D. Stout, Frederick W. Carver, Zhi‐De Deng   +7 more
wiley   +1 more source

A blended modeling framework for real-time design and verification of safety-critical embedded systems. [PDF]

PLoS One
Awan MM, Anwar MW, Butt WH, Azam F.
europepmc   +1 more source