Results 221 to 230 of about 105,151 (260)
Predicting Surface Roughness in Turning Complex-Structured Workpieces Using Vibration-Signal-Based Gaussian Process Regression. [PDF]
Chen J, Lin J, Zhang M, Lin Q.
europepmc +1 more source
Tian et al. reveal that FH K112 lactylation is elevated after TBI, leading to fumarate accumulation, mitochondrial damage, mtDNA release and amplified neuroinflammation. AARS2 and SIRT3 act as the “writer” and “eraser” for FH K112 lactylation. The peptide Pep‐K112 targeting this site alleviates brain injury, highlighting a potential therapeutic target.
Yang Tian +21 more
wiley +1 more source
KFO‐Atlas reveals how real‐world aromas are organized as structured mixtures rather than individual molecules. Building on these principles, KFO‐Gen, a generative AI framework, designs perceptually valid aroma formulations and reconstructs meat‐like aromas exclusively from plant‐derived odorants, providing a foundation for mixture‐level studies and AI ...
Jingzhi Zhang +5 more
wiley +1 more source
Recent advances in metasurface‐enabled low‐observable technologies are reviewed from the perspective of cross‐scale material–structure synergy. Electromagnetic, thermal, optical, and acoustic stealth are highlighted together with dynamic tuning, programmable coding, data‐driven inverse design, artificial intelligence, multispectral compatibility, and ...
Shuhao Wang +5 more
wiley +1 more source
Reliability Analysis and Optimization of a Reconfigurable Matching Network for Communication and Sensing Antennas in Dynamic Environments through Gaussian Process Regression. [PDF]
Van Brandt S +7 more
europepmc +1 more source
A multi‐level analytical framework, integrating protein‐level persistence analysis, nontargeted HRMS formula tracking, peptide‐level proteomics, and targeted monomer quantification under varying redox conditions, together with FMO calculations reveal that ammonification is limited by medium molecular weight nitrogenous multimers.
Jing Li +4 more
wiley +1 more source
Predicting hydrogen atom transfer energy barriers using Gaussian process regression.
Ulanov E +4 more
europepmc +1 more source
Predicting Enzyme Turnover Numbers and Enabling Rational Enzyme Evolution
MCKcat, a deep learning framework combining multi‐scale convolution and cross‐attention, accurately predicts enzyme turnover number (kcat) by fusing sequence and reaction representations. It couples with rational design in a two‐step strategy for Bacillus aryabhattai laccase engineering, achieving a 75% positive rate with synergistically enhanced ...
Fengya Ge +6 more
wiley +1 more source
Smart Bioinks for 4D Bioprinting: Requirements, Design, and Applications
Smart bioinks empower 4D‐bioprinted constructs to dynamically adapt and remodel in response to stimuli, effectively biomimicking native tissues. Artificial Intelligence (AI) and Machine Learning (ML) play a guiding role in their rational design by optimizing relevant properties.
Shangsi Chen +11 more
wiley +1 more source
Gaussian Process Regression for Trajectory Analysis.
Cox, Gregory +2 more
openaire +1 more source

