Applied mathematics. quantitative methods

Results 211 to 220 of about 480,954 (251)

Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence

Advanced Science, EarlyView.
Individual responses to food vary dramatically, challenging traditional dietary advice. This review explores how the unique genetic makeup, gut microbiome, and brain activity shape host metabolic health. We examine how artificial intelligence integrates these multimodal data to predict individualized dietary needs, moving beyond one‐size‐fits‐all ...
Yuanqing Fu +5 more
wiley +1 more source

Physical activity and academic performance in adolescents: a systematic review of intensity, frequency, and mediating factors. [PDF]

J Exerc Rehabil
Jee H.
europepmc +1 more source

Unsupervised Hierarchical Symbolic Regression for Interpretable Property Modeling in Complex Multi‐Variable Systems

Advanced Science, EarlyView.
UHSR translates complex chemical behavior into clear and explainable equations. Applied to thin‐layer chromatography, it automatically uncovers the mathematical rules linking a molecule's structure to its polarity. This approach matches the accuracy of advanced AI while providing interpretable results, earning greater trust from chemists. The method is
Siyu Lou +4 more
wiley +1 more source

Mathematics teachers' AI literacy, anxiety, and perceptions of AI integration in mathematics education: a mixed-methods study. [PDF]

BMC Psychol
İnci Kuzu Ç.
europepmc +1 more source

Persistently Increased Expression of PKMzeta and Unbiased Gene Expression Profiles Identify Hippocampal Molecular Traces of a Long‐Term Active Place Avoidance Memory and “Shadow” Proteins

Advanced Science, EarlyView.
Protein complexes like KIBRA‐PKMζ are crucial for maintaining memories, forming month‐long protein traces in memory‐tagged neurons, but conventional RNA‐seq analysis fails to detect their transcript changes, leaving memory molecules undetected in the shadows of abundantly‐expressed genes.
Jiyeon Han +10 more
wiley +1 more source

AI-enabled prediction and transformation analysis of phases in multi-component nitride thin films and coatings. [PDF]

iScience
Zhu Y, Cui J, Ren J.
europepmc +1 more source

Hierarchical Artificial Muscle with Nonlinear Elasticity for Antagonistic and Cyclic Robotics

Advanced Science, EarlyView.
We construct hierarchical muscles by plying nylon fibers around a heating wire. The hierarchical muscle shows a J‐shaped passive curve, which shows benefit in antagonistic muscle pair and work accumulation mechanism. We also develop a computational, first‐principle model to understand the physics of both active actuation stroke and passive J‐curve ...
Samuel Tsai +15 more
wiley +1 more source

Fluorinated Hypoxia‐Responsive Aza‐BODIPY for NIR‐II FL/19F MR/PA Imaging and Phototherapy of Lung Cancer

Advanced Science, EarlyView.
Fluorinated N‐oxide aza‐BODIPY nanoemulsions integrate fluorination‐driven molecular design with co‐assembly in fluorinated oil for multimodal imaging‐guided phototherapy. The co‐assembly redshifts fluorescence into the NIR‐II window for deep‐tissue imaging and provides a unified 19F signal for background‐free, quantitative MRI.
Anfeng Li +5 more
wiley +1 more source

Multi-resolution tone mapping for high dynamic range medical ultrasound images. [PDF]

PLoS One
Vu TLN +4 more
europepmc +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source

quantitative methods
applied mathematics