Results 221 to 230 of about 27,723 (301)
AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source
Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee +9 more
wiley +1 more source
Temporal trends in tuberculosis incidence among the aging population in Southwest China: a retrospective study. [PDF]
Yu Y +10 more
europepmc +1 more source
LiF‐rich solid electrolyte interphases in lithium metal batteries are redefined as controllable nanostructured building blocks rather than homogeneous protective films. This review shows how LiF distribution, grain boundaries, and heterogeneous interfaces govern electron blocking and Li ion transport, and compares fluorinated electrolytes, artificial ...
Gwangsik Kim, JinHyeok Cha
wiley +1 more source
Hierarchical forecasting of COVID-19 cases in Africa using machine learning models. [PDF]
Shoko C, Sigauke C, Makatjane K.
europepmc +1 more source
A nanoporous SiO2 memristor enabling reconfigurable volatile and non‐volatile switching within a single device is demonstrated. The dual‐mode functionality supports both physical reservoir dynamics and synaptic weight storage, allowing unified hardware implementation of reservoir computing for temporal information processing, including image and ...
Bohao Ding +5 more
wiley +1 more source
Application of a novel approach for dementia prevalence prediction in Taiwan. [PDF]
Yang CH +4 more
europepmc +1 more source
Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao +4 more
wiley +1 more source
The role of statistical methods and artificial intelligence in inventory management for manufacturing industries: a systematic literature review. [PDF]
Royani AD +7 more
europepmc +1 more source
An integrated probiotic system is engineered to execute a programmed therapeutic cascade against inflammatory bowel disease. Upon pathological signals, the system sequentially performs ROS scavenging, tungsten release, and selective pathogen suppression, thereby breaking the oxidative stress–dysbiosis cycle to remodel gut microbiota and reinforce ...
Yang Yang +8 more
wiley +1 more source

