Advanced Science, EarlyView.Frequent sweetened beverage consumption is associated with accelerated biological aging in a large Chinese population. Five gut microbial genera are consistently enriched in both frequent sweetened beverage consumers and individuals with accelerated aging and show significant mediating effects, suggesting a potential microbiota‐related pathway linking ...
Yuwei Shi +14 more
wiley +1 more source
Minimum Vertex Cut with Reachable Set (MVCRS) Problem for Suppressing Botnet Propagation in IoT Networks: Complexity and Algorithms. [PDF]
Sensors (Basel)Yamaguchi S.
europepmc +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
Advanced Science, EarlyView.We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
Research on Error Compensation Methods of Dynamic Gravity Measurement Based on Swarm Cooperation Evolution Strategy and Optimized LSTM. [PDF]
Entropy (Basel)Li X +5 more
europepmc +1 more source
Real‐Time Investigation of Interfacial Evolution in Electrochemical Energy Storage Systems via EQCM
Advanced Science, EarlyView.Understanding the electrode/electrolyte interface (EEI) is crucial for supercapacitors and batteries. EQCM, by enabling real‐time monitoring of mass changes during charge–discharge cycles, has evolved into a vital method for analysis of EEI. It provides important insights into charge‐storage mechanisms, electrode structural evolution, ion‐transfer ...
Zixuan Wang, Situo Cheng, Guang Feng
wiley +1 more source
A Modified Polynomial Hysteretic Model for Asymmetric Vertical Hysteretic Behavior of Inclined Rubber Bearings. [PDF]
Polymers (Basel)Li Z, Chen Y, Xiao Z, Liu B.
europepmc +1 more source
Advanced Science, EarlyView.To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong +11 more
wiley +1 more source
DC bias optimization in intelligent DCO-OFDM Li-Fi systems using hybrid machine learning with hardware validation. [PDF]
Sci RepAbdelhakim E +3 more
europepmc +1 more source
Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations
Advanced Science, EarlyView.Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford +3 more
wiley +1 more source
Sustainable metal recovery from waste printed circuit boards through citric acid leaching using response surface methodology and predictive modelling. [PDF]
RSC AdvIqbal SS, Shah OI, Dutta D.
europepmc +1 more source