Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)
Advanced Science, EarlyView.ABSTRACT On‐site monitoring of microorganisms remains challenging because of low concentrations, strong background interference, and dynamic aerosol diffusion, particularly for aerosol‐transmitted pathogens. Here, we report a rapid detection platform that integrates a Puri‐focusing microfluidic chip, electrochemical impedance spectroscopy (EIS), and ...
Ning Yang +14 more
wiley +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
Advanced Science, EarlyView.The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Environmental safety thresholds for children with asthma symptoms: a prospective study of multitemporal air pollution exposure and longitudinal trajectories. [PDF]
Front Public HealthChen T, Wang C, Chen L.
europepmc +1 more source
Advanced Science, EarlyView.A physics‐based framework resolving graphite phase‐separation dynamics establishes a predictive, degradation‐aware fast‐charging methodology for commercial Li‐ion batteries. The resulting model‐informed protocol achieves 20%–80% state‐of‐charge in 14 min while matching the long‐term degradation of a commercial 25‐minute EV strategy.
Marco Lagnoni +10 more
wiley +1 more source
Reliability, bias, and computational cost of estimating the Bayes factor using bridge sampling and the Savage-Dickey density ratio. [PDF]
Behav Res MethodsOberauer K, Musfeld P, Aust F.
europepmc +1 more source
Advanced Science, EarlyView.A dual‐network protein hydrogel substantially improves hemostasis and scar‐free healing.The adaptive network maintains intimate tissue contact while providing strong wet adhesion, tunable mechanics, and controlled degradation. Concurrent ROS scavenging and M2 polarization suppress fibrotic pathways, preventing scar formation.
Xiaomei Li +11 more
wiley +1 more source
GLOBE: an explainable machine learning platform for preoperative prediction of thromboembolism and neurological deterioration in patients with glioma. [PDF]
Front NeurosciXiang F, Yang X, Xiang S, Fu M, Yang G.
europepmc +1 more source
Advanced Science, EarlyView.Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
Interpretable machine learning for postoperative nausea and vomiting prediction in elderly orthopedic patients: a comparative study. [PDF]
BMC Med Inform Decis MakLi LH, Guo H, Wang H, Xie YB.
europepmc +1 more source
Engineering Neuronal Network Connectivity Through Precise and Scalable Electrical Modulation
Advanced Science, EarlyView.This study presents a scalable all‐electrical method for precise neuronal‐circuit reconfiguration based on high‐density microelectrode arrays. By employing biologically inspired plasticity rules, targeted connectivity changes were successfully induced and quantified across diverse neuronal preparations.
Sreedhar S. Kumar +10 more
wiley +1 more source