Machine‐Learning Microfluidic Minute‐Scale Microorganism Metrics Monitoring(M6)
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
Correlation based feature importance analysis for improving machine learning stability predictions in hybrid PV systems. [PDF]
Swarnkar V +4 more
europepmc +1 more source
Atomic Tuning of Metal‐Support Interactions for Pathway‐Selective CO2 Photoreduction on TiO2
Single‐atom Fe and Cu catalysts anchored on TiO2 steer photocatalytic CO2 reduction toward distinct pathways. Fe sites favor rapid *CO desorption and selective CO formation, whereas Cu sites stabilize *CHO intermediates, enabling deep reduction and C─C coupling. Combined spectroscopy and DFT calculations reveal how metal–support interactions and oxygen
Dongyun Kim +13 more
wiley +1 more source
Pupillometry for pain assessment in noncommunicating children in the pediatric intensive care unit: a prospective accuracy study. [PDF]
Portefaix A +7 more
europepmc +1 more source
The Importance of Metal‐Organic Framework Linker Atoms for CO2 Reduction: A DFT Study
Using DFT, we examine the role of linker atoms in CO2 reduction on copper‐based metal organic frameworks (Cu MOFs). Our calculations reveal that linker atoms may serve as both CO2 and H‐shuttling sites and suggest linker electrostatics as a descriptor for linker activity. ABSTRACT Although the metal within the secondary building unit of a metal‐organic
Ugochukwu Nwosu, Samira Siahrostami
wiley +1 more source
Management of pulmonary thromboembolism in children: an evidence-based expert consensus. [PDF]
Zeng LN +30 more
europepmc +1 more source
Traction Force Microscopy for Viscoelastic Substrates: A Semi‐Analytical Method
A semi‐analytical viscoelastic traction force microscopy framework is introduced for quantifying time‐resolved cell tractions on flat finite‐thickness substrates. The method generalizes elastic traction force microscopy to Generalized Maxwell materials, identifies when elastic approximations remain valid and, when they do not, shows that inferred ...
Adrià Villacrosa‐Ribas +10 more
wiley +1 more source
Maximal Dissipation and Well-Posedness of the Euler System of Gas Dynamics. [PDF]
Feireisl E +2 more
europepmc +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Expression patterns of carbonic anhydrase IX and immune response biomarkers in pediatric gliomas and glioneuronal tumors. [PDF]
Kapitančukė M +11 more
europepmc +1 more source

