Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Long-term high-sensitivity C-reactive protein trajectories and risk of major adverse cardiovascular events in statin-treated patients: a retrospective cohort. [PDF]
Ma Q, Wang S, Chen H.
europepmc +1 more source
Morphology, Transport, and Dynamics of Protein Adsorption in Open‐Cell Metal Foam
Stainless steel (SS) open‐cell foams are shown to adsorb more protein per unit area than previously reported 316L SS and chromium oxide surfaces under static and flow conditions. An integrated approach combining 3D pore imaging, flow simulation, and protein adsorption experiments characterizes the foam’s performance.
Chinmaya Prerana Inguva +2 more
wiley +1 more source
SPOT: An Early Detection Tool for Predicting Pain Trajectories Following Intra-Articular Injections. [PDF]
Nelson BL +7 more
europepmc +1 more source
FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery
We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin +16 more
wiley +1 more source
Late-Course Lactate/Albumin Ratio and In-Hospital Mortality in CRRT-Treated Critically Ill Patients: A Retrospective Severity-Adjusted Analysis. [PDF]
Şenay H +7 more
europepmc +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
Real-to-Sim Calibration and Cross-Domain Trajectory Validation of a Low-Cost Multi-Sensor UGV Digital Twin. [PDF]
Villagomez Alfaro C +3 more
europepmc +1 more source
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
Gastric Residual Volume as a Candidate Brain-Gut Signal in Neurocritical Care: An Exploratory, Hypothesis-Generating Retrospective Cohort Study. [PDF]
Lee GH +5 more
europepmc +1 more source

