Results 191 to 200 of about 637,735 (265)
Process Phase Estimation and Deviation Detection for Manual Soldering Based on Motion Analysis. [PDF]
Wakabayashi K, Oda T.
europepmc +1 more source
Patients improve, patterns persist: longitudinal stability of RA joint involvement patterns
Objective Rheumatoid arthritis is a heterogeneous disease. Data‐driven approaches, from synovial histology to joint involvement patterns (JIPs), have sought to define clinically meaningful subgroups. Whether these subgroups represent stable phenotypes or transient disease states remains unclear.
Tjardo Maarseveen +24 more
wiley +1 more source
Team Synergies in Professional Football: A Goal-Referenced Performance Indicator for Rapid Ball Recovery in Negative Transitions. [PDF]
Serra E +7 more
europepmc +1 more source
Positive Affect is Associated with Better Physical Function in Early Rheumatoid Arthritis
Objective This study examined the association between positive affect and physical function in individuals with early rheumatoid arthritis (RA). Methods We analyzed baseline data from 129 adults with early RA (persistent joint symptoms for ≤ 24 months) and active disease enrolled in the Central Pain in RA 2 (CPIRA‐2) study.
Burcu Aydemir +9 more
wiley +1 more source
Gating Modes in Ion Mobility-Mass Spectrometry: Principles, Advances, and Coupling With Mass Analyzers. [PDF]
Li T, Xiong S, Jiang T, Xu W.
europepmc +1 more source
β‐Catenin/c‐Myc Axis Modulates Autophagy Response to Different Ammonia Concentrations
Ammonia, detoxified by the liver into urea and glutamine, impacts autophagy differently at varying levels. Low ammonia activates autophagy via c‐Myc and β‐catenin, while high levels suppress it. Using Huh7 cells and Spf‐ash mice, c‐Myc's role in cytoprotective autophagy is revealed, offering insights into hyperammonemia and potential therapeutic ...
S. Sergio +11 more
wiley +1 more source
Design Patterns for the Development and Implementation of Bioacoustic Deep Learning Recognizers. [PDF]
Hurd G, Baron R, Whittington J.
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source

