Results 181 to 190 of about 713,409 (294)
Measuring intolerance to mutation in human genetics
Zachary L. Fuller +4 more
semanticscholar +1 more source
Objectives Pulmonary fibrosis (PF) is a severe extra‐articular manifestation of rheumatoid arthritis (RA). The study aimed to externally validate a genetic risk score (GRS) and a combined risk score for predicting the risk of RA‐associated PF in an independent cohort of early‐RA patients. Methods This study utilized an inception cohort of 1118 patients
Mikael Brink +3 more
wiley +1 more source
Effects of inbreeding on balancing selection: insights from Fisher's geometric model. [PDF]
Olito C, Connallon T.
europepmc +1 more source
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley +1 more source
A gene-based model of fitness and its implications for genetic variation: genetic and inbreeding loads. [PDF]
Johri P, Charlesworth B.
europepmc +1 more source
In this study, Seaman et al. develop a co‐culture assay to examine interactions between prostate cancer cells and mineralized osteoblasts in a microfluidic platform. The authors collect conditioned media from static or flow‐stimulated osteocytes and demonstrate that mechanical loading of osteocytes regulates the growth of prostate cancer cells and ...
Kimberly Seaman +5 more
wiley +1 more source
Genomic prediction of agronomic traits in perennial ryegrass (Lolium perenne L.) and genotype x environment interactions at the limit of the species distribution. [PDF]
Johansen NH +15 more
europepmc +1 more source
Machine Learning Applied to High Entropy Alloys under Irradiation
Designing alloys for extreme environments demands fast, trustworthy prediction. This review charts how machine learning—especially machine‐learned interatomic potentials and predictive models based on experiment‐informed datasets—captures the complexity of high‐entropy alloys in extreme environments, predicts phase formation, mechanical properties, and
Amin Esfandiarpour +8 more
wiley +1 more source
Primary phases and a fatigue crack are studied in a forged blank of an aluminum alloy using synchrotron and laboratory X‐ray computed tomography. To image the crack, the fatigue test is interrupted, and a static tensile load is applied to open the crack.
Jakob Schröder +6 more
wiley +1 more source
GWAS significance thresholds in large cohorts of European ancestry. [PDF]
Cheruiyot EK, Yang T, McRae AF.
europepmc +1 more source

