Results 171 to 180 of about 72,058 (269)

The haplotype-resolved genome assembly of the hexaploid kiwifruit Actinidia deliciosa reveals its hybrid origin and polysomic inheritance. [PDF]

Plant Commun
Li X, Kuhl H, Zhu S, Xie S, Zhang C, Huo L, Hu X, Gong J, Wang M, Yin X, Sun X.   +10 more
europepmc   +1 more source

Data‐Driven Design and Discovery of Metal–Organic Framework/Polymer Mixed Matrix Membranes

Macromolecular Materials and Engineering, EarlyView.
Integration of machine learning (ML) to current experimental and computational studies will be central to unlocking the potential of metal–organic framework (MOF)/polymer mixed matrix membranes (MMMs) by guiding materials selection, predicting membrane performance, and even synthesis conditions.
Seda Keskin
wiley   +1 more source

Optimization of physical energy and velocity allocation for cyclists in road cycling individual time trial using genetic algorithm. [PDF]

Front Physiol
Li X, Zou B, Wang X, Liu C.
europepmc   +1 more source

A Perspective of Multi‐Reflecting TOF MS

Mass Spectrometry Reviews, EarlyView.
ABSTRACT Time‐of‐flight mass spectrometry (TOF MS) excels in rapid and high‐sensitivity analysis, making it a cornerstone of analytical chemistry. But as sample complexity explodes in omics studies, so does the need for higher resolving power to ensure accurate results.
A. N. Verenchikov, V. V. Makarov, A. V. Vorobyev, S. N. Kirillov   +3 more
wiley   +1 more source

Contributions of inherited mtDNA to longevity: evidence from extended pedigrees with 176 million kinship pairs. [PDF]

EBioMedicine
Burt SA, Garrison SM, Lyu X, Rodgers JL, Carroll SL, Smith KR, Hunter MD.   +6 more
europepmc   +1 more source

Aging of Tetrafluoroethylene Propylene (FEPM) Material in High‐Pressure HighTemperature Hydrogen Sulfide Downhole Environment: Theory, Modeling, Experiments, and Material Lifetime Prediction

Macromolecular Theory and Simulations, EarlyView.
A novel approach that integrates AI‐based methodology, laboratory experimentation, and field application experience to accurately predict the lifespan of elastomeric materials in harsh downhole environments. ABSTRACT This paper presents a physics‐driven neural network (PINN) model to capture the constitutive behavior, elongation at break (EAB), modulus,
Aref Ghaderi, Hadis Nouri, Roozbeh Dargazany, Scott Meng, Peixiang Xing, Jiaxiang Ren, Peng Cheng   +6 more
wiley   +1 more source

Genetics in a Danish Common Variable Immunodeficiency Cohort. [PDF]

J Clin Immunol
Drabe CH, Laustsen MM, Marquart HV, Hartling HJ, Marvig RL, Helweg-Larsen J, Hansen AE, Lundgren J, Helleberg M, Borgwardt L, Katzenstein TL.   +10 more
europepmc   +1 more source

Integrating Long‐Read Nanopore Sequencing for Precision Resolution of Genomic Variants in Dystonia

Movement Disorders, EarlyView.
Abstract Background Although many individuals with dystonia present with features indicative of single‐gene etiologies, obtaining definitive genetic diagnoses can be challenging. Objective We assessed the value of nanopore‐based long‐read sequencing (LRS) in achieving molecular clarification of dystonic syndromes.
Ugo Sorrentino, Martin Pavlov, Nazanin Mirza‐Schreiber, Melanie Brugger, Theresa Brunet, Eugenia Tsoma, Alice Saparov, Ivana Dzinovic, Philip Harrer, Antonia M. Stehr, Matias Wagner, Erik Tilch, Barbara Wallacher, Shiraz Alhasan, Anne Koy, Alessio Di Fonzo, Miriam Kolnikova, Katarina Kusikova, Petra Havrankova, Raushana Tautanova, Sandy Lösecke, Sebastian Eck, Sylvia Boesch, Jan Necpal, Matej Skorvanek, Robert Jech, Holger Prokisch, Juliane Winkelmann, Konrad Oexle, Elisabeth Graf, Michael Zech   +30 more
wiley   +1 more source

Genetically Confirmed Familial Case of Nonsyndromic Cardiac Progeria Caused by the <i>LMNA</i> p.Asp300Asn Variant with Presumed Gonadal Mosaicism: Phenotypic Comparison with Previously Reported Patients. [PDF]

Genes (Basel)
Nuzhnaya E, Sharova M, Chubykina U, Orlova A, Vorontsova E, Vasiliev P.   +5 more
europepmc   +1 more source

Machine learning‐based research of new refractory high‐entropy alloys using guided multiobjectives search strategy

Materials Genome Engineering Advances, EarlyView.
This study introduces an integrated machine learning framework combining predictive models, a guided multiobjective search strategy, and particle swarm optimization (PSO) to discover novel refractory high‐entropy alloys with exceptional yield strengths (1580–1740 MPa) and fracture strains (23%–27%), overcoming challenges of vast composition spaces and ...
Gang Xu, Gang Niu, YongWei Wang, Qianxi He, Hongfei Liu, HuiBin Wu, Jinwu Xu   +6 more
wiley   +1 more source