Results 121 to 130 of about 467,084 (261)

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

Artificial selection for resistance to copper and off-target physiological and behavioral effects in Drosophila melanogaster. [PDF]

Ecotoxicol Environ Saf
Arnold KA, Everman ER.
europepmc   +1 more source

Artificial selection for reversal learning reveals limited repeatability and no heritability of cognitive flexibility in great tits (Parus major). [PDF]

Proc Biol Sci, 2023
van den Heuvel K, Quinn JL, Kotrschal A, van Oers K.   +3 more
europepmc   +1 more source

DigiChrom: A Domain Ontology for Semantic Representation of Trivalent Chromium Platings and Its Large Language Model‐Based Alignment With Multiple Mid‐Level Ontologies

Advanced Engineering Materials, EarlyView.
Digitalizing electroplating requires both domain knowledge and interoperability. This work introduces PlatOn, a domain ontology for trivalent chromium plating and coating characterization, and a hybrid pipeline that aligns it to a mid‐level reference ontology by combining eight similarity metrics with language model reasoning. Expert‐validated mappings
Janik Harter, Elena Garcia Trelles, Christoph Schweizer, Thomas Seifert, Christoph Baumer, Mahmoud Elkady, Katja Feige, Daniel Grimme, Edgar Hoffmann, Andreas Waibel, Anke Walter   +10 more
wiley   +1 more source

Novel artificial selection method improves function of simulated microbial communities. [PDF]

PLoS Comput Biol
Vessman B, Guridi-Fernández P, Arias-Sánchez FI, Mitri S.   +3 more
europepmc   +1 more source

Full-Length RNA Sequencing Provides Insights into Goldfish Evolution under Artificial Selection. [PDF]

Int J Mol Sci, 2023
Du X, Zhang W, Wu J, You C, Dong X.
europepmc   +1 more source

OntOMat: Toward Ontology‐Based Product and Process Design Engineering and Optimization Solutions Fueling Circular Value Chains

Advanced Engineering Materials, EarlyView.
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ, Jörg Hohe, Martin Kördel, Michael Giese, Niklas Toffert, Christian Seidel, Olaf Rehme, Patrik Schneider, Oliver Focke, Elie Abi Aoun, Claas Falldorf, Beñat Gutierrez, Alexandra Kühn, Sven Torstrick-von der Lieth, Christoph Herden, Erik Johannsen, Jan‐Uwe R. Schmidt, Felix Winkelmann, Andreas Schott, Daniel Schott   +19 more
wiley   +1 more source

Genomic Signatures of Artificial Selection Underlying Oil Content Differentiation in Chinese and Uruguayan Soybean Germplasm. [PDF]

Plants (Basel)
Su X, Hong H, Chen Y, Zhang X, Gong M, Larzábal J, Rosas JE, Wang J, Zhang Z, Gu Y, Qiu L.   +10 more
europepmc   +1 more source

Genomic signatures of artificial selection in fecundity of Pacific white shrimp, Penaeus vannamei. [PDF]

Front Genet, 2022
Sui J, Luan S, Cao J, Dai P, Meng X, Luo K, Chen B, Tan J, Fu Q, Kong J.   +9 more
europepmc   +1 more source

Fitness and artificial selection [PDF]

Heredity, 1961
Marjorie Dinsley, J M Thoday
openaire   +1 more source