Results 31 to 40 of about 309,863 (343)
Electronic Journal of Plant Breeding, 2023 Three hundred and twenty seven germplasm accessions of little millet (Samai) including four checks were evaluated in augmented RCBD design. The analysis of variance (ANOVA) revealed the presence of significant variability for all the traits under study
M. Amaravel1, A. Nirmalakumari1*, S. Geetha2, K. Sathya1 and R. Renuka3
doaj +1 more source
Progress in Fishery Sciences, 2023 Sea surface temperature (SST) and chlorophyll concentration in the North Pacific in 2019–2020 were analyzed based on the data of light net fertilization fisheries, including chlorophyll-a, sea surface height (SSH), and data regarding other environmental ...
Chao YANG +8 more
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GAM on! Six ways to explore social complexity by combining games and agent-based models
International Journal of Social Research Methodology, 2022 GAM, combining games and agent-based models, shows potential for investigating complex social phenomena. Games offer engaging environments generating insights into social dynamics, perceptions, and behaviours, while agent-based models support the ...
Timo Szczepanska +8 more
semanticscholar +1 more source
A General Framework for Mixed and Incomplete Data Clustering Based on Swarm Intelligence Algorithms
Mathematics, 2021 Swarm intelligence has appeared as an active field for solving numerous machine-learning tasks. In this paper, we address the problem of clustering data with missing values, where the patterns are described by mixed (or hybrid) features.
Yenny Villuendas-Rey +3 more
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Comparison of the Hi-C, GAM and SPRITE methods using polymer models of chromatin
Nature Methods, 2021 Hi-C, split-pool recognition of interactions by tag extension (SPRITE) and genome architecture mapping (GAM) are powerful technologies utilized to probe chromatin interactions genome wide, but how faithfully they capture three-dimensional (3D) contacts ...
Luca Fiorillo +12 more
semanticscholar +1 more source
Mathematics, 2022 One of the four basic machine learning tasks is pattern classification. The selection of the proper learning algorithm for a given problem is a challenging task, formally known as the algorithm selection problem (ASP). In particular, we are interested in
Francisco J. Camacho-Urriolagoitia +4 more
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Electronic Journal of Plant Breeding, 2023 The present experiment was undertaken to study the variability, trait association and principle component analysis among eighteen characters in 53 rice genotypes including landraces and cultivars.
G. Gayathridevi1 , P. Shanthi1 *, R. Suresh2 , S. Manonmani2 , S. Geetha3 , K. Sathyabama4 and P. Geetha5
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, 2023 Most accurate machine learning models unfortunately produce black-box predictions, for which it is impossible to grasp the internal logic that leads to a specific decision. Unfolding the logic of such black-box models is of increasing importance, especially when they are used in sensitive decision-making processes.
Lucchese C. +3 more
openaire +2 more sources
THE EVALUATION OF UNDISCOVERED ARCHEOLOGICAL GEOHERITAGE POTENTIAL – THE CASE OF RUDNA GLAVA SITE (EASTERN SERBIA) [PDF]
Geo Journal of Tourism and Geosites, 2021 As one of the oldest documented mines in Europe, Rudna Glava should be at the very top when it comes to geotourist visits in Serbia and the Balkans. The research goal is to point out the possibilities of geotourism development in this part of Serbia ...
Dobrila LUKIĆ +4 more
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Complex multi-enhancer contacts captured by Genome Architecture Mapping (GAM)
Nature, 2017 The organization of the genome in the nucleus and the interactions of genes with their regulatory elements are key features of transcriptional control and their disruption can cause disease.
R. Beagrie +16 more
semanticscholar +1 more source