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Showing 461 - 480 results of 2,814 for search '(( resources selection functions ) OR (( source OR sources) selection functions ))', query time: 0.27s Refine Results
  1. 461

    CERTAINTY/UNCERTAINTY AS GRAMMATICAL AND AS A HIDDEN FUNCTIONAL-SEMANTIC CATEGORY by Hanna M. Udovichenko

    Published 2019-06-01
    “…For the pair of languages being studied, Ukrainian (source language, non-article) and English (target language, article) were selected. …”
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    Article
  2. 462

    The Training of Rhythm Skills and Executive Function: A Systematic Review by J. Riikka Ahokas, Suvi Saarikallio, Graham Welch, Usha Goswami, Tiina Parviainen

    Published 2025-01-01
    “…The selected studies were evaluated for methodological quality using the modified Downs and Black checklist. …”
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  3. 463

    Promoting Rural Revitalization via Natural Resource Value Realization in National Parks: A Case Study of Baishanzu National Park by Hongyu Luo, Guangning Sun, Weilong Zhou, Jihe Lian, Yanfei Sun, Yingen Hu

    Published 2025-01-01
    “…The results indicate the following: (1) By constructing a framework of “realistic background—pathway selection—model condensation—effectiveness analysis”, the mechanism of how natural resource value realization promotes rural revitalization can be analyzed, with a focus on its pathways and models. (2) The pathways for realizing natural resource value to promote rural revitalization include resource integration, investment development, capital production and operation, and the circulation and exchange of ecological products and services. …”
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  4. 464

    Venturing Into the Unknown: The Importance of Variable Selection When Modelling Alien Species Under Non‐Analogue Climatic Conditions by Tom Vorstenbosch, Franz Essl, Bernd Lenzner, Johannes Wessely, Stefan Dullinger

    Published 2024-10-01
    “…Here, we tested the assumption that this aspect of model design is a major source of uncertainty, especially when projections are made to non‐analogue climates. …”
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  5. 465
  6. 466

    Genome-Wide Association Analysis and Genomic Selection for Growth Traits in Grass Carp (<i>Ctenopharyngodon idella</i>) by Yuxuan Chen, Qiaozhen Yu, Wenyao Lv, Tao Sheng, Lang Gui, Junqiang Qiu, Xiaoyan Xu, Jiale Li

    Published 2025-06-01
    “…This study provides the first comprehensive SNP resource for grass carp growth traits with different dietary treatments, bridging GWAS and genomic prediction to accelerate marker-assisted selection. …”
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  7. 467
  8. 468

    Neurocognitive factors of new drone Pilots: Identifying candidates with expert potential by Miguel A. Ramallo-Luna, Sara Gonzalez-Torre, Álvaro Rodríguez-Mora, Gabriel G. de la Torre

    Published 2025-08-01
    “…Introduction: The increasing use of drones in both military and civilian applications underscores the critical need for the proper selection and training of pilots. Identifying the neurocognitive variables that influence the performance of these pilots can optimize selection and training processes. …”
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  9. 469
  10. 470

    Potential and Observed Supply–Demand Characteristics of Medical Services: A Case Study of Nighttime Visits in Shenzhen by Xiaojie Wu, Zhengdong Huang, Xi Yu

    Published 2024-10-01
    “…Hospital selection patterns are essential for evaluating medical accessibility and optimizing resource management. …”
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  11. 471

    Raw-Data Driven Functional Data Analysis with Multi-Adaptive Functional Neural Networks for Ergonomic Risk Classification Using Facial and Bio-Signal Time-Series Data by Suyeon Kim, Afrooz Shakeri, Seyed Shayan Darabi, Eunsik Kim, Kyongwon Kim

    Published 2025-07-01
    “…Classifying such data presents inherent challenges due to multi-source information, temporal dynamics, and class imbalance. …”
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  12. 472

    AI Chatbots and Cognitive Control: Enhancing Executive Functions Through Chatbot Interactions: A Systematic Review by Pantelis Pergantis, Victoria Bamicha, Charalampos Skianis, Athanasios Drigas

    Published 2025-01-01
    “…The criteria aligned with the study objectives, ensuring a focus on AI chatbots and the impact of conversational agents on executive function. The initial collection totaled <i>n</i> = 115 articles; however, the eligibility requirements led to the final selection of <i>n</i> = 10 studies. …”
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  13. 473
  14. 474

    Phage display of cDNA libraries: enrichment of cDNA expression using open reading frame selection by Peggy Ho Faix, Michael A. Burg, Michelle Gonzales, Edward P. Ravey, Andrew Baird, David Larocca

    Published 2004-06-01
    “…The high level of cDNA expression obtained by ORF selection suggests that ORF-enriched phage cDNA libraries prepared by these methods will be useful as functional genomics tools for identifying natural ligands from various source tissues.…”
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  15. 475
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  17. 477

    A genome-wide metabolic QTL analysis in Europeans implicates two loci shaped by recent positive selection. by George Nicholson, Mattias Rantalainen, Jia V Li, Anthony D Maher, Daniel Malmodin, Kourosh R Ahmadi, Johan H Faber, Amy Barrett, Josine L Min, N William Rayner, Henrik Toft, Maria Krestyaninova, Juris Viksna, Sudeshna Guha Neogi, Marc-Emmanuel Dumas, Ugis Sarkans, MolPAGE Consortium, Peter Donnelly, Thomas Illig, Jerzy Adamski, Karsten Suhre, Maxine Allen, Krina T Zondervan, Tim D Spector, Jeremy K Nicholson, John C Lindon, Dorrit Baunsgaard, Elaine Holmes, Mark I McCarthy, Chris C Holmes

    Published 2011-09-01
    “…Two of the three hit regions lie within haplotype blocks (at 2p13.1 and 10q24.2) that carry the genetic signature of strong, recent, positive selection in European populations. Genes NAT8 and PYROXD2, both with relatively uncharacterized functional roles, are good candidates for mediating the corresponding mQTL associations. …”
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  18. 478
  19. 479

    Metal and metal oxide nanomaterials for heavy metal remediation: novel approaches for selective, regenerative, and scalable water treatment by David B. Olawade, David B. Olawade, David B. Olawade, Ojima Z. Wada, Bamise I. Egbewole, Oluwaseun Fapohunda, Abimbola O. Ige, Sunday Oluwadamilola Usman, Olawale Ajisafe

    Published 2024-10-01
    “…The review identifies several promising nanomaterials, such as graphene oxide, carbon nanotubes, and metal-organic frameworks, which exhibit high surface areas, tunable surface chemistries, and excellent adsorption capacities. Surface functionalization with specific functional groups (e.g., carboxyl, amino, thiol) significantly enhances the selectivity for target heavy metal ions. …”
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  20. 480