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Showing 161 - 180 results of 1,320 for search '"\"((\\"sources selection functions\\") OR ((\\"sourcess OR \"source) selection function\\"))\""', query time: 0.11s Refine Results
  1. 161

    Identification of resistance sources and genomic regions regulating Septoria tritici blotch resistance in South Asian bread wheat germplasm by Manjeet Kumar, Xinyao He, Sudhir Navathe, Umesh Kamble, Madhu Patial, Pawan Kumar Singh

    Published 2025-03-01
    “…Therefore, dissection of the genetic architecture of adult‐plant resistance with genome‐wide association mapping and selection of resistant sources for adult plant STB resistance were carried out on a panel of South Asian germplasm. …”
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  2. 162
  3. 163

    Feature selection using a multi-strategy improved parrot optimization algorithm in software defect prediction by Qi Fei, Guisheng Yin, Zhian Sun

    Published 2025-04-01
    “…Finally, to further enhance the classification performance of defect prediction, a heterogeneous data stacking ensemble learning algorithm (HEDSE) based on feature selection is proposed. Experimental evaluations on 16 open-source software defect datasets indicate that the proposed HEDSE outperforms existing methods, providing a novel and effective solution for software defect prediction. …”
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  4. 164

    Enhancing the power quality in radial electrical systems using optimal sizing and selective allocation of distributed generations. by Bachirou Bogno, Deli Goron, Nisso Nicodem, S Shanmugan, Dieudonné Kidmo Kaoga, Kitmo, Akhlaque Ahmad Khan, Yasser Fouad, Michel Aillerie

    Published 2024-01-01
    “…Accordingly, a proposed configuration system is shown in this work to inject multiple renewable energy sources (MRES) from selected regulated nodes. The feasibility of the proposed system is evaluated using particle swarm optimization (PSO), which was used to locate stable nodes and locations, sensitive to voltage fluctuations. …”
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  5. 165
  6. 166

    Location- and feature-based selection histories make independent, qualitatively distinct contributions to urgent visuomotor performance by Emily E Oor, Emilio Salinas, Terrence R Stanford

    Published 2025-06-01
    “…Although less well studied, selection history, which reflects multiple facets of experience with recent events, is increasingly recognized as a distinct source of attentional bias. …”
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    Article
  7. 167

    scikit-fda: A Python Package for Functional Data Analysis by Carlos Ramos-Carreño, José Luis Torrecilla, Miguel Carbajo-Berrocal, Pablo Marcos, Alberto Suárez

    Published 2024-05-01
    “…In particular, it conforms to the scikit-learn application programming interface so as to take advantage of the functionality for machine learning provided by this package: Pipelines, model selection, and hyperparameter tuning, among others. …”
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  8. 168

    A Three-Dimensional Complex Measurement Model-Based Avionic Radio-Frequency Power Source Health Assessment Method by Lin Huo, Shiqi Li, Simiao Fei, Chuan Lyu

    Published 2020-01-01
    “…According to the function and structure characteristics of radio-frequency power source, the health characterization parameters are then obtained and the health assessment parameter system is established. …”
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    Article
  9. 169

    Optimization of the defense forces personnel under mobilization conditions: The role of occupational selection as a personnel allocator by V. V. Kalnysh, A. V. Shvets

    Published 2024-12-01
    “…The proposed conceptual model of optimization of the occupational selection system in the defense forces reflects 4 main elements and functions of it. …”
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  10. 170
  11. 171

    Cities in transition: Krakow‘s social, economic and spatial transformation within the last thirty years (selected aspects) by Anna Karwińska, Dorota Jopek, Michał Kudłacz, Michał Wiśniewski

    Published 2024-03-01
    “…Therefore, depending on the availability of statistical data, several time periods were selected and compared with each other in the most important areas of Krakow’s functioning. …”
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    Article
  12. 172
  13. 173

    Insights into the electronic and atomic structures of cerium oxide-based ultrathin films and nanostructures using high-brilliance light sources by Paola Luches, Federico Boscherini

    Published 2025-06-01
    “…High-brilliance light sources, such as synchrotrons and free-electron lasers, allow researchers to probe the structural, electronic, and dynamic properties of functional materials at an unprecedented level of detail. …”
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  14. 174

    Accelerate Mass Transport of Proton and Carbon Sources by Super‐Hygroscopic and Porous Nanosheets for Continuous CO2‐To‐Ethylene Upgrade by Silong Dong, Guobin Wen, Xinyu Yang, Xiaowen Zhang, Shuxuan Liu, Haoyang Xiong, Yinyi Liu, Kai Zong, Hao Li, Yifan Li, Yi Cui, Bohua Ren, Xin Wang, Mingliang Jin, Zhongwei Chen

    Published 2025-07-01
    “…Inspired by Tillandsia leaves, which efficiently capture H2O and CO2 from the air, copper nanosheets with dual‐functional channels are we designed: the superhygroscopic network enables capillary condensation, converting H2O(g) into H2O(l) to form H2O channels that ensure a stable supply of protons, while the CO2 channels formed by the microporous structure enhance the diffusion of CO2, thus enriching the carbon source. …”
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  15. 175

    Influence of Lineage-Negative Stem Cell Therapy on Articulatory Functions in ALS Patients by Wioletta Pawlukowska, Bartłomiej Baumert, Monika Gołąb-Janowska, Anna Sobuś, Agnieszka Wełnicka, Agnieszka Meller, Karolina Machowska-Sempruch, Alicja Zawiślak, Karolina Łuczkowska, Sławomir Milczarek, Bogumiła Osękowska, Edyta Paczkowska, Iwona Rotter, Przemysław Nowacki, Bogusław Machaliński

    Published 2019-01-01
    “…Bone marrow-derived stem and progenitor cells (SPCs) may be a valuable source of trophic factors. In this study, we assessed whether adjuvant cellular therapy could affect the levels of selected neurotrophins and proinflammatory factors in the cerebrospinal fluid (CSF) and subsequently prevent the deterioration of articulation. …”
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  16. 176

    Encapsulation Techniques to Enhance Astaxanthin Utilization as Functional Feed Ingredient by Matteo Vitale, Joaquin Gomez-Estaca, Janete Chung, Seong-Chea Chua, Daniela Maria Pampanin

    Published 2025-03-01
    “…Overall, these findings demonstrate the potential of the selected encapsulation techniques to optimize the stability, bioavailability, and functionality of AX, providing valuable insights to improve its utilization as a functional ingredient in fish feed formulations.…”
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  17. 177

    Functionalized hydrogel-based colorimetric sensor for Cu2+ detection by Minh-Kha Nguyen, Chau-Nha-Trang Nguyen, Khanh-Binh Vo

    Published 2025-01-01
    “…., highly toxic and bioaccumulative contaminants in water sources, has become a critical environmental concern. …”
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  18. 178

    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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  19. 179

    Data- and knowledge-derived functional landscape of human solute carriers by Ulrich Goldmann, Tabea Wiedmer, Andrea Garofoli, Vitaly Sedlyarov, Manuel Bichler, Ben Haladik, Gernot Wolf, Eirini Christodoulaki, Alvaro Ingles-Prieto, Evandro Ferrada, Fabian Frommelt, Shao Thing Teoh, Philipp Leippe, Gabriel Onea, Martin Pfeifer, Mariah Kohlbrenner, Lena Chang, Paul Selzer, Jürgen Reinhardt, Daniela Digles, Gerhard F Ecker, Tanja Osthushenrich, Aidan MacNamara, Anders Malarstig, David Hepworth, Giulio Superti-Furga

    Published 2025-05-01
    “…To advance SLC research, we developed a comprehensive knowledgebase that integrates systematic multi-omics data sets with selected curated information from public sources. We annotated SLC substrates through literature curation, compiled SLC disease associations using data mining techniques, and determined the subcellular localization of SLCs by combining annotations from public databases with an immunofluorescence imaging approach. …”
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  20. 180

    Application of Open-Source, Low-Code Machine-Learning Library in Python to Diagnose Parkinson's Disease Using Voice Signal Features by Daniel Hilário da Silva, Caio Tonus Ribeiro, Leandro Rodrigues da Silva Souza, Adriano Alves Pereira

    Published 2025-03-01
    “…Seventeen ML algorithms were applied to a dataset of voice recordings from Healthy Control and PD individuals, sourced from a publicly available repository. We leveraged the PyCaret Python library's ML algorithms and functions, which were introduced in this article, to demonstrate their simplicity and effectiveness in dealing with real-world data. …”
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