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Showing 401 - 420 results of 1,320 for search '"\"((\\"source selection functions\\") OR ((\\"resource OR \"resourcess) selection function\\"))\""', query time: 0.23s Refine Results
  1. 401

    Evaluating Factors Affecting Interior Architectural Space Quality to Enhance Spatial Resilience and Human Productivity: An Application of Maslow’s Hierarchy of Needs by Moharam Ghahremani Drvish, Farhang Mozafar, Ceyed bagher Hoseini, Fateme Mahdizadeye seraj

    Published 2025-06-01
    “…It can be said that human perception is at the center of any environmental behavior because it is the source of all environmental information. Resilience is the ability to bounce back, endure hardship, cope well, hang on to a lifeline, survive well, recover well, show strength, endure hardship (without breaking), be resourceful, and keep moving forward despite setbacks. …”
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  2. 402

    Operational Analysis of Power Generation from a Photovoltaic–Wind Mix and Low-Emission Hydrogen Production by Arkadiusz Małek, Andrzej Marciniak

    Published 2025-05-01
    “…For hydrogen production defined in this way, it is possible to select the appropriate renewable energy sources. The research part of the article presents a case study of the continuous production of large amounts of hydrogen. …”
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    Article
  3. 403

    Expression and structural analysis of taste receptor genes in Iberian and Duroc pigs by Cristina Óvilo, Rita Benítez, Yolanda Núñez, Ramón Peiró-Pastor, Fabian García, Eduardo De Mercado, Emilio Gómez-Izquierdo, Juan García-Casco, Clemente López-Bote, María Muñoz

    Published 2025-05-01
    “…The objectives of this work were to deepen the understanding of the regulation of the function of taste receptor genes in the circumvallate papillae of obese Iberian pigs in comparison to Duroc pigs, and to characterize their genetic variation and associations with relevant production traits. …”
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    Estimation of Above-Ground Biomass for <italic>Dendrocalamus Giganteus</italic> Utilizing Spaceborne LiDAR GEDI Data by Huanfen Yang, Zhen Qin, Qingtai Shu, Li Xu, Jinge Yu, Shaolong Luo, Zaikun Wu, Cuifen Xia, Zhengdao Yang

    Published 2025-01-01
    “…The outcomes reveal that 1) the results showed that the power function emerged as the most efficacious model, with coefficient of determination (<italic>R</italic><sup>2</sup>) &#x003D; 0.87 and root mean square error (RMSE) &#x003D; 0.00051 Mg, in estimating the AGB of <italic>Dendrocalamus giganteus</italic>. 2) Based on the feature importance ranking of Random Forest, five variables were selected from the 40 extracted from GEDI, achieving RMSE &#x003D; 8.21 Mg&#x002F;ha and mean absolute error (MAE) &#x003D; 6.12 Mg&#x002F;ha. …”
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    TOPSIS method-based decision-making model for bipolar quadripartitioned neutrosophic environment by G. Muhiuddin, Mohamed E. Elnair, Satham Hussain S, Durga Nagarajan

    Published 2025-06-01
    “…In the domain of renewable energy, selecting the most suitable energy source involves navigating complex decision-making processes influenced by multiple criteria and inherent uncertainties. …”
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    Article
  18. 418

    Thermal Characteristics Testing and Analysis of Dry Gear Hobbing Machine on Multivariate Information Fusion by Peng Shengdi, Yang Xiao, Li Benjie, He Lang, Zhang Zhili

    Published 2024-01-01
    “…Through the selection of hardware for the lower computer, the development of software functions for the upper computer, and the integration of test functions, the multi-source fusion test method for the thermal characteristics of dry-cutting and hobbing machine was constructed. …”
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  19. 419

    Thermal characteristics testing and analysis of dry gear hobbing machines on multivariate information fusion by PENG Shengdi, YANG Xiao, LI Benjie, HE Lang, ZHANG Zhili

    Published 2025-07-01
    “…Through the selection of hardware for the lower computer, the development of software functions for the upper computer, and the integration of test functions, the multi-source information fusion test method for the thermal characteristics of dry gear hobbing machine was constructed. …”
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  20. 420

    T cell-related diagnostic model and the underlying mechanism related to PRF1-mediated glycolysis in sepsis: evidences from single-cell, bulk transcriptomics, and experiment validat... by Fu Tian, Hui Chen, Zhicheng Huang, Kai Qiu

    Published 2025-08-01
    “…Methods Through downloading the single-cell RNA-sequencing (scRNA-seq) and RNA-seq data from online source, a series of bioinformatics methods including principal component analysis (PCA), differential expression analysis, and least absolute shrinkage and selection operator (LASSO) was used for selection of the T cell-related signatures. …”
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