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  1. 601

    Genomic Selection for Economically Important Traits in Dual-Purpose Simmental Cattle by Xiaoxue Zhang, Dan Wang, Menghua Zhang, Lei Xu, Xixia Huang, Yachun Wang

    Published 2025-07-01
    “…Genomic selection (GS) is a new landmark method in modern animal breeding programs, and it has become a tool for routine genetic evaluation regarding dual-purpose cattle breeding. …”
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    Article
  2. 602

    EVALUATION, SELECTION AND PREPARATION OF LIVING DONOR FOR PARTIAL LIVER TRANSPLANTATION IN CHILDREN by S. V. Gautier, A. R. Monakhov

    Published 2015-04-01
    “…In addition, the modern views on volumetry of the potential donor liver and on choice of graft type for transplantation, including for children with low weight are presented.…”
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    Article
  3. 603

    Taxonomic Analysis of Spatial Diversification of Housing in Selected Countries of the European Union by Marcelina Zapotoczna

    Published 2015-01-01
    “… This article proposes to employ taxonomic methods to assess the residential situation in selected countries of the European Union. A synthetic measure was used whose construction was based on diagnostic variables which characterise the housing and socioeconomic conditions in the countries included in the study. …”
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    Article
  4. 604

    ECONOMIC PRINCIPLES FOR SELECTION OF OPTIMUM POWER-SUPPLY SYSTEM DEVELOPMENT IN BELARUS by L. P. Padalko, S. G. Morozov

    Published 2008-08-01
    “…The modernization presupposes construction of topping plants in addition to the existing steam- and turbine equipment at thermal power stations.…”
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    Article
  5. 605

    Which Quotations to Use? Guidance on Selecting and Reporting Quotations in Qualitative Research by Sarah Yeo, Seungheon Han

    Published 2025-06-01
    “…Additionally, based on a systematic review of health qualitative research papers on a narrowly defined research topic ( n = 13), we examined current practices in selecting and reporting quotations in health qualitative research to derive practical insights for qualitative health researchers.…”
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    Article
  6. 606

    Florfenicol administration in piglets co-selects for multiple antimicrobial resistance genes by Devin B. Holman, Katherine E. Gzyl, Arun Kommadath

    Published 2024-12-01
    “…In addition, florfenicol selected for certain genes that provide resistance to multiple antimicrobial classes, including the oxazolidinones. …”
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    Article
  7. 607
  8. 608

    Low-Complexity Relay Selection for Full-Duplex Random Relay Networks by Jonghyun Bang, Taehyoung Kim

    Published 2025-03-01
    “…To account for the practical randomness in the number and locations of relays, this paper investigates full-duplex random relay networks (FDRRNs) where all nodes are randomly distributed following a Poisson point process (PPP) model. In addition, we propose a low-complexity relay selection algorithm that constructs the candidate relay set while considering the selection diversity gain. …”
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    Article
  9. 609
  10. 610

    Position Selection and Collision-Free Path Planning for Fruit Picking Robots by Yonghee Cho, Dongwoon Choi, Kwangeun Ko, Jong Hyeon Park

    Published 2025-04-01
    “…Additionally, a method for collision-free path planning in joint space using the model predictive artificial potential field (MPAPF) algorithm is proposed. …”
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    Article
  11. 611

    Lay beliefs about AI assessment of interpersonal skills in personnel selection by Ilyung Cheong, Young Eun Huh, Stefano Puntoni

    Published 2025-07-01
    “…These lay beliefs bias managers’ perceptions of employees: managers were less likely to assign tasks requiring interpersonal skills to AI-selected (vs. human-selected) employees. Additionally, applicants reported reducing their emphasis on interpersonal (vs. analytical) skills during AI (vs. human) selection processes. …”
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    Article
  12. 612

    Research on filter-based adversarial feature selection against evasion attacks by Qimeng HUANG, Miaomiao WU, Yun LI

    Published 2023-07-01
    “…With the rapid development and widespread application of machine learning technology, its security has attracted increasing attention, leading to a growing interest in adversarial machine learning.In adversarial scenarios, machine learning techniques are threatened by attacks that manipulate a small number of samples to induce misclassification, resulting in serious consequences in various domains such as spam detection, traffic signal recognition, and network intrusion detection.An evaluation criterion for filter-based adversarial feature selection was proposed, based on the minimum redundancy and maximum relevance (mRMR) method, while considering security metrics against evasion attacks.Additionally, a robust adversarial feature selection algorithm was introduced, named SDPOSS, which was based on the decomposition-based Pareto optimization for subset selection (DPOSS) algorithm.SDPOSS didn’t depend on subsequent models and effectively handles large-scale high-dimensional feature spaces.Experimental results demonstrate that as the number of decompositions increases, the runtime of SDPOSS decreases linearly, while achieving excellent classification performance.Moreover, SDPOSS exhibits strong robustness against evasion attacks, providing new insights for adversarial machine learning.…”
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  13. 613

    Structural basis for catalysis and selectivity of phospholipid synthesis by eukaryotic choline-phosphotransferase by Jacquelyn R. Roberts, Yasuhiro Horibata, Frank E. Kwarcinski, Vinson Lam, Ashleigh M. Raczkowski, Akane Hubbard, Betsy White, Hiroyuki Sugimoto, Gregory G. Tall, Melanie D. Ohi, Shoji Maeda

    Published 2025-01-01
    “…Structural and functional analysis of these binding-sites reveal the critical residues for the DAG acyl-chain preference and the choline/ethanolamine selectivity. Additionally, we present the structure in complex with a potent inhibitor characterized in this study. …”
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  14. 614

    Multi-Strategy Enhanced Parrot Optimizer: Global Optimization and Feature Selection by Tian Chen, Yuanyuan Yi

    Published 2024-10-01
    “…These findings suggest that the ECPO holds promise as an effective approach for both global optimization and feature selection.…”
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    Article
  15. 615

    Selection of Unmanned Aerial Vehicles by Using Multicriteria Decision-Making for Defence by Mustafa Hamurcu, Tamer Eren

    Published 2020-01-01
    “…These vehicles have been winning more features together with developing technology in todays world. In addition, they have been varying with different features. …”
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  16. 616
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  18. 618

    Selection and Bacteriostatic Properties of Cryotolerant Lactic Acid Bacteria with Bioprotective Potential by DU Wenjing, WANG Qiang, CHEN Qian, LIU Qian, KONG Baohua

    Published 2025-05-01
    “…This study aimed to select cryotolerant lactic acid bacteria with bioprotective potential and to investigate their low-temperature adaptability and bacteriostatic properties. …”
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  19. 619

    Fuzzy hybrid MCDM approach for selection of wind turbine service technicians by Goutam Kumar Bose, Nikhil Chandra Chatterjee

    Published 2016-01-01
    “…The methodology is based on the application of Fuzzy ARAS (Additive Ratio Assessment) and Fuzzy MOORA (Multi-Objective Optimization on basis of Ratio Analysis) which are integrated through group decision making (GDM) method in the model for selection of wind turbine service technicians’ ranking. …”
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  20. 620

    From Community Detection to Mentor Selection in Rating-Free Collaborative Filtering by Armelle Brun, Sylvain Castagnos, Anne Boyer

    Published 2011-01-01
    “…Experiments conducted show that the precision achieved is higher then the baseline that does not perform any mentor selection. In addition, our model almost offsets the absence of ratings by exploiting a reduced set of mentors.…”
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