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    A Comparative Analysis of Student Performance Prediction: Evaluating Optimized Deep Learning Ensembles Against Semi-Supervised Feature Selection-Based Models by Jose Antonio Lagares Rodríguez, Norberto Díaz-Díaz, Carlos David Barranco González

    Published 2025-04-01
    “…Our results indicate that DL-based models can provide a flexible, data-driven approach for examining student outcomes, in addition to preserving the importance of feature selection for interpretability. …”
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    Article
  3. 2183

    The Rhino Impact Investment Project—a new, outcomes-based finance mechanism for selected AfRSG-rated ‘Key’ black rhino populations by Glen Jeffries, Oliver Withers, Chris Barichievy, Chris Gordon

    Published 2019-11-01
    “…A core part of RII relates to the rigorous selection process used to determine the sites to be included in the first iteration of this project, and this article focuses in detail on that process. …”
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    Article
  4. 2184

    Selection of AI model for predicting disability diseases through bipolar complex fuzzy linguistic multi-attribute decision-making technique based on operators by Ubaid ur Rehman, Meraj Ali Khan, Ibrahim Al-Dayel, Tahir Mahmood

    Published 2025-06-01
    “…The current selection methods fail to integrate the management of uncertainties with bipolarity while also handling additional fuzzy information and linguistic terms during decision-making which leads to inferior model choices. …”
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    Emotional state in patients after COVID-19 in relation to comprehensive rehabilitation, Brain-Derived neurotrophic factor, Irisin levels, and selected clinical factors by Alicja Mińko, Agnieszka Turoń-Skrzypińska, Aleksandra Rył, Iwona Rotter

    Published 2025-07-01
    “…However, interpretation of these relationships requires further studies taking into account additional biological variables and prospective analyses.…”
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    Charged Thienobenzo-1,2,3-Triazoles as Especially Potent Non-Selective Cholinesterase Inhibitors: Design, Anti-Inflammatory Activity, and Computational Study by Antonija Jelčić, Anamarija Raspudić, Danijela Barić, Ana Ratković, Ivana Šagud, Paula Pongrac, Dora Štefok, Martina Bosnar, Sunčica Roca, Zlata Lasić, Ilijana Odak, Irena Škorić

    Published 2025-07-01
    “…<b>Conclusions</b>: These findings highlight the potential of new charged triazolinium salts as peripherally selective cholinesterase inhibitors with additional anti-inflammatory potential.…”
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  13. 2193

    Enabling Selective and Tunable Weight Updates in All-InGaZnO 3-Transistor 1-Capacitor Synaptic Circuits for On-Chip Training by Minseung Kang, Mingi Kim, Jaehyeon Kang, Jongun Won, Hyeong Jun Seo, Changhoon Joe, Youngchae Roh, Yeaji Park, Sangbum Kim

    Published 2025-01-01
    “…For the first time, an innovative update scheme that enables selective updating without requiring additional transistors is demonstrated. …”
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    Leveraging genomic insights from the neglected malaria parasites P. malariae and P. ovale using selective whole genome amplification (SWGA) approach by Fathia Ben-Rached, Amit Kumar Subudhi, Chang Li, Mariah Alawi, Rohit Satyam, Sui Xu, Guoding Zhu, Raeece Naeem, Sara Mfarrej, Di Liu, Zenaida Stead, Caroline Askonas, Yaobao Liu, Jun Cao, Arnab Pain

    Published 2025-02-01
    “…One such technique is selective whole-genome amplification (SWGA). Results We applied SWGA using specifically designed primer sets targeting the pathogen genome to enrich parasite DNA from clinical samples. …”
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    Article
  16. 2196

    The Effects of Affinity Mediated Clonal Expansion of Premigrant Thymocytes on the Periphery T-Cell Repertoire by Guanyu Wang

    Published 2004-10-01
    “…The clonal expansiontherefore appears to be an additional selection event, resulting infine tuning of the repertoire. …”
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    Most Significant Impact on Consumer Engagement: An Analytical Framework for the Multimodal Content of Short Video Advertisements by Zhipeng Zhang, Liyi Zhang

    Published 2025-03-01
    “…Subsequently, we introduced a method based on mixed-regularization sparse representation to select variables. Ultimately, we utilized multiblock partial least squares regression to regress the selected variables alongside additional scalar variables to calculate the block importance. …”
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  19. 2199

    Workplace Preference Analytics Among Graduates by Sin-Yin Ong, Choo-Yee Ting, Hui-Ngo Goh, Albert Quek, Chin-Leei Cham

    Published 2023-09-01
    “…Feature selection was used to identify top-10 predictors that influence the selection of jobs in graduates' desired sectors. …”
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    Article
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