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  1. 781
  2. 782

    Polythiophene modified chitosan/magnetite nanocomposites for heavy metals and selective mercury removal by Rania E. Morsi, Ahmed M. Al-Sabagh, Yasser M. Moustafa, Said G. ElKholy, Mostafa S. Sayed

    Published 2018-12-01
    “…Multi-functional nanocomposites were prepared based on magnetite nanoparticles, chitosan nanoparticles and polythiophene for efficient and selective mercury (II) removal from its aqueous solution. …”
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    Article
  3. 783

    Appeal against court judgement (decision) in Polish civil procedure: Selected problems by Ja. Turłukowski

    Published 2019-08-01
    “…It has been revealed that the current system of verifying the legality of judicial acts of both the first and second instances has some gaps that need to be filled to stabilize the work of the justice system. In addition to the discussion of the selected problems related to reviewing the court decisions, the judicial system of Poland and the mechanism of its functioning have been overviewed. …”
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    Article
  4. 784

    Guided Particle Swarm Optimization for Feature Selection: Application to Cancer Genome Data by Simone A. Ludwig

    Published 2025-04-01
    “…Feature selection is a crucial step in the data preprocessing stage of machine learning. …”
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    Article
  5. 785

    Multi-Criteria Decision-Making Techniques for Optimal In-House Storage Location Selection by Petr Průša, Nikoleta Mikušová, Helena Becková

    Published 2024-09-01
    “…The research was realized through a Czech Republic brewing company case study which aimed to find and select the best in-house storage location. The decision-making methods chosen for this solution were the additive ratio assessment method and the combined compromised solution method. …”
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    Article
  6. 786

    Residual Stress Distribution in Selective Laser Melting of SS316L Parts by Harinadh Vemanaboina, Paolo Ferro, B. Sridhar Babu, Edison Gundabattini, Kaushik Kumar, Filippo Berto

    Published 2022-01-01
    “…Additive manufacturing is one of the fastest-growing fields in materials engineering. …”
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    Article
  7. 787

    Bandwidth Selection in Geographically Weighted Regression Models via Information Complexity Criteria by Tuba Koç

    Published 2022-01-01
    “…In addition, when the bandwidth is selected according to the ICOMP-type criteria and the GWR model is created for the actual total fertility rate data, it is seen that the spatial distribution of the total fertility rate estimates is quite compatible with the distribution of the actual total fertility rate. …”
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  8. 788

    The Use of Selected Machine Learning Methods in Dairy Cattle Farming: A Review by Wilhelm Grzesiak, Daniel Zaborski, Marcin Pluciński, Magdalena Jędrzejczak-Silicka, Renata Pilarczyk, Piotr Sablik

    Published 2025-07-01
    “…The aim of this review was to present selected machine learning (ML) algorithms used in dairy cattle farming in recent years (2020–2024). …”
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    Article
  9. 789

    Positive Selection Vectors to Generate Fused Genes for the Expression of His-Tagged Proteins by T. Van Reeth, P.-L. Drèze, J. Szpirer, C. Szpirer, P. Gabant

    Published 1998-11-01
    “…In this communication, we describe new vectors that allow PCR cloning and selection of chimeric genes coding for N- or C-terminal His-tagged proteins. …”
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  10. 790

    Factors Affecting the Selection of Sustainable Construction Materials: A Study in New Zealand by Tin Bui, Niluka Domingo, An Le

    Published 2025-03-01
    “…The finding was that technical factors are vital in achieving sustainable construction. Additionally, the social, economic, environmental, and technical factors were strongly correlated, affecting the selection of SCMs. …”
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  11. 791
  12. 792

    Selective manipulation of L-cysteine crystal polymorphs using focused laser beams by Hozumi Takahashi, Hiroshi Y. Yoshikawa, Teruki Sugiyama

    Published 2025-05-01
    “…Abstract The selective manipulation of crystal polymorphs holds profound implications across diverse scientific and industrial fields, as distinct polymorphs exhibit unique physical and chemical properties. …”
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    Article
  13. 793

    CORRELATIONS, PATH COFFICIEN ANALYSIS AND EVALUATON SELECTION INDICES FOR GENOTYPES OF DURUM WHEAT by M. Al-Tawel

    Published 2019-08-01
    “…Twenty tow genotypes of durum wheat in addition to local grown variety(Om Rabee -5) of durum wheat were used in this study. …”
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    Article
  14. 794

    Dynamic feature selection for silicon content prediction in blast furnace using BOSVRRFE by Junyi Duan

    Published 2025-07-01
    “…This study provides theoretical and practical guidance for silicon content prediction and introduces an innovative approach to feature selection in complex dynamic industrial data.…”
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    Article
  15. 795

    Neural Network Ensemble Method for Deepfake Classification Using Golden Frame Selection by Khrystyna Lipianina-Honcharenko, Nazar Melnyk, Andriy Ivasechko, Mykola Telka, Oleg Illiashenko

    Published 2025-04-01
    “…This study uses the golden frame selection technique to present a neural network ensemble method for deepfake classification. …”
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    Article
  16. 796

    Classification of Neuropsychiatric Disorders via Brain-Region-Selected Graph Convolutional Network by Zhenzhe Qin, Yongbo Li, Xiaoying Song, Li Chai

    Published 2025-01-01
    “…For the classification of patients with neuropsychiatric disorders based on rs-fMRI data, this paper proposed a Brain-Region-Selected graph convolutional network (BRS-GCN). In order to effectively identify the most significant biomarkers associated with disease, we designed a novel ROI pooling score function. …”
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  17. 797
  18. 798

    Evaluation of ICT Migration Plans in a Select Number of Companies in South Africa by Femi Abiodun Elegbeleye, Ife Fortunate Elegbeleye, Olusegun Oguntona

    Published 2025-03-01
    “…This study evaluates the ICT migration plans of selected companies in South Africa, examining their strategies, challenges, and overall effectiveness. …”
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    Article
  19. 799

    Entropy difference-based EEG channel selection technique for automated detection of ADHD. by Shishir Maheshwari, Kandala N V P S Rajesh, Vivek Kanhangad, U Rajendra Acharya, T Sunil Kumar

    Published 2025-01-01
    “…Our proposed approach yielded the highest accuracy of 99.29% using the public database. In addition, the proposed EnD-based channel selection has consistently provided better classification accuracies than the entropy-based channel selection approach. …”
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