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  1. 81

    Context-Aware Trust Prediction for Optimal Routing in Opportunistic IoT Systems by Abdulkadir Abdulahi Hasan, Xianwen Fang, Sohaib Latif, Adeel Iqbal

    Published 2025-06-01
    “…In such networks, routing decisions heavily depend on the selection of intermediate nodes to ensure secure and efficient data dissemination. …”
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    Article
  2. 82

    Optimization of a new catalyst composition for trimerization of ethylene by Mohammad Javad Sharifi, Alireza Fazlali, Seyed Hamed Mahdaviani, Davood soudbar

    Published 2024-12-01
    “…The effect of four variables Al/Cr molar ratio, halide/Cr molar ratio, reaction temperature and catalyst dosage have been considered on catalyst activity, 1-hexene selectivity and polymer content. The central composite design (CCD) model with three main parameters in three response levels for each factor was applied to analyze the effects of the parameters. …”
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  3. 83

    MULTI–CRITERIA OPTIMIZATION OF A PRODUCT RECIPE COMPOSITION by Marina A. Nikitina, Irina M. Chernukha

    Published 2018-09-01
    “…The use of the IT-technologies realized by the methods of multi-criteria structure optimization and mathematical programming allows correcting and optimizing food recipes by different criteria of the non-linear character, structuring the obtained set of alternatives and detecting the optimal food recipe option with the targeted quality, composition and properties or a diet for a particular population category with consideration for the therapeutic and prophylactic direction.…”
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  4. 84

    Decision Support System for Futsal Player Selection Using the Profile Matching Method by Farhan Mohammad Hafiz, Pratiwi Rachmadi, Winny Purbaratri

    Published 2025-07-01
    “…The results of calculations using profile matching indicate the order of quality players that can be selected based on the criteria data. By creating this system, it is hoped that the futsal player selection process can be improved and result in a strong and optimal team composition, which will ultimately improve team performance in various competitions and matches.…”
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  5. 85

    Comparison and application of depression screening tools for adolescents: scale selection and clinical practice by Xinyu Li, Wei Jin, Lu Han, Xingyu Chen, Lihong Li

    Published 2025-05-01
    “…Through a comprehensive analysis of each scale’s strengths, limitations and practical applications, this narrative review aims to guide healthcare practitioners and researchers in selecting optimal measurement tools for different clinical and research contexts. …”
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    Article
  6. 86

    Microstructure and mechanical performances of NiCoFeAlTi high-entropy intermetallic reinforced CoCrFeMnNi high-entropy alloy composites manufactured by selective laser melting by Hong Yang, Pan Ma, Zhiyu Zhang, Xiaochang Xie, Ping Yang, Han Zhang, Yandong Jia, Konda Gokuldoss Prashanth

    Published 2024-11-01
    “…In this study, CoCrFeMnNi HEA/NiCoFeAlTi HER high-entropy alloy composites were prepared using SLM technology. Interestingly, gas-atomized NiCoFeAlTi high-entropy intermetallic (HER) powder was selected as the reinforcing phase, and the CoCrFeMnNi HEA matrix was used for comparison. …”
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    Article
  7. 87

    Innovative Model for Material Selection Within the Automotive Lightweight Eco-Design Field by Edoardo Risaliti, Arcidiacono Gabriele, Francesco Del Pero, Paolo Citti

    Published 2025-02-01
    “…In particular, the outcomes of the case study analysis show that significant improvements are offered by the lightweight alternative both in terms of component weight, cost efficiency and carbon footprint, identifying low-alloy steels and aluminum composites as optimal materials for this specific application.…”
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    Article
  8. 88

    Feature selection in single-cell RNA sequencing data: a comprehensive evaluation by Petros Paplomatas, Konstantinos Lazaros, Georgios N. Dimitrakopoulos, Aristidis Vrahatis

    Published 2024-09-01
    “…By integrating feature selection methods from both statistics and machine learning, we provide a robust framework for improving data interpretation. …”
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    Article
  9. 89

    Melamine Recognition: Molecularly Imprinted Polymer for Selective and Sensitive Determination of Melamine in Food Samples by Mohadese Biabani, Azizollah Nezhadali, Ahmad Nakhaei, Hossein Nakhaei

    Published 2020-01-01
    “…The constructed sensor was modified with GO-Fe3O4@SiO2 nanocomposite. Screening and optimization of factors are done using statistical methods, including Plackett–Burman design (PBD) and central composite design (CCD). …”
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    Article
  10. 90

    Optimal design of laminated composite and nanocomposite structures using evolutionary optimization techniques: a survey by Ranganai T. Moyo, Pavel Y. Tabakov

    Published 2024-09-01
    “…Thus, this survey delves into evolutionary optimization techniques as powerful tools for achieving optimal configurations in LCNC structures, highlighting the importance of selecting the appropriate technique for a given optimization problem. …”
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  11. 91
  12. 92

    Optimization of composition and technology for tablets containing aspen bark extract by O. I. Onуshkiv

    Published 2015-04-01
    “…Rational selection of excipients requires wide range of studies to obtain the optimal composition of the tablets containing aspen bark extract. …”
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  13. 93
  14. 94

    Targeted Acidogenic Fermentation of Waste Streams for the Selective Production of Volatile Fatty Acids as Bioplastic Precursors by Dolores Hidalgo, Lidia Garrote, Francisco Infante, Jesús M. Martín-Marroquín, Enrique Pérez-Zapatero, Francisco Corona

    Published 2025-05-01
    “…The analysis emphasizes how the chemical composition and biodegradability of waste streams influence the selection of microbial consortia and metabolic pathways, determining the yield and composition of the products generated. …”
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  15. 95
  16. 96

    Utility of an in-line somatic cell count sensor for selecting cows for dry-cow therapy by Scott McDougall, Amanda Kilby, Jo Holter, Rob Orchard

    Published 2024-12-01
    “…The microbiology data from approximately half the cows (n = 770; training dataset) were randomly selected after blocking for IMI status within herd, and these data were used to determine the optimal predictor for indicating IMI from the in-line SCC data. …”
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  17. 97

    Application of multi-criteria decision making (MCDM) model for solar plant location selection by Sahand Hosouli, Rania Asma Hassani

    Published 2024-12-01
    “…The permanent matrix, a composite metric synthesizing six criteria, identifies Torquay as the optimal location with a permanent value of 18.16. …”
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    Article
  18. 98

    Prevalence and predictors of sub-optimal laboratory monitoring of selected higher risk medicines in Irish general practice: a 5-year retrospective cohort study of community-dwellin... by Fiona Boland, Emma Wallace, Frank Moriarty, Tom Fahey, Caroline McCarthy, Ann Sinéad Doherty, Mark Feighery

    Published 2025-01-01
    “…Objectives To describe the prevalence of sub-optimal monitoring for selected higher-risk medicines in older community-dwelling adults and to evaluate patient characteristics and outcomes associated with sub-optimal monitoring.Study design Retrospective observational study (2011–2015) using historical general practice-based cohort data and linked dispensing data from a national pharmacy claims database.Setting Irish primary care.Participants 625 community-dwelling adults aged ≥70 years and prescribed at least one higher-risk medicine during the 5-year study period.Primary and secondary outcome measures The primary outcome was the prevalence of sub-optimal laboratory monitoring using a composite measure of published medication monitoring indicators, with a focus on commonly prescribed higher-risk medicines such as diuretics and anticoagulants. …”
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  19. 99

    A Heuristic Algorithm for Optimal Service Composition in Complex Manufacturing Networks by Yinan Wu, Gongzhuang Peng, Hongwei Wang, Heming Zhang

    Published 2019-01-01
    “…On this basis, the service composition problem can be modeled as a multiple-constrained optimal path (MCOP) selection problem by taking into account different types of composition, namely, sequence, parallel, selection, and cycle. …”
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  20. 100

    Energy Assessment of Hazelnut Shells (<i>Corylus avellana</i> L.) of Selected Turkish Varieties by Kamila E. Klimek, Saban Kordali, Anna Borkowska, Ferah Yilmaz, Grzegorz Maj

    Published 2025-07-01
    “…This study underscores the importance of selecting the right variety to optimize agricultural waste utilization strategies within a circular economy.…”
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