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  1. 141

    Liquid chromatography-high resolution mass spectrometry based analysis of persistent mobile organic compounds in aqueous samples: Method development and optimization by Kyriaki Anagnostopoulou, Vasileios Alampanos, Eleni Evgenidou, Dimitra A. Lambropoulou

    Published 2025-03-01
    “…A central composite design and desirability function (DF) approach were used to optimize the HRMS analysis, while the most suitable SPE cartridge, column, and mobile phase composition were carefully selected through experimental trials. …”
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  2. 142

    Low-velocity impact damage characteristics and structural optimization of metal and CFRP through-thickness reinforcement connection structures by ZHAO Kunpeng, ZHENG Huilong, KANG Zhenya, ZHANG Saile, DONG Haibin

    Published 2024-12-01
    “…To improve the impact resistance of metal and composite material joint structures, a metal synapse structure was manufactured using metal laser selective melting technology. …”
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  3. 143
  4. 144

    Optimization of Stir-Squeeze Casting Parameters to Analyze the Mechanical Properties of Al7475/B4C/Al2O3/TiB2 Hybrid Composites by the Taguchi Method by Bhiksha Gugulothu, P. Anusha, M. Naga Swapna Sri, S. Vijayakumar, R. Periyasamy, Suresh Seetharaman

    Published 2022-01-01
    “…As per Taguchi design L16, four parameters with four levels were selected in the optimization process of SSC are stir speed (SD) of 300-450 rpm, melting temperature (ME) of 750–900°C, squeeze pressure (SE) of 50-125 MPa, and reinforcement (RT) of 2-8 wt%. …”
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  5. 145

    Filled bituminous compositions in the construction industry by O. N. Kindeev, M. A. Vysotskaya, A. V. Kurlykina

    Published 2023-05-01
    “…Thus, using complex fillings of the bitumen matrix when designing bitumen compositions with the possibility of regulating and normalizing their properties (optimization indicators), it is possible to obtain economic and operational effects.…”
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  6. 146
  7. 147

    Identification and optimization of relevant factors for chronic kidney disease in abdominal obesity patients by machine learning methods: insights from NHANES 2005–2018 by Xiangling Deng, Lifei Ma, Pin Li, Mengyang He, Ruyue Jin, Yuandong Tao, Hualin Cao, Hengyu Gao, Wenquan Zhou, Kuan Lu, Xiaoye Chen, Wenchao Li, Huixia Zhou

    Published 2024-11-01
    “…Furthermore, an optimal predictive model was developed for CKD using ten machine learning algorithms and enhanced model interpretability with the Shapley Additive Explanations (SHAP) method. …”
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  8. 148

    SELECTING THE OPTIMUM SCHEME OF THE SEPARATION OF HYDROCARBON GASES BY DISTILLATION by M. K. Zakharov, A. A. Boychuk

    Published 2018-06-01
    “…The heat costs in distillation columns were determined for the purpose of separating a four-component gas mixture in gas fractionators with various component selection sequences. A method for selecting the optimal scheme was developed. …”
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  9. 149
  10. 150

    Modelling habitat requirements of Alburnus atropatena in the Jajroud protected River by Saleh Mahmoudi, Asghar Abdoli

    Published 2023-06-01
    “…The purpose of this study is to identify the optimal range of habitat variables for Alburnus atropatenae in the Jajroud protected river and compare different composite approaches in the modeling of this species.Material and methods: In this study, the habitat of A. atropatenae sampled in the form of 71 points in the Jajroud river. …”
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  11. 151

    Effect of Microwave Radiation on the Chemical Composition of Chickpeas by Valentina N. Khramova, Dmitry I. Surkov, Kirill A. Lubchinsky

    Published 2023-03-01
    “…The research objective was to select the optimal parameters of microwave treatment to obtain chickpea samples with no bean flavor and to study their chemical composition. …”
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  12. 152
  13. 153

    Exopolysaccharide of obligate methylotrophic bacterium <i>Methylophilus</i> <i>quaylei</i>: preparation, purification and study on carbohydrate and fractional composition by S. A.M Otman, A. B. Pshenichnikova, V. I. Shvets

    Published 2011-12-01
    “…The optimal composition of Methylophilus quaylei culture medium for the exopolysaccharide production increasing were selected (the ratio C/N, the concentration of phosphate and calcium chloride). …”
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  14. 154

    RATIONALE FOR THE SELECTION OF AUXILIARY COMPONENTS FOR THE NALTREXONE HYDROCHLORIDE NASAL SPRAY by Y. M. Domnina, S. A. Kedik, V. V. Suslov, E. A. Shnyak

    Published 2019-01-01
    “…The rate of dialysis and the degree of release was investigated of naltrexone. Selected the optimal composition to create a comfortable to use drug «Naltrexone hydrochloride, nasal spray», 25 mg/ml.…”
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  15. 155

    Selective Microwave Pretreatment of Biomass Mixtures for Sustainable Energy Production by Raimonds Valdmanis, Maija Zake

    Published 2025-07-01
    “…Methods for the improvement of regional lignocellulosic resources (wood and agriculture waste) were studied and analyzed using blends with optimized compositions and a selective pretreatment of the blends using microwaves to enhance their thermochemical conversion and energy production efficiency. …”
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  16. 156

    Investigation and selection of initial materials as possible sources for obtaining sorbents by I. A. Таgaev, S. U. Tursunova, L. S. Andriyko

    Published 2018-11-01
    “… The information about selection of initial materials based on bentonite, brown coal and technical soot for obtaining new sorbents is presented in this article. …”
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  17. 157

    Utilization of Polymer Composite for Development of Sustainable Construction Material by Ashmita Rupal, Sivansankara Rao Meda, Abhishek Gupta, Ishan Tank, Ashish Kapoor, Sanjay Kumar Sharma, T. Sathish, P. Murugan

    Published 2022-01-01
    “…This insight gives the framework for the selection of different materials, optimization of combining ratio of materials, and their testing for the development of polymer-based materials.…”
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  18. 158
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  20. 160

    Scene categorization by Hessian-regularized active perceptual feature selection by Junwu Zhou, Fuji Ren

    Published 2025-01-01
    “…Afterward, a novel Hessian-regularized Feature Selector (HFS) is proposed to select high-quality features from the deep GSP features, wherein (i) the spatial composition of scenic patches can be optimally maintained, and (ii) a linear SVM is learned simultaneously. …”
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