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  1. 1181
  2. 1182

    Preparation of Noodles with High Mung Bean Content and Selection of Suitable Mung Bean Cultivars for Processing by LI Ruo-ning, LIU Xing-hao, LI Chun-hong, HOU Dian-zhi, ZHOU Su-mei

    Published 2024-11-01
    “…Mung bean noodles are traditional multigrain noodles in China, but generally, the addition of green beans is relatively low. Six mung bean cultivars from major production areas were selected to prepare noodles with a high mung bean content of 70%. …”
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  3. 1183

    Reductive roasting of iron-rich manganese oxide ore with elemental sulfur for selective manganese extraction by You Z., Li G., Peng Z., Qin L., Zhang Y., Jiang T.

    Published 2017-01-01
    “…Lower sulfur addition (S/Mn molar ratio<1.0) results in higher selectivity, which is independent of roasting temperature. …”
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  4. 1184

    Consequences of ignoring dominance genetic effects from genomic selection model for discrete threshold traits by Farhad Ghafouri-Kesbi

    Published 2025-08-01
    “…While all QTLs were assigned additive genetic effects, in different scenarios, dominance effects were given to 0.00, 10, 25, 50, and 100% of QTLs. …”
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  5. 1185

    Selective hydrogenolysis of 5-(hydroxymethyl)furfural over Pd/C catalyst to 2,5-dimethylfuran by Bhanupratap S. Solanki, C.V. Rode

    Published 2019-05-01
    “…Several metal supported catalysts were prepared and evaluated for 5-(hydroxymethyl)furfural (5-HMF) hydrogenolysis to 2,5-dimethylfuran (2,5-DMF) which is a renewable potential fuel additive. Among the prepared catalysts, 3%Pd/C showed excellent performance in terms of complete conversion of 5-HMF along with the highest selectivity of 99% to 2,5-DMF. …”
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  6. 1186

    A New Approach to Selecting Optimal Parameters for the Sliding Mode Algorithm on an Automotive Suspension System by Tuan Anh Nguyen

    Published 2023-01-01
    “…The SM algorithm’s parameters are optimally selected using the multiple loop algorithm. The multiple loop algorithm allows the values to vary within a predefined limit and provides an optimal parameter based on the vehicle’s vibration conditions. …”
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    Article
  7. 1187

    Selective Agglomeration and Separation from Heterogeneous Suspensions of Submicron Particles by Controlling Electrostatic Particle Interactions by Christoph Peppersack, Arno Kwade, Sandra Breitung-Faes

    Published 2025-03-01
    “…Since a separation of the agglomerates can be achieved by simply using centrifugal forces, the shown technique is easy to apply and valuable for various industrial fields such as chemical and pharmaceutical engineering or recycling processes. In addition, no external additives are required for selective agglomeration, eliminating the risk of secondary contamination.…”
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  8. 1188

    An XGBoost-SHAP Model for Energy Demand Prediction With Boruta&#x2013;Lasso Feature Selection by Yiwen Wang, Weibin Cheng, Yuting Jin, Jifei Li, Yantian Yang, Shaobing Hu

    Published 2025-01-01
    “…This study proposes an interpretable ML framework for energy demand prediction based on the Boruta-Lasso two-stage feature selection model, extreme gradient boosting (XGBoost) regression model, grid search optimization algorithm, and Shapley additive explanations (SHAP) algorithm. …”
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    Article
  9. 1189
  10. 1190

    Sensing of p-nitrophenol using highly selective and sensitive Boran, Nitrogen doped quantum dots by Ravi Pratap, Shriya Pandey, Vipul Vishal, Ishika Raghuvanshi, Sunil Kumar, Jayeeta Lahiri, Avanish Singh Parmar

    Published 2024-12-01
    “…Our simple fluorimetry-based sensor demonstrated an impressive limit of detection (LOD) of 9.08 nM, making it highly selective and sensitive for the detection of PNP. Additionally, the B,NQDs exhibited exceptional stability with respect to pH, UV exposure, salinity, and storage conditions. …”
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    Article
  11. 1191

    Algorithm of selection of acetabular component of hip joint endoprothesis in patients with femoral head aseptic necrosis. by A. Ye. Loskutov, A. Ye. Olejnik, A. V. Altanets, Ye. A. Kovbasa

    Published 2015-03-01
    “…The article represents a comparative roent­gen­morphometric analysis of hip joint deformation development in femoral head aseptic necrosis (FHAN) that was done to identify criteria which determine the selection of the acetabular component of the total hip joint endoprosthesis. …”
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  12. 1192

    Targeted Engagement of the Action Selection Network during Task-Oriented Arm Training after Stroke by Jill Campbell Stewart, Kaci Handlery, Jessica F. Baird, Erika L. Blanck, Geetanjali Pathak, Stacy L. Fritz

    Published 2020-01-01
    “…Action selection (AS), or selection of an action from a set of alternatives, is an important movement preparation process that engages a frontal-parietal network. …”
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  13. 1193

    Methanol crossover and selectivity of nafion/heteropolyacid/montmorillonite nanocomposite proton exchange membranes for DMFC applications by M. Azimi, S.J. Peighambardoust

    Published 2017-08-01
    “…The methanol permeability was significantly reduced by the incorporation of MMT and increased by addition of CsPW in the nafion membrane. Finally, according to the selectivity results, the nafion-MMT-CsPW nanocomposite membrane with MMT mass fraction of 2.5% and CsPW mass fraction of 8% shows the best membrane selectivity and this nanocomposite membrane could be suitable for application in DMFCs.…”
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  14. 1194
  15. 1195

    Effect of selective laser melting process parameters on microstructure and properties of CuCrZr alloys by WANG Qingjuan, ZHANG Xi, WANG Kuaishe, LIU Shifeng, ZHANG Yufeng, SHAO Huijun

    Published 2024-11-01
    “…CuCrZr alloy powders were used as basic materials and manufactured by selective laser melting. Additionally, the effect of laser energy density on the microstructure and characteristics of SLM CuCrZr alloy was investigated. …”
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  16. 1196

    In Vitro Selection of Cancer Cell-Specific Molecular Recognition Elements from Amino Acid Libraries by Ryan M. Williams, Letha J. Sooter

    Published 2015-01-01
    “…This review outlines the construction of peptide and antibody fragment libraries as well as their different host types. Common methods of selection are also reviewed. Additionally, examples of cancer cell MREs are discussed, as well as their potential applications.…”
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  17. 1197

    Quantum and classical dynamics comparison: A way for selecting the vector potential across diverse frames by Maryam Pakpour, Amir H. Darooneh, Mohammad Mahmoudi

    Published 2025-02-01
    “…This novel approach introduces a method for selecting the appropriate vector potential in the laboratory frame.…”
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  18. 1198

    Selection index for economically important traits in Boer crossbred goats using principal component analysis. by Zeleke Tesema, Belay Deribe, Mekonnen Tilahun, Alemu Kefale, Mesfin Lakew, Tesfaye Getachew, Getachew Worku Alebachew, Solomon Gizaw

    Published 2025-01-01
    “…According to the Kaiser method, two principal components were selected from seven investigated traits. The first principal component (PC1) explained 57.71%, and the second principal component (PC2) explained 14.57% of the estimated breeding value variance, totaling 72.28% of the total genetic additive variance. …”
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  19. 1199

    The effect of high approach-motivated positive affect on selective attention under high perceptual load by Fang Liu, Fang Liu, Qin Zhang

    Published 2025-08-01
    “…Additionally, it remains unclear whether emotional motivation’s influence on selective attention differs across various levels of perceptual load.MethodsThis study employed a modified perceptual load Flanker task, using behavioral measures and event-related potentials (ERPs) technique to investigate how the intensity of approach-motivated positive affect influences selective attention under different levels of perceptual load. …”
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  20. 1200

    Method for discovering novel DNA viruses in blood using viral particle selection and shotgun sequencing by Mya Breitbart, Forest Rohwer

    Published 2005-11-01
    “…This method employs selection based on the physical properties of viruses combined with sequence-independent amplification and cloning. …”
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