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  1. 1061

    Impact of Feed Composition on Rumen Microbial Dynamics and Phenotypic Traits in Beef Cattle by André L. A. Neves, Ricardo Augusto Mendonça Vieira, Einar Vargas-Bello-Pérez, Yanhong Chen, Tim McAllister, Kim H. Ominski, Limei Lin, Le Luo Guan

    Published 2025-01-01
    “…Fifty-nine Angus bulls were assigned to forage- and grain-based diets in a randomized block design, evaluating microbial dynamics, methane emissions, and feed efficiency. Quantitative PCR (qPCR) quantified bacterial, archaeal, fungal, and protozoal populations. …”
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    Characteristics and driving factors of power generation performance in microbial fuel cells: an analysis based on the CNKI database by Ruikai Zhang, Wentao Dai, Hongyong Xiang, Hongyong Xiang, Hongyong Xiang, Jie Chen, Jie Chen, Jie Chen, Ting Yi, Jiayi Li, Jiebin Zhang, Qiuxi Yang, Rui Xiao, Xiang Li

    Published 2025-06-01
    “…In this study, we collected a total of 10,826 cases from 186 publications in the China National Knowledge Infrastructure Database to quantitatively and systematically investigate the general patterns and driving factors of power generation performance in MFCs. …”
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  9. 1069

    Two-dimensional modeling of nitrate transport in canola field under Moistube irrigation using HYDRUS 2D/3D by Tinashe Lindel Dirwai, Tinashe Lindel Dirwai, Aidan Senzanje, Aidan Senzanje, Tafadzwanashe Mabhaudhi, Tafadzwanashe Mabhaudhi, Tafadzwanashe Mabhaudhi, Tafadzwanashe Mabhaudhi

    Published 2025-07-01
    “…IntroductionUnderstanding nitrate distribution and leaching under various irrigation strategies is critical for optimizing nitrogen use efficiency and minimizing environmental losses. While previous studies have explored wetting patterns under Moistube Irrigation (MTI) and discussed qualitative nitrate retention, few have quantitatively simulated nitrate transport through variably saturated zones with fine temporal-spatial resolution.MethodsA field experiment was conducted in a 20 m × 8 m naturally ventilated greenhouse using three irrigation regimes: (i) full irrigation (100% ETc), (ii) optimal deficit irrigation (75% ETc), and (iii) extreme deficit irrigation (55% ETc). …”
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  10. 1070

    Energy-Aware Machine Learning Models—A Review of Recent Techniques and Perspectives by Rafał Różycki, Dorota Agnieszka Solarska, Grzegorz Waligóra

    Published 2025-05-01
    “…Key techniques, such as model compression, pruning, quantization, and cutting-edge hardware design, take center stage in the discussion. …”
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    A Novel Uranium Quantification Method Based on Natural <i>γ</i>-Ray Total Logging Corrected by Prompt Neutron Time Spectrum by Yan Zhang, Jinyu Deng, Bin Tang, Haitao Wang, Rui Chen, Xiongjie Zhang, Zhifeng Liu, Renbo Wang, Shumin Zhou, Jinhui Qu

    Published 2025-06-01
    “…The drilling core sampling and chemical analysis method for the quantitative determination of solid mineral deposits has several drawbacks, including a low core drilling efficiency, a high core sampling cost, and a long chemical analysis cycle. …”
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  16. 1076

    Examining the Impact of Multilevel Courtyards in Hot-Dry and Humid Climates by Eleazar Chidiadi, Ahmad Taki

    Published 2025-05-01
    “…A mixed-method approach, combining quantitative and qualitative techniques, assesses user perceptions, thermal performance, energy efficiency, and daylighting in multilevel courtyards. …”
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    Methodological approaches to assessing the management system of a modern enterprise by M. Yu. Dikanov, I. S. Kuvaldina

    Published 2020-12-01
    “…In order to increase the economic efficiency of the enterprise management system, the following measures are proposed: 1. …”
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  19. 1079

    The impact of using artificial intelligence techniques on the performance of turbine stations: A mini review by Ali Fadiel, Moktar Mohamad, Hafiez Khalid, Younis Esham

    Published 2025-07-01
    “…This study aims to review the use of artificial intelligence applications in the management of gas turbine stations and their impact on enhancing and raising the efficiency of these stations, including managing the stations themselves, then improving operational efficiency, predicting faults, and developing strategies for road maintenance and precautionary maintenance while reducing the cost through a methodology that is a combination. …”
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