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    Effects of Transcutaneous Electroacupuncture Stimulation (TEAS) on Eyeblink, EEG, and Heart Rate Variability (HRV): A Non-Parametric Statistical Study Investigating the Potential o... by David Mayor, Tony Steffert, Paul Steinfath, Tim Watson, Neil Spencer, Duncan Banks

    Published 2025-07-01
    “…This study investigates the effects of transcutaneous electroacupuncture stimulation (TEAS) on eyeblink rate, EEG, and heart rate variability (HRV), emphasising whether eyeblink data—often dismissed as artefacts—can serve as useful physiological markers. …”
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  4. 1744
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    Variabilidade espacial das propriedades físicas e químicas do solo em áreas intensamente cultivadas Spatial variability of physical and chemical properties of soil in intensively c... by Gláucia de Mello, Célia R. P. Bueno, Gener T. Pereira

    Published 2006-06-01
    “…The chemical variables: P, organic matter (OM), K, Ca, Mg, pH, CEC and base saturation (BS); and physical variables: sand and clay were analysed. …”
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    Analysis of Factors Affecting Economic Growth in Bangka Belitung Province, Indonesia with LSDV And FGLS Methods by Darman Saputra

    Published 2018-02-01
    “…To produce the best model with GDP data of GRASB. Variables that do not occur heteroscedasticity and models that meet the smallest sum square of error is the variable Mining and Processing Industry, this variable affects the per capita income. …”
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  10. 1750

    Quantitative assessment of the economic feasibility of thermal storage systems by Yuhji MATSUO, Takashi OTSUKI

    Published 2025-01-01
    “…As concerns over climate change grow and large-scale introduction of variable renewable energy is expected in many countries, the importance of energy storage systems is more strongly recognized than ever before. …”
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    AI-Driven Future Farming: Achieving Climate-Smart and Sustainable Agriculture by Karishma Kumari, Ali Mirzakhani Nafchi, Salman Mirzaee, Ahmed Abdalla

    Published 2025-03-01
    “…As a result, “Smart Farming”, which uses cutting-edge artificial intelligence (AI) to support autonomous decision-making, has become more popular. This article explores how the Internet of Things (IoT), AI, machine learning (ML), remote sensing, and variable-rate technology (VRT) work together to transform agriculture. …”
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  13. 1753

    Hydrologic model calibration approaches for highly regulated river basin: A comprehensive assessment by Md Rasel Sheikh, Paulin Coulibaly

    Published 2025-04-01
    “…Using the semi-distributed RAVEN models, it explores single-site versus multi-site, single-variable versus multi-variable, and single-objective versus multi-objective calibration schemes. …”
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  14. 1754

    Optimal Scheduling of Port Integrated Energy System Considering Flexible Loads and Multi-Operation Mode Combinations of Electrolyzers by Yixue REN, Peng CHENG

    Published 2025-05-01
    “…The introduction of demand response mechanisms for multi-energy flexible loads and the variable load start-stop characteristics of electrolyzers have become an inevitable trend in the development of port integrated energy systems (PIES). …”
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  15. 1755

    Molecular typing of Shigella sonnei isolates circulating in Nanjing, China, 2007–2011 by Tingting Cheng, Xiaochao Shi, Wei Yong, Jianping Wang, Guoxiang Xie, Jie Ding

    Published 2014-12-01
    “…MLVA based on eight selected VNTR loci represented a more favorable degree of discrimination than did PFGE and may be a reliable complement for PFGE for routine subtyping of S. sonnei. …”
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  16. 1756

    An innovative data-driven quantitative prediction method aiming at base groundwater intrusion risk under extra-thick coal seam mining and its practical application by Hao Zhan, Shouqiang Liu, Bo Wu, Qinghan Meng, Yanling Cao, Fan Yang, Qiwei Feng, Wenlong Liu, Wenfeng Zhu, Yangyang Zhao

    Published 2025-12-01
    “…The coal production process is faced with intricate groundwater intrusion mechanisms and variable groundwater intrusion primary governing factors, and the uncertainties associated with the factors make the prediction of base groundwater intrusion more difficult. …”
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  17. 1757

    Assessing Farmers’ Prefrences in using Water Resources in Varamin Plain, Iran A Discrete Choice Experiment Technique by Hojatolah Shayeganfard, Mohsen Mehrara

    Published 2025-03-01
    “…On the other hand, "monitoring status of water mains" variable has the least importance in the preferences of the respondents (farmers) in such a way that they are willing to pay only 11% more for intensifying monitoring of water mains. …”
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    Contributions of a community health worker program in improving district health system performance in South Africa, using routine health service variables in a quasi-experimental s... by Leena Susan Thomas, Joyce Jordaan, Yogan Pillay, Eric Buch

    Published 2025-08-01
    “…Over nine years, intervention clinics showed more improved performance, statistically significant, in six health variables while controls improved in four. …”
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