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  1. 581

    Quantitative Understanding of the Adsorption Equilibria of Acetone on Mesoporous Silica MSU-H in Supercritical CO2 by Ikuo Ushiki, Mizuki Hironaka

    Published 2025-12-01
    “…In this study, we quantitatively evaluated the adsorption equilibrium of acetone on MSU-H type mesoporous silica in supercritical CO2 at T = (333–353) K and P = (10.0–15.0) MPa using a fixed-bed adsorption system. …”
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    Quantitative Assessment of Soil and Water Loss in the Nanpan and Beipan River Basins Based on CSLE Model by LIU Xiaolin, SHI Yandong, ZENG Xiaolei, HUANG Hairong, YIN Bin

    Published 2024-01-01
    “…The quantitative assessment of soil and water loss can provide a scientific basis for preventing and controlling soil and water loss disasters and implementing ecological environmental construction.Based on the spatial analysis and data management functionalities on the ArcGIS platform with multisource remote sensing imagery used as the information source,the data of land use,vegetation cover,and terrain slope in the Nanpan River and Beipan River basins were obtained.The soil erosion modulus was calculated by employing China soil loss equation (CSLE),yielding monitoring results for soil and water loss in the Nanpan River and Beipan River basins.The results show that in 2021, the total area affected by soil and water loss in the Nanpan River and Beipan River basins was 23 966.97 km<sup>2</sup>,primarily characterized by mild erosion intensity.Soil and water loss in the northeast part of the basins was more severe than that in the southwest part.The phenomenon mainly occurred in arable land,woodland,and grassland,accounting for over 90% of the total soil and water loss area,with vegetation cover at all levels showing a prevalence of mild and moderate erosion.Soil and water loss in the entire region mainly occurred in slope grades ranging from 6° to 35°.In general,the issue of soil and water loss remains prominent in specific regions of the Nanpan and Beipan River basins.It is necessary to adopt a combined approach of prevention and remediation to address this issue and improve the overall situation.…”
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    Unified Quantile Regression Deep Neural Network with Time-Cognition for Probabilistic Residential Load Forecasting by Zhuofu Deng, Binbin Wang, Heng Guo, Chengwei Chai, Yanze Wang, Zhiliang Zhu

    Published 2020-01-01
    “…Due to the difficulty in producing reliable point forecasts, probabilistic load forecasting becomes more popular as a result of catching the volatility and uncertainty by intervals, density, or quantiles. In this paper, we propose a unified quantile regression deep neural network with time-cognition for tackling this challenging issue. …”
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    Adaptive Finite-Time Control on SE(3) for Spacecraft Final Proximity Maneuvers with Input Quantization by Sai Zhang, Zhen Yang

    Published 2021-01-01
    “…Meanwhile, the hysteresis logarithmic quantizer is implemented to effectively reduce the frequency of data transmission and the quantization errors are reduced under the proposed controller. …”
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    Relative validity and reproducibility of a short semi-quantitative food frequency questionnaire for Chinese athletes. by Qian Xu, Yudan Chu, Huajun Tian, Guoqiang Ma, Jun Qiu, Qiuping Zhang

    Published 2025-01-01
    “…The aim of this study was to assess the validity of a short semi-quantitative food frequency questionnaire (FFQ) through comparison with 3-day weighed food records (3DWFRs) and corresponding serum biomarkers from a cohort of 102 professional athletes, while also evaluating its reproducibility. …”
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  17. 597

    Evaluation of Feulgen Reaction for Quantitative DNA Analysis in Oral Leukoplakia: Insights into Malignant Transformation Risk by Amit Kumar Srivastava, Ruchi Jain, Aishwarya Srivastava, Swati Shrivastava

    Published 2024-12-01
    “…The Feulgen reaction, a DNA-specific staining technique, has been widely used for the quantitative analysis of DNA content in various tissues. …”
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    EfficientNet-b0-Based 3D Quantification Algorithm for Rectangular Defects in Pipelines by Di Wu, Yong Hong, Jie Wang, Shaojun Wu, Zhihao Zhang, Yizhang Liu

    Published 2025-01-01
    “…Quantitative analysis of the magnetic leakage signal is crucial for evaluating the magnitude of pipeline damage after fault detection. …”
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