Showing 601 - 620 results of 32,326 for search 'efficiency analysis three', query time: 0.26s Refine Results
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    Determinants of banking efficiency in the MENA region: A two-stage DEA-Tobit approach by Soufiane Benbachir

    Published 2025-02-01
    “…Using a Data Envelopment Analysis, the study evaluates efficiency based on three inputs and two outputs. …”
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    Efficient Generative-Adversarial U-Net for Multi-Organ Medical Image Segmentation by Haoran Wang, Gengshen Wu, Yi Liu

    Published 2025-01-01
    “…Consequently, EGAUNet demonstrates exemplary segmentation performance on public multi-organ datasets while maintaining high efficiency. For instance, in evaluations on the CHAOS T2SPIR dataset, EGAUNet achieves approximately <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>2</mn><mo>%</mo></mrow></semantics></math></inline-formula> higher performance on the Jaccard metric, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>1</mn><mo>%</mo></mrow></semantics></math></inline-formula> higher on the Dice metric, and nearly <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>3</mn><mo>%</mo></mrow></semantics></math></inline-formula> higher on the precision metric in comparison to advanced networks such as Swin-Unet and TransUnet.…”
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    Research on Rehabilitation Training Based on Principal Component Analysis of Three Dimensional Motion Data of Taijiquan by Xiang LI, Jian WANG, Tianjiao LI, Xiangbin WANG

    Published 2016-02-01
    “…Objective:In order to improve the effectiveness of rehabilitation training, using the principal component analysis method to study movement characteristics of TAI CHI action.Methods:The subjects played Taijiquan "YUNSHOU" action of YANG style, meanwhile, the three dimensional motion capture system (Motion Analysis) were used for data acquisition, collected motion data of elbow, shoulder, head and body cadres, and then analyzed the data by principal component analysis method.Results:The obtained data were statistically analyzed, which showed that the selected joints motion data were correlated (<italic>P</italic>&lt;0.01), head rotation angle and torso rotation angle existed significant correlation (correlation coefficient is 0.993, <italic>P</italic>&lt;0.01), head rotation angle and shoulder flexion angle were correlated (<italic>P</italic>&lt;0.01), shoulder flexion angle and elbow flexion angle were correlated (<italic>P</italic>&lt;0.01); principal component analysis results showed that when the trunk rotation angle was taken as variables, elbow flexion angle, shoulder flexion angle, head rotation angle were considered as independent variables, all the joints were involved in completing the hand movements (<italic>P</italic>&lt;0.01).Conclusion:Taijiquan "YUNSHOU" movements can be divided into two main components, the main motion components can be decomposed in the rehabilitation training were conducted, and then whole motion integration training were conducted, it will speed up motor learning process during rehabilitation period, improve coordination of action, thus achieving the purpose of fast and efficient recovery.…”
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    Precision in 3D: A Fast and Accurate Algorithm for Reproducible Motoneuron Structure and Protein Expression Analysis by Morgan Highlander, Shelby Ward, Bradley LeHoty, Teresa Garrett, Sherif Elbasiouny

    Published 2025-07-01
    “…This novel, customizable tool enables efficient and high-fidelity 3D motoneuron analysis, replacing tedious, qualitative, cell-by-cell manual tuning with automatic threshold adaptation and quantified batch settings. …”
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    Preparation and Characterization of Mesoporous Activated Carbon-Supported Tin Oxide Nanocomposites from Agro-Waste (Cyperus Corymbosus Grass Stem) and its Use as a Highly Efficient... by Stanelybritto MARIA ARUL FRANCIS, Sharmil Suganya RAJAN BABU, Venugopal THIRUVENGADAM

    Published 2025-05-01
    “…The CCSAC-SnO2 nanocomposite was used as a nanocatalyst in a three-component reaction. This study highlights the potential of utilizing plant waste to prepare valuable mesoporous CCSAC-SnO2 nanocomposite, highlighting both environmental sustainability and catalytic efficiency.…”
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