Showing 3,281 - 3,300 results of 56,754 for search 'data developing analysis', query time: 0.33s Refine Results
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    「情緒勒索量表」中文化之信效度分析 Development and Psychometric Analysis of an Emotional Blackmail Scale by 郭郡羽 Chun-Yu Kuo1, 黃子格 Zi-Ge Huang, 張仁和 Jen-Ho Chang

    Published 2025-03-01
    “…綜上所述,繁體中文版之情緒勒索量表具有良好的信、效度,可用於評估親子關係間的情緒勒索經驗。 Development and Psychometric Analysis of an Emotional Blackmail Scale Emotional blackmail is a form of emotional manipulation where the blackmailer uses negative emotions such as fear, guilt, or obligation to compel the victim to comply with their demands. …”
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    Predictive modeling of the development height of water-conducting fracture zones in mines in Shandong mining area by XU Dongjing, DOU Xuan, LI Ye, XIA Zhicun

    Published 2025-02-01
    “…Taking 36 sets of data measuring the development height of hydraulic fracture zones under similar geological conditions in Shandong mining area as example for analysis, we selected coal seam thickness, mining depth, sloping length of working face, and hard rock lithology ratio coefficient as the main control factors for the prediction model. …”
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    Balanced Establishment and Unbalanced Development: An Analysis on the West of Zagros Macro - region Urban System with an Emphasis on Instability and Inefficacity of Small Towns by Esmaeel Aliakbari, Mostafa Taleshi, Mohammad Faraji Darabkhani

    Published 2015-11-01
    “…Appearing in the west of Zagros macro-region, this model makes not only a turmoil in logical relations among small, middle and large cities, but also a disturbance and lack of spatial balance in urban-regional system. 2- Materials and Methodologies Applying descriptive-analytical method, the present study aims at analyzing and reducing the urban-regional imbalances in the studied region based on small town development. The data were gathered based on the Population and Housing censuses Statistics, during a period from 1976- 2011 by applying the library method. …”
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  7. 3287

    Development of a nomogram to predict in-ICU mortality of elderly patients with sepsis-associated liver injury: an analysis of the MIMIC-IV database by Xuemei Hu, Xuemei Hu, Jianbao Wang, Jianbao Wang, Susu Cao, Susu Cao, Aolin Xia, Aolin Xia, Xiaocong Jiang, Xiaocong Jiang, Tianfeng Hua, Tianfeng Hua, Min Yang, Min Yang

    Published 2025-03-01
    “…This study seeks to address this gap by developing a practical nomogram to predict risk factors associated with in-ICU mortality in patients suffering from SALI.MethodsData were extracted from the MIMIC-IV database, a Critical Care Public Medical Information Mart. …”
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    Economic and technological aspects of the impact of PM2.5 particles on human health and productivity by Dejan Lončar, Vesna Krstić, Tyack Nicholas Brown, Mihailo Jovanović, Jane Paunković

    Published 2022-06-01
    “…The paper aims to clarify the long-term effect of PM2.5 on health outcomes, control of technological and economic growth, as well as other important factors, based on the analysis of given panel data and the application of modern econometric methods. …”
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    Evaluating eco-innovation efficiency and club convergence trends across the European Union: A window slack-based measure approach by Carla Henriques, Clara Viseu, Sara Sousa

    Published 2025-06-01
    “…This study assesses the eco-innovation efficiency of 27 European Union member states from 2016 to 2023, using a Window Slack-Based Measure Data Envelopment Analysis model and club convergence analysis across five dimensions: finance and support, firm investments, intellectual assets, sales impacts, and environmental sustainability. …”
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    Development of the Methodology and Mathematical Tools for Strategic Decision-Making Process Modeling of the Digital Business Ecosystem by Vitaly Viktorovich Kuzin, Oksana Yurievna Kirillova, Leonid Alexandrovich Zhigun, Alla Vavilina

    Published 2025-03-01
    “…The results of the study allow formulating recommendations for top management on making management decisions and points of application of efforts. Combining the developed methodology with promising technologies for automated calculation of big data and AI will provide a flexible management tool with the possibility of its further development.…”
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    Leveraging Digital Twin for operational resilience in the oil and gas industry by Giovanni Mazzuto, Ilaria Pietrangeli, Marco Ortenzi, Filippo Emanuele Ciarapica, Maurizio Bevilacqua

    Published 2025-09-01
    “…The DT integrates the same digital PID controllers used in the real plant to replicate system dynamics and predict anomalous behaviours. Developed within the EU- and MUR-funded RESIST project, the DT is part of a broader digital environment that includes both the plant and operator models, aimed at enhancing system resilience.A Gradient Boosted Tree algorithm, selected through comparative analysis, proved the most reliable technique for predictive modelling. …”
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    Investigating the Reliability of Heating, Ventilation, and Air Conditioning Systems Utilized in Passenger Vehicles by Sonali K. Kale, Mahendra Shelar, Shashikant Auti, Prachi V. Ingle, Anindita Roy, Chandrakant R. Sonawane, Rajkumar Bhimgonda Patil

    Published 2024-11-01
    “…A methodology for analyzing the reliability analysis of a HVAC system using field failure data were developed to identify the critical failure modes, components, and subsystems. …”
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    Predicting optimal surgeon volume in patients with early gastric cancer by A. A. Dylenok, V. V. Rybachkov, V. N. Malashenko, S. V. Kashin, L. B. Shubin, A. B. Vasin

    Published 2023-01-01
    “…Th e research involved the data obtained from “Database of patients with gastric cancer, reflecting statistics of patients with a particular variant of surgical intervention, treated at Yaroslavl Regional Clinical Oncological Hospital during the period from 2009 to 2019”. …”
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    The role of the coach developer in the development of sports coaches’ competencies by Piotr Marek, Marcin Krawczyński, Michał Lenartowicz

    Published 2025-03-01
    “…Methods: We performed an analysis of secondary data on the system of sports training and continued professional development in Poland. …”
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    Exploring machine learning trends in poverty mapping: A review and meta-analysis by Badri Raj Lamichhane, Mahmud Isnan, Teerayut Horanont

    Published 2025-06-01
    “…This study provides a comprehensive review and meta-analysis of 215 peer-reviewed articles published on Scopus from 2014 to 2023, underscoring the capacity of ML methods to enhance poverty mapping through satellite data analysis. …”
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