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    Planning Water Distribution Network Renewal Using the SAM Model for Data Analysis of Historical Events by Sattar Salehi, Ali Abiati, Mohammad Rajabi, Massoud Khandaie

    Published 2024-11-01
    “…Planning for the renewal of water distribution networks typically considers factors such as events and failures of network pipes, along with water demand and network development. However, the analysis and evaluation of these factors within water and sewerage companies often lack precision, leading to ineffective planning for renewal activities. …”
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  3. 1223
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    A New Mathematical Model for Flank Wear Prediction Using Functional Data Analysis Methodology by Sonja Jozić, Branimir Lela, Dražen Bajić

    Published 2014-01-01
    “…In order to be able to predict flank wear a new linear regression mathematical model has been developed by utilizing functional data analysis methodology. …”
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    Strengthening routine health data analysis in Ethiopia: the Operational Research and Coaching for Analysts (ORCA) experience by Joanna Busza, Seblewengel Lemma, Annika Janson, Serawit Omar Adem, Della Berhanu, Atkure Defar, Lars-Åke Persson, Carina Källestål

    Published 2021-01-01
    “…We present the development, experiences, and perceptions of ORCA as a mechanism to enhance data quality, analysis, interpretation and use. …”
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    The Evolution of Ecological and Environmental Governance Attention Allocation in J City Based on Big Data Analysis by Jing Gao, Yuhan Sun

    Published 2022-01-01
    “…This study takes J City in Northeast China as an example. Based on big data analysis, this study analyses the evolution process of governance attention allocation in J City. …”
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    A framework for prospective, adaptive meta-analysis (FAME) of aggregate data from randomised trials. by Jayne F Tierney, David J Fisher, Claire L Vale, Sarah Burdett, Larysa H Rydzewska, Ewelina Rogozińska, Peter J Godolphin, Ian R White, Mahesh K B Parmar

    Published 2021-05-01
    “…These are to: (1) start the systematic review process early, while trials are ongoing or yet to report; (2) liaise with trial investigators to develop a detailed picture of all eligible trials; (3) prospectively assess the earliest possible timing for reliable meta-analysis based on the accumulating aggregate data; (4) develop and register (or publish) the systematic review protocol before trials produce results and seek appropriate aggregate data; (5) interpret meta-analysis results taking account of both available and unavailable data; and (6) assess the value of updating the systematic review and meta-analysis. …”
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    The Use of the Data Envelopment Analysis–Malmquist Approach to Measure the Performance of Digital Transformation in EU Countries by Jarmila Horváthová, Martina Mokrišová

    Published 2024-10-01
    “…As part of this research, the Variable Returns to Scale Data Envelopment Analysis (VRS DEA) model and the Malmquist index (MI) based on the DEA approach were applied. …”
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    The effectiveness of curriculum standardization in data analysis and tools proficiency for undergraduate education: a case study by Lorena DelaTorre-Diaz, Héctor X. Ramírez-Pérez, David Escobar-Castillejos

    Published 2025-04-01
    “…IntroductionThe rapid evolution of technology necessitates the development of advanced computing and data analysis skills in undergraduate education. …”
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    Assessment of the Effectiveness of the European Union Countries Transition to a Circular Economy: Data Envelopment Analysis by Zh. S. Temerbulatova, A. Zhidebekkyzy, M. Grabowska

    Published 2021-10-01
    “…The article assessed the current and future state of the circular economy’s development in 27 countries of the European Union. The assessment was carried out using Data Envelopment Analysis based on data for 2019 of selected input and output parameters described by the circular economy. …”
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    Data analysis of high-throughput sequencing and microarray to identify key signatures of microribonucleic acids in glioblastoma by A. A. Pushkin, E. A. Dzenkova, N. N. Timoshkina, D. Yu. Gvaldin

    Published 2021-09-01
    “…A total of 156 glioblastoma samples with mRNA sequencing data, 571 samples with microarray microRNA analysis data, and 15 control samples were analyzed. …”
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