Analysis of international practice in the development and implementation of public administration digital platforms by A. I. Denisova, O. M. Pisareva, S. A. Suyazova

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A task decomposition and scheduling model for power IoT data acquisition with overlapping data efficiency optimization by Jindong Cui, Yuqing Wang, Zengchen Zhu, Ruotong Li

“…This paper proposes a data acquisition task decomposition and scheduling method optimized through overlapping data analysis. …”
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Business intelligence for decision-making in royalties project management by Juan Sebastián Sánchez Gómez, Edwin Andres Arevalo Herrera, Cristian Camilo Torres Puentes

“… This article highlights the critical role of specialized digital tools in enhancing project management and monitoring in Colombia's public sector, it showcases how Microsoft Office 365 and Power Platform have been effectively utilized to optimize royalty-funded initiatives, automating processes and improving decision-making through advanced data análisis. These tools enable process optimization, task automation, and enhanced data analysis, significantly improving the administration of resources and facilitating timely, well-informed decision-making. …”
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A hybrid deep learning model for predicting atmospheric corrosion in steel energy structures under maritime conditions based on time-series data by Mohamed El Amine Seghier Ben, Tam T. Truong, Christian Feiler, Daniel Höche

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Data-Driven Energy Analysis for a Set of Rooftop Photovoltaic Systems Featuring Different Installation Characteristics: A Pairwise, Early-Life Performance Comparison by Konstantinos Christopoulos, Dimitrios Zafirakis, Kosmas A. Kavadias, John K. Kaldellis

“…The specific research presents a detailed, data-driven energy analysis on the early-life operation of two rooftop photovoltaic (PV) systems. …”
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Extraction and analysis of alteration minerals from GF-5 hyperspectral data: a case study of the quartz-vein type tungsten deposit in Jiaoxi, Tibet by Ziqiong Guan, Xinxing Liu, Liqiang Wang, Meng Wang, Yingxue Wang, Yang Cheng

“…Integrating field spectra with geological and hyperspectral data enhanced extraction accuracy and efficiency. …”
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Biomechanical and clinical comparison of different prosthetic in reconstruction following total en bloc spondylectomy in the thoracolumbar spine: based on finite element analysis a... by Zhangui Gu, Zhangui Gu, Long Ma, Long Ma, Qiang Liu, Qiang Liu, Kun Wang, Zongqiang Yang, Zongqiang Yang, Ningkui Niu, Jiandang Shi

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A Comprehensive Review of Artificial Intelligence-Based Algorithms for Predicting the Remaining Useful Life of Equipment by Weihao Li, Jianhua Chen, Sijuan Chen, Peilin Li, Bing Zhang, Ming Wang, Ming Yang, Jipu Wang, Dejian Zhou, Junsen Yun

“…In the contemporary big data era, data-driven prognostic and health management (PHM) methodologies have emerged as indispensable tools for ensuring the secure and reliable operation of complex equipment systems. …”
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TBDBT: A TB DataBase Template for collection of harmonized TB clinical research data in REDCap, facilitating data standardisation for inter-study comparison and meta-analyses. by Taryn Allie, Amanda Jackson, Jon Ambler, Katherine Johnston, Elsa Du Bruyn, Charlotte Schultz, Linda Boloko, Sean Wasserman, Angharad Davis, Graeme Meintjes, Robert J Wilkinson, Nicki Tiffin

“…This REDCap template can facilitate collection of high-quality data for tuberculosis research, providing a tool to ensure better data harmonisation, analysis and meta-analysis.…”
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The moderating and mediating role of eating behaviour traits in acceptance and commitment therapy-based weight management interventions: protocol for an individual participant data... by Julia Mueller, Amy Ahern, Laura Kudlek, Patricia Eustacio Colombo, Stephen J. Sharp, Simon J. Griffin

“…We will examine (a) whether ACT-based interventions are more effective for people with certain levels of EBTs (ie, moderation) and (b) whether ACT-based interventions operate through changes in EBTs (ie, mediation).Methods and analysis This individual participant data (IPD) meta-analysis will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses of Individual Participant Data guidance. …”
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Differentiating placenta accreta spectrum from scar dehiscence with underlying, non‐adherent placenta: A systematic review of scoring systems and primary data analysis by Theophilus K. Adu‐Bredu, Rozi Aditya Aryananda, Joseph Arkorful, Sam Matthewlynn, Sally L. Collins

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Pronounced effects of the sepsis–obesity paradox in elderly and male individuals without septic shock and the role of immune–inflammatory status: an analysis of MIMIC-IV data by Zhe Xu, Zhuojie Li, Ruguo Zhang, Guoxuan Peng, Jingzhong Ge, Shanpeng Luo, Chen Liu, Ling Zeng, Jin Deng

“…Methods In this study, we analyzed data from 6602 sepsis patients from the MIMIC-IV database. …”
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Influence of seasonality on excursion demand: statistical approach by Liudmyla Hutsal, Valentyna Stoliar

“…The purpose of the article is to analyze seasonal trends in excursion demand based on statistical methods, which allows identifying patterns in consumer behavior and adapting the offers of tour operators to improve business efficiency. Based on the data, a regression and correlation analysis was performed to identify the key factors that affect fluctuations in the demand for excursions in different seasons of the year. …”
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An Integrated Approach to Stock Selection and Ranking: Combining Shannon Entropy Technique, DEA, and Inverse DEA by Temitope Olubanjo Kehinde, Sai-Ho Chung, Oludolapo A. Olanrewaju

“…This study proposes a novel, integrated framework that combines Shannon Entropy Technique (SET), Data Envelopment Analysis (DEA), and Inverse DEA (IDEA) for the objective evaluation and ranking of equities, with a case application to the tourism sector of the Taiwan Stock Exchange (TWSE). …”
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A Green Cloud-Based Framework for Energy-Efficient Task Scheduling Using Carbon Intensity Data for Heterogeneous Cloud Servers by B. M. Beena, Prashanth Cheluvasai Ranga, Thotapalli Sri Surya Manideep, Sneha Saragadam, Garikipati Karthik

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Comparison and Optimization of Generalized Stamping Machine Fault Diagnosis Models Using Various Transfer Learning Methodologies by Po-Wen Hwang, Yuan-Jen Chang, Hsieh-Chih Tsai, Yu-Ta Tu, Hung-Pin Yang

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A Data-Driven Approach for Automatic Aircraft Engine Borescope Inspection Defect Detection Using Computer Vision and Deep Learning by Thibaud Schaller, Jun Li, Karl W. Jenkins

“…However, traditional inspections are often performed manually, relying heavily on the judgment and experience of operators. This paper presents a data-driven deep learning framework capable of automatically detecting defects on reactor blades. …”
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Leveraging Data for University Activities: A Case Study of MNUE by Dolgorjav Chinbat

“…Importantly, this process-generated data stands as a priceless organizational asset, showing us the reality of operational dynamics. …”
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A text mining-based approach for comprehensive understanding of Chinese railway operational equipment failure reports by Xiaorui Yang, Honghui Li, Yi Xu, Nahao Shen, Ruiyi He

“…Comprehensive analysis and mining of historical railway operational equipment failure (ROEF) reports are of significant importance for improving railway safety. …”
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Evaluating the operational and financial performance of Community-Based visiting nursing center for elderly with the balanced scorecard model by Ji Young Lim, Seong Kwang Kim

“…This study applies the BSC model to evaluate performance across four perspectives—learning and growth, internal processes, customer, and financial—to identify key performance indicators (KPIs) and enhance operational efficiency. Methods A secondary data analysis was conducted using simulation data from the 3 S Business Intelligence System (3 S-BIS) program, reflecting operational data from a home-based long-term care facility in Seoul (January–December 2021). …”
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