Intermediaries do matter: voluntary standards and the Right to Data Portability by Matteo Nebbiai

“…Finally, the historical analysis highlights that the RtDP was introduced when many private-run RSS schemes were already operating, and no evidence suggests that the GDPR impacted significantly on their spread.…”
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The role of blood donation on wheels in the blood collection chain operational logistics during the first wave of coronavirus disease 2019 pandemic by Suchet Sachdev, Nippun Prinja, Sangeeta Kumari, Lakhvinder Singh, Divjot Singh Lamba, Hari Krishan Dhawan, Ratti Ram Sharma

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Data-driven predictive models for sustainable smart buildings by Prabhu Rajaram, Gnana Swathika O․V․

“…In intelligent buildings, AI enables the analysis of vast amount of data collected from sensors and building systems, facilitating enhanced energy management, predictive maintenance, tailored comfort controls, and operational efficiencies derived from informed decisions based on operational conditions and occupant behavior trends, which aid in maximizing both functionality and sustainability of a building. …”
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Data Quality Assessment in Smart Manufacturing: A Review by Teresa Peixoto, Bruno Oliveira, Óscar Oliveira, Fillipe Ribeiro

“…The analysis carried out not only facilitates continuous monitoring of data quality but also supports informed decision-making, helping to improve operational efficiency in Industry 4.0 environments. …”
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FONDUE—Fine-Tuned Optimization: Nurturing Data Usability & Efficiency by Valerie Restat, Indra Diestelkämper, Meike Klettke, Uta Störl

“…In this paper, we present FONDUE, our vision of a well-founded end-to-end data quality optimizer. In contrast to many studies that consider data cleaning in the context of machine learning, our approach focuses on various scenarios, such as when preprocessing and downstream analysis are separated. …”
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What is integrative medicine? Establishing the decision criteria for an operational definition of integrative medicine for general practice health services research in Australia by Jennifer Hunter, Joanna E. Harnett, Wai-Jo Jocelin Chan, Marie Pirotta

“…Background: Operational definitions outline how a conceptual definition will be measured for consistent, reproducible data collection and analysis. …”
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Image-based and textbook-based virtual reality training on operational skills among junior residents: a proof of concept study by Wan-Ni Lin, Hai-Hua Chuang, Yi-Ping Chao, Li-Jen Hsin, Chung-Jan Kang, Tuan-Jen Fang, Hsueh-Yu Li, Li-Ang Lee

“…At the end of the study, learning satisfaction, experience, and overall effectiveness were evaluated using a global satisfaction scale, the AttrakDiff2 questionnaire, and group interviews. Qualitative data were analyzed using a thematic analysis framework. …”
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Evaluability Assessment: Clarifying Organizational Support and Data Availability by Joseph Hare, Timothy Guetterman

“…In addition, the availability of operational data facilitates analysis of the evaluand effect. …”
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Development of operational decision support tools for mechanized ski guiding using avalanche terrain modeling, GPS tracking, and machine learning by J. Sykes, J. Sykes, P. Haegeli, R. Atkins, P. Mair, Y. Bühler, Y. Bühler

“…The insights of our analysis provide a baseline for the development of effective decision support tools for backcountry avalanche risk management that can offer independent perspectives on operational terrain choices based on historic patterns or as a training tool for newer guides.…”
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Design of a multi-objective supply chain and distribution network using robust optimization with interval data mathematical programming and live traffic data by Mohsen Zarejeddi, Amir Izadi, Omid Titidezh, Hooman Razavi

“…To enhance the precision of transportation times, fuel consumption, and pollutant emissions calculations, live traffic data was utilized for parameter estimation. The model can recommend optimal routes for product transportation across stores, hubs, and customers, thereby optimizing the overall distribution chain, reducing operational costs, and improving transportation system efficiency. …”
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The Use Of Big Data Analytics In Healthcare Organization Management by Yu. V. Elbek

“…The study involved an in-depth analysis and consolidation of both general and specific aspects of the potential of big data analytics in the management practices of healthcare organizations. …”
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An Approach to Data Processing for the Smart District Heating System by A. V. Sednin, A. V. Zherelo

“…During the implementation of automated control systems of district heating, a number of information tasks of the lower level are being introduced, including the data collection for thermal and hydraulic modes of operation for monitoring, operational management and analysis of the effectiveness. …”
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Practice and effects of the "Integrated Control and Prevention of Three Highs and Six Diseases" strategy of chronic disease management in Chengyang district, Qingdao city: prelimin... by Haipeng WANG, Wenyu FAN, Xiaopang RAO, Yu ZHANG, Xinguo HOU, Liangxia CHEN, Gaohui ZHANG

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Deep Learning for Medical Image Analysis Applications in Disease Detection and Diagnosis by Panchadhyayee Swagata, N Shirisha, S Sureshkumar, Priya S Harthy Ruby, Ramalingam Vanaja, M Mahima

“…Its potential applications are indeed great, but realising its potential has been slow owing to a host of challenges such as implementing it in a real-life scenario, data privacy challenges, ethical concerns, AI models being biased, operating system structures needing to be interoperable with existing systems, and their compliance with regulating standards. …”
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A Systematic Review on the Use of Big Data in Tourism by Jafar Ahangaran, Abbas Sadeghnia

“…Articles were assessed based on various factors, including research topic, conceptual and theoretical descriptions, data sources, data types and sizes, data collection methods, data analysis techniques, and reporting and visualization methods. …”
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Análisis de consistencia de caminos bidireccionales usando mediciones continuas de velocidad de operación obtenidas con GPS Two-lane rural highways consistency analysis using conti... by Tomás Echaveguren

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Large Pretrained Foundation Model for Key Performance Indicator Multivariate Time Series Anomaly Detection by Xu Wang, Qisheng Xu, Kele Xu, Ting Yu, Bo Ding, Dawei Feng, Yong Dou

“…Yet, the development of effective deep learning models is hindered by several challenges: scarce and complex labeled data, noise interference from data handling, the necessity to capture temporal dependencies in time series KPI data, and the complexity of multivariate data analysis. …”
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Watch Your Callback: Offline Anomaly Detection Using Machine Learning in ROS 2 by Jeonghwan Kang, Kyounghwan Kim, Donghyun Kwon

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Construction of a Risk Prediction Model for Postoperative Urinary Tract Infection in Women Undergoing Transvaginal Gynecologic Urinary Surgery by Fang Wang, Di Wu, Yixin Jia, Juanjuan Chen

“…The data was and analyzed by two different approaches including logistic regression analysis and Least Absolute Shrinkage and Selection Operator regression (LASSO) regression analysis. …”
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Determinants of banking efficiency in the MENA region: A two-stage DEA-Tobit approach by Soufiane Benbachir

“…This paper addresses the gap in banking efficiency research in the MENA region by evaluating the technical and pure technical efficiency of 59 conventional banks from 11 MENA countries between 2019 and 2023 and identifying the internal and external factors affecting their efficiency. Using a Data Envelopment Analysis, the study evaluates efficiency based on three inputs and two outputs. …”
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