Assessing cardiovascular disease risk and social determinants of health: A comparative analysis of five risk estimation instruments using data from the Eastern Caribbean Health Out... by Jeremy I Schwartz, Christina Howitt, Sumitha Raman, Sanya Nair, Saria Hassan, Carol Oladele, Ian R Hambleton, Daniel F Sarpong, Oswald P Adams, Rohan G Maharaj, Cruz M Nazario, Maxine Nunez, Marcella Nunez-Smith

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Assessment and recalibration of seventeen lung cancer risk prediction models in approximately one million Chinese population utilising healthcare big data: a retrospective cohort a... by Ziqing Ye, Yexiang Sun, Yueqi Yin, Liya Liu, Miao Cui, Longyao Zhang, Yuantao Hao, David C. Christiani, Hongbo Lin, Peng Shen, Yongyue Wei

“…Summary: Background: A number of lung cancer prediction models have been developed worldwide. However, there have been limited validation studies conducted specifically on Chinese populations. …”
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Open data availability in Croatian local government: Improving the quality of life by Robertina ZDJELAR, Anamarija MUSA, Nikolina Žajdela HRUSTEK

“…The development of Open Data (OD) portals, which display vast amount of public sector data, is one of the means to help creating a new value for the society and economy. …”
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Alloys innovation through machine learning: a statistical literature review by Alireza Valizadeh, Ryoji Sahara, Maaouia Souissi

“…This review systematically analyzes over 200 publications to explore the growing role of data-driven methods and their potential benefits in accelerating alloy development. …”
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Untangling the complex mechanisms associated with Alzheimer's disease in elderly patients using high-throughput RNA sequencing data and next-generation knowledge discovery methods:... by Hind A. Alkhatabi, Peter Natesan Pushparaj

“…Conclusions: This comprehensive analysis of AD in elderly individuals using RNA-seq data and NGKD tools revealed multiple differentially regulated pathways, gene signatures, and potential drugs for dementia treatment. …”
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DATA COMPRESSION USING WAVELET TRANSFORM IN BIOTELEMETRY SYSTEMS by O.E. Bezborodova, A.Yu. Bodin, O.N. Bodin, M.N. Kramm, D.V. Martynov

“…Therefore, the task of developing and researching methods for undistorted compression of medical data is an urgent scientific and applied task, due to the development and improvement of computing technology. …”

Exploring the benefits of participatory action research to a participatory data stewardship community project: the Round ‘Ere case study on data and well-being by Emily S. Rempel, Gianfranco Polizzi, Simeon Yates

“…CRs were purposely recruited to primarily maximize diversity in gender, age, and socio-economic status, and interviewed before training, after training, and after fieldwork. We used thematic analysis to explore benefits and challenges, along with their expectations and experiences, at each stage of the project.ResultsFour main themes emerged from interviews with CRs on their expectations and experiences: (1) the role of CRs' motivation in taking part on their perceptions of project impact, (2) the role and development of confidence in CRs' perceptions of their own success, (3) the importance of community building through an appreciation of diversity, and (4) the value in developing CR agency by putting participatory process at each stage of the project.DiscussionThe findings illustrate that taking a PAR approach to the design of a PDS project around well-being and data shows potential for problematizing datafication through engaging local communities, developing their research skills, confidence and agency, and designing a data system that can empower community voice. …”
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Algorithms Facilitating the Observation of Urban Residential Vacancy Rates: Technologies, Challenges and Breakthroughs by Binglin Liu, Weijia Zeng, Weijiang Liu, Yi Peng, Nini Yao

“…The multi-source data fusion algorithm should not only have the ability of intelligent feature extraction and related analysis, but also deal with the uncertainty and redundancy of data to adapt to the dynamic needs of urban development. …”
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Trends in data literacy, 2018-2023: a review of the literature by Leanne Bowler, Charlie Shaw

“…Analysis. A detailed search strategy was applied to three data bases: SCOPUS, the ACM Digital Library, and the IEEE Xplore, followed by a qualitative analysis using a coding matrix of eight categories. …”
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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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High-Dimensional Projected Clustering for Learner Competency Analysis in Medical Training Programs by Sandhya Harikumar, C. S. Jayamohan Pillai, V. Vani Chithra, Raghu Raman, Mr Kaimal, Kai-Yu Tang, Prema Nedungadi

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Integrating Spatiotemporal and Travel-Related Information for Accurate Urban Passenger Profiling Using GANs by Xiaoqi Duan, Jianbing Yang, Sha Yu, Youliang Tian

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Scientific Data Management Based on a Data Life Cycle Perspective: Using the Institutional Repositories Base of 24 Universities in the United States as an Example by Keyi XIAO, Yingying CHEN

“…This included critical aspects such as developing comprehensive research data management plans, establishing robust data organization services and standardized protocols, providing reliable long-term data storage solutions to ensure continued accessibility, enhancing data sharing policies to foster collaboration, strengthening research data quality control measures to maintain integrity, and developing comprehensive research data management training programs to empower researchers. …”
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Adaptive Data Warehouse as the Technological basis of the banking Ecosystem by E. V. Vasilieva, K. S. Solyanov, T. D. Konevtseva

“…They developed an adaptive banking data warehouse designer in the environments of SAP PowerDesigner, StarUML, PL/SQL Developer. …”
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Do feed-in tariffs unlock green finance? A panel study of banking sector assets and renewable energy consumption across 66 countries around the world by Olena Shcherbakova

“…The analysis finds that banking sector development alone does not lead to increased consumption from RES (coefficient = 0.0011, p = 0.950), suggesting that banks are reluctant to invest in renewables due to the lack of mechanisms to guarantee returns. …”
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Important tool in our rare disease toolbox: hybrid retrospective-prospective natural history studies serve well as external comparators for rare disease studies by Chinenye Ugoji, Julien Heidt, Joan Largent, Emily Bratton, Laura Hester, Sareh Keshavarzi, Stuart Turner, Christina Mack

“…In this paper, we discuss considerations for the design, analysis, and conduct of hybrid NHS intended as ECAs for single-arm studies in clinical development programs for rare diseases.…”
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Demand starter data kit: Selected socio-economic and technical energy system demand modelling data for all 47 counties in KenyaZenodo by Neve Fields, Ariane Millot, Martin Mutembei, Anne Nganga, Pietro Lubello, Leonhard Hofbauer, Mark Howells, Ed Brown

“…Therefore, this article provides data that can be used to create a simple whole energy system demand model for the individual counties in Kenya, acting as a starting point for teaching, capacity building efforts, and for further data collection, model development and scenario analysis to produce county resolution demand projections. …”
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Systematic evaluations of forensic effectiveness and genetic structures of two ethnic groups in Northwest China using a self-developed Multi-InDel panel by Qinglin Liang, Qiong Lan, Qinglin Liu, Xiaolian Wu, Lisiteng Luo, Chunmei Shen, Bofeng Zhu

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Analysis of Solid Waste Management Scenarios in India: A Comparative Case Study of Indore and Varanasi with Special Emphasis on Policy Gaps and Interventions by Deepak Rathore, Ravikant Dubey, Ram Sharan Singh, Amrita Dwivedi

“…A comparison between Indore and Varanasi will reveal the gaps in solid waste management in India's two-tier towns. Comparative data analysis of the solid waste composition, chemical composition, cleaning, collection, transportation, treatment, and disposal facilities will provide insight into waste management shortcomings. …”
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A Systematic Review on the Use of Big Data in Tourism by Jafar Ahangaran, Abbas Sadeghnia

“…On the other hand, the analysis of keywords confirms that these articles are often used in order to predict the tourism demand of a destination and arrive at a prediction model, and in the second step, to examine the conditions of sustainable development of tourist destinations by using big data analysis. …”
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