AI in Medical Questionnaires: Innovations, Diagnosis, and Implications by Xuexing Luo, Yiyuan Li, Jing Xu, Zhong Zheng, Fangtian Ying, Guanghui Huang

“…Most of the studies (10/14, 71%) were rated as being of moderate methodological quality, with major limitations including lack of a control group, incomplete follow-up data, and inadequate validation systems. In summary, the integrated application of AI in medical questionnaires has significant potential to improve diagnostic efficiency, accelerate scale development, and promote early intervention. …”
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The Implications of Instagram Platform for Arabic Vocabulary Acquisition by Rahmah Fadhilah Agustina, Destia Harsita, Ully Shifa Chairani

“…Of the various social media that are popular among millennials now, Instagram is an application that can increase Arabic vocabulary. The purpose of this study is to analyze and describe the implications of the Instagram platform for acquiring Arabic vocabulary. …”
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Pathway analyses implicate glial cells in schizophrenia. by Laramie E Duncan, Peter A Holmans, Phil H Lee, Colm T O'Dushlaine, Andrew W Kirby, Jordan W Smoller, Dost Öngür, Bruce M Cohen

“…To determine the robustness of associations, secondary analyses were performed with: ALIGATOR, INRICH, and Set Screen. Data from the Psychiatric Genomics Consortium (PGC) were used for all analyses. …”
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Comparative analysis of selected aspects of web application architectures by Łukasz Krzysztoń, Konrad Łatwiński, Małgorzata Plechawska-Wójcik

“…The article presents a comparative analysis of two web application architectures: microservices and modular monoliths. …”
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Analysis of Real-Time Applications Feasibility through Simulation by S. N. Baranov, V. V. Nikiforov

“…The overall structure of a simulation tool for estimation of the task response time (and therefore, application feasibility) is described, which provides more exact data compared to the known analytical methods where they are applicable. …”
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Safety of Drinking Water from Primary Water Sources and Implications for the General Public in Uganda by Keneth Iceland, Kasozi, Sarah, Namubiru, Roland, Kamugisha, Ejike, Daniel Eze, Fred, Ssempijja, Alfred, Omachonu Okpanachi, Hellen, Wambui Kinyi, Jovile Kasande, Atusiimirwe, Dickson Stuart, Tayebwa, Joy, Suubo, Edgar Mario, Fernandez, Nathan, Nshakira, Andrew, Tamale

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Constructing Efficient Mesh-Based Global Grid Systems with Reduced Distortions by Lakin Wecker, John Hall, Faramarz F. Samavati

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Breastfeeding rates in Israel and their health policy implications by Deena R. Zimmerman, Nati Brooks, Janice Wasser, Linoy Vaknin-Alon, Tunie Dweck, Sharon Alroy-Preis

“…Abstract Background Monitoring breastfeeding rates has important health policy implications, as breastfeeding has significant positive impacts on maternal and child health and healthcare costs. …”
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Sexuality and reproduction: implications in the process of healthy adolescence by Adelita Campos Araújo, Valeria Lerch Lunardi, Rosemary Silva da Silveira, Maira Buss Thofehrn, Adrize Rutz Porto, Deisi Cardoso Soares

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Social and Economic Implications for the Smart Grids of the Future by Wadim Strielkowski

“…The paper employs the data from the Smart Metering Electricity Customer Behaviour Trials conducted by the Commission for Energy Regulation and kindly provided by the Irish Social Science Data Archive (ISSDA) to test the consumers’ attitude toward smart meters and adaptive energy tariffs. …”
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Typology and Modeling of Material and Natural Elements in the Qur'an and Their Educational-Pedagogical Implications for Specialized Courses by Mahdiyeh Keshani, Abazar Kafimosavi

“…The present study aims to identify the types of natural elements addressed in specialized courses from the perspective of the Qur'an, to derive a descriptive model for them, and to explore their related educational-pedagogical implications for specialized curricula. Given its multidimensional nature, this research employs a combination of qualitative methods for data collection, analysis, and coding. …”
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Marketing Implications of Information Society Privacy Concerns by Gheorghe ORZAN, Călin VEGHEŞ, Cătălin SILVESTRU, Mihai ORZAN, Ramona BERE

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A Data-Driven Method for Determining DRASTIC Weights to Assess Groundwater Vulnerability to Nitrate: Application in the Lake Baiyangdian Watershed, North China Plain by Xianglong Hou, Liqin Peng, Yuan Zhang, Yan Zhang, Yunxia Wang, Wenzhao Feng, Hui Yang

“…Therefore, the determination of rating scores and weights of parameters has become the main difficulty in DRASTIC applications. In this paper, a new data-driven weighting method based on Monte Carlo or genetic algorithm was developed. …”
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A Data-Driven Strategy for Long-Term Agrarian Sustainability using the Application of Machine Learning Algorithms to Predictive Models for Pest and Disease Management by Almusawi Muntather, Ameer S. Abdul, Lalitha Yaragudipati Sri

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An explainable web application based on machine learning for predicting fragility fracture in people living with HIV: data from Beijing Ditan Hospital, China by Bo Liu, Bo Liu, Qiang Zhang, Qiang Zhang, Xin Li, Xin Li

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Proposal for the Application of Fractional Operators in Polynomial Regression Models to Enhance the Determination Coefficient <i>R</i>² on Unseen Data by Anthony Torres-Hernandez, Rafael Ramirez-Melendez, Fernando Brambila-Paz

“…The methodology for constructing these fractional regression models is presented along with examples applicable to both Riemann–Liouville and Caputo fractional operators, where some results show that regions with initially negative or near-zero <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> values exhibit remarkable improvements after the application of the fractional operator, with absolute relative increases exceeding <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>800</mn><mo>%</mo></mrow></semantics></math></inline-formula> on unseen data. …”
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Probabilistic Uncertain Linguistic VIKOR Method for Teaching Reform Plan Evaluation for the Core Course “Big Data Technology and Applications” in the Digital Economy Major by Wenshuai Wu

“…The reform of the teaching plan for the core course “big data technology and applications” in the digital economy major has become a globally recognized challenge. …”
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Ensemble reconstruction of missing satellite data using a denoising diffusion model: application to chlorophyll <i>a</i> concentration in the Black Sea by A. Barth, J. Brajard, A. Alvera-Azcárate, B. Mohamed, C. Troupin, J.-M. Beckers

“…Different methods have been proposed in the literature to reconstruct missing data in satellite observations. For many applications of satellite observations, it has been increasingly important to accurately reflect the underlying uncertainty of the reconstructed observations. …”
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A novel divergence measure in Dempster–Shafer evidence theory based on pignistic probability transform and its application in multi-sensor data fusion by Shijun Xu, Yi Hou, Xinpu Deng, Peibo Chen, Kewei Ouyang, Ye Zhang

“…Dempster–Shafer (D–S) evidence theory is more and more extensively applied in multi-sensor data fusion. However, it is still an open issue that how to effectively combine highly conflicting evidence in D–S evidence theory. …”
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3D IntelliGenes: AI/ML application using multi-omics data for biomarker discovery and disease prediction with multi-dimensional visualization by Rishabh Narayanan, Elizabeth Peker, William DeGroat, Dinesh Mendhe, Saman Zeeshan, Zeeshan Ahmed

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