Predicting PV Severity: A Cross-Sectional Study Using Machine Learning Methods and Multifactorial Data Analysis From a High Prevalence Region by Soraiya Ebrahimpour-Koujan, Anahita Najafi, Rahil Salari-Baghoonabad, Kamran Balighi, Maryam Daneshpazhooh

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Gender integration of agricultural innovation: implications for the genetically modified crop product development pipeline by Elizabeth Katz

“…We conclude with a number of gender integration recommendations for GM product developers: improving gender data collection and analysis to inform crop innovation efforts, investing in staffing and training of scientific teams to enhance gender expertise, and increasing accountability of product development teams with gender-intentional monitoring and evaluation systems.…”
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Current trends and prospects for the development of research in hydroabrasive cutting technology in mining and general engineering by A.М. Makhno

“…The article conducts a bibliometric analysis of waterjet cutting research using data from the scientometric databases Scopus and Web of Science (WoS). …”
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Environmental sustainability assessment of gasoline transportation in Tehran based on per capita carbon footprint and future scenario analysis by Reza Babaei, Behzad Noruzi, Delaram Garshasbi, Pourya Pirmoradi

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Research on the application of network security defence in database security services based on deep learning integrated with big data analytics by Feilu Hang, Linjiang Xie, Zhenhong Zhang, Wei Guo, Hanruo Li

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Seismic Domain Identification Algorithm Using Fuzzy Logic Methods With Combined Geological and Geomorphological Data for the Case of Sakhalin Island by Sobisevich Aleksey, Steblov G. M., Agibalov A. O., Aleshin Igor, Balashov G. R., Kondratov A. D., Makeev V. M., Perederin V. P., Perederin F. V., Sentsov A., Kholodkov Kirill I.

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Analysis of the public catering market in the Penza region by E. V. Kuznetsova, I. A. Strekalovsky

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Machine learning for prediction of Helicobacter pylori infection based on basic health examination data in adults: a retrospective study by Qiaoli Wang, Tao Liang, Yuexi Li, Peng Zhou, Xiaoqin Liu

“…ObjectiveThis study aimed to investigate the feasibility of developing machine learning models for non-invasive prediction of Helicobacter pylori (H pylori) infection using routinely collected adult health screening data, including demographic characteristics and clinical biomarkers, to establish a potential decision-support tool for clinical practice.MethodsThe data was sourced from the adult health examination records within the health management centers of the hospital. …”
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Development of Hybrid Neutron Dynamics Algorithm Based on Transient Fission Matrix Combined Method by LI Yuehang, HE Donghao, LIU Xiaojing, PAN Qingquan

Developing and Implementing an Artificial Intelligence (AI)-Driven System For Electricity Theft Detection by Nwamaka Georgenia Ezeji, Kingsley Ifeanyi Chibueze, Nnenna Harmony Nwobodo-Nzeribe

“…Methodology used are data collection, data analysis, feature selection with Chi-Square, feature transformation with Principal Component Analysis (PCA), Support Vector Machine (SVM) and model for electricity theft detection.   …”
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Assessment of the Development of the Social Infrastructure of Russian Regions and its Impact on Demographic Processes by R. V. Fattakhov, M. M. Nizamutdinov, V. V. Oreshnikov

“…The research methods follow from assessing particular parameters of social infrastructure development, and Rosstat statistical data for 2010–2018, as well as data by the Ministry of Finance of the Russian Federation. …”
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Revolutionizing Nursing and Midwifery Informatics Curriculum Evaluation in Ghana: A Data-Driven Machine Learning Approach by Iven Aabaah, Japheth Kodua Wiredu, Bakaweri Emmanuel Batowise, Nelson Abuba Seidu

“…This research assessed NMI educational programs in Ghana using machine learning techniques to analyze key factors influencing student performance, engagement, and satisfaction. Data was gathered from 1,500 students across C.K. …”
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Recalculation of Manufacturing Industry Production Function with Trade Openness and Human Capital: Multi-Dimensional Panel Data Application by Ergün Aktürk, Yusuf Akan, Sena Gültekin

“…For this purpose, multidimensional panel data analysis was used and the Cobb-Douglas production function was calculated. …”
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Application of Formal Concept Analysis and Clustering Algorithms to Analyze Customer Segments by I Gede Bintang Arya Budaya, I Komang Dharmendra, Evi Triandini

“…The complexity of customer data makes manual analysis of the customer segments difficult, so applying machine learning to segment the customer can be the solution. …”
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Analysis of fetal renal cortex development: Cortical maturation index as a new potential guide in fetal renal cortex assessment by Andrejić-Višnjić Bojana, Petrović Ivan, Balenović Ana, Milosavljević Isidora, Petković Jovana, Trivunić-Dajko Sandra, Bosanac Milana, Jeremić Dimitrije, Šunjević Milena

“…To date, most of the scientific attention has been aimed at the morphometric analysis of the nephrogenic zone (NZ) of the fetal renal cortex, while the quantification and analysis of the maturation zone (MZ) and other indicators of renal maturity were missing. …”
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An Innovative Analysis of Time Series-Based Detection Models for Improved Cancer Detection in Modern Healthcare Environments by Uma Shankari Srinivasan, Venkat Pavithra, Kaliappan Sutha, Sridevi Ramachandiran, Nallathambi Indumathi

“…Time series analysis is a mathematical method used to analyze trends in data over multiple periods. …”
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Harnessing Multi-Modal Synergy: A Systematic Framework for Disaster Loss Consistency Analysis and Emergency Response by Siqing Shan, Jingyu Su, Junze Li, Yinong Li, Zhongbao Zhou

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Critical Fluctuations as an Early Warning Signal of Sports Injuries? A Proof of Concept Using Football Monitoring Data by Niklas D. Neumann, Jur J. Brauers, Nico W. van Yperen, Mees van der Linde, Koen A. P. M. Lemmink, Michel S. Brink, Fred Hasselman, Ruud J. R. den Hartigh

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Prenatal WIC Participation Is Associated with Gestational Weight Gain: A Secondary Analysis of United States Birth Records by Susana L Matias, Caitlin D French

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TEC 21 Model and Critical Thinking: An NCM-based Neutrosophic Analysis in Higher Education by Mohd Anas Wajid, Claudia Camacho-Zuñiga, Florentin Smarandache, Hugo Terashima-Marin, Mohammad Saif Wajid, Mohammad Kaif Wajid

“…We have also compared neutrosophic cognitive maps with used earlier fuzzy cognitive maps to show their effectiveness in this regard. Overall system developed using NCM gives a better analysis of educational models like TEC21. …”
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