Mathematical Model for Determining the Degree of Propensity to Be Exposed to Cybercrime by I. V. Karpasyuk, A. I. Karpasyuk

“…Based on statistical data, the level of cyber victimization was calculated in terms of types of cyber fraud, such as phishing, vishing, online shopping fraud, for respondents who can be classified as victims and resistors of the relevant cyber crimes based on a set of personal characteristics.Conclusion. …”
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Morphometric analysis of ventricular indexes and intracranial cerebrospinal fluid spaces in the brain using magnetic resonance imaging healthy in Van cats by Veysel Delibaş, Cemil Göya

“…Abstract Background Ventricular indexes are defined as a numerical marker of ventricular dimensions in domestic mammals. …”
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A Novel Decision-Making Process in the Environment of Generalized Version of Fuzzy Sets for the Selection of Energy Source by Joseph David Madasi, Salma Khan, Nasreen Kausar, Dragan Pamucar, Gezahagne Mulat Addis, Muhammad Gulistan

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IMPLEMENTATION OF K-MEDOIDS AND K-PROTOTYPES CLUSTERING FOR EARLY DETECTION OF HYPERTENSION DISEASE by Hardianti Hafid, Selvi Annisa

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A new auxiliary variables-based estimator for population distribution function under stratified random sampling and non-response by Sohail Ahmad, Hasnain Iftikhar, Moiz Qureshi, Ilyas Khan, Abdoalrahman S. A. Omer, Elías A. Torres Armas, Javier Linkolk López-Gonzales

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PGSFusion streamlines polygenic score construction and epidemiological applications in biobank-scale cohorts by Sheng Yang, Xiangyu Ye, Xiaolong Ji, Zhenghui Li, Min Tian, Peng Huang, Chen Cao

“…However, both the complex statistical estimation procedure and the various data formats of summary statistics and reference panel make the PGS calculation challenging and not easily accessible to researchers with limited statistical and computational backgrounds. …”
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A Method of Improving Oral English Teaching Based on PLS-SEM by Dongxiao Peng

“…Second, the influencing factors are quantified into specific numerical data, and the data are subjected to a series of preprocessing steps. …”
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Navigating India’s path to sustainable development goals: optimization and forecasting approaches by Irfan Ali, Golam Kabir, Ahmad Yusuf Adhami, Nabil Ahmed Khan, Anas Melethil, Mohd Azeem

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Optimizing Transportation Network of Recovering End-of-Life Vehicles by Compromising Program in Polymorphic Uncertain Environment by Jing Zhang, Jingjing Liu, Zhong Wan

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LLM-DSK: A Domain-Specific Semantic Knowledge-Guided Ocean Environment Prediction Method Based on Large Language Models by Ning Song, Caichao Lv, Jie Nie, Min Ye, Enyuan Zhao, Jun Ma, Xiong Liu, Zhiqiang Wei

“…LLM-DSK comprises three core modules: 1) a spatiotemporal feature extraction module that utilizes geographic data (e.g., latitude, longitude, wind fields, and land–sea boundaries) to extract key domain-relevant spatiotemporal features; 2) a semantic encoding module that employs an attention mechanism to align these features with the vocabulary of LLMs, enabling cross-modal alignment between oceanic and natural language domains to enrich semantic representations; and 3) an LLM-based prediction module driven by domain-specific prompts that integrate geographic information and statistical indicators. …”
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Exploring the relationship between blood platelet and other components utilizing count regression: A cross‐sectional study in Bangladesh by Umme Honey, SM Arif Bin Saleh, Md. Sifat Ar Salan, Mohammad Alamgir Kabir, Akher Ali

“…Imbalances lead to issues—low red cells cause fatigue (anemia), high white cells hint at infection, low counts raise infection risks. Using trendy statistical approaches, investigating the complex link between platelet counts and numerous blood components. …”
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ASSESSMENT OF COMPETITIVENESS OF MILK PRODUCTION UNDER EXPORT CONDITIONS by S. T. Toleugaliyeva

“…The aim оf the research is to study the impact of the main factors that contribute to the increase of competitiveness and promotion of milk and dairy products in our country.The study uses quantitative methods of research, ie the method of economic and mathematical modeling using statistical data. Mathematical models are created on the basis of statistical data using numerical methods of research. …”
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Lagrangian Coherent Structure Analysis of Terminal Winds: Three-Dimensionality, Intramodel Variations, and Flight Analyses by Brent Knutson, Wenbo Tang, Pak Wai Chan

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A Detailed Study of ABC-Type Fractal–Fractional Dynamical Model of HIV/AIDS by Mansour A. Abdulwasaa, Esam Y. Salah, Mohammed S. Abdo, Bhausaheb Sontakke, Sahar Ahmed Idris, Mohammed Amood Al-Kamarany

“…First, we collect and analyze statistical data for epidemiological surveillance of HIV/AIDS prevalence in Yemen from 2000 to 2022. …”
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Sharp viscous shock waves for relaxation model with degeneracy by Xu Shufang, Mei Ming, Sheng Wancheng, Wang Zejia

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Monte Carlo Algorithm For Matrices in Solving Systems of Linear Equations, Determinants, Inverse, Eigen Values, and Eigenvectors. by Bamwine, Delik

“…Monte Carlo methods, which are based on statistical sampling, exhibit many attractive properties in dealing with large volumes of datasets, including fast approximated results, memory efficiency, reduced data accesses, natural parallelism, and inherent fault tolerance. …”
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A New Bootstrap Based Algorithm for Hotelling’s T2 Multivariate Control Chart by A. Mostajeran, N. Iranpanah, R. Noorossana

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Simultaneous RIS Adjustment and Transmission Based on Markov Chain Monte Carlo and Simulated Annealing by Ilya Burtakov, Arseny Poyda, Aleksey Kureev, Evgeny Khorov

“…However, these random configurations result in low RIS channel gains during the adjustment process, which hinders data transmission. This paper addresses this issue and proposes a statistical RIS adjustment algorithm using Markov Chain Monte Carlo and Simulated Annealing (MCMC-SA). …”
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Inference on a New Lifetime Distribution under Progressive Type II Censoring for a Parallel-Series Structure by Atef F. Hashem, Salem A. Alyami

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Radiative heat and mass transfer significance through a permeable vertical plate with rotational effects: An artificial approach using the Levenberg–Marquardt algorithm by R. Kavitha, Kavikumar Jacob, Ahmad Haji Zadeh, Nagarajan Deivanayagampillai

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