Detection and Spatiotemporal Distribution Analysis of Vertically Developing Convective Clouds over the Tibetan Plateau and East Asia Using GEO-KOMPSAT-2A Observations by Haokai Kang, Hongqing Wang, Qiong Wu, Yan Zhang

“…This approach achieved pixel-level VDCC detection at 10 min intervals across diurnal cycles, enabling comprehensive statistical analysis. Based on this technical foundation, the most important finding in the study was the distinct convective spatiotemporal distribution over the TP and East Asia (EA) by analyzing VDCC detection data in three summers (2021–2023). …”
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Analysis and Application Review of User Behavior Trajectory Based on the Location Information by Kang Chen, Xiaoyu Huang, Aibao Wang, Caixia Tao, Yinghui Guan, Lei Li

“…With the rapid development of spatial data collection technology in recent years，many efforts have been devoted to the research on trajectory based user behavior analysis and its applications，due to their academic interests；they also show promising business opportunities.From the application aspect，in principle，current issues in trajectory based user behavior analysis can be classified into two major categories：the intelligent transportation applications and the user behavior based applications.The state-of-the-art progress of these categories were reviewed.For each category，its main focus and related achievements were discussed.What’s more，the main technical characteristics of the means used were also summarized in current studies.…”
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Characteristics and influencing factors of daily population flow in the Wuhan Metropolitan Region based on mobile signaling data by DENG Huilin, LIN Sainan

“…From the perspective of districts and counties scale, it is of great significance to accurately grasp the micro-pattern and internal mechanism of population flow in the Wuhan Metropolitan Region for promoting regional integration and realizing high-quality regional development. [Methods] Taking the Wuhan Metropolitan Region as the research object and based on the mobile signaling big data, point of interest (POI) data and social and economic data in November 2020, the social network analysis method and quadratic assignment procedure (QAP) regression model were applied to analyze the temporal and spatial characteristics of daily population flow in the Wuhan Metropolitan Region at the districts and counties scale. …”
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Software analysis of scientific texts: comparative study of distributed computing frameworks by Serik Altynbek, Gabit Shuitenov, Madi Muratbekov, Alibek Barlybayev

“…Conversely, Apache Hadoop has lower performance, mainly using disc-based data processing. Importantly, Apache Flink and Apache Spark support several programming languages, such as Java, Scala, and Python, providing developers with flexibility. …”
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The Role of Macroeconomic Stability in Current Account Balances by Murat Çetrez, Yasin Barış Altaylıgil

“…The macroeconomic stability is represented by an index created with the countries’ inflation rate (CPI), growth rate, unemployment rate, and fiscal balance data. It is found that macroeconomic stability is one of the important determinants of current account balances like institutional quality and financial development. …”
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Analyzing the Strelitzia Juncea Cellulosic Fibers Mechanical Properties’ Experimental Data Using Various Statistical Methods by Soumia Teyar, Hassina Gheribi, Messaouda Boumaaza, Ahmed Belaadi, Boon Xian Chai, Mahmood M.S. Abdullah, Ibrahim M.H. Alshaikh, Amar Al-Khawlani, Djamel Ghernaout

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Enhancing accuracy in modelling highly multicollinear data using alternative shrinkage parameters for ridge regression methods by Nadeem Akhtar, Muteb Faraj Alharthi

“…We also apply these estimators to a real-world dataset to demonstrate their practical effectiveness, thereby showcasing their applicability in real-life data analysis. The real-world application further validates their practical utility for accurate prediction and model stability in complex scenarios in which the CARE3 emerged as the best-performing shrinkage estimator.…”
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Influence of Health Expenditure on COVID-19 Contraction: Theoretical and Empirical Analysis by Alina Vysochyna, Agnieszka Jakubowska

“…The aim of this work is to identify theoretical (based on bibliometric analysis) and empirical (based on panel data regression modelling) patterns of the impact of health care expenditure on the effectiveness of the COVID-19 combating. …”
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Network Design for Efficient Video Data Transmission With Real-Time Traffic Constraints in Networked Control Systems by Moustafa M. Awad, Tarek Refaat, Ramez Daoud, Hany M. Elsayed, Hassanein H. Amer

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Enhancing Psychological Well-Being Assessment Through Data Mining: A Case Study from Thailand by Asamaporn Treearpornwong, Thiyaporn Kantathanawat, Mai Charoentham, Paitoon Pimdee, Aukkapong Sukkamart

“…This study examines the psychological well-being (PWB) of lower secondary school students in Bangkok’s Secondary Educational Service Area Offices (SESAO) 1 and 2, using data mining techniques to analyze key influencing factors and develop a culturally adapted PWB questionnaire. …”
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Burst Localisation in Water Pressurised Pipelines Combining Numerical Data Generation and ANN Transient Signal Processing by Andrea Menapace, Maurizio Tavelli, Daniele Dalla Torre, Maurizio Righetti

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Integrating structured and unstructured data for livestock price forecasting: a sustainability study from South Korea by Yifan Zhu, Yifan Zhu, Yifan Zhu, Tserenpurev Chuluunsaikhan, Jong-Hyeok Choi, Aziz Nasridinov

“…To address these challenges, we propose the Sentiment Analysis and Seasonal Decomposition (SASD) framework, a novel approach to enhance livestock price forecasting by integrating sentiment analysis of news data with seasonal decomposition of historical price trends. …”
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Sales Segmentation Analysis of Tobacco Products Using the K-Means Clustering Method by Yance Sonatha, Aldo Erianda, Redhatul Fitri

“…These clustering results support stock management, marketing strategies, and data-driven decision-making. A web-based system was developed, providing real-time monitoring of analysis results, which distinguishes this study from existing solutions by enabling store management to promptly respond to sales trends. …”
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Qualitative phase space reconstruction analysis of supply-chain inventor time series by Chenxi Shao, Lizhong Wang, Lipeng Xiao, Jinliang Wu

“…Using historic suppliers' demand data, we firstly applied the phase space analysis method and then used qualitative analysis to improve the complex system's performance. …”
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Driving heterogeneity identification using machine learning: A review and framework for analysis by Xue Yao, Simeon C. Calvert, Serge P. Hoogendoorn

“…This paper provides a comprehensive reference for researchers and practitioners to understand driving heterogeneity, supporting the development of data-driven solutions for improving traffic management and road safety.…”
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Cardiovascular toxicity of tisagenlecleucel in children and adolescents: analysis of spontaneous reports submitted to FAERS by Ganggang Wang, Lin Su, Yanjun Liu, Xiaohan Yang, Yi Li, Qi Mei, Qi Mei, Wen Gao

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Development and Validation of Predictive Models for Non-Adherence to Antihypertensive Medication by Cristian Daniel Marineci, Andrei Valeanu, Cornel Chiriță, Simona Negreș, Claudiu Stoicescu, Valentin Chioncel

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Analysis of Changes in the Burden of Nutritional Deficiencies in China, the G20, and Globally From 1990 to 2021 Based on the Global Burden of Disease 2021 Data by Lin Ma, Xufei Zhao, Rongqiang Zhang

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Research of indicators influencing the development of a bus manufacturing enterprise (using the example of PJSC NEFAZ) by N. A. Bogdanova, T. V. Kukharova, M. Yu. Napalkin

“…The article has developed a forecast of the volume of bus production for 2024-2025 based on data from the last 10 years. …”
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Identification of students' needs for multimedia development in craft and entrepreneurial topic: information technology-assisted learning by Mochamad Kamil Budiarto

“…Quantitative descriptive is the research approach used. Data collection techniques using a needs analysis questionnaire and analyzed quantitatively using statistics to find out the means and percentage of responses from the sample. …”
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