New discrete memristive hyperchaotic map: modeling, dynamic analysis, and application in image encryption by Fei Yu, Yiya Wu, Xuqi Wang, Ting He, ShanKou Zhang, Jie Jin

“…With the rapid development of information technology, the demand for ensuring data security and privacy protection has become increasingly urgent. …”
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Digital Markets Act: A hindrance to innovation and business development by K. O. Afuwape

“…Additionally, the increased regulatory oversight mandated by the DMA could suppress willingness to take the risks necessary for entrepreneurial achievement, ultimately hindering the development of revolutionary advances. By thoroughly analyzing economic principles, real-world data, and relevant examples, this study clarifies the intricate relationship between regulation, innovation, and business in the digital realm. …”
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Combined analysis of single-cell and bulk transcriptome sequencing data identifies critical glycolysis genes in idiopathic pulmonary arterial hypertension by Xuan Gao, Youli Fan, Guijia Wang, Jiangjiang Xu, Runwei Deng, Jiangwei Song, Binfeng Sun, Yongbing Wang, Zixuan Wu, Ruyi Jia, Jing Huang, Huiyu He, Lei Gao, Yihao Zhang, Na Sun, Bingxiang Wu

“…The ssGSEA method was used to assess the glycolytic activity in each bulk sample within the bulk sequencing data. Differential analysis, weighted gene co-expression network analysis (WGCNA), and protein-protein interaction (PPI) network analysis were conducted to identify key genes associated with glycolysis in IPAH samples. …”
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The associations of physical activity patterns and the triglyceride-glucose index in US adults: a secondary data analysis of NHANES (2007–2018) by JinYe Zhang, YiLin Yang, HaoNan Zheng, BoWen Bai, QianKun Yang, Li Zhang, YuTong Zhao, Jing Luo, Bin Yu

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Analysis of the Japanese gestational diabetes mellitus diagnostic strategy during the coronavirus disease 2019 pandemic using DREAMBee study data by Yoshifumi Kasuga, Kei Miyakoshi, Maki Yokoyama, Noriyuki Iwama, Raishi Ichikawa, Hiroshi Yamashita, Ichiro Yasuhi, Asami Ito, Hirohito Sone, Atsuko Abiko, Shinichi Harashima, Maki Kawasaki, Naoko Arata, Shiori Sato, Yuko Iimura, Masako Waguri, Haruna Kawaguchi, Naoki Masaoka, Yoshiyuki Nakajima, Yuji Hiramatsu, Takashi Sugiyama, DREAMBee Study Gestational Diabetes Mellitus Group

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Progression of biological markers in spinocerebellar ataxia type 3: longitudinal analysis of prospective data from the ESMI cohortResearch in context by Moritz Berger, Hector Garcia-Moreno, Mónica Ferreira, Jeannette Hubener-Schmid, Tamara Schaprian, Philipp Wegner, Tim Elter, Kennet M. Teichmann, Magda M. Santana, Marcus Grobe-Einsler, Demet Oender, Berkan S.C. Koyak, Sarah Bernsen, Luís Pereira de Almeida, Patrick Silva, Joana Afonso Ribeiro, Inês Cunha, Cristina Gonzalez-Robles, Shamsher Khan, Amanda Heslegrave, Henrik Zetterberg, Manuela Lima, Mafalda Raposo, Ana F. Ferreira, João Vasconcelos, Bart P. van de Warrenburg, Judith van Gaalen, Teije H. van Prooije, Jeroen de Vries, Ludger Schols, Olaf Riess, Matthis Synofzik, Dagmar Timmann, Andreas Thieme, Friedrich Erdlenbruch, Jon Infante, Ana L. Pelayo-Negro, Leire Manrique, Kathrin Reetz, Imis Dogan, Gulin Oz, James M. Joers, Khalafalla Bushara, Chiadikaobi Onyike, Michal Povazan, Heike Jacobi, Jeremy D. Schmahmann, Eva-Maria Ratai, Matthias Schmid, Paola Giunti, Thomas Klockgether, Jennifer Faber

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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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Diversity is key: fantasy football dream teams under budget constraints by Josef Gullholm, Jil Klünder, Julie Rowlett, Jonathan Stålberg

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Prioritizing Higher Education Facilities Using TOPSIS Based on Student Preferences by Mutiara Novita Sari, Rahel Saffana Adya, Qurrotul Aini

“…This research aims to prioritize campus facilities for development based on student preferences using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. …”
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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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R&D spillovers from international student flows: a brics analysis by Matheus Dall’agnol, Diogo Ferraz, Naijela da Costa, Herick Fernando Moralles, Daisy Aparecida do Nascimento Rebelatto

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Pengembangan Soal Esai Berbasis Model 4D: Analisis Validitas, Reliabilitas, Daya Pembeda, dan Tingkat Kesukaran pada Evaluasi Pembelajaran by Laminah, Mhmd Habibi

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Poverty, Education, and Decent Work Rates in Central and Eastern EU Countries by Alexandra Ciucu, Vanesa Vargas, Carmen Păuna, Adina-Iuliana Jigani

“…The current study aimed to determine poverty and educational levels along with work conditions within the 11 EU Member States located in Central and Eastern Europe using 2023 Eurostat data. To identify them, two techniques were implemented: cluster analysis and the TOPSIS method. …”
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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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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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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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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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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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Analysis of the most influential factors affecting outcomes of lung transplant recipients: a multivariate prediction model based on UNOS Data by Reza Safdari, Marsa Gholamzadeh, Hamidreza Abtahi, Mehrnaz Asadi Gharabaghi

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Association between the IL1B-511 C>T polymorphism and the risk of hematologic malignancies: data from a meta-analysis by Fabíola Silva Alves-Hanna, Felipe Rodolfo Pereira Silva, Daniele Sá Pereira, Alessandro Luiz Araújo Bentes Leal, Fábio Magalhães-Gama, Allyson Guimarães Costa

“…Thus, we performed a meta-analysis to evaluate the association between IL1B-511C>T polymorphism and the risk of developing hematologic malignancies. …”
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