Holistic Evaluation of the Gut Microbiota through Data Envelopment Analysis: A Cross-Sectional Study by Taizo Matsuki, Sho Nakamura, Minami Nishiyama, Hiroto Narimatsu

“…Objectives: To introduce and evaluate a novel approach using data envelopment analysis (DEA) for assessing gut microbiota efficiency and identifying potential targets for personalized interventions. …”
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A Comparative Analysis of Three Data Fusion Methods and Construction of the Fusion Method Selection Paradigm by Ziqi Liu, Ziqiao Yin, Zhilong Mi, Binghui Guo, Zhiming Zheng

“…Our theoretical framework is expected to solve the problems of computational and resource costs in model construction, improving the scalability and efficiency of data fusion methods.…”
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Patent Analysis of Dental CBCT Machines by Andy Wai Kan Yeung, Andrew Nalley, Kuo Feng Hung, Anne Caroline Oenning, Ray Tanaka

“…Introduction and aims: Cone Beam Computed Tomography (CBCT) has become a crucial imaging tool in modern dentistry. …”
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Parallel complex event processing system based on S4 framework by Hao CHEN, Yu LI, Song-lin HU, Ying LIANG

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Parallel complex event processing system based on S4 framework by Hao CHEN, Yu LI, Song-lin HU, Ying LIANG

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The Role of Simulation Science in Public Health at the Agency for Toxic Substances and Disease Registry: An Overview and Analysis of the Last Decade by Siddhi Desai, Jewell Wilson, Chao Ji, Jason Sautner, Andrew J. Prussia, Eugene Demchuk, M. Moiz Mumtaz, Patricia Ruiz

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Publisher Correction: fNIRS reproducibility varies with data quality, analysis pipelines, and researcher experience by Meryem A. Yücel, Robert Luke, Rickson C. Mesquita, Alexander von Lühmann, David M. A. Mehler, Michael Lührs, Jessica Gemignani, Androu Abdalmalak, Franziska Albrecht, Iara de Almeida Ivo, Christina Artemenko, Kira Ashton, Paweł Augustynowicz, Aahana Bajracharya, Elise Bannier, Beatrix Barth, Laurie Bayet, Jacqueline Behrendt, Hadi Borj Khani, Lenaic Borot, Jordan A. Borrell, Sabrina Brigadoi, Kolby Brink, Chiara Bulgarelli, Emmanuel Caruyer, Hsin-Chin Chen, Christopher Copeland, Isabelle Corouge, Simone Cutini, Renata Di Lorenzo, Thomas Dresler, Adam T. Eggebrecht, Ann-Christine Ehlis, Sinem B. Erdoğan, Danielle Evenblij, Talukdar Raian Ferdous, Victoria Fracalossi, Erika Franzén, Anne Gallagher, Christian Gerloff, Judit Gervain, Noy Goldhamer, Louisa K. Gossé, Ségolène M. R. Guérin, Edgar Guevara, SM Hadi Hosseini, Hamish Innes-Brown, Isabell Int-Veen, Sagi Jaffe-Dax, Nolwenn Jégou, Hiroshi Kawaguchi, Caroline Kelsey, Michaela Kent, Roman Kessler, Nadeen Kherbawy, Franziska Klein, Nofar Kochavi, Matthew Kolisnyk, Yogev Koren, Agnes Kroczek, Alexander Kvist, Chen-Hao Paul Lin, Andreas Löw, Siying Luan, Darren Mao, Giovani G. Martins, Eike Middell, Samuel Montero-Hernandez, Murat Can Mutlu, Sergio L. Novi, Natacha Paquette, Ishara Paranawithana, Yisrael Parmet, Jonathan E. Peelle, Ke Peng, Tommy Peng, João Pereira, Paola Pinti, Luca Pollonini, Ali Rahimpour Jounghani, Vanessa Reindl, Wiebke Ringels, Betti Schopp, Alina Schulte, Martin Schulte-Rüther, Ari Segel, Tirdad Seifi Ala, Maureen J. Shader, Hadas Shavit, Arefeh Sherafati, Mojtaba Soltanlou, Bettina Sorger, Emma Speh, Kevin D. Stubbs, Katharina Stute, Eileen F. Sullivan, Sungho Tak, Zeus Tipado, Julie Tremblay, Homa Vahidi, Maaike Van Eeckhoutte, Phetsamone Vannasing, Gregoire Vergotte, Marion A. Vincent, Eileen Weiss, Dalin Yang, Gülnaz Yükselen, Dariusz Zapała, Vit Zemanek

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Teaching Modeling in Introductory Statistics: A Comparison of Formula and Tidyverse Syntaxes by Amelia McNamara

“…Pre- and post-surveys show minimal differences between labs, with students reporting a positive experience regardless of section. Analysis of YouTube and RStudio Cloud data shows interesting distinctions. …”
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Applicability of IT Systems in Business in the Context of the Digitalization of Economic Processes by Ioana Lazarescu, Gabriela Gheorghe, Alexandrina Brinza

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Development Path and Mechanism of Cultural Tourism Integration Based on Deep Learning Mobile Big Data Analysis by Renfei Zhang, Yang Bai

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Design of an Efficient Model for Psychological Disease Analysis and Prediction Using Machine Learning and Genomic Data Samples by Alparthi Kumuda, Saroj Kumar Panigrahy

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Integrative analysis of miRNA expression data reveals a minimal signature for tumour cells classification by Sabrina Napoletano, David Dannhauser, Paolo Antonio Netti, Filippo Causa

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Towards nuanced and critical data analysis: an exploratory investigation into complexities of Goodreads reviews for children's books by Yuerong Hu, Chen Ling

“…In addition to gaining insights into reviews on children’s books, this study also demonstrates the importance of exploratory data analysis in gaining a more nuanced understanding of cultural datasets online, which is essential for advancing insightful and critical data analysis. …”
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From Data to Deployment: A Comprehensive Analysis of Risks in Large Language Model Research and Development by Tianshu Zhang, Ruidan Su, Anli Zhong, Minwei Fang, Yu-dong Zhang

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Collision risk and mobility analysis of novice drivers on a highway based on real world data by Mehmet Rizelioğlu

“…Safety analysis using the Collision Potential Index (CPI) reveal a 35% increase in CPI with only 10% novice drivers, while mobility analysis indicates a 14% average speed decrease with 50% ND traffic composition. …”
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Data-driven models for significant wave height forecasting: Comparative analysis of machine learning techniques by Ahmet Durap

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Multi‐Omics Factor Analysis—a framework for unsupervised integration of multi‐omics data sets by Ricard Argelaguet, Britta Velten, Damien Arnol, Sascha Dietrich, Thorsten Zenz, John C Marioni, Florian Buettner, Wolfgang Huber, Oliver Stegle

“…However, methods for the unsupervised integration of the resulting heterogeneous data sets are lacking. We present Multi‐Omics Factor Analysis (MOFA), a computational method for discovering the principal sources of variation in multi‐omics data sets. …”
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Integration Analysis of Three Omics Data Using Penalized Regression Methods: An Application to Bladder Cancer. by Silvia Pineda, Francisco X Real, Manolis Kogevinas, Alfredo Carrato, Stephen J Chanock, Núria Malats, Kristel Van Steen

“…We further support our results with a biological interpretation based on an enrichment analysis. The approach we propose allows reducing computational time and is flexible and easy to implement when analyzing several types of omics data. …”
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Ethical considerations and robustness of artificial neural networks in medical image analysis under data corruption by Michael Okunev, Doron Handelman, Amir Handelman

“…In this work, we investigate the combination of several key parameters on the performance of artificial neural networks (ANNs) used for medical image analysis in the presence of data corruption or errors. …”
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Measuring Carbon Monoxide With TROPOMI: First Results and a Comparison With ECMWF‐IFS Analysis Data by T. Borsdorff, J. Aan de Brugh, H. Hu, I. Aben, O. Hasekamp, J. Landgraf

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