Data mining–based analysis to explore the application of an animal model of diabetic gastroparesis by Hui Xu, Fu-rui Miao, Yu-jun He, Yu-shan Fan

“…Main detection indexes included blood glucose, general condition, gastrointestinal function dynamics, histopathological analysis, immunohistochemistry, Western blotting, etc.ConclusionThere is no recognized modeling method and evaluation standard for diabetic gastroparesis animal models. …”
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Neural Networks vs. Regression: A Comparative Analysis in Medical Data Processing by Minodora ANDOR, Gheorghe Ioan MIHALAŞ

“… Background and Aim: The increasing adoption of artificial intelligence (AI) in medical research offered alternative methods for medical data processing. This study evaluated comparatively the predictive performance of feedforward neural networks (FFNN) regression versus classical statistical regression analysis in estimating the risk of post-COVID-19 type 2 diabetes based on metabolic factors. …”
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Gut Microbiome Diversity and Uric Acid in Serum and Urine by Cecilie Ness, Dmitri Svistounov, Marit D. Solbu, Natalia Petrenya, Neoma Boardman, Kirsti Ytrehus, Trond G. Jenssen, Andrew Holmes, Stephen J. Simpson, Svetlana N. Zykova

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High-Performance Data Acquisition for Fourier Transform Mass Spectrometry by Anton N. Kozhinov, Konstantin O. Nagornov, Yury O. Tsybin

“…By advancing FTMS capabilities, FTMS Boosters not only elevate performance but also extend the operational lifespan of legacy FTMS systems, offering a sustainable and cost-effective path to improved MS functionality. As FTMS technologies advance with an increasing focus on acquiring and processing big data, FTMS Boosters, and other high-performance DAQ systems are set to become indispensable in addressing the growing demands of data-intensive scientific research and applications. …”
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Association between Early Resistive Index Measurement and Early Graft Function and Long-Term Graft Survival after Kidney Transplantation: an Evidence-based Clinical Review by Pande Made Wisnu Tirtayasa, Gede Wirya Kusuma Duarsa, Gerhard Reinaldi Situmorang, I Wayan Yudiana, Kadek Budi Santosa, Anak Agung Gde Oka, Arry Rodjani, Nur Rasyid

“…The Mantzel-Haenzel method was used to analyse pooled risk ratio and 95% confidence interval, while the heterogeneity of the study was calculated through I2 value. Data analysis was performed using Review Manager 5.3. …”
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IN VITRO POPULATION GROWTH OF HUMAN GLIOBLASTOMAS: REAL PATIENTS AND CURVE FITTING by Diego Samuel Rodrigues, Letícia Fernanda Alves, João Frederico da Costa Azevedo Meyer, Moníze Valéria Ramos da Silva, Natália Barreto, Catarina Raposo

“…Indeed, in the field of mathematical oncology, the growth of cell populations over time is typically represented by sigmoidal functions, such as logistic or Gompertz curves and their generalizations. …”
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Association between Early Resistive Index Measurement and Early Graft Function and Long-Term Graft Survival after Kidney Transplantation: an Evidence-based Clinical Review by Pande Made Wisnu Tirtayasa, Gede Wirya Kusuma Duarsa, Gerhard Reinaldi Situmorang, I Wayan Yudiana, Kadek Budi Santosa, Anak Agung Gde Oka, Arry Rodjani, Nur Rasyid

“…The Mantzel-Haenzel method was used to analyse pooled risk ratio and 95% confidence interval, while the heterogeneity of the study was calculated through I2 value. Data analysis was performed using Review Manager 5.3. …”
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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

“…Abstract As data analysis pipelines grow more complex in brain imaging research, understanding how methodological choices affect results is essential for ensuring reproducibility and transparency. …”
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Effects of Competition on Left Prefrontal and Temporal Cortex During Conceptual Comparison of Brand-Name Product Pictures: Analysis of fNIRS Using Tensor Decomposition by Terrence M. Barnhardt, Jasmine Y. Chan, Behnaz Ghoraani, Teresa Wilcox

“…Finally, the convergence of the tensor decomposition and grand averaging approaches on the same set of findings supported tensor decomposition as a viable approach to the analysis of fNIRS data.…”
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Double‐blind, randomized, 8‐week multicenter study of the efficacy and safety of STW 5‐II versus placebo in functional dyspepsia by Bettina Vinson, Careen Fink, Manfred Wargenau, Nicholas J Talley, Gerald Holtmann

“…We evaluated the efficacy and safety of 8 weeks of treatment with the herbal combination product STW 5‐II for patients with functional dyspepsia (FD) meeting Rome II criteria. …”
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Automating monitoring and evaluation data analysis by using an open-source programming language by Nadia Fouché, Melody Mentz-Coetzee

“…Method: A Python library of functions automating ME data analysis procedures was developed. …”
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Intelligent data analysis based on natural language processing technology in educational evaluation by Ruili Zheng

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Energy-Economy Nexus in Emerging Economies: A Dynamic Panel Data Analysis by Gulzar Khan, Sadia Safdar, Azra Khan

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Towards a Conceptual Modeling of Trustworthiness in AI-Based Big Data Analysis by Sebastian Bruchhaus, Alexander Kreibich, Thoralf Reis, Marco X. Bornschlegl, Matthias L. Hemmje

“…This paper introduces a conceptual mathematical framework for evaluating trustworthiness in AI-based big data analysis, emphasizing the critical role trust plays in the adoption and effectiveness of AI systems. …”
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Exploring emotional dimensions in educational data: A neutrosophic sentiment analysis approach by Joffre Paladines Rodríguez, Adrián del Pozo Biscarra, Felix Tamayo

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Comparing New Wireless Sensor Network Protocols through Simulation and Data Analysis by Himanshu Agarwal, Atul Pratap Singh, Ajeet Singh, Amit Kumar, Pratik K. Agrawal, S. Saranya

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Big data processing and analysis platform based on deep neural network model by Sheng Huang

“…In this context, this paper completes the following work: 1) The research status of big data processing and analysis platforms at home and abroad is introduced. 2) Drawing on the modular design idea, the commercial bank big data platform is designed and the functions of each sub-module are introduced. …”
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Topological Data Analysis in the Assessment of Coronary Atherosclerosis: A Comprehensive Narrative Review by Yashbir Singh, ME, PhD, Quincy A. Hathaway, MD, PhD, Colleen Farrelly, MS, Matthew J. Budoff, MD, Bradley Erickson, MD, PhD, Jeremy D. Collins, MD, Michael J. Blaha, MD, Tim Leiner, MD, PhD, Francisco Lopez-Jimenez, MD, MBA, Jennifer Rozenblit, PhD, Deepa Sarkar, PhD, Gunnar Carlsson, PhD

“…We perform a narrative review of the emerging TDA field, discussing its basic principles and advantages over traditional methods, which often struggle to capture the intricate patterns and relationships within coronary plaques. Topological data analysis can evaluate coronary atherosclerosis in novel ways using variations in the cover and filtration functions of the algorithm, highlighting new ways to characterize calcified and noncalcified plaques. …”
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MULTILEVEL MODAL VALUE ANALYSIS FOR INTERPRETING CATEGORICAL K-MEDOIDS CLUSTERS DATA by Rachmad Fitriyanto, Ummi Syafiqoh

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Multifractal Analysis of Geological Data Using a Moving Window Dynamical Approach by Gil Silva, Fernando Pellon de Miranda, Mateus Michelon, Ana Ovídio, Felipe Venturelli, Letícia Moraes, João Ferreira, João Parêdes, Alexandre Cury, Flávio Barbosa

“…Validations for the proposed methodology were performed using controlled artificial data generated from Weierstrass–Mandelbrot functions. …”
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