Role of cardiac magnetic resonance imaging in assessing the risk of various myocardial remodeling types in left ventricular noncompaction: genetic analysis data by E. A. Mershina, D. A. Filatova, R. P. Myasnikov, O. V. Kulikova, A. N. Meshkov, A. V. Kiseleva, V. E. Sinitsyn, M. S. Kharlap

“…The combination of cardiac MRI data and genetic analysis improves the morphological and functional stratification of patients with LVNC.…”
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Integrating Humidity‐Resistant and Colorimetric COF‐on‐MOF Sensors with Artificial Intelligence Assisted Data Analysis for Visualization of Volatile Organic Compounds Sensing by Qin Ouyang, Yanna Rong, Gaofan Xia, Quansheng Chen, Yujie Ma, Zhonghua Liu

“…Herein, a strategy is reported for the direct visualization of VOCs sensing by mimicking human olfactory function and integrating colorimetric COF‐on‐MOF sensors with artificial intelligence (AI)‐assisted data analysis techniques. The Dye@Zeolitic Imidazolate Framework@Covalent Organic Framework (Dye@ZIF‐8@COF) sensor takes advantage of the highly porous structure of MOF core and hydrophobic nature of the COF shell, enabling highly sensitive colorimetric sensing of trace number of VOCs. …”
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An Interpretable Machine Learning-Based Hurdle Model for Zero-Inflated Road Crash Frequency Data Analysis: Real-World Assessment and Validation by Moataz Bellah Ben Khedher, Dukgeun Yun

“…These findings have significant implications for traffic safety research and policymaking, offering stakeholders a more accurate and interpretable tool for crash data analysis to develop targeted safety interventions.…”
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Advancing Early Detection of Major Depressive Disorder Using Multisite Functional Magnetic Resonance Imaging Data: Comparative Analysis of AI Models by Masab Mansoor, Kashif Ansari

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A PRELIMINARY STUDY OF SENTIMENT ANALYSIS ON COVID-19 NEWS: LESSON LEARNED FROM DATA ACQUISITION, PRE-PROCESSING, AND DESCRIPTIVE ANALYTICS by Rahmatin Nur Amalia, Kusman Sadik, Khairil Anwar Notodiputro

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Enhancing Customer Segmentation Through Factor Analysis of Mixed Data (FAMD)-Based Approach Using K-Means and Hierarchical Clustering Algorithms by Chukwutem Pinic Ufeli, Mian Usman Sattar, Raza Hasan, Salman Mahmood

“…This study addresses this limitation by introducing a novel application of Factor Analysis of Mixed Data (FAMD) for dimensionality reduction, integrated with K-means and Agglomerative Clustering for robust customer segmentation. …”
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Analysis of the Effect of Energy Consumption on Current Account Deficit Using Panel Data: Evidence from the Organization of the Black Sea Economic Cooperation by Emre Kılıç, Ersin Yavuz, Şevket Pazarcı, Alican Umut

“…This study examines the relationship between current account deficit and energy consumption among countries in the Organization of the Black Sea Economic Cooperation (BSEC), with total energy consumption data as an independent variable. Since data for BSEC countries are only available up to 2014, 1992–2014 is the sample period examined. …”
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Comparative analysis of typical variability and relationship between the dimensional characteristics of the sella turcica and the pituitary gland according to magnetic resonance im... by O.Yu. Aleshkina, A.A. Devyatkin, T.S. Bikbaeva, I.A. Polkovova, N.H. Kuliyev

“…The dimensional characteristics of the sella turcica and pituitary gland were studied using the digital craniometry method, and a statistical analysis of the data obtained was carried out. Results. …”

Burden of Maternal and Neonatal Disorser in Nepal from 1990 to 2019; Analysis of Data from Global Burden of Disease Study: An Observational Study by Pramila Rai, Ilana N. Ackerman, Denise A. O’Connor, Ganesh Dangal, Rachelle Buchbinder

“…To improve health and achieve the Sustainable Development Goals of reducing maternal and newborn mortality by 2030, Nepal needs to focus on addressing high-burden maternal and neonatal disorders. …”
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Identifying risk factors for surgical site infections following posterior cervical laminectomy: a comprehensive analysis using ACS NSQIP data by Fatima Abbas, Fatima Nasser, Jinane Makki, Bassem Awada, Hani Dimassi

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Challenges in detecting and predicting adverse drug events via distributed analysis of electronic health record data from German university hospitals. by Anna Maria Wermund, Torsten Thalheim, André Medek, Florian Schmidt, Thomas Peschel, Alexander Strübing, Daniel Neumann, André Scherag, Markus Loeffler, Miriam Kesselmeier, Ulrich Jaehde, POLAR_MI Consortium

“…This approach consisted of a local statistical data analysis at ten participating centres, followed by a mixed-effects meta-analysis. …”
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Integrated analysis of single-cell RNA sequencing and bulk transcriptome data identifies a pyroptosis-associated diagnostic model for Parkinson’s disease by Lin Wang, Yidan Qin, Jia Song, Jing Xu, Wei Quan, Hang Su, Huibin Zeng, Jian Zhang, Jia Li, Jiajun Chen

“…Integration of scRNA-seq datasets with weighted gene co-expression network analysis (WGCNA) allowed extraction of pyroptosis-associated differentially expressed genes (PDEGs). …”
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Ethnicity and anthropometric deficits in children: A cross-sectional analysis of national survey data from 18 countries in sub-Saharan Africa. by Lucy S Tusting, Swapnil Mishra, Harry S Gibson, Steven W Lindsay, Daniel J Weiss, Seth Flaxman, Samir Bhatt

“…However, few studies have assessed how ethnicity is associated with anthropometric deficits across SSA. Data were extracted from 37 georeferenced Demographic and Health Surveys carried out during 2006-2019 across SSA that recorded anthropometric data for children aged <5 years. …”
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Transcriptome Data Combined With Mendelian Randomization Analysis Identifies Key Genes Associated With Mitochondria and Programmed Cell Death in Intervertebral Disc Degeneration by Hongfei Nie, Xiao Hu, Jiaxiao Wang, Jia Wang, Xiaoqian Yu, Jun Li

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Risk assessment and hierarchical classification of foodborne disease epidemics during major events in Beijing: an empirical study based on surveillance data analysis by Jinru JIANG, Yangbo WU, Tongyu WANG, Chao WANG, Yanlin NIU, Di WANG, Liping LI, Qian CHEN, Yao ZHAO, Xiaochen MA

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Analysis of the functional state of the hip joints before total hip replacement in patients with ankylosing spondylitis: Data from a retrospective study by A. O. Dubinin, A. E. Khramov, T. V. Dubinina, E. V. Ilinykh, E. I. Byalik

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Atherogenic Index of Plasma mediates the association between Life’s Crucial 9 with overactive bladder: a secondary data analysis from NHANES by Hongyang Gong, Hongyang Gong, Xiaomei Lin, Shaoqun Huang

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Prognostic significance of right ventricular dysfunction in heart failure with preserved ejection fraction: a meta-analysis of reconstructed time-to-event data by Roozbeh Narimani-Javid, Mehrdad Mahalleh, Kiyarash Behboodi, Kasra Izadpanahi, Alireza Arzhangzadeh, Reza Nikfar, Seyed Ali Hosseini, Ehsan Amini-Salehi, Sasan Shafiei, Hamed Vahidi, Kaveh Hosseini, Hamidreza Soleimani

“…The one-year landmark analysis revealed that the majority of the event-free survival disparity between patients with RVD and those without arises from the first year after an RVD diagnosis. …”
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Pre-hospital assessment of trauma associated severe hemorrhage (phTASH) – analysis of TraumaRegister DGU® data from 2015-2021 by Christoph Jänig, Willi Schmidbauer, Erwin Kollig, Tobias Gruebl, Rolf Lefering, Lisa Hackenberg, Daniel C. Schroeder, Dan Bieler, Committee on Emergency Medicine, Intensive Care, Trauma Management (Sektion NIS) of the German Trauma Society (DGU)

“…However, both scores were validated with in-hospital data that do not correspond to the characteristics of the European trauma population. …”
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Maternal body mass index, gestational weight gain, and the risk of overweight and obesity across childhood: An individual participant data meta-analysis. by Ellis Voerman, Susana Santos, Bernadeta Patro Golab, Pilar Amiano, Ferran Ballester, Henrique Barros, Anna Bergström, Marie-Aline Charles, Leda Chatzi, Cécile Chevrier, George P Chrousos, Eva Corpeleijn, Nathalie Costet, Sarah Crozier, Graham Devereux, Merete Eggesbø, Sandra Ekström, Maria Pia Fantini, Sara Farchi, Francesco Forastiere, Vagelis Georgiu, Keith M Godfrey, Davide Gori, Veit Grote, Wojciech Hanke, Irva Hertz-Picciotto, Barbara Heude, Daniel Hryhorczuk, Rae-Chi Huang, Hazel Inskip, Nina Iszatt, Anne M Karvonen, Louise C Kenny, Berthold Koletzko, Leanne K Küpers, Hanna Lagström, Irina Lehmann, Per Magnus, Renata Majewska, Johanna Mäkelä, Yannis Manios, Fionnuala M McAuliffe, Sheila W McDonald, John Mehegan, Monique Mommers, Camilla S Morgen, Trevor A Mori, George Moschonis, Deirdre Murray, Carol Ní Chaoimh, Ellen A Nohr, Anne-Marie Nybo Andersen, Emily Oken, Adriëtte J J M Oostvogels, Agnieszka Pac, Eleni Papadopoulou, Juha Pekkanen, Costanza Pizzi, Kinga Polanska, Daniela Porta, Lorenzo Richiardi, Sheryl L Rifas-Shiman, Luca Ronfani, Ana C Santos, Marie Standl, Camilla Stoltenberg, Elisabeth Thiering, Carel Thijs, Maties Torrent, Suzanne C Tough, Tomas Trnovec, Steve Turner, Lenie van Rossem, Andrea von Berg, Martine Vrijheid, Tanja G M Vrijkotte, Jane West, Alet Wijga, John Wright, Oleksandr Zvinchuk, Thorkild I A Sørensen, Debbie A Lawlor, Romy Gaillard, Vincent W V Jaddoe

“…<h4>Methods and findings</h4>We conducted an individual participant data meta-analysis of data from 162,129 mothers and their children from 37 pregnancy and birth cohort studies from Europe, North America, and Australia. …”
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