Integration of multi-omics data reveals dysregulated RNA methylation in retinal pigment epithelium drives age-related macular degeneration by Ya-Jun Gong, Zhi-Lin Zou, Kai-Rui Qiu, Qiang Wang, Xiao-Lai Zhou

“…The causal relationship between RNA methylation dysfunction and AMD was analyzed by summary-data-based Mendelian randomization (SMR) using AMD GWAS data and multi-omics quantitative trait loci (QTL), including expression QTLs (eQTLs), protein QTLs (pQTLs), splicing QTLs (sQTLs), and m6A-QTLs (mQTLs). …”
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Genome data based deep learning identified new genes predicting pharmacological treatment response of attention deficit hyperactivity disorder by Yilu Zhao, Zhao Fu, Eric J. Barnett, Ning Wang, Kangfuxi Zhang, Xuping Gao, Xiangyu Zheng, Junbin Tian, Hui Zhang, XueTong Ding, Shaoxian Li, Shuyu Li, Qingjiu Cao, Suhua Chang, Yufeng Wang, Stephen V. Faraone, Li Yang

“…The current GWAS results identified two significant loci (rs10880574, P = 2.39E-09; rs2000900, P = 3.31E-09) which implicated two genes, TMEM117 and MYO5B, that were primarily associated with both brain- and gut-related disorders. …”
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Cohesive data analysis for the identification of prognostic hub genes and significant pathways associated with HER2 + and TN breast cancer types by Mahrukh Zakir, Alishbah Saddiqa, Mawara Sheikh, Lalarukh Zakir, Fatima Sami, Faisal Sardar Ahmad, Sadaf Abdul Rauf, Iqra Ali, Zahid Muneer, Wadi B. Alonazi, Abdul Rauf Siddiqi

“…The study exploits wealth of HER2 + and TNBC transcriptome (RNA Seq) data to elucidate the key hub genes, their associated networks, pathways, stage-wise expression profile, role in prognosis and survival expectancy, and regulatory transcription factors. …”
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The role of productivity, wages, demand, and exchange rates on export performance: Evidence from the Turkish manufacturing industry by Ahmet Koluman, Fatih Kaplan

“…Methods — Using firm-level export data across 21 manufacturing sectors, the study applies a Fixed-Effects model with Driscoll-Kraay standard errors to address heteroscedasticity, autocorrelation, and cross-sectional dependence. …”
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Angiotensin II type-1 receptor autoantibodies and effects in neonates of women with preeclampsia by Laure Ponthier, Chahrazed El Hamel, Perrine Coste Mazeau, Sophie Martinez, Sarah Wehbe, Rachel Froget, Catherine Yardin, Vincent Guigonis

“…Abstract Background Maternal agonistic autoantibodies against the angiotensin II type 1 receptor (AT1-AAs) have been implicated in the pathophysiology of preeclampsia, but their presence in their offsprings and their possible neonatal effects have not been specifically explored. …”
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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

“…MethodsWe used functional magnetic resonance imaging data from 1200 participants (600 with early-stage MDD and 600 healthy controls) across 3 public datasets. …”
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Mapping the landscape of land inequality: A multi-level, data-driven exploration of land inequality in South Korea's urban and regional spheres. by Yookyung Lee, Seungwoo Han

“…This study critically examines the persistence and intensification of land disparities in South Korea between 2018 and 2022, applying a data-driven methodological framework to uncover structural inequalities embedded within the spatial distribution of land wealth. …”
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Morphological And Morphometric analysis of Human External Ear with Its Implications in Sex and Stature Estimation -– A Preliminary Observational Study [version 3; peer review: 1 ap... by Purnima Adhikari, Sneha Guruprasad Kalthur, Shwetha Acharya, Vikram Palimar, Chandni Gupta

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An Improved Prediction of Indian Summer Monsoon Onset From State‐of‐the‐Art Dynamic Model Using Physics‐Guided Data‐Driven Approach by A. S. Sahana, Subimal Ghosh

“…Here we make the most skillful prediction of monsoon onset with a physics‐guided data‐driven model integrated with the operational monsoon prediction by Coupled Forecast System version 2. …”
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Does Rural Labor Transfer Contribute to the Reduction in Chemical Fertilizer Use? Evidence from China’s Household Finance Survey Data in China by Xianhong Qin, Yongjin Guan

“…This study uses China’s Household Finance Survey (CHFS) data to explore the impact of rural labor transfer on the intensity of fertilizer use and examines the mediating role of agricultural machinery services. …”
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Seasonality of underweight among infants 1–11 months old in Niger: an exploratory analysis of data from a cluster-randomised trial by Catherine E Oldenburg, Thomas M Lietman, Jeremy David Keenan, Elodie Lebas, Amza Abdou, Travis C Porco, Kieran S O’Brien, Ahmed Mamane Arzika, Ramatou Maliki, Alio Karamba Mankara, Benjamin Arnold, Brittany Peterson, Bawa Aichatou, Diallo Beidi, Nasser Galo, Nasser Harouna, Sani Mahamadou, Moustapha Abarchi, Almou Ibrahim, Ismael Sara

“…Seasonality of malnutrition has important implications for the timing of child health programme activities, but evidence is mixed on the nature of such patterns. …”
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Does data privacy influence digital marketing? The mediating role of AI-driven trust: An empirical study of Zain Telecom company in Jordan by Nidal Al Said

“… This research aims to examine how data privacy concerns influence DOI in Digital Marketing and investigates how artificial intelligence trust mechanism integration modulates that effect. …”
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Caledonian reactivation and reworking of Timanian thrust systems and implications for latest Mesoproterozoic to mid-Paleozoic tectonics and magmatism in northern Baltica [version 2... by Eirik Stokmo, Jean-Baptiste P. Koehl

“…Methods The present study provides a more definitive answer about the continuation of Trollfjorden–Komagelva Fault Zone west of the Varanger Peninsula by using seismic reflection, bathymetric, topographic, and magnetic data onshore Finnmark and offshore on the Finnmark Platform. …”
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An open-label multicenter observational study (registry) of patients recovered from coronavirus disease 2019 (COVID-19) with involvement of the cardiovascular system or with baseli... by A. O. Konradi, S. V. Villevalde, D. V. Duplyakov, A. V. Kozlenok, O. V. Melnik, E. N. Mikhailov, O. M. Moiseeva, A. O. Nedoshivin, A. E. Soloveva, V. A. Fokin, A. N. Yakovlev, G. P. Arutyunov, Yu. N. Belenkov, E. V. Shlyakho

“…The article presents its rationale, design and implications of the results for clinical practice.…”
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ICT Adoption in Education: Unveiling Emergency Remote Teaching Challenges for Students with Functional Diversity Through Topic Identification in Modern Greek Data by Katia Lida Kermanidis, Spyridon Tzimiris, Stefanos Nikiforos, Maria Nefeli Nikiforos, Despoina Mouratidis

“…The findings revealed the impact of linguistic complexity on topic modeling and highlighted the educational implications of analyzing qualitative data in this context. …”
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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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A Two-Stage Sequential Framework for Traffic Accident Post-Impact Prediction Utilizing Real-Time Traffic, Weather, and Accident Data by Amirhossein Abdi, Seyedehsan Seyedabrishami, Steve O’Hern

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Large-Scale Urban 3D Geological Modeling Based on Multi-Method Coupling Under Multi-Source Heterogeneous Data Conditions by Jixiang Zhu, Xiaoyuan Zhou, Lizhong Zhang

“…By utilizing the standardized stratigraphy as a unified and independent geological framework for layered modeling, a high-precision 3D geological model of Wuhan’s MDA, characterized by large-scale and ultra-complex geological conditions, is constructed through a methodology that integrates the global discrete constrained points modeling approach with the global layered modeling approach, without generalizing the multi-source heterogeneous modeling data. This research not only holds significant practical implications for the prevention and control of comprehensive urban geological issues in Wuhan but also provides novel technical insights into the methodology of 3D urban geological modeling.…”
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Exploring the Link Between Energy Consumption, Economic Growth, and Ecological Footprint in the Major Importers of Poland Energy: A Panel Data Analysis by Mohammad Tawfiq Noorzai, Aneta Bełdycka-Bórawska, Aziz Kutlar, Tomasz Rokicki, Piotr Bórawski

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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

“…In today’s data-driven business landscape, effective customer segmentation is crucial for enhancing engagement, loyalty, and profitability. …”
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