The morphometry of soft tissue insertions on the tibial plateau: data acquisition and statistical shape analysis. by Liying Zheng, Christopher D Harner, Xudong Zhang

“…Generalized Procrustes Analysis was employed in conjunction with Principal Components Analysis to first create a geometric consensus based on tibial cartilage and then determine the means and variations of insertion morphometrics including shape, size, location, and inter-relationship measures. …”
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Application of machine learning in diabetes prediction based on electronic health record data analysis by Yang Zihan

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Efficient and easy gene expression and genetic variation data analysis and visualization using exvar by Hiba Ben Aribi, Imraan Dixon, Najla Abassi, Olaitan I. Awe

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Hierarchical data modeling: A systematic comparison of statistical, tree-based, and neural network approaches by Marzieh Amiri Shahbazi, Nasibeh Azadeh-Fard

“…This research establishes practical guidelines for selecting appropriate hierarchical modeling approaches based on data characteristics, computational constraints, and analytical requirements, thereby advancing understanding of fundamental trade-offs in multilevel analysis.…”
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Longitudinal whole-brain analysis of multi-subject diffusion data in diffuse axonal injury by Daphine Centola Grassi, Ana Luiza Zaninotto, Fabrício Stewan Feltrin, Fabíola Bezerra de Carvalho Macruz, Maria Concepción García Otaduy, Claudia da Costa Leite, Vinicius Monteiro de Paula Guirado, Wellingson Silva Paiva, Celi Santos Andrade

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Machine learning and complex network analysis of drug effects on neuronal microelectrode biosensor data by Manuel Ciba, Marc Petzold, Caroline L. Alves, Francisco A. Rodrigues, Yasuhiko Jimbo, Christiane Thielemann

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Integrating petrophysical data into efficient iterative cluster analysis for electrofacies identification in clastic reservoirs by Mohammed A. Abbas, Watheq J. Al-Mudhafar, Aqsa Anees, David A. Wood

“…The observable well-log variables consist of conventional open-hole, well-log data and the computer-processed interpretation of gamma rays, bulk density, neutron porosity, compressional sonic, deep resistivity, shale volume, total porosity, and water saturation, from three wells located in the Nahr Umr reservoir. …”
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Enhance differential privacy mechanisms for clinical data analysis using CNNs and reinforcement learning by Rakesh Batchala, Priyank Jain, Manasi Gyanchandani, Sanyam Shukla, Rajesh Wadhvani

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Analysis of Spatial-Temporal Characteristics of Operations in Public Transport Networks Based on Multisource Data by Hui Zhang, Yanjun Liu, Baiying Shi, Jianmin Jia, Wei Wang, Xiang Zhao

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Association between coeliac disease and cardiovascular disease: prospective analysis of UK Biobank data by Elizabeth Soilleux, Megan Conroy, Naomi Allen, Thomas Littlejohns, Ben Lacey

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CelltrackR: An R package for fast and flexible analysis of immune cell migration data by Inge M.N. Wortel, Annie Y. Liu, Katharina Dannenberg, Jeffrey C. Berry, Mark J. Miller, Johannes Textor

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Aboveground Forest Biomass Estimation with Landsat and LiDAR Data and Uncertainty Analysis of the Estimates by Dengsheng Lu, Qi Chen, Guangxing Wang, Emilio Moran, Mateus Batistella, Maozhen Zhang, Gaia Vaglio Laurin, David Saah

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MammOnc-DB, an integrative breast cancer data analysis platform for target discovery by Santhosh Kumar Karthikeyan, Darshan S. Chandrashekar, Snigdha Sahai, Sadeep Shrestha, Ritu Aneja, Rajesh Singh, Celina G. Kleer, Sidharth Kumar, Zhaohui S. Qin, Harikrishna Nakshatri, Upender Manne, Chad J. Creighton, Sooryanarayana Varambally

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Bioinformatics-Driven Optimization of Wheat Breeding by Integrating Genomic Data Analysis with Phenotypic Traits by Hussein Ramy Riad, Alkhafaij Mahdi Abdulkhudur, Madhavi Karanam

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Trends and Outcomes in Sarcomatoid Renal Cell Carcinoma: Analysis of the National Cancer Data Base by Luke L. Wang, Dhruv Puri, Cesare Saitta, Franklin Liu, Jonathan A. Afari, Margaret F. Meagher, Kevin Hakimi, Mimi V. Nguyen, Aastha Shah, Saeed Ghassemzadeh, James D. Murphy, Juan Javier-Desloges, Rana R. McKay, Ithaar H. Derweesh

“…Overall survival (OS) was computed via Kaplan-Meier analysis. Key findings and limitations: sRCC incidence increased from 3.9% in 2010 to 4.1% in 2019 (p = 0.020). …”
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Computational methods and artificial intelligence-based modeling of magnesium alloys: a systematic review of machine learning, deep learning, and data-driven design and optimizatio... by Hanxuan Wang, Raman Kumar, Raman Kumar, Ashutosh Pattanaik, Rajender Kumar, Rajender Kumar, Ali Saeed Owayez Khawaf Aljaberi, Mayada Ahmed Abass

“…The PRISMA framework was used to ensure the structured literature search, eligibility assessment, and documentation of the selection process. 185 peer-reviewed articles (2015–2025) were analyzed and organized into seven refined thematic clusters: ‘mechanical behavior modeling using neural networks’, ‘AI-driven alloy design and compositional optimization’, ‘atomic-scale modeling and physics-guided learning’, ‘AI applications in welding and thermomechanical processing’, ‘biomaterials and microstructural optimization’, ‘corrosion modeling and degradation prediction’, ‘data-driven design and integrated optimization frameworks’. …”
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New Statistical Residuals for Regression Models in the Exponential Family: Characterization, Simulation, Computation, and Applications by Raydonal Ospina, Patrícia L. Espinheira, Leilo A. Arias, Cleber M. Xavier, Víctor Leiva, Cecilia Castro

“…Residuals are essential in regression analysis for evaluating model adequacy, validating assumptions, and detecting outliers or influential data. …”
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Experimental and computational investigation of tensile and flexural properties of polylactic acid filled with boron nitride nanoplatelets by Harishbabu Sundarasetty, Santosh Kumar Sahu

“…The integrated experimental analysis with the Finite Element Method (FEM) computational simulation employed a multiscale modelling approach used to evaluate the effects of BNNP fillers at varying weight fractions (i.e. 0.005% to 0.04%). …”
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Stain Normalization of Histopathological Images Based on Deep Learning: A Review by Chuanyun Xu, Yisha Sun, Yang Zhang, Tianqi Liu, Xiao Wang, Die Hu, Shuaiye Huang, Junjie Li, Fanghong Zhang, Gang Li

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Experimental and Computational Study on the Tensile and Flexural Properties of Polylactic Acid filled with Boron Nitride Nanoplatelets by Harishbabu Sundarasetty, Santosh Kumar Sahu

“…The integrated experimental analysis with the Finite Element Method (FEM) computational simulation employed a multiscale modelling approach used to evaluate the effects of BNNP fillers at varying weight fractions (i.e. 0.005% to 0.04%). …”
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