Integrating Inverse Data Envelopment Analysis and Machine Learning for Enhanced Road Transport Safety in Iran by Seyyed Mojtaba Tabatabai, Fatemeh Al-Sadat Tabatabai

“…This approach has been carried out using the Data Envelopment Analysis (DEA) method, which, unlike regression methods, does not require obtaining the distribution function and considering hypotheses about it. …”
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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

“…Multisource and multimodal data fusion plays a pivotal role in large-scale artificial intelligence applications involving big data. …”
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A Malmquist fuzzy data envelopment analysis model for performance evaluation of rural healthcare systems by Vishal Chaubey, Deena Sunil Sharanappa, Kshitish Kumar Mohanta, Rajkumar Verma

“…The primary purpose of this article is to measure the relative efficiency and productivity change over time in rural healthcare systems in the presence of fuzzy data. First, a novel ranking function based on the lower and upper bounds of alpha-cut of the trapezoidal fuzzy numbers (TrFNs) is proposed to compare the TrFNs. …”
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Analysis of Multifractal Characteristics and Detrended Cross-Correlation of Conventional Logging Data Regarding Igneous Rocks by Shiyao Wang, Dan Mou, Xinghua Qi, Zhuwen Wang

“…Subsequently, through a series of rearrangement sequences and the replacement sequence on the original logging data, we identify that the probability density function and long-range correlation are the fundamental sources of the observed multifractality. …”
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Association of Polycystic Ovary Syndrome with Clinical, Physical, and Reproductive Factors: A Data-Driven Analysis by Ismat Ara Begum, A. S. M. Sanwar Hosen, Deepak Ghimire, Mi Jin Park

“…AMH levels above 4.18 ng/mL were strongly associated with PCOS, suggesting that higher AMH levels may reflect excessive follicular activity rather than enhanced ovarian function. Weight was positively correlated with PCOS, emphasizing the role of metabolic disturbances in its pathophysiology. …”
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A Novel Convolutional Neural Network–Long Short-term Memory Model for Interplanetary Coronal Mass Ejection Detection by Junpei Li, Hong Chen, Jingjing Wang, Yanhong Chen, Bingxian Luo, Hao Deng

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Family management styles of families of children and adolescents with developmental disabilities during the COVID-19 pandemic: a cross-sectional study by Anna Lee, Eun Ju Park, Yeeun Kim

“…Online data collection assessed family management styles, family functioning, and children’s QoL. …”
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Smartphone Screen Time Characteristics in People With Suicidal Thoughts: Retrospective Observational Data Analysis Study by Marta Karas, Debbie Huang, Zachary Clement, Alexander J Millner, Evan M Kleiman, Kate H Bentley, Kelly L Zuromski, Rebecca G Fortgang, Dylan DeMarco, Adam Haim, Abigail Donovan, Ralph J Buonopane, Suzanne A Bird, Jordan W Smoller, Matthew K Nock, Jukka-Pekka Onnela

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Improving the Accuracy of Flood Damage Assessments to Residential Structures via the Use of Experimental Data by Anna Katya Opel, Elizabeth Chisolm Matthews

“…This experimentally derived damage data were then translated into a set of flood depth–damage functions (DDFs). …”
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A Comparative Study of Fractal Models Applied to Artificial and Natural Data by Gil Silva, Fernando Pellon de Miranda, Mateus Michelon, Ana Ovídio, Felipe Venturelli, João Parêdes, João Ferreira, Letícia Moraes, Flávio Barbosa, Alexandre Cury

“…These methods are applied to artificially generated fractal data, such as Weierstrass–Mandelbrot functions and fractal Brownian motion, as well as natural datasets related to environmental and geophysical domains. …”
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APPROACH TO THE FORMATION OF METHODS FOR ESTIMATING THE EFFICIENCY OF AVIATION SYSTEMS BASED ON DATA ENVELOPMENT ANALYSIS METHODOLOGY by N. I. Zurabyan

“…The underlying of approach data envelopment analysis methodology (DEA) based on the methods of mathematical programming, theory of production functions and Pareto optimality principle is dealt with.…”
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Analysis of Phosphorus Soil Sorption Data: Improved Results from Global Least-Squares Fitting by Joel Tellinghuisen, Paul Holford, Paul J. Milham

“…The analysis allows for uncertainty in both <i>C</i> and <i>C</i>₀, with inverse-variance weighting from variance functions estimated by residuals analysis. …”
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Statistical Analysis of a Generalized Linear Model for Bilateral Correlated Data Under Donner’s Model by Jinlong Cheng, Zhiming Li, Keyi Mou

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Analysis of the Impact of County-Levelization on Economic Growth and Public Service Development Based on Panel Data by Wangteng Xu, Shaojian Wang

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A Word Association Data Processor to Facilitate Robust and Consistent Categorisation and Analysis of Word Associations by Andreas Buerki

“…The Word Association Data Processor (WADP) is an open-source, free software package which automates key aspects of the categorisation and analysis of word association data gathered from respondents in word association tasks. …”
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Enhancing Data Recovery in RAID6: A Comparative Analysis of Row-Diagonal Parity Codes by Zhang Wenxu

“…This approach markedly improves RAID6's functionality by optimizing recovery processes, thus supporting high-volume storage systems with stringent data integrity requirements. …”
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Open Data for Transparency of Government Tenders: A State Analysis in Croatian Agriculture Land Lease by Larisa Hrustek, Karlo Kević, Filip Varga

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How Do Urban Environments Impact Walkability? An Analysis Using Multi-Source Data of Beijing by Changming Yu, Xinyu Wang, Ziao Zheng, Stephen Siu Yu Lau

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Data‐Driven Theoretical Modeling of Centrifugal Step Emulsification and Its Application in Comprehensive Multiscale Analysis by Xin Wang, Xiaolu Cai, Chao Wan, Huijuan Yuan, Shunji Li, Yiwei Zhang, Ran Zhao, Yuxi Qin, Yiwei Li, Bi‐Feng Liu, Peng Chen

“…However, the absence of precise predictive models forces droplet platforms to rely on empiricism derived from extensive experiments, underscoring the need for comprehensive modeling analysis. To address this, a novel customized assembled centrifugal step emulsifier (CASE) is presented by incorporating a “jigsaw puzzles” design to efficiently acquire large‐scale experimental data. …”
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Forest Fragmentation in Bavaria: A First-Time Quantitative Analysis Based on Earth Observation Data by Kjirsten Coleman, Claudia Kuenzer

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