A Data Reconciliation-Based Method for Performance Estimation of Entrained-Flow Pulverized Coal Gasification by Yan Zhang, Kai Yue, Chang Yuan, Jiahao Xiang

“…Measured data under stable and variable operating conditions are reconciled, detecting and eliminating a 12% error in syngas flow rate at the scrubber outlet, thereby improving gasification performance accuracy. …”
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The TDGL Module: A Fast Multi-Scale Vision Sensor Based on a Transformation Dilated Grouped Layer by Leilei Xie, Fenghua Zhu, Zhixue Wang

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Incremental Pyraformer–Deep Canonical Correlation Analysis: A Novel Framework for Effective Fault Detection in Dynamic Nonlinear Processes by Yucheng Ding, Yingfeng Zhang, Jianfeng Huang, Shitong Peng

“…However, capturing nonlinear and temporal dependencies in dynamic nonlinear industrial processes poses significant challenges for traditional data-driven fault detection methods. …”
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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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Continuing exposure to disadvantageous material and perceived economic factors on self-rated health in different life stages: fixed effects analyses with data from the German Socio... by Tobias Rähse, Matthias Richter, Anja Knöchelmann

“…Examining the relevance of these accumulation and adaptation processes, the present study analyses continuing exposure to various material and perceived economic factors on self-rated health (SRH) across different life stages. …”
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An adaptive deep learning approach based on InBNFus and CNNDen-GRU networks for breast cancer and maternal fetal classification using ultrasound images by Mamuna Fatima, Muhammad Attique Khan, Anwar M. Mirza, Jungpil Shin, Areej Alasiry, Mehrez Marzougui, Jaehyuk Cha, Byoungchol Chang

“…In this work, we proposed a novel adaptive deep-learning framework for simultaneously classifying breast cancer and maternal-fetal ultrasound datasets. Data augmentation was applied in the preprocessing phase to address the data imbalance problem. …”
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Summary of the 2023 (1st edition) Report of TCEP (Tracking Clean Energy Progress) by the International Energy Agency (IEA), and Proposed Process for Computing a Single Aggregate Ra... by Marzouk Osama A.

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Clustering and modeling joint-trajectories of HIV/AIDS and tuberculosis mortality rates using bayesian multi-process latent growth model: A global study from 1990 to 2021 by Tofigh Mobaderi, Anoshirvan Kazemnejad, Masoud Salehi

“…Methods In this longitudinal study, the HIV/AIDS and TB mortality rates data for 204 countries from 1990 to 2021 were obtained from the global burden of disease database. …”
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NLP-Driven Analysis of Pneumothorax Incidence Following Central Venous Catheter Procedures: A Data-Driven Re-Evaluation of Routine Imaging in Value-Based Medicine by Martin Breitwieser, Vanessa Moore, Teresa Wiesner, Florian Wichlas, Christian Deininger

“…A custom-built NLP algorithm identified cases of pneumothorax from radiologists’ reports and clinician requests, while excluding cases with contraindications such as chest injuries, prior pneumothorax, or missing data. Chi-square tests were used to compare pneumothorax rates between CVC insertion and removal, and multivariate logistic regression identified risk factors, with a focus on age and gender. …”
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A unified-field theory of genome organization and gene regulation by Giuseppe Negro, Massimiliano Semeraro, Peter R. Cook, Davide Marenduzzo

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Applying the Rasch Rating Scale Model (RSM) to investigate the rating scales function in survey research instrument by Jimmy Chong, Siti Eshah Mokshein, Ramlee Mustapha

“…The instrument used to demonstrate the process of diagnosis a rating scale functioning in this study was the Vocational Teachers’ Assessment Literacy (VoTAL) instrument. …”
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Linear Wavelet-Based Estimators of Partial Derivatives of Multivariate Density Function for Stationary and Ergodic Continuous Time Processes by Sultana Didi, Salim Bouzebda

“…In addition, a uniform convergence rate and normality are established. To establish the asymptotic behavior of the proposed estimators, we adopt a martingale approach that accommodates the ergodic nature of the underlying processes. …”
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Development of routine-data-compatible quality indicators for the management of osteoarthritis of the knee and hip in ambulatory care: a RAND-modified Delphi consensus process by Tobias Bock, Philip Bammert, Ronja Flemming, Rüdiger von Eisenhart-Rothe, Igor Lazic, Leonie Sundmacher

“…To build on a preceding systematic review, we conducted a Delphi process to develop QIs that can be quantified using routine data from German statutory health insurers and used for the ambulatory management of osteoarthritis of the knee and hip before TJA. …”
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Conversion of 10 min Rain Rate Time Series into 1 min Time Series: Theory, Experimental Results, and Application in Satellite Communications by Emilio Matricciani, Carlo Riva

“…To develop the method, we used a very large data bank of 1 min rain rate time series collected in several sites with different climatic conditions. …”
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Improving Diacritical Arabic Speech Recognition: Transformer-Based Models with Transfer Learning and Hybrid Data Augmentation by Haifa Alaqel, Khalil El Hindi

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Analysis of Electromagnetic and Thermal Processes of an Induction Motor Using 3D Modeling by A. N. Pekhota, V. N. Galushko, B. M. Khrustalev, D. V. Mirosh

“…The results of research and analysis of electromagnetic and thermal processes taking place in an induction motor are presented. …”
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Blockchain smart contract vulnerability detection based on GR algorithm by WANG Deguang, SHAN Mengtao, LI Fengqi, TONG Ning

“…Experimental results showed that the GR algorithm model could successfully detect five categories of smart contract vulnerabilities with an accuracy rate of 98.88%. Compared to previous algorithm models, it achieved over 3% improvement in detection efficiency and increased three detectable vulnerability categories. …”
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Discriminant analysis of variational pulsometry parameters by U. I. Silkina, V. A. Balandin

“…Mathematical data processing was carried out by the method of discriminant analysis of variational pulsometry parameters of healthy and sick patients with heart failure. …”
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Classification of Chronic Obstructive Pulmonary Disease (COPD) Through Respiratory Pattern Analysis by Do-Kyeong Lee, Jae-Sung Choi, Seong-Jun Choi, Min-Hyung Choi, Min Hong

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DEVELOPMENT OF DATA MESH DATA PLATFORM WITH ML DOMAIN OF DATA ANALYSIS by M. Fostyak, L. Demkiv

“…All domains have their own operational data source. Each domain team builds a data product for their domain, which includes only cleaned, processed, and selected data. …”
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