Efficient Time-Series InSAR Data Processing via Modular Cloud-Native Parallelization by Peichen Yu, Chao Wang, Yixian Tang, Weikang Zhang, Lichuan Zou, Shaoyang Guan, Haihang You, Hong Zhang

“…The limitations of computational resources, bottlenecks in I/O operations, and pressures from data storage and transmission have long constrained the efficiency of large-scale synthetic aperture radar (SAR) data processing. …”
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Multi-scale Transformer-based classification of bathymetric LiDAR data in shallow water environments by L. Asgharian Pournodrati, M. M. Baba, J. Gangelhoff, U. Sörgel

“…Bathymetric LiDAR data plays a crucial role in mapping underwater topography, enabling applications in coastal monitoring, environmental assessment, and seabed classification. …”
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Spatial prediction of landslide susceptibility using the data-mining algorithm (case study: Kamyaran county) by Osama Ashraf Mohammed, Hemn Kamal Hamaamin, Jwanro Azad, Sabri Rasooli, Houzhi Li

“…Ultimately, the efficacy of the models was assessed using the receiver operating characteristic (ROC) curve.ResultsThe findings from the ROC curve analysis revealed that the SVM and RF models achieved AUC values of 0.91 and 0.95, respectively; thus, the RF model exhibited the highest AUC value in comparison to the SVM, making it the most effective model for forecasting landslide susceptibility in the study area in the future.ConclusionLandslide potential maps are valuable tools that can be applied in environmental management, land use planning, and infrastructure development.…”
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Integration of Sensor Data and Mathematical Modeling of Underwater Robot Behavior Using a Digital Twin by M. D. Gladyshev, A. V. Rybakov

“…The Arduino IDE platform was used as software for low-level programming, as well as MATLAB and Python for data analysis and graphing.Results. To verify the model, experiments were conducted on a physical model. …”
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Constructing a Biomass-Data Center Nexus for Circular Economy-Based Energy Systems Integration by Pengya Wang, Li Pan, Guannan He, Gengyin Li, Jie Song, Ming Zhou, Jianxiao Wang

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Job Burnout and Its Related Factors Among Surgical Technologists by Nasrin Kamali, Nimamali Azadi, Fardin Amiri, Sedigheh Hanani, Sara Mohammadi

“…A total of 125 surgical technologists were recruited by stratified sampling method. The study data were collected using a demographic questionnaire and Maslach Burnout Inventory (MBI) and then analyzed by the independent t-test, 1-way analysis of variance, and multiple linear regression with a simultaneous model. …”
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Integrating CT radiomics and clinical data with machine learning to predict fibrosis progression in coalworker pneumoconiosis by Xiaobing Li, Xiaobing Li, Xiaobing Li, Xiaobing Li, Xiaobing Li, Qian Li, Qian Li, Qian Li, Qian Li, Xinyi Xie, Wei Wang, Xuemei Li, Tingqiang Zhang, Tingqiang Zhang, Tingqiang Zhang, Tingqiang Zhang, Li Zhang, Li Zhang, Li Zhang, Li Zhang, Yongsheng Liu, Yongsheng Liu, Yongsheng Liu, Yongsheng Liu, Li Wang, Li Wang, Li Wang, Li Wang, Wutao Xie

“…The performance of these models was evaluated in the test cohort using receiver operating characteristic (ROC) curves and decision curve analysis (DCA).ResultsIn the training cohort, the area under the curve (AUC) for the clinical, radiomics, and joint models were 0.835, 0.879, and 0.945, respectively. …”
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Probabilistic Infrastructure Failure Cost Analysis Integrating with Equity Cost Using the Reliability Analysis by Yasaman Norouzi, Seyed Hooman Ghasemi, Mohammad Jalayer

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Analysis of Key Factors for the Growth of 99% Usahaku MSMEs Using Principal Component Analysis by Rany Aprilyanta, Fajar Sidiq Adi Prabowo

“…The analysis identifies thirteen key factors contributing to MSME growth on the platform: labor ecosystem, MSME ecosystem, competitive capacity, market operational ability, skilled human capital, business ecosystem, business information systems, digital adoption, organizational structure, market orientation, financial management, marketing competence, and operational support. …”
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A safety evaluation method and system for a high core wall dam based on construction data by Zicheng Wang, Yingchi Mao, Yaosheng Tan, Qiaoling Shen, Houlei Xu

“…This system provides an online monitoring platform for the operational safety of high core wall dams. This approach enhances the capacity for safety analysis and risk emergency decision-making in hydraulic and hydroelectric engineering.…”
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Assimilation of Doppler Radar Data and Its Impact on Prediction of a Heavy Meiyu Frontal Rainfall Event by Hongli Li, Xiangde Xu, Yang Hu, Yanjiao Xiao, Zhibin Wang

“…Radial velocity data are analyzed through the LAPS wind analysis-based successive correction method. …”
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Exploring the impact of big data analytics and risk management convergence on sustainability performance development: an accounting perspective by Abeer M. Abdelhalim, Maha Hassan

“…A quantitative approach was applied in this study on a sample consisting of 81 individuals from senior and executive financial and operational positions in large Saudi manufacturing corporates, Findings of the multiple regression analysis revealed that that organizations that effectively incorporate big data analytics into their risk management practice improve their sustainability performance In addition, the study is extending big data trends into the future and confirms that they will be leading contributors to corporate long-term sustainability. …”
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Red Army Soldiers from Kalmykia in the Battles for Belarus: a Historical and Statistical Study by Sergey G. Ershov

“…At the same time, an analysis of losses and awards in 1944 shows that the proportion of Kalmyks by the beginning of the strategic operation Bagration had noticeably decreased due to the mass removal of Kalmyks and their deportation to the Shiroklag or places of special settlements. …”
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FuXi-DA: a generalized deep learning data assimilation framework for assimilating satellite observations by Xiaoze Xu, Xiuyu Sun, Wei Han, Xiaohui Zhong, Lei Chen, Zhiqiu Gao, Hao Li

“…Abstract Data assimilation (DA), as an indispensable component within contemporary Numerical Weather Prediction (NWP) systems, plays a crucial role in generating the analysis that significantly impacts forecast performance. …”
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Data-driven modelling method and application based on energy multi-layer network structure of energy hub by Qingsen Cai, Luochang Wu, Chunyang Gao

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Audit of Bank Lending Transactions Accounting when Applying International Standards by O. V. Kurnykina

“…The proposed methodological recommendations for audit of credit operations can be used by auditors as well as by internal control and accounting service of the bank for analysis of accounting policy and its adjustment. …”
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In-situ baseline calibration approach for enhanced data quality of large-scale air sensor monitoring networks by Han Mei, Peng Wei, Ya Wang, Meisam Ahmadi Ghadikolaei, Nirmal Kumar Gali, Zhi Ning

“…The Shanghai application, while showing the method’s potential for large-scale deployments, awaits further real-time validation to confirm its robustness under diverse operational conditions. This study is a valuable advancement in calibration strategies, offering a cost-effective solution that reduces operational costs while ensuring accurate measurements across numerous sensors and long-term network deployments.…”
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A novel framework for the assessment of public-transport drivers' well-being and satisfaction based on physiological data by Guy Wachtel, Yuval Hadas

“…This paper presents a novel framework for data collection and fusion, for better analysis and assessment of public transportation (PT) drivers' well-being and satisfaction using physiological data. …”
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Deep Learning for Anomaly Detection in CNC Machine Vibration Data: A RoughLSTM-Based Approach by Rasım Çekik, Abdullah Turan

“…Moreover, the comparative performance analysis highlights RoughLSTM’s competitive or superior accuracy compared to CNN–LSTM and WaveletLSTMa across various operational scenarios. …”
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Data-driven measurement performance evaluation of voltage transformers in electric railway traction power supply systems by Zhaoyang Li, Muqi Sun, Jun Zhu, Haoyu Luo, Qi Wang, Haitao Hu, Zhengyou He, Ke Wang

“…Case studies conducted on field data from an operational TPSS demonstrate the effectiveness of the proposed method in detecting VTs with measurement deviations exceeding 1% relative to their original accuracy levels. …”
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