Decreased vasoregulatory dysfunction associated with intra-operative hemoadsorption treatment is related to mitigated post-transplant procalcitonin rather than cytokine or compleme... by Hajna Katona, Hajna Katona, Adam Soltesz, Adam Soltesz, Eniko Kovacs, Eniko Kovacs, Zsofia Szakal-Toth, Eszter Tamaska, Eszter Tamaska, Kristof Racz, Kristof Racz, Tamás Radovits, Attila Fintha, Krisztián Kovács, Lisa Hurler, Zoltán Prohászka, Bela Merkely, Endre Nemeth, Endre Nemeth

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Application of Machine Learning Technologies for Managing Multifactor Threats in an Integrated Model of Cognitive Security Center at Defense Industry Enterprise by Pavel Panilov, Tatiana Tsibizova

“…This article provides a detailed examination of key elements of this model, including data analysis, anomaly detection, threat response, classification and optimization, as well as the notification system. …”
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Multi-source Data Fusion Method for Distribution Network Based on Spatiotemporal Grid under Extreme Disasters by Bin CHEN, Ming NI, Xia ZHOU, Chen YU, Han WU, Zhou YANG, Husheng LIN

“…Extreme disasters will have a certain impact on the distribution network, and even disrupt the safe and stable operation of the power grid. A large number of data about distribution network equipment and operation are generated during the disaster events, which are large in information contents and high in volatility. …”
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A data management system for long‐term natural resource monitoring and management projects with multiple cooperators by Victoria M. Hunt, Sarah K. Jacobi, Melinda G. Knutson, Eric V. Lonsdorf, Shawn Papon, Jennifer Zorn

“…We present a data management system for natural resource monitoring and management consisting of 2 components: a centralized, web‐based platform for data entry and a connected relational database for data processing, modeling, and analysis. …”
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Order picking dataset from a warehouse of a footwear manufacturing companyMendeley Data by Rodrigo Furlan de Assis, William de Paula Ferreira, Mustapha Ouhimmou

“…Temporal data captures operational trends, including timestamps and operator-specific performance, offering insights into workflow efficiency and workload balancing. …”
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Exploring Purpose-Driven Methods and a Multifaceted Approach in Dam Health Monitoring Data Utilization by Zhanchao Li, Ebrahim Yahya Khailah, Xingyang Liu, Jiaming Liang

“…It discusses monitoring components, data acquisition processes, and sensor roles, stressing the need to integrate environmental, operational, and structural data for decision making. …”
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Real-world adherence trajectories to direct oral anticoagulants in naive patients with atrial fibrillation in Spain by L. M. Leguízamo-Martínez, L. M. Leguízamo-Martínez, L. M. Leguízamo-Martínez, M. E. Ballarin, I. Hurtado, I. Hurtado, G. Sanfélix-Gimeno, G. Sanfélix-Gimeno, F. Sánchez-Sáez, F. Sánchez-Sáez, F. Sánchez-Sáez, M. Sabaté, M. Sabaté

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Village Data Backup and Disaster Recovery: A Comparative Study of Cloud Solutions with Traditional Methods by Barlian Henryranu Prasetio, Edita Rosana Widasari, Adi Setiawan, Hanifa Maulani Ramadhan

“… This study presents a comparative analysis of traditional disk-based and cloud-based Backup and Disaster Recovery (DR) approaches, focusing on the challenges inherent in existing solutions, such as high infrastructure costs, extended recovery times, and operational disruptions during software updates. …”
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Applications and Competitive Advantages of Data Mining and Business Intelligence in SMEs Performance: A Systematic Review by Shao V. Tsiu, Mfanelo Ngobeni, Lesley Mathabela, Bonginkosi Thango

“…This systematic literature review scrutinizes the deployment and efficacy of BI and data mining technologies across SME sectors, assessing their impact on operational efficiency, strategic decision-making, and market competitiveness. …”
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Status assessment and management strategy of a large bridge based on massive real time data by Feng Zhou, Zhihao Cui

“…This study aims to enhance the understanding of the state of large-scale bridge structures by accurately analyzing the structural changes of bridges through extensive real-time monitoring data. By conducting a comparative analysis of field load test data and simulation calculations of linear models, this research seeks to provide a precise assessment of structural indices, identify potential risks, and develop appropriate preventive measures. …”
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Methodology сomparative statistical analysis of Russian industry based on cluster analysis by Sergey S. Shishulin

“…The purpose of this article is to determine the optimal set of statistical methods and the results of their application to industrial production data, which would give the best access to the analysis of the result.Data includes such indicators as output, output, gross value added, the number of employed and other indicators of the system of national accounts and operational business statistics. …”
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Microgrid Resilience Enhancement with Sensor Network-Based Monitoring and Risk Assessment Involving Uncertain Data by Tangxiao Yuan, Kossigan Roland Assilevi, Kondo Hloindo Adjallah, Ayité Sénah A. Ajavon, Huifen Wang

“…Subsequently, a decision risk assessment framework is constructed, integrating data quality evaluation and operational risk considerations, to drive strategy optimization through in-depth data analysis. …”
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Extreme Space Weather Events of the Past 30 Years: Preparation for Data From Mission Vigil by Adam Majirský, Šimon Mackovjak, Silvia Kostárová, Samuel Amrich

“…We then selected the 39 most extreme space weather events that affected the Earth in the past 30 years and gathered Vigil‐like data for them. The objective of this work and our main motivation was to address the following question: “How would Vigil have observed extreme space weather events if it had been operational during those events?” …”
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Data‐driven prediction of prolonged air leak after video‐assisted thoracoscopic surgery for lung cancer: Development and validation of machine‐learning‐based models using real‐worl... by Saori Tou, Koutarou Matsumoto, Asato Hashinokuchi, Fumihiko Kinoshita, Hideki Nakaguma, Yukio Kozuma, Rui Sugeta, Yasunobu Nohara, Takanori Yamashita, Yoshifumi Wakata, Tomoyoshi Takenaka, Kazunori Iwatani, Hidehisa Soejima, Tomoharu Yoshizumi, Naoki Nakashima, Masahiro Kamouchi

“…The primary clinical outcome of interest was prolonged air leak (PAL), defined as drainage removal more than 2 days post‐surgery. Data‐driven prediction models were developed in a cohort of 314 patients from a university hospital applying sparse linear regression models (least absolute shrinkage and selection operator, ridge, and elastic net) and decision tree ensemble models (random forest and extreme gradient boosting). …”
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The prognostic value of red cell distribution width to serum calcium ratio in 28-day all-cause mortality among intensive care unit patients with acute kidney injury： a retrospectiv... by Meng Yuan, Ouyang Yi, Zhou Yu, Tan Ren-xiang, Xiao Bi-xia, Yuan Ze-dong-fang, Chen Ren-shan

“…The receiver operating characteristic （ROC） curve was utilized to evaluate the predictive efficacy of RCR for the 28-day all-cause mortality of AKI in ICU patients. …”
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Supervised Learning-Based Fault Classification in Industrial Rotating Equipment Using Multi-Sensor Data by Aziz Kubilay Ovacıklı, Mert Yagcioglu, Sevgi Demircioglu, Tugberk Kocatekin, Sibel Birtane

“…The presented system focuses on multi-modal data analysis, such as vibration analysis, temperature monitoring, and ultrasound, for more effective fault diagnosis. …”
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Data assetization and capital market information efficiency: evidence from Hidden Champion SMEs in China by Lili Chen

“…Factors analysis demonstrates that digital infrastructure and data circulation transactions can strengthen the enhancement effect of data assetization on the information efficiency of capital market. …”
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Evolution of the Seismic Forecast System Implemented for the Vrancea Area (Romania) by Victorin-Emilian Toader, Constantin Ionescu, Iren-Adelina Moldovan, Alexandru Marmureanu, Iosif Lıngvay, Andrei Mihai

“…The monitoring methods include threshold-based event detection and seismic data analysis. Each method involves specific technical nuances that distinguish this monitoring network as a novel approach in the field. …”
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Optimizing pore pressure prediction in earth dams through the integration of panel data and intelligent models by Behrang Beiranvand, Taher Rajaee, Mehdi Komasi

“…This study presents an innovative spatiotemporal modeling approach that leverages data from properly functioning instruments to reconstruct missing measurements through panel data analysis. …”
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Data Elements Marketization and Corporate Investment Efficiency: Causal Inference via Double Machine Learning by Yeteng Ma, Zhuo Li, Li He

“…Mechanism analysis further demonstrates that such improvement is primarily driven by reduced information dispersion, enhanced risk-bearing capacity, and improved operational efficiency. …”
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