Development of the mathematical model for operation of digital substations relay protection complexes by A. V. Simakov, V. V. Kharlamov, M. Yu. Chernev

“…The failure-free operation probability calculated value of the relay protection complexes corresponds to the long-term analysis data. …”
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Simultaneous Process Mining of Process Events and Operator Actions for Alarm Management by László Bántay, Gyula Dörgö, Ferenc Tandari, János Abonyi

“…Using Process Mining tools to explore the operator-related event scenarios requires a goal-oriented log file format that contains the start and the end of the alarms along with the triggered operator actions. …”
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Analysis of noise characteristics of a diode generator in a multi-circuit system by A. Y. Belski, S. M. Satsyk, V. N. Putilin

“…The main research methods were: analysis and generalization of literature data and results of our own research on the peculiarities of oscillation generation in a multi-circuit system of a Gann diode generator and conditions under which high frequency stability is established; experimental studies using microwave spectrum analyzers, microwave devices. …”
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AI Technology Adoption in Corporate IT Network Operations Based on the TOE Model by Seoungkwon Min, Boyoung Kim

“…A survey was conducted targeting network operations and AI professionals to collect data. The analysis results revealed that technological and environmental factors positively influenced the network operation productivity, while only environmental factors positively influenced the network service stability. …”
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Network information exposure based QoS prediction in tele-operated driving by Yuhang JIA, Yixue LEI, Yipeng ZHANG, Yunfei ZHANG

“…The rapid development of 5G systems supports the stringent quality of service (QoS) requirements for many Internet of vehicles (IoV) use cases.However, there are still many problems in the adaptation of networks and applications.Network information exposure is a potential solution that also enables the network to provide real-time cellular wireless network information to applications, thereby helping service providers achieve better policy control and achieve an experience for users.A predictive QoS (PQoS) method based on network information exposure was proposed.Applications could respond in advance and improve users’ quality of experience (QoE) by predicting upcoming network changes.Firstly, the background of network information exposure and PQoS was introduced, and the research, standards, and implementation status of PQoS both at home and abroad were introduced.Then, a QoS prediction method based on network information exposure in tele-operated driving (ToD) was proposed, and experiments were carried out through actual test data and the feasibility of PQoS was verified through the evaluation and analysis.The results show that the QoS prediction based on the network information exposure can well support the application of some IoV, including 5G remote driving, which provides a reference for implementing the 5G system in the smart transportation industry.…”
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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

“…Smart manufacturing systems aim to enhance the efficiency, adaptability, and reliability of industrial operations through advanced data-driven approaches. …”
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Characteristic Analysis and Experimental Study on a Hybrid System with Magnetic Pump-driven Two Phase Cooling System by Ma Yuezheng, Xu Shuxue, Ma Guoyuan, Zhang Shuang

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Visualization of vaporization events in two-phase thermosyphons operating in different orientations by Roman Melnyk, Leonid Lipnitskyi, Yurii Nikolaenko, Vladimir Kravets, Demyd Pekur

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Administrative suspension of operations for violations of industrial safety: theoretical and practical issues by M. A. Buchakova, M. D. Vershilo

“…The main issues of law enforcement activity on the application of administrative punishment in the form of administrative suspension of operations for identified offenses in the field of industrial safety of hazardous production facilities.The purpose of the article is to confirm or disprove hypothesis that Russian legislation allows the resumption of activities after the expiration of the period of its suspension without eliminating violations of industrial safety.The methodology of research is logical analysis of Russian legislation, statistical data and judicial decisions concerning enforcement of administrative suspension of operations in Russia.The main results. …”
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An Intelligent Passenger Flow Prediction Method for Pricing Strategy and Hotel Operations by Tianyang Wang

“…Traditional nonlinear prediction methods need to improve the prediction accuracy, and they are difficult to deal with the increasing data of hotel passenger flow. Based on the above analysis, this paper constructs a deep learning prediction model based on Long Short-Term Memory (LSTM) to predict the number of actual monthly arrival bookings. …”
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Does Adipose Tissue Thickness Affect the Duration of Rotator Cuff Operations? by Deniz Çankaya, Hakan Zeybek, Selin Haver, Daghan Dogruyol, Serdar Aktı, Sefa Aktı

“…The data obtained were evaluated using multivariate analysis and a binary logistic regression model.Results: Evaluation was made of a total of 106 patients. …”
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The proximal hamstring avulsion clinical trial (PHACT)—a randomised controlled non-inferiority trial of operative versus non-operative treatment of proximal hamstrings avulsions: s... by Ville M Mattila, Olof Sköldenberg, Martin Eklund, Elsa Pihl, Carl Johan Hedbeck, Målfrid Holen Kristoffersen, Anne-Mari Rosenlund, Sofia Laszlo, Mida Berglöf, Eva Ribom, Karl Eriksson, Frede Frihagen, Jörg Schilcher, Greta Snellman, Mikael Skorpil, Kenneth Jonsson

“…While several trials have investigated the outcome for patients treated surgically, there is today no prospective trial comparing operative treatment with non-operative treatment. This protocol describes the design for the proximal hamstring avulsion clinical trial (PHACT)—the first randomised controlled trial of operative versus non-operative treatment for proximal hamstring avulsions.Methods and analysis PHACT is a multicentre randomised controlled trial conducted across Sweden, Norway and Finland. …”
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The association between obesity-related indicators and female infertility: the United States National Health and Nutrition Examination Survey, 2013–2018 by Chunming Yu, Haishuang Wu, Xin Sun, Min Cao, Jing Yuan

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Nocturnal desaturation in patients with non-operable chronic thromboembolic pulmonary hypertension by Yu Taniguchi, Miki Sakamoto, Hiroyuki Fujii, Keisuke Miwa, Yasunori Tsuboi, Kenichi Yanaka, Noriaki Emoto, Hiromasa Otake

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The effects of temporary staff on observable teamwork outcomes within operating rooms by Logan Butler, Andrew Kozlow, Cody Mitchell, Rebecca S. Cintron, Caprice Greenberg, Lawrence B. Marks, Lawrence B. Marks, Jin H. Ra, Lukasz Mazur, Lukasz Mazur

“…Mean scores for the 20 TENTS metrics were calculated for cases involving temporary staff and compared to cases with only permanent staff using two-sample t-tests. An analysis of variance (ANOVA) was also conducted to compare three staff compositions: only permanent staff, either a temporary scrub technician or circulating nurse, both a temporary scrub technician and circulating nurse.ResultsData from 100 surgical cases indicated that all TENTS safety behavior scores averaged above 2, suggesting acceptable behavior levels. …”
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Primary operable breast cancer: molecular subtypes and morphological prognostic factors by V. E. Ponomarev, S. B. Polikarpova, N. I. Mehtieva, N. U. Shagina, Y. V. Vishnevskaja, V. V. Selivanova

“…The overall survival (OS) and disease - free survival (DFS) were studied depending on the histological type, molecular - biological subtype of breast cancer, axillary status, lymphovascular invasion, tumor histologic grade, proliferation index (by Ki-67 staining) and HER2 protein expression. Statistical data processing included a comparison of the frequencies of the studied traits, analysis of survival curves by the Kaplan-Meier method.Results. …”
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Advanced Machine Learning Techniques for Energy Consumption Analysis and Optimization at UBC Campus: Correlations with Meteorological Variables by Amir Shahcheraghian, Adrian Ilinca

“…Energy consumption analysis has often faced challenges such as limited model accuracy and inadequate consideration of the complex interactions between energy usage and meteorological data. …”
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Integrated Approach to Marine Engine Maintenance Optimization: Weibull Analysis, Markov Chains, and DEA Model by Damir Budimir, Dario Medić, Vlatka Ružić, Mateja Kulej

“…The methodology integrates Weibull reliability analysis, Markov chains, and Data Envelopment Analysis (DEA). …”
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Data normalization in machine learning by V. V. Starovoitov, Yu. I. Golub

“…The rules for separating features of tree-like classifiers are invariant to scales of quantitative features. Only comparison operation is used. Perhaps due to this property, the random forest classifier, as a result of numerous experiments, is recognized as one of the best classifiers in the analysis of data of different nature.…”
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CWCM-Net: A Novel Feature Fusion Method for Oil Spill Detection Using Single- and Quad-Polarization SAR Data by Sohail Jamal, Guangmin Sun, Yu Li, Abdul Qadir Khan, Yuanzhi Zhang, Anna Verlanti, Ferdinando Nunziata

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