Data and information management for the monitoring of biodiversity in Alberta by Péter Sólymos, Shawn F. Morrison, Jahan Kariyeva, Jim Schieck, Diane L. Haughland, Ermias T. Azeria, Tyler Cobb, Robert Hinchliffe, Jillian Kittson, Anne C. S. Mcintosh, Tara Narwani, Paola Pierossi, Marie‐Claude Roy, Turar Sandybayev, Stan Boutin, Erin Bayne

“…In the almost 20 years since the conception of the Institute, we have identified 4 key characteristics that are required for large‐scale, long‐term biodiversity monitoring programs to be operational: 1) data must be publicly accessible; 2) methods and terminology must be standardized to facilitate consistency around data and information collection, analysis, and reporting; 3) the information system must be flexible so that components can be modified or added without compromising the functionality of the other components or the whole system; and 4) the system must be scalable so that it can support input, storage, and retrieval as data load increases. …”
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Analysis of subjective well-being in European Union countries: Group DEA and NPE by Marta Dziechciarz, Maciej Szczeciński

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Examining the relationship between technological innovation, environmental social governance and corporate sustainability: the moderating role of green operational innovation by Oluwole Nurudeen Omonijo, Yunsheng Zhang

“…The collected data were analyzed using statistical analysis such as SPSS and AMOS. …”
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From Rockfall Observation to Operational Solutions: Nearly 20 years of Cryo-gravitational Hazard Studies in Mont-Blanc Massif by Florence Magnin, Ludovic Ravanel, Matan Ben-Asher, Josué Bock, Maëva Cathala, Pierre-Allain Duvillard, Pierrick Jean, Jean-Yves Josnin, Suvrat Kaushik, André Revil, Philip Deline

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A Systematic Literature Review of Current Research Trends in Operational and Related Technology Threats, Threat Detection, and Security Insurance by Nikolaj Goranin, Dainius Čeponis, Antanas Čenys

“…The expansion of operation technology (OT) use and its tight integration with classical information and communication technologies have led not only to additional and improved possibilities in monitoring physical/manufacturing processes and the emergency of Industry 4.0 but also to a number of new threats, both related to the security of processed data and the safety of people, affected by physical processes and controlled by OT. …”
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Operational Performance Assessment of PV-Powered Street Lighting: A Comparative Study of Different Machine Learning Prediction Models by Safwan Nadweh, Nabil Mohammed, Charalambos Konstantinou, Shehab Ahmed

“…Despite the growing interest in PV-powered street lighting, a significant research gap remains in predicting the operational performance of such systems, as research on PV performance prediction is constrained by the scarcity of accurate data on energy consumption values corresponding to varying lighting intensities and the impact of environmental factors. …”
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Evaluating the operational efficiency of the compact urban medical group in Qiqihar based on the three-stage DEA and Malmquist index model by Ye Xing, Chong Tian, Jiayu Wang, Yanting Liu, Jun Tao, Taoyu Lin, Yan Zhou, Yan Zhou, Yue Wang, Xue Bai

“…Data from 14 medical institutions inform the analysis, utilizing three carefully selected input and three output variables to comprehensively evaluate resource allocation patterns within the medical consortium.ResultsThe first-stage DEA evaluation of Qiqihar’s 14 medical institutions reveals baseline efficiency scores with comprehensive efficiency at 0.839, pure technical efficiency at 0.950, and scale efficiency at 0.882. …”
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The Influence of Total Quality Management and Supply Chain Management on Operational Performance Mediated by Competitive Advantage in Oil and Gas Companies by Syifa Fauziah, Wahyuningsih Santosa, Tri Wulandari Satitidjati Dewayana, Kenny Brescia Lourentika

“…The population in this study were workers and partners in the oil and gas sector. The data analysis technique used was non- probability sampling with purposive sampling technique. …”
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Unified System for Processing Non-Personalized Data by A. V. Brezhnev, E. Z. Gukov

“…The results of the analysis showed that currently there is no single system that would allow for scoring analysis on the subject of personal data, aggregating data from various sources of state systems. …”
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Sustainable development in the tourism sector: The impact of environmental, social, and governance performance on operational efficiency—A multilevel analytical approach by Yu Zhang, Hon Tat Huam, Zi Rui Zhang

“…This study uses panel data from 274 listed companies (2009 to 2022) and a multi-level analytical framework that integrates econometric models with machine learning techniques to explore the complex relationship between Environmental, Social, and Governance (ESG) performance and operational efficiency in China's tourism industry. …”
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CODEC FOR THE PROCESSING AND TRANSFER OF PANORAMIC VIDEO DATA by К. А. Volkov, V. K. Konopelko

“…An analysis of the required transfer rate of panoramic video data for stationary and mobile surveillance networks is done. …”
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Potential of machine learning methods in operational risk stratification in patients with coronary artery disease scheduled for coronary bypass surgery by E. Z. Golukhova, M. A. Keren, T. V. Zavalikhina, N. I. Bulaeva, D. S. Akatov, I. Yu. Sigaev, K. B. Yakhyaeva, D. A. Kolesnikov

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Using modern clustering techniques for parametric fault diagnostics of turbofan engines by I. J. Buraimah

“…Timely and accurate detection of faults is the foundation on which maintenance turnaround times, operational costs and flight safety are based. The data used in this paper for analysis was obtained from flight data recorder during one flight cycle. …”
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Privacy-Preserving Data Sharing in Telehealth Services by Ammar Odeh, Eman Abdelfattah, Walid Salameh

“…Secure multi-party computation (SMPC) is integrated for encrypted data computations, maintaining data confidentiality even during operations. …”
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Microbiological hazards associated with the use of water in the post‐harvest handling and processing operations of fresh and frozen fruits, vegetables and herbs (ffFVH). Part 3 (Fr... by EFSA BIOHAZ Panel (EFSA Panel on Biological Hazards), Ana Allende, Avelino Alvarez‐Ordóñez, Valeria Bortolaia, Sara Bover‐Cid, Alessandra De Cesare, Wietske Dohmen, Laurent Guillier, Lieve Herman, Liesbeth Jacxsens, Lapo Mughini‐Gras, Maarten Nauta, Jakob Ottoson, Luisa Peixe, Fernando Perez‐Rodriguez, Panagiotis Skandamis, Elisabetta Suffredini, Jen Banach, Bin Zhou, Maria Teresa daSilva Felício, Laura Martino, Winy Messens, Angela Botteon

“…Industrial data indicated that the fresh‐whole FVH sector is characterised by very variable operational cycle duration (between 8 and 900 h), large product volumes (e.g. more than 6000 tonnes) and process water at 2.8–25.0°C. …”
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Hyperspectral Data Driven Solid Waste Classification by Gleb Mazanov, Anna Iliushina, Sergey Nesteruk, Andrey Pimenov, Anton Stepanov, Nadezhda Mikhaylova, Andrey Somov

“…In this research, we report on an approach based on hyperspectral cameras and consecutive data analysis in recycling plants for improve waste sorting processes in terms of waste detection and classification. …”
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Model for Prediction of Testing Time of a Computer Program for Automated Reliability Evaluation of Semiconductor Devices by V. O. Kaziuchyts, S. M. Borovikov, E. N. Shneiderov

“…Based on the analysis of the experimental data on the reliability of computer programs in various fields of application, a model is proposed for determining the testing time required to ensure the operational reliability of programs. …”
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How inventory consignment programs can improve supply chain performance: a process oriented perspective by Manoj K. Malhotra, Alan W. Mackelprang, Jayanth Jayaram

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PI-RADSv2.1 combined with PSA density for optimizing prostate biopsy decisions: a retrospective analysis by Yuchun Li, Siran Wang, Jianqiu Wang, Xin Qi, Tianran Liu, Xiaodong He, Yu Zhang, Yi Zhu, Yunfu Zeng

“…ObjectiveThis study aimed to explore the application value of the Prostate Imaging Reporting and Data System version 2.1 (PI-RADS v2.1) combined with prostate-specific antigen density (PSAD) for guiding prostate biopsy, with the goal of improving biopsy positivity rates and reducing unnecessary procedures.MethodsA retrospective analysis was conducted on data from 462 patients (44-89years) who underwent prostate biopsy. …”
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Defining Green Accounting in the Health Sector: West Lombok District Health Center by Fathurrahman Kurniawan, Wahidatul Husnaini

“…The population in this study was workers and partners in the oil and gas sector. The data analysis technique used was non-probability sampling with a purposive sampling technique. …”
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