Development and Validation of a Predictive Model for Activities of Daily Living Dysfunction in Older Adults: Retrospective Analysis of Data From the China Health and Retirement Lon... by Fangbo Lin, Chao Liu, Hua Liu

“…After addressing missing data via multiple imputation, Least Absolute Shrinkage and Selection Operator (LASSO) regression and multivariable logistic regression identified 6 predictors. …”
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A Data-Driven Visualization Approach for Life-Cycle Cost Analysis of Open-Cut and Trenchless CIPP Methods for Sanitary Sewers: A PRISMA Systematic Review by Gayatri Thakre, Vinayak Kaushal, Eesha Karkhanis, Mohammad Najafi

“…The findings reveal limited use of artificial intelligence (AI) or machine learning (ML) in predicting CIPPRT costs. A bibliometric analysis using VOSviewer visualizes the results. The study underscores the potential of intelligent, data-driven approaches, such as spreadsheet models and AI, to enhance decision-making in selecting rehabilitation methods tailored to project conditions. …”
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Association between serum creatinine—to—albumin ratio and 28-day mortality in intensive care unit patients following cardiac surgery: analysis of mimic-iv data by Pengtao Shi, Shen Rui, Qingyou Meng

“…Methods MIMIC-IV database was searched to obtain data of patients admitted to ICU following cardiac surgery. …”
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Comparing different definitions of prediabetes with subsequent risk of diabetes: an individual participant data meta-analysis involving 76 513 individuals and 8208 cases of inciden... by Fereidoun Azizi, Edward W Gregg, Pamela J Schreiner, Julie A Pasco, David R Jacobs Jr, Mark Woodward, Gary Wittert, Hiroshi Yatsuya, Davood Khalili, Gita Mishra, Rachel R Huxley, Crystal Man Ying Lee, Elizabeth Selvin, Tiffany K Gill, Dianna J Magliano, Jonathan E Shaw, Stephen Colagiuri, Robert Adams, Rafael Gabriel, Clicerio Gonzalez, Allison Hodge, Joshua J Joseph, Kirsten Mehlig, Roger Milne, Morgana Mongraw-Chaffin, Masaru Sakurai

“…We compared the ability of these to predict 5-year conversion to diabetes and investigated whether there were other cut-points identifying risk of progression to diabetes that may be more useful.Research design and methods We conducted an individual participant meta-analysis using longitudinal data included in the Obesity, Diabetes and Cardiovascular Disease Collaboration. …”
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Comparing recovery community centers (RCCs) serving Black, Hispanic/Latino, and other communities: an exploratory secondary data analysis of a nationwide survey of RCC directors by Diadora DeCristofaro, Allison Futter, Alivia Williamson, Susanne S. Hoeppner, Lauren A. Hoffman, Marion J. Riggs, Judeline Joseph, Julia Ojeda, Amy A. Mericle, Vinod Rao, Philip X. Rutherford, Patty McCarthy, Bettina B. Hoeppner

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Impacts of Prior Anti-Osteoporosis Treatments on Sequential Denosumab Responses in BMD Changes Among Postmenopausal Osteoporosis Women in East China: Real-World Data Analysis by Guan G, Du Y, Tang W, Chen M, Yu W, Li H, Cheng Q

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Artificial intelligence in data storage systems by V. V. Zhilin, O. A. Safar'yan

“…The artificial intelligence (AI) performance in data storage systems is considered. When working with data, the advantage of its use both in economic terms and for security is determined. …”
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The Pierre Auger Observatory open data by Pierre Auger Collaboration

“…In February 2021, a portal was released containing 10% of cosmic-ray data collected by the Pierre Auger Observatory from 2004 to 2018, during the first phase of operation of the Observatory. …”
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Methodological Aspects of Data Management at the Enterprise by E. N. Sheremetyeva, A. K. Adgizalova, Yu. G. Popov

“…Data management — across its many forms, as discussed in the article — is conceptualized as a comprehensive system based on a digital model that supports the effective operation of businesses in the face of new technological implementations. …”
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DATA MODELS FOR INCIDENT RESPONSE AUTOMATIZATION by Aleksandr V. Kuznetcov

“…As a development of this research, the author is developing a physical data model and its testing.…”
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Analysis and Modelling for Industrial Energy Efficiency in the Cosmetics Industry: A Real Industrial Case in an Italian Manufacturing Company by Roberto Rocca, Daniele Perossa, Luca Fumagalli

“…The work has been conducted by analyzing the production process’s energy consumption and developing an energy model of a selected machine (i.e., a turbo-emulsifier). The analysis and modeling performed aimed at assessing the different operational phases of the machine and evaluating the different behaviors of the data. …”
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PERANCANGAN STANDAR OPERASIONAL PROSEDUR SIKLUS OPERASIONAL PADA PERUSAHAAN STAGGER MEDIA by Satrio Gozal

“…Technique analysis data of this research is using operating management, standard operating procedure, design system, and flowchart. …”
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Multi‐data classification detection in smart grid under false data injection attack based on Inception network by H. Pan, H. Yang, C. N. Na, J. Y. Jin

“…Abstract During operation, the smart grid is subject to different false data injection attacks (FDIA). …”
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Geometric correction of meteorological satellite cloud image data position under multi-source data temporal correlation by Shenbing Hua, Shuanglong Jin, Zongpeng Song, Xiaolin Liu

“…Secondly, through time series correlation analysis, the time series correlation between meteorological satellite cloud image data and ground cloud image key points in other geographic spatial data can be mined to accurately obtain cloud image key points and improve the accuracy of geometric correction. …”
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SIMULATION-BASED PERFORMANCE EVALUATION FOR SMART ROAD SYSTEMS by Anna GRANÀ, Elżbieta MACIOSZEK, Maria Luisa TUMMINELLO

“…The study involves processing geometric and traffic data, categorizing entry lane types, developing benchmark capacity functions, processing micro-simulator input data, and conducting sensitivity analysis for model calibration. …”
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Acquisition of European Union Funds for Knowledge Transfer by Enterprises from Opolskie Voivodship by Aleksandra Zygmunt, Mirosława Szewczyk

“…First, the range of knowledge transfer in regional development is emphasized. Afterwards, an analysis is made of Opolskie Voivodship enterprises in the range of the major Operational Programme Innovative Economy priorities connected with knowledge transfer. …”
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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 5 (Fr... by EFSA Panel on Biological Hazards (BIOHAZ), 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 frozen FVH sector is characterised by operational cycles between 8 and 120 h, variable product volumes and no control of the temperature of process water. …”
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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 4 (fr... by EFSA Panel on Biological Hazards (BIOHAZ), 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‐cut FVH sector is characterised by process water at cooled temperature, operational cycles between 1 and 15 h, and product volumes between 700 and 3000 kg. …”
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Depth-specific soil moisture estimation in vegetated corn fields using a canopy-informed model: A fusion of RGB-thermal drone data and machine learning by Milad Vahidi, Sanaz Shafian, William Hunter Frame

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Theoretical and numerical study of profit in agricultural sector model using wavelet method by Yeshwanth R., Kumbinarasaiah S.

“…The operational matrices are used to simplify fractional differential equations to an algebraic system of equations. …”
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