Adoption of Industry 4.0 Technologies in Chilean Mining: A Comparative Analysis Between Sectors by Mauricio Castillo-Vergara, Rodrigo Ortiz-Henríquez, Cristian Geldes, Víctor Muñoz-Cisterna, Claudio Escobar-Arriagada

“…The results indicate that mining companies are significantly more advanced in integrating technologies such as ERP, SCM, and Big Data, which optimize their operational processes and strengthen their competitiveness. …”
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Efficient Solution of Fokker–Planck Equations in Two Dimensions by Donald Michael McFarland, Fei Ye, Chao Zong, Rui Zhu, Tao Han, Hangyu Fu, Lawrence A. Bergman, Huancai Lu

“…Nonetheless, FEA remains of interest for small systems—for example, for the generation of baseline performance data and reference solutions for the evaluation of machine learning-based methods. …”
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Benchmarking Machine Learning Algorithms for Bearing Fault Classification Using Vibration Data: A Deployment-Oriented Study by Prasanta Kumar Samal, R. Srinidhi, Pramod Kumar Malik, H. J. Manjunatha, Imran M. Jamadar

“…This study presents a comprehensive benchmarking of 33 machine learning (ML) algorithms for bearing fault classification using vibration data, with a focus on real-world deployment in condition monitoring systems. …”
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Artificial intelligence technology in the clinical analysis of a patient with a mental disorder (case report) by Dmitry I. Nozdrachev, Maksim P. Marachev, Pavel S. Evgenov, Natalia N. Petrova

“…This study was conducted to evaluate the capabilities of ChatGPT-4-based system in the clinical analysis of a patient with a mental disorder. The analysis involved comparing the results of the LLM's analysis of clinical data with psychiatrists’ clinical analysis. …”
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A Wind Turbines Dataset for South Africa: OpenStreetMap Data, Deep Learning Based Geo-Coordinate Correction and Capacity Analysis by Maximilian Kleebauer, Stefan Karamanski, Doron Callies, Martin Braun

“…Accurate and detailed spatial data on wind energy infrastructure is essential for renewable energy planning, grid integration, and system analysis. …”
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Modèle de généralisation de données urbaines à base de contraintes et d’autonomieUrban data generalization models using constraints and autonomy by Anne Ruas

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Method to apply temporal graph analysis on electronic patient record data to explore healthcare professional–patient interaction intensity: a cohort study by Neil J Sebire, Stephen D Marks, John Booth, Spiros Denaxas, Rebecca Pope, William A Bryant, Maria H Eriksson

“…Aim Interactions between patients and healthcare professionals (HCP) during hospital admissions are complex and difficult to interrogate using traditional analysis of electronic patient record (EPR) data. The objective of this study was to determine the feasibility of applying temporal network analytics to EPR data, focusing on HCP–patient interactions over time.Method Network (graph) analysis was applied to routinely collected structured data from an EPR for HCP interactions with individual patients during admissions for patients undergoing renal transplantation between May 2019 and June 2023. …”
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Perinatal midwifery care demand in a tertiary hospital: A time-series analysis by Luisa C. Eggenschwiler, Giusi Moffa, Valerie Smith, Michael Simon

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Simulation of potential suitable areas and analysis of natural reserves for four species of Taxus in southern China by Yuchen Zhou, Yuchen Zhou, Juhua Hu, Guanhong Xie, Yakui Shao, Mu Liu

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Enhancing customer retention with machine learning: A comparative analysis of ensemble models for accurate churn prediction by Payam Boozary, Sogand Sheykhan, Hamed GhorbanTanhaei, Cosimo Magazzino

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Distributed Statistical Analyses: A Scoping Review and Examples of Operational Frameworks Adapted to Health Analytics by Félix Camirand Lemyre, Simon Lévesque, Marie-Pier Domingue, Klaus Herrmann, Jean-François Ethier

“…ResultsFrom the review, 41 articles were selected and 6 approaches were extracted to conduct standard GLM-based statistical analysis. However, these approaches assumed evenly and identically distributed data across nodes. …”
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Intensification of the development of wells at the Zahidnohrestyshchensky field by M. A. Myslyuk, V. P. Kravets

“…The industrial material of well development using hydraulic fracturing at the Zahidnohrestyshchensky field, as well as some research results using the Baker Hughes Mayer Mfrac software, are systematized. The results of the analysis of industrial data on the development of wells from hydraulic fracturing at the Zahidnohrestyshchensky field are given. …”
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The Effect of Cash Flows on Firm Performance: A Research on BIST by İbrahim Kaya, Hakan Özçelik

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Assessing the Impact of Environmental Conditions on Reflectance Values in Inland Waters Using Multispectral UAS Imagery by Daniel Henrique Carneiro Salim, Gabriela Rabelo Andrade, Alexandre Flávio Assunção, Pedro Henrique de Menezes Cosme, Gabriel Pereira, Camila C. Amorim

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The Clear Sky Corridor: Insights Towards Aerosol Formation in Exoplanets Using an AI-based Survey of Exoplanet Atmospheres by Reza Ashtari, Kevin B. Stevenson, David Sing, Mercedes López-Morales, Munazza K. Alam, Nikolay K. Nikolov, Thomas M. Evans-Soma

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Malay translation and validation of modified checklist for autism in toddlers, revised with follow-up (M-CHAT-R/F) by R. A. Ariffin, R. A. Ariffin, J. Ismail, F. N. Abd Rahman, W. S. Wan Ismail, N. Ahmad, A. Abdul Ghafar, W. W. Yang, F. Masra, N. Kamal Nor

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Survey on the causal consistency of data by Junfeng TIAN, Yanbiao WANG, Xinfeng HE, Juntao ZHANG, Wanhe YANG, Ya’nan PANG

“…Causal consistency is one of the important projects to ensure data consistency in distributed storage.The current research focuses on causal consistency including optimization of clock method,design of the protocol and the optimization of operation transaction sequence.In the actual cloud environment,in addition to clock skew and query amplification,there are also insecure factors such as Trojans and untrusted third parties,which will destroy the causal consistency metadata stored by users,and the consistency of user’s operating results,even affect the availability of the storage environment.From the perspective of performance improvement and security in distributed storage,the clock synchronization,data replications,analysis and design of server protocol,related research progress of the serialization of operational affairs were introduced combined with consensus mechanisms such as blockchain.At the same time,their principlest,advantages,limitations,and different utilities in terms of security constraints were discussed,and then the future development trends and follow-up research directions were point out at last,which would provide a reference and help for the research in this field.…”
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MAMA MODEL APPROACH: ITS IMPLICATION TO COMMITMENT AND ORGANIZATIONAL CITEZENSHIP BEHAVIOR OF OPERATIONAL HOTEL EMPLOYEE by Ida Bagus Gede Udiyana, Parwoto Wignjohartoyo, Siti Sulasmi

“…Structural Equation Modeling (SEM) analysis technique was utilized to analyze the data in this research. …”
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Exploring Ototoxicity Associated with Capmatinib: Insights from a Real-World Data Analysis of the FDA Adverse Event Reporting System (FAERS) Database by Lin Y, Xu S, Deng M, Cao Y, Ding J, Lin T

“…Notably, unexpected SOC “Ear and labyrinth disorders” and PTs “hypoacusis” and “deafness” were identified, without being specified in the drug label.Conclusion: Our study identified unexpected ADRs associated with Capmatinib, with a focus on ototoxicity-related events, underscoring the need for enhanced clinical monitoring and further investigation into the underlying mechanisms.Keywords: Capmatinib, adverse drug reactions, data mining, pharmacovigilance, targeted drug…”
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Safety Status Monitoring of Operational Rock Bolts in Mining Roadways Under Mining-Induced Effects by Jianjun Dong, Wenduo Ding, Yu Qin, Ke Gao

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