Ethical considerations and robustness of artificial neural networks in medical image analysis under data corruption by Michael Okunev, Doron Handelman, Amir Handelman

“…In this work, we investigate the combination of several key parameters on the performance of artificial neural networks (ANNs) used for medical image analysis in the presence of data corruption or errors. …”
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The Transformative Potential of Large Language Models in Mining Electronic Health Records Data: Content Analysis by Amadeo Jesus Wals Zurita, Hector Miras del Rio, Nerea Ugarte Ruiz de Aguirre, Cristina Nebrera Navarro, Maria Rubio Jimenez, David Muñoz Carmona, Carlos Miguez Sanchez

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Plasma cell tumors of the head and neck. Analysis of diagnostic difficulties based on literature and own data by F. Sh. Kamolova, L. Yu. Grivtsova, S. M. Samborskiy, V. B. Larionova, Yu. E. Ryabukhina, P. A. Zeynalova, A. M. Mudunov

“…Given the rare occurrence of this nosological form, the frequency of diagnostic errors is quite high, which dictates the need for a thorough description of each head and neck EP case.Objective of the study: analysis of possible difficulties and reasons for incorrect interpretation of diagnostic data, and treatment for head and neck EP.Materials and methods. …”
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Comparison of aggregate and individual participant data approaches to meta-analysis of randomised trials: An observational study. by Jayne F Tierney, David J Fisher, Sarah Burdett, Lesley A Stewart, Mahesh K B Parmar

“…We extracted or estimated hazard ratios (HRs) and standard errors (SEs) for survival from trial reports and compared these with IPD equivalents at both the trial and meta-analysis level. …”
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GAMYBINĖS LINIJOS, NAUDOJANT DUOMENŲ SURINKIMO SISTEMĄ, EFEKTYVUMO TYRIMAS by Donatas Dervinis

“…This article presents a methodology for evaluating the efficiency of a conveyor-based production line in the textile industry using an automated data collection system. The primary goal of the study is to assess production performance through real-time data acquisition and analysis. …”
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Exploring medical error taxonomies and human factors in simulation-based healthcare education. by Tamara Skrisovska, Daniel Schwarz, Martina Kosinova, Petr Stourac

“…The study highlights the importance of simulation-based education in healthcare for error management and analysis.…”
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Frame importance valuation cognition based error control mechanism on cognitive networks by De-guang LE, Yong JIN, Dong-hui GUO, Jin-yi CHANG

“…A cognitive error control mechanism for cognitive networks,called CEC was proposed.CEC was based on the cognition of importance of data frames’hops and types,which could select a best error control mechanism to improve the communication performance in cognitive networks.Besides,the energy efficiency model of cognitive networks was built.The mathematical analysis and simulation comparisons show that the proposed CEC mechanism achieves better performance in terms of communication reliability and energy efficiency in cognitive networks.…”
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Measurements of Gun Tube Motion and Muzzle Pointing Error of Main Battle Tanks by Peter L. McCall

“…New test methods, instrumentation, data analysis procedures, and stabilization control design resulted through this series of investigations into the dynamic tube flexure error source. …”
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Application of Machine Tool Thermal Error Compensation in Digital Twin-based System by MA Chi, LI Minging, LIU Jialan, HE Jialong, HUA Chunlei, WANG Liang

“…A novel prediction model utilizing a strong-convergence chimp optimization algorithm combined with a minimal gated unit-attention mechanism is proposed to characterize the dependence of the current thermal error on the historical thermal informant data, forming strong-convergence chimp optimization algorithm-minimal gated unit-attention ( SC-ChOA-MGU-A) model,ensuring data integrity. …”
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Evaluation of the Effect of Educational Intervention on the Error of Insurance Documents on Deductions in Hospitalization Records by Mahmood Mousavi, Zohreh Karimiankakolaki

“…Data analysis was fulfilled using SPSS21 software. …”
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Enhancing estimation efficiency with proposed estimator: A comparative analysis of Poisson regression-based mean estimators

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An Examination of Concord Errors in the Academic Writings of Students at a Technical University in Ghana by Gifty Serwah Mensah, Ernest Kwesi Klu, Ndishunwani Vincent Demana, Thifhelimbilu Emmanuel Sikitime

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Minimax rates and adaptivity in combining experimental and observational data by Chen Shuxiao, Li Sai, Zhang Bo, Ye Ting

“…In this article, we theoretically characterize the potential efficiency gain from integrating observational data into the RCT-based analysis from a minimax perspective. …”
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A clustering approach for error beacon filtering in underwater wireless sensor networks by Linfeng Liu, Jingli Du, Dongyue Guo

“…Therefore, the unknown nodes will be positioned with larger error, which abases the value of data collected by sensor nodes. …”
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Analysis of the Impact of Global Oil Prices On GDP (on the Example of the Azerbaijan Republic) by N. S. Ayyubova

“…The study of the dynamics of the functioning of time series based on the initial data revealed their non-stationarity, which does not allow creating a “qualitative” predictive model. …”
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Machine Learning to Simulate Quantum Computing System Errors from Physical Observations by Jie Feng, Xingchen Zhang, Guanhao Feng, Hong-Hao Zhang

“…These methods, trained on Monte Carlo simulation data, showed proficiency in predicting the evolution of error probabilities in the quantum system. …”
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Letter Form as a Constraint for Errors in Neglect Dyslexia and Letter Position Dyslexia by Naama Friedmann, Aviah Gvion

“…These data show that early visuo-orthographic analysis is sensitive to final letter form and that final letter form constrains errors in peripheral dyslexia.…”
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The Effects of Correlated Data and Correction Procedures for F-Test in Unbalanced Two Way Model by Ivan Kababchi

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MOIRA-UNIMORE Bearing Data Set for Independent Cart Systems by Abdul Jabbar, Marco Cocconcelli, Gianluca D’Elia, Davide Borghi, Luca Capelli, Jacopo Cavalaglio Camargo Molano, Matteo Strozzi, Riccardo Rubini

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Modeling solar power plants with daily data using genetic programming and equivalent circuit by Alireza Reisi, Abbas‐Ali Zamani, Seyyed Masoud Barakati

“…However, this modeling method relies on data provided by the solar panel manufacturer, leading to increased modeling error over time as coefficients change. …”
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