A Data Centric HitL Framework for Conducting aSsystematic Error Analysis of NLP Datasets using Explainable AI by Ahmed El-Sayed, Aly Nasr, Youssef Mohamed, Ahmed Alaaeldin, Mohab Ali, Omar Salah, Abdullatif Khalid, Shaimaa Lazem

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Error analysis and correction method of temperature and humidity profiles in the Three Gorges ground-based remote sensing vertical observation system by Ming ZHANG, Guirong XU, Yu DU, Dan YE

“…Then a linear regression correction method based on radiosonde data after the regrouping of the 83 height layers for temperature and humidity profile of the microwave radiometer was proposed. Finally, the applicability of the correction method by using the accuracy changes before and after the correction was evaluated using the observation from a rainy and snowy weather process. …”
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Research on Multi-Parameter Error Model of Backcalculated Modulus Using Abaqus Finite Element Batch Modeling Based on Python Language by Chunlong Xiong, Jiangmiao Yu, Xiaoning Zhang, Chuanxi Luo

“…The error in modulus backcalculation is a crucial component in validating the rationality and reliability of results for engineering applications. …”
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InSAR Detection of Slow Ground Deformation: Taking Advantage of Sentinel-1 Time Series Length in Reducing Error Sources by Machel Higgins, Shimon Wdowinski

“…While analytical methods, weather models, and data exist to mitigate tropospheric error, most of these techniques are unsuitable for all InSAR applications (e.g., complex tropospheric mixing in the tropics) or are deficient in spatial or temporal resolution. …”
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Enhancing medication error reporting through interprofessional education: analysis of Medwatch reporting accuracy and completion rates between teams and individuals by Aline H. Saad, Rehab Bondok, Farah Sayeg, Brian J. Barnes, Caitlin E. Rukat, Candice Garwood, Diane L. Levine

“…Clinical trial number Not applicable.…”
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Study of Multivariate Background Error Characteristics of Convective System on Plateau Slope and Typhoon System Based on Convective-Scale Ensemble Samples by Wanli ZHANG, Yuanbing WANG, Rou LI, Yaodeng CHEN, Deming MENG, Xinyao QIAN, Xili JIN

“…The effective assimilation of observation data in the slope areas of the Qinghai-Xizang （Tibetan） Plateau and typhoon systems has a significant impact on the capabilities of weather forecasting in China， with background error being a key factor affecting the performance of data assimilation.The purpose of this study is to gain a deeper understanding of the characteristics of background errors in conventional control variables and hydrometeor control variables within convective systems on the slopes of the Qinghai-Xizang （Tibetan） Plateau and typhoon systems， so as to develop the data assimilation scheme which is applicable to the convective systems on the slopes of the Qinghai-Xizang （Tibetan） Plateau and typhoon systems.This study employs the Ensemble Transform Kalman Filter （ETKF） and the hybrid Ensemble-Variational data assimilation method to update the ensemble perturbation and the ensemble mean respectively to produce convective-scale ensemble forecast samples with 80 ensemble members and 4-kilometers resolution.This study focuses on cases of convective weather from the northeast slope of the Qinghai-Xizang （Tibetan） Plateau in mid-August 2022 and Typhoon "Meihua"， the 12th typhoon of 2022.Multivariate background error covariances， including those for multiphase hydrometeor and vertical velocity， were computed through physical transformation， vertical transformation， and horizontal transformation.Analyses of the spatial error characteristics， including the eigenvalues， eigenvectors， and characteristic length scales were conducted， and the results of the analyses indicate that background errors are more pronounced in the case of convective system on the slope of the Qinghai-Xizang （Tibetan） Plateau in comparison to the typhoon system.At the same time， the simulation of hydrometeor variables and vertical velocity is less precise in the case of convective system on the slope of the Qinghai-Xizang （Tibetan） Plateau compared to the typhoon system.In the context of data assimilation for these comparable convective systems， the analysis tends to be more aligned with observations and less so with the background， this feature highlights the necessity for high-quality and comprehensive observations in the slope areas of the Qinghai-Xizang （Tibetan） Plateau.In addition， the atmospheric characteristics and the horizontal scale of hydrometeor variables and vertical velocity in the case of convective system on the slope of the Qinghai-Xizang （Tibetan） Plateau display smaller and more localized features compared with those observed in the typhoon system.Moreover， hydrometeor control variables and the vertical velocity exhibit smaller horizontal scales and more pronounced localized characteristics compared to conventional control variables， therefore potentially leading to the influence range of observations and information related to hydrometeor control variables in the slope areas of the Qinghai-Xizang （Tibetan） Plateau relatively limited in the context of the subsequent assimilation analysis.…”
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Enhancing the Scientific Validity of Methodological Support in Forensic Science: An Important International Trend by Svetlana A. Smirnova, Aleksandr I. Usov

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REMARKS AND CORRECTIONS TO THE STANDARD ISO 6336 by Miloš NĚMČEK

“…There were some later amendments, but several typographical and other errors. These can cause some misunderstandings during applications of the standard and are irritating for its users. …”
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Amazigh spell checker using Damerau-Levenshtein algorithm and N-gram by Youness Chaabi, Fadoua Ataa Allah

“…Automatic correction of lexical errors is one of the applications of NLP, which aims to detect errors in the text and suggest possible corrections based on computer and linguistic models. …”
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Pragmatic Failures in Intercultural Communication: Evidence from Jordan by Абдель Рахман Алтахіне, Марва Абу Хашиш, Дана Хамайде

“…This paper investigates the pragmatic errors of Jordanian EFL learners from a cultural perspective on communication. …”
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Evaluation of specimen rejection rates in the preanalytical phase and nurses’ experiences: a mixed design study by Yasemin Güner, Elif Kılıç Güner, Melek Üçüncüoğlu, Harun Yüksel

“…Abstract Background The preanalytical phase is considered the most error-prone part of laboratory testing and significantly contributes to medical errors. …”
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Adaptive control and state error prediction of flexible manipulators using radial basis function neural network and dynamic surface control method. by Yang Zhang, Liang Zhao

“…We have also developed an adaptive law that updates neural network weights and system parameters in real-time, ensuring the system's adaptability to dynamic changes. The application of the Lyapunov method ensures that all signals within the closed-loop system remain semi-globally uniformly bounded, significantly reducing tracking errors. …”
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On web-applications usability testing by Boris M. Basok, Alena N. Rozhanskaya, Sergey L. Frenkel

“…The obtained experimental data showed that, despite testing the usability of software at the development stages, some errors in the operation of web applications remain undetected. …”
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Accelerometer application mathematical model by Vincas Benevičius, Narimantas Listopadskis

“…Final results showed that such movement trace is possible and may be applicable. The results also showed origins for errors which according to the results, are quite high globally. …”
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Factorial Numbers and Their Practical Applications by Oleksiy Borysenko, Oleksii Horiachev, Svitlana Matsenko, Anatolii Novhorodtsev, Olga Berezhna, Vjaceslavs Bobrovs, Toms Salgals, Jurgis Porins

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Integrated Optics Modules Based Proposal for Quantum Information Processing, Teleportation, QKD, and Quantum Error Correction Employing Photon Angular Momentum by Ivan B. Djordjevic

“…The goal of this paper is to describe photon angular momentum based deterministic universal quantum qudit gates, namely, {generalized-X, generalized-Z, generalized-CNOT} qudit gates, and different quantum modules of importance for various applications, including (fault-tolerant) quantum computing, teleportation, QKD, and quantum error correction. …”
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A Coupling Error Compensation Approach Concerning Constrained Space Coordinate Precision of a Heavy-Load Longitudinal and Transversal Swing Table by Manxian Liu, Rui Bao, Shuo Li, Liang Ji, Suozhuang Li, Xiaoqiang Yan, Wei Li

“…In this paper, an accurate error compensation method based on geometric parameter correction and process optimization is proposed for the problem of coupling error in a heavy-load longitudinal and transversal swing table (HLTST) under space constraints, which makes it difficult to control the position efficiently and accurately. …”
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Deep learning for vision screening in resource-limited settings: development of multi-branch CNN for refractive error detection based on smartphone image by Muhammad Syauqie, Muhammad Syauqie, Harry Patria, Sutanto Priyo Hastono, Kemal Nazaruddin Siregar, Nila Djuwita Farieda Moeloek

“…The model was designed to classify refractive errors into four categories: significant myopia, significant hypermetropia, insignificant refractive error, and not applicable to classified. …”
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Validation of Sea Surface Temperature From GK-2A Geostationary Satellite and Error Reduction Considering Impact of Satellite Zenith Angle by Kyung-Ae Park, Hye-Jin Woo, Stephane Saux Picart, Anne O'Carroll, Eunha Sohn, HuiTae Joo, Joon-Soo Lee, Joon-Yong Yang

“…The study emphasizes the critical role of the SZA in contributing to SST errors and highlights the need for continuous verification and improvement of SST accuracy before its utilization. …”
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Predicting errors in accident hotspots and investigating satiotemporal, weather, and behavioral factors using interpretable machine learning: An analysis of telematics big data. by Ali Golestani, Nazila Rezaei, Mohammad-Reza Malekpour, Naser Ahmadi, Seyed Mohammad-Navid Ataei, Sepehr Khosravi, Ayyoob Jafari, Saeid Shahraz, Farshad Farzadfar

“…While machine learning (ML) has been increasingly used to predict RTAs, the lack of interpretability limits its applicability in policymaking. This study aimed to utilize interpretable ML models to predict the occurrence of errors in road accident hotspots using telematics data in Iran and interpret the most influential predictors.…”
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