Risk Factors, Causes, and Strategies for Reducing Medication Errors: A Narrative Review by Suha Nadem, Makarim M. Ali Hassan, Amena Lafeta Muttlaq Al-Shareefi

“…Also; some studies have evaluated the effectiveness of transitional care interventions and strategies in reducing medication errors and adverse drug events (ADEs). …”
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Optimizing Paediatric Paracetamol Dosing: Transitioning from Age-Based to Automated Weight-Based Calculations in Saudi Arabia by Amjad Alshammari, Almahaa Alshammari, Yosra AlJabran, Sharafaldeen Bin Nafisah

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Optimizing Paediatric Paracetamol Dosing: Transitioning from Age-Based to Automated Weight-Based Calculations in Saudi Arabia by Amjad Alshammari, Almahaa Alshammari, Yosra AlJabran, Sharafaldeen Bin Nafisah

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Time resolution of wind speed data introduces errors in wind power density assessment by Xinrong Yang, Yiheng Tao, Yubin Jin, Bin Ye, Fan Ye, Weili Duan, Rongrong Xu, Zhenzhong Zeng

“…Through analysis of wind speed data at nine resolutions, ranging from 10-minute to monthly intervals, we uncover significant errors introduced by coarser time resolutions in WPD calculations. …”
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The Design Method of Enhanced Unscented Kalman Filter Considering UT Transform Truncation Error by Ziran Luo, Chenglin Wen

“…To address this challenge, this paper proposes a novel estimation algorithm that explicitly accounts for the UT truncation error. We developed an improved UKF method that uses this error estimate. …”
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A Comprehensive Review of Mathematical Error Characterization and Mitigation Strategies in Terrestrial Laser Scanning by Mansoor Sabzali, Lloyd Pilgrim

“…In recent years, there has been an increasing transition from 1D point-based to 3D point-cloud-based data acquisition for monitoring applications and deformation analysis tasks. …”
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Fault localization for automatic train operation based on the adaptive error locating array algorithm by Yanpeng Zhang, Yuxiang Cao

“…Taking the Automatic Train Operation (ATO) scenario in intelligent high-speed rail as an example, a fault localization method based on the Adaptive Error Locating Array (AELA) algorithm is proposed. …”
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Global Trends and Evidence Gaps in Medical Errors Research: A Mixed-Methods Scientometrics Study by Angarita-Pacheco Y, Urbano López AD, Hernandez-Paez DA, Fiorillo-Moreno O, Picón-Jaimes YA, Beltrán Venegas T, Rueda Olivella AM, Lozada-Martinez ID, Bermúdez V

“…Thematic analysis revealed a transition from error reporting to mitigation strategies. …”
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Human factors considerations for critical maintenance tasks and their effect on the transition to digital documentation: an exploratory expert survey by David P. Aherne, Ingrid Hunt, Kyriakos I. Kourousis, Anna V. Chatzi

“…This article explores the views of aviation maintenance subject matter experts on errors affecting critical maintenance tasks and how views can inform transition to digitised documentation. …”
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Method for Correcting Error Due to Self-Heating of Resistance Temperature Detectors Suitable for Metrology in Industry 4.0 by Jiyun Li, Hongxing Pei, Orest Kochan, Chunzhi Wang, Roman Kochan, Alla Ivanyshyn

“…This study contributes to improving the accuracy of temperature measurements with a platinum resistance temperature detector (RTD) by proposing techniques to mitigate the error due to self-heating by the operating current. …”
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A Novel Mobile Localization Method for Distributed Sensor Network with Non-Line-of-Sight Error Mitigation by Nan Hu, Hao Wu, Chengdong Wu, Yuan Gao

“…The aim of the method is to mitigate the NLOS error and enhance the localization accuracy. The transition between the LOS and NLOS is described by two-state Markov model. …”
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Analysis on the Error Correction Method of 2m Temperature Hourly Forecast Based on CMA-GD Model by Jian LI, Qi FAN, Ying ZHANG, Xingsheng XU

“…The most significant meteorological component is temperature， and weather forecasting relies heavily on how accurately temperatures are predicted.This study uses a linear non-graded regression method to rectify the inaccuracies in temperature forecasts induced by terrain variation in the 2 m temperature hourly forecast product of the mesoscale numerical model （China Meteorological Administration Guangdong， CMA-GD）， and use the one-dimensional Kalman filtering method and the double-weighted moving average method to correct the results.The accuracy of the hourly distribution exhibits a diurnal variation feature， and the model terrain height deviation is linearly negatively connected with the temperature error mean value， according to the results.The daytime correction impact is superior than the nighttime correction effect following the ungraded regression method.recorrecting using the best time frame for mathematical correction techniques （15 days for the Kalman method and 20 days for the mean method）.It is discovered that the mean method's re-correction effect outperforms the Kalman methods， and that the correction effect is more pronounced during the day than at night.Summer and autumn have a better re-correction impact than winter and spring， with some negative correction effects in spring and little difference between the two techniques in the latter.In the former， the mean value method outperforms the Kalman method.There are eight stations with negative correction following the ungraded regression method， but no negative correction stations follow the mathematical correction methods.Therefore the northern region typically experiences a better corrective impact than the southern region.The fraction of correction magnitude for both MAE and ACC is positively correlated with a binomial connection.The terrain deviation correction method has the least slope and restricted correction effect， while the mean value approach has the best correlation and largest slope.An error assessment was conducted in the middle part of Poyang Lake Plain and the south Zhejiang-Fujian hilly region.The peak error value in the former was lower than that in the latter， and the correction amplitude at the peak was smaller.After correction， the MAE decreased by 25.1% and 19.8%， respectively.From November 2022 to January 2023， during frequent cold air intrusions， the MAE in the middle part of the Poyang Lake Plain decreased by 13.5%.With corrected forecast errors oscillating around the zero axis and a noticeable improvement in systematic positive errors， the model significantly overestimates the temperature forecast for high mountain areas.The temperature forecast errors oscillate with the smallest amplitude from August to October and the largest amplitude in spring and winter.Taking the warming process （May 1-6， 2022） and the strong cooling process （November 28-December 3， 2022） as examples， the corrected MAE decreased by 18.2% and 16.0%， respectively， indicating that the method has achieved stable correction effects during transitional weather.This composite method has good stability， strong forecast correction ability， easy to promote.…”
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A numerical method for parallel calculation of the positional characteristic for error correction in a polyalphabetic polynomial modular code by I.A. Kalmykov, A.A. Olenev, N.V. Kononova, T.A. Peleshenko, N.K. Chistousov

“…The bases of polyalphabetic modular codes are equal, independent, and serve as a basis for constructing arithmetic codes that detect and correct errors that occur in the calculation process. The article presents theoretical foundations for constructing a redundant PPMC capable of detecting and correcting computational errors. …”
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Clinical Algorithms and the Legacy of Race-Based Correction: Historical Errors, Contemporary Revisions and Equity-Oriented Methodologies for Epidemiologists by Horsfall LJ, Bondaronek P, Ive J, Poduval S

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Error Estimate for a Finite-Difference Crank–Nicolson–ADI Scheme for a Class of Nonlinear Parabolic Isotropic Systems by Chrysovalantis A. Sfyrakis, Markos Tsoukalas

“…To understand phase-transition processes like solidification, phase-field models are frequently employed. …”
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Public R&D and Growth: A Dynamic Panel Vector-Error-Correction Model Analysis for 14 OECD Countries by Thomas H. W. Ziesemer

“…Here, we build a panel vector-error-correction model with these long-term relations. …”
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column:Mid-Term Optimal Scheduling of Hydro-Wind-Solar Systems Addressing Extreme Drought and Renewable Energy Forecast Error by CHEN Cong, LIU Benxi, WANG Haidong, WANG Wenbin

“…This paper proposed a flexibility regulation capability assessment method for hydropower systems to address low output in mid-term extreme forecast errors of renewable energy under extreme drought conditions. …”
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Accelerated preprocessing in task of searching substrings in a string by A. V. Mazurenko, N. V. Boldyrikhin

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Enhanced Real-Time Onboard Orbit Determination of LEO Satellites Using GPS Navigation Solutions with Signal Transit Time Correction by Daero Lee, Soon Sik Hwang

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Modeling Burst Error Processes in ITU-T G.hnem-Based PLC Systems: Noisy Indoor Environment Analysis Using a Generative Semi-Hidden Markov Model by Akintunde Oluremi Iyiola, Theo G. Swart, Ayokunle Damilola Familua, Thokozani Shongwe

“…Using this experimental setup, we generated and analyzed a dataset of 200,000 transmitted bits, capturing the characteristics of burst errors under realistic indoor noise conditions. A comparative analysis of reference error sequences and SHMM simulations demonstrates the model’s ability to accurately replicate NB-PLC-specific error dynamics, including error clustering and state transitions. …”
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