Illuminating the impact of economic policy uncertainty, renewable energy, and economic growth on environmental sustainability by Mohammed Albassam, Muhammad Aslam, Azhar Ali Janjua

“…The study also estimates the Driscoll–Kraay standard errors, panel corrected standard errors (PCSE), and feasible generalized least squares (FGLS), and uses the Dumitrescu–Hurlin panel Granger causality test. …”
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Increasing the Efficiency of Blind Decoding of the Steganographic Method with Code Control of Additional Information Embedding by Sokolov A.V., Ihnatenko O.O., Balandina N.M.

“…The most significant result of the paper is a reduction in the number of decoding errors of the steganographic method with code control of the additional information embedding and blind decoding by 12.01% compared to the result known in the literature through a reasonable choice of codewords used to embed the additional information.…”
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PRECISION, STABILITY ANALYSIS OF THE CRANKSHAFT GRINDING TECHNOLOGICAL PROCESS by S. A. Kornilovich, B. S. Trofimov

“…The implementation of the algorithm for calculating the accuracy and stability for the technological process of grinding the crankshafts during their restoration would reduce the error value. Moreover, the reduction of errors during the process of crankshafts restoration would improve the quality of repair, thus prolonging the crankshaft serviceability.…”
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Robust Parameter Inversion and Subsidence Prediction for Probabilistic Integral Methods in Mining Areas by Xinjian Fang, Rui Yang, Mingfei Zhu, Jinling Duan, Shenshen Chi

“…A critical challenge in subsidence prediction lies in the sensitivity of existing probabilistic integral parameter inversion methods to gross errors, leading to unstable predictions and compromised reliability. …”
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Predictability Limit of the 2021 Pacific Northwest Heatwave From Deep‐Learning Sensitivity Analysis by P. Trent Vonich, Gregory J. Hakim

“…The advent of deep‐learning frameworks enables a new approach using backpropagation and gradient descent to iteratively optimize initial conditions, minimizing forecast errors. We apply this approach to the June 2021 Pacific Northwest heatwave using the GraphCast model, yielding over 90% reduction in 10‐day forecast errors over the Pacific Northwest. …”
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Learning to rank quantum circuits for hardware-optimized performance enhancement by Gavin S. Hartnett, Aaron Barbosa, Pranav S. Mundada, Michael Hush, Michael J. Biercuk, Yuval Baum

“…In particular, we find that our best model leads to a $1.8\times$ reduction in selection error when compared to the baseline approach and a $3.2\times$ reduction when compared to random selection. …”
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Assembly Quality Control Technologies in Forced Clamping and Compensation Processes for Large and Integrated Aeronautical Composite Structures by Feiyan Guo, Qiangwei Bao, Jialiang Liu, Xiliang Sha

“…In addition, the manufacturing errors and layer parameters of large composite parts in different regions are different, and they also have a lower forming accuracy. …”
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Generatively optimised compact 3-DoF spherical parallel manipulator with tightly integrated actuators by Kartikeya Walia, William Navaraj, Philip Breedon

“…Performance evaluation demonstrated high precision, with mean positional errors of 0.0291 mm–0.2778 mm and orientation errors between 0.0562° and 0.3561°. …”
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Two-Stage Stochastic Scheduling of Virtual Power Plant Based on Transactive Control by Meng Song, Xiaoyuan Xu, Ciwei Gao, Zheng Yan, Mohammad Shahidehpour

“…Specifically, a two-stage VPP scheduling framework based on multi-time scale coordinated control of TCLs is proposed to address forecast errors of variable RES power output. In the first stage (hour time scale), TCLs are controlled as virtual generators to mitigate forecast errors between hour-ahead and day-ahead RES power. …”
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Implementation of medication reconciliation at admission and discharge in Ministry of Defense Health Services hospitals: a multicentre study by Ahmed Kassem, Noura Alnowaiser, Yasser K Alotaibi, Dalia S Alghamdi, Mohammed Alhrasen, Alaa Alwagdani, Ayla Mohammad Tourkmani, Yasser Al Barakah

“…The medication reconciliation process can significantly lower the incidence of medication errors that may arise from an incomplete or inaccurate medication history as well as reductions in length of hospital stay, patients’ readmissions and lower healthcare costs.The quality improvement collaborative project was conducted as a pilot study in two hospitals, then implemented on a broader scale in 18 hospitals in Saudi Arabia. …”
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Investigation of the impact of token embeddings in Transformer-based models on short-term tropical cyclone track and intensity predictions by Yuan-Jiang Zeng, Yi-Qing Ni, Zheng-Wei Chen, Guang-Zhi Zeng, Jia-Yao Wang, Pak-Wai Chan

“…Comparative analysis with four recurrent neural network (RNN) models demonstrates the superiority of the refined Transformer models over RNNs: iTransformer reduces mean absolute error (MAE) and root mean square error (RMSE) by 29.55% and 25.80% (latitude), 50.31% and 46.18% (longitude), 8.71% and 9.98% (pressure), and 8.68% and 9.45% (wind speed), while TVFormer achieves MAE and RMSE reductions of 13.98% and 13.84% (latitude), 39.11% and 38.02% (longitude), 13.69% and 14.02% (pressure), and 12.84% and 12.94% (wind speed) on average. …”
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Improving TIGGE Precipitation Forecasts Using an SVR Ensemble Approach in the Huaihe River Basin by Chenkai Cai, Jianqun Wang, Zhijia Li

“…According to the demand of flood control safety, four different ensemble methods were adopted to reduce the forecast errors of the datasets, especially the errors of missing alarm (MA), which may be detrimental to reservoir regulation and flood control. …”
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Understanding the Role of Robotic Process Automation in Healthcare by Octavian Constantin IORDACHE, Sebastian Aurelian ŞTEFĂNIGĂ

“…The study follows a design and implementation approach, evaluating the system's efficiency in terms of error reduction, processing speed, and data integrity compared to manual processing methods. …”
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Unbalanced Magnetic Pull Calculation in Ironless Axial Flux Motors by Guoqing Zhu, Jian Luo

“…A similar phenomenon may occur between coils, introducing computational errors. To avoid these errors, the stator was selected as the computational target for unilateral axial force calculations. …”
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Patient Safety in Medication Nomenclature: Orthographic and Semantic Properties of International Nonproprietary Names. by Rachel Bryan, Jeffrey K Aronson, Pius ten Hacken, Alison Williams, Sue Jordan

“…<h4>Background</h4>Confusion between look-alike and sound-alike (LASA) medication names (such as mercaptamine and mercaptopurine) accounts for up to one in four medication errors, threatening patient safety. Error reduction strategies include computerized physician order entry interventions, and 'Tall Man' lettering. …”
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Impact of worklist selection on point-of-care ultrasound workflow – a quality improvement project by Jonathan Rowland, Jessa Baker, Natassia Dunn, Matthew Whited, Soheil Saadat, J. Christian Fox

“…Implementation also resulted in a 36% reduction in database studies containing an MRN data entry error. …”
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Enhancing inventory accuracy in dairy industries by Francisco Tiago Araújo Barbosa, Maria Silene Alexandre Leite, Mauro Sergio Carneiro Mascarenhas, Rogerio Santana Peruchi

“…The implemented methodologies led to a 36.63% reduction in inventory discrepancies, resulting in cost savings of R$124,540.56. …”
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Distributionally Robust Optimal Scheduling for Integrated Energy System Based on Dynamic Hydrogen Blending Strategy by Yixiao Xiao, Qianhua Xiao, Keyu Wang, Xiaohui Yang, Yan Zhang

“…Regarding tracking performance, intraday dynamic hydrogen blending further reduces upper- and lower-layer tracking errors by 4.25% and 2.37%, respectively. Furthermore, THB demonstrates its advantage in short-term energy regulation, effectively reducing tracking errors propagated from the upper layer MPC to the lower layer, resulting in a 2.43% reduction in the lower-layer model’s tracking errors.…”
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Influence of virtual reality simulation (excluding augmented reality) on endodontic learning experiences of undergraduate dental students: a systematic review by Muhammad Qasim Javed, Bilal Arjumand, Shaul Hameed Klarkodi, Sundus Atique, Ayman M. Abulhamael, Muhammad Sohail Zafar

“…Aim To systematically evaluate the effectiveness of virtual reality (VR) simulation in endodontic education among undergraduate dental students, with a specific focus on four key outcomes: procedural accuracy, enhancement of student confidence, reduction in procedural errors, and overall learner satisfaction. …”
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Ameliorate Patient Care and Safety with Technology by Nasim Karim

“…Patient safety is a discipline that emphasizes in through the prevention, reduction, reporting, and analysis of and other types of unnecessary harm that often lead to and even deaths by these medical errors. …”
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