LPRLC: Linear predictive run length coding to improve energy consumption of wireless body area networks by Mahdieh Hajiloo Vakil, Zahra Shirmohammadi

“…First- Linear Predictive Coding (LPC) for data prediction, Second- Error calculation, Third- Error coding with Run Length Encoding (RLE) for data compression. …”
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Assessing the impact of future altimeter constellations in the Met Office global ocean forecasting system by R. R. King, M. J. Martin, L. Gaultier, J. Waters, C. Ubelmann, C. Donlon

“…</p> <p>Here we show that an altimeter constellation of 12 nadir altimeters produces greater reductions in the errors for SSH, surface currents, temperature, and salinity fields compared to a constellation of 2 wide-swath altimeters. …”
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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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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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Water quality prediction model based on improved long short-term memory neural network and empirical mode decomposition by Feng Lin, Xu Li, Yang Su, Jun Yan

“…The improved model achieved a 31% reduction in mean absolute error and a 50% reduction in mean squared error for different ammonia nitrogen concentrations. …”
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DIB‐BOT: An Open‐Source Hardware Approach for Plate‐Integrated Droplet Interface Bilayer Deposition by Alexander F Mason, Shelley FJ Wickham, Matthew AB Baker

“…Compared to manual fabrication, DIB‐BOT shows a 10‐fold reduction in droplet volume error, a threefold reduction in positional error, and 100% droplet yield. …”
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Research and application of the algorithm editing method for improving active noise control performance by Haisheng Song, Yahui Dong, Na Yang, Zhiyong Chen

“…The results show a noteworthy enhancement in convergence speed and reduction of steady-state error, attained without a simultaneous escalation in computational complexity. …”
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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

“… Goal: The goal is to analyze the application of Lean Six Sigma and DMAIC in the inventory management of a dairy industry, aiming to optimize inventory accuracy, reduce picking errors, and enhance OTIF performance, thereby improving overall operational efficiency. …”
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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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Enhancing 4G/LTE Network Path Loss Prediction with PSO-GWO Hybrid Approach by Messaoud Garah, Nabil Boukhennoufa

“…The performance of each optimization method is evaluated using various error metrics, including Root Mean Square Error (RMSE), Mean Absolute Error (MAE), Standard Deviation (STD), Mean Error (ME), and Mean Absolute Percentage Error (MAPE). …”
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DESIGN AND PERFORMANCE ANALYSIS OF A TWO-STAGE REDUCED MICRO-MOTION SYSTEM WITHOUT ADDITIONAL MOTION

“…In order to achieve a smaller reduction ratio and thus obtain a flexible motion space with higher motion precision,a micro-motion system composed of a two-stage reduction micro-motion mechanism without additional motion and a piezoelectric ceramic actuator was designed,and its driving performance,motion performance and dynamic performance were studied.Based on the principle of flexible hinge lever and the principle of additional motion balance,a two-stage reduction micro-motion mechanism without additional motion was designed,which could realise the precision reduction of input displacement;a piezoelectric ceramic actuator was used to drive the two-stage reduction micro-motion mechanism to form a two-stage reduction micro-motion system;the finite element method was used to complete the analysis of the system's driving performance,kinematic performance and dynamics,and the experimental method to complete the analysis of the system's driving performance and dynamics.The analysis results show that the micro-motion system drive has the advantages of high linearity,small error,etc.…”
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Design and Simulation of Full State Feedback Controller for DC Motor by K. Love, C. Kriger, T. Nomzamo

“…A reduction in rise time and steady state-error proves that a FSFB controller with integral control performs better than the original closed loop system without a controller. …”
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Multi-feature stock price prediction by LSTM networks based on VMD and TMFG by Zhixin Zhang, Qingyang Liu, Yanrong Hu, Hongjiu Liu

“…(sh600009), the VMD–TMFG–LSTM model achieves a 69.76% reduction in Root Mean Squared Error (RMSE), a 71.41% reduction in Mean Absolute Error (MAE), a 46.28% reduction in runtime, and an improvement of 0.2184 in R-squared (R2), indicating significantly higher prediction accuracy. …”
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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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A Deep Learning Method for Improving Community Multiscale Air Quality Forecast: Bias Correction, Event Detection, and Temporal Pattern Alignment by Ioannis Stergiou, Nektaria Traka, Dimitrios Melas, Efthimios Tagaris, Rafaella-Eleni P. Sotiropoulou

“…Performance evaluation shows notable improvements, with a Root Mean Square Error (RMSE) reduction ranging from 34.11% to 71.63%. …”
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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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Advancing sustainable renewable energy: XGBoost algorithm for the prediction of water yield in hemispherical solar stills by Salwa Ahmad Sarow, Hasan Abbas Flayyih, Maryam Bazerkan, Luttfi A. Al-Haddad, Zainab T. Al-Sharify, Ahmed Ali Farhan Ogaili

“…The current work extends these experimental insights through XG-Boost to predict productivity, employing evaluation metrics such as Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Coefficient of Variation of the Root Mean Squared Error (CVRMSE), and the determination coefficient (R2), with resulted values denoted as 0.43708%, 0.95879%, 0.2780%, 0.05290%, 12.2078%, and 0.88144% respectively. …”
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Advanced vehicle-to-grid control: enhancing energy exchange and power quality with grey wolf optimized bidirectional converters in EV charging infrastructure by Nagarajan Munusamy, Indragandhi Vairavasundaram

“…The proposed approach reduces average error reduction by 15%, grid current Total Harmonic Distortion (THD) by 20%, and DC link voltage surge during load transients from 12.5% to 2.3% compared to typical PI controllers. …”
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Effect of model’s skill level and frequency of feedback on learning of complex serial aiming task by Gh. Lotfi, F. Hatami, F. Zivari

“…Conclusion: According to Fitz’s speed-accuracy trade-off law, the results are justified as following: since the expert model observers focus on error reduction and increased accuracy in executing complex tasks, their movement time gets longer. …”
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Adaptive Spatial Modulation Based Visible Light Communications: SER Analysis and Optimization by Jin-Yuan Wang, Jian-Xia Zhu, Sheng-Hong Lin, Jun-Bo Wang

“…This paper investigates the average symbol error rate (SER) for the VLC using an adaptive spatial modulation (ASM). …”
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