Pharmacokinetic study of 14-(3-methylbenzyl)matrine and 14-(4-methylbenzyl)matrine in rat plasma using liquid chromatography-tandem mass spectrometry. by Minjie Jiang, Lisheng Wang, Shulin Huang, Liba Xu, Chao Hu, Weizhe Jiang

“…The intra-day and inter-day relative standard deviations (RSDs) were less than 15%, and all relative errors (REs) were within 15%. The proposed method enables the unambiguous identification and quantification of these two compounds in vivo. …”
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A novel wall interference correction method for airfoil by Binbin Wei, Yongwei Gao, Ruiyang Qiao, Shuling Hu

“…The improved wall pressure signature method (WPSM), an enhanced version of the WPSM, is developed to address the velocity disparities and systematic errors in pressure measurements between with and without model conditions. …”
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Navigating from a Depth Image Converted into Sound by Chloé Stoll, Richard Palluel-Germain, Vincent Fristot, Denis Pellerin, David Alleysson, Christian Graff

“…Based on travel time and errors, performance improved from one week to the next. …”
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A Computational Investigation of the “Equivalent Substrates” in the Evaporation of Sessile Droplets by Longfei Xu, Xuefeng Xu

“…It is found that different combinations of substrate thickness and thermal conductivity exhibit consistent effects on droplet evaporation, with minimal relative errors in evaporation rate and total heat transfer at the solid–liquid interface. …”
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Estimating Site Characteristic Parameters of the Gobi Desert Region Using Seismic Noise by Ya Li, Shengyang Chen, Jie Lei

“…The results showed that the equation for calculating H in this paper is highly reliable, with relative errors less than 30% compared to other researchers. …”
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The Influence of the working fluid and Regenerator material on the Performance of the types Gamma Stirling Engine by yahya abbas, Ali A. F. Al-Hamadani

“… In concentrated solar energy applications, the Stirling engine is the optimum option for extracting mechanical work. …”
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H-DSAE: a hybrid technique to recognize heart disease by K. Uma Maheswari, A. Valarmathi

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Operational Energy Consumption Map for Urban Electric Buses: Case Study for Warsaw by Maciej Kozłowski, Andrzej Czerepicki

“…Current approaches often rely on overly general assumptions, leading to considerable errors in specific applications or, conversely, overly specific measurements that limit generalisability. …”
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Self-adaptive evolutionary neural networks for high-precision short-term electric load forecasting by Muhammad Abbas, Yanbo Che, Sarmad Maqsood, Muhammad Zain Yousaf, Mustafa Abdullah, Wajid Khan, Saqib Khalid, Mohit Bajaj, Mohammad Shabaz

“…Experimental results demonstrate that SADE-KAN reduces mean absolute percentage error (MAPE) by up to 35% and root mean squared error (RMSE) by 38% compared to MLP models, while requiring 35% fewer learnable parameters. …”
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Slave System Dimension Expansion Approach for Robust Synchronization of Chaotic Systems with Unknown Phase Difference by Huanhuan Mai, Weiwei Zhang, Yapeng Zhao

“…However, unknown parameter error value has always existed in real problems. …”
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LSTM model to predict missing data of dissolved oxygen in land-based aquaculture farm by Sang-Yeon Lee, Deuk-Young Jeong, Jinseo Choi, Seng-Kyoun Jo, Dae-Heon Park, Jun-Gyu Kim

“…The LSTM model used to predict DO levels in the fish tank has an error of approximately 3.25%. The proposed LSTM model trained on DO data has a high applicability and may support water quality control in aquaculture farms.…”
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Proposing Robust LAD-Atan Penalty of Regression Model Estimation for High Dimensional Data by Omar Abdulmohsin Ali, Ali Hameed Yousef

“…However, the Atan penalty is very sensitive to outliers in response to variables or heavy-tailed error distribution. While the least absolute deviation is a good method to get robustness in regression estimation. …”
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A Meta-Learning Approach for Estimating Heterogeneous Treatment Effects Under Hölder Continuity by Zhihao Zhao, Congyang Zhou

“…We establish non-asymptotic error bounds for RXlearner under a continuity classification criterion, specifically assuming that the response function satisfies Hölder continuity. …”
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Study on the influence mechanism and correlation model of rockfall parameters on indentation morphology by LI Hao, WANG Dong-po, YAN Shuai-xing, LI Wei, CHEN Hui, HE Si-ming

“…The results show that the maximum error is within 20%, demonstrating the reliability and feasibility of inverting rockfall movement parameters based on in - situ impact indentations. …”
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Numerical analysis of heat and mass transfer in eyring-powell fluid employing python with convective boundary conditions by Chenxu Duan, Muflih Alhazmi, Zahoor Shah, Hamza iqbal, Maryam Jawaid, Mhassen E.E. Dalam, Mohammed M.A. Almazah

“…Using a Python-based boundary value problem (BVP) solver allows us to obtain accurate numerical solutions while achieving computational efficiency and automatic error control. This approach delivers enhanced accuracy and efficiency through Python-based solvers for boundary value problems that enable automatic error control as well as efficient computation and flexible handling of fluid behavior complexity. …”
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Comparison of Two System Identification Approaches for a Four-Wheel Differential Robot Based on Velocity Command Execution by Diego Guffanti, Moisés Filiberto Mora Murillo, Marco Alejandro Hinojosa, Santiago Bustamante Sanchez, Javier Oswaldo Obregón Gutiérrez, Nelson Gutiérrez, Miguel Sánchez

“…Similarly, the maximum position error averaged 0.522 m for MBM and 0.710 m for SM, confirming that MBM is more accurate and consistent in position tracking. …”
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A secure and efficient user selection scheme in vehicular crowdsensing by Min Zhang, Qing Ye, Zhimin Yuan, Kaihuan Deng

“…The SEUS-VCS scheme has advantages in reducing loss function (Loss), Mean Square Error (MSE), and Mean Absolute Error (MAE), and the predicted results match the true data very well. …”
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Symmetrized Neural Network Operators in Fractional Calculus: Caputo Derivatives, Asymptotic Analysis, and the Voronovskaya–Santos–Sales Theorem by Rômulo Damasclin Chaves dos Santos, Jorge Henrique de Oliveira Sales, Gislan Silveira Santos

“…A central theoretical contribution is the derivation of the <i>Voronovskaya–Santos–Sales Theorem,</i> which extends classical asymptotic expansions to the fractional domain, providing rigorous error bounds and normalized remainder terms governed by Caputo derivatives. …”
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Impact of TAK-003 on epidemiologic, economic and quality-of-life burden of dengue: comparison of the results from a dynamic transmission model and a static model with a dynamic com... by Elizaveta Kharitonova, Dr Jing Shen, Anna Tytula, Justyna Zawieja, Yaneth Gil Rojas, Samuel Aballea, Riona Hanley

“…The goodness of fit was assessed by visual assessment and two formal goodness-of-fit metrics (mean absolute error and root mean squared error). Results: The combination of 2-month-cycle and 2-month-lag was found to provide the closest fit with the dynamic model for all timeframes between 1–30 years, on outcomes of predicted cases averted, costs savings and disability-adjusted-life-years (DALYs) averted. …”
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Forecasting Average Daily and Peak Electrical Load Based on Average Monthly Electricity Consumption Data by Saidjon Tavarov, Aleksandr Sidorov, Natalia Glotova

“…The decrease in mean absolute error due to clustering was 0.52 MW (57%). The use of meteorological conditions allowed the forecast error to be reduced by 0.22 MW (27%). …”
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