The effect of transcranial random noise stimulation on the movement time and components of noise, co-variation, and tolerance in a perceptual-motor task by Fatemeh Salehi, Mohammadreza Doustan, Esmaeel Saemi

“…Moreover, the results indicate that tRNS elicited a significant reduction in both spatial error and movement execution time, (p ≤ 0.05). …”
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A Trajectory Prediction Method for High-Speed and High-Maneuverability Glide Vehicle Based on Mid-Terminal Guidance Handover Point Identification by Ma Kangkang, Zhao Liangyu, Hu Xingzhi, Li Mingjie

“…Compared to directly utilizing a deep learning mo-del for prediction, the proposed prediction method demonstrates a reduction of 37.61% in average prediction error and 37.34% in maximum prediction error within a prediction time of 240 s.…”
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On the use of kolmogorov–arnold networks for adapting wind numerical weather forecasts with explainability and interpretability: application to madeira international airport by Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias

“…Using the Kolmogorov-Arnold Network model led to a substantial reduction in wind speed and direction forecast errors, with a performance that reached a 48.5% improvement to the Global Forecast System 3 h nowcast, considering the mean squared error. …”
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A building operational carbon emissions database of 362 Chinese cities: Construction process and spatiotemporal characteristic analysis by Qi Wang, Xinyu Jia, Yang Zhao, Hao Zhou, Xinghui Zhang, Borong Lin, Cong Zhang

“…This study provides a basis for future carbon reduction policies tailored to city characteristics.…”
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The Impact of Electronic Health Records on Healthcare: Global Benefits and Challenges by Iuliana ŞOLDĂNESCU, Andrei LOBIUC, Mihai DIMIAN

“…Examples of good practices in the use and uptake of electronic health records have shown significant progress in reducing medical errors, continuous monitoring of patients with chronic diseases, collaboration between professionals, and reduced costs. …”
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Leveraging Deep Learning for Robust Structural Damage Detection and Classification: A Transfer Learning Approach via CNN by Burak Duran, Saeed Eftekhar Azam, Masoud Sanayei

“…This study highlights the integration of simulation data into the Deep Learning-based SHM framework, demonstrating that a generalized model created via Joint Learning utilizing FEM can potentially reduce the consequences of modeling errors and operational uncertainties unavoidable in real-world applications.…”
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Torsional Vibration Suppression in Multi-Condition Electric Propulsion Systems Through Harmonic Current Modulation by Hanjie Jia, Guanghong Hu, Xiangyang Xu, Dong Liang, Changzhao Liu

“…The efficacy of the proposed harmonic current modulation is verified through simulations, showing an effective reduction of torsional vibrations in the EPS under both steady-state and non-steady-state conditions. …”
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The Impact of Building Level of Detail Modelling Strategies: Insights into Building and Urban Energy Modelling by Daniel Bishop, Mahdi Mohkam, Baxter L. M. Williams, Wentao Wu, Larry Bellamy

“…Conversely, modest error reductions can be obtained via simple model improvements, such as the inclusion of eaves and window border shading. …”
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Continuous-flow phosphate removal using Cry-Ca-COS Monolith: Insights from dynamic adsorption modeling by Chanadda Phawachalotorn, Worawit Wongniramaikul, Satabodee Kaewnoo, Aree Choodum

“…An analysis of comprehensive errors was also conducted to assess the adequacy and precision of the model equations.…”
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Parenteral administration medicines: recommendations of preparation, administration and stability by M. Gaspar Carreño, F. Torrico Martín, L. Novajarque Sala, M. Batista Cruz, P. Ribeiro Gonçalves, B. Porta Oltra, J. C. Sánchez Santos

“…The information provided will contribute to a reduction of errors associated with the preparation and administration of MAP.…”
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Depressive symptoms and overwork among physicians employed at a university hospital in Japan by Toru Maruyama

“…Introduction: The excessive workload of Japanese hospital physicians is a serious social problem due to effects on their mental health status, as well as the potential for medical errors and lawsuits. The extent of overwork among resident physicians employed at national university hospitals in Japan is unknown and needs to be investigated. …”
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Deep learning-based approach for extracting inflorescence morphology features in cut chrysanthemum by Shanpeng Xu, Jingshan Lu, Yin Wu, Huahao Liu, Fadi Chen, Fei Zhang, Sumei Chen, Weimin Fang, Zhiyong Guan

“…For diameter estimation, mean squared errors (MSE) of 6.605 mm (ligulate) and 2.034 mm (bisexual) were obtained, with coefficients of determination (R2) approaching 0.98. …”
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Analysis of the efficiency and effectiveness of technology transformation through the introduction of ADC in the Emergency Department: a Taiwanese case study by Valerio Brescia, Yafang Tsai, Sue-Ting Chung, Cheng-Chieh Lin, Federico Chmet, Ginevra Degregori, Ying-Chun Lai

“…However, challenges such as manual errors in medication dispensing and system limitations were identified. …”
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Estimating energy expenditure from heart rate in older adults: a case for calibration. by Jennifer A Schrack, Vadim Zipunnikov, Jeff Goldsmith, Karen Bandeen-Roche, Ciprian M Crainiceanu, Luigi Ferrucci

“…Although using five calibration measures provided the greatest reduction in the standard deviation of prediction errors (1.08 kcals/min), substantial improvement was also noted with two (0.75 kcals/min).…”
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Global Secular Trend of Gonadal Size in Men: Review and Analysis of Publications by A. Yu. Seroukhov, A. A. Afoko, I. E. Mamaev

“…Standardization of methods of assessment results obtained will help in reducing errors whilst assisting in the analysis of existing tendencies.…”
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Development and Implementation of a Clinical Decision Support System to Enhance Efficiency and Accuracy in Medication Prescription Review in a Tertiary Care Hospital: A Retrospecti... by Lin M, He Y, He P, Jiang H, Luo H, Dai H, Yu L

“…Among them, 63,219 (30.34%) and 61,258 (28.08%) patients received alerts, respectively, showing a significant reduction of 2.26% (aHR=0.896, 95% CI 0.885– 0.908; P< 0.001). …”
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Breast lesion classification via colorized mammograms and transfer learning in a novel CAD framework by Abbas Ali Hussein, Morteza Valizadeh, Mehdi Chehel Amirani, Sedighe Mirbolouk

“…It is clear from these results that the developed method does not only advance the state-of-the-art in technical terms, but also provides radiologists with a practical tool to aid in the reduction of diagnostic errors and increase the detection of early breast cancer.…”
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A virtual-component-embedded equivalent circuit model for lithium-ion battery state estimation by Zelin Guo, Yiyan Li, Zhenghao Zhou, Chen Zhang, Zheng Yan, Mo-Yuen Chow

“…Simulation results on two real-world battery datasets show that the proposed hybrid model can achieve 18%–75% SOC estimation error reduction under varying operating conditions and on average 62% error reduction across different aging cycles, compared with the First-Order ECM.…”
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Optimization, Design, and Implementation of Biodiversity-Focused Fisheries Survey Stations: A Case Study of the Coastal Waters of Maoming by Yuexiu DENG, Yongheng HUANG, Jianyu DONG, Ning CHEN, Jing ZHANG, Xuefeng WANG

“…According to relative error analysis, when stratified by environmental factors and water depth, the mean relative errors for H′, D, and J′ are 2.38, 2.02, 2.85, and 0.43, 3.14, and 1.74, respectively, with stratification by water depth resulting in smaller mean relative errors for all indices except J′.Through stratified sampling and appropriate sample allocation, reducing the number of required sampling stations while maintaining data accuracy, thus minimizing adverse impacts on marine ecosystems, is possible. …”
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Mine microseismic signal denoising method and application based on Adaboost_LSTM prediction by Xueyi SHANG, Yong CHEN, Jie CHEN, Linlin CHEN, Yuanyuan PU

“…Additionally, the noise reduction and P-wave arrival time picking performance was evaluated by the total cost function of P-wave arrival picking errors. …”
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