Application of novel oligomeric Co(II) complexes of 4,4′-bipyridine and 1,10-phenanthroline modified glassy carbon electrode for differential pulse voltammetric determination of ci... by Mezgebu Biresaw, Adane Kassa, Getinet Tamiru Tigineh, Atakilt Abebe

“…The recovery results for tablet and urine samples ranged from 99.44 % to 99.95 % and 99.25 % to 100.51 %, respectively, with interference recovery showing an error of less than 4.73 %. When it came to determining CPF in tablet formulations and human urine samples, the new approach outperformed recently published voltammetric methods. …”
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Comparative evaluation of accuracy, precision, and radiation dose between mindways and low-dose iCare QCT for lumbar spine BMD using the European spine phantom by Yujie Li, Yujie Li, Tiantian Yin, Tiantian Yin, Qiushi Yang, Heli Han, Zeguo Wang, Wanjiang Yu

“…Accuracy was evaluated using relative measurement error (RME), and precision was assessed via relative standard deviation (RSD). …”
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The Feasibility of a Music Therapy Respiratory Telehealth Protocol on Long COVID Respiratory Symptoms by Jingwen Zhang, Joanne V. Loewy, Lisa Spielman, Zijian Chen, Jonathan M. Raskin

“…The participants perceived a reduction in respiratory symptoms, and shortness of breath (MRC Dyspnea). …”
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Learning Curves in Laparoscopic Training: Comparative Analysis of Two Training Models by Layla Settaf-Cherif, Adam Ostrowski, Anmol Khan, Katarzyna Malinowska, Oliwia Kwiatkowska, Łukasz Paszylk, Jan Adamowicz, Tomasz Drewa

“…Conclusions: Distributed training demonstrated superiority in skill retention, error reduction, and consistent task performance, especially in tasks requiring precision. …”
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A wavelet-guided transformer approach for autofocus in brightfield biological microscopy by Wangka Yang, Meini Lv, Zhenming Yu, Jiawei Deng

“…Experiments conducted on a locally collected dataset demonstrate that WGT-Net achieves a mean absolute error (MAE) of 0.0869 and a root mean square error (RMSE) of 0.101, achieving 28.69% and 32.39% reductions in MAE and RMSE, respectively, compared with state-of-the-art methods, and completing predictions within milliseconds. …”
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Research on the Aerodynamic Characteristics of an Ultrahigh-speed Elevator During the Staggering Process Between the Car and Counterweight by B. Liu, J. C. Ma, J. Zhang, M. Z. Li, Z. X. Tian, M. M. Liu, H. Zhang, L. Xu

“…Additionally, the simulation and test errors are within 10%, confirming the accuracy of the numerical calculation method.…”
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Modeling the Effects of Vegetation on Air Purification Through Computational Fluid Dynamics in Different Neighborhoods of Beijing by Bin Cai, Haomiao Cheng, Fanding Xiang, Han Wang, Tianfang Kang

“…The simulation results were also well validated by the trial-and-error method compared with the computation of vegetation absorption coefficients. …”
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Upper Elevational Limit of Vegetation in the Himalayas Identified from Landsat Images by Bo Wei, Yili Zhang, Linshan Liu, Binghua Zhang, Dianqing Gong, Changjun Gu, Lanhui Li, Basanta Paudel

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Determination of long-term permissible currents in wires of power supply systems of railways by E. P. FIGURNOV, Yu. I. ZHARKOV, V. I. KHARCHEVNIKOV

“…Deviations when these indicators are taken into account by existing methods can cause errors of 40 % or more. Formulas for calculating the actual outer surface of stranded and shaped wires are given. …”
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A 32 μm² MOS-Based Remote Sensing Temperature Sensor with 1.29 °C Inaccuracy for Thermal Management by Ruohan Yang, Kwabena Oppong Banahene, Bryce Gadogbe, Randall Geiger, Degang Chen

“…A novel voltage calibration method ensures accurate temperature extraction. The measurement results demonstrate three-sigma errors within ±0.1 °C in the critical range of 75 °C to 95 °C and +1.29/−1.08 °C outside this range, confirming the sensor’s high accuracy and suitability for advanced thermal management applications.…”
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Optimization of network device hardening in a multivendor environment by Ali Bello Imoukhuede, Tarek Rahil Sheltami, Asharf Hasan Mahmoud, Abdulaziz Yagoub Barnawi

“…Unlike existing single-vendor solutions, our method enforces CIS benchmarks across Cisco, Juniper, and Fortinet devices, achieving an 82.18% reduction in hardening time compared to prior automation tools and a 99.99% improvement over manual techniques. …”
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Individualized Estimation of Baseline Retinal Nerve Fiber Layer Thickness Using Conditional Variational Autoencoder by Ou Tan, PhD, Keke Liu, MD, Aiyin Chen, MD, Dongseok Choi, PhD, Jonathan C.H. Chan, MD, Bonnie N.K. Choy, MD, Kendrick C. Shih, MD, Jasper K.W. Wong, MD, Alex L.K. Ng, MD, Janice J.C. Cheung, MD, Michael Y. Ni, MD, Jimmy S.M. Lai, MD, Gabriel M. Leung, MD, Ian Y.H. Wong, MD, David Huang, MD, PhD

“…The reductions in prediction errors for NFLT profile and overall NFLT value were independently validated using the CEI data. …”
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The Impact of Non-constant Inertia and Nonlinear Damping on the Torsional Vibration Characteristics of Internal Combustion Engine Including External Forces by Hameed D. Lafta

“…An accurate and sophisticated nonlinear dynamic model overcomes the obvious simulation errors of linearized models. The present work studies the effect of the non-conservative forces and nonlinear damping on the torsional vibration of single-cylinder internal combustion engines. …”
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Toward reliable fluorescence imaging: Optical prior-guided probabilistic reconstruction for structured illumination microscopy by Kun Lin, Junkang Dai, Huaian Chen, Yi Jin

“…PG-SIM provides uncertainty and confidence maps corresponding to the imaging results, allowing biologists to simultaneously and quantitatively identify potential imaging errors without any reference. Furthermore, by leveraging the strong cognition ability of GRL to precisely learn the hierarchical representations of the SIM imaging process, PG-SIM itself also achieves a significant uncertainty reduction compared to current methods, overcoming the constraints of unreliability on the practical application of SIM. …”
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Image Similarity Quantum Algorithm and Its Application in Image Retrieval Systems by Qingchuan Yang, Xianing Feng, Lianfu Wei

“…Overall, within the acceptable error thresholds, the AE-QIP algorithm exhibits enhanced efficiency relative to the ST-QIP algorithm. …”
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Enhancing LiDAR Mapping with YOLO-Based Potential Dynamic Object Removal in Autonomous Driving by Seonghark Jeong, Heeseok Shin, Myeong-Jun Kim, Dongwan Kang, Seangwock Lee, Sangki Oh

“…The system achieved RMSE (Root Mean Square Error) reductions compared to conventional methods, with RMSE values decreasing from 0.9870 to 0.9724 in open areas and from 1.3874 to 1.1217 in urban areas. …”
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Decomposition-reconstruction-optimization framework for hog price forecasting: Integrating STL, PCA, and BWO-optimized BiLSTM. by Xiangjuan Liu, Yunlong Li, Fengtong Wang, Yujie Qin, Zhongyu Lyu

“…The research demonstrates that the synergy of temporal decomposition, feature dimensionality reduction, and intelligent optimization reduces hog price prediction errors by over 80%, with STL-PCA feature engineering contributing 67.4% of the improvement. …”
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Safety and efficacy of simultaneous photorefractive keratectomy and corneal cross-linking in managing suspected keratoconus by Ali Dal, Mehmet Canleblebici, Murat Erdağ

“…Eligibility criteria included stable refractive error for at least 1 year, spherical equivalent refractive error not exceeding −4.0 D, and central corneal thickness between 470 and 500 µm. …”
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Real‐Time Self‐Optimization of Quantum Dot Laser Emissions During Machine Learning‐Assisted Epitaxy by Chao Shen, Wenkang Zhan, Shujie Pan, Hongyue Hao, Ning Zhuo, Kaiyao Xin, Hui Cong, Chi Xu, Bo Xu, Tien Khee Ng, Siming Chen, Chunlai Xue, Zhanguo Wang, Chao Zhao

“…Abstract Traditional methods for optimizing light source emissions rely on a time‐consuming trial‐and‐error approach. …”
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Evaluating the performance of artificial intelligence-based speech recognition for clinical documentation: a systematic review by Joel Jia Wei Ng, Eugene Wang, Xinyan Zhou, Kevin Xiang Zhou, Charlene Xing Le Goh, Gabriel Zheng Ning Sim, Hiang Khoon Tan, Serene Si Ning Goh, Qin Xiang Ng

“…Traditional documentation methods, such as manual transcription, are time-consuming, prone to errors and contribute to clinician burnout. …”
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