Risk Factors for Multidrug-resistant Tuberculosis by Cleopas Martin Rumende

“…Many new cases of MDR-TB are created by physician’s errors related to drugs regimen, dosing interval and duration of treatment. …”
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Risk Factors for Multidrug-resistant Tuberculosis by Cleopas Martin Rumende

“…Many new cases of MDR-TB are created by physician’s errors related to drugs regimen, dosing interval and duration of treatment. …”
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Precision Estimation of Rice Nitrogen Fertilizer Topdressing According to the Nitrogen Nutrition Index Using UAV Multi-Spectral Remote Sensing: A Case Study in Southwest China by Lijuan Wang, Qihan Ling, Zhan Liu, Mingzhu Dai, Yu Zhou, Xiaojun Shi, Jie Wang

“…The RF surpassed BPNN/PLSR by 6.14–10.10% in R² and 13.71–33.65% in error reduction across the critical rice growth stages. …”
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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

“…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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Mechanistic Impacts of a Scale‐Aware Convection Scheme on Typhoon Intensity: Diagnostics From Minimum Sea‐Level Pressure by Yanjie Liu, Xiaocong Wang, Yimin Liu, Hao Miao, Xuesong Zhu, Wei Huang, Yaxin Zhao, Kai Wang

“…The results of four typhoon cases show the scale‐aware CPS generally reduces the track error by about 15 km and the intensity error by about 10% compared to the default CPS. …”
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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

“…By leveraging Nornir’s multi-threading and vendor-agnostic inventory management, the framework ensures consistent security policies while eliminating configuration errors. Experimental results across 18 heterogeneous devices demonstrate its efficiency, with full hardening completed in 44 s (95% CI [43.8, 44.1]). …”
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Intra-Symbol Differential Amplitude Shift Keying-Aided Blind Detector for Ambient Backscatter Communication Systems by Shuaijun Ma, Peng Wei, Sa Xiao, Jianquan Wang, Wanbin Tang, Wei Xiang

“…For traditional detectors, the incorporation of pilot sequences results in a reduction in spectral efficiency. Furthermore, traditional energy-based detectors are inherently susceptible to a notable error floor issue, attributed to the co-channel direct link interference (DLI). …”
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Real-Time Operational Trial of Atmosphere–Ocean–Wave Coupled Model for Selected Tropical Cyclones in 2024 by Sin Ki Lai, Pak Wai Chan, Yuheng He, Shuyi S. Chen, Brandon W. Kerns, Hui Su, Huisi Mo

“…It is shown that the track error of the UWIN-CM was lower than other regional numerical weather prediction (NWP) models in operation at the HKO, with a reduction in mean direct positional error of up to 50% for the first 48 forecast hours. …”
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Rapid analysis of temperature fields in electronic enclosures based on the finite difference thermal resistance network method by Xiaoyue Zhang, Yinmo Xie, Bing Liu, Yingze Meng, Kewei Sun, Guangsheng Wu, Jianyu Tan

“…The results indicate that this model not only accurately represents the temperature field but also controls the maximum relative error within 5 %, achieving a 99.67 % reduction in calculation time. …”
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Two-Scale Physics-Informed Neural Networks for Structural Dynamics Parameter Inversion: Numerical and Experimental Validation on T-Shaped Tower Health Monitoring by Xinpeng Liu, Xuemei Zhang, Yongli Zhong, Zhitao Yan, Yu Hong

“…The T-shaped tower shaking table test results confirm that the model’s identification errors for stiffness reduction coefficients and mass parameters remain below 10% under lower noisy conditions, demonstrating high precision and strong generalization capability for multi-damage scenarios and random load excitations.…”
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A novel indoor localization method using passive phase difference fingerprinting based on channel state information by Xiaochao Dang, Jiaju Ren, Zhanjun Hao, Yili Hei, Xuhao Tang, Yan Yan

“…The device-free channel state information indoor fingerprint localization method may lead to phase offset errors, strong fingerprint noise and low sampling classification accuracy. …”
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A Multichannel Approach and Testbed for Centimeter-Level WiFi Ranging by Jayson P. Van Marter, Matan Ben-Shachar, Yaron Alpert, Anand G. Dabak, Naofal Al-Dhahir, Murat Torlak

“…Utilizing our proposed PCMC technique with 16 channels, we demonstrate a median error of 2.7 cm and a 90th percentile error of 9.5 cm in indoor line-of-sight conditions.…”
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Analysis of Unmanned Surface Vehicles Heading KF-Based PI-(1+PI) Controller Using Improved Spider Wasp Optimizer by Xiaoyu Li, Xiangye Zeng, Jingyi Wang, Qi Li, Baoshuo Fan, Qi Zeng

“…A transfer function model of the USV heading system is established using voyage data, with ISWO optimizing its parameters, achieving a 5.67% reduction in mean squared error (MSE) compared to the original Spider Wasp Optimizer and outperforming classical algorithms like Arithmetic Optimization Algorithm (AOA), Crayfish Optimization Algorithm (COA), and Marine Predators Algorithm (MPA). …”
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Research on a Surface Roughness Measurement Under ResNet-Based Roughness Classification and Light-Section With Seam-Driven Image Stitching (RCLS) by Huashen Guan, Qiushen Cai, Xiaobin Li, Guofu Sun

“…The light section method had a reduction of 2.75% on the mean relative error compared to stylus and RCLS could further reduce the mean relative error by 1.42%, especially in planned sample. …”
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Flow Control of Flow Boiling Experimental System by Whale Optimization Algorithm (WOA) Improved Single Neuron PID by Yan Li, Miao Qian, Daojing Dai, Weitao Wu, Le Liu, Haonan Zhou, Zhong Xiang

“…The output curve of the WOA-improved single-neuron PID closely aligns with the sinusoidal signal, exhibiting an average absolute error of 0.120, which is lower than that of the traditional PID (0.209) and fuzzy PID (0.296). …”
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Sustainability in motion: Investigation of automated gravimetric sample preparation in industrial liquid chromatography by Mo Legelli, Marcel Vranceanu, Michaela Wirtz, Stefan Lamotte

“…In the context of dilution series, this can be achieved by the use of low-volume dispensing tools, which usually have a higher relative instrument error, resulting in a less accurate overall method. …”
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Health State Prediction of Lithium-Ion Battery Based on Improved Sparrow Search Algorithm and Support Vector Regression by Deyang Yin, Xiao Zhu, Wanjie Zhang, Jianfeng Zheng

“…Experimental findings indicate that the proposed model not only confines SOH prediction errors to within 1.5% but also demonstrates robust adaptability and widespread applicability.…”
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Autoencoder-Driven Fiducial Landmark Identification in 3D Brain MRI for Neuroimaging Alignment by G. Deepali, H. Anitha, B. P. Swathi, M. V. Suhas

“…However, manual annotation of these landmarks is time-consuming, prone to human error, and further complicated by variations in MRI acquisition protocols and incomplete head coverage. …”
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A Modified Kalman Filter Based on Radial Basis Function Neural Networks for the Improvement of Numerical Weather Prediction Models by Athanasios Donas, George Galanis, Ioannis Pytharoulis, Ioannis Th. Famelis

“…The derived results demonstrate a significant reduction in systematic error, as the bias decreased by up to 88% for 10-meter wind speed and 58% for 2-meter air temperature. …”
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Enhanced Collaborative Filtering: Combining Autoencoder and Opposite User Inference to Solve Sparsity and Gray Sheep Issues by Lamyae El Youbi El Idrissi, Ismail Akharraz, Aziza El Ouaazizi, Abdelaziz Ahaitouf

“…Through experimental analysis of the MovieLens 100K dataset, we observe that our method achieves notable reductions in both RMSE (Root Mean Squared Error) and MAE (Mean Absolute Error), underscoring its superiority over the state-of-the-art collaborative filtering models.…”
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