Robust control of a compliant manipulator with reduced dynamics and sliding perturbation observer by Muhammad Salman, Zhenwei Niu, Rajmeet Singh, Lochan Kshetrimayum, Irfan Hussain

“…Simulation and experimental results validate its superior performance in reducing tracking error and energy consumption, particularly in scenarios where traditional controllers struggle to manage varying stiffness effectively.…”
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Mean-Field-Type Transformers by Hamidou Tembine, Manzoor Ahmed Khan, Issa Bamia

“…For instance, the variance reduction in error within generative machine intelligence is a mean-field-type problem and does not involve an infinite number of decision-makers. …”
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Research on Defect Detection of Bare Film in Landfills Based on a Temperature Spectrum Model by Feixiang Jia, Yayu Chen, Wei Hao

“…The best pixel image was extracted, the pixel comparison relationship was used to quantitatively detect the defect size of the HDPE film and the error between the image defect size and the actual size was analyzed. …”
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Simulation of wind load on street trees based on laser scanning and crown morphological equivalence by SUN Mengsi, ZHOU Xiaoqing, HUANG Xigui, CAI Ming, CUI Dongjin, LI Weiwen, LI Lixiao

“…The results indicate that the wind load simulation method of street trees based on the 3D laser scanning and crown morphology equivalence can accurately simulate the wind load characteristics of street trees, with an error between the simulated and experimental values of downwind resistance of street trees less than 5%. …”
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Evaluating MIMO-VLC System Performance: Modulation Techniques and Ambient Light Interference Effects by Emad S. Hassan, Abdoh Jabbari, Ayman A. Alharbi

“…The study evaluates the VLC systems in terms of bit error rate (BER), quality factor (Q-factor), and received power over varying link distances. …”
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Toward Model-Independent Separative Training for Deep Hyperspectral Anomaly Detection With Mask Guidance by Xi Su, Xiangfei Shen, Haijun Liu, Lihui Chen, Gemine Vivone, Xichuan Zhou

“…To keep the separability, the mask is periodically updated during the training by binarizing the reconstruction errors. Our training strategy is model-independent, making it possible to apply to different DNN structures. …”
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Predictive Energy Management Strategy for Heavy-Duty Series Hybrid Electric Vehicles Based on Drive Power Prediction by Yuan Cao, Changshui Liang, Shi Cheng, Xinxian Yin, Daxin Chen, Zhixi Liu, Chaoyang Sun, Tao Chen

“…Within the prediction timeframe, different rolling calculation energy distribution methods utilizing equivalent factors are employed to achieve optimal energy consumption reduction. Road experiment data demonstrate that identification errors for various vehicle weights remain below 3%. …”
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Research on Spatial Localization Method of Magnetic Nanoparticle Samples Based on Second Harmonic Waves by Zheyan Wang, Ping Huang, Fuyin Zheng, Hongli Yu, Yue Li, Zhichuan Qiu, Lingke Gai, Zhiyao Liu, Shi Bai

“…The experimental results validated the method’s high accuracy, with axial detection distance and concentration reduction errors of only 4.8% and 4.1%, respectively. …”
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Breast Tumor Detection and Diagnosis Using an Improved Faster R-CNN in DCE-MRI by Haitian Gui, Han Jiao, Li Li, Xinhua Jiang, Tao Su, Zhiyong Pang

“…We adopted Faster RCNN as the architecture, introduced ROI aligning to minimize quantization errors and feature pyramid network (FPN) to extract different resolution features, added a bounding box quadratic regression feature map extraction network and three convolutional layers to reduce interference from tumor surrounding information, and extracted more accurate and deeper feature maps. …”
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Enhancing adolescent health: the role of strength and endurance school-based HIIT interventions in physical fitness and cognitive development by José Antonio Pérez-Ramírez, Maria Paula Santos, Maria Paula Santos, Jorge Mota, Jorge Mota, Francisco Tomás González-Fernández, Emilio Villa-González

“…Cognitive outcomes assessed via the D2 attention test revealed notable enhancements in concentration, a reduction in errors, and improved processing speed in the EG relative to the CG (p > 0.05).DiscussionFuture studies should explore the long-term impacts of HIIT on cognitive growth and academic achievement, as well as determine the ideal duration and frequency of sessions to optimize benefits in various educational contexts. …”
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Postprocessing of convection permitting precipitation forecast using UNets by Marcos Esquivel-González, Albano González, Juan Carlos Pérez, Juan Pedro Díaz

“…Although Numerical Weather Prediction (NWP) models form the backbone of modern forecasting, their inherent limitations and the chaotic behavior of atmospheric equations often result in errors, requiring postprocessing to improve accuracy and quantify uncertainties. …”
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Proactive synergistic control of PM2.5 and ozone through urban planning: longitudinal data analysis of 274 Chinese cities from 2005 to 2020 by Sha Li, Bin Zou, Ning Liu, Chenhao Xue, Shenxin Li, Yulong Wang, Yong Xu

“…Validation across 274 Chinese cities (2005–2020) showed the model’s robust predictive performance, achieving coefficients of determination (R2) of 0.88 and 0.89 for PM2.5 and O3, and root mean squared errors (RMSE) of 5.09 μg/m3 and 4.71 μg/m3 for PM2.5 and O3, respectively. …”
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Professional Features of IT Specialists’ Activities as Burnout Risk Factors by Alena F. Dzhumagulova, Natalia E. Vodopyanova, Olga O. Gofman, German S. Nikiforov

“…The study revealed possible risk factors for emotional exhaustion, depersonalization, and reduction in personal achievements of IT specialists. …”
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Development of an automated quality control and assay performance management system for biochemical genetics laboratory by P. Tanpaiboon, D. Salazar, M. Pan, L. Xu, R. Sharma

“…A manual QC review process can impact laboratory productivity and increase risk of errors. Here we describe a novel software application that integrates, processes, and displays QC statistical parameters from multiple instruments in near real-time results by automated processor. …”
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Role of carglumic acid in the long-term management of propionic and methylmalonic acidurias by Sufin Yap, Serena Gasperini, Shirou Matsumoto, François Feillet

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Estimates of power supply during the 2023 Gaza humanitarian crisis using night-time light images by Hanrui Cao, Xi Li, Samir Belabbes, Luca Dell’oro, Changyong Dou

“…In response to the demands of humanitarian relief, this study utilized VIIRS, SDGSAT-1, and Yangwang-1 nighttime light (NTL) satellite images to provide a multi-scale assessment of the spatiotemporal dynamics of power supply in the Gaza Strip during the conflict. To reduce errors in quantitatively estimating power supply based on nighttime light, the quality of daily VIIRS NTL images was enhanced and radiometric intercalibrations were conducted between SDGSAT-1 and Yangwang-1 NTL images. …”
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Calibration and Testing of Discrete Element Simulation Parameters for Ultrasonic Vibration-Cutter-Soil Interaction Model by Yang Qiao, Shenghai Huang, Chengyi Yang, Songlin Liu, Kailun Wang, Yunpeng Lu, Jiasheng Wang

“…The results showed that the errors between the simulation values and the actual values of the two comparative experiments were less than 5%, and the model calibrated for the three parameters can be used to study the drag reduction mechanism of ultrasonic vibration cutting in soil.…”
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Study on the Dilatancy Behavior of Coral Sand and Its Influence on Shear Strength Parameters by Yuanqi Shi, Zhenzhong Cao, Liping Jing, Xiangyu Zhu

“…The dilatancy angle is a critical parameter for finite element analyses of sand foundation bearing capacity; the inappropriate selection of this parameter can lead to significant computational errors. In this research, a series of consolidated drained triaxial tests were conducted on coral sand samples from the South China Sea to investigate the dilatancy behavior and its effect on shear strength parameters. …”
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Development and validation of the S-TIMHSS: a quality metric to inform and evaluate interventions to (re)build trust by Samantha B. Meyer, Jerrica Little, Paul R. Ward, Patrick Brown, Michael Calnan

“…Several statistical criteria were used to support item reduction (i.e., correlated errors, measurement invariance, inter-item correlations, factor loadings and communalities, item-total correlation, and skewness), as well as an exercise testing the content validity ratio (CVR). …”
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Shaping ability of NiTi reciprocating file systems R-motion and waveOne gold in mesial canals of mandibular molars; micro CT study by Mona Alsulaiman, Loai Alsofi, Mey A. Alhabib

“…Nickel-titanium (NiTi) rotary systems have been refined to optimize canal shaping while minimizing iatrogenic errors. This study aimed to evaluate and compare the shaping efficacy of the novel R-Motion (RM) and the established WaveOne Gold (WG) systems using micro-computed tomography (micro-CT). …”
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