Interfacial Failure in Flexible Pipe End Fittings: DIC and Cohesive Zone Modeling for Defect Analysis by Tao Zhang, Qingzhen Lu, Shengjie Xu, Yuanchao Yin, Jun Yan, Qianjin Yue

“…DIC captured real-time strain evolution and crack propagation, validating strain concentrations up to 3.2 at defect edges, while CZM simulations achieved high accuracy (errors: 3.0–7.2%) in predicting failure loads. Critical thresholds for λ (λ < 0.025 for negligible impact; λ > 0.05 requiring defect control or high-toughness adhesives) were established, providing actionable guidelines for manufacturing optimization and adhesive selection. …”
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Conventional scan body vs. scan bodies with auxiliary geometric devices: an in vitro study for edentulous full-arch implant impressions by Francesco Gianfreda, Carlo Raffone, Mirko Martelli, Alberto Pitino, Vito Carlo Alberto Caponio, Patrizio Bollero

“…The AGD was used to reduce positional errors during the scan process. Data were processed using Exocad and GOM Inspect Professional software, aligning scan body library files with mesh data using a best-fit algorithm. …”
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Effect of Aerobic Training on Anxiety, Activities of Daily Living and Visual Motor Skills Performance in Children with Autism: A Randomised Controlled Trial by Anju Dhingra, Aarti Gupta, Aditi

“…Similarly, in Group A, the amount of time needed to draw the figure and the errors made with both the right and left hands decreased significantly for the mirror drawing score following aerobic exercises, indicating improvements in anxiety, ADLs and visual motor skills after the treatment. …”
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Evaluating compliance with proper application of compression stockings in surgical patients: a clinical audit by Merin Annassery, Aravind Thayyil Raman

“…Materials and Methods: The objectives of the study were to evaluate the proportion of patients wearing stockings correctly, identify the most common application errors, assess staff knowledge and practices regarding sizing and fitting, and gauge patient understanding and educational needs. …”
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A short-arc hardware delay estimation method for inter-satellite links to improve BDS-3 precise orbit determination by Zhouming Yang, Yunbin Yuan, Bingfeng Tan

“…Comparisons with L-band orbits confirmed an approximate 28.2% reduction in the 3D RMS of orbit discrepancies, from 26.5 cm to 19.0 cm. …”
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Streptococcus agalactiae colonization and screening approach in high-risk pregnant women in southern Brazil by Jeane Zanini da Rocha, Jéssica Feltraco, Vanessa Radin, Carla Vitola Gonçalves, Pedro Eduardo Almeida da Silva, Andrea von Groll

“…Grenade culture was considered an easy and low-cost method, while GeneXpert presented higher cost and error rate of 10%. However, 23.3% of the pregnant women were diagnosed exclusively by GeneXpert and the results were obtained in two hours. …”
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Wave forecast investigations on downscaling, source terms, and tides for Aotearoa New Zealand by R. Santana, R. Santana, R. Gorman, E. Lane, S. Moore, C. Bosserelle, G. Reeve, C. Rautenbach, C. Rautenbach

“…Downscaling markedly improved forecast accuracy at Baring Head, a tidally constricted region, reducing Hs forecast error by 28 %. However, improvements at Banks Peninsula were minimal, likely due to its open-coast characteristics, which are adequately represented even by lower-resolution models. …”
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Nonlinear Compensation of Multi-CAP VLC System Employing Clustering Algorithm Based Perception Decision by Xingyu Lu, Kaihui Wang, Liang Qiao, Wen Zhou, Yiguang Wang, Nan Chi

“…The system performances including the <italic>Q</italic> factor, bit error rate (BER), and computational complexity are thoroughly investigated when using a pure linear blind equalization scheme (modified cascaded multimodulus algorithm, M-CMMA) and when using hybrid linear and nonlinear equalizers (M-CMMA &#x002B; Volterra series based nonlinear equalizer). …”
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LightHand99K: A Synthetic Dataset for Hand Pose Estimation With Wrist-Worn Cameras by Jeongho Lee, Changho Kim, Jaeyun Kim, Seon Ho Kim, Younggeun Choi, Sang-Il Choi

“…Incorporating three data augmentation techniques, LightHand99K demonstrated a 36% increase in area under the curve (AUC) and a 6.2-mm reduction in average endpoint error (EPE) compared to existing datasets. …”
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Cyber epidemic spread forecasting based on the entropy-extremal dynamic interpretation of the SIR model by Viacheslav Kovtun, Krzysztof Grochla, Mohammed Al-Maitah, Saad Aldosary, Tetiana Gryshchuk

“…The empirical results are characterized by a significant reduction in the Mean Absolute Percentage Error regarding the etalon data over the prediction interval, which proves the adequacy of the proposed approach.…”
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A Two-Stage Time-Domain Equalization Method for Mitigating Nonlinear Distortion in Single-Carrier THz Communication Systems by Yunchuan Liu, Hongcheng Yang, Ziqi Liu, Minghan Jia, Shang Li, Jiajie Li, Jingsuo He, Zhe Yang, Cunlin Zhang

“…In an experimental setting at a frequency of 230 GHz and a channel distance of 2.1 m, this method demonstrated a substantial reduction in the system’s bit error rate (BER), exhibiting particularly noteworthy performance enhancements in comparison to before equalization. …”
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Optimizing subsurface pipe layout by considering leaching efficiency of major salt ions to improve crop coverage using HYDRUS-2D by Yi Liu, Wang Tan, Wenzhi Zeng, Chang Ao, Donglin Jiang

“…The HYDRUS-2D model, calibrated and validated with experimental data, achieved high accuracy in simulating cumulative drainage and ion discharge (R² > 0.7 for all ions), with an average root mean square error (RMSE) for major ions below 0.2 g kg−1. Scenario analysis evaluated 96 configurations of SPD depth, spacing, and leaching quotas. …”
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Research of factors influencing the accuracy of determining of oil raw materials quality indicators based on the NMR pulse method by O. S. Agafonov, S. M. Prudnikov, T. A. Shakhrai, E. P. Victorova

“…The second factor affecting the error of the measurement results of the quality parameters of sunflower seeds is the difference in the temperature of the seeds being analyzed and the temperature in the laboratory where the used NMR analyzer is installed. …”
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A comparative study of four deep learning algorithms for predicting tree stem radius measured by dendrometer: A case study by Guilherme Cassales, Serajis Salekin, Nick Lim, Dean Meason, Albert Bifet, Bernhard Pfahringer, Eibe Frank

“…Our best result showed that a reduction of 97 % in collection events increases the MAE by only 6 % with the LSTM model, demonstrating that resource use optimisation can be achieved by slightly reducing the temporal resolution of data collection with marginal error increase. …”
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Validation of the scale compassion fatigue inventory in health professional Spanish-speaking: a cross-sectional study by Antonio Kobayashi-Gutiérrez, Blanca Miriam Torres-Mendoza, Bernardo Moreno-Jiménez, Rodrigo Vargas-Salomón, Jazmin Marquez-Pedroza, Rosa Martha Meda-Lara

“…The CFA showed good fit indices and psychometric values (Cronbach´s alpha = 0.87, Omega = 0.87, Comparative Fit Index = 0.99, Tucker Lewis = 0.99, root mean square error of approximation = 0.045, Standardized Root Mean Square Residual = 0.05). …”
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Improving large-scale snow albedo modeling using a climatology of light-absorbing particle deposition by M. Gaillard, M. Gaillard, V. Vionnet, M. Lafaysse, M. Dumont, P. Ginoux

“…The revised coefficient improved snow albedo simulations at the 10 experimental sites (average reduction in root-mean-square error (RMSE) of 10 %), with the largest improvements found for the sites in the Arctic (RMSE reduced by 25 %). …”
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Optical Versus Electronic Implementation of Probabilistic Graphical Inference and Experimental Device Demonstration Using Nonlinear Photonics by Masoud Babaeian, Patrick Keiffer, Mark A. Neifeld, Ratchaneekorn Thamvichai, Robert A. Norwood, Pierre-A. Blanche, John Wissinger, N. Peyghambarian

“…The probabilistic inference model has been widely used in various areas, such as error-control coding, machine learning, speech recognition, artificial intelligence, and statistics. …”
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Optimization Research on Magnetic Interference Parameter Identification and Compensation for AUV Platforms by Haodong Wen, Guohua Zhou, Kena Wu, Xinkai Hu, Liezheng Tang, Shuai Xia

“…Numerical simulations demonstrate that, under a 5&#x00B0; attitude error, the L-SHADE algorithm achieves mean decoding accuracies of 86.42%, 81.9%, and 86.15% for the three magnetic field components after training with low-noise data. …”
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Bayesian Model Averaging for Satellite Precipitation Data Fusion: From Accuracy Estimation to Runoff Simulation by Shaowei Ning, Yang Cheng, Yuliang Zhou, Jie Wang, Yuliang Zhang, Juliang Jin, Bhesh Raj Thapa

“…Evaluation metrics included the correlation coefficient (CC), root mean square error (RMSE), and Kling–Gupta efficiency (KGE). The Variable Infiltration Capacity (VIC) hydrological model was further applied to assess how these datasets affect runoff simulations. …”
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Missing value interpolation algorithm for long-term temperature observation data based on data augmentation multiple interpolation method by Xiaolin Liu, Bo Wang, Shuanglong Jin, Zongpeng Song

“…The experimental results show that the mean square error of the interpolated data is below 0.2, the coefficient of determination is between 0.91 and 0.95, which is closer to 1, and the interpolation time is <5 s. …”
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