Soil Hydrothermal Characteristics of Orchard Based on Leaf Area Index Coupled with STEMMUS Model by YANG Yumeng, GAO Xiaodong, SHAO Xiaoya, YANG Min

“…[Results] By optimizing the plant growth parameters, the coupled leaf area development sub-module of the STEMMUS model significantly improved the simulation accuracy of the transpiration and water consumption process of apple trees, with the normalized root mean square error (NRMSE) of the calibration and validation years decreasing from 40.2% and 61.9% in the Original model to 30.0% and 33.2% in the coupled model, respectively, and the mean absolute error (MAE) decreasing from 0.52 and 0.64 mm/d to 0.42 and 0.38 mm/d, respectively. …”
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DaGAM-Trans: Dual graph attention module-based transformer for offline signature forgery detection by Sara Tehsin, Ali Hassan, Farhan Riaz, Inzamam Mashood Nasir

“…Its outstanding performance, especially in reducing error rates and handling cross-linguistic signature variability, demonstrates its robustness and applicability for real-world biometric and forensic authentication tasks.…”
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Machine vision and learning for evaluating different rancidity grades of Prunus mandshurica (Maxim.) Koehne by Yashun Wang, Huirong Chen, Jianting Gong, Yang Cui, Huiqin Zou, Yonghong Yan

“…The instance-based k-nearest neighbors model based on powder color performed best in predicting the amygdalin content [R2 = 0.9801, mean absolute error (MAE) = 0.2071, root mean squared error (RMSE) = 0.4170], followed by the random committee model in predicting the acid value (R2 = 0.9580, MAE = 1.5121, RMSE = 1.9099) and the random forest model in predicting the peroxide value (R2 = 0.8857, MAE = 0.0027, RMSE = 0.0035). …”
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Integration of Sensor Data and Mathematical Modeling of Underwater Robot Behavior Using a Digital Twin by M. D. Gladyshev, A. V. Rybakov

“…It was also found that the average error along X — 3.11 mm, along Y — 2.92 mm. The average error in angle Z — 1.8°. …”
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Multi-objective optimization of an open-pit mining system to determine safety buffer using the modified NBI method and the meta-model approach by Tahereh Khajvandsany, Hossein Amoozad Khalili, Ramezan Rezaeyan, Kourosh Nemati

“…The accuracy of the models was checked using the predicted residual error sum of squares (PRESS) and R2. Moreover, the most common PRESS error was employed to validate the Meta-models. …”
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Epidemiological characteristics and prediction model construction of hand, foot and mouth disease in Quzhou City, China, 2005–2023 by Wenjie Xu, Canjie Zheng, Canya Fu, Canya Fu, Xiaoying Gong, Quanjun Fang, Zhiying Yin

“…Then, root mean square error (RMSE) and mean absolute error (MAE) were used to evaluate the fitting and prediction performances of the model.ResultsFrom 2010 to 2023, Quzhou City reported a total of 66,601 cases of hand, foot, and mouth disease (HFMD), with the annual number of reported cases fluctuating between 2,265 and 7,964. …”
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Unlocking The Potential of Hybrid Models for Prognostic Biomarker Discovery in Oral Cancer Survival Analysis: A Retrospective Cohort Study by Leila Nezamabadi Farahani, Anoshirvan Kazemnejad, Mahlagha Afrasiabi, Leili Tapak

“…Concordance index (C-index), mean absolute error (MAE), mean squared error (MSE) and R-squares, were used to evaluate the performance of the models using selected features. …”
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Using a robust model to detect the association between anthropometric factors and T2DM: machine learning approaches by Nafiseh Hosseini, Hamid Tanzadehpanah, Amin Mansoori, Mostafa Sabzekar, Gordon A. Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

“…The best K (number of neighbors) for the model was 4 which had the lowest error rate. The area under the ROC curve (AUC) was 0.985 for men and 0.986 for women. …”
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Measurement properties of the Traumatic Brain Injury Quality of Life (TBI-QoL) and Spinal Cord Injury Quality of Life (SCI-QoL) measurement systems: a systematic review by Rebecca Ataman, Rehab Alhasani, Line Auneau-Enjalbert, Adria Quigley, Henry Ukachukwu Michael, Sara Ahmed

“…Further evidence of measurement error, responsiveness, and predictive validity would advance the use and interpretation of SCI-QoL and TBI-QoL in rehabilitation.…”
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A Quantitative Evaluation of UAV Flight Parameters for SfM-Based 3D Reconstruction of Buildings by Inho Jo, Yunku Lee, Namhyuk Ham, Juhyung Kim, Jae-Jun Kim

“…Additionally, within the patterns, clear parameter sensitivity and complex nonlinear relationships were identified (e.g., overlapping variables play a decisive role in determining the point count and completeness of surface patterns, with an adjusted R² ≈ 0.70; the results of circular patterns are strongly influenced by the interaction between radius and tilt angle on reprojection error and point count, with an adjusted R² ≈ 0.80). …”
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Clinimetric properties of hip abduction strength measurements obtained using a handheld dynamometer in individuals with a lower extremity amputation. by Ruud A Leijendekkers, Gerben van Hinte, Amy D Sman, J Bart Staal, Maria W G Nijhuis-van der Sanden, Thomas J Hoogeboom

“…It was test-retest reproducible (ICC3.1agreement: 0.80-0.92, standard error of measurement (SEM): 3.1-4.4 Nm and smallest detectable change (SDC): 8.6-12.3 Nm). …”
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Accuracy of Acetabular Component Positioning Using a Mixed Reality-Guided Navigation System During Total Hip Arthroplasty by Alexander F. Heimann, MD, William S. Murphy, MD, Daniel C. Sun, MD, Stephen B. Murphy, MD

“…The mean absolute target error between preoperative target operative anteversion and the achieved operative anteversion was 0.7° ± 1.1° (95% CI, 0.3°-1.0°; range, 0°-4°). …”
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Meridional anisotropy in contrast sensitivity and visual evoked potential in adults with high myopic astigmatism by Siu Sang Anthony Wu, Tsz Wing Leung, Tsz Wing Leung, Tsz Wing Leung

“…This study investigated the effects of astigmatism on meridional anisotropy in contrast sensitivity (CS) and steady-state visual evoked potential (ssVEP) across a range of spatial frequencies.MethodsThirty-two young adults with a best-corrected distance visual acuity of logMAR 0 or better were categorized into two groups: highly astigmatic (HAS, n = 16) with spherical-equivalent error (SE) ≥ −6.00 D and a cylindrical error (Cyl) ≥ 2.00 DC, and non-astigmatic (NAS, n = 16) with SE ≥ −6.00 D but Cyl ≤ 0.50 DC. …”
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Time in range prediction using the experimental mobile application in type 1 diabetes by A. N. Rusanov, T. I. Rodionova

“…The effectiveness of the developed models was assessed on the test sample with the calculation of the mean absolute error (MAE), the root mean square error (RMSE).RESULTS: The 568 CGM profiles’re included in the study. …”
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Translating human information into robot tasks: action sequence recognition and robot control based on human motions by Taichi Obinata, Kazutomo Baba, Kazutomo Baba, Akira Uehara, Akira Uehara, Hiroaki Kawamoto, Hiroaki Kawamoto, Yoshiyuki Sankai, Yoshiyuki Sankai, Yoshiyuki Sankai

“…Researchers, leveraging advanced specialized knowledge and skills, bring products to completion through trial-and-error processes that involve modifying materials, shapes, work protocols, and procedures. …”
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Strawberry Freshness Assessment by Hyperspectral Imaging by Georgiy V. Nesterov, Anastasia V. Guryleva, Milana O. Sharikova, Svetlana A. Sukhanova, Alexander S. Machikhin

“…Model evaluation was done using the coefficients of determination (R2), relative error (RE), and root mean squared error (RMSE). …”
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Deep learning model using continuous skin temperature data predicts labor onset by Chinmai Basavaraj, Azure D. Grant, Shravan G. Aras, Elise N. Erickson

“…During cross-validation AE-LSTM average error (true – predicted) dropped below 2 days at 8 days before labor, independent of gestational age. …”
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Local power flow control by L. M. Chetochnikova, N. I. Smolentsev, N. V. Tomskich, D. A. Gimgina, D. A. Lavrentieva

“…A  scheme  describing  the  dynamic  process  of  power  transfer  for  efficient  resource management  in  the  power  distribution  network  is  proposed.  CONCLUSION.  The  considered power management algorithm is a simple implementation of classical load balancing, and at the same time allows for optimal energy distribution within a given error. …”
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The effect of the burn wounds dressing and mechanical debridement training package on nursing interns’ knowledge and executive functions: A quasi-experimental study by Manizhe Otaghi, Mohamadreza Bastami, Yousef Veisani, Hamid Taghinejad, Alireza Vasiee, Arman Azadi

“…Data were analyzed with a standard error of 0.05 using Kolmogorov-Smirnov, independent t, paired t, chi-square, and analysis of covariance tests by SPSS V.16. …”
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Concurrent Validity of a Custom Method for Markerless 3D Full-Body Motion Tracking of Children and Young Adults Based on a Single RGB-D Camera by Nikolas Hesse, Sandra Baumgartner, Anja Gut, Hubertus J. A. van Hedel

“…Our method achieved a mean per joint position error over all joints of 11.7 mm compared to the Vicon system, and 98.4% of the estimated joint positions had an error of less than 50 mm. …”
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