Oxford Shoulder Instability Score: cross-cultural adaptation into Spanish and analysis of its methodological quality by Rocio Aldon-Villegas, Gema Chamorro-Moriana, Fernando Espuny-Ruiz, Maria-Luisa Benitez-Lugo

“…Cronbach’s alpha and intraclass correlation coefficient were both 0.93 (IC95%: 0.91–0.94). Standard error of measurement was 0.70, and the percentage of error and smallest detectable change were 1.46% and 1.94, respectively. …”
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Modification of Epidemiological Model for Predicting the Development of a Socially Significant Infection (by the Example of Chronic Viral Hepatitis C) by R. A. Yakhina

“…Purpose of the study: to develop, evaluate the effectiveness and applicability of an epidemiological model for the development of chronic viral hepatitis C, with the ability to predict the number of people who need to be tested for the presence of the virus.Materials and methods. …”
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Attention-CARU With Texture-Temporal Network for Video Depth Estimation by Sio-Kei Im, Ka-Hou Chan

“…Besides, to improve the detection of moving objects in the depth map, an advanced loss function is introduced to further penalise the depth estimation error of moving objects. Experimental tests on the KITTI datasets show that this work achieves competitive performance in depth estimation, demonstrating good resultant capabilities and applicability to a variety of real-time scenarios.…”
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Research on an Online Intelligent Monitoring System for Resistance Spot Welding Based on Wireless Communication by Shuwan Cui, Xuan Zhou, Baoyan Zhang, Leigang Han, Bin Xue, Feiyang Liu

“…Resistance spot welding (RSW) faces critical monitoring challenges in industrial applications due to nonlinear coupling characteristics and production line disturbances. …”
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Aero Engine Fault Diagnosis Using an Optimized Extreme Learning Machine by Xinyi Yang, Shan Pang, Wei Shen, Xuesen Lin, Keyi Jiang, Yonghua Wang

“…It uses QPSO to select optimal network parameters including the number of hidden layer neurons according to both the root mean square error on validation data set and the norm of output weights. …”
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LSTM model to predict missing data of dissolved oxygen in land-based aquaculture farm by Sang-Yeon Lee, Deuk-Young Jeong, Jinseo Choi, Seng-Kyoun Jo, Dae-Heon Park, Jun-Gyu Kim

“…The LSTM model used to predict DO levels in the fish tank has an error of approximately 3.25%. The proposed LSTM model trained on DO data has a high applicability and may support water quality control in aquaculture farms.…”
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Solving the Modified Regularized Long Wave Equations via Higher Degree B-Spline Algorithm by Pshtiwan Othman Mohammed, Manar A. Alqudah, Y. S. Hamed, Artion Kashuri, Khadijah M. Abualnaja

“…Moreover, we have calculated the numerical conserved laws and error norms L2 and L∞ to demonstrate the efficiency and accuracy of the method. …”
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Generalized Sampling Theory in the Quaternion Domain: A Fractional Fourier Approach by Muhammad Adnan Samad, Yuanqing Xia, Nader Al-Rashidi, Saima Siddiqui, Muhammad Younus Bhat, Huda M. Alshanbari

“…The field of quaternions has made a substantial impact on signal processing research, with numerous studies exploring their applications. Building on this foundation, this article extends the study of sampling theory using the quaternion fractional Fourier Transform (QFRFT). …”
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Proposing Robust LAD-Atan Penalty of Regression Model Estimation for High Dimensional Data by Omar Abdulmohsin Ali, Ali Hameed Yousef

“…Simulation experiments and real data applications show that the proposed LAD-Atan estimator has superior performance compared with other estimators.…”
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A Multiband Transparent Transponder Based on Reconfigurable Optical Frequency Combs for Cross Connection of Intersatellite and Satellite Ground by Bin Wu, Hongxi Yin, Anliang Liu, Xiuyang Ji, Qingchun Zhao

“…The experimental results reveal our system feasibility, and the bit error rate of recovered baseband data is less than 10^–9. …”
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A Meta-Learning Approach for Estimating Heterogeneous Treatment Effects Under Hölder Continuity by Zhihao Zhao, Congyang Zhou

“…Estimating heterogeneous treatment effects plays a vital role in many statistical applications, such as precision medicine and precision marketing. …”
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Integration Method with Backpropagation by Nidhal AL-Assady, Jamal Majeed, Shahbaa Khaleel

“…To obtain the optimal weight with minimum iteration and minimum time, we applied a new method on many applications to prove the result of this method (pattern compression, encoding and recognition on Arabic, English digits and alphabetic.…”
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Research on subway settlement prediction based on the WTD-PSR combination and GSM-SVR model by Miren Rong, Chao Feng, Yinping Pang, Hailong Wang, Ying Yuan, Wensong Zhang, Lanxin Luo

“…By comparing the prediction accuracy of the seven models, the results show that the Grid Search Method optimized SVR model performs the best in the light of prediction accuracy, with a Mean Absolute Percentage Error (MAPE) of 2.96%, a Mean Absolute Error (MAE) of 0.028 mm, a Root Mean Square Error (RMSE) of 0.032 mm, and a coefficient of determination (R2) of 0.995. …”
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Structural Behaviour of Concrete Deep Beams Reinforced with Aluminium Alloy Bars by Kagan Sogut

“…Aluminium alloy (AA) bars have emerged in structural engineering applications mainly to reduce deterioration caused by corrosion. …”
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From Fresh to Dried: Evaluating Drying Kinetics of Sultana and Besni Grapes by Mehmet Başlar

“…The study evaluates the applicability of three drying models (Lewis, Page, and Henderson & Pabis) to the experimental data and concurrently determines the effective moisture diffusivity and activation energy of dried grapes at varying temperatures. …”
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A Novel Multi-Task and Ensembled Optimized Parallel Convolutional Autoencoder and Transformer for Speech Emotion Recognition by Zahra Sharifzadeh Jafari, Sanaz Seyedin

“…This multi-task loss tries not only to reduce the classification error but also the regression error caused by the PCAEs which also work as mappers between the input and output Mel-frequency-cepstral-coefficients (MFCCs). …”
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Enhanced Video Inpainting: A Deep Learning Approach for Historical Weather Reconstruction by Yannis Schmutz, Noemi Imfeld, Stefan Brönnimann, Erik Graf

“…Abstract We investigate the applicability of deep learning (DL) methods for reconstructing daily weather data. …”
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A Method for Measuring Strawberry Leaf Area Based on Three-Dimensional Point Cloud Instance Segmentation by Zhipeng Li, Shusheng Wang, Yuanping Su, Dongyun Yu

“…The network achieved an average precision of 90.41% for instance segmentation, with the precision of leaf segmentation reaching 93.63%. The Mean Absolute Error of the reconstructed leaf area, calculated using the Poisson surface reconstruction method with boundary processing, was 5.51 cm2, with a Root Mean Square Error of 6.91 cm2 and a Coefficient of Determination of 0.867. …”
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Neural-Augmented Hybrid Dynamic Modeling of a Series-Parallel Elastic Actuator by Timur Umurzakov, Sharafatdin Yessirkepov, Michele Folgheraiter

“…This hybrid framework, integrating an ESN, achieved lower prediction error and better performance than other ANN architectures, as confirmed by experimental results.…”
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Cost Estimation of Construction Projects under Risk and Cost-Influencing Factors by Mohammad Sheikhalishahi, Mahshid Yadegari, Emran Eshgheelahi

“…ANN is selected as the preferred method for project cost estimation with the minimum MAPE (Mean Absolute Percentage Error). Sensitivity analysis is performed to demonstrate the applicability of DEA in identifying the influential factors. …”
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