New Structure for Strengthening Soil Embankments by Fang Xu, Wuming Leng, Rusong Nie, Qishu Zhang, Qi Yang

“…The results show that PRDs can effectively improve the soil shear strength, bearing capacity, ability to resist elastic and plastic deformation, critical dynamic stress, and dynamic shear modulus, and empirical methods were also developed to determine the critical dynamic stress and initial dynamic shear modulus of the embankment soil. …”
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THE INFLUENCE OF CLEFT LIP AND PALATE SEVERITY ON SURGICAL OUTCOMES by Ruby Riana Asparini, Nur Khalida Zia, Bragastio Sidharta, Jeyasree Sakthivel, Bhuvana Sri Naga

“…Generally, the severity of cleft lip and/or palate is influenced by the severity of the preoperative cleft. Methods: This study used a retrospective cohort design taken from 40 medical records at Cleft Lip and Palate (CLP) Center Faculty of Medicine University of Muhammadiyah Malang. …”
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Association of changes in the texture level of consumed food with nutritional and functional outcomes among older patients undergoing rehabilitation by Yukiko Sawa

“…Multivariate analyses were performed to determine the association between changes in the food texture level and nutritional improvement, FIM gain, and discharge to home. …”
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Efficient Removal of Brilliant Green Dye Using Mesoporous Attapulgite Clay: Investigating Adsorption Kinetics, Isotherms, and Mechanisms by Amal Khudair Al-Jaafari, Muna Abd Ul Rasool AL-Kazragi

“…The parameters of kinetic profiles were best represented by the (P-2-O) model with the determination of coefficient (R2, 0.99), and the corresponding equilibrium data of dye provided a good fit of the Freundlich adsorption model with a maximal multilayer IQATP adsorption capacity (Qmax, = 1.41 mg/g) under optimum conditions (temperature 318 K, pH 3.05, optimum equilibrium time 25 min, and IQATP dosage 0.2 g/L) for BG dye removal. …”
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Advancing the accuracy of tyrosinase inhibitory peptides prediction via a multiview feature fusion strategy by Watshara Shoombuatong, Nalini Schaduangrat, Nutta Homdee, Saeed Ahmed, Pramote Chumnanpuen

“…Based on the independent test, experimental results showed that TIPred-MVFF outperformed several conventional ML classifiers and existing methods in terms of prediction accuracy and robustness, achieving an accuracy of 0.937 and a Matthew’s correlation coefficient of 0.847. …”
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Estimation of Daylily Leaf Area Index by Synergy Multispectral and Radar Remote-Sensing Data Based on Machine-Learning Algorithm by Minhuan Hu, Jingshu Wang, Peng Yang, Ping Li, Peng He, Rutian Bi

“…Rapid and accurate leaf area index (LAI) determination is important for monitoring daylily growth, yield estimation, and field management. …”
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Comparative analysis of machine learning techniques for temperature and humidity prediction in photovoltaic environments by Montaser Abdelsattar, Ahmed AbdelMoety, Ahmed Emad-Eldeen

“…Using a dataset of 5,000 samples (80% for training, 20% for testing), the models—Support Vector Regression (SVR), Lasso Regression, Ridge Regression (RR), Linear Regression (LR), AdaBoost, Gradient Boosting (GB), Decision Tree (DT), Random Forest (RF), and eXtreme Gradient Boosting (XGBoost)—were evaluated based on Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and the Coefficient of Determination (R²). For temperature prediction, XGBoost demonstrated the best performance, achieving the lowest MAE of 1.544, the lowest RMSE of 1.242, and the highest R² of 0.947, indicating strong predictive accuracy. …”
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Evaluation of the Prognostic Value of Obesity, Vitamin D Concentrations, and Systemic Inflammatory Response Indexes (SIRI, SII, PIV) in Patients With Breast Cancer Scheduled for Ne... by Beata Kotowicz, Malgorzata Fuksiewicz, Magdalena Jodkiewicz, Agata Makowka, Agnieszka Jagiełło-Gruszfeld

“…In the HER2+ group without pCR after NAT, there was a positive correlation of the SII coefficient with BMI values ( R  = .41; P  = .045). …”
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Sport-Specific AMCaMP: New Modular Tools for Measuring Adolescent Self-Confidence In Sport-Specific Movement by Keith H. May, William C. Espinoza, Andrew A. Guccione

“…Additional analyses to determine coefficient alpha (range=0.8-0.976), Standard Error of Measurement (range=1.12-2.33), and Minimum Detectable Change (range=3.1-6.47) confirmed the reliability of each of these modules…”
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Validity and reliability of the XSENSOR in-shoe pressure measurement system. by Daniel Parker, Jennifer Andrews, Carina Price

“…Their validity and reliability across different pressures, durations of load and contact areas determine their appropriateness to address different research questions or clinical assessments. …”
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Examining the effects of attention and concentration levels on reaction time in fencing by Ömer Aydın, Erman Doğan, Ezgi Sevilmiş, Çiğdem Karagülmez Sağlam

“…The Pearson correlation coefficient between attention, concentration disruption, and participants' reaction times was calculated. …”
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The Comorbidities Coma Scale (CoCoS): Assessment of Psychometric Properties by N. A. Suponeva, O. A. Kirichenko, K. A. Yatsko, A. A. Zimin, L. A. Legostayeva, D. V. Sergeev, D. G. Yusupova, Yu. V. Ryabinkina, M. A. Piradov, F. Pistoia

“…However, the lack of a Russian-language version of this scale limits the practical and scientific areas of work with this category of patients.THE AIM of the study was to evaluate the psychometric properties of the developed Russian version of the Comorbidities Coma Scale (CoCoS).MATERIALS AND METHODS As part of the validation study, an assessment of psychometric properties (reliability, validity, sensitivity) was performed on a group of 52 adult patients with traumatic (18/52) and non-traumatic (34/52) brain damage.RESULTS High levels of validity and reliability were obtained (the Spearman’s Rank Correlation Coefficient r=0.98 (p<0.0001), Cronbach’s alpha α=0.73 (p<0.001), Cohen’s kappa κ=0.72 (p<0.0001)). …”
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Correlation Between Y-Balance Test and Balance, Functional Performance, and Outcome Measures in Patients Following ACL Reconstruction by Jin Seong Kim, Ui Jae Hwang, Moon Young Choi, Doo Hwan Kong, Kyu Sung Chung, Jeong Ku Ha, Oh Yun Kwon

“…The Pearson correlation coefficient was used to determine the strength of the association between scores on the YBT and selected outcomes including laxity measured via the KT-2000 arthrometer, static balance measured via the Biodex Balance System, isokinetic muscle torque and hamstring-to-quadriceps (HQ) ratio, and performance on the single leg hop test and the single leg vertical jump test…”
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Machine Learning Approach to Model Soil Resistivity Using Field Instrumentation Data by Md Jobair Bin Alam, Ashish Gunda, Asif Ahmed

“…Among the machine learning models evaluated, artificial neural networks and support vector machines demonstrated superior predictive performance, achieving a coefficient of determination (R²) above 0.77 and lower root mean square error (RMSE) values (less than 0.14). …”
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Regression Analysis of Mitochondrial Proapoptotic Molecules, Oxidative Stress, and Cellular Respiration Parameters in the Hippocampus of Rats with Experimental Alzheimer’s Disease... by Pozdnyakov, Dmitry I., Viсhor, Anastasiya A.

“…Regression models were characterized using the F-test, Akaike information criterion (AIC), and the coefficient of determination (R2). Results. A significant increase (p < 0.05) in the concentrations of proapoptotic molecules was observed in the hippocampal tissue of both male and female rats following Aβ injection. …”
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Comparative study of posterior tibial slope &amp; metaphysio-diaphyseal angle in osteoarthritis knee and normal knee attending tertiary care centre in North-east India by Tulasi Das Bhattacharyya, Prasanta Das, Paragjyoti Gogoi, Rananjoy Sarmah, Bishal Deka, Arkadeep Haldar

“…These measurements are critical for assessing knee joint biomechanics, which influence various orthopaedic surgical outcomes and rehabilitation processes. Methods and materials: We conducted a cross-sectional study involving 347 adults from various regions across North-east India. …”
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SIMULATION OF 2D FLOW AROUND OF AIRFOILS AT LOW-SPEED WIND TUNNEL WITH OPEN JET TEST-SECTION by Yu. S. Mikhailov, Yu. G. Stepanov

“…Modern airfoils are to a large extent developed from numerical methods. However, the complex flow conditions such as separation at high angles of attack, laminar separation bubbles and the transition from laminar to turbulent flow are difficult to predict accurately. …”
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Most vulnerable diet and health profiles: identifying countries at risk through a three-theme clustering by Ahmet Murat Günal, Salim Yılmaz, Sedat Arslan

“…The study categorizes countries based on nutrition and diet, health and disease burden, and healthcare access and life expectancy to determine those at the highest risk.MethodsA cross-sectional analysis was conducted using 2019 data from 168 countries. …”
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A Study on Interpretable Electric Load Forecasting Model with Spatiotemporal Feature Fusion Based on Attention Mechanism by Shuaishuai Li, Weizhen Chen

“…The experimental results show that the determination coefficient R² of the model on the Australian electricity market data set reaches 0.9935, which is 84.6% and 59.8% higher than that of the LSTM and GRU models, respectively. …”
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Mechanisms of Development of Hemostatic Disorders after Liver Resection by S. A. Shaposhnikov, S. V. Sinkov, K. F. Ivanov, I. B. Zabolotskikh

“…Objective: to reveal the mechanisms of development of hemostatic disorders after liver resection. Material and methods. One hundred and twenty cases of liver resections for primary hepatic cancer were retrospectively analyzed. …”
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