Prognostic assessment of sarcopenia in patients with fractures: a systematic review and meta-analysis by Hejie Zheng, Tianhong Wang, Zhuoyang Li, Huimin Lu

“…The logarithm and its standard error of the odds ratio (OR) were calculated to assess the effect size. …”
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Test-Retest Reliability of the Isometric Soleus Strength Test in Elite Male Academy Footballers by David Rhodes, Josh Jeffery, Daniel Brook-Sutton, Jill Alexander

“…Bilaterally no significant difference was detected between values (Right: *p=0.09, CI: -153.21-10.95*; Left: *p=0.52, CI: -139.81-72.33*). # CONCLUSION The results of this study demonstrate high reliability for the ISST. …”
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A hybrid convolutional neural network model for dental age estimation using buccal alveolar bone level for Saudi children by Seyed Matin Mazloom Nezhad, Erma Rahayu Mohd Faizal Abdullah, Norliza Ibrahim, Heba H. Bakhsh, Uzair Ishtiaq, Rabiah Al Adawiyah Rahmat, Sarah AlMugairin, Sara M. ElKhateeb

“…The Support Vector Machine (SVM) regression model achieved the best mean absolute error of 0.99 year. Conclusion The results revealed the potential of buccal alveolar bone level for dental age estimation in children. …”
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Neuro-fuzzy inference system and white shark optimization of coagulation-flocculation of aquaculture wastewater treatment by A.F. Mohamed, H. Rezk

“…In compared to analysis of variance adaptive neuro-fuzzy inference system lowered the root mean square error from 2.8 to 0.836 (a 70 percent decrease). …”
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Effect of different prophylactical doses of ondansetron for the hemodynamic stability in patients undergoing cesarean section: a randomized controlled study by Rui Qin, Xiangzhao Xu, Na Zhao, Yongqiang Shi, Yi Chen, Jinhua Chen, Xinli Ni

“…Patient information, maternal systolic blood pressure stability [median performance error (MDPE), median absolute performance error (MDAPE)], the incidence of post-spinal anesthesia hypotension, norepinephrine doses, other adverse events (severe post-spinal anesthesia hypotension, nausea, vomiting, bradycardia, and hypertension), umbilical artery blood gas values, and infant Apgar scores were all recorded.ResultsThe primary outcomes (median performance error, MDPE and median absolute performance error, MDAPE) were significantly different among the three groups. …”
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Adaptación, validación e invarianza factorial de una escala para evaluar la calidad de los cursos virtuales desarrollados para estudiantes peruanos de ciencias de la salud durante... by Claudio Intimayta-Escalante, Rubí Plasencia-Dueñas, Janeth N. Nuñez-Lupaca, Kevin Flores-Lovon, Nancy Ramirez-Bernuy, Giancarlo Pares-Ballasco, Natalia Barrientos-Odias, Ronald Castillo-Blanco

“…Reliability indices were greater than 0.85 in the domains. Conclusion: The 30-item scale and six domains to assess QVC developed for HSS in Peru showed adequate evidence of validity and reliability. …”
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Educational and Clinical Applications of a Web- and Android-Based Telemedicine Platform to Expand Rural Health Care in Ecuador by Leonel Vasquez-Cevallos, Andrew Mitchell, Susana Muñoz-Hernández, Ángel Herranz-Nieva, Ana Garcia-Mingo, Paula De Corral-San Martin, Mijail Castro, Paul E.D. Soto-Rodriguez, Franklin Parrales-Bravo, Rosangela Caicedo-Quiroz

“…Results: Technical validation demonstrated low error rates, high user satisfaction, and average task completion times of 5 min for general practitioners and 3 min for specialists. …”
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Criterion-Related Validity and Reliability of the Front Plank Test in Adults: The ADULT-FIT Project by Ángela Rodríguez-Perea, Pedro Aragón-Aragón, Magdalena Cuenca-García, Carolina Cruz-León, Maximiliano Torres-Banduc, Sandra Sánchez-Parente, José Castro-Piñero

“…Reliability was examined by ICC, error measurements, and Bland–Altman analysis across sex and age groups. …”
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Quantitative Ultrasonic Testing and Evaluation of Laser Welds for Stainless Steel Carbody of Rail Transit Vehicles by ZHOU Guanghao, LI Bing, DU Yuxin, CHANG Xiaoyu, GAO Zhongliang, KANG Liqi, GAO Ya

“…The semi-attenuation method and frequency domain analysis method are used to obtain the simulated values of the fusion width, which are then compared with actual values, followed by the error statistical analysis. ［Result & Conclusion］ The variations in ultrasonic A-scan signals and main frequency amplitude correlate well with the probe position. …”
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Investigator’s influence on the muscle strength assessment in animals in experiment: Comparison of automated “inverted grid” test and its classical variant by P. R. Lebedev, E. V. Kuzubova, V. M. Pokrovsky, A. I. Radchenko, S. I. Osipyan, Yu. V. Stepenko, A. A. Apostol, L. M. Danilenko, A. A. Dolzhikov, T. G. Pokrovskaya, O. S. Gudyrev, Ya. S. Kochergina, O. V. Dudnikova

“…It was shown that the standard error of the mean in the classical variant of the test in Tau P301S+/+ mice was 6.24; 5.94; 5.88; 7.38 at 4 age points; in FUS(1-359)+/- mice, 4.49; 6.8; 6.98 and 4.1; B6.ADysfprmd/GeneJ mice, 7.66; 7.58; 8.3 and 7.92, respectively.Conclusion. …”
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Peroneus brevis split rupture is underreported on magnetic resonance imaging of the ankle in patients with chronic lateral ankle pain by Katarzyna Bokwa-Dąbrowska, Dan Mocanu, Alex Alexiev, Katarina Nilsson Helander, Pawel Szaro

“…Conclusion: Peroneus brevis split rupture is underreported on MRI scans of patients with lateral ankle pain.…”
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Machine learning models for predicting residual malaria infections using environmental factors: A case study of the Jazan region, Kingdom of Saudi Arabia by Idris Zubairu Sadiq, Yakubu Saddeeq Abubakar, Abdulkadir Rabiu Salisu, Babangida Sanusi Katsayal, Umar Saidu, Sani I. Abba, Abdullahi Garba Usman

“…Results: The ANN model outperformed the RFR and RLR models, with the lowest Mean Squared Error (MSE) and Root Mean Squared Error (RMSE) of 0.313 and 0.146 respectively. …”
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Optimizing irrigation scheduling for winter wheat production in the Hebei Plain using the AquaCrop model by XUAN Ziyu, ZHANG Xiaotao, DANG Hongkai, NIU Jun

“…The average error of the simulated grain yield was higher in 2021 than in 2022. …”
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Machine learning models for predicting tibial intramedullary nail length by Sercan Capkin, Ali Ihsan Kilic, Hakan Cici, Mehmet Akdemir, Mert Kahraman Marasli

“…The performance of the models was evaluated using the mean squared error (MSE) and the R-squared values. Results The linear regression model demonstrated superior performance compared to the random forest, decision tree, and XGBoost models, with an R-squared value of 0.89, an MSE of 117.53, and a root mean squared error (RMSE) of 10.84 mm. …”
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A Cross-Sectional Study of Myopia and Morning Melatonin Status in Northern Irish Adolescent Children by Jane M. Fulton, Sarah C. Flanagan, Julie J. Sittlington, Diego Cobice, Sara Dobbin, Sara J. McCullough, Gareth Orr, Patrick Richardson, Kathryn J. Saunders

“…Higher levels of physical activity were associated with higher sleep quality (Spearman’s rank, ρ = −0.28, P = 0.02). Conclusion. The present study found no significant relationship between morning salivary melatonin levels and refractive error or axial length in young adolescents. …”
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MATHEMATICAL MODELING IN THE CONTENT OF STUDENTS-ECOLOGISTS’ TRAINING OF MATHEMATICS by S. I. Toropova

“…The process of sequential selection of the best model of multiple regressions is presented, taking into account such criteria as determination coefficient, Zarembka test, standard regression error and approximation error.Conclusion. The listed criteria are satisfied by linear, inverse, power and exponential models. …”
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Prevalence and causes of blindness and vision impairment among people 50 years and older in Nepal: A national Rapid Assessment of Avoidable Blindness survey. by Sailesh Kumar Mishra, Ranjan Shah, Parikshit Gogate, Yuddha Dhoj Sapkota, Reeta Gurung, Mohan Krishna Shrestha, Islay Mactaggart, Ian McCormick, Brish Bahadur Shahi, Rajiv Khandekar, Matthew Burton

“…<h4>Conclusion</h4>The prevalence of blindness was higher among women than men and varied by province. …”
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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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