Cerebral Haemodynamic Assessment Following Sport-related Concussion (Mild Traumatic Brain Injury) in Youth and Amateur Rugby Union Players by Ben Jones, Mohammadreza Jamalifard, Sally Waterworth, Mike Rogerson, Javier Andreu-Perez, Jay Perrett, Edward Hope, Jason Moran, Tom Adams, Jyotpal Singh, Patrick Neary, Chris E. Cooper

“…Mixed linear models were utilised to assess the effect of group and time on fNIRS measures of oxyhaemoglobin (∆O2Hb) and deoxyhaemoglobin (∆HHb) during performance tasks. Typical Error (TE) i.e., normal biological fluctuation and measurement error, was calculated to identify ‘cut-off’ thresholds for identifying effects of concussion. …”
Get full text

Random Forest Regression May Become the Optimal Regression Model for Osteoarthritis of the Knee in Elderly, in the Context of Embodied Cognition and Psychosomatic Medicine by Ma G, Chen J, Li J, Shi H, Chen Y

“…Five regression techniques—non-negative linear regression, stochastic gradient descent (SGD), AdaBoost, Random Forest, and Gradient Boosting Decision Trees (GBDT)—were evaluated using R², mean squared error (MSE), and mean absolute error (MAE). Bootstrap resampling and the Kruskal–Wallis test were applied to ensure robustness and compare model coefficients.Results: Random Forest regression achieved the highest performance (R² = 0.687, MSE = 0.589, MAE = 0.785), followed by AdaBoost. …”
Get full text

Heart-rate and rating-of-perceived-exertion running-speed thresholds show acceptable test-retest reliability by Logan Sallas, Brandi Antonio, David H. Fukuda, Jeffrey R. Stout

“…HR provides tighter error bands, yet RPE remains a practical alternative when instrumentation is unavailable. …”
Get full text

Lower extremity functional performance tests and their measurement properties in athletes: a systematic review and narrative synthesis by Alison Rushton, Nicola R Heneghan, Lee Herrington, James Martin, Rosalyn Cooke, Andy Soundy

“…Side hop, functional movement screen and landing error scoring system showed moderate certainty for one measurement property. …”
Get full text

Effectiveness and Safety of Intravitreal Brolucizumab for Diabetic Macular Edema After Vitrectomy: A Before-and-After Study at a Specialized Center in Japan by Saito K, Akiyama H

“…However, CST (mean±standard error) significantly improved from baseline (558± 36.3 μm) to 6 months (338± 27.1 μm [P< 0.05]) and 1 year (307± 20.4 μm [P< 0.05]). …”
Get full text

Functional Index Questionnaire: structural validity study in Brazilian patients with anterior knee pain by André Pontes-Silva, Almir Vieira Dibai-Filho, Flávio de Oliveira Pires, Carlos Eduardo Girasol, Gabriel Gardhel Costa Araujo, Plínio da Cunha Leal, José Djalma Arrais Junior, Cid André Fidelis-de-Paula-Gomes, Christian Emmanuel Torres Cabido

“…We used CFA and the following fit indices: chi-square/degrees of freedom (DF), comparative fit index (CFI), Tucker–Lewis index (TLI), root mean square error of approximation (RMSEA), and standardized root mean square residuals (SRMR). …”
Get full text

Relationships between muscle strength, lung function, and cognitive function in Chinese middle-aged and older adults: A study based on the China health and retirement longitudinal... by Yixuan Ma, Xinze Wu, Yinjiao Zhao, Weihao Hong, Yisheng Luan, Peiyu Song, Bing Zhang

“…Specifically, PEF played a substantial mediating role in linking grip strength to cognitive function scores (estimated indirect effect = 0.0132, boot-strapped standard error = 0.0015, boot-strapped standard 95% confidence interval = 0.0104, 0.0162). …”
Get full text

On the Convergence of Maximum Likelihood Expectation–maximization Algorithm for Iterative Tomographic Reconstruction and the Role of Spatial Frequency, Location, Pixel Intensity, C... by Mohsen Qutbi

“…The original and reconstructed images were compared in each iteration using different performance metrics, error or discrepancy (mean squared error [MSE]), similarity (structural similarity index [SSIM]), and distance (Kullback–Leibler divergence). …”
Get full text

IoT‐Based Elderly Health Monitoring System Using Firebase Cloud Computing by Adhan Efendi, Muhammad Imam Ammarullah, Indra Griha Tofik Isa, Meli Puspita Sari, Jasmine Nurul Izza, Yohanes Sinung Nugroho, Hamid Nasrullah, Denny Alfian

“…Device validation is conducted by involving six participants to measure the real‐time data of heart‐rate, oxygen saturation, and body temperature, then analysed by mean average percentage error (MAPE) to define error rate. A comparative experiment is conducted to define the optimal supervised machine learning model to be deployed into the system by analysing evaluation metrics. …”
Get full text

Impact of TAK-003 on epidemiologic, economic and quality-of-life burden of dengue: comparison of the results from a dynamic transmission model and a static model with a dynamic com... by Elizaveta Kharitonova, Dr Jing Shen, Anna Tytula, Justyna Zawieja, Yaneth Gil Rojas, Samuel Aballea, Riona Hanley

“…The goodness of fit was assessed by visual assessment and two formal goodness-of-fit metrics (mean absolute error and root mean squared error). Results: The combination of 2-month-cycle and 2-month-lag was found to provide the closest fit with the dynamic model for all timeframes between 1–30 years, on outcomes of predicted cases averted, costs savings and disability-adjusted-life-years (DALYs) averted. …”
Get full text

Test agreement between GeneXpert and urine lipoarabinomannan test for tuberculosis diagnosis among children in Ethiopia by Daniel Derese, Takele Teklu, Abera Kumalo, Tariku Chinasho, Temesgen Anjulo

“…The agreement between the two tests was assessed using Kappa statistics with the standard error (SE), concordance, and disagreements statistics. …”
Get full text

Intraocular Lenses Optic Power Calculation in Extremely Short Eyes by К. B. Pershin, N. F. Pashinova, I. A. Likh, А. Yu. Tsygankov, S. L. Legkikh

“…In group I, the maximum average estimation error was determined for the formula Haigis (0.88 ± 0.35), then for the formula Olsen, Barrett Universal II, Kane, SRK / T, Holladay 2 and Hoffer-Q (0.51 ± 0.12, 0.16 ± 0.38, 0.13 ± 0.28, 0.10 ± 0.59, 0.05 ± 0.54 and –0.12 ± 0.42, respectively). …”
Get full text

The simplified Chinese version of the Nonrestorative Sleep Scale in Chinese young adults and measurement invariance across language and age by Yanzhe Wang, Weijie Gong, Daniel Yee Tak Fong, Ziyuan Yu, Ruiheng Nong, Xingchen Shang, Zheng Lin, Sha Li

“…Results In the 570 participants of Study 1 (28.8% male, age 20.2 ± 1.5 years), the EFA revealed a four-factor structure. The root mean square error of approximation, comparative fit index, and standardized root mean square residual in the CFA model were 0.053, 0.995, and 0.054, respectively. …”
Get full text

The correlation between lower limb spasticity and proprioceptive dysfunction in post-stroke patients by Shiai Gao, Zifu Yu, Xihua Liu

“…The degree of lower limb spasticity was evaluated by the modified Ashworth Scale (MAS), and the proprioceptive assessment module of the Pro-kin balance system was used to quantitatively detect the mean trajectory error (ATE) and the average weight-bearing asymmetry (AWA). …”
Get full text

Sequencing and Integration of Cervical Manual Therapy and Vestibulo-oculomotor Therapy for Concussion Symptoms: Retrospective Analysis by Christopher Kevin Wong, Lauren Ziaks, Samantha Vargas, Tessia DeMattos, Chelsea Brown

“…Clinical measures improved including cervical range-of-motion (55.6% fully restored), benign paroxysmal positional vertigo symptoms (28/28, fully resolved), Brock string visual convergence (p<0.001, 95%CI=3.3-6.3), and score on the Balance Error Scoring System (p<0.001, 95%CI=5.5-11.6). # Conclusion A rehabilitation approach for post-concussion syndrome that sequenced cervical dysfunction and benign paroxysmal positional vertigo treatment within the first three weeks of injury followed by integrated vision and vestibular therapy improved clinical and patient-reported outcomes. …”
Get full text

Comparison of Markowitz Model and DCC-tCopula-LVaR for Portfolio Optimization in the Tehran Stock Exchange by Gholamreza Taghizadegan, Gholamreza Zomorodian, Mirfeiz Fallahshams, Rasoul Saadi

“…Also, as the value at risk increases, the Sharp value of the DCC-tCopula-LVaR model decreases compared to the Markowitz model.Conclusion: Numerical experiences in the presented empirical analysis, Sharpe ratio, and two loss measures mean absolute value of error (MAE), as well as the root mean square error (RMSE) show that for an arbitrary portfolio, using the DCC t-Cupola LVaR model at a low-risk level is more efficient than the Markowitz model. …”
Get full text

Estimación de rendimiento en el cultivo de caña de azúcar (Saccharum officinarum) a partir de fotogrametría con vehículos aéreos no tripulados (VANT) by Bryan Alemán Montes, Carlos Henríquez Henríquez, Tatiana Ramírez Rodríguez, Kenneth Largaespada Zelaya

“…La relación entre las TMH obtenidas en campo y las estimadas a partir del modelo de regresión lineal creado con la altura del cultivo fue de un R2 de 0,83. El error absoluto de la estimación de rendimiento, a partir de altura de planta, fue de 3,7 ton.ha-1, el error residual estándar de 6,3 ton.ha-1 y el RMSE de 5,63 ton.ha-1. …”
Get full text

Acceptability and usability of oral fluid HCV self-testing among health-facility users from Brazil: a cross-sectional study of 685 participants by Hugo Perazzo, Cristiane Villela-Nogueira, Maria K. Gomes, Andre Daher, Cristiane Siqueira-do-Valle, Ketiuce Zukeram, Ana Cristina G. Ferreira, Karen Cristine Tonini, Elton Carlos de Almeida, Sandra W. Cardoso, Beatriz Grinsztejn, Valdilea G. Veloso

“…Usability was assessed by observed errors and documented need of assistance by a Healthcare Worker (HCW). …”
Get full text

Modeling Factors Influencing Project Financing Risk by Gholamreza Sharafi, Kiamars Fathi Hafashjani, Faegh Ahmadi

“…This surpasses the critical t-value at the 5% error level, underscoring the statistically significant influence of financing methods on political risk. …”
Get full text

Nivel de satisfacción de la simulación clínica en estudiantes de fisioterapia de una institución de educación superior de la ciudad de Cali-Colombia (Satisfaction level of clinical... by Nathali Carvajal, Jorge Enrique Daza Arana, Diana Carolina Urrea Arango, Alejandro Segura Ordoñez, Camila Vásquez Moreno, Alvaro Santiago Solarte Rosero, Karen Pinto Narváez

“…Esta metodología de enseñanza facilita la integración de los conocimientos teóricos con la práctica, permitiendo a los estudiantes, aprender del ensayo-error, disminuir la probabilidad de lesión en pacientes y vivenciar situaciones lo más parecidas a la realidad.  …”
Get full text