Prevalence, Causes, and Risk Factors of Presenting Visual Impairment and Presenting Blindness in Adults Presenting to an Examination Center in Suzhou, China by Ruizhu Sun, Dan Huang, Zhenxing Liu, Tingting Zhu, Zheyao Gu, Ge Ma, Yun Wang, Chunyuan Zhang, Xiangying Luo, Zhigang Tang, Ting Xi, Fangfei Xie

“…In this study, serum creatinine, blood urea nitrogen, uric acid, triglycerides, and the systemic immune-inflammation index (SII) showed no association with visual impairment. Conclusion. The leading causes of PVI in Suzhou were uncorrected refractive error and cataracts. …”
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Reliability and Accuracy of Ultrasonographic Muscle Thickness Measurements: Evaluating Key Postural Stabilisers in Rehabilitation by Arkadiusz Żurawski, Natalia Barańska, Aleksandra Tomala, Edyta Majorczyk, Joanna Macierzyńska

“…The transversus abdominis demonstrated the highest measurement precision, with the lowest Standard Error of Measurement (SEM = 0.79-1.05 mm) and Minimal Detectable Change (MDC = 2.19-2.91 mm). …”
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Power of 3D Transrectal Ultrasonography and Magnetic Resonance Imaging in Diagnosis of Cryptogenic Rectal Fistulae by D. O. Kiselev, I. V. Zarodnyuk, Yu. L. Trubacheva, R. R. Eligulashvili, A. V. Мatinyan, I. V. Kostarev

“…The MRI error rate was 21.7% (20/92), with a statistically significant difference for sensitivity and overall accuracy (p < 0.0001). …”
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Study on the localization of tropical cyclone rainfall climatology and persistence model R-CLIPER by Ying LI, Weihua FANG, Yanting YE, Yuejun LI, Yefeng CHEN

“…Additionally, it was revealed that the error in TC precipitation simulations is influenced by factors such as model data sources, model framework, and parameterization schemes.…”
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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. …”
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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. …”
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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. …”
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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. …”
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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]). …”
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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

“…Therefore, the one-dimensional structure with eight items yielded an RMSEA value above the 0.08 cutoff point, suggesting a poorer fit and more residual error than is acceptable for a well-fitting model. …”
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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

“…Conclusion: The study highlights the importance of addressing declines in muscle strength and lung function to identify risk factors associated with cognitive function. …”
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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). …”
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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. …”
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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. …”
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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. …”
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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

“…Similar data were obtained for the average absolute error — for the formulas Haigis, Olsen, Barrett Universal II, SRK / T, Holladay 2, Hoffer-Q and Kane, it was 0.85 ± 0.31, 0.78 ± 0.25, 0.21 ± 0.10, 0.79 ± 0.23, 0.73 ± 0.24, 0.19 ± 0.08 and 0.17 ± 0.06, respectively. …”
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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. …”
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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). …”
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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. …”
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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. …”
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