Healthcare workers' priorities of WHO snakebite strategic objectives for the control and prevention of snakebite envenoming in Ghana: A machine learning statistical design of exper... by Eric Nyarko, Iddrisu Abugbil Atubiga, Emmanuel Tetteh Siame, José María Gutiérrez, Eduardo Alberto Fernandez

“…To compare the performance of these models, we used several key metrics, including Akaike Information Criterion corrected (AICc), the Bayesian Information Criterion (BIC), the Root Average Squared Error (RASE), negative log-likelihood, and the total time taken to fit each model.…”
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Design and test of a double-row high-speed precision corn seed metering device with guided side-filling and posture control by Wei SU, Bo YUAN, Qinghui LAI, Shengwu ZHOU, Yuan WAN, Ruye LI

“…Bench validation tests indicated that at 12 km/h, the qualified index reached 91.45%, showing a relative error of 0.79% compared to the simulation results, thereby confirming the reliability of the simulation optimization. …”
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Scalable AI-driven air quality forecasting and classification for public health applications by Mohammad Wasil Jalali, Bahir Saidi, Habibullah Farahmand, Mohammad Aref Rezvan Panah, Eda Nur Saruhan

“…Results The TSMixer model stood out in regression tasks, achieving a high R² score of 0.9861 and a low mean squared error (MSE) of 0.0278. In classification tasks, the Random Forest model performed best with an accuracy of 99.96%, slightly outperforming XGBoost at 99.48%. …”
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The Effect of Digital Addiction Training on University Students’ Digital Addiction, Sleep Quality, and Orexin-A Levels: Randomized Controlled Trial by Zehra İncedal Sonkaya, Burak Yazgan

“…In all statistical analyses, Type I error margin was set as p <.05. Results Intervention group students showed significant changes in the Pittsburgh Sleep Quality Index (t (19) = 6.28, p <.001, d = 1.40), Digital Addiction total (t (19) = 8.11, p <.001, d = 1.81) and its sub-subscales of Overuse (t (19) = 6.35, p <.001, d = 1.42), Non-restraint (t (19) = 5.07, p <.001, d = 1.13), Emotional State (t (19) = 4.17, p <.001, d = 0.93), and Dependence (t (19) = 3.85, p <.01, d = 0.86) scores. …”
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Systemic lupus erythematosus and risk factors for adverse outcomes in pregnancy: a single center retrospective cohort study in Northern Brazil by Sérgio Henrique Oliveira dos Santos, Juliana Bühring, Luiz Fernando de Souza Passos, Bárbara Seabra Carneiro, Domingos Sávio Nunes de Lima, Sandra Lúcia Euzébio Ribeiro

“…According to the post-hoc analysis, the probability of a Type S error in the ASA association was 100%. The retrospective nature and the presence of missing data about laboratory tests are the main limitations of this study. …”
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Changes in choriocapillaris blood flow density and associated factors affecting axial elongation in Chinese children and adolescents with mild to moderate myopia: a cross-sectional... by Xin Cui, Liping Chen, Hui Zheng, Xin Meng, Lu Tian, Bin Wu, Shiyong Xie, Wei Wang, Xuefeng Shi

“…A total of 288 participants aged 8 to 15 years were recruited from Tianjin Eye Hospital, including 186 children and adolescents with myopia and 102 age-matched participants without refractive error who served as the control group. Based on cycloplegic spherical equivalent (SE), the myopic participants were further categorized into moderate and mild myopia groups. …”
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A patient-reported questionnaire for evaluating utilization of the National Essential Public Health Service Program in China among older adults with hypertension and diabetes by Lu Liu, Meicen Liu, Linghe Yang, Xinyue Chen, Yuanli Liu, Lili You

“…The fit indices for the hypertension model included a Bollen–Stine bootstrap chi-square to degrees of freedom ratio (χ2/df) of 1.78, root mean square error of approximation (RMSEA) of 0.03, and goodness-of-fit index (GFI) of 0.97. …”
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Building radiomics models based on ACR TI-RADS combining clinical features for discriminating benign and malignant thyroid nodules by Xingxing Chen, Xingxing Chen, Lili Zhang, Bin Chen, Jiajia Lu

“…The calibration curve demonstrated that the mean absolute error in the training group was just 0.020 and in the test cohort was 0.033. …”
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Modeling of Ultrasonic Flaw Detection Processes in the Task of Searching and Visualizing Internal Defects in Assemblies and Structures by B. V. Sobol, A. N. Soloviev, P. V. Vasiliev, A. A. Lyapin

“…When analyzing the impact of defect size on the accuracy of the neural network, it is found that the visualization error increases for defects of smaller size. It has also been found that the relative speed of sound in materials has a greater effect on the accuracy of the method than the relative density of the material. …”
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Spectrum of Scleral Lens Fit and Patient Compliance: A Single Center Retrospective Study by Oğuzhan Özçelik, Zeynep Özbek, Canan Aslı Yıldırım, İsmet Durak

“…Twenty-three eyes (46.9%) had keratoconus, 11 eyes (22.4%) had refractive error after penetrating keratoplasty, 7 eyes (14.3%) had irregular astigmatism due to corneal scar, 4 eyes (8.2%) had advanced stage Steven-Johnson syndrome, 2 eyes (4.1%) had corneal perforation repair, and 2 eyes (4.1%) had severe dry eye. …”
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Antibioticoterapia profilática e/ou terapêutica em pacientes submetidos à cirurgia plástica estética: uma necessidade? Prophylactic antibiotic therapy and/or therapeutic in patient... by Gonçalves Aparecido Dias

“…<br>INTRODUCTION: Antibiotic therapy and therapy is often used in error by the surgeon to prevent infection, causing losses to the patient and contributing to the selection of resistant bacteria antibiotics. …”
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SAHVAI‐3D and 4D: Automated AI Volumetric Measurement of Subarachnoid Hemorrhage on Noncontrast Head CT by Melina Wirtz, Saif Salman, Yujia Wei, Vishal N. Patel, Rohan Sharma, Vikash Gupta, Qiangqiang Gu, Benoit Dherin, Sanjana Reddy, Rabih G. Tawk, Bradley J. Erickson, W. David Freeman

“…SAHVAI demonstrated an accuracy of 99.8%, Dice score of 0.701, false‐positive rate of 0.0005, and negative predictive value of 0.999. The mean absolute error between SAHVAI and manual methods was 5.67 mL. …”
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Psychometric assessment of the Moroccan version of the car, relax, alone, forget, friends, trouble (CRAFFT) scale among adolescent and young adults with a substance use disorder by Hicham El Malki, Abdelfettah El-Ammari, Salma Ghofrane Moutawakkil, Samir Elgnaoui, Fatima El Houari, Karima El Rhazi, Btissame Zarrouq

“…Results CFA revealed a one-factor structure with a good overall fit (χ²/df = 1.91, Root Mean Square Error of Approximation (RMSEA) = 0.06, Standardized Root Mean Square Residual (SRMR) = 0.03, Comparative Fit Index (CFI) = 0.98, Normed Fit Index (NFI) = 0.97. …”
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Effectiveness and safety of direct oral anticoagulants in patients with atrial fibrillation and chronic kidney disease: a systematic review and meta-analysis of clinical trials by E. M. Mezhonov, Z. M. Safiullina, Y. A. Vyalkina, S. V. Shalaev

“…ROBINS-I and RoB2 tools were used to assess the systematic error of the research.Results. When searching the literature based on the chosen strategy, 1,895 publications were selected, some of which were excluded due to inconsistency with the inclusion criteria; as a result, 13 studies that did not have exclusion criteria were included in the analysis. …”
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Improving the quality of theoretical training of cadets with the help of information and communication technologies by V. V. Bulgakov

“…The results are confirmed by a statistical criterion based on the student’s distribution, with a possible relative error of not more than 5%.The demand of the Fire Test program among the Faculty is confirmed by the dynamics of its application for the organization of testing and control of theoretical training. …”
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Analysis of daytime land surface temperature in Iran based on the MODIS sensor output by Mahmoud Ahmadi, AbbasAli Dadashi Roudbari, Hamzeh Ahmadi

“…Land surface temperature zoning was conducted by using the geostatistical method of kriging with the lowest error rate and the highest precision in mountainous areas.Results and discussion: The statistical characteristics of LST in Iran during different months showed that the highest average of LST in Iran with 46.1 ° C was in July. …”
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GeaGrow: a mobile tool for soil nutrient prediction and fertilizer optimization using artificial neural networks by Olusegun Folorunso, Oluwafolake Ojo, Mutiu Busari, Muftau Adebayo, Joshua Adejumobi, Daniel Folorunso, Femi Ayo, Orobosade Alabi, Olusola Olabanjo

“…The model’s performance yielded a Mean Absolute Error (MAE) of 1.9750 for NPK and Organic Carbon prediction, 3.5461 for Soil Textural Composition prediction, and 0.1029 for pH prediction. …”
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Efficacy and safety of olanzapine for treatment of patients with bipolar depression: Chinese subpopulation analysis of a double-blind, randomized, placebo-controlled study by Wang G, Cheng Y, Wang J, Wu SH, Xue HB

“…Baseline-to-endpoint least-squares mean &amp;plusmn; standard error decrease in the Montgomery-&amp;Aring;sberg Depression Rating Scale total score in the olanzapine group (-13.55&amp;plusmn;0.80) was similar to that noted in the parent trial (-13.82&amp;plusmn;0.65). …”
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Study of Influence of Various Methods of Intraoperative Keratoprotection in Phacoemulsification of Senile Cataract on Morphological and Functional State of Ocular Surface Structure... by S. V. Tonkonogiy, О. V. Kolenko, A. V. Vasiliev

“…The developed method for predicting iatrogenic DES in patients after PE in SC is highly informative, because the number of patients in the 1st group with DES was within the expected range of error.…”
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Infectious pulmonary tuberculosis patients who inadvertently had spirometry in a tertiary care pulmonary service in southern India by Sangeeth Priyadarshan Veluchamy Rathakrishnan, Bharath Karthikeyan, Sai Vijaysree B, Barney TJ Isaac, Balamugesh Thangakunam, Christopher Devasahayam Jesudas

“…Only 4 patients (0.025%) had positive TB results at the time of spirometry and were missed during screening, indicating an error rate of 1 in 4,000. Of the 42 patients diagnosed with TB, most were being seen in the pulmonary medicine department (76.2%), were men (71.4%), and had normal BMI (55%). …”
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