Evidence synthesis in neuromyelitis optica spectrum disorders: modeling a clinical trial based on published data by D. G. Tolkacheva, I. V. Fateev, K. V. Sapozhnikov, O. N. Mironenko, A. A. Lazarev, V. D. Batorova, A. A. Porozova, A. V. Zinkina-Orikhan

“…The minimum EES required to achieve a power of 90 % when testing the hypothesis of superiority in the ARR at 6 months for divosilimab therapy compared with placebo with a one-sided type I error probability of 0.05 is 35 people.   Conclusion. …”
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Two-Year Post-Market Surveillance of iStent inject® W Combined with Phacoemulsification in Japanese Open-Angle Glaucoma Eyes by Inatani M, Kohama I, Chu A

“…At M24, the estimated reductions in mean (standard error) IOP and number of medications were 2.0 (0.5) mmHg and 1.9 (0.4), respectively, in the cohort. …”
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Prevalence of Anemia in Pregnant Women Attending a Healthcare Facility in Multan: A Cross-Sectional Study by Imtiaz Hussain, Talha Rasheeq, Aamena Gardezi, Shahid Mukhtar, Muhammad Tahir, Huzaifa Nazir Siddiqui

“…Nutrition counseling and healthy dietary habits significantly decreased the risk of anemia (P< .0001). Conclusion: Anemia is a significant health concern in pregnant women, with the highest prevalence during the first trimester. …”
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Cross-cultural adaptation: South African Gestational Diabetes Mellitus Knowledge Questionnaire by Lorisha Manas, Tawanda Chivese, Ankia Coetzee, Magda Conradie, Linzette D. Morris

“…Test–retest reliability found kappa (standard error [s.e.]) values ranged between −0.03 (0.18) and 0.89 (0.13) for the English version, between −0.07 (0.18) and 0.53 (0.13) for the Afrikaans version and between 0.28 (0.18) and 0.87 (0.17) for the isiXhosa version. …”
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Machine learning-based spirometry reference values for the Iranian population: a cross-sectional study from the Shahedieh PERSIAN cohort by Mohammad Sadegh Loeloe, Reyhane Sefidkar, Seyyed Mohammad Tabatabaei, Amir Houshang Mehrparvar, Sara Jambarsang

“…The validation criterion was the mean squared error (MSE) based on 5-fold cross-validation.ResultsThis study included 473 female participants and 525 male participants. …”
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Using machine learning to predict the rupture risk of multiple intracranial aneurysms by Junqiang Feng, Chunyi Wang, Yu Wang, He Liu, He Liu

“…Overall, the model achieved an accuracy of 0.797 and an AUC of 0.843.ConclusionOur model provides a novel approach to predicting rupture risk in MIAs, complementing existing tools like the PHASES score. …”
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Modern Epidemic Situation of Parenteral Viral Hepatitis and Drug Addiction in the Russian Federation and Moscow by Yu. B. Novikova, A. A. Asratyan, E. V. Rusakova

“…To assess the significance of differences between the compared values, the statistical significance error (p) were calculated based on the calculation of Student's test (t). …”
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Predicting Oncological and Functional Outcomes by Nephrectomy Type for T1 Renal Tumors Using Machine Learning Models by Dongrul Shin, Maisy Song, Jungyo Suh, Cheryn Song

“…The 2 models were integrated into a single online interface. Conclusion We developed a tool to reliably predict 5-year oncological and renal functional outcomes following each nephrectomy type in patients with T1 renal tumors. …”
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Investigation of CO2 hydrate growth kinetics in gas-dominated systems by Changjun LI, Sen DONG, Wenlong JIA, Fan YANG, Qian GAO, Jiankun YANG

“…The growth rate was influenced by system temperature and pressure; higher pressures and lower temperatures resulted in faster growth rates. ConclusionThe average relative error of the modified model in predicting hydrate growth rates decreased from 82.55％ to 10.74％, significantly enhancing the accuracy of predictions in gas-dominated systems under low flow rates.…”
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Psychometric Properties for the Safety Attitudes Questionnaire in Child and Youth Health Clinics and School Health Services: A Validation Study by Ingrid Oma Langeland, Eva Langeland, Ellen C. T. Deilkås, Elin Salemonsen, Roy M. Nilsen, Dag Hofoss, Gunnar Tschudi Bondevik

“…The CFA indicated a satisfactory model fit (ꭓ2/df, root mean square error of approximation [RMSEA], PCLOSE and Hoelter 0.05). …”
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Empowering sustainable development: revolutionizing agricultural green total factor productivity through rural digitalization by Fanjun Zeng, Fanjun Zeng, Yingying Zhou, Yingying Zhou, Bin Wei, Bin Wei

“…Specifically, the study conducts benchmark regression analysis, endogeneity tests, robustness tests, mechanism examinations, and heterogeneity tests.Results(1) DRD significantly enhances AGTFP, a conclusion that remains robust following the province-year clustering robust standard error estimates, winsorization tests, and excluding COVID-19-affected years. (2) Mechanistic analysis indicates that DRD primarily boosts AGTFP by promoting the development of digital inclusive finance (DIF) and facilitating the integration of primary, secondary, and tertiary industries (IPST). (3) Heterogeneity tests show that the positive impact of DRD on AGTFP is more pronounced in regions with higher levels of informatization and central regions of China.DiscussionTo harness DRD’s potential more effectively in fostering sustainable agricultural development, policymakers should concentrate on DIF and the IPST. …”
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A comparative analysis of the results of corneal astigmatism correction by toric IOL using various markup methods by I. E. Ioshin, A. O. Murashev, A. N. Demin

“…The difference vector (DV) in the two groups was 0.37 and 0.31 D, respectively, suggesting highly precise astigmatism correction. The average error angle (AOfE) in group 1 was 3.29°, and in group 2 — 3.29°. …”
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Application of the 2021 AAPOS Guidelines in Clinics with Revision and Validation of SPOT Referral Criteria by Li R, Yan Q, Lin X, Wu Z, Zhu H, Guo W, Zhang P, Zuo F, Wu Z, Liu H, Huang D

“…The Youden index for several existing referral criteria ranged from 0.08 to 0.53 in detecting ARFs & VSRE and from 0.08 to 0.48 for ARFs, VSRE, and amblyopia.Conclusion: The study proposes the “Nanjing Referral Criteria” and its modified version with enhanced specificity for the Spot Vision Screener to optimize vision screening in children. …”
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Fructose-1,6-bisphosphatase deficiency as a cause of recurrent hypoglycemia and metabolic acidosis: Clinical and molecular findings in Malaysian patients by Lip Hen Moey, Nor Azimah Abdul Azize, Yusnita Yakob, Huey Yin Leong, Wee Teik Keng, Bee Chin Chen, Lock Hock Ngu

“…Background: Fructose-1,6-bisphosphatase (FBPase) deficiency is a rare autosomal recessive inborn error of gluconeogenesis. We reported the clinical findings and molecular genetic data in seven Malaysian patients with FBPase deficiency. …”
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Job stress and patient safety culture: a qualitative study among hospital nurses in Palestine by Loai M. Zabin, Jamal Qaddumi, Sajed Faisal Ghawadra, Maher M. Battat

“…Factors such as teamwork, workload, staffing, communication, conflict with colleagues, lack of support, and error reporting significantly influence job stress and patient safety culture. …”
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Hydrodynamic simulation experiment of tidal pump in strait waters by W.S. Pranowo, K. Malik, D. Adrianto, A. Kurniawan

“…This study revealed that the K₁ amplitude experienced the most notable increase during a supermoon event, indicating a likely strong correlation.CONCLUSION: The findings demonstrate the significant role of tidal pumping in shaping the hydrodynamics of the Bangka Strait, with implications for nutrient mixing and material transport. …”
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The Impact of Training Distances (20 m, 50 m, and 70 m) on Concentration and Anaerobic Endurance in Archery Sub-Elite Athletes by Lilies Handayani, Nurhasan Nurhasan, Hari Setijono, Oce Wiriawan, Dwi Cahyo Kartiko, Mochamad Purnomo, Afif Rusdiawan, Muhammad Labib Siena Ar Rasyid, José Vicente García Jiménez

“…In the concentration variable (time), all groups had a p-value <0.05, while in the concentration variable (error), there were only two groups (NEAR and CON) that had a p-value <0.05. …”
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Viewpoint of physicians and pharmacists on electronic prescription service: Short Communication by Maryam Barazandeh, Azam Salehzadeh, Malihe Ram, Ahmad Negahban, Arash Shirdel, Razieh Farrahi

“…Based on a standard deviation of 0.9, an acceptable margin of error of 0.2, and a 20% anticipated dropout rate, a sample size of 100 physicians and pharmacists was determined and recruited using convenience sampling. …”
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Effectiveness of intelligent robotic-assisted training system combined with repetitive facilitative exercise on upper limb motor function after stroke: a randomized controlled tria... by Jing-Zhi Zhang, Jun Chen, Xiao-Long Liu, Lin-Bo Yan, Si-Mao Xu

“…Additionally, TD and TTE were significantly lower in the IRAT group than in the RFE and CT groups. Conclusion IRAT combined with RFE was more effective in improving the upper limb motor function than RFE or CT after stroke. …”
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Comparison of spatial prediction models from Machine Learning of cholangiocarcinoma incidence in Thailand by Oraya Sahat, Supot Kamsa-ard, Apiradee Lim, Siriporn Kamsa-ard, Matias Garcia-Constantino, Idongesit Ekerete

“…Model performance was evaluated using Root Mean Square Error (RMSE) and R2 with 70:30 train-test validation. …”
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