The Contribution of Real-Time Artificial Intelligence Segmentation in Maxillofacial Trauma Emergencies by Amjad Shhadeh, Shadi Daoud, Idan Redenski, Daniel Oren, Adeeb Zoabi, Fares Kablan, Samer Srouji

“…Traditional segmentation methods are time-consuming and error-prone, particularly in high-pressure settings. …”
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Approaches to evaluation of neurocognitive profile in patients with residual schizophrenia depending on a history of cerebral stroke by D. M. Safonov, V. I. Darii, O. M. Stoianov, A. D. Horodokin, K. V. Gapon

“…This group has also shown relatively poor results in planning (p ≤ 0.05), error correction (p ≤ 0.05), inhibition (p ≤ 0.05) and flexibility (p ≤ 0.05). …”
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The reactivity of cinnamic acid derivatives as lignin precursors by O. K. Karimov, G. Y. Kolchina, G. A. Teptereva, I. A. Chetvertneva, E. K. Karimov, A. R. Badretdinov

“…The obtained values were consistent (within the limits of error) with the experimental data as well as the results described in earlier works’ calculations by other methods.…”
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Development of the nursing practice scale to enhance resilience in family caregivers and evaluation of its reliability and validity by Ruxin Lei, Kazuaki Tanabe, Chie Teramoto, Hiroyuki Sawatari, Mikako Yoshihara, Hisae Nakatani

“…The model fit indices were χ2/df = 2.456, comparative fit index = 0.907, Tucker-Lewis index = 0.885, and root mean square error of approximation = 0.076 (p < 0.001). Conclusions We developed a scale with 14 items across three factors to assess nurses’ practices in enhancing family caregivers’ resilience and confirmed its reliability and validity. …”
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Evaluation of the influence of hydrodynamic cavitation treatment of dark petroleum products on the yield of fractions with boiling points up to 400°C by B. V. Peshnev, E. V. Burlyaeva, V. B. Terenteva, D. V. Nikishin, A. I. Nikolaev, K. S. Andronov

“…The prediction error did not exceed 12%. The equation analysis and comparison of energy consumption between different process regimes shows that a higher yield of the target product is achieved by increasing pressure gradient rather than the number of processing cycles.…”
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Reliability of a VO2-derived running-speed threshold in trained men by Marialaura Espaillat, David M. Falkins, Brandi Antonio, David H. Fukuda, Jeffrey R. Stout

“…RSVO2 thresholds occurred at an average of 72.6% of the top stage completed during the GXT.Conclusions An eight-minute, multi-intensity protocol yields a highly reliable VO₂-based running-speed threshold in trained men. …”
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Endoscopic management of hemorrhagic pancreatic fluid collections: A propensity‐matched analysis by Rishi Pawa, Robert Dorrell, Greg Russell, Madison Nguyen, Clancy Clark, Girish Mishra, Swati Pawa

“…The 1‐year survival estimate was 73.3% (standard error = 11.4) in the hPFC group and 88.9% (6.1) in the nhPFC group (p = 0.16). …”
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Simplified Medication Adherence Questionnaire (SMAQ) for People Living With HIV in a National Hospital in Mexico: Instrument Validation Study by Luis Eduardo Del Moral Trinidad, Luz Alicia González Hernández, Jaime Federico Andrade Villanueva, Pedro Martínez-Ayala, Adriana Valle Rodríguez, Vida Veronica Ruíz Herrera, José Adán Vizcaíno Résendiz, Melva Guadalupe Herrera Godina, Sergio Dominguez-Lara

“…The SMAQ showed sufficient structural validity (comparative fit index=1, root-mean-square error of approximation=0, 90% CI 0-0.085) with satisfactory factor loadings on most questions except item 2 (Do you always take your medication at the prescribed time?). …”
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Stability of Blood DNA Methylation Across Two Timepoints in Three Cohorts by Mikołaj Danielewski, Jarosław Walkowiak, Karolina Wielgus, Jan Krzysztof Nowak

“…We found only 239 probes that were highly stable based on both the maximum MAD (<5th percentile, <0.01) and ICC criterion (>95th percentile, >0.74). <b>Conclusions:</b> The whole-blood DNA methylation profile, as measured using microarrays, is dynamic over >1 year, but contains a fraction of stable probes, most of which are related to genomic variation. …”
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Caregivers’ challenges in engaging with the health system to optimise medication management of older care recipients: a qualitative study including home visits by Marja Airaksinen, Marika Pohjanoksa-Mäntylä, Sirkka-Liisa Kivelä, Shane Desselle, Annika Kiiski, Elisa Luoma

“…The interview data were qualitatively analysed using the framework method with a combination of the inductive and deductive approaches. Human error theory with systems approach and prospective risk management was used as a theoretical framework.Setting Family caregiving of older adults.Participants 21 officially contracted family caregivers and their older (≥65 years) care recipients using &gt;1 prescription medicine from the capital region of Finland.Results Three conceptual models were constructed: (1) to position family caregiving in the public social and healthcare system, (2) to identify challenges and (3) needs for development in medication management prioritised from challenges. …”
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Comparison of pulse oximetry and earlobe blood gas with CO-oximetry in children with sickle cell disease: a retrospective review by Subarna Chakravorty, Michele Arigliani, David Rees, Atul Gupta, Cara J Bossley, Gary Ruiz, Sean Zheng

“…In 9/39 (23%) cases, the difference in SpO2–SaO2 was greater than the expected error range ±2%, with SaO2 more often underestimated by SpO2 (6/9), especially at SpO2values ≤93%. …”
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Empirical versus estimated accuracy of imputation: optimising filtering thresholds for sequence imputation by Tuan V. Nguyen, Sunduimijid Bolormaa, Coralie M. Reich, Amanda J. Chamberlain, Christy J. Vander Jagt, Hans D. Daetwyler, Iona M. MacLeod

“…We also found that imposing an Rsqsoft filter has a positive impact on genomic regions with poor imputation accuracy due to large segmental duplications that are susceptible to error-prone alignment. Overall, our results showed that on average the imputation accuracy for INDEL was approximately 6% lower than SNP for all software programs. …”
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An artificial intelligence and machine learning-driven CFD simulation for optimizing thermal performance of blood-integrated ternary nano-fluid by Mohib Hussain, Du Lin, Hassan Waqas, Qasem M. Al-Mdallal

“…Regression scores equal to 1 indicate a good match between the actual data and the predictions. Conclusively, the proposed investigation provides insightful AI, ML and CFD-proposed analysis of blood-based nano-particles which can improve imaging techniques, provide tailored drug delivery, reduce hyperthermia, improve blood flow, and show potential for application in medicine.Highlights Artificial intelligence and machine learning-based CFD simulation of the blood-mediated tri-hybrid nano-fluid flow is presented.An improved finite difference scheme (the Keller-Box method), is utilized to numerically evaluate the problem.The LMA-ANN forecasts with an absolute error range of [Formula: see text] to [Formula: see text] relative to the actual data.Regression scores equal to 1 indicate a strong correlation between forecasts and actual data.…”
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Translation and validation of the Chinese version of quality of physician-patient interaction scale by Jing Li, Thitipong Tankumpuan, Aurawamon Sriyuktasuth, Patricia M. Davidson

“…The remaining 326 participants were used for confirmatory factor analysis and other validity assessments. confirmatory factor analysis indicated good model fit (χ²/df = 2.338, Root Mean Square Error of Approximation = 0.064, Incremental Fit Index = 0.937, Comparative Fit Index = 0.963, Tucker-Lewis Index = 0.955, and Root Mean Square Residual = 0.031). …”
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Comparing NIRS and Pulse Oximetry for Cerebral Oxygen Saturation During Hypoxia Testing by Vasilios Alevizakos, Andreas Werner, Lisa-Marie Schiller, Constantin von See, Marcus Schiller

“…NIRS is less error-prone, supporting its use for continuous monitoring in aviation settings and enhancing flight safety by providing more accurate hypoxia detection.…”
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Predictive value of systemic immune inflammation index combined with coagulation index in traumatic coagulopathy in patients with severe trauma by Chen Wang, Yongyong Huang, Shiyun Liao, Jiming Song

“…The sensitivity and specificity were 80.3, 84.2 respectively. Conclusions: SII combined with coagulation index has high predictive value for TIC in patients with severe trauma. …”
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Assessing the Test-Retest Reliability of MyotonPRO for Measuring Achilles Tendon Stiffness by Krystof Volesky, Jan Novak, Michael Janek, Jakub Katolicky, James J. Tufano, Michal Steffl, Javier Courel-Ibáñez, Tomas Vetrovsky

“…Reliability was calculated using the intraclass correlation coefficient (ICC), its 95% confidence interval, coefficient of variation, standard error of measurement, and minimal detectable change. …”
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Prevalence and associated factors of myopia among school children in Bahir Dar city, Northwest Ethiopia, 2019. by Abel Sinshaw Assem, Mebratu Mulusew Tegegne, Sofonias Addis Fekadu

“…Myopia was defined as spherical equivalent refractive error of ≥ 0.5 diopter in either eye. Data were entered into Epi Info version 7 and exported to Statistical Package for Social Sciences version 23 for analysis. …”
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Machine learning survival models for Non-alcoholic fatty liver disease based on a health checkup cohort by Hongyu Zhang, Li Zhang, Na Li, Yongsheng Zhang, Xiaowen Zhang, Dawei Wang

“…The integrated area under the curve (iAUC), the time-dependent area under the curve (tAUC), the integrated Brier score (iBS), and the time-dependent prediction error (PE) were used to evaluate the discrimination and calibration of our models. …”
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From Binary to Multi-Class Classification: A Two-Step Hybrid CNN-ViT Model for Chest Disease Classification Based on X-Ray Images by Yousra Hadhoud, Tahar Mekhaznia, Akram Bennour, Mohamed Amroune, Neesrin Ali Kurdi, Abdulaziz Hadi Aborujilah, Mohammed Al-Sarem

“…These results underscore the model’s potential in improving diagnostic accuracy and reliability for chest disease classification based on X-ray images. Conclusions: The proposed hybrid CNN-ViT model demonstrates substantial potential in advancing the accuracy and robustness of CAD systems for chest disease diagnosis. …”
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