Phase I Pharmacokinetics Study of Oral Administration of Esperavir® (INN: Molnupiravir) (LLC "PROMOMED RUS", Russia) by T. N. Komarov, N. S. Bagaeva, K. K. Karnakova, K. Ya. Zaslavskaya, P. A. Bely, I. E. Shohin

“…Molnupiravir exerts the antiviral effect by introducing copy errors during viral RNA replication – by that the replication of SARS-CoV-2 inhibits. …”
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Development and Validation of a Population Pharmacokinetics Model of Perampanel for Pediatric Epilepsy Patients for Optimized Dosing by Yu L, Mao F, Chen S, Liu J, Xiao J, Chen M, Luo H, Yu Z, Dai H

“…The relative standard errors (RSEs) for each fixed effect parameter were 15.2%, 14.2%, 12.0%, 7.92%, and 16.3%, respectively. …”
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Determinants of acceptance of patients with heart failure and their informal caregivers regarding an interactive decision-making system: a qualitative study by Alexander Palant, David R Thompson, Donna Fitzsimons, Hans-Peter Brunner-La Rocca, Loreena Hill, Casper Eurlings, Bettina Zippel-Schultz, Chantal F Ski, Lana J Dixon, Julia Brandts, Katharina Andrea Schuett, Lieven de Maesschalck, Matthew Barrett, Ermelinda Furtado da Luz, Thom Hoedemakers, Thomas Maria Helms

“…Finally, perceived risk for decision-making errors is a crucial topic in need of attention.Conclusion Patients and informal caregivers see clear benefits of digitalisation in healthcare. …”
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Validation of a tri-axial accelerometer for measuring physical activity in patients with subacute stroke by Yosuke Kimura, Yosuke Kimura, Yoshiki Suzuki, Yoshiki Suzuki, Hiroki Kubo, Hiroki Kubo, Keishi Yoshida, Keishi Yoshida, Tomohiro Ota, Tomohiro Ota, Natsuki Shimizu, Natsuki Shimizu, Masashi Kanai, Masashi Kanai

“…Bland–Altman analysis indicated no significant fixed or proportional errors. The ASP accurately measures METs whether worn on the affected or unaffected side of the waist.ConclusionThe ASP provides valid measurements of physical activity during walking and reaching tasks in patients with subacute stroke. …”
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Healthcare Professionals’ Knowledge and Attitudes Toward Antimicrobial Stewardship Programs in Aseer, Saudi Arabia: A Cross-Sectional Study by Bahamdan AK, Alavudeen SS, Bahamdan GK, Bahamdan KA, Asiri SMA, Alshahrani NAM, Abdulziz Alqahtani S, Ibrahim ARN

“…There were significant differences among participants’ views toward repeated education and online resources (p = 0.042 and p = 0.024, respectively).Conclusion: While HCPs have a good understanding of AMR, a professional practice gap was found. …”
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Prevalence of Occupational Burnout among Resident Doctors at a Tertiary Care Centre in Kerala, India during the COVID-19 Pandemic: A Cross-sectional Study by Jaziya Jabeen, Indu K Gopi, PR Varghese, EL Presthiena Lofi, Jerry Earali

“…With rising violence, medical errors and workplace demands, evaluating the prevalence of burnout and its associated factors has become increasingly important. …”
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Effects of Pharmacotherapy Training Course on Improving the Drug Prescription Skills of Medical Students: A Pharmacy-based Intervention by Fatemeh Taheri Asl, Mohammadhossein Taherynejad, Maryam Emadzadeh, Mina Akbari Rad, Mohammad Ali Yaghoubi, Amirreza Rostami, Sepideh Hejazi, Mitra Ahadi, Samaneh Sajjadi, Amirali Moodi Ghalibaf, Ali Moradi, Sahar Ravanshad

“…Background: Due to the growing issue of medical errors, ensuring safer, and evidence-based prescribing practices, a training course on rational drug prescription for medical students is mandatory. …”
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Human Factors Studies to Assess the Usability of the Faricimab Prefilled Syringe by Barakat MR, Kwong Jr HM, Marcon G, O'Leary OE, Paris LP, Schneider P, Tang Y, Graff JM

“…No use errors were observed during the actual-use study. …”
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Enhancing intraoral radiographic technique: introducing “Nallan's Lines” by Nallan CSK Chaitanya, Vivek Padmanabhan, Md Sofiqul Islam, Nada Tawfig Hashim, Riham Mohammed, Neeharika Satyajyothi Allam, Jouma Jalal Omar, Ahmed Zakaria, Shaga Pranathi, Mamindla Apoorva

“…To determine if radiographic training affected the performance of volunteers and specialists, a Chi-Square Test was conducted to compare error rates. No statistically significant differences were observed between the two groups, both before and after training.ConclusionThe adoption of Nallan's lines may enhance the accuracy and quality of intraoral radiographic images. …”
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A New Immersion and Invariance Control and Stable Deep Learning Fuzzy Approach for Power/Voltage Control Problem by Mohammad Hosein Sabzalian, Khalid A. Alattas, Mauricio Aredes, Abdullah K. Alanazi, Hala M. Abo-Dief, Ardashir Mohammadzadeh, Saleh Mobayen, Bruno Wanderley Franca, Afef Fekih

“…The objective function of T2FLC is to minimize the tracking error in presence of perturbations. The adaptation rules are derived such that the I&I stabilization criterions are satisfied. …”
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Leveraging mixed-effects regression trees for the analysis of high-dimensional longitudinal data to identify the low and high-risk subgroups: simulation study with application to g... by Mina Jahangiri, Anoshirvan Kazemnejad, Keith S. Goldfeld, Maryam S. Daneshpour, Mehdi Momen, Shayan Mostafaei, Davood Khalili, Mahdi Akbarzadeh

“…We compared its predictive performance with other tree algorithms, such as RE-EM and unbiased RE-EM, with and without considering the structure for autocorrelation between errors within subjects to analyze the longitudinal data in the genetic study. …”
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Mine microseismic signal denoising method and application based on Adaboost_LSTM prediction by Xueyi SHANG, Yong CHEN, Jie CHEN, Linlin CHEN, Yuanyuan PU

“…Overall, the P-wave arrival picking error of the denoised signals using the S/L-AIC method remains generally within 10 ms. …”
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Are there opportunities to improve care as patients transition through the cancer care continuum? A scoping review by Diane Lorenzetti, Shamir Chandarana, Areej Hezam, Abigail Thomas, Seremi Ibadin, Jaling Kersen, Stefan Kurbatfinski, Joseph C Dort, Khara M Sauro

“…Among other patient populations, TiC are associated with medical errors, patient dissatisfaction and elevated healthcare use and expenditure. …”
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3D-CNN detection of systemic symptoms induced by different Potexvirus infections in four Nicotiana benthamiana genotypes using leaf hyperspectral imaging by Rizos-Theodoros Chadoulis, Ioannis Livieratos, Ioannis Manakos, Theodore Spanos, Zeinab Marouni, Christos Kalogeropoulos, Constantine Kotropoulos

“…The dataset was carefully processed to remove errors, and raster masks were generated to isolate only the leaf pixels. …”
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Women’s reports of violence before and during COVID-19 in Curitiba-PR, Brazil: an analysis of forensic reports by Ádelin Olívia Lopes Joly, Elisa Cristina Zvir, Emanuélle Branco Moreira, Rhafaela Ribeiro Silva, Isabela Cristina Santos Freire de Paula, Thaís Aparecida Xavier, Sérgio Aparecido Ignácio, Marilisa Carneiro Leão Gabardo, Luciana Reis Azevedo Alanis, Samuel Jorge Moysés, Renata Iani Werneck, Juliana Schaia Rocha Orsi

“…For significant associations, pairwise comparisons of proportions were made using the Z-test, with Bonferroni correction applied to control for Type I errors. Variables with p-values ≤ 0.05 were considered significant. …”
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Spirulina supplementation effects on small ruminants performance and product attributes: a meta-analysis by Frediansyah Firdaus, Tanda Sahat Panjaitan, Malik Makmur, Bayu Andri Atmoko, Yudi Adinata, Noor Hudhia Krishna, Retno Widiyawati

“…Publication bias was assessed using the precision-effect test (PET)-precision-effect estimate with standard errors method and Rosenthal’s fail-safe N analysis, visualised through PET regression plots in JASP software. …”
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Analysis of medical exposure levels of the Russian Federation population in 2023 using the updated form No. 3–DOZ by A. V. Vodovatov, E. A. Kosarlukova, A. M. Biblin, R. R. Akhmatdinov, A. A. Bratilova

“…The greatest variations in average effective doses were observed for radiographic procedures (an increase of up to 2.5 times in 2023 compared to 2022).   Conclusion: These changes in average effective doses may be attributed to errors in calculating effective doses and completing the Form No. 3-DOZ, as well as to objective changes in the equipment fleet and/or protocols for conducting X-ray procedures. …”
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Improving prediction accuracy of hospital arrival vital signs using a multi-output machine learning model: a retrospective study of JSAS-registry data by Yasuyuki Kawai, Koji Yamamoto, Keisuke Tsuruta, Keita Miyazaki, Hideki Asai, Hidetada Fukushima

“…Model performance was assessed by comparing the predicted values with the actual hospital arrival measurements using mean absolute error, R² score, residual standard deviation, and Spearman’s correlation coefficient. …”
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Predictive value of serum miR-21 and miR-122 expression on the efficacy of capecitabine combined with transcatheter hepatic arterial embolization chemotherapy for liver metastasis... by Wenfang Ma, Zukuan Chang, Shixing Li, Xiuhua Wang, Guangshao Cao, Youjie Fan

“…Additionally, the average absolute errors of the calibration curves were 0.178 and 0.210, respectively. …”
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Impact of reference EOP time series on EOP prediction evaluation by Aleksander Partyka, Justyna Śliwińska-Bronowicz, Henryk Dobslaw, Jolanta Nastula, Małgorzata Wińska

“…We also carried out a mean absolute error (MAE) analysis. VLBI-based series from International VLBI Service for Geodesy and Astrometry (IVS) and U.S. …”
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