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  1. 2821

    Exploring different modelling approaches to forecast the community acute respiratory infections burden in children: an Italian epidemiological time series study by Riccardo Boracchini, Benedetta Canova, Pietro Ferrara, Elisa Barbieri, Pietro Giorgio Lovaglio, Antonio Scamarcia, Giovanni Corrao, Daniele Donà, Carlo Giaquinto, Costanza Di Chiara, Anna Cantarutti

    Published 2025-02-01
    “…Several forecasting models were compared to predict the future burden of ARI: Error, Trend, Seasonality (ETS); Seasonal Auto-Regressive Integrated Moving Average (SARIMA); Unobserved Component Model (UCM); and Trigonometric, Box Cox, ARMA errors, Trend, Seasonal (TBATS). …”
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  2. 2822

    Variants of NLRP genes encoding subcortical maternal complex components are linked to biparental placental mesenchymal dysplasia by Ayaka Murase, Hiroyuki Mishima, Saori Aoki, Satoshi Hara, Musashi Kubiura-Ichimaru, Takashi Ohba, Koh-ichiro Yoshiura, Hidenobu Soejima

    Published 2025-08-01
    “…Further studies are needed to elucidate how SCMC dysfunction leads to imprinting errors and to improve the diagnosis and understanding of PMD and related imprinting disorders.…”
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  3. 2823

    Investigating Google Trends to forecast acute febrile illness outbreaks in North India reported through the Integrated Disease Surveillance Program by Madhur Verma, Kamal Kishore, Pragyan Paramita Parija, Soumya Swaroop Sahoo, Dolly Gambhir, Usha Gupta, Rakesh Kakkar

    Published 2025-03-01
    “…Among the models evaluated, the Malaria model [SARIMA(1,1,1)(1,1,1)] demonstrated the best performance with a balanced fit and reasonable accuracy, while the Enteric Fever model [SARIMA(0,1,0)(1,1,1)] exhibited low prediction error but weak seasonal significance. In contrast, the Dengue [SARIMA(1,1,0)(1,1,0)] and Chikungunya [ARIMA(1,0,0)(0,0,0)] models had high forecast errors, limiting their predictive reliability. …”
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  4. 2824

    Sorption of picolinic acid by Cu(II)-containing sulfocationite KU-2-8 by H. N. Altshuler, V. N. Nekrasov, S. Yu. Lyrshchikov, O. H. Altshuler

    Published 2024-03-01
    “…The experimental data on the concentrations of all cations in the ion exchanger is in the intervals of the calculated compositions within the limits of measurement errors.Conclusions. KU-2-8 sulfocationite is proposed as a container for obtaining drugs based on picolinic acid and Cu2+ cations. …”
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  5. 2825

    THE CLINICAL CONFERENCE AS GUIDANCE TO FORMING INTERNS’ PROFESSIONAL COMPETENCIES DURING FORMATION IN THE UMSA’S DEPARTMENT OF POSTGRADUATED EDUCATION OF DENTISTS by T.P. Skripnikova, M.V. Khrebor, Ju. I. Sylenko, O.A. Pisarenko

    Published 2018-09-01
    “…The preparation of the report involves the presentation, which should represent the relevance of the problem, based on the data of literary sources in the last 5-10 years, the purpose of the study, materials and methods of research, analysis of the results, conclusions. Next must be presented in the clinical case - the purpose of the study, the etiological factors, the pathogenesis of the disease, diagnostic methods, differential diagnosis, modern classifications, clinical symptoms, methods of treatment and the prognosis of the disease. …”
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  6. 2826

    Insulin-induced lipohypertrophy: clinical and ultrasound characteristics by Vadim V. Klimontov, Mikhail M. Lazarev, Alexey A. Makhotin, Andrey Ju. Letyagin, Lilia A. Anisimova, Dinara M. Bulumbaeva, Elena A. Koroleva, Alexander P. Lykov

    Published 2018-09-01
    “…Insulin-induced lipohypertrophy is associated with errors in injection technique and higher insulin doses.…”
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  7. 2827

    Impact of Patient Online Record Access on Documentation: Scoping Review by Eva Meier-Diedrich, Camilla Lyckblad, Gail Davidge, Maria Hägglund, Anna Kharko, Brian McMillan, Charlotte Blease, Julian Schwarz

    Published 2025-02-01
    “…While ORA may encourage HCPs to make their clinical notes more patient friendly, it may also compromise the integrity of documentation by omitting sensitive findings and expert judgment, which can put patients at risk and lead to errors that increase the risk of malpractice. Given the limitations of digital documentation in fostering trust, it is imperative to prioritize meaningful patient-HCP interactions. …”
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  8. 2828

    Feasibility of a computerized clinical decision support system delivered via a socially assistive robot during grand rounds: A pilot study by Valentino Šafran, Urška Smrke, Bojan Ilijevec, Samo Horvat, Vojko Flis, Nejc Plohl, Izidor Mlakar

    Published 2025-04-01
    “…Issues such as too many alerts, confusing errors, and difficulty using the technology in front of patients make adoption challenging and prevent it from fitting into daily workflows. …”
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  9. 2829

    Attitudes and readiness to adopt artificial intelligence among healthcare practitioners in Pakistan’s resource-limited settings by Khaloud Tariq, Huma Tahir, Ushna Malik, Kanza Iqbal, Aqsa Shabbir, Arooj Ul Hassan

    Published 2025-08-01
    “…About 190 (42.1%) respondents agreed that AI can make errors. Most respondents 334 (74.1%) were aware of AI applications in healthcare, and 329 (72.9%) reported familiarity with AI technologies. …”
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  10. 2830

    Smartwatch-Based Ecological Momentary Assessment for High-Temporal-Density, Longitudinal Measurement of Alcohol Use (AlcoWatch): Feasibility Evaluation by Chris Stone, Sally Adams, Robyn E Wootton, Andy Skinner

    Published 2025-03-01
    “…All participants scored “experiences of using” the 2 methods equally highly, with “willingness to use again” slightly higher for smartwatch μEMA. ConclusionsOur findings demonstrate the acceptability and potential utility of smartwatch μEMA methods for capturing data on alcohol consumption. …”
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  11. 2831

    An analysis of ambulance re-contacts after non-conveyance: a retrospective cohort study in the Netherlands by Susanne E. de Loor, Tessa Verheij, Thomas Karol, Franciscus G. M. H. M. Cuppen, Frits van Dijk, Femke Goldstein, Joyce Janssen, Remco H. A. Ebben

    Published 2025-02-01
    “…Mortality rate for patients with a re-contact was 0.5%. Conclusions Re-contact incidence after non-conveyance is relatively low, with a very small part of re-contacts related to ambulance care professionals making errors in diagnosis or treatment. …”
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  12. 2832

    Construction of a deep learning-based predictive model to evaluate the influence of mechanical stretching stimuli on MMP-2 gene expression levels in fibroblasts by Ruozu Xiao, Haowei Zhou, Zhen Shi, Rong Huang, Yuheng Zhang, Jing Li

    Published 2025-06-01
    “…Notably, the model exhibited minimal prediction errors, as evidenced by a root mean square error (RMSE) of 0.42 and a mean absolute error (MAE) of 0.28. …”
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  13. 2833

    Enhancing the Accuracy of Human Phenotype Ontology Identification: Comparative Evaluation of Multimodal Large Language Models by Wei Zhong, Mingyue Sun, Shun Yao, YiFan Liu, Dingchuan Peng, Yan Liu, Kai Yang, HuiMin Gao, HuiHui Yan, WenJing Hao, YouSheng Yan, ChengHong Yin

    Published 2025-06-01
    “…Traditional manual search methods using HPO databases are time-consuming and prone to errors. ObjectiveThe aim of the study is to investigate whether the use of multimodal large language models (MLLMs) can improve the accuracy of junior physicians in identifying HPO terms from patient images related to rare diseases. …”
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  14. 2834

    Effect of Body Position and Support Surface on the Postural Control Challenge During the Pallof Press Exercise: A Smartphone Accelerometer-Based Study by Casto Juan-Recio, Amaya Prat-Luri, Heidy Rondón-Espinosa, David Barbado, Francisco J. Vera-Garcia

    Published 2025-02-01
    “…After confirming the acceleration data reliability (intraclass correlation coefficients ≥ 0.72 and typical errors ≤ 17%), a repeated measure ANOVA was carried out to classify the Pallof press variations according to the postural control challenge imposed on the participants and to analyze sex differences on postural control. …”
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  15. 2835

    Bicuspid aortic valve repair using geometric ring annuloplasty: A first-in-humans pilot trialCentral MessagePerspective by J. Scott Rankin, MD, Domenico Mazzitelli, MD, Theodor J.M. Fischlein, MD, Yeong-Hoon Choi, MD, Diana Aicher, MD, Lawrence M. Wei, MD, Vinay Badhwar, MD

    Published 2020-03-01
    “…Two patients required early prosthetic valve replacement for technical errors, and all were between 24-38 months’ postoperative at follow-up. …”
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  16. 2836

    Development and Validation of Bioanalytical LC–MS/MS Method for Pharmacokinetic Assessment of Amoxicillin and Clavulanate in Human Plasma by Sangyoung Lee, Da Hyun Kim, Sabin Shin, Jee Sun Min, Duk Yeon Kim, Seong Jun Jo, Ui Min Jerng, Soo Kyung Bae

    Published 2025-07-01
    “…Intra- and inter-day’s coefficients of variation, indicating the precision of the assay, were ≤7.08% for amoxicillin and ≤10.7% for clavulanate, and relative errors in accuracy ranged from −1.26% to 10.9% for amoxicillin and from −4.41% to 8.73% for clavulanate. …”
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  17. 2837

    Battery Life Evaluation Method Based on Temporal Convolution Network by SUN Yushu, AN Juan, HUANG Cunqiang, ZHANG Shunzhen, DANG Yanyang, PEI Wei, TANG Xisheng

    Published 2025-07-01
    “…When SOH is used to characterize battery life, significant errors will be introduced. In contrast, RUL will irreversibly decrease as the service time increases, which can provide a more reliable criterion for evaluation. …”
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  18. 2838

    Antidepressant activity of 4-amino-5-(alkyl-, aryl-, heteryl)-1,2,4-triazole-3-thione benzylidene derivatives by Ye. S. Pruhlo

    Published 2018-10-01
    “…The average arithmetic mean (M) and standard mean errors (±m) were calculated. The statistical significance of intergroup differences according to the experimental data was established using Student's t-criterion. …”
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  19. 2839

    Measurement of the dynamic axial load-share ratio in vivo could indicate sufficient callus healing in external fixators by Xuefei Fu, Sida Liu, Na Wang, Yi Ji, Lin Lu, Tao Chen, Mingyong Gu, Zhiwei Chai, Defu Yu, Yancheng Liu, Jun Miao

    Published 2025-02-01
    “…The result of hexapod module’s precision examination were maximum errors of 3.72 N, 3.31 N and 2.68 N in x-, y- and z-axis, respectively. …”
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  20. 2840