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  1. 2541

    Motion Control Study of Two-legged Wheeled Robot by Checao YU, Xinzhi MA, Xuejun ZHU, Xudong YANG, Huige LAI, Aidi YANG

    Published 2024-09-01
    “…For circular motion, the velocity following the curve is displayed with a maximum error of 0.071 m/s. The pitch angle and height following curves for circular motion indicate a maximum height error of 8.633 mm and a maximum pitch angle error of 0.006 rad. …”
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  2. 2542

    Capturing pharmacists’ perspectives on the value, risks, and applications of ChatGPT in pharmacy practice: A qualitative study by Ammar Abdulrahman Jairoun, Sabaa Saleh Al-Hemyari, Moyad Shahwan, Ghala Rashid Alnuaimi, Nihal Ibrahim, Ammar Ali Saleh Jaber

    Published 2024-12-01
    “…Also, most participants highlighted the difficulty in interpreting ambiguous patient input or drug descriptions when using the application. Conclusions: Despite its potential, utilizing ChatGPT in pharmacy practice must be dependent on evidence-based results that offer profound insight into AI technology.…”
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  3. 2543

    Precise Orbit Determination of Mars-crossing Asteroids by Xin Liu, Xi-Yun Hou, Jun Yao, Shanhong Liu, Roberto Armellin, Qingbo Gan, Zhitao Yang

    Published 2024-01-01
    “…Despite incorporating precise Gaia data, our analysis does not conclusively detect a Yarkovsky effect on MCAs due to uncertainties in the force model. …”
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  4. 2544

    Network meta-analysis of intraocular lens power calculation formulas based on artificial intelligence in short eyes by Xin Zheng, Meng Li, Zhao-Xing Guo, Zhi-Yong Tian, Jing-Shang Zhang, Ying-Yan Mao, Peng Zhao, Zhong-Yan Li, Xiu-Hua Wan

    Published 2025-04-01
    “…The extracted data comprised the mean absolute error (MAE) and the percentage of eyes with refractive prediction errors (PE) within ± 0.50 and ± 1.00 diopters (D). …”
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  5. 2545
  6. 2546

    Evaluation of in-house loop-mediated isothermal amplification for tuberculosis diagnosis compared with Xpert MTB/RIF by Charity Habeenzu, Chie Nakajima, Eddie Solo, Precious Bwalya, Kiichi Kajino, Mari Miller, Youichi Kurosawa, Victor Mudenda, Lackson Kasonka, Yasuhiko Suzuki, Takashi Matsuba

    Published 2017-06-01
    “…This indicated the superiority of the Xpert MTB/RIF kit; however, mechanical errors during sample processing and the insufficient quantity of samples by Xpert MTB/RIF kit occurred at 2.0% and 19.7%, respectively, comparing to the 100% accessibility of in-house LAMP. …”
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  7. 2547

    Analysis and modeling of COVID-19 epidemic dynamics in Saudi Arabia using SIR-PSO and machine learning approaches by Rafat Zrieq, Sahbi Boubaker, Souad Kamel, Mohamed Alzain, Fahad D. Algahtani

    Published 2022-01-01
    “…Results: The forecasts provided by the investigated models had high coefficient of determination values of more than 0.97 and low mean absolute percentage errors (around 7% on average). Conclusions: Both the Susceptible-Infected-Recovered-Particle-Swarm-Optimization and feed-forward artificial neural network models were efficient in modeling COVID-19 dynamics in Saudi Arabia. …”
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  8. 2548

    Plasma Metabolic Outliers Identified in Estonian Human Knockouts by Ketian Yu, Estonian Biobank Research Team, Karol Estrada, Tõnu Esko, Mart Kals, Tiit Nikopensius, Jaanika Kronberg, Urmo Võsa, Arthur Wuster, Lorenzo Bomba

    Published 2025-05-01
    “…Out of 48 associations, 27 (56%) were found in genes that cause inborn errors of metabolism. The top associations identified in our analysis included genes and metabolites involved in the degradation pathway of the pyrimidine bases uracil and thymine (<i>DPYD</i> and <i>UPB1</i>). …”
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  9. 2549

    Accurate patient alignment without unnecessary imaging using patient-specific 3D CT images synthesized from 2D kV images by Yuzhen Ding, Jason M. Holmes, Hongying Feng, Baoxin Li, Lisa A. McGee, Jean-Claude M. Rwigema, Sujay A. Vora, William W. Wong, Daniel J. Ma, Robert L. Foote, Samir H. Patel, Wei Liu

    Published 2024-11-01
    “…Results We demonstrate the feasibility of the proposed approach on 10 patients with head and neck (H&N) cancer using image quality (MAE: < 45HU), dosimetric accuracy (Gamma passing rate ((2%/2 mm/10%): > 97%) and patient position uncertainty (shift error: < 0.4 mm). Conclusions The proposed framework can generate accurate 3D CT faithfully mirroring patient position effectively, thus substantially improving patient setup accuracy, keeping imaging dose minimal, and maintaining treatment veracity.…”
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  10. 2550

    Accuracy of Intraocular Lens Power Formulas Involving 148 Eyes with Long Axial Lengths: A Retrospective Chart-Review Study by Chong Chen, Xian Xu, Yuyu Miao, Gaoxin Zheng, Yong Sun, Xun Xu

    Published 2015-01-01
    “…For axial lengths > 33 mm, eyes exhibited a postoperative hyperopic refractive error. Conclusions. The Haigis and SRK/T formulas may be more suitable for calculating intraocular lens power for eyes with axial lengths ranging from 26 to 33 mm. …”
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  11. 2551

    Estimating Maxillary Sinus Volume Using Smartphone Camera by Christoforos Meliadis, Emily Feng, Ezekiel Johnson, Wendy Zhu, Paramesh Gopi, Vivek Mohan, Peter H. Hwang, Jacob Johnson, Bryant Y. Lin

    Published 2025-01-01
    “…These results suggest the feasibility of this non-invasive approach for clinical use. <italic>Conclusions:</italic> This method aligns with the growing focus on telemedicine, presenting significant reductions in healthcare costs and radiation exposure from CT scans. …”
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  12. 2552

    Sex-based estimation of biological variation in plasma-free amino acid concentrations among healthy adults by Müjgan Ercan, Emiş Deniz Akbulut, Ayşen Caniklioğlu, Esra Fırat Oğuz, Yakup Dülgeroğlu, Esin Avcı, Şerif Ercan

    Published 2025-08-01
    “…Introduction: Free amino acid (FAA) analysis plays a crucial role in diagnosing and monitoring inborn errors of metabolism, assessing nutritional status, and identifying metabolic imbalances associated with various diseases. …”
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  13. 2553

    Diagnosis of a Severe Dust Storm Event over Iraq by Sama K. Al-Dabbagh

    Published 2025-06-01
    “…The model overestimates temperature and wind direction, while underestimating humidity and wind speed. Errors are low for most variables but notably higher for wind direction. …”
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  14. 2554

    The role of artificial intelligence in vascular care by Nehaar Nimmagadda, BS, Edouard Aboian, MD, Sharon Kiang, MD, Uwe Fischer, MD

    Published 2025-01-01
    “…Machine learning models have improved workflow efficiency, reduced diagnostic errors, and enabled early identification of vascular pathology. …”
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  15. 2555

    Setup Accuracy and Efficiency of Real-Time Video Assistance for Surface-Guided Positioning in Radiation Therapy of Right-Sided Locoregional Breast Cancer by Jørund Graadal Svestad, MA, Stine Gyland Mikalsen, PhD, Mojgan Heydari, MA, Regine Hjort Francke, BA, Maziar Hervani, BA, Taran Paulsen Hellebust, PhD

    Published 2025-09-01
    “…The group mean of the vertical couch shifts was significantly different between the 2 setup procedures (P = .03). The systematic error and the random error, however, were identical or almost identical. …”
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  16. 2556

    Remembering what did not happen: the role of hypnosis in memory recall and false memories formation by Donato Giuseppe Leo, Donato Giuseppe Leo, Davide Bruno, Riccardo Proietti, Riccardo Proietti

    Published 2025-02-01
    “…Memory recall is subject to errors that can lead to the formation of false memories. …”
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  17. 2557

    Professional Features of IT Specialists’ Activities as Burnout Risk Factors by Alena F. Dzhumagulova, Natalia E. Vodopyanova, Olga O. Gofman, German S. Nikiforov

    Published 2024-11-01
    “…The study revealed possible risk factors for emotional exhaustion, depersonalization, and reduction in personal achievements of IT specialists. Finally, conclusions are made that the digital environment significantly influences the information environment around an IT specialist, transforms the perception of time, space, information, methods of communication and self-presentation, and changes the motivational sensory-cognitive involvement in work.…”
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  18. 2558

    Comparison of laparoscopic surgical skills acquired on a virtual reality simulator and a box trainer: an analysis for obstetrics-gynecology residents by M. Varras, C. Loukas, N. Nikiteas, V.K. Varra, F.N. Varra, E. Georgiou

    Published 2020-10-01
    “…Performance metrics included time, instrument pathlength, and various task-specific errors. Results: Both groups demonstrated significant performance improvement in all training tasks, for all but one of the metrics (p < 0.05). …”
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  19. 2559

    Acceptability and usability of Drugs4dent®, a dental medicines decision tool – a pilot study by Leanne Teoh, Ruby Biezen, Marietta Taylor, Richard O. Sinnott, Michael J. McCullough

    Published 2025-05-01
    “…Drugs4dent® was subsequently commercialised with MIMS Australia, to create the decision support tool: MIMS Drugs4dent®. Conclusions Drugs4dent® is the first dental medicines decision tool in Australia. …”
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  20. 2560

    EPHA2 polymorphisms and age-related cataract in India. by Periasamy Sundaresan, Ravilla D Ravindran, Praveen Vashist, Ashwini Shanker, Dorothea Nitsch, Badrinath Talwar, Giovanni Maraini, Monica Camparini, Bareng Aletta S Nonyane, Liam Smeeth, Usha Chakravarthy, James F Hejtmancik, Astrid E Fletcher

    Published 2012-01-01
    “…We used logistic regression with robust standard errors to examine the association between cataract and the EPHA2 SNPs, adjusting for age, sex and location.…”
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