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  1. 721
  2. 722

    Study on free oscillations of a micromechanical gyroscope taking into account the nonorthogonality of the torsion axes by M. R. Saypulaev, I. V. Merkuryev, A. V. Solovyev, A. N. Tarasov

    Published 2021-10-01
    “…They demonstrate the fact that the nonorthogonality of the torsion axes causes a cross-influence of the amplitudes of the primary vibrations on the amplitudes of the secondary vibrations of the sensing element, and the appearance of an additional error in the angular velocity readings when the gyroscope is operating in free mode.Discussion and Conclusions. …”
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    Article
  3. 723

    Confident Learning-Based Label Correction for Retinal Image Segmentation by Tanatorn Pethmunee, Supaporn Kansomkeat, Patama Bhurayanontachai, Sathit Intajag

    Published 2025-07-01
    “…<b>Background/Objectives:</b> In automatic medical image analysis, particularly for diabetic retinopathy, the accuracy of labeled data is crucial, as label noise can significantly complicate the analysis and lead to diagnostic errors. To tackle the issue of label noise in retinal image segmentation, an innovative label correction framework is introduced that combines Confident Learning (CL) with a human-in-the-loop re-annotation process to meticulously detect and rectify pixel-level labeling inaccuracies. …”
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  4. 724

    The Use of Pictorial Recall Aids Modifies Dietary Assessment Results: Experiences from Quantitative 24-hour Dietary Recalls of Young Children in Nepal and Senegal by Anna Vanderkooy, Elaine L Ferguson, Nisha Sharma, Ndèye Yaga Sy, Rosenette Kane, Alissa M Pries

    Published 2025-02-01
    “…Background: Recall bias or memory error is a known limitation of recall-based dietary assessment methods and can lead to substantial misrepresentation of diets. …”
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    Article
  5. 725
  6. 726

    Improving medication safety with proactive reconciliation in acute coronary syndrome patients: A randomized trial by Mahdieh Fatemi-Nejad, Maryam Mehrpooya, Davoud Ahmadimoghaddam, Kimia Shirmohammadi, Maryam Zamanirafe, Mahdis Sharifikia, Azadeh Eshraghi

    Published 2025-06-01
    “…Background: Patients with acute coronary syndrome (ACS) are at an increased risk of medication errors due to the complexity of medication regimens, frequent transitions of care, the use of high-risk medications, and their vulnerability to adverse events. …”
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    Article
  7. 727

    A novel method to predict the haemoglobin concentration after kidney transplantation based on machine learning: prediction model establishment and method optimization by Songping He, Xiangxi Li, Fangyu Peng, Jiazhi Liao, Xia Lu, Hui Guo, Xin Tan, Yanyan Chen

    Published 2025-07-01
    “…Conclusions The accuracy of the machine learning classification prediction model established by the optimized modelling method and process reached 87.22%, which can assist doctors in preoperative risk prediction.…”
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  8. 728
  9. 729

    Clinical Evaluation of the 3nethra Aberro Handheld Autorefractometer by Selvamani Perumal, Surya Venkatramanan, Venkatramanan RJ, Jayanthi T, Jai Adithya, Anjaly Abraham, Henna Cherian

    Published 2022-11-01
    “…Conclusion: The 90% agreement between the error measurements done by two methods indicates that the 3nethra aberro handheld autorefractometer can function as an alternative for the time-consuming subjective refractive error measurement.…”
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    Article
  10. 730

    Development of an Algorithm for Clustering Cardiac ECG Signals with Post-Correction for Long-Term ECG Monitoring by I. A. Kondratyeva, A. S. Krasichkov, O. A. Stancheva, E. Mbazumutima, F. Shikema, E. M.

    Published 2021-04-01
    “…The paper considers the effect of synchronization errors of clustered cardiac signals on the shape of the averaged cardiac complex. …”
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  11. 731
  12. 732

    Study of the interval width of features for improving forecasting efficiency of the transport flow intensity by I. N. Pugachev, N. G. Sheshera, D. Yе. Grigorov

    Published 2024-11-01
    “…The coefficient values greater than 0.7 or less than -0.7 were accepted. The probability of error was also calculated, and values less than 0.05 were accepted. …”
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    Article
  13. 733

    Complete Complement Factor I (CFI) deficiency: a systematic review of forty-nine patients including three novel cases by Erta Rajabi, Mahsa Choroom Kheirabadi, Nasrin Alipour Olyaei, Anne Molitor, Mohadese Sadat Mousavi Khorshidi, Morteza Heidari, Arash Abbasi, Parastoo Rostami, Mohadese Mahdavi, Raphael Carapito, Mohammad Shahrooei, Seiamak Bahram, Nima Parvaneh

    Published 2025-07-01
    “…Abstract Background Complete complement factor I (CFI) deficiency is an inborn error of immunity (IEI) that results in heightened susceptibility to infections and immune dysregulatory disorders. …”
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  14. 734

    Gone and forgotten? Predictors of birth history omissions in India by Sharan Sharma, Sonalde Desai, Debasis Barik, Om Prakash Sharma

    Published 2024-05-01
    “…These errors can bias demographic estimates such as fertility rates and child mortality rates. …”
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  15. 735
  16. 736

    Effectiveness of Multicomponent Balance Training and Sensorimotor Foot Mobilization on Postural Stability in Patients Following Brain Tumor Surgery by Natasa Kos, Marusa Brcar, Marko Brcar, Tomaz Velnar

    Published 2025-04-01
    “…Background: Our study investigated the impact of multicomponent balance exercises (MBE) and sensorimotor mobilization with foot muscle strengthening (SMFE) on postural stability in patients with balance disorders, assessed using the Balance Error Scoring System (BESS) while standing still. …”
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  17. 737

    Predicting China’s Energy Consumption and CO<sub>2</sub> Emissions by Employing a Novel Grey Model by Meixia Wang

    Published 2024-10-01
    “…The future trends of primary energy, oil, and coal consumption and CO<sub>2</sub> emissions in China are predicted over the next five years. The conclusions are as follows: First, the new weighted error evaluation criteria are effective and reasonable and can indicate whether a grey model can reliably use the most recent information for modeling. …”
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  18. 738

    Optimization of signal constellations with amplitude-phase shift keying in communication channels with non-fluctuating interference by Gennady V. Kulikov, Xuan Kh. Dang, Andrey A. Lelyukh

    Published 2025-02-01
    “…The best constellations of 16-APSK and 32-APSK are determined, and a minimum bit error rate is provided.Conclusions. In order to improve the quality of communication in information transmission systems in the presence of non-fluctuating interference, the existing constellations 16-APSK (4, 12) and 32-APSK (4, 12, 16) can be used by changing the ratios between the radii of circles 2.5 for 16-APSK and 2.5/3.9 for 32-APSK. …”
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  19. 739

    Optimal nonlinear filtering of M-PSK signals against a background of harmonic interference with a random initial phase by G. V. Kulikov, Trung Tien Do, E. V. Samokhina

    Published 2021-12-01
    “…Thus, if µ = 0.5 and the probability of error is 10−2, the energy gain at M = 2 is about 2.5 dB, at M = 4 – about 6 dB, at M = 8 and M = 16 – at least 10 dB.…”
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  20. 740

    University proceedings. Volga region. Technical sciences by V.N. Ashanin, A.A. Korotkov

    Published 2025-05-01
    “…The values of the RMS of the conversion linearity were calculated for different numbers of partial cycles in a full conversion cycle. Conclusions. The obtained RMS values indicate the ability of the proposed structural and algorithmic solution to completely eliminate the influence of the instrumental component of the error caused by dielectric absorption phenomena in the integrating capacitor. …”
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