Showing 1,761 - 1,780 results of 5,962 for search 'conclusion (errors OR error)', query time: 0.16s Refine Results
  1. 1761

    Social judgement in borderline personality disorder. by Katie Nicol, Merrick Pope, Reiner Sprengelmeyer, Andrew W Young, Jeremy Hall

    Published 2013-01-01
    “…The number and direction of errors made (compared to population norms) were recorded for analysis.…”
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  2. 1762

    ASSESSMENT OF ANGULAR DEVIATIONS OF THE VERTICAL SURFACES OF TEETH STUMPS OBTAINED DURING ODONTOPREPARATION FOR FIXED ORTHOPEDIC STRUCTURES (METAL-CERAMIC AND SOLID CROWNS) by I. O. Buentsov

    Published 2021-07-01
    “…Based on the data  obtained, calculate the average value for the group and identify which surfaces of the stump are most prone to errors during odontopreparation. Materials and methods. …”
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  3. 1763

    Children’s Imitation and Word Creation in the Process of Language Acquisition by N. A. Trofimova, S. A. Shumilova

    Published 2024-12-01
    “…Moreover, a gradual increasing complexity of constructed forms is observed occurring with the age.Conclusion. Speech innovations cannot be conceived as errors, as they are constructed based on children’s knowledge about the language system and contain standard elements. …”
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  4. 1764

    Incident Reporting Behaviours and Associated Factors among Nurses Working in Gondar University Comprehensive Specialized Hospital, Northwest Ethiopia by Eshetu Haileselassie Engeda

    Published 2016-01-01
    “…A comprehensive and systematic approach to incident reporting would help learn from errors and adverse events within a healthcare facility. …”
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  5. 1765

    Improving the Diagnosis and Treatment of Acute Appendicitis in Pregnant Women by A.O. Osmanov, S.-M. A. Omarov, M. Z. Zagidov, R. M. Aliyeva

    Published 2012-10-01
    “…An antibiotic cocktail that has an effect on different types of the microflora has been proposed to sanitize the abdomen in pregnant women with complicated acute appendicitis. Conclusion. Examination of pregnant women with suspected appendicitis according to the proposed algorithm makes it possible to rule out diagnostic errors, to specify indications for appendectomy, to correctly choose an access, by estimating the electrical potential of the cecal cupula, to guard against the development of peritonitis, by administering the proposed antibiotic cocktail, to implement a package of measures for the detoxification and early recovery of intestinal motility, and to prevent antenatal fetal death. …”
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  6. 1766

    Simulation of Virtual Prototype and Research of Transmission Accuracy for RV Reducer by Liu Huaming, Qin Xunpeng, Huang Jinjing, Wu Rui

    Published 2016-01-01
    “…The 8 groups virtual prototype models with consideration of the error are given,the simulation results show that the error of the pin radius,the modification of the cycloidal gear tooth profile and the error of the center circle of the pin have a great influence on the transmission accuracy. …”
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  7. 1767

    Evaluating and Forecasting the Probability of Lightning Occurrence in Rasht City by Afsaneh Ghasemi, Jamil Amanollahi

    Published 2020-06-01
    “…CHAID tree with a specificity rate of 0.794 and a minimum false positive rate of 0.205 and the SVM model with a correct prediction of 0.773 and an error rate of 0.475 and precision of 0.855 have optimum performance compared with other models. …”
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  8. 1768

    Accuracy and precision of sonographic fetal weight estimation in Sweden by Linda Lindström, Sven Cnattingius, Ove Axelsson, Michaela Granfors

    Published 2023-06-01
    “…Bland–Altman analysis, systematic error (mean percentage error), random error (standard deviation [SD] of mean percentage error), proportion of weight estimates within ±10% of birthweight, and proportion with underestimated and overestimated weight was calculated. …”
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  9. 1769

    The Role of Landscape Metrics and Spatial Processes in Performance Evaluation of GEOMOD (Case Study: Neka River Basin) by Shrif Joorabian Shooshtari, Kamran Shayesteh, Mehdi Gholamalifard, Mahmood Azari, Juan Ignacio López-Moreno

    Published 2017-09-01
    “…GEOMOD also predicts less complexity in shape but the difference between ground truth data and simulation in 2001 (relative error of 0.4 %) was more than 2010 (relative error of 0.1 %). …”
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  10. 1770

    Review and assess of frequently used scales in OHRQoL by Abdulraof Alghadeer, Tim Newton, Stepphen Dunne

    Published 2019-01-01
    “…Guillemin et al. (1993) and Acquadro et al. (2008) recommend the following: care should be taken during cross-cultural adaptation to incorporate a team of varied experts, there should be regular contact with the original authors to minimizemajor errors and a pilot study should be conducted for new items before they are submitted to a larger group. …”
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  11. 1771

    Assessing accuracy of BiliPredics algorithm in predicting individual bilirubin progression in neonates—results from a prospective multi-center study by Britta Steffens, Britta Steffens, Gilbert Koch, Gilbert Koch, Corinna Engel, Axel R. Franz, Marc Pfister, Marc Pfister, Marc Pfister, Sven Wellmann, Sven Wellmann

    Published 2025-02-01
    “…For assessment of accuracy, two validation metrics, absolute prediction error (aPE) and relative prediction error (rPE), and two clinical acceptance conditions, margin of error of the 95%-confidence interval (95%-CI) and percentage of clinically relevant mis-predictions defined as aPE>85μmol/L, were investigated.ResultsOut of 455 enrolled neonates, 276 neonates met bilirubin inclusion criteria and were included in the analyses. …”
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  12. 1772

    Assessment of cardiometabolic age and aging rate in individuals with type 2 diabetes by A.V. Pysaruk, Ya.A. Saenko, B.M. Mankovsky

    Published 2024-09-01
    “…Calculation of BA in practically healthy individuals using our formula showed that the average absolute error of calculation was 7.79 ± 0.49 years. Correction of the systematic error of the regression method significantly increased the accuracy of BA calculation (R2 = 0.78; p < 0.00001; age calculation error was 4.80 ± 0.32 years). …”
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  13. 1773
  14. 1774

    Economic burden of breast cancer in India, 2000–2021 and forecast to 2030 by Rakesh N Pillai, Aleena Alex, Narassima M.S., Vivek Verma, Ajil Shaji, Keechilat Pavithran, D. K. Vijaykumar, Denny John

    Published 2025-01-01
    “…Results The results of coefficient of determination (0.99), mean absolute percentage error (69%), mean absolute error (5229), and root mean squared error (6451.2) showed that the ARIMA (0,2,0) model fitted well. …”
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  15. 1775

    Investigating the concept of area for teaching and Creativity in Mathematics: interactions based on a story by Ayandara Pozzi de Moraes Campos, Lalesca Paula de Oliveira Rodrigues, Maria Auxiliadora Vilela Paiva

    Published 2025-05-01
    “…The data produced and presented derives from the story Imagined experience: the concept of area straight from the classroom and included multiple resolutions, ways of listening and shifts in the meanings of error and non-understanding. In methodological terms, considering the Development Research, there were indications of the potential and weaknesses of the Training Situation portrayed. …”
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  16. 1776

    Effect of exposure time on the accuracy and reliability of cone beam computed tomography in the assessment of dental implant site dimensions in dry skulls by Asmáa A. Al-Ekrish

    Published 2012-07-01
    “…Results: The mean absolute errors from the 40, 20 and 7 s protocols were 0.50, 0.46, and 0.51 mm, respectively. …”
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  17. 1777

    Digit preference in Nigerian censuses data of 1991 and 2006 by Tukur Dahiru, Hussaini G. Dikko

    Published 2013-06-01
    “…<p><strong>Background:</strong> censuses in developing countries are prone to errors of age misreporting due to ignorance, low literacy levels and other social, economic and cultural factors. …”
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  18. 1778

    SupTech and RegTech initiatives: analysis of the basic characteristics and model risks by A. V. Kurnosov

    Published 2021-12-01
    “…Objective: to analyze the SupTech and RegTech initiatives of central banks in the context of their essential characteristics and model risks.Methods: the work used a combination of methods of dialectical, empirical, comparative and logical research.Results: SupTech and RegTech technologies are defined; problems in the legal field existing within the framework of their use and ways to solve them are shown; model risks are assessed, in particular, the risks of adverse consequences resulting from the use of inaccuracies, errors, false assumptions and incorrect settings in models.Scientific novelty: the article identifies the model risks and suggests ways to reduce them, in particular, the risks of adverse consequences resulting from the use of inaccuracies, errors, false assumptions and incorrect settings; the work shows the need for a regulatory legal acts system and offers options for interpreting the models results.Practical significance: the main provisions and conclusions of the article can be used to develop a glossary, terms and definitions of SupTech and RegTech initiatives, the regulatory mechanisms and legal framework for their functioning, as well as to develop methods to reduce risks associated with the implementation and functioning of SupTech and RegTech initiatives.…”
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  19. 1779

    PENINGKATAN KEMAMPUAN PEMECAHAN MASALAH MENGGUNAKAN MODEL POLYA PADA MATERI KUBUS DAN BALOK by Fenty Madelin Madubun, Theresia Laurens, Magy Gaspersz

    Published 2022-08-01
    “…Based on the results, it can be concluded that: (1) There is an increase in the problem solving ability of students using the Polya model (2) the errors made by students related to problem solving abilities in the Polya model are errors in the processing and conclusions. …”
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  20. 1780

    Predicting visual acuity of treated ocular trauma based on pattern visual evoked potentials by machine learning models by Hongxia Hao, Jiemin Chen, Yifei Yan, Yifei Yan, Qi Zhang, Qi Zhang, Zhilu Zhou, Wentao Xia

    Published 2025-08-01
    “…The XGBoost model predicted BCVA values with the lowest mean absolute error (MAE), at 0.1598 logarithm of the minimum angle of resolution (logMAR); the lowest root mean square error (RMSE), at 0.2402 logMAR; and the highest accuracy, at 0.8959.ConclusionPromising outcomes in BCVA prediction were achieved by the PVEP-trained machine learning models, which will be helpful in the clinical evaluation of patients after ocular trauma.…”
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