Showing 3,601 - 3,620 results of 5,962 for search 'conclusion (errors OR error)', query time: 0.21s Refine Results
  1. 3601

    Reliability of intracortical inhibiton measured using threshold tracking technique by I. S. Bakulin, A. Kh. Zabirova, A. G. Poydasheva, D. O. Sinitsyn, D. Yu. Lagoda, N. A. Suponeva, M. A. Piradov

    Published 2024-01-01
    “…At the first day the procedure was performed twice (T1, T2), at the second day – once (T3). Standard error of the measurement (SEM) and SEM% were calculated to assess absolute reliability, and intra-class correlation coefficient – for the assessment of relative reliability.Results. …”
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  2. 3602

    Cancer care to the population of Russia in 2022 by A. O. Shakhzadova, V. V. Starinsky, I. V. Lisichnikova

    Published 2023-11-01
    “…Based on data from the state medical statistics according to the form No. 7 “information on malignant neoplasms for 2022” the crude and standardized rates, standard error of crude and standardized rates, confidence intervals (ci) for 2022, and the qualitative parameters of cancer care were calculated.Results. in 2022, 624,835 new cancer cases were detected in the Russian Federation (283,179 in men and 341,656 in women), in increase of 7.6 % compared to 2021 (in 2021: 580415), and decrease of 2.4 % compared to 2019 (in 2019: 640391). in 2022, the crude incidence rate was 425.89 ± 0.54 per 100,000 population of Russia (ci: 424.83–426.95 per 100,000 population), which was 7.0 % higher than that in 2021 (in 2021 – 397.91 ± 0.54 per 100,000 population) but 2.4 % lower than in 2019 (in 2019 – 436.34 ± 0.52 per 100,000 population). the standardized incidence rate was 236.47 ± 0.32 per 100,000 population (ci: 235.84–237.10 per 100,000 population), which was 5.2 % higher compared to that observed in 2021 (in 2021 – 224.87 ± 0.32 per 100,000 population) but 5.2 % lower than in 2019 (in 2019 – 249.54 ± 0.33 per 100,000 population). the prevalence rate of cancer in 2022 was 2,742.4 per 100,000 population of Russia, an increase in the prevalence rate over 10 years was 33.9 %.Conclusion. …”
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  3. 3603

    Self-Reported Physical Activity and Relations to Growth and Neurotrophic Factors in Diabetes Mellitus: The Framingham Offspring Study by Nicole L. Spartano, Kendra L. Davis-Plourde, Jayandra J. Himali, Joanne M. Murabito, Ramachandran S. Vasan, Alexa S. Beiser, Sudha Seshadri

    Published 2019-01-01
    “…In participants with DM, more ambulatory physical activity was associated with higher IGF-1 levels (β±standard error SE=0.22±0.08, p=0.009), and more total physical activity was related to higher BDNF levels (β±SE=0.18±0.08, p=0.035), but physical activity was not significantly related to circulating VEGF. …”
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  4. 3604

    The hematological impact of umbilical cord milking versus delayed cord clamping in premature neonates: a randomized controlled trial by Hytham Atia, Ahmed Badawie, Osama Elsaid, Mahmoud Kashef, Nourhan Alhaddad, Mohamed Gomaa

    Published 2022-09-01
    “…The study power was 80% for a difference in the hematocrit value of 3% and Hb value of one gram, and an alpha error of 0.05. Results The following variables were analyzed in the comparison of UCM vs. …”
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  5. 3605

    Psychometric properties of the Iranian version of the attitudes to disability scale in people with physical disabilities by Mahnaz Pouresmaeil, Tahereh Dehdari, Isa Mohammadi Zeidi, Neda Mohammadi, Seyed Habib A Rahmati

    Published 2025-03-01
    “…The four-factor ADS demonstrated good fit indices, with a root mean square error of approximation of 0.054, a root mean square residual of 0.054, a comparative fit index of 0.93, a relative Chi-square (χ²/df) of 1.50, a Tucker-Lewis index of 0.914, and a goodness of fit index of 0.906. …”
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  6. 3606

    Deep Learning Spinal Cord Segmentation Based on B0 Reference for Diffusion Tensor Imaging Analysis in Cervical Spondylotic Myelopathy by Shuoheng Yang, Ningbo Fei, Junpeng Li, Guangsheng Li, Yong Hu

    Published 2025-06-01
    “…In particular, the proposed model’s error rate for the DTI-specific feature index was evaluated as 5.32%, 10.14%, 7.37%, and 5.70% on the left side, and 4.60%, 9.60%, 8.74%, and 6.27% on the right side of the spinal cord, respectively, affirming the model’s consistent performance for radiological rationality. …”
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  7. 3607

    Femur Length is Correlated with Isometric Quadriceps Strength in Post-Operative Patients by Robert S Dean, Nicholas N DePhillipo, Michael T Kiely, Nicole A Schwery, Jill K Monson, Robert F LaPrade

    Published 2022-06-01
    “…A Bonferroni correction was utilized to reduce the probability of a Type 1 error. # RESULTS Forty patients (26 males, 14 females) with an average age of 25.8 years were included. …”
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  8. 3608

    A supervised machine learning statistical design of experiment approach to modeling the barriers to effective snakebite treatment in Ghana. by Eric Nyarko, Edmund Fosu Agyemang, Ebenezer Kwesi Ameho, Louis Agyekum, José María Gutiérrez, Eduardo Alberto Fernandez

    Published 2024-12-01
    “…The results were compared using key metrics: Akaike Information Criterion corrected, Bayesian Information Criterion, Root Average Squared Error, and Fit Time in milliseconds.<h4>Results</h4>Considering all the responses, none of the six machine learning algorithms proved superior, but the Generalized Regression Model (Ridge) performed consistently better among the candidate models. …”
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  9. 3609

    Associations between biomarkers and skeletal muscle function in individuals with osteoarthritis: a systematic review and meta-analysis by Stephanie L. Smith, Lorna Paul, Martijn P. M. Steultjens, Rebecca L. Jones

    Published 2024-11-01
    “…Muscle strength and vitamin D reported a significant association (Hedge’s g: 0.58 (Standard Error (SE): 0.27; P = 0.03), k = 3 studies). Walking speed and high-sensitivity C-reactive protein reported no significant associations (Hedge’s g: -0.02 (SE: 0.05; P = 0.73), k = 3 studies). …”
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  10. 3610

    Evaluating behavioral intervention technologies: Integrating human-centered design and implementation science outcomes by Shumenghui Zhai, Weichao Yuwen, Tiffany L Zyniewicz, Jennifer Sonney, Jonika Hash, Maida Chen, Teresa M Ward

    Published 2025-06-01
    “…Results The USIS model incorporates five domains: (1) user-centeredness (empathy, engagement, and equity), (2) efficiency (cost, timeliness, and rapidity), (3) feasibility (learnability, memorability, error reduction, and low cognitive load), (4) satisfaction (acceptability and appropriateness), and (5) fidelity (adoption, penetration, and sustainability). …”
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  11. 3611

    Visuospatial function impairment in patients with subacute-chronic isolated frontal lobe ischemic stroke: A cross-sectional study using MoCA-Ina in a private hospital by Mary Christina Elsa, Yusak Mangara Tua Siahaan, Melania Lumenta

    Published 2024-09-01
    “…However, visuospatial processing also requires sustained attention, planning, and error correction, functions of the frontal lobe. …”
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  12. 3612

    FACTORS OF CARIES DEVELOPMENT AND WAYS TO REDUCE THEI IMPACT IN SCHOOL CHILDREN by L.F. Kaskova, T.B. Mandzyuk

    Published 2022-06-01
    “…The correlation coefficient was considered significant when the error probability was p<0.05. Results and discussion. …”
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  13. 3613

    Role of mast cells in the pathogenesis of oral submucous fibrosis: a systematic review and meta-analysis by Laliytha Kumar Bijai, Ali A. Aboalela, Farraj Albalawi, Sanjeev B Khanagar, Kiran Iyer

    Published 2024-10-01
    “…Hence the role of MCs in OSMF has not been established because of homogeneity and consistent sampling error. Conclusion Our systematic review does suggest a definitive role of mast cells in the progression of OSMF. …”
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  14. 3614

    Association between anthropometric factors and meningioma risk: A systematic review and meta-analysis. by Chao Xu, Chuan Shao, Jing Wang, Xinmin Ding, Nan Wu

    Published 2025-01-01
    “…Moreover, we employed a dose-response meta-analysis with a one-stage robust error meta-regression (REMR) model.<h4>Results</h4>We included nine prospective studies for four anthropometric factors listed above and meningioma risk. …”
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  15. 3615

    Exploring the impact of noise, language familiarity, and experimental settings on emotion recognition by Terry Amorese, Marialucia Cuciniello, Anna Alterio, Daniele Pepe, Odette Scharenborg, Gennaro Cordasco, Anna Esposito

    Published 2025-06-01
    “…Regarding familiarity with the language, differences in emotion recognition performance between the Italian and Dutch listeners were observed, but the error magnitude was contingent on the emotional categories. …”
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  16. 3616

    Machine Learning Methods in the Comparative Evaluation of Various Approaches to the Surgical Treatment of Primary Angle Closure by N. I. Kurysheva, A. L. Pomerantsev, O. Ye. Rodionova, G. A. Sharova

    Published 2022-10-01
    “…A classification model based on 2 principal components with a given type I error α = 0.01 demonstrated a sensitivity of 100 % for patients in its own group and a sensitivity of 93 % for patients in group 2. …”
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  17. 3617

    Successful ACL repair by dynamic intraligamentary stabilisation is non‐inferior in functional performance and worse in proprioception compared to healthy controls in a case‐matched... by Sophie A. Gommers, Ajmal Farid, Jeroen deGroot, Inger N. Sierevelt, Daniël Haverkamp, Dutch ACL repair study group

    Published 2024-10-01
    “…No significant differences were found in absolute value of the SLH and SLTH and a significantly higher absolute value of the SH was found in the DIS group (p = 0.01). JPS absolute angular error was significantly higher in the DIS group compared to the control group (p = 0.01). …”
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  18. 3618

    MONITORING DATA AGGREGATION OF DYNAMIC SYSTEMS USING INFORMATION TECHNOLOGIES by Dmytro Shevchenko, Mykhaylo Ugryumov, Sergii Artiukh

    Published 2023-03-01
    “…Looking at the results in general, the autoencoders work effectively for the dimensionality reduction task and the data recovery quality metric shows that they recover the data well with an error of 3–4 digits after 0. In conclusion, the vanilla autoencoder is the best deep learning model for aggregating monitoring data of dynamic systems. …”
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  19. 3619

    Development and psychometric testing of a scale for diet self-management among urban residents in China: a cross-sectional study by Lai Wei, Li Zhou, Yalin Chu, Yuhong Tang

    Published 2024-10-01
    “…The CFA showed a good model fit of the six-dimension scale: χ2/df=1.8878, root mean square error of approximate=0.0496, Comparing Fit Index=0.9425, Incremental Fit Index=0.9428, Tucker-Lewis Index=0.9369 and standard root mean square residual=0.0525. …”
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  20. 3620

    Evaluation of dental students’ attitude to elderly patients based on demographic data: a cross-sectional study by Büşra Karabulut Gençer, Ayşe Aslı Şenol, Bengü Doğu Kaya, Pınar Yılmaz Atalı, Bilge Tarçın

    Published 2025-05-01
    “…Mann-Whitney U and Kruskal-Wallis tests were used for two- and multi-group comparisons, respectively, and the Spearman Correlation Test examined age-scale score relationships. A Type 1 error rate of 0.05 was applied. Results A total of 305 students participated, 204 (66.9%) of whom were female. …”
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