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  1. 1701
    “…ST expression data suffer from high noise and dropout events; however, smoothing techniques have the promise to improve the data interpretability prior to performing downstream analyses. …”
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  2. 1702
    “…We compare the effectiveness of model-integrated methods (MC dropout and Deep ensembles) with a model-agnostic approach (Test time augmentation, TTA). …”
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  3. 1703
    “…With the advent of single-cell RNA sequencing (scRNA-seq), one major challenging is the so-called ‘dropout’ events that distort gene expression and remarkably influence downstream analysis in single-cell transcriptome. …”
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  4. 1704
    Publicado 2022
    “…The stigma of mental illness not only leads to delay in seeking treatment but also increase the chances of dropout from psychiatric treatment adversely affecting the prognosis. …”
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  5. 1705
    “…Drug use is a major challenge to social development and a leading cause of school dropout rates worldwide. Some public policies adopted in several countries in recent decades failed to prevent drug use, especially because they focused on imposing combative or coercive measures, investing little or nothing in education and prevention. …”
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  6. 1706
    “…It consists of three convolutional and two recurrent layers and is optimized by dropout and batch normalization. The constructed DCR model was evaluated using multiclass classification, including five-class sleep stages (wake, N1, N2, N3, and rapid eye movement (REM)) and three-class sleep stages (wake, non-REM (NREM), and REM), using a raw single-lead ECG signal. …”
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  7. 1707
    “…Up and down conversion loss of the module is better than 14 dB over the 66–67 GHz band, the measured IF input P1 dB is better than 10 dBm, and the module consumes 129 mA from a 5 V low dropout supply. A low-loss ridged waveguide ladder transition was designed (less than 0.4 dB) so that the output interface of the module is a WR12 waveguide interface, which is convenient for direct connection with an instrument with E-band (60–90 GHz) waveguide interface.…”
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  8. 1708
    “…However, the high frequency of dropout events and noise in scRNA-seq data confounds the accuracy of the downstream analysis, i.e. clustering analysis, whose accuracy depends heavily on the selected feature genes. …”
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  9. 1709
    “…CONCLUSION: There were a limited number of studies and a great degree of heterogeneity of evidence due to differences in participants’ baseline characteristics, dropout rates, and follow-up periods. Further research adopting validated, consistent, and complex outcome assessment methods is recommended to determine the efficacy of tibial nerve stimulation for treatment of patients with low anterior resection syndrome.…”
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  10. 1710
    “…Latent class 1 (LT1, good progression to recovery) grouped patients with the best CBT outcomes (lowest risk of dropout and relapses), and it was characterized by the healthiest psychological state at baseline, the lowest scores in harm avoidance and self-transcendence, and the highest scores in reward dependence, persistence, self-directedness and cooperativeness. …”
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  11. 1711
    “…We analyse the resulting properties on various datasets and show improvements on several computer vision tasks: illumination and unwanted features can be normalized or smoothed out and shadows are removed such that classification or other tasks work more reliably; a better invariances with respect to unwanted features is induced; the generalization capacities from synthetic to real images is improved, such that more of the semantics are preserved; uncertainty estimation is superior to Monte Carlo Dropout and an ensemble of models, particularly for datasets of higher visual complexity. …”
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  12. 1712
    “…RESULTS: All endpoints for melasma hyperpigmentation showed a statistically significant improvement from baseline to the end of the study. There was only one dropout. No signs of irritation or discomfort were observed at baseline, w4, w8, or w12. …”
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  13. 1713
    “…However, various technical noises lead to false zero values (missing gene expression values) in scRNA-seq data, termed as dropout events. These zero values complicate the analysis of cell patterns, which affects the high-precision analysis of intra-tumor heterogeneity. …”
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  14. 1714
    “…Early academic and behavior difficulties increase the risk of school disengagement, academic failure, and dropout. Although children’s academic and behavioral difficulties have been shown to be intercorrelated, little research has focused on how the relationship reciprocates and progresses in early childhood. …”
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  15. 1715
    “…To fill in this knowledge gap, we performed a genome-wide CRISPR dropout screen and integrated analyses of the multi-omics data of the CRISPR screen, genome-wide association studies, single-cell RNA-seq, and host-virus proteins or protein/RNA interactome. …”
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  16. 1716
    por Cheng, Li, Hu, Liang
    Publicado 2022
    “…It adopts the design of GAP and Dropout to reduce spatial parameters in network training, and the effect of antioverfitting is better. …”
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  17. 1717
    “…Although proper treatment of the mental disorder is key to reducing the risk of tuberculostatic dropout, the stigma of mental disorder and tuberculosis decreases the probability of these patients seeking proper treatment. …”
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  18. 1718
    “…Classification accuracy was evaluated using an F-beta score weighted in favor of precision to account for technical artifacts of gene expression dropout. We examined the impact of hyperparameter optimization and feature selection methods on F-beta score performance. …”
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  19. 1719
    por Chen, Ming
    Publicado 2022
    “…Then, the generated word vector is employed as the input of the BiLSTM to obtain the semantic representation of the context of the relevant word. By adding random dropout, the mechanism prevents the model from overfitting. …”
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  20. 1720
    “…Ninety women were equally randomized into two groups, with no dropout. There was a statistically significant difference in the degrees of nausea and vomiting between the groups at 8, 16, and 24 hours post-admission (p(8hours)= 0.001, p(16hours) = 0.006, and p(24hours) = 0.001). …”
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