Search alternatives:
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
aspect decrease » asphalt decreased (Expand Search), largest decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
decrease crash » increased crash (Expand Search), decreased across (Expand Search)
significant decrease » significant increase (Expand Search), significantly increased (Expand Search)
aspect decrease » asphalt decreased (Expand Search), largest decrease (Expand Search)
larger decrease » marked decrease (Expand Search)
decrease crash » increased crash (Expand Search), decreased across (Expand Search)
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Predictor importance for predicting stock market using neural network and linear predictor.
Published 2022Subjects: -
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Medical care provision, depressive symptoms, and social and emotional aspects (2020 and 2021).
Published 2022Subjects: -
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Scheme of g-λ model with larger values λ.
Published 2024“…The findings suggest that when λ is respectively equal to 4.19, 8.57, 10, and 12.15, the peak particle velocity (PPV) of the transmitted waves is significantly close to the incident wave amplitude. Furthermore, when λ is fixed, the energy transmission coefficient increases with the incident wave amplitude but decreases with the incident wave frequency. …”
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Spatial information is significantly decreased in dCA1 and vCA1 in APP/PS1 mice.
Published 2024“…The spatial information in dCA1 was significantly larger than circularly shuffled spike trains with similar mean firing rates for C57BL/6 mice (mean ± std: empirical = 0.132 ± 0.048, shuffled = 0.124 ± 0.035, p < 0.001, two-sided Wilcoxon rank-sum test, n<sub>empirical</sub> = 305 units from 5 recording sessions, n<sub>shuffled</sub> = 30500 simulated units from 5 recording sessions), but not for APP/PS1 mice (mean ± std: empirical = 0.128 ± 0.051, shuffled = 0.123 ± .047, p = 0.39, two-sided Wilcoxon rank-sum test, n<sub>empirical</sub> = 180 units from 4 recording sessions, n<sub>shuffled</sub> = 18000 simulated units from 4 recording sessions). …”
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Comparison of selected metabolites from significantly enriched metabolic sub-pathways.
Published 2021Subjects: -
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Significant correlations among amino acid metabolites and fTLI in the serum.
Published 2021Subjects: -
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Analyse vehicle–pedestrian crash severity at intersection with data mining techniques
Published 2021“…The ANN model which has the best performance is selected to determine the most significant contributing factors to the fatal and severe crashes, and the marginal effects of these factors are also analysed. …”