Search alternatives:
significantly larger » significantly lower (Expand Search), significantly smaller (Expand Search), significantly higher (Expand Search)
linear decrease » linear increase (Expand Search)
larger decrease » marked decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
significantly larger » significantly lower (Expand Search), significantly smaller (Expand Search), significantly higher (Expand Search)
linear decrease » linear increase (Expand Search)
larger decrease » marked decrease (Expand Search)
we decrease » _ decrease (Expand Search), a decrease (Expand Search), nn decrease (Expand Search)
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Geometric manifold comparison visualization
Published 2025“…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”
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Hyperparameter ranges
Published 2025“…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”
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207
Convolutional vs RNN context encoder
Published 2025“…In this work, we propose to use a generative non-linear deep learning model, a disentangled variational autoencoder (DSVAE), that factorizes out window-specific (context) information from timestep-specific (local) information. …”
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Theoretical framework.
Published 2025“…For quantitative part, pretested a self-administered five-point Likert scale questionnaire was used and analyzed using SPSS® -version 26. Assumptions of linear multivariate regression were checked and the level of significance determined at a 95% CI and p-value <0.05. …”
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Supplementary file survey questioner annex.
Published 2025“…For quantitative part, pretested a self-administered five-point Likert scale questionnaire was used and analyzed using SPSS® -version 26. Assumptions of linear multivariate regression were checked and the level of significance determined at a 95% CI and p-value <0.05. …”
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The Date.
Published 2025“…The relevant low temperature index showed proper decreasing trend while the diurnal range of annual extreme temperature showed fluctuating<b>—</b>decreasing first and then increasing. …”
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Mann-Kendall test for the mean temperature index.
Published 2025“…The relevant low temperature index showed proper decreasing trend while the diurnal range of annual extreme temperature showed fluctuating<b>—</b>decreasing first and then increasing. …”
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Variation curve of the extreme temperature index.
Published 2025“…The relevant low temperature index showed proper decreasing trend while the diurnal range of annual extreme temperature showed fluctuating<b>—</b>decreasing first and then increasing. …”
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Fluctuation trend of the mean temperature index.
Published 2025“…The relevant low temperature index showed proper decreasing trend while the diurnal range of annual extreme temperature showed fluctuating<b>—</b>decreasing first and then increasing. …”
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Variation curve of the mean temperature index.
Published 2025“…The relevant low temperature index showed proper decreasing trend while the diurnal range of annual extreme temperature showed fluctuating<b>—</b>decreasing first and then increasing. …”
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<i>Aedes aegypti</i> database from SAGO traps.
Published 2025“…IVM treatment reduced the number of females per trap per week from 3.29 ± 0.24 to 2.41 ± 0.20 (33.7% reduction), AGO from 1.58 ± 0.17 to 0.25 ± 0.05 (85.2% reduction), and AGO + IVM from 1.49 ± 0.17 to 0.53 ± 0.08 (67.78% reduction), based on Henderson’s formula. We observed a non-significant increase in the control area (no treatment provided) in the mosquito populations, increasing from 2.94 ± 0.24 in the pretreatment period to 3.25 ± 0.28 of the post treatment period.…”
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