Search alternatives:
significant linear » significant clinical (Expand Search), significant gender (Expand Search), significant level (Expand Search)
linear decrease » linear increase (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
significant linear » significant clinical (Expand Search), significant gender (Expand Search), significant level (Expand Search)
linear decrease » linear increase (Expand Search)
we decrease » _ decrease (Expand Search), nn decrease (Expand Search), mean decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
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181
Logistic regression for LSES population.
Published 2025“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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182
Logistic regression for HSES population.
Published 2025“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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183
Logistic regression for overall population.
Published 2025“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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184
BMISES_Data_Part1.
Published 2025“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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185
Baseline characteristics of HSES/LSES population.
Published 2025“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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186
Baseline characteristics of overall population.
Published 2025“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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187
Diagram of study population.
Published 2025“…BMI was a significant factor in PTB for lower socioeconomic status (LSES) women. …”
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188
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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189
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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190
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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191
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DataSheet1_Pharmacological inhibition of receptor protein tyrosine phosphatase β/ζ decreases Aβ plaques and neuroinflammation in the hippocampus of APP/PS1 mice.docx
Published 2024“…In addition, we observed a significant decrease in the number and size of astrocytes in both sexes and in the number of microglial cells in a sex-dependent manner. …”
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<b>Manure improves temperature sensitivity of soil organic carbon by increasing soil alphaproteobacteria, phenols, and pH and decreasing soil esters</b>
Published 2024“…<a href="" target="_blank">There was a positive linear relationship between the Q<sub>10</sub> and SOC</a>, which implied a negative feedback of manure-increased SOC to future warming. …”
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Supplementary file 1_Intercropping of short- and tall-stature maize decreases lodging risk without yield penalty at high planting density.docx
Published 2025“…Lodging rate of sole XY under normal and high density was 4.3% and 22.0% in 2021, but lodging was absent for ZD and intercropped XY, which demonstrated that the lodging resistance of intercropped XY was significantly enhanced. This study presents a strategy to enhance maize lodging resistance without yield penalty or requiring additional inputs.…”
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200