Multivariate analysis of the outcomes among the newborns who mothers receive or did not receive ACS. by Prajwal Paudel (7359209)

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Bivariate analysis of morbidities among newborns whose mothers received or did not receive ACS. by Prajwal Paudel (7359209)

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Multivariate analysis of the morbidities among the newborns who mothers receive or did not receive ACS. by Prajwal Paudel (7359209)

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Dilated Cardiomyopathy-related mortality trends from 1999 to 2023, stratified by Urbanization in the United States. by Zian Zafar Cheema (22446246)

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Dilated Cardiomyopathy-related mortality trends from 1999 to 2023, stratified by Census Regions in the United States. by Zian Zafar Cheema (22446246)

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Dilated Cardiomyopathy-related mortality trends from 1999 to 2023, stratified by the Overall population and Sex in the United States. by Zian Zafar Cheema (22446246)

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Dilated Cardiomyopathy-related mortality trends from 1999 to 2023, stratified by the Racial groups in the United States. by Zian Zafar Cheema (22446246)

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Decreased childhood asthma hospitalizations linked to hotter, drier climate with lower wind speed in drylands by Klézio Silva Monte (20579829)

“…A generalized additive model analyzed the association between these trends, and the Mann-Kendall test determined if trends were increasing, decreasing, or not significant. Thirteen municipalities showed a significant link between hospitalizations and climate variables, especially wind speed, maximum temperature, and humidity. …”

Statistically significant linear increase in use of antidepressants during the observed time period. by Jelena Filimonovic (22305307)

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Spontaneous oxycodone withdrawal initially flattens NREM power rhythms, decreases low frequency and increases high frequency power. by Michael Gulledge (20577135)

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SBP3 KD decreases cytoadhesion of iRBCs to bovine brain endothelial cells (BBECs). by Atefeh Fathi (7370876)

<i>Elsholtzia ciliata</i> extract (ECE) treatment decreases coronavirus-induced plaque formation. by Siyun Lee (17087351)

“…<b>(B)</b> ECE treatment decreases plaque formation in a dose-dependent manner. …”

VP16 protein abundance is decreased at low MOI in the ΔCTRL2 recombinant virus. by Pankaj Singh (116938)

EDLIoT: A method for decreasing energy consumption and latency using scheduling algorithm in Internet of Things by Arash GhorbanniaDelavar (22563696)

Data from: Colony losses of stingless bees increase in agricultural areas, but decrease in forested areas by Malena Sibaja Leyton (18400983)

“…Moreover, annual colony losses also decreased with higher abundance of surrounding forested area. …”

Testing set error. by Xiangjuan Liu (618000)

“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …”

Internal structure of an LSTM cell. by Xiangjuan Liu (618000)

“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …”

Prediction effect of each model after STL. by Xiangjuan Liu (618000)

“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …”

The kernel density plot for data of each feature. by Xiangjuan Liu (618000)

“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …”

Analysis of raw data prediction results. by Xiangjuan Liu (618000)

“…Further integration of Spearman correlation analysis and PCA dimensionality reduction created multidimensional feature sets, revealing substantial accuracy improvements: The BiLSTM model achieved an 83.6% cumulative MAE reduction from 1.65 (raw data) to 0.27 (STL-PCA), while traditional models like Prophet showed an 82.2% MAE decrease after feature engineering optimization. …”