Proportion of the increase (green) or decrease (red) in forest cover in areas with different fire recurrences in Africa, according to the Mann-Kendall test and statistically signif... حسب Oswaldo Maillard (20660661)

Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020). Percentages (%) of increases or decreases (%) based on the Mann-Kendall test and statistically si... حسب Oswaldo Maillard (20660661)

Principal Component Analysis (PCA) to illustrate the distribution of the significant lipid metabolites among the groups (NL, SS and MASH). حسب Laia Bertran (3685147)

Tissue, days post-infection (dpi) and the top 10 most significant genes with increased and decreased expression with valid gene symbols for the response contrasts. حسب Gillian P. McHugo (8965919)

Correlation and principal component analysis. حسب Jie Wei (264772)

Summary of significant treatment × time effect. حسب Wensheng Xiao (16557866)

Summary of significant single-arm time effect. حسب Wensheng Xiao (16557866)

The top 10 putative metabolites with the largest negative fold change between normal and thin cows. حسب Bhuripit Saraphol (20855573)

The top 10 putative metabolites with the largest positive fold change between normal and thin cows. حسب Bhuripit Saraphol (20855573)

Key significant pathways in the final models of self-compassion. حسب Eriko Takahashi (22608061)

الموضوعات:

Active organic carbon components before and after mineralization. حسب Jie Wei (264772)

Principal component analyses (left) and cumulative components (right) of the studied parameters of moringa plants under drought stress conditions. حسب Nadia Khater (22553166)

Composition of WEO Components. حسب Yi Wang (32470)

الموضوعات:

Madrasin decreases transcription of protein-coding genes. حسب Michael Tellier (8284752)

Mineral component content. حسب Chuan Li (158692)

Diffusion coefficients of asphalt components. حسب Yi Wang (32470)

الموضوعات:

SARIMA predicts season components. حسب Xiangjuan Liu (618000)

"…First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price series, where results demonstrated that deep learning models significantly outperformed traditional methods. Subsequently, STL decomposition decoupled the series into trend, seasonal, and residual components for component-specific modeling, achieving a 22.6% reduction in average MAE compared to raw data modeling. …"

Descriptive Statistic and Principal Component Analysis of Interview Judgments. حسب David Vagni (8060432)

الموضوعات:

Variation of active components in FCM after fermentation of probiotics. حسب Ruiming Xiao (6389546)

الموضوعات:

Analysis of Significantly Different Bacteria. حسب Xu Jia (187142)