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

Larger example of stimuli with cue relevant for Task 3. by Marcel F. Hinss (14675457)

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

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

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

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

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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... by Oswaldo Maillard (20660661)

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

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

Composition of WEO Components. by Yi Wang (32470)

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

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... by Oswaldo Maillard (20660661)

Scheme of g-λ model with larger values λ. by Zhanfeng Fan (20390992)

“…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. …”

Mineral component content. by Chuan Li (158692)

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

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SARIMA predicts season components. by 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. by David Vagni (8060432)

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

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

Correlation analysis of groundwater hydrochemical components. by Miaomiao Ma (2475883)

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