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)

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)

Screening Sheet: A sheet that contains the full screening process that we used to include or exclude any study. by Mohamed R. Abdelraouf (21501468)

The linearly decreasing convergence factor a. by Junhao Wei (6816803)

Specimen packaging process. by Zhezhe Zhang (19704587)

“…Under the same <i>JRC</i>, σ_<i>i</i> increases with the increase of τ₁, and Δσ_n decreases with the increasing τ₁. Under the same <i>JRC</i> and σ_<i>i</i>, τ_<i>i</i> is significantly smaller under the UNLCSL path than the CNL path. …”

In individuals affected by PCA, there is a significant downregulation of genes associated with the cholesterol biosynthetic pathway. by Leemon Nikhila (22250736)

Preparation process of concrete joint specimens. by Zhezhe Zhang (19704587)

“…Under the same <i>JRC</i>, σ_<i>i</i> increases with the increase of τ₁, and Δσ_n decreases with the increasing τ₁. Under the same <i>JRC</i> and σ_<i>i</i>, τ_<i>i</i> is significantly smaller under the UNLCSL path than the CNL path. …”

Variables of trees located at coordinates . by Alexandra M. Campbell (3284094)

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Global parameters and variables for the model. by Alexandra M. Campbell (3284094)

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Variables of patch located at coordinates . by Alexandra M. Campbell (3284094)

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MRSP Data collected in March 2018. by Alexandra M. Campbell (3284094)

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Ecological and Health Risk Mediated by Micro(nano)plastics Aging Process: Perspectives and Challenges by Kexiao Song (13003200)

“…Through combining meta-analysis and analytic hierarchy process (AHP) model, we demonstrated that, compared to virgin MNPs, aged MNPs would result in biomass decrease and oxidative stress increase on organisms and lead to total N/P decrease and greenhouse gas emissions increase on ecosystems while causing cell apoptosis, antioxidant system reaction, and inflammation in human health. …”

Ecological and Health Risk Mediated by Micro(nano)plastics Aging Process: Perspectives and Challenges by Kexiao Song (13003200)

“…Through combining meta-analysis and analytic hierarchy process (AHP) model, we demonstrated that, compared to virgin MNPs, aged MNPs would result in biomass decrease and oxidative stress increase on organisms and lead to total N/P decrease and greenhouse gas emissions increase on ecosystems while causing cell apoptosis, antioxidant system reaction, and inflammation in human health. …”

PRISMA flowchart of the study selection process. by Yohannis Derbew Molla (16471771)

“…The quality of the studies included in the review was evaluated using the Joanna Briggs Institute (JBI) critical appraisal checklist. We utilized Stata 17 statistical software for analysis. …”

Flowchart of the search process. by Razieh Bidhendi-Yarandi (7139387)

“…The results of meta-regression analyses revealed a statistically significant trend showing a gradual decrease in the prevalence of the composite outcome of anxiety and/or depression over time (RD = -0.004,P = 0.022). …”

Predictive Significance of Glycosyltransferase-Related lncRNAs in Endometrial Cancer: A Comprehensive Analysis and Experimental Validation by Xiaoyu Shen (4715430)

“…And the low-risk cohort exhibited increased immune infiltration and decreased tumor purity. Additionally, significant differences in tumor mutation profiles were observed, with the tumor mutation burden (TMB) being higher in the low-risk cohort, suggesting a potentially better response to immunotherapy. …”

Significantly decreased necrosis observed on wheat leaves inoculated with <i>ΔZtknr4</i>. by Erika Kroll (20537020)

Summary of measured parameters. by Aaron L. Sayler (19797446)

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Raw data. by Aaron L. Sayler (19797446)

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Empirical model establishment process. by Hongqi Wang (2208238)

“…By developing and validating both empirical and machine learning prediction models, we unravel the evolution of thermal conductivity in response to these factors: within the range of influencing variables, thermal conductivity exhibits an exponential or linear increase with rising water content and dry density, while it decreases exponentially with increasing freeze-thaw cycles. …”