HSV-1 infection modulates the fatty acid synthase. by Camilla Albano (16446679)

AC-LPN circuit control high temperature induced increase of evening sleep. by Xin Yuan (174619)

“…(D–G) Optogenetic activation of ppkACs with CsChrimson (<i>Ppk-LexA>LexAop-CsChrimson</i>) increases LPN activity in vivo (D). Scale bars, 10 mm. …”

Aging impairs renal mitochondrial function and antioxidant capacity. by Lihua Qiu (178071)

Effect of aging on cellular senescence in the mouse kidney. by Lihua Qiu (178071)

The mean and standard error of take-over reaction time for type A, type B, and type C autonomous driving information display types under various scenario complexities. by Chengmin Zhou (14554562)

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Cellular migration in LECs of βA3ΔG91 vs. WT mice using the scratch and transwell assays. by Akosua K. Boateng (21672931)

Voxel-based whole-hemisphere analysis shows regional and dose-dependent decrease of microglia. by Francesca Catto (21253435)

“…<p>(A) Each 3-dimensional map of statistically affected voxels (p < 0.05, with the red scale, representing the significance in decrease of microglia, and the cyan scale, representing the increase in microglia; reference atlas is grey) summarizes all the treated and control samples within a cohort (3 samples per group). …”

Evolution of fertility rates in the age groups of 10 to 14 years and 15 to 19 years in Brazil, 2012–2021. by Rosa Maria Soares Madeira Domingues (2795005)

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Test statistics and p-value of the Mann-Kendall test for the fertility rate of the age groups 10 to 14 years and 15 to 19 years. Brazil and Federative Units, 2012 - 2021. by Rosa Maria Soares Madeira Domingues (2795005)

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Adjusted model of the effect of primary care coverage, the Municipal Human Development index and the COVID-19 pandemic on the fertility rate of women under 20 years of age. Brazil,... by Rosa Maria Soares Madeira Domingues (2795005)

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Predicted values of the fertility rate of women under 20 years of age according to HDI-M values, Primary Care Population coverage and information on the year of the pandemic. Brazi... by Rosa Maria Soares Madeira Domingues (2795005)

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Clustering validation metrics for fertility rates in the age groups of 10 to 14 years and 15 to 19 years. Brazil, 2018-2019 and 2020-2021. by Rosa Maria Soares Madeira Domingues (2795005)

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Distribution of groups of municipalities formed by municipalities with similar fertility rate of women aged 15 to 19 years in the pre-pandemic period (on the left) and in the pande... by Rosa Maria Soares Madeira Domingues (2795005)

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Distribution of groups of municipalities formed by municipalities with similar fertility rate of women aged 10 to 14 years in the pre-pandemic period (on the left) and in the pande... by Rosa Maria Soares Madeira Domingues (2795005)

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Major hyperparameters of RF-SVR. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Pseudo code for coupling model execution process. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Major hyperparameters of RF-MLPR. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Results of RF algorithm screening factors. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

Schematic diagram of the basic principles of SVR. by Jintao Li (448681)

“…For instance, the RF-MLPR model achieved a 3.7%–6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R² value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”

The relative importance by dominance analysis. by Lijuan Zhao (1387689)

“…</p><p>Results</p><p>Results indicate that negative life experiences have a significant negative impact on sense of security, which first decreases but then increases over time. …”