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. …”

ARIMA results to determine effects of COVID-19 pandemic on essential health services in Addis Ababa, Ethiopia. by Admas Abera (11821659)

High-intensity light induces rod and cone cell death in <i>clrn1</i>^-/- zebrafish. by Hannah J. T. Nonarath (20861735)

“…Quantification of (h) WGA- and (i) PNA-positive outer segments along a 100 µm section of the central retina revealed a significant decrease in rod and cone outer segments in light-damaged <i>clrn1</i>^<i>-/-</i> zebrafish. …”

Data analysed during this study. by Jakkrit Juhong (20968015)

“…These changes included a decrease in the abundance of <i>Staphylococcus</i> and <i>Bacillus</i> species and an increase in the abundance of <i>Streptococcus, Haemophilus, and Neisseria.…”

Spatial econometric model estimation results. by Zijie Li (776536)

“…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”

Description of various production factors. by Zijie Li (776536)

“…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”

Regression coefficients of production function. by Zijie Li (776536)

“…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”

Production function regression ridge trace. by Zijie Li (776536)

“…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”

Model test results. by Zijie Li (776536)

“…In the stage of high-quality development (2012 present), the contribution rate of technological factors continued to rise and become the dominant factor, while the contribution rate of land factors has decreased to a lower level. (2) Regarding spatial characteristics, the spatial econometric model reveals significant spatial agglomeration characteristics of capital and labor, and land factors positively affect local and neighboring economic growth. …”

A particular class of CSR 22Gs are up-regulated in synMuv B mutants. by Ashwin Seetharaman (615458)

Demographic structure and Employment categorization. by Nehal Mohamed Eisa (21148787)

Burn out assessment throughout demographic structure of the participant. by Nehal Mohamed Eisa (21148787)

Stack column chart represent Emotional Exhaustion through demographic structure. by Nehal Mohamed Eisa (21148787)

Donut chart shows Demographic structure and Employment categorization. by Nehal Mohamed Eisa (21148787)

Stack column chart represent Depersonalization through demographic structure. by Nehal Mohamed Eisa (21148787)

Stack column chart represent Personal Accomplishment through demographic structure. by Nehal Mohamed Eisa (21148787)

i & ii: PCA represent the (i) 2d and (ii) 3d to identify the underlying dimensions of the lifestyle questions. by Nehal Mohamed Eisa (21148787)

Heatmap represents the criterion of health lifestyle survey. (Color guide is provided above each figure). by Nehal Mohamed Eisa (21148787)

Mechanism of hydrocephalus formation involving inflammation after IVH. by Tong Sun (1564231)

“…<p>Following IVH, blood-related metabolites promote a significant increase in TNF-α levels in CSF. …”