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. …”

PA inhibits PI3K/AKT pathways in osteosarcoma cells. by Zeyu Zhan (22305085)

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PA triggers autophagy in osteosarcoma cells. by Zeyu Zhan (22305085)

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Molecular Docking Analysis of PA with its core target. by Zeyu Zhan (22305085)

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PA-induced apoptosis in osteosarcoma cells. by Zeyu Zhan (22305085)

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PA inhibits the proliferation of osteosarcoma cells. by Zeyu Zhan (22305085)

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GO and KEGG analysis results of PA against osteosarcoma. by Zeyu Zhan (22305085)

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Potential targets and PPI networks of PA against osteosarcoma. by Zeyu Zhan (22305085)

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Potential mechanism of anti-osteosarcoma activity of PA. by Zeyu Zhan (22305085)

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Deleting liver-innervating cholinergic neurons induces beiging of ingWAT. by Jiyeon Hwang (19747297)

“…(F, G) Western blot images of ingWAT showing an increase in UCP1 expression in experimental mice. Images of confocal fluorescence microscopy showing increased UCP1 expression in the ingWAT of experimental mice (G). …”

Col outcomes QR. by Felipe Agudelo-Hernández (20790521)

“…While students demonstrated enhanced human rights knowledge and less stigmatizing attitudes, we observed a concurrent decrease in benevolence scores.…”

Pre-post comparison of study variables. by Felipe Agudelo-Hernández (20790521)

“…While students demonstrated enhanced human rights knowledge and less stigmatizing attitudes, we observed a concurrent decrease in benevolence scores.…”

The spatial pattern of dengue including hotspot and coldspot in Bangladesh in 2019–2023. by Kamal Hossain (331680)

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The spatial distribution of dengue incidence rate per million by month across districts of Bangladesh in 2023. by Kamal Hossain (331680)

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The spatial (districtwide) distribution of census population of Bangladesh in 2022. by Kamal Hossain (331680)

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The spatial distribution of dengue incidence rate per million by month across districts of Bangladesh in 2022. by Kamal Hossain (331680)

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Global Spatial Autocorrelation Analysis of dengue log incidence rate (DLIR) with higher order neighbor districts in the study periods. by Kamal Hossain (331680)

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The spatial distribution of districtwide dengue cases and dengue incidence rate (DIR) per million in Bangladesh in 2019–2023. by Kamal Hossain (331680)

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Monthly distribution of dengue cases across Bangladesh in 2022–2023. by Kamal Hossain (331680)

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Flowchart of Methodology. by Kamal Hossain (331680)

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