Obese <i>mMgat2</i> and <i>HuMgat2</i> mice show defects in Akt insulin signaling. by J. Jose Corbalan (22439198)

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Nuclear Srebp1 and Srebp2 protein levels and Srebp-dependent lipogenic gene expression are elevated in obese <i>mMgat2</i> and <i>HuMgat2</i> mice. by J. Jose Corbalan (22439198)

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Obese <i>mMgat2</i> and <i>HuMgat2</i> mice have elevated Krebs cycle intermediate levels. by J. Jose Corbalan (22439198)

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<i>mMgat2</i> and <i>HuMgat2</i> mice exhibit a transcriptomic profile indicating impairments in metabolite detoxification and lipid metabolic processes. by J. Jose Corbalan (22439198)

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<i>mMgat2</i> and <i>HuMgat2</i> mice become obese when fed a HFD. by J. Jose Corbalan (22439198)

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Under steatotic conditions, primary <i>mMgat2</i> and <i>HuMgat2</i> hepatocytes induce apoptosis. by J. Jose Corbalan (22439198)

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Tgfβ-1 levels drives liver collagen deposition and pJak2-pStat3 signaling in obese <i>mMgat2</i> and <i>HuMgat2</i> mice. by J. Jose Corbalan (22439198)

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Obese <i>mMgat2</i> and <i>HuMgat2</i> mice show defects in solute transporter protein levels. by J. Jose Corbalan (22439198)

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Obese <i>HuMgat2</i> mice show defects in cytochrome P450 protein levels. by J. Jose Corbalan (22439198)

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Obese <i>mMgat2</i> and <i>HuMgat2</i> mice develop MASLD and fibrosis on an HFD. by J. Jose Corbalan (22439198)

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R code for data analysis. by Mi Zhou (9884)

“…Negative binomial regression shows that students have the lowest PA in their transition year grade 6, and their screen time decreased with the grade increased. Significant differences can be found across gender. …”

Description of demographics and PA results. by Mi Zhou (9884)

“…Negative binomial regression shows that students have the lowest PA in their transition year grade 6, and their screen time decreased with the grade increased. Significant differences can be found across gender. …”

The response of the <i>A</i>. <i>albopictus</i> larval Glutathione S-transferase (GST) enzyme increased 7.8-fold in response to <i>M</i>. <i>robertsii</i>-derived copper nanopartic... by Perumal Vivekanandhan (4863484)

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ERI Thresholds Between Adjacent Zones. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Location of the study area. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Random Forest structure with cross-validation. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Land use change from 1990 to 2020. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Geographic data. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Classification accuracy. by Mingyue Sun (4638535)

“…The thresholds of the ERI in the oasis zone-transition zone and the transition zone-desert zone were 0.08–0.085 and 0.111–0.118, respectively. (2) Socioeconomic factors, including infrastructure expansion, population density, and GDP, were dominant influences, contributing 64% to the ERI, whereas the influence of natural factors such as climate declined. (3) The low-ERI areas increased by 3.3% under government control, and the transition zones increased significantly, slowing the growth rate of the oasis zone. …”

Association between CAP value and carotid-femoral pulse wave velocity. by Johannes Nairz (18010746)

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