DataSheet1_Time Series Transcriptomic Analysis by RNA Sequencing Reveals a Key Role of PI3K in Sepsis-Induced Myocardial Injury in Mice.zip by Xiao Yan (641696)

“…CLP surgery resulted in a significant decrease of animal survival rate and left ventricle contractile function, and an increase in cardiac dilation and infiltration of proinflammatory cells including Mac-2⁺ macrophages in a time-dependent manner. …”

DataSheet3_Time Series Transcriptomic Analysis by RNA Sequencing Reveals a Key Role of PI3K in Sepsis-Induced Myocardial Injury in Mice.DOCX by Xiao Yan (641696)

“…CLP surgery resulted in a significant decrease of animal survival rate and left ventricle contractile function, and an increase in cardiac dilation and infiltration of proinflammatory cells including Mac-2⁺ macrophages in a time-dependent manner. …”

DataSheet2_Time Series Transcriptomic Analysis by RNA Sequencing Reveals a Key Role of PI3K in Sepsis-Induced Myocardial Injury in Mice.zip by Xiao Yan (641696)

“…CLP surgery resulted in a significant decrease of animal survival rate and left ventricle contractile function, and an increase in cardiac dilation and infiltration of proinflammatory cells including Mac-2⁺ macrophages in a time-dependent manner. …”

The hourly temperatures in the phytotron. by Lifeng Guo (17320116)

“…The concentrations of the antioxidant and osmotic regulation systems in rice peaked after 7 days of LTS treatment, indicating that the stress response to LTS showed a trend of initially increasing and subsequently decreasing. …”

Autophagy prevents ox-LDL-induced foam cell formation in THP-1 cells. by Hong-Feng Gu (287123)

Annual rainfalls of stations in the study area. by Menbere Sahilu (18195856)

“…Moreover, a significant increasing trend of annual rainfall was observed in the highlands AEZs (Bore 15.3mm/year and Solemo14.6mm/year), lowland AEZs (Chembe 10.9mm/year, Dawa 8mm/year and Bitata 7.8mm/year) as well as midland AEZs (Kercha 14.5mm/year) at a significant level of 5%. …”

Trends of seasonal rainfall in the study area. by Menbere Sahilu (18195856)

“…Moreover, a significant increasing trend of annual rainfall was observed in the highlands AEZs (Bore 15.3mm/year and Solemo14.6mm/year), lowland AEZs (Chembe 10.9mm/year, Dawa 8mm/year and Bitata 7.8mm/year) as well as midland AEZs (Kercha 14.5mm/year) at a significant level of 5%. …”

Trends of annual rainfall in the study area. by Menbere Sahilu (18195856)

“…Moreover, a significant increasing trend of annual rainfall was observed in the highlands AEZs (Bore 15.3mm/year and Solemo14.6mm/year), lowland AEZs (Chembe 10.9mm/year, Dawa 8mm/year and Bitata 7.8mm/year) as well as midland AEZs (Kercha 14.5mm/year) at a significant level of 5%. …”

The impact of genetic ablation of pulmonary vagal sensory neurons on IAV pathogenesis. by Nathalie A. J. Verzele (18389733)

Annual rainfall variability using PCI and CV. by Menbere Sahilu (18195856)

“…Moreover, a significant increasing trend of annual rainfall was observed in the highlands AEZs (Bore 15.3mm/year and Solemo14.6mm/year), lowland AEZs (Chembe 10.9mm/year, Dawa 8mm/year and Bitata 7.8mm/year) as well as midland AEZs (Kercha 14.5mm/year) at a significant level of 5%. …”

NC rescues autophagy flux via inhibiting the PI3K /m-TOR pathway. by Hong-Feng Gu (287123)

Spatial distribution of rainfall using Inverse Distance Weighted Interpolation (IDWI). by Menbere Sahilu (18195856)

Location map of the study area. by Menbere Sahilu (18195856)

Distributions of AEZs in the study area. by Menbere Sahilu (18195856)

Population characteristics for FBSS patients. by Peter A. Pahapill (8468607)

Population characteristics for healthy control patients. by Peter A. Pahapill (8468607)

The brain regions of each resting state network (RSN). by Peter A. Pahapill (8468607)

Referenced studies with functional connectivity correlations with intensity and/or duration of chronic pain. by Peter A. Pahapill (8468607)

Regional-based FC between each pair of brain regions for CN group and FBSS group. by Peter A. Pahapill (8468607)

Functional connectivity (FC) within each network for control and FBSS groups. by Peter A. Pahapill (8468607)