Effect of DM, and/or <i>M. charantia</i> on the immuno-expressional level of GFAP protein in maternal cerebellar tissue of different groups. by Amoura M. Abou-El-Naga (21001524)

Supporting data for the paper "<b>The physiological cost of being hot: high thermal stress and disturbance decrease energy reserves in dragonflies in the wild</b>" by Alex Córdoba-Aguilar (10011050)

Loss of ECRG4 results in more severe cutaneous MRSA infections with systemic dissemination of bacteria. by Katie D. Pool (20141584)

Modelled policy outcomes, with posterior values for individual nodes ranked from 1-5 across the parties - Green, Reform UK, Liberal Democrat, Conservative, and Labour, where 1 is the lowest rank and 5 is the highest. The parties are ranked for each policy node in the network (e.g., income tax), based on the direction of change (“performance indicator”) stated in the first column (e.g., lowest, highest, most, improvement). For example, a value of 5 for Green tax means that green tax is lowest under Reform UK’s policies, while a value of 1 means that green tax is highest under the Green Party’s policies. Larger text in bold and italic font indicates that the directional change (i.e., increase or decrease) of a node under a party’s policies is consistent with the direction indicated, whereas black text indicates an opposite directional change (e.g., income tax is predicted to decrease under Reform UK in alignment with the performance indicator, and increase under Green and Labour). by Richard Stafford (174326)

“…Larger text in bold and italic font indicates that the directional change (i.e., increase or decrease) of a node under a party’s policies is consistent with the direction indicated, whereas black text indicates an opposite directional change (e.g., income tax is predicted to decrease under Reform UK in alignment with the performance indicator, and increase under Green and Labour).…”

Loss of ECRG4 impairs early neutrophil recruitment but not the local cutaneous cytokine response to infection. by Katie D. Pool (20141584)

ECRG4 regulates neutrophils migration to chemoattractants. by Katie D. Pool (20141584)

ECRG4 regulates neutrophil surface expression of adhesion molecules. by Katie D. Pool (20141584)

ECRG4 and adhesion molecule expression in diabetic patients. by Katie D. Pool (20141584)

Alcohol-induced fatalities and crude rates in the United States at the county level. by Tony Wong (779773)

Yearly crude rates normalized by their 1999 value. by Tony Wong (779773)

“…<p>Values below 1 indicate crude rate decreases relative to their 1999 value, those above 1 indicate increases. …”

Yearly crude rates for alcohol-induced deaths among males by state in 2019, 2021, and 2024. by Tony Wong (779773)

“…<p>In 2019, states with the largest crude rates among males were New Mexico (48.9 fatalities per 100,000), Wyoming (46.1 fatalities per 100,000), and Oregon (30.9 fatalities per 100,000). …”

Alcohol-related monthly crude rates between 2018 and 2024, stratified by gender, age and cause of death. by Tony Wong (779773)

Male-to-female ratios of yearly crude rates. by Tony Wong (779773)

“…<p>Although all ratios are consistently above unity, they are steadily decreasing across all age and race groups, particularly among younger cohorts. …”

Crude rates in select US counties between 1999 and 2024. by Tony Wong (779773)

Alcohol-related monthly crude rates for ages 15 and older between 2018 and 2024, stratified by gender and race. by Tony Wong (779773)

Moran’s I value, Z value and P value of CCD-GFEE. by Dalai Ma (17847101)

“…Within them, the CCD of Chengdu is the highest, Chongqing has achieved the largest stage leap. (4) The global Moran’s I consistently remained positive and exhibited a tendency of initially rising and subsequently falling, indicating that the spatial aggregation effect of CCD-GFEE first increased and then decreased. (5) The CCD-GFEE driving factors are examined using the spatial econometric model, and it has been observed that the impact of population size and government intervention on CCD-GFEE is negative, while the impact of industrial structure, technological progress and economic level on the coupling and coordination of CCD-GFEE is positive. …”

Seasonal spatial-temporal trend of NDVI of burned forested areas in Africa (2001–2020). by Oswaldo Maillard (20660661)

Seasonal spatial-temporal trend of NDVI of burned forested areas in Africa (2001–2020) for the two hemispheres. by Oswaldo Maillard (20660661)

Seasonal spatial-temporal trend of NDVI in burned areas across Africa (2001–2020). by Oswaldo Maillard (20660661)

Seasonal spatial-temporal trends of NDVI in burned areas across Africa, by countries and territories (2001–2020). by Oswaldo Maillard (20660661)