HR (95% CI) for type 2 diabetes according to the magnitude of change in planetary health diet score during follow-up. <i>n</i> = 11,888. by Solomon A. Sowah (11917472)

“…The change categories were constructed at both the first and second follow-ups as follows: an increase or decrease less than 3% was classified as ‘Stable’, a decrease greater than 10% was classified as ‘Large decrease’, a decrease from 3% to 10% was classified as ‘Small decrease’; an increase from 3% to 10% was classified as ‘Small increase’, and an increase greater than 10% classified as ‘Large increase’. ref = reference category. …”

<b>Differential Expression of Edar and Xedar During Mouse and Rat Tail Appendage Development</b> by Sławomir Wiśniewski (8476350)

“…Mouse tissues showed a dramatic peak in Xedar expression during days 3-4, coinciding with hair follicle initiation, while rat tissues maintained relatively stable Xedar expression. …”

Image 1_Emapalumab for severe cytokine release syndrome in solid tumor CAR-T: a case report.tif by Tyler Ruemmele (20972594)

“…The hemodynamic improvement was associated with a decrease in IFN-γ and CXCL10 levels but no other cytokines. …”

RFAConv working principle. by Pingping Yan (462509)

“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”

PConv working principle. by Pingping Yan (462509)

“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”

Improvement of SPPF to SPPF-R process. by Pingping Yan (462509)

“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”

PR comparison on RSOD dataset. by Pingping Yan (462509)

“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”

Ablation study on the RSOD dataset. by Pingping Yan (462509)

“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”

Structure and working principle of LI-YOLOv8. by Pingping Yan (462509)

“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”

C2f-E improvement process. by Pingping Yan (462509)

“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”

Structure of Detect and GP-Detect. by Pingping Yan (462509)

“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”

YOLOv8 structure and working principle. by Pingping Yan (462509)

“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”

Improvement of CBS to CBR process. by Pingping Yan (462509)

“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”

EMA attention mechanism working principle. by Pingping Yan (462509)

“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”

Ablation study on the NWPU VHR-10 dataset. by Pingping Yan (462509)

“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”

GSConv working principle. by Pingping Yan (462509)

“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”

PR comparison on NWPU VHR-10 dataset. by Pingping Yan (462509)

“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”

<b>Metformin Boosts Intestinal Lipid sensing via GIP to Suppress Feeding</b> by Rachel Kuah (21646034)

“…<p dir="ltr">An acute rise of lipids in the upper small intestine (USI) of rodents and humans triggers lipid-sensing pathways to lower food intake. …”

The energy model responds more differentially to unexpected stimuli than the control model. by Mingfang Zhang (158391)

“…(G) Examples of voltage trajectories in the apical tuft and soma compartments from single neurons from layer 2 in the energy model with different MSD. (H) MSD responses decrease more strongly for the energy model compared to the control model, as a function of decreased top-down clamping, for both somatic and tuft response.…”

Identification of narciclasine as a novel NRF2 inhibitor by Hoang Hai Ngo (20564072)

“…<p>Cancer genome sequencing studies have identified somatic mutations in the KEAP1/NRF2 pathway. In an effort to identify novel NRF2 small molecule inhibitor(s), we have screened a natural compound library comprising 1330 chemicals in A549-ARE-GFP-luciferase cells and identified that narciclasine significantly inhibits NRF2-dependent luciferase activity. …”