Sample characteristics using MICS 2012 and 2019. by Satyajit Kundu (9078709)

“…Although childhood stunting has decreased in Bangladesh over time, the current prevalence remains high. …”

Consecutive time points of data collection. by Martin Matzka (2636344)

“…Effect sizes expectedly decreased over time. Physical quality of life remained relatively constant over time and was the only outcome for which social integration on admission was not a significant prognostic factor.…”

Flow chart of study sample. by Martin Matzka (2636344)

“…Effect sizes expectedly decreased over time. Physical quality of life remained relatively constant over time and was the only outcome for which social integration on admission was not a significant prognostic factor.…”

Evidence of the Giant Barocaloric Effect in the PVA-Slime System by Molecular Dynamics Simulations by Richard Javier Caraballo-Vivas (22113727)

“…As a result, this contributes significantly to the change in internal energy and, consequently, to the barocaloric effect. …”

Evidence of the Giant Barocaloric Effect in the PVA-Slime System by Molecular Dynamics Simulations by Richard Javier Caraballo-Vivas (22113727)

“…As a result, this contributes significantly to the change in internal energy and, consequently, to the barocaloric effect. …”

Minimal data set. by Daan P. van den Brink (9900073)

“…Other markers of endothelial injury or inflammation were not significantly different between groups. No significant differences were observed in histologic injury scores and wet-to-dry ratios.…”

Flowchart of the study population. by Gábor Szaló (22615130)

“…The associations between perceived stress and artery elasticity indices were investigated using linear and logistic regressions with adjustments for possible confounding in different models. Due to significant interactions tests we stratified for men and women and for individuals with and without antihypertensive medication.…”

Characteristics of study population. by Gábor Szaló (22615130)

“…The associations between perceived stress and artery elasticity indices were investigated using linear and logistic regressions with adjustments for possible confounding in different models. Due to significant interactions tests we stratified for men and women and for individuals with and without antihypertensive medication.…”

Differentially used transcripts (DUT) for T1R and LEP groups suggest dysregulation of inflammatory circuitry in T1R. by Wilian Correa-Macedo (11813183)

“…Next, DUT with non-significant changes were assigned PΔ = 0. Given that no gene ontology (GO) or pathway enrichments were found, we searched the annotated function of each implicated gene in the GO, Reactome and KEGG databases. …”

Primers for quantitative real-time PCR. by Ya-nan Hu (12508990)

“…</p><p>Results</p><p>Immunofluorescence analysis revealed no significant difference in the intracellular localization of the p.Gly343Ser mutation, whereas protein expression of the p.Ala627Thr mutation was decreased and predominantly localized in the cytoplasm. …”

Metals concentrations in selected coal samples. by Ruchika Kishor Jain (19704102)

“…After BAI-RCD treatment, both cell lines showed a decrease in antioxidant stress measures (SOD, CAT, and GSH) and a significant (<i>p</i> < 0.001) increase in oxidative stress parameters (NADPH, MPO, LPO, and PC). …”

BAI as a percent release at pH 4.5. by Ruchika Kishor Jain (19704102)

“…After BAI-RCD treatment, both cell lines showed a decrease in antioxidant stress measures (SOD, CAT, and GSH) and a significant (<i>p</i> < 0.001) increase in oxidative stress parameters (NADPH, MPO, LPO, and PC). …”

Weight and plasma biochemistry. by Søren Egstrand (10906087)

“…In the present study, we found significant diurnal rhythmicity of <i>Casr</i>, encoding the Cinacalcet drug target in hyperplastic parathyroid glands (p = 0.006). …”

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. We propose a lightweight small target detection algorithm for remote sensing images that combines GSConv and PConv, named LI-YOLOv8. …”

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. We propose a lightweight small target detection algorithm for remote sensing images that combines GSConv and PConv, named LI-YOLOv8. …”

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. We propose a lightweight small target detection algorithm for remote sensing images that combines GSConv and PConv, named LI-YOLOv8. …”

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. We propose a lightweight small target detection algorithm for remote sensing images that combines GSConv and PConv, named LI-YOLOv8. …”

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. We propose a lightweight small target detection algorithm for remote sensing images that combines GSConv and PConv, named LI-YOLOv8. …”

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. We propose a lightweight small target detection algorithm for remote sensing images that combines GSConv and PConv, named LI-YOLOv8. …”

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. We propose a lightweight small target detection algorithm for remote sensing images that combines GSConv and PConv, named LI-YOLOv8. …”