Effect of the Surface Peak–Valley Features on Droplet Impact Dynamics under Leidenfrost Temperature by Yunlong Jiao (6672764)

“…When the microtexture area occupancy is 50%, it is worth noting that the micropit and micropillar surfaces have nearly same roughness (<i>Sa</i>), but the Leidenfrost temperature was notably higher on the micropit surface with negative skewness (<i>Ssk</i> < 0), which was related to differences in vapor flow dynamics. We further find that the Weber number (<i>We</i>) significantly influences the Leidenfrost point, with the droplet impact wall behavior going through the states of film bounce back, ejecting tiny droplets and bounce back, and ultimately droplet breakup as the <i>We</i> increases. …”

Effect of the Surface Peak–Valley Features on Droplet Impact Dynamics under Leidenfrost Temperature by Yunlong Jiao (6672764)

“…When the microtexture area occupancy is 50%, it is worth noting that the micropit and micropillar surfaces have nearly same roughness (<i>Sa</i>), but the Leidenfrost temperature was notably higher on the micropit surface with negative skewness (<i>Ssk</i> < 0), which was related to differences in vapor flow dynamics. We further find that the Weber number (<i>We</i>) significantly influences the Leidenfrost point, with the droplet impact wall behavior going through the states of film bounce back, ejecting tiny droplets and bounce back, and ultimately droplet breakup as the <i>We</i> increases. …”

Effect of the Surface Peak–Valley Features on Droplet Impact Dynamics under Leidenfrost Temperature by Yunlong Jiao (6672764)

“…When the microtexture area occupancy is 50%, it is worth noting that the micropit and micropillar surfaces have nearly same roughness (<i>Sa</i>), but the Leidenfrost temperature was notably higher on the micropit surface with negative skewness (<i>Ssk</i> < 0), which was related to differences in vapor flow dynamics. We further find that the Weber number (<i>We</i>) significantly influences the Leidenfrost point, with the droplet impact wall behavior going through the states of film bounce back, ejecting tiny droplets and bounce back, and ultimately droplet breakup as the <i>We</i> increases. …”

Effect of the Surface Peak–Valley Features on Droplet Impact Dynamics under Leidenfrost Temperature by Yunlong Jiao (6672764)

“…When the microtexture area occupancy is 50%, it is worth noting that the micropit and micropillar surfaces have nearly same roughness (<i>Sa</i>), but the Leidenfrost temperature was notably higher on the micropit surface with negative skewness (<i>Ssk</i> < 0), which was related to differences in vapor flow dynamics. We further find that the Weber number (<i>We</i>) significantly influences the Leidenfrost point, with the droplet impact wall behavior going through the states of film bounce back, ejecting tiny droplets and bounce back, and ultimately droplet breakup as the <i>We</i> increases. …”

S1 File - by Luqiong Liu (11537092)

“…Compared with LPS treatment alone, BA significantly mitigated the reduction in the TEER, decreased FD-4 flux permeability, increased the mRNA expression of ZO-1 and Occludin, and normalized the distribution of ZO-1 and Occludin in Caco2 cells. …”

Experimental treatments and groups. by Luqiong Liu (11537092)

“…Compared with LPS treatment alone, BA significantly mitigated the reduction in the TEER, decreased FD-4 flux permeability, increased the mRNA expression of ZO-1 and Occludin, and normalized the distribution of ZO-1 and Occludin in Caco2 cells. …”

Primers for RT-qPCR. by Luqiong Liu (11537092)

“…Compared with LPS treatment alone, BA significantly mitigated the reduction in the TEER, decreased FD-4 flux permeability, increased the mRNA expression of ZO-1 and Occludin, and normalized the distribution of ZO-1 and Occludin in Caco2 cells. …”

Variability of gait features during adaptation. by Samantha Jeffcoat (22783930)

“…<p>A) We observed significant differences between groups in step length asymmetry variability during EA. …”

Bacterial strains used in this study. by Nobuo Fuke (22190368)

“…<i><i>elegans</i></i>. We cultured <i><i>Escherichia coli</i></i> OP50 (the standard <i><i>C</i></i>. …”

Annual distribution of IG-ralated AE reports. by Shaozhi Liu (13720340)

“…In the overall population, the most significant signals included blood glucose abnormal (IC025 = 4.86), blood glucose fluctuation (IC025 = 4.69), blood glucose decreased (IC025 = 4.44), hypoglycaemic seizure (IC025 = 4.44) and hypoglycaemic unconsciousness (IC025 = 4.31). …”

Proportion of AEs by SOCs in pregnant women. by Shaozhi Liu (13720340)

“…In the overall population, the most significant signals included blood glucose abnormal (IC025 = 4.86), blood glucose fluctuation (IC025 = 4.69), blood glucose decreased (IC025 = 4.44), hypoglycaemic seizure (IC025 = 4.44) and hypoglycaemic unconsciousness (IC025 = 4.31). …”

Key Resources. by Jeffrey Chin (22538086)

“…Unexpectedly, we found that Tax1bp1-deficient mice were less susceptible to <i>Mtb</i> infection, and generated reduced inflammatory cytokine responses, compared to wild-type mice; the same mutant mice exhibited decreased growth of, and inflammatory cytokine responses to, <i>Listeria monocytogenes</i>, suggesting that Tax1bp1 plays a role in host responses to multiple intracellular pathogens. …”

Tax1bp1-deficiency reduces autophagy flux. by Jeffrey Chin (22538086)

“…Unexpectedly, we found that Tax1bp1-deficient mice were less susceptible to <i>Mtb</i> infection, and generated reduced inflammatory cytokine responses, compared to wild-type mice; the same mutant mice exhibited decreased growth of, and inflammatory cytokine responses to, <i>Listeria monocytogenes</i>, suggesting that Tax1bp1 plays a role in host responses to multiple intracellular pathogens. …”

Physics-Assisted Machine Learning for the Simulation of the Slurry Drying in the Manufacturing Process of Battery Electrodes: A Hybrid Time-Dependent VGG16-DEM Model by Diego E. Galvez-Aranda (9436672)

“…Furthermore, the integration of DL significantly reduced the computational cost versus the original DEM model simulation, decreasing the calculation time from 615 to 36 min for the whole slurry drying simulation process. …”

Scheme of g-λ model with larger values λ. by Zhanfeng Fan (20390992)

“…The findings suggest that when λ is respectively equal to 4.19, 8.57, 10, and 12.15, the peak particle velocity (PPV) of the transmitted waves is significantly close to the incident wave amplitude. Furthermore, when λ is fixed, the energy transmission coefficient increases with the incident wave amplitude but decreases with the incident wave frequency. …”

The basic flowchart of analysis in this study. by Jing Wang (6206297)

“…Subsequently, in the single-cell analysis of AD peripheral blood, all hub-genes except SOD1 were found to be up-regulated in B cells, NK cells, and CD4+ T cells, possibly acting on the MIF pathway. Finally, we discovered that the levels of <i>PDK1</i> expression in AD patients were remarkably upregulated, while <i>FDX1</i> and <i>GLS</i> were significantly decreased using qPCR.…”

The enriched GO terms of the 19 DECAGs. by Jing Wang (6206297)

“…Subsequently, in the single-cell analysis of AD peripheral blood, all hub-genes except SOD1 were found to be up-regulated in B cells, NK cells, and CD4+ T cells, possibly acting on the MIF pathway. Finally, we discovered that the levels of <i>PDK1</i> expression in AD patients were remarkably upregulated, while <i>FDX1</i> and <i>GLS</i> were significantly decreased using qPCR.…”

Primers of the tested genes. by Jing Wang (6206297)

“…Subsequently, in the single-cell analysis of AD peripheral blood, all hub-genes except SOD1 were found to be up-regulated in B cells, NK cells, and CD4+ T cells, possibly acting on the MIF pathway. Finally, we discovered that the levels of <i>PDK1</i> expression in AD patients were remarkably upregulated, while <i>FDX1</i> and <i>GLS</i> were significantly decreased using qPCR.…”

Summary of patient demographic characteristics. by Jing Wang (6206297)

“…Subsequently, in the single-cell analysis of AD peripheral blood, all hub-genes except SOD1 were found to be up-regulated in B cells, NK cells, and CD4+ T cells, possibly acting on the MIF pathway. Finally, we discovered that the levels of <i>PDK1</i> expression in AD patients were remarkably upregulated, while <i>FDX1</i> and <i>GLS</i> were significantly decreased using qPCR.…”

Necrotizing Enterocolitis, cytokines, and neuroinflammation. by Cuilee Sha (4836888)