Summary of study participation and feasibility. by Biban Gill (1473337)

“…Considering the high prevalence of BV among African, Caribbean and Black (ACB) women, we conducted a prospective, randomized, open-label phase 1 clinical trial to determine the feasibility, safety and tolerability of administering low-dose estrogen, probiotics or both in combination to improve vaginal health and decrease HIV-1 susceptibility.…”

Participant characteristics by village. by Tyler M. Barrett (20846174)

“…We hypothesized that farmers with greater market-based wealth and more farming experience would have higher odds of adaptation. …”

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

Antibodies used in this study. by Kevin J. Kokesh (19859571)

“…Protein kinase C (PKC) activity was greater in the CF cells compared to the non-CF cells, but the activity was significantly attenuated in both cell types after infection with <i>M</i>. …”

Time and flowrate used for proteomics. by Kevin J. Kokesh (19859571)

“…Protein kinase C (PKC) activity was greater in the CF cells compared to the non-CF cells, but the activity was significantly attenuated in both cell types after infection with <i>M</i>. …”

S1 Graphical abstract - by Kevin J. Kokesh (19859571)

“…Protein kinase C (PKC) activity was greater in the CF cells compared to the non-CF cells, but the activity was significantly attenuated in both cell types after infection with <i>M</i>. …”

Supplementary information–dataset. by Leriana Garcia Reis (12646978)

“…HF diet and light treatment increased fecal corticosterone output (P<0.05) during lactation. Dams exhibited significant 12 h and 24 h rhythms of activity out of the nest in the first 48 h postnatal, with time outside of the nest greater in the second 24 h period. …”

Experimental timeline overview. by Leriana Garcia Reis (12646978)

“…HF diet and light treatment increased fecal corticosterone output (P<0.05) during lactation. Dams exhibited significant 12 h and 24 h rhythms of activity out of the nest in the first 48 h postnatal, with time outside of the nest greater in the second 24 h period. …”

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. …”

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. …”

Cyclization Decoded: Engineering Amylomaltase for Efficient α‑Glucan Transformations by Han Liu (288039)

“…Furthermore, we identify that postglycosylation noncovalent polysaccharide chain transfer emerges as the decisive factor in cyclization, particularly for AM–degree of polymerization (DP) greater than 30 substrate complexes, where this noncovalent step (≥13.6 kcal/mol) dictates the rate of CA production. 57 variants with enhanced activity (up to a 2.3-fold increase) were engineered in our biochemical experiments by strategically modulating the chain transfer step. …”

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. …”

Decision-maker informed optimal policy design. by Hongru Du (4640212)

Supplementary Material for: Forecasting the Worldwide Impact of Stroke for individuals aged 45 and above by Fan W. (11417327)

“…Background:We aimed to assess the global impact of stroke in people aged 45 years and older between 1990 and 2030, focusing on morbidity, mortality and disability-adjusted life years (DALYs). …”