Postmortem confirmation of tetrode placement. by Alice Berners-Lee (15354255)

Data obtained from monitoring patients. by Ana Gabriela Gomes Ferrari Strang (17068913)

“…Children born to untreated mothers have 6.5-times higher risk of being infected; the transmission rate among untreated mothers was 50% versus 8.3% among treated ones. Three decreasing values of immunoglobulin G were a security parameter for stopping the child’s medication in the exposed group (50/61). …”

General characteristics and statistical analysis. by Ana Gabriela Gomes Ferrari Strang (17068913)

“…Children born to untreated mothers have 6.5-times higher risk of being infected; the transmission rate among untreated mothers was 50% versus 8.3% among treated ones. Three decreasing values of immunoglobulin G were a security parameter for stopping the child’s medication in the exposed group (50/61). …”

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

“…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)

“…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)

“…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)

“…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)

“…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)

“…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)

“…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)

“…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. …”

Regulation of IL8 cytokine in <i>L</i>. <i>intracellularis</i> infected PK-15 cells. by Huan W. Yang (19746645)

Regulation of NF-κB target genes. by Huan W. Yang (19746645)

Proportion of cooperators (people choosing to join Group A) for each group size. by Valerio Capraro (451997)

“…Group size has initially a positive effect on cooperation, which increases and reaches its maximum in groups of size 15, followed by a gradual decrease. …”

Optimal screening time point for a single colonoscopy program in the US. by Viktor Zaika (18611072)

“…<p><b>(A)</b> Reduction in life years lost, CRC incidence, mortality and total costs for different time points of a single screening colonoscopy with 100% adherence. …”

Risk factors for incident anemia of chronic diseases: A cohort study by Yun-Gyoo Lee (3269550)

“…<div><p>Objective</p><p>Anemia of chronic disease (ACD) refers to hypoproliferative anemia in the context of acute or chronic activation of the immune system. There is a paucity of prospective data addressing the risk factors for ACD development. …”

DANGER1A increases neurite outgrowth in response to NGF signaling. by Nikolas Nikolaidis (68300)

“…PC12 cells depleted of endogenous D1A using siRNA have decreased neurite outgrowth. …”

The predicted artificial flux as a function of stirring sensitivity and Reynolds stress. by Moritz Holtappels (448859)

“…<b>E:</b> The artificial EC flux is plotted as a function of velocity according to <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0116564#pone.0116564.e019" target="_blank">equation 7</a> and as a function of <i>Ssen</i> (0.5–2%), <i>c∞</i> (100–300µM) and <i>z0</i> (0.1–10mm). …”

A Template-Free, Ultra-Adsorbing, High Surface Area Carbonate Nanostructure by Johan Forsgren (354724)

“…The moisture sorption of the novel nanostructure is featured by a unique set of properties including an adsorption capacity ∼50% larger than that of the hygroscopic zeolite-Y at low relative humidities and with the ability to retain more than 75% of the adsorbed water when the humidity is decreased from 95% to 5% at room temperature. …”

Balanced Dataset Distribution. by Mudhafar Jalil Jassim Ghrabat (22177655)

“…Every model was subjected to individual testing. The SMO_CNN model we developed demonstrated exceptional testing and training accuracies of 98.95% and 99.20% respectively, surpassing CNN, VGG19, and ResNet50 models. …”