Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet by Soonho Kwon (1402972)

“…We found that the self-diffusion of water dramatically decreases in droplets with a diameter below 2.2 nm. …”

Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet by Soonho Kwon (1402972)

“…We found that the self-diffusion of water dramatically decreases in droplets with a diameter below 2.2 nm. …”

Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet by Soonho Kwon (1402972)

“…We found that the self-diffusion of water dramatically decreases in droplets with a diameter below 2.2 nm. …”

Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet by Soonho Kwon (1402972)

“…We found that the self-diffusion of water dramatically decreases in droplets with a diameter below 2.2 nm. …”

Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet by Soonho Kwon (1402972)

“…We found that the self-diffusion of water dramatically decreases in droplets with a diameter below 2.2 nm. …”

Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet by Soonho Kwon (1402972)

“…We found that the self-diffusion of water dramatically decreases in droplets with a diameter below 2.2 nm. …”

Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet by Soonho Kwon (1402972)

“…We found that the self-diffusion of water dramatically decreases in droplets with a diameter below 2.2 nm. …”

Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet by Soonho Kwon (1402972)

“…We found that the self-diffusion of water dramatically decreases in droplets with a diameter below 2.2 nm. …”

Recombination of Autodissociated Water Ions in a Nanoscale Pure Water Droplet by Soonho Kwon (1402972)

“…We found that the self-diffusion of water dramatically decreases in droplets with a diameter below 2.2 nm. …”

Fig 6 - by Matthew C. Kochem (18476069)

“…Plasma glucose, insulin, and glucagon were measured before, during, and after OGTTs up to 120 minutes post-prandially. We also assessed individual participants’ sweet taste responses to sucralose and their sensitivities to lactisole sweetness inhibition. …”

Fig 2 - by Matthew C. Kochem (18476069)

“…Plasma glucose, insulin, and glucagon were measured before, during, and after OGTTs up to 120 minutes post-prandially. We also assessed individual participants’ sweet taste responses to sucralose and their sensitivities to lactisole sweetness inhibition. …”

Fig 1 - by Matthew C. Kochem (18476069)

“…Plasma glucose, insulin, and glucagon were measured before, during, and after OGTTs up to 120 minutes post-prandially. We also assessed individual participants’ sweet taste responses to sucralose and their sensitivities to lactisole sweetness inhibition. …”

Participant traits. by Matthew C. Kochem (18476069)

“…Plasma glucose, insulin, and glucagon were measured before, during, and after OGTTs up to 120 minutes post-prandially. We also assessed individual participants’ sweet taste responses to sucralose and their sensitivities to lactisole sweetness inhibition. …”

Fig 4 - by Matthew C. Kochem (18476069)

“…Plasma glucose, insulin, and glucagon were measured before, during, and after OGTTs up to 120 minutes post-prandially. We also assessed individual participants’ sweet taste responses to sucralose and their sensitivities to lactisole sweetness inhibition. …”

Fig 3 - by Matthew C. Kochem (18476069)

“…Plasma glucose, insulin, and glucagon were measured before, during, and after OGTTs up to 120 minutes post-prandially. We also assessed individual participants’ sweet taste responses to sucralose and their sensitivities to lactisole sweetness inhibition. …”

Stable overexpression of PFKFB3-5 in HEK-293 and U87 cells leads to decreased cell viability and proliferation while leaving transcriptional profile of PFKFB3-1 and -11 unaltered. by Ulli Heydasch (11091062)

Metabolites with the top 5 positive and negative loadings (by absolute value) for PC1 and their respective pathway classification. by Manuel A. Cornejo (11636656)

Characterization of Five ECF Sigma Factors in the Genome of <em>Pseudomonas syringae</em> pv. syringae B728a by Poulami Basu Thakur (389600)

“…Bioinformatic analysis of the B728a genome revealed 10 ECF sigma factors. This study analyzed deletion mutants of five previously uncharacterized ECF sigma factor genes in B728a, including three FecI-type ECF sigma factors (ECF5, ECF6, and ECF7) and two ECF sigma factors placed in groups ECF11 and ECF18. …”

The decreased and increased areas of suitable potential distribution for <i>B</i>. <i>xylophilus</i> to the period of 2050s. by Hongqun Li (9454746)

Proline is toxic in cells unable to catabolize it. by Fitz Gerald S. Silao (9384713)