Chromatin accessibility analysis of perinatal Vps34-deficient Tregs. by Erienne G. Norton (9612079)

“…AP-1-related transcription factors with predicted decreased activity are labeled. See also <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003074#pbio.3003074.s015" target="_blank">S7 Table</a>. …”

Vps34 orchestrates transcriptional and epigenetic remodeling events corresponding to terminal eTreg differentiation during perinatal life. by Erienne G. Norton (9612079)

“…AP-1-related transcription factors with predicted decreased activity are labeled. See also <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3003074#pbio.3003074.s016" target="_blank">S8 Table</a>. …”

Vps34 supports Treg maintenance in lymphoid and non-lymphoid tissues. by Erienne G. Norton (9612079)

“…Two-tailed Student <i>t</i> test (<b>A</b>–<b>D</b>, <b>F</b>–<b>I</b>) or Benjamini–Hochberg test (<b>E</b>); NS, not significant. …”

Parameters of Tissue Doppler Echocardiography. by Mina Farshidgohar (20308230)

“…</p><p>Results</p><p>Out of 50 patients, two showed a decrease in left ventricular ejection fraction (LVEF) below the normal range (<55%) one month post-treatment, along with significant increases in Troponin I levels. …”

Vps34 orchestrates Treg function in vivo. by Erienne G. Norton (9612079)

Loss of Vps34 reduces Treg suppressive function and is associated with the development of type-I-dominant inflammatory disease. by Erienne G. Norton (9612079)

Atg14 does not contribute to terminal eTreg generation during perinatal life. by Erienne G. Norton (9612079)

Long-term trajectories of ABG parameters. by Kazuma Nagata (3400058)

O-ag length and composition impacts complement activation by <i>Salmonella</i> nontyphoidal and enteric fever serovars. by Fermin E. Guerra (6084545)

Distribution of study areas. by Jie Zhang (64655)

“…(main findings) The results show the following: (1) the primary term of government innovation preferences has a positive effect on the ecological resilience of resource-based cities, and the secondary term has a negative effect, with a decreasing marginal effect. …”

Descriptive statistics of variables. by Jie Zhang (64655)

“…(main findings) The results show the following: (1) the primary term of government innovation preferences has a positive effect on the ecological resilience of resource-based cities, and the secondary term has a negative effect, with a decreasing marginal effect. …”

Code. by Jie Zhang (64655)

“…(main findings) The results show the following: (1) the primary term of government innovation preferences has a positive effect on the ecological resilience of resource-based cities, and the secondary term has a negative effect, with a decreasing marginal effect. …”

Schematic of the conclusions. by Jie Zhang (64655)

“…(main findings) The results show the following: (1) the primary term of government innovation preferences has a positive effect on the ecological resilience of resource-based cities, and the secondary term has a negative effect, with a decreasing marginal effect. …”

Robustness test. by Jie Zhang (64655)

“…(main findings) The results show the following: (1) the primary term of government innovation preferences has a positive effect on the ecological resilience of resource-based cities, and the secondary term has a negative effect, with a decreasing marginal effect. …”

Data. by Jie Zhang (64655)

“…(main findings) The results show the following: (1) the primary term of government innovation preferences has a positive effect on the ecological resilience of resource-based cities, and the secondary term has a negative effect, with a decreasing marginal effect. …”

Reduction of L O-ag production and antigenic shift to O2-antigen in by Fermin E. Guerra (6084545)

“…<p><b><i>S.</i> Paratyphi A decreases IgM binding. (</b>A) and (B) Restored <i>S.…”

Contents of PIO Program. by Jun-Seo Lim (21161776)

“…The difference between the two groups was statistically significant (<i>t</i> = 3.94, <i>p</i><.001). Depression decreased -0.7±3.48 in the experimental group, from 5.9±4.74 before intervention to 5.2±4.65 after intervention, and decreased by -0.2±3.42, from 6.5±4.69 before intervention to 6.4±4.08 after intervention, in the control group, but the difference between the two groups was not statistically significant (<i>z</i> = -0.59, <i>p</i> =.557). …”

Demographic characteristics of participants. by Jun-Seo Lim (21161776)

“…The difference between the two groups was statistically significant (<i>t</i> = 3.94, <i>p</i><.001). Depression decreased -0.7±3.48 in the experimental group, from 5.9±4.74 before intervention to 5.2±4.65 after intervention, and decreased by -0.2±3.42, from 6.5±4.69 before intervention to 6.4±4.08 after intervention, in the control group, but the difference between the two groups was not statistically significant (<i>z</i> = -0.59, <i>p</i> =.557). …”

Social robot PIO (version 3.5). by Jun-Seo Lim (21161776)

“…The difference between the two groups was statistically significant (<i>t</i> = 3.94, <i>p</i><.001). Depression decreased -0.7±3.48 in the experimental group, from 5.9±4.74 before intervention to 5.2±4.65 after intervention, and decreased by -0.2±3.42, from 6.5±4.69 before intervention to 6.4±4.08 after intervention, in the control group, but the difference between the two groups was not statistically significant (<i>z</i> = -0.59, <i>p</i> =.557). …”

12 session programs of social robot PIO. by Jun-Seo Lim (21161776)

“…The difference between the two groups was statistically significant (<i>t</i> = 3.94, <i>p</i><.001). Depression decreased -0.7±3.48 in the experimental group, from 5.9±4.74 before intervention to 5.2±4.65 after intervention, and decreased by -0.2±3.42, from 6.5±4.69 before intervention to 6.4±4.08 after intervention, in the control group, but the difference between the two groups was not statistically significant (<i>z</i> = -0.59, <i>p</i> =.557). …”