Reducing Dscam1 diversity decreases adult lifespan in a cluster-specific manner, also see S6 and S7 Figs. by Haiyang Dong (4783608)

Geometric manifold comparison visualization by Eloy Geenjaar (21533195)

“…Interestingly, patients appear to spend more time in three clusters, one closer to controls which shows increased visual-sensorimotor, cerebellar-subcortical, and reduced cerebellar-visual functional network connectivity (FNC), an intermediate station showing increased subcortical-sensorimotor FNC, and one that shows decreased visual-sensorimotor, decreased subcortical-sensorimotor, and increased visual-subcortical domains. …”

Hyperparameter ranges by Eloy Geenjaar (21533195)

“…Interestingly, patients appear to spend more time in three clusters, one closer to controls which shows increased visual-sensorimotor, cerebellar-subcortical, and reduced cerebellar-visual functional network connectivity (FNC), an intermediate station showing increased subcortical-sensorimotor FNC, and one that shows decreased visual-sensorimotor, decreased subcortical-sensorimotor, and increased visual-subcortical domains. …”

Convolutional vs RNN context encoder by Eloy Geenjaar (21533195)

“…Interestingly, patients appear to spend more time in three clusters, one closer to controls which shows increased visual-sensorimotor, cerebellar-subcortical, and reduced cerebellar-visual functional network connectivity (FNC), an intermediate station showing increased subcortical-sensorimotor FNC, and one that shows decreased visual-sensorimotor, decreased subcortical-sensorimotor, and increased visual-subcortical domains. …”

Threading Behavior and Dynamics of Ring-Linear Polymer Blends under Poiseuille Flow by Deyin Wang (6028850)

“…However, as rings are semiflexible (<i>K</i>_br > 0), the threading probability significantly decreases and then significantly increases as the flow field strength increases. …”

GWAS analysis using Cluster 2 data (shown in S1 Fig). by Ke Li (106849)

GWAS analysis using Cluster 3 data (shown in S1 Fig). by Ke Li (106849)

GWAS analysis using Cluster 4 data (shown in S1 Fig). by Ke Li (106849)

GWAS analysis using only Cluster 1 data (shown in S1 Fig). by Ke Li (106849)

Droplet-based microfluidics can be used to model clustered bacterial growth. by Justin Greene (306625)

Clustering analysis of total and active RNAP II at genes during the transition from G1 to G2. by Douglas Maya-Miles (7024967)

Study-related adverse events. by Benjamin R. Lewis (22279166)

“…We recorded 12 study-related, Grade 1–2 AEs and no serious AEs. In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”

Study flow chart. by Benjamin R. Lewis (22279166)

“…We recorded 12 study-related, Grade 1–2 AEs and no serious AEs. In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”

Study CONSORT diagram. by Benjamin R. Lewis (22279166)

“…We recorded 12 study-related, Grade 1–2 AEs and no serious AEs. In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”

Multiple bacterial subpopulations are present within splenic microcolonies. by Justin Greene (306625)

T3SS induction reduces gentamicin susceptibility, but S10 expression predicts survival. by Justin Greene (306625)

S10 and T3SS reporter signals do not correlate in the absence of MgOx treatment. by Justin Greene (306625)

T3SS induction slows growth, but cells can support high levels of S10 expression. by Justin Greene (306625)

16S rRNA sequence analysis of intestinal microbiota in rats. by Ye Cheng (513097)

A Locally Linear Dynamic Strategy for Manifold Learning. by Weifan Wang (4669081)

“…For 10-30% noise, where the Hebbian network employs a local linear transform, learning selectively increases signal direction alignment (blue) while simultaneously decreasing noise direction alignment (orange). …”