Comparison of blood glucose levels between NPH and premixed insulin regimens. by Ashenafi Kibret Sendekie (12646960)

Subjects:

Events O, A and B for the three time delay quantities. by Thomas Ward (688068)

All data points from Fig 2. by Sara Hijazi (21656615)

All data points from Fig 5. by Sara Hijazi (21656615)

All data points from Fig 8. by Sara Hijazi (21656615)

All data points from Fig 3. by Sara Hijazi (21656615)

All data points from Fig 1. by Sara Hijazi (21656615)

All data points from Fig 4. by Sara Hijazi (21656615)

All data points from Fig 9. by Sara Hijazi (21656615)

All data points from Fig 7. by Sara Hijazi (21656615)

All data points from Fig 6. by Sara Hijazi (21656615)

Stable isotope biplots of end-members (colored points) faceted by coastscape and overlayed consumers (gray points). by Nathan D. McTigue (10706460)

The basic events of fault tree and their symbols. by Mostafa Mirzaei Aliabadi (11060636)

Subjects:

Adverse event summary. by Natalia Teleshova (553333)

Subjects:

Table indicating whether a risk factor showed a significant association with complicated grief for any time point in the study. by Emma A. M. Sanderson (12225310)

Heat map of hierarchical clustering analysis based on the significantly changed miRNA expression between BrS patients and controls. by Yoshihiro Ikeuchi (12646774)

Schematic diagram of the changes in the significance of LSM factors in each prediction region based on the GWR-PSO-SVM coupled model. by Xianyu Yu (8562045)

“…<p>Schematic diagram of the changes in the significance of LSM factors in each prediction region based on the GWR-PSO-SVM coupled model.…”

Scatter plots of significantly changed AS events from genes that are involved in neural development in the <i>sf3b1-H698</i> mutants. by Bei Zhang (428038)

Global 16S metagenomics profiling. by Francesco Favero (236209)

Image 2_Sediment exposure decreases diversity in the surface mucus layer microbiome of Porites lobata at Honoliʻi, Hawaiʻi.jpeg by Joseph W. P. Nakoa (21796214)

“…Microbial community structure was characterized using 16S rRNA gene sequencing, at three time points, before, during, and after the sedimentation event, to identify changes in microbial composition and diversity.</p>Results<p>Sedimentation caused a significant decline in microbial diversity and shifted community composition, with the most pronounced changes observed post-sedimentation. …”