Largest changes in influenza vaccine rates, Pre- vs. Post-COVID-19. by Tyler B. Nofzinger (21560244)

Subjects:

<b>Nest mass in forest tits </b><b><i>Paridae</i></b><b> </b><b>increases with elevation and decreasing body mass, promoting reproductive success</b> by Clara Wild (19246606)

“…We predicted that nest mass should increase with elevation and canopy openness, due to thermoregulation being more demanding in colder or warmer climatic conditions, and decrease with body mass, as larger species have greater thermoregulatory capabilities. …”

Cephalometric measurement points. by Lijuan Liu (136685)

(A) Auxiliary marking points to ensure complete and accurate seating of the prosthesis. by Long Li (6555)

Distribution of final population size (A) and mean change in mean MSI over time (B) over 100 simulations for each parameter set shown in Table 3 in the absence of weevils (left) an... by Alexandra M. Campbell (3284094)

Histograms of (A) distance measured in meters to nearest neighboring tree given bin widths of 2 m (<i>n</i> = 44), and (B) basal areas of all sampled trees (<i>n</i> = 58; bin widt... by Alexandra M. Campbell (3284094)

Influenza vaccine compliance, Pre- vs. Peri-COVID-19. by Tyler B. Nofzinger (21560244)

Subjects:

Influenza vaccination rates during pre-, peri-, and post-COVID-19 periods. by Tyler B. Nofzinger (21560244)

Subjects:

Influenza vaccine compliance, Pre- vs. Post-COVID-19. by Tyler B. Nofzinger (21560244)

Subjects:

Selection of soil particle sampling points. by Xueting Ma (390540)

Innovation, nightlights and a continuous measure of city size. by Saul Estrin (8629173)

Subjects:

Geographical distribution of large cities and small cities. by Saul Estrin (8629173)

Subjects:

Innovation and night light in large and small cities. by Saul Estrin (8629173)

Subjects:

Sample characteristics: Countries, cities and city innovation. by Saul Estrin (8629173)

Subjects:

Biases in larger populations. by Sander W. Keemink (21253563)

“…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …”

Sampling point (Source: by Yonggang Huang (223155)

Guidelines and policy changes for different alert levels in Gauteng. The time intervals are separated by points of inflection identified in Edholm <i>et al</i>. [10]; these points separate time periods where the rate of cumulative cases was increasing from periods when the rate of cumulative cases was decreasing [10], Fig 1].... by Folashade B. Agusto (3663010)

“…[<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0325619#pone.0325619.ref010" target="_blank">10</a>]; these points separate time periods where the rate of cumulative cases was increasing from periods when the rate of cumulative cases was decreasing [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0325619#pone.0325619.ref010" target="_blank">10</a>], Fig 1]. …”

Time course of Path Length, LFS and Velocity during postural training. by Cristina Dolciotti (16317330)

Between-group differences in 95% Area, Y Sway Amplitude and LFS during postural training. by Cristina Dolciotti (16317330)

Time course of 95% Area, X and Y Amplitude Sway during postural training. by Cristina Dolciotti (16317330)