Consolidation of training-induced changes in unipedal stance: 95% Area, Y Sway Amplitude and LFS. by Cristina Dolciotti (16317330)

Consolidation of training-induced changes in unipedal stance: Path Length, X Sway Amplitude and Velocity. by Cristina Dolciotti (16317330)

Flow diagram. by Cristina Dolciotti (16317330)

Correlations between unipedal and bipedal stance parameters recorded at the beginning of the training and of the control session. by Cristina Dolciotti (16317330)

Mean ± SD values of unipedal stance parameters evaluated at the different time points of the postural training session. by Cristina Dolciotti (16317330)

Mean ± SD of the different parameters relative to bipedal stance on soft support with the eyes open recorded in the Chewing and Hand Grip groups. by Cristina Dolciotti (16317330)

Relation between training-related changes in unipedal and bipedal stance. by Cristina Dolciotti (16317330)

Relation of the changes in Y Sway Amplitude and LFS induced by postural training with those in 95% Area. by Cristina Dolciotti (16317330)

Results for the asymmetric relationship between military expenditures and DOD energy consumption. by Ryan P. Thombs (9138968)

Coefficient plot of short-run effects. by Ryan P. Thombs (9138968)

Seven forecast scenarios. by Ryan P. Thombs (9138968)

“…<div><p>The U.S. military is a significant contributor to the climate crisis and other sustainability concerns. …”

Annual Difference in Energy Consumption Relative to Historical Median Change by 2032. by Ryan P. Thombs (9138968)

Coefficient plot of long-run effects. by Ryan P. Thombs (9138968)

Results for the asymmetric relationship between military expenditures and DOD energy consumption. by Ryan P. Thombs (9138968)

Time series of military expenditures and DOD energy consumption. by Ryan P. Thombs (9138968)

Forecast for each scenario, 2023-2032. by Ryan P. Thombs (9138968)

“…<div><p>The U.S. military is a significant contributor to the climate crisis and other sustainability concerns. …”

Characteristics of census tracts that are projected to have high (groups: 250-399 and 400+) and low (groups: 50-99 and 100-249) MHC utilization for COVID-19 vaccination before Marc... by Fatih Gezer (21485468)

Analysis of variance results (mean sum of squares and significance) for the effect of soil types, crop species, and diuron doses on plant and their interactions on crop growth resp... by Win Win Pyone (20396432)

Expression of RBM-26 is disrupted by P80L and L13V missense mutations. by Tamjid A. Chowdhury (14149846)

Metabolite concentrations and statistics for data displayed in Fig 4. Statistical significance was determined using a Brown-Forsythe and Welch’s ANOVA. by Zachary T. Hying (21512605)