Differentially expressed genes (DEGs)^a showing the greatest fold changes from each potato tissue: 10 with greatest increase in expression and 10 with greatest decrease in expression. حسب Margaret A. Carpenter (6104180)

"…<p>Differentially expressed genes (DEGs)^a showing the greatest fold changes from each potato tissue: 10 with greatest increase in expression and 10 with greatest decrease in expression.…"

Join-point regression analysis of the statistically significant linear decrease in use of antidepressants, antipsychotics, psychostimulants and nootropic drugs, anxiolytics, sedatives and hypnotics during the observed time period. حسب Jelena Filimonovic (22305307)

Join-point regression analysis of the statistically significant linear increase in use of antidementia and antipsychotics during the observed time period. حسب Jelena Filimonovic (22305307)

The Samn-Perelli Scale is a 7-point Likert scale used to assess fatigue [42, 45]. حسب Marcel F. Hinss (14675457)

الموضوعات:

The linearly decreasing convergence factor a. حسب Junhao Wei (6816803)

Join-point regression analysis of the statistically significant linear increase in use of anxiolytics, psychostimulants and noot ropic drugs, sedatives and hypnotics, gabapentinoid... حسب Jelena Filimonovic (22305307)

Association between the sum of health behaviors and decrease in physical health from before to during the pandemic. Results are from linear model analysis adjusted for age, gender and additional covariates.... حسب Elie Mulhem (22537863)

"…Results are from linear model analysis adjusted for age, gender and additional covariates. …"

The Karolinska Sleepiness Scale (KSS) is a 9-point Likert scale, ranging from “extremely 1 = alert” to “9 = extremely sleepy–fighting sleep” [44]. حسب Marcel F. Hinss (14675457)

الموضوعات:

Multivariable Linear Regression Model of the Residents P-V Fit score^a. حسب Yaotian Fan (5917766)

الموضوعات:

Association of each health behavior and the reported decrease in psychological well-being during the pandemic between individuals who often/very often compared to rarely/never engaged in health behaviors.... حسب Elie Mulhem (22537863)

"…<p>Association of each health behavior and the reported decrease in psychological well-being during the pandemic between individuals who often/very often compared to rarely/never engaged in health behaviors. …"

Effect of each health behavior on the reported decrease in physical health during the pandemic between individuals who often/very often compared to rarely/never engaged in health behaviors.... حسب Elie Mulhem (22537863)

"…<p>Effect of each health behavior on the reported decrease in physical health during the pandemic between individuals who often/very often compared to rarely/never engaged in health behaviors. …"

The shortened version of the Edinburgh Handedness Inventory encompasses 4 items (e.g. writing) scored on a 5-point scale ranging from:” Always right; usually right; both equally; u... حسب Marcel F. Hinss (14675457)

الموضوعات:

Obstacle uniform linear motion scenarios. حسب Long Di (9977453)

"…Specifically, the proposed method deploys a sequence of virtual target points along the demonstrated trajectory to guarantee both path-following precision and goal convergence for robotic systems. …"

Linear mixed model results, fixed effects for time points, group, time points x group and univariate effects in the neck-specific exercise with internet support (NSEIT) group and t... حسب Anneli Peolsson (7867601)

Obstacle avoidance trajectories and corresponding tracking errors for obstacle uniform linear motion scenarios (for specific trajectory point data, please refer to the attachment ‘... حسب Long Di (9977453)

PAP I point mutations lead to a decrease in pYV PCN, plasmid stability, and T3SS activity. حسب Katherine Schubert (5452712)

Linear regression. حسب Myriam Aïche (22290591)

nsP4-C483Y or Q192L mutations decrease sensitivity to 4′-FlU. حسب Peiqi Yin (6533747)

Multivariable Logistic Regression Model of the Burnout^a. حسب Yaotian Fan (5917766)

الموضوعات:

The study’s flow diagram. حسب Yushan Shi (16440272)

الموضوعات: