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

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. by Jelena Filimonovic (22305307)

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

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

Join-point regression analysis of the statistically significant linear increase in use of anxiolytics, psychostimulants and noot ropic drugs, sedatives and hypnotics, gabapentinoid... by 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.... by Elie Mulhem (22537863)

Subjects:

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

The injectable contraceptives depot medroxyprogesterone acetate and norethisterone enanthate substantially and differentially decrease testosterone and sex hormone binding globulin... by Chanel Avenant (409756)

“…Both contraceptives substantially decreased, from D0 to 25W, the total testosterone [DMPA-IM D0 0.560, 25W 0.423 nmol/L, -24.3% (p < 0.0001); NET-EN D0 0.551, 25W 0.253 nmol/L, -54.1%, (p < 0.0001)], SHBG [DMPA-IM D0 45.0, 25W 32.7 nmol/L, -29.8% (p < 0.0001); NET-EN D0 50.2, 25W 17.6 nmol/L, -65.1% (p < 0.0001)], and calculated free testosterone levels [DMPA-IM D0 6.87, 25W 5.38 pmol/L, -17.2% (p = 0.0371); NET-EN D0 6.00, 25W 3.70, -40.0% (p < 0.0001)]. …”

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

Subjects:

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. Results are predicted means and 95% confidence intervals from linear model analysis adjusted for age, gender, worked in patient care, had school aged children, near high-risk relatives and in high-risk group. Negative values indicate a reduction in psychological well-being decline while positive values indicate an increase in physical health decline. by Elie Mulhem (22537863)

Subjects:

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. Results are predicted means and 95% confidence intervals from linear model analysis adjusted for age, gender, worked in patient care, had school aged children, near high-risk relatives and in high-risk group. Negative values indicate a reduction in psychological well-being decline while positive values indicate an increase in physical health decline. by Elie Mulhem (22537863)

Subjects:

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... by Marcel F. Hinss (14675457)

Obstacle uniform linear motion scenarios. by 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... by 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 ‘... by Long Di (9977453)

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)