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)

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

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)

“…Negative values indicate a reduction in psychological well-being decline while positive values indicate an increase in physical health decline.…”

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)

“…Negative values indicate a reduction in psychological well-being decline while positive values indicate an increase in physical health decline.…”

Table 1_Effect of decreased suspended sediment content on chlorophyll-a in Dongting Lake, China.docx by Le Zhang (88249)

“…The findings provide valuable scientific insights for large-scale lake water quality monitoring and offer critical reference points for future water quality management strategies.…”

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

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)

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

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, sedati... 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)

Units of non-point source agricultural pollution. by Cangyu Li (10312677)

“…The main source of TN emissions has shifted from livestock to farmland straw; (2) the total pollutant load exhibited a distinct spatial distribution pattern. Specifically, the southern part of the study area had the highest pollutant loads, followed, respectively, by the eastern, northern, and western parts; (3) the decoupling relationship between ANPSP emissions and agricultural output values showed fluctuating changes, dominated by weak and strong decoupling status, with gradual improvement. (4) Henan Province was divided into three primary non-point source pollution control zones using cluster analysis, namely high, moderate, and low-risk zones. …”

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)

Non-linear load’s individual harmonic currents as a percentage of the fundamental value for TS3. by Abdallah Aldosary (21370131)

Baseline patient characteristics. by Oscar F. C. van den Bosch (22184246)

“…In contrast, s-ketamine appeared to produce a smaller decrease in VTV (ß = −0.062, 95% CI: −0.118 to −0.003) with VRR remaining unaffected (ß = −0.036, 95% CI: −0.092 to 0.019). …”

Modeling the relationship between cancer level in hemolymph and MarBTN in tank eDNA. by Rachael M. Giersch (22331947)

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

Does a correlation exist between delayed vaccination and a decreased vaccine confidence? by Virginia Reverte (9046494)

“…Online questionnaire was sent to their parents, followed by a telephone questionnaire for non-responders. Regarding MMR first dose, a significant association was found between delay and birth order and intellectual/motor delay of children. …”

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)

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

“…The Figure reveals two patterns: 1) the maximum level of innovation is higher in large cities (2.53) than in small cities (2.02); 2) among large cities in <b>a</b>, innovation levels in general decrease with nightlight density. …”

<b>Supporting data for manuscript</b> "<b>Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins</b>" by Kira Shaw (18796168)

“…<p dir="ltr">The CSV file 'Eyreetal_DrainingVein_SourceData' contains the averaged time series traces and extracted metrics from individual experiments used across Figures 1-5 in the manuscript "Voluntary locomotion induces an early and remote hemodynamic decrease in the large cerebral veins". The following acronyms included in the CSV file are defined as follows: Hbt is total hemoglobin, Art is artery region, DV is draining vein region, WV is whisker vein region, SEM is standard error mean, TS is time series, max peak is maximum peak, min peak is minima, AUC is area under the curve, WT is wild-type, AD is Alzheimer's disease, ATH is atherosclerosis and MIX is mixed AD/atherosclerosis. …”