Scaling of overall health burden with yearly expenditure growth. by Margherita Molaro (17803989)

Selected metabolic traits significantly associated with FFMI^a in a linear regression model adjusted for age and sex in the KORA S4 sample. by Carolin Jourdan (155791)

“…a<p>Fat Free Mass Index;</p>b<p>direction of the association (positive or negative);</p>c<p>for multiple testing adjusted p-value;</p>d<p>adjusted R² of the linear model;</p>e<p>p-gain, fold decrease in the p-value of association for the pair of metabolites, compared to the lowest of two p-values for the single metabolites;</p>f<p>confirmed in KORA F4, for * significance and direction; # confirmed for xLeu in F4, n.a., metabolite was not available in F4; AAs, amino acids; Σ aromatic amino acids, sum of tyrosine, phenylalanine, and tryptophan; Σ BCAAs, sum of valine, isoleucine, and leucine; Σ glucogenic amino acids, sum of alanine, glycine, and serine.…”

BMT decreased weight of different organs. by Saeed Katiraei (3956147)

“…<p>(A) BMT decreased the weight of liver, thymus, spleen and the pancreas both on LFD and HFD. …”

Scatter plots with superimposed linear regression lines correlating logarithm of T1 relaxation time in the basal ganglia with age. by Sylvain Eminian (5394746)

HBx decreases IRS1 expression. by KyeongJin Kim (366271)

Linear trajectories of IL-6. by Lucio Manenti (4503532)

“…Data values are indicated by circles the diameter of which is proportional to the inverse probability of treatment weight based on propensity score which was used in the analysis for comparison between treatment groups. The linear decreasing trend was statistically significant (P<0.001).…”

Includes a file with the results on step parameters. by Sanne Ettema (18786312)

List of selected metabolites that associate with diabetes at q-values <0.05 using log-scaled metabolite concentrations and assuming a linear model; %change is the increase or decrease of the mean in the diabetes group with respect to the control group; eta² is the proportion of the total variance that can be explained by the factor “diabetes” in the linear model; N is the number of valid data points that entered the analysis; the platform on which the corresponding metabolite was measured is indicated by the first letter of the provider: B = Biocrates, C = Chenomx, M = Metabolon. by Karsten Suhre (67967)

“…<p>List of selected metabolites that associate with diabetes at q-values <0.05 using log-scaled metabolite concentrations and assuming a linear model; %change is the increase or decrease of the mean in the diabetes group with respect to the control group; eta² is the proportion of the total variance that can be explained by the factor “diabetes” in the linear model; N is the number of valid data points that entered the analysis; the platform on which the corresponding metabolite was measured is indicated by the first letter of the provider: B = Biocrates, C = Chenomx, M = Metabolon.…”

Demonstrated contrast of non-linear behavior for high, non-physiologically relevant forces at 4000 pN-8000 pN vs. linear behavior for relevant forces at 800pN and below. by Ali Madani (4217290)

Conditional stabilization of β-catenin decreases frequency of Tbr2-expressing cells. by Christopher A. Mutch (243132)

“…This analysis also resulted in a markedly decreased Tbr2+ intermediate progenitor population in cortices (<b>F</b>) when compared to NesCre- control. …”

Mechanics that yield pressure compensating behavior and a linear increase in the total loss coefficient. by Pulkit Shamshery (3911029)

Morphologies of colonies in a linear grid under structured illumination obtained for different values of . by Shakti N. Menon (8787581)

“…Thus, <i>p</i>_photo decreases linearly towards the West, as shown in the bar below each row. …”

Linear fit parameters of OQ_EGG and OQ_GAW. by Jonas Kirsch (20642910)

Utilizing an Ishikawa diagram for comprehensive root cause analysis encourages a broader exploration of potential causes beyond linear thinking by visually organizing and categoriz... by Mohammad Bakhtiari (11838264)

S1 File - by Nicolas M. Philipp (13272198)

“…Study results indicated that the sample as a whole merely experienced fatigue-induced decreases in jump height from pre-repeat sprint ability protocol (pre-RSA) within the CMJ compared to two minutes post-repeat sprint ability protocol (post-RSA₁) and 15 minutes post-repeat sprint ability protocol (post-RSA₂), while jump height within the DJ was only significantly different from pre-RSA at post-RSA₁. …”

Countermovement jump force-time metric definitions and classifications. by Nicolas M. Philipp (13272198)

Descriptive statistics for CMJ and DJ force-time metrics across the three time-points. by Nicolas M. Philipp (13272198)

Descriptive statistics for CMJ and DJ force-time metrics across the three time-points and by RSA-classification. by Nicolas M. Philipp (13272198)

Raincloud plots with median, quartile, density and individual data points for CV%’s of the DJ metrics across the three time-points analyzed. by Nicolas M. Philipp (13272198)

Boxplots with data distribution, mean, median, and first and third quartiles, visualizing changes in all CMJ and DJ metrics across the three time-points analyzed. by Nicolas M. Philipp (13272198)