Supplementary Material for: High-sensitivity Troponin I Measurement in a Large Contemporary Cohort: Implications for Clinical Care by Esau D. (20563829)

“…Our aim was to investigate the prevalence of elevated hsTnI in a large, contemporary Canadian cohort and describe the effect of comorbidities on hsTnI concentration. …”

Data_Sheet_1_Unraveling Long-Term Flood Risk Dynamics Across the Murray-Darling Basin Using a Large-Scale Hydraulic Model and Satellite Data.PDF by Serena Ceola (402743)

“…Although needed for effective flood risk management, a comprehensive long-term analysis of all these components is not straightforward, mostly due to a lack of hydrological data, exposure information, and large computational resources required for 2-D flood model simulations at adequately high resolution over large spatial scales. …”

Table_1_Association between glucosamine use and cancer mortality: A large prospective cohort study.doc by Jian Zhou (28020)

“…</p>Conclusion<p>Habitual glucosamine use was significantly related to decreased overall cancer, kidney cancer, lung cancer, and rectum cancer mortality, based on data from the large-scale, nationwide, prospective UK Biobank cohort study.…”

Bio-Behavioral Changes Following Transition to Automated Insulin Delivery: A Large Real-Life Database Analysis by Boris P. Kovatchev (13423004)

(a) a top view of step1 of fabrication flow, (b) cross view of Fig 2(a) along cutline A, (c) cross view of Fig 2(a) along cutline B, (d) top view of step 2 of fabrication flow, (e)... by Xiaoshi Jin (15675049)

Comparison of HapMap and 1000 Genomes Reference Panels in a Large-Scale Genome-Wide Association Study by Paul S. de Vries (701679)

Linear predictive models show declining measures of autozygosity and F_ld. by Michael A. Nalls (113680)

“…These predictive models include decreasing (A) %ROH, (B) number of ROHs, (C) F_ld and the (D) average length of ROHs. …”

Distribution of Patient-centered care scores as a function of Time. by Thales Guardia de Barros (22216025)

Boxplot of Patient-centered care scores as a function of Time. by Thales Guardia de Barros (22216025)

Horizontal displacement curve of wall body, (a)The upper wall, (b)The lower wall. by Xuening Ma (17941131)

Cross-sectional area of the murine aorta linearly increases with increasing core body temperature by A. Colleen Crouch (4382188)

“…Cross-sectional area of the aorta increased significantly and linearly with temperature for all groups, but at a diminished rate for aged animals (<i>p</i> < 0.01; male and female: adult, 0.019 and 0.024 mm²/°C; aged, 0.017 and 0.011 mm²/°C). …”

Tornado diagram showing the results of a one-way sensitivity analysis conducted for the scenario without vaccination. by Albertus Constantijn Sloof (20405090)

Average self-reported physical health ratings before or during the COVID-19 pandemic among individuals who engaged during the pandemic in more than 3 (A), 4 (B), or 5 (C) positive... by Elie Mulhem (22537863)

Predictive Model for Catalytic Methane Pyrolysis by Ulrich Pototschnig (18613949)

“…Adsorption energies of intermediate molecules in the methane pyrolysis reaction correlate linearly with the adsorption energy of carbon. Moreover, the adsorption energy increases in magnitude with decreasing group number in the d-block of the periodic table. …”

OJS decreases locomotor activity and increases sleep time during the night cycle in the AOM/DSS model. by Patrice Cunningham (12914917)

Linear prediction of median log10 HIV viral loads per facility in KwaZulu-Natal province, South Africa, for the period 2018 to 2022. by Lilishia Gounder (15240167)

Required increases (upward arrows, red tiles), decreases (downward arrows, blue tiles) by 10–20% (small arrows) or more (large arrows), or no change (hyphen, beige tiles) compared to Status Quo Fs to achieve objectives of each management scenario according to each model (A-C) and combined (D). by Barbara Bauer (196680)

HMR’s distribution varies dependent on the cell type (related to Fig 5A). by Andrea Lukacs (3752956)

A different circuit showing FCD, the non-linear integral feedback loop (NLIFL), also exhibits a power law behavior. by Miri Adler (615809)

“…<p>a) The NLIFL mechanism. b) The amplitude of the response is a power law of the relative change in input signal. c) The power-law exponent increases linearly with <i>n</i>. d) The time-scales decrease faster with the fold change of the signal, , and with <i>n</i> than in the incoherent feed-forward loop case (<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003781#pcbi-1003781-g003" target="_blank">Fig. 3b</a>).…”

List of the five variants per dimension which reached the highest absolute <i>z-</i>scores in the corresponding dimension in a logistic regression with the (non-) occurrence of a v... by Barbara Blaha Pfeiler (12568824)