Multiple linear regressions for the predictors of the 24 character strengths and 6 virtues between the two groups. by Ghina Ghazeeri (766076)

Linearity coefficients of calibration curves for all six compounds (acetamiprid, azoxystrobin, estrone, estriol, progesterone, and testosterone). by Ekramy Halawa (11785086)

Mood and reward. by Vasileios Mantas (16949352)

Subjects:

Effect sizes of nominally significant gene-set based tests in the DeCOI_EUR cohort. by Axel Schmidt (652713)

Subjects:

Linear regression between PCDD/F TEQ and ∑PCDD/F in different study areas. by Matti Viluksela (321291)

Linear regression between PCB TEQ and PCDD/F TEQ in different study areas. by Matti Viluksela (321291)

Prediction of cataract disease burden from 2022 to 2030 based on a Bayesian-age-period-cohort-model. by Lixia Lin (478155)

(A) Shape of the osteotomies during the 3-step MIPS drilling procedure. by Marsel Ganeyev (21453399)

Subjects:

Schematic for preparation steps of BRA and recycled asphalt. by Ying Fang (147352)

Schematic representation of the sequential steps in the analytical process. by Khalifa M. Al-Kindi (3719854)

Relative burden of diseases in Paraguay: DALYs. by Liz Paola Noguera Zayas (11636860)

Relative burden of diseases in Paraguay: ALEs. by Liz Paola Noguera Zayas (11636860)

One-step and multi-step growth curves each mutant and SVA-WT. by Hai-Fan Zhao (15990862)

Data Sheet 1_The changing burden of gout in adults aged 70 and above based on the global burden of disease 2019.pdf by Yang Yang (45629)

Measurement of tissue diameters during the 7 processing steps in the tissue clearing procedure. by R. C. M. Vulders (11846314)

Comparison of diffusion simulation using the implicit and explicit schemes of the graph diffusion equation: the implicit scheme time step was set to 30 seconds, while the explicit... by Mouad Klai (20818364)

Datasheet3_Global burden of myocarditis and cardiomyopathy in children and prediction for 2035 based on the global burden of disease study 2019.csv by Hongjun Ba (12704864)

“…It was urgent to update the global incidence and mortality of childhood myocarditis and cardiomyopathy, and to predict the incidence rate of 2035 by the Global Burden of Disease database.</p>Methods<p>The Global Burden of Disease study data from 1990 to 2019 in 204 countries and territories were used to determine: global incidence and mortality rates of childhood myocarditis and cardiomyopathy from 0 to 19 by five age groups; relationship between sociodemographic index (SDI) and incidence and mortality rates by age group; and, based on an age-period-cohort model, the projected incidence of childhood myocarditis and cardiomyopathy for 2035.…”

Datasheet1_Global burden of myocarditis and cardiomyopathy in children and prediction for 2035 based on the global burden of disease study 2019.pdf by Hongjun Ba (12704864)

“…It was urgent to update the global incidence and mortality of childhood myocarditis and cardiomyopathy, and to predict the incidence rate of 2035 by the Global Burden of Disease database.</p>Methods<p>The Global Burden of Disease study data from 1990 to 2019 in 204 countries and territories were used to determine: global incidence and mortality rates of childhood myocarditis and cardiomyopathy from 0 to 19 by five age groups; relationship between sociodemographic index (SDI) and incidence and mortality rates by age group; and, based on an age-period-cohort model, the projected incidence of childhood myocarditis and cardiomyopathy for 2035.…”

Datasheet4_Global burden of myocarditis and cardiomyopathy in children and prediction for 2035 based on the global burden of disease study 2019.pdf by Hongjun Ba (12704864)

“…It was urgent to update the global incidence and mortality of childhood myocarditis and cardiomyopathy, and to predict the incidence rate of 2035 by the Global Burden of Disease database.</p>Methods<p>The Global Burden of Disease study data from 1990 to 2019 in 204 countries and territories were used to determine: global incidence and mortality rates of childhood myocarditis and cardiomyopathy from 0 to 19 by five age groups; relationship between sociodemographic index (SDI) and incidence and mortality rates by age group; and, based on an age-period-cohort model, the projected incidence of childhood myocarditis and cardiomyopathy for 2035.…”

Datasheet2_Global burden of myocarditis and cardiomyopathy in children and prediction for 2035 based on the global burden of disease study 2019.csv by Hongjun Ba (12704864)

“…It was urgent to update the global incidence and mortality of childhood myocarditis and cardiomyopathy, and to predict the incidence rate of 2035 by the Global Burden of Disease database.</p>Methods<p>The Global Burden of Disease study data from 1990 to 2019 in 204 countries and territories were used to determine: global incidence and mortality rates of childhood myocarditis and cardiomyopathy from 0 to 19 by five age groups; relationship between sociodemographic index (SDI) and incidence and mortality rates by age group; and, based on an age-period-cohort model, the projected incidence of childhood myocarditis and cardiomyopathy for 2035.…”