Derive the IS-LM model by considering the expectation into the model. You need to explain which factors affect each of the curve, and how the changes of these factors will shift the corresponding curv In regression analysis, the explanatory variables: A. are always...
inverse sequencecountably directedinverse limitcompactThe main objective of this paper is to develop a quantitative framework to identify the main sources of variation in patient flow. Since 1983, under Health Care Financing Administration (HCFA)'s syste...
By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with varying standards of data protection. See our privacy policy for more information on the use of your perso...
Lung adenocarcinoma (LUAD) is the predominant histological subtype of lung cancer and the leading cause of cancer-related mortality. Identifying effective drug targets is crucial for advancing LUAD treatment strategies. This study employed proteome-wide
We implicate ∼250 genes via coding variation or associated expression, demonstrating significant enrichment in neural tissues. Rare variants near the imprinted genes MKRN3 and DLK1 were identified, exhibiting large effects when paternally inherited. Mendelian randomization analyses suggest causal inverse ...
To improve statistical power through meta-analysis across different datasets at the individual CpG, we used bacon-adjusted cohort-specific results and conducted the inverse-variance weighted random-effects model, which was implemented in the ‘metagen’ function in the meta package (version 4.18.0)....
The sklearn.preprocessing.PowerTransformer12 function was applied to measured data. As the transformed values showed an almost normal distribution, the mean ± standard deviation (SD) × 2 were set for reference ranges of the transformed data. The inverse_transform13 method was used to ...
The genes with expression ≥ 0.1 TPM in ≥ 20% of samples were obtained and their values were normalized across samples by the inverse normal transformation. To control for population effects, the first two PCs of genotype were included in eQTL analyses. We estimated latent covariates ...
Uniaxial tensile tests were carried out to obtain the variation of the material properties from one aluminium extrusion to another as well as over the cross-section and along the extrusion. Tests were performed in tension and compression to evaluate the effect of loading, and the anisotropy was ...
Although donors exhibited interindividual variation, smoking status did not appear to have a considerable impact on the distribution of CD4 T cells (Figure 2D). Only one cluster, CD4T-17, was higher in smokers than in nonsmokers (p < 0.05; Figure 2C). This cluster was relatively low in ...