Next, measure (or read) any side of the figure and do some math. Suppose we have a rectangle that is 16 in. wide and we need to reduce it by 25%, or one-quarter (1441). That means it will be 75% of the original (100% − 25% = 75%). We will use or 3:4 as our sca...
Returns thescaleof thisBigDecimal. If zero or positive, the scale is the number of digits to the right of the decimal point. If negative, the unscaled value of the number is multiplied by ten to the power of the negation of the scale. For example, a scale of-3means the unscaled value...
They are also very useful for mapping applications because the math works out nicely.However, there are problems with the Mercator projection. The Mercator projection enforces parallel lines of latitude and longitude. That means that the distance between lines defining one degree of longitude will ...
The paper unfolds the association between geometry and material behaviour, specifically the elastic properties of resin impregnated latex membranes, by means of homogenizing protocols which translate physical properties into geometrical ... Duan An,rnQian Jiaru - Digitization & Globalization: International ...
shift// operations with shift amounts greater than 31. Note that this happens// roughly when abs(double_multiplier) < 2^-31 and the present handling means// that we're effectively flushing tiny double_multiplier's to zero.// We could conceivably handle values in the range (roughly) [32,...
The fraction of phenotypic variance captured by SNPs (i.e., the linear, narrow sense heritability) of traits is traditionally estimated via means such as Restricted Maximum Likelihood estimates (REML) and using Linkage Disequilibrium Score Regression (LDSR). For continuous traits, the correlation of...
Bar and error bars of c are means ± SE (n = 1092 for each bar). The upper and lower sections of f represent the datasets after a maximum missing rate filter of 30% and the raw datasets, respectively. The solid and shadow bars of f represented the count of biallelic and ...
The gap of a single delta-tuning method is always smaller than fine-tuning, which means over-parameterization may help better memorize (overfit) training samples. Among all the delta-tuning methods, prompt-tuning tends to have the smallest generalization gap. Considering that each delta-tuning meth...
3a) resulted in nearly identical outcomes by uniform manifold approximation and projection (UMAP) and k-means clustering (Extended Data Fig. 3b). Even with larger chemical heterogeneity, our model was able to effectively recover the variations within and across cell populations (Extended Data Fig. ...
dimensionality to represent the chromatin openness at each peak in each cell. The latent features that capture the characteristics of scATAC-seq data are then visualized in the low-dimensional space witht-SNE, and used to cluster single cells with various clustering methods, e.g.,K-means. ...