Identification of continuous-time autoregressive processes from discrete-time data by replacing the differentiation operator by an approximation is considered. A linear regression model can then be formulated.
It has also aided the search for functional materials (e.g. superhard and electride materials)27,28,29,30,31,32,33,34,35,36,37,38. However, unlike structure prediction involving continuous variables, the search for the MEP is a discrete global optimization problem for solid-to-solid phase ...
Continuous variables are presented as means and standard deviation and categorical variables as numbers and percentages. Differences in lesion characteristics between groups with an FFR >0.80 and an FFR ≤0.80 were tested using an unpaired Student t test or chi-square test, as appropriate. Receiver-...
A solution to the MSSM problem is represented by two vectors of boolean decision variables R = (R1, . . . , Rm) for the rows and C = (C1, . . . , Cn) for the columns, with Ri ∈ {0, 1} and Cj ∈ {0, 1}. When a decision variable is equal to 1, its corresponding ...
{θ , α}best = argmaxθ ,α median(intra_MIs) median(inter_MIs) (1) MI values between variables X, RPKM expression vector of gene1/lncRNA1 across 24 tissues and Y, RPKM expres- sion vector of gene2/lncRNA2 across 24 tissues, is defined in terms of their marginal Shannon entropie...
[5]. The MKAD algorithm is designed to run on heterogeneous data sets consisting of multiple attribute types including discrete and continuous. MKAD is a “multiple kernel” [2] based approach where the major advantage is the method’s ability to combine information from multiple heterogeneous ...
In DI research, conceptual frameworks are used to improve the "generalizability and interpretability of research findings" [38]. These frameworks are used to aid in understanding the success or failure of the implementation of an intervention as well as identify variables that may impact efficacy [...
machine learning technique for identifying DNA enhancer regions utilizing CIS‑regulatory element patterns Ahmad Hassan Butt1, Tamim Alkhalifah2*, Fahad Alturise2 &Yaser Daanial Khan1 Enhancers regulate gene expression, by playing a crucial role in the synthesis of RNAs and ...
V′=0.157486+0.1249074×Dwhere V′ denotes the VIIRS-like DMSP data and D denotes the original DMSP data. 3.1.3. Topography data Our topographical variables include elevation, slope, and hydrological networks. We used NASA's digital elevation model (DEM), which is the 2000 reprocessing of the...
As the multiplicative type perturbation reduces to the case-weights perturbation and individual influential observations can be identified when ni(xj)=1, it is a more appropriate scheme to apply when the variables in x are continuous in scale. However, when the variables in x are discrete and ...