The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...

In the context of artificial intelligence (AI), "noise" refers to irrelevant, random, or erroneous data that can interfere with the learning process of AI models, reducing their accuracy and ...

The cost accounting method, which assesses a company's production costs, comes in a few broad styles and cost allocation practices. However, cost accounting comes with advantages and disadvantages ...

Abstract: Current event-based video reconstruction methods, limited to the spatial domain ... Specifically, we construct a variational model and propose three regularization terms: a brightness ...

Therefore, we propose a double-weighted spatial low-rank and superpixel-guided adaptive graph Laplacian regularization for SU (DWSLR-SGL) method. DWSLR-SGL first imposes low-rank constraints on the ...

A recent study presents an efficient crystal-structure search method for this task, utilizing symmetry and graph theory.

Nature Research Intelligence Topics enable transformational understanding and discovery in research by categorising any document into meaningful, accessible topics. Read this blog to understand ...

She has 15+ years of experience as a financial writer and technical analyst. Companies use the equity method of accounting to report their investments in other entities where they have significant ...