Economics, Equilibrium Methods, and Multi-Scale Modeling
Sign Up to like & getrecommendations! Published in 2019 at "Erkenntnis"
DOI: 10.1007/s10670-019-00113-6
Abstract: In this paper, I draw a parallel between the stability of physical systems and that of economic ones, such as the US financial system. I argue that the use of equilibrium assumptions is central to… read more here.
Keywords: scale modeling; economics equilibrium; equilibrium methods; methods multi ... See more keywords
A class of efficient time-stepping methods for multi-term time-fractional reaction-diffusion-wave equations
Sign Up to like & getrecommendations! Published in 2021 at "Applied Numerical Mathematics"
DOI: 10.1016/j.apnum.2021.02.007
Abstract: Abstract A family of novel time-stepping methods for the fractional calculus operators is presented with a shifted parameter. The truncation error with second-order accuracy is proved under the framework of the shifted convolution quadrature. To… read more here.
Keywords: time; time stepping; efficient time; methods multi ... See more keywords
A comprehensive comparison on clustering methods for multi-slice spatially resolved transcriptomics data analysis
Sign Up to like & getrecommendations! Published in 2025 at "Briefings in Bioinformatics"
DOI: 10.1101/2025.01.19.633631
Abstract: Spatial transcriptomics (ST) data, by providing spatial information, enables simultaneous analysis of gene expression distributions and their spatial patterns within tissue. Clustering or spatial domain detection represents an essential methodology for ST data, facilitating the… read more here.
Keywords: methods multi; transcriptomics data; clustering methods; comparison clustering ... See more keywords
Lightweight Detection Methods for Multi-Scale Targets in Complex Scenarios
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DOI: 10.1109/access.2025.3560664
Abstract: Detecting multi-scale objects in complex scenes is crucial for real-time applications in building safety, where accurate monitoring of safety equipment under challenging conditions is essential. In this paper, we propose LAP-YOLO (Lightweight Aggregate Perception based… read more here.
Keywords: detection; lightweight detection; methods multi; multi scale ... See more keywords
Methods for multi-omic data integration in cancer research
Sign Up to like & getrecommendations! Published in 2024 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2024.1425456
Abstract: Multi-omics data integration is a term that refers to the process of combining and analyzing data from different omic experimental sources, such as genomics, transcriptomics, methylation assays, and microRNA sequencing, among others. Such data integration… read more here.
Keywords: integration; methods multi; multi omic; research ... See more keywords