253 research outputs found
On space-time quasiconcave solutions of the heat equation
In this paper we first obtain a constant rank theorem for the second
fundamental form of the space-time level sets of a space-time quasiconcave
solution of the heat equation. Utilizing this constant rank theorem, we can
obtain some strictly convexity results of the spatial and space-time level sets
of the space-time quasiconcave solution of the heat equation in a convex ring.
To explain our ideas and for completeness, we also review the constant rank
theorem technique for the space-time Hessian of space-time convex solution of
heat equation and for the second fundamental form of the convex level sets for
harmonic function
Aspects of higher-point functions in BCFT
We study three-point correlation functions of scalar operators in conformal
field theories with boundaries and interfaces. We focus on two cases where
there are one bulk and two boundary operators (B), or two
bulk and one boundary operators (BB). We perform a detailed analysis
of the conformal blocks in different OPE channels. In particular, we obtain the
bulk channel conformal blocks of the BB three-point functions for
arbitrary exchanged spins in a series expansion with respect to the radial
coordinates. We also study examples of such three-point functions in the
simplest holographic dual where the space contains a brane filling
an subspace. Such a setup arises in top-down models with probe branes
and is also relevant for the functional approach to boundary and interface CFT
correlators. We systematically study the Witten diagrams in this setup both in
position space and in Mellin space. We also discuss in detail how to decompose
these Witten diagrams into conformal blocks.Comment: v1: 69 pages, 10 figures, 1 Mathematica notebook; v2: published
versio
Defect two-point functions in 6d (2,0) theories
We consider correlation functions in 6d theories of two
-BPS operators inserted away from a -BPS surface
defect. In the large central charge limit the leading connected contribution
corresponds to sums of tree-level Witten diagram in AdSS in the
presence of an AdS defect. We show that these correlators can be uniquely
determined by imposing only superconformal symmetry and consistency conditions,
eschewing the details of the complicated effective Lagrangian. We explicitly
compute all such two-point functions. The result exhibits remarkable hidden
simplicity.Comment: 7 pages, 1 figure, 1 table, 1 ancillary Mathematica noteboo
Generative artificial intelligence-enabled dynamic detection of nicotine-related circuits
The identification of addiction-related circuits is critical for explaining
addiction processes and developing addiction treatments. And models of
functional addiction circuits developed from functional imaging are an
effective tool for discovering and verifying addiction circuits. However,
analyzing functional imaging data of addiction and detecting functional
addiction circuits still have challenges. We have developed a data-driven and
end-to-end generative artificial intelligence(AI) framework to address these
difficulties. The framework integrates dynamic brain network modeling and novel
network architecture networks architecture, including temporal graph
Transformer and contrastive learning modules. A complete workflow is formed by
our generative AI framework: the functional imaging data, from neurobiological
experiments, and computational modeling, to end-to-end neural networks, is
transformed into dynamic nicotine addiction-related circuits. It enables the
detection of addiction-related brain circuits with dynamic properties and
reveals the underlying mechanisms of addiction
Stromal microenvironment processes unveiled by biological component analysis of gene expression in xenograft tumor models
<p>Abstract</p> <p>Background</p> <p>Mouse xenograft models, in which human cancer cells are implanted in immune-suppressed mice, have been popular for studying the mechanisms of novel therapeutic targets, tumor progression and metastasis. We hypothesized that we could exploit the interspecies genetic differences in these experiments. Our purpose is to elucidate stromal microenvironment signals from probes on human arrays unintentionally cross-hybridizing with mouse homologous genes in xenograft tumor models.</p> <p>Results</p> <p>By identifying cross-species hybridizing probes from sequence alignment and cross-species hybridization experiment for the human whole-genome arrays, deregulated stromal genes can be identified and then their biological significance were predicted from enrichment studies. Comparing these results with those found by the laser capture microdissection of stromal cells from tumor specimens resulted in the discovery of significantly enriched stromal biological processes.</p> <p>Conclusions</p> <p>Using this method, in addition to their primary endpoints, researchers can leverage xenograft experiments to better characterize the tumor microenvironment without additional costs. The Xhyb probes and R script are available at <url>http://www.lussierlab.org/publications/Stroma</url></p
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