Results 71 to 80 of about 72,164 (263)

Machine learning holographic mapping by neural network renormalization group

open access: yesPhysical Review Research, 2020
Exact holographic mapping (EHM) provides an explicit duality map between a conformal field theory (CFT) configuration and a massive field propagating on an emergent classical geometry.
Hong-Ye Hu   +3 more
doaj   +1 more source

Geodesic and contour optimization using conformal mapping [PDF]

open access: yesJournal of Global Optimization, 2016
We propose a novel optimization algorithm for continuous functions using geodesics and contours under conformal mapping.The algorithm can find multiple optima by first following a geodesic curve to a local optimum then traveling to the next search area by following a contour curve. To improve the efficiency, Newton-Raphson algorithm is also employed in
Aijun An, Xiaogong Wang, Ricky Fok
openaire   +3 more sources

CLAE: A High‐Fidelity Nanopore Sequencing Strategy for Read‐Level Viral Variant Detection and Environmental RNA Virus Discovery

open access: yesAdvanced Science, EarlyView.
High‐fidelity Nanopore sequencing offers a cost‐effective, portable path to uncovering viral dark matter in complex environments—but suffers from severe read‐length bias, low throughput, and limited accuracy. This study traces these limitations to core biochemical barriers and introduces CLAE, a foundational high‐fidelity platform that enables accurate,
Hannah Yu   +14 more
wiley   +1 more source

An Improved Boosting Learning Saliency Method for Built-Up Areas Extraction in Sentinel-2 Images

open access: yesRemote Sensing, 2018
Built-up areas extraction from satellite images is an important aspect of urban planning and land use; however, this remains a challenging task when using optical satellite images. Existing methods may be limited because of the complex background.
Zhenhui Sun, Qingyan Meng, Weifeng Zhai
doaj   +1 more source

Multiscale Cell–Cell Interactive Spatial Transcriptomics Analysis

open access: yesAdvanced Science, EarlyView.
In this study, we present the MultiScale Cell‐Cell Interactive Spatial Transcriptomics Analysis method, which unites the strengths of spatially resolved deep learning techniques with a topological representation of multi‐scale cell‐cell similarity relations.
Sean Cottrell, Guo‐Wei Wei
wiley   +1 more source

Holographic thermal entropy from geodesic bit threads

open access: yesJournal of High Energy Physics
The holographic bit threads are an insightful tool to investigate the holographic entanglement entropy and other quantities related to the bipartite entanglement in AdS/CFT.
Stefania Caggioli   +3 more
doaj   +1 more source

On global geodesic mappings of ellipsoids [PDF]

open access: yesAIP Conference Proceedings, 2012
In this paper we study geodesic mappings of $n$-dimensional surfaces of revolution. From the general theory of geodesic mappings of equidistant spaces we specialize to surfaces of revolution and apply the obtained formulas to the case of rotational ellipsoids.
openaire   +3 more sources

Properties of an affine transport equation and its holonomy

open access: yes, 2016
An affine transport equation was used recently to study properties of angular momentum and gravitational-wave memory effects in general relativity. In this paper, we investigate local properties of this transport equation in greater detail.
Nichols, David A., Vines, Justin
core   +1 more source

MARCO+ Tumor‐Associated Macrophages Impede CD8+ T Cell Immunity to Facilitate Immunotherapy Resistance in Renal Cell Carcinoma

open access: yesAdvanced Science, EarlyView.
MARCO+ TAMs dominate restrained cytotoxicity of CD8+ CTLs and ICB resistance in RCC. Mechanically, MARCO impairs MHC‐I‐mediated neoantigen cross‐presentation via the SOCS1‐JAK1‐STAT1‐NLRC5 signaling cascade in TAMs. Targeted MARCO treatment boosts macrophage antigen cross‐presentation and empowers CD8+ T cells, thereby potentiating ICB efficacy ...
Jiayuan Chen   +14 more
wiley   +1 more source

Salient Object Detection Based on Background Feature Clustering

open access: yesAdvances in Multimedia, 2017
Automatic estimation of salient object without any prior knowledge tends to greatly enhance many computer vision tasks. This paper proposes a novel bottom-up based framework for salient object detection by first modeling background and then separating ...
Kan Huang   +3 more
doaj   +1 more source

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