Results 31 to 40 of about 1,783 (184)

Generalised additive multiscale wavelet models constructed using particle swarm optimisation and mutual information for spatio-temporal evolutionary system representation [PDF]

open access: yes, 2007
A new class of generalised additive multiscale wavelet models (GAMWMs) is introduced for high dimensional spatio-temporal evolutionary (STE) system identification.
Billings, S.A., Wei, H.L., Zhao, Y.
core  

Field-theory for reaction-diffusion processes with hard-core particles

open access: yes, 2000
We show how to build up a systematic bosonic field-theory for a general reaction-diffusion process involving hard-core particles in arbitrary dimension. We criticize a recent approach proposed by Park, Kim and Park (Phys. Rev. E 62 (2000)).
van Wijland, F.
core   +2 more sources

Single‐Cell Transcriptomics Reveals FLS2‐Dependent Hypoxia Signaling and ERF13‐Mediated Transcription During flg22‐Triggered Immunity

open access: yesAdvanced Science, EarlyView.
This study employs sc‐RNA sequencing, genetics, and phenotyping to systematically map the cell‐type‐specific immune responses triggered by flg22. It reveals FLS2‐dependent transcriptional reprogramming in epidermal and mesophyll cells, and uncovers crosstalk between immune and hypoxia signaling pathways.
Yaping Zhou   +17 more
wiley   +1 more source

A new class of multiscale lattice cell (MLC) models for spatio-temporal evolutionary image representation [PDF]

open access: yes, 2007
Spatio-temporal evolutionary (STE) images are a class of complex dynamical systems that evolve over both space and time. With increased interest in the investigation of nonlinear complex phenomena, especially spatio-temporal behaviour governed by ...
Billings, S.A., Wei, H.L., Zhao, Y.
core  

Complexity, parallel computation and statistical physics

open access: yes, 2005
The intuition that a long history is required for the emergence of complexity in natural systems is formalized using the notion of depth. The depth of a system is defined in terms of the number of parallel computational steps needed to simulate it. Depth
Machta, J.
core   +2 more sources

DMAP1 Deficiency Suppresses Lung Cancer Progression by Destabilizing Replication Fork and Activating IFN Signaling‐Mediated Anti‐tumor Immunity

open access: yesAdvanced Science, EarlyView.
Lung cancer remains the leading cause of cancer‐related death. We investigated the role of the epigenetic regulator DMAP1 in NSCLC and found that its loss induces replication stress and DNA damage. This in turn activates type I IFN signaling via the cGAS–STING pathway and transcriptional ISG de‐repression, enhancing anti‐tumor immune responses ...
Kan Huang   +10 more
wiley   +1 more source

Intrinsically universal one-dimensional quantum cellular automata in two flavours

open access: yes, 2008
We give a one-dimensional quantum cellular automaton (QCA) capable of simulating all others. By this we mean that the initial configuration and the local transition rule of any one-dimensional QCA can be encoded within the initial configuration of the ...
Arrighi, Pablo   +2 more
core   +1 more source

cuteHap: Haplotype‐Aware Structural Variant Detection in Phased Long‐Read Sequencing Data

open access: yesAdvanced Science, EarlyView.
cuteHap is a haplotype‐aware structural variant detection method designed for phased long‐read sequencing. By employing self‐adaptive clustering and credibility‐prioritized beam search algorithms, cuteHap generates accurate haplotype‐resolved calls and outperforms state‐of‐the‐art tools.
Shuqi Cao   +7 more
wiley   +1 more source

GloPath: An Entity‐Centric Foundation Model for Glomerular Lesion Assessment and Clinicopathological Insights

open access: yesAdvanced Science, EarlyView.
An entity‐centric foundation model, GloPath, is introduced for comprehensive glomerular lesion assessment from routine renal biopsy images. Trained on over one million glomeruli, the framework enables robust lesion recognition, grading, and cross modality diag nosis, while uncovering large‐scale clinicopathological associations.
Qiming He   +28 more
wiley   +1 more source

Lattice dynamical wavelet neural networks implemented using particle swarm optimisation for spatio-temporal system identification [PDF]

open access: yes, 2007
Starting from the basic concept of coupled map lattices, a new family of adaptive wavelet neural networks, called lattice dynamical wavelet neural networks (LDWNN), is introduced for spatiotemporal system identification, by combining an efficient wavelet
Billings, S.A.   +3 more
core  

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