Results 101 to 110 of about 462,838 (237)

Latent Diffusion Process With Mechanistic Guidance For Designing Functionally Graded Metamaterials With Perfect Connectivity

open access: yesAdvanced Science, EarlyView.
A latent diffusion‐based framework is proposed for designing functionally graded metamaterials with perfect connectivity. By integrating vector‐quantized latent representations with mechanistic guidance, the framework enables accurate inverse design toward target elastic properties.
Jongbin Yu, Dosung Lee, Namjung Kim
wiley   +1 more source

Low-Complexity Multiple-Component Turbo Decoding Aided Hybrid ARQ

open access: yes, 2011
Previous research has focused on improving the throughput of Hybrid Automatic Repeat reQuest (HARQ) schemes. However, since turbo codes have been introduced into HARQ schemes, their complexity has increased owing to the iterative Bahl, Cocke, Jelinek and
Chen, Hong   +2 more
core   +1 more source

TSTScope Unifies Single‐Cell Multi‐Omics to Identify Functional T Cell States Predictive of Immunotherapy Response

open access: yesAdvanced Science, EarlyView.
TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao   +8 more
wiley   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi   +7 more
wiley   +1 more source

Iterative two-dimensional error concealment for low-complexity wireless video uplink transmitters

open access: yes, 2012
Since joint source-channel decoding is capable of exploiting the residual redundancy in the encoded source signals for improving the attainable error resilience, it has attracted substantial attention.
Wang, Tao   +3 more
core   +1 more source

On Iterative Detection, Demodulation and Decoding for OFDM-CDM [PDF]

open access: yes, 2006
In this paper, we address iterative receiver processing for OFDM code division multiplexing (OFDM-CDM). The receiver algorithm we focus on is soft parallel interference cancellation in combination with a-priori demodulation.
Raulefs, Ronald   +3 more
core  

Biochemically Constrained Multi‐Omics Integration Reveals Protein–Metabolite Dependencies Across Diseases

open access: yesAdvanced Science, EarlyView.
ProMetNet introduces a biologically constrained deep learning framework for proteo‐metabolomic integration by embedding Reactome‐derived pathway topology into neural networks. It captures non‐linear molecular dependencies and pathway‐level metabolic reorganization, enabling interpretable discrimination.
Minghui Zhao   +6 more
wiley   +1 more source

Highly Sensitive Spatial Host‐Microbiome Transcriptomics in FFPE Tissues via Iterative Hydrogel Expansion

open access: yesAdvanced Science, EarlyView.
Ex‐spRandom is a spatial transcriptomics platform that synergizes random‐primed chemistry with iterative hydrogel expansion. By physically decrowding the dense FFPE matrix, this scalable technology shatters the traditional resolution‐sensitivity barrier.
Shunji Zhang   +7 more
wiley   +1 more source

Study of equivalent point-to-point transmission model for coded relay cooperations

open access: yesTongxin xuebao, 2012
LDPC-coded relay cooperation and its joint iterative decoding based on the bi-layer Tanner graph were investigated.The coded relay cooperation becomed an equivalent and relatively simple point-to-point transmission model by introducing the notation of ...
Qiu-xia ZHANG   +3 more
doaj   +2 more sources

A Site‐Aware Representation Learning Framework For Unified Molecular Interaction Modeling and Generative Design

open access: yesAdvanced Science, EarlyView.
MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo   +6 more
wiley   +1 more source

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