Results 141 to 150 of about 183,434 (340)
Biomechanics‐Driven 3D Architecture Inference from Histology Using CellSqueeze3D
CellSqueeze3D reconstructs 3D cellular architecture from standard 2D histology images using biomechanical constraints and optimization. Validated on clinical datasets, it enables accurate tissue phenotyping, predicts gene mutations, and reveals significant correlations between nuclear‐cytoplasmic ratio entropy and tumor progression.
Yan Kong, Hui Lu
wiley +1 more source
Concatenated Convolution-Polar codes over Rayleigh Channels degraded as Erasure Channels
Mohammed Usman
openalex +1 more source
Implementation Of Decoders for LDPC Block Codes and LDPC Convolutional Codes Based on GPUs [PDF]
Yue Zhao, Francis C. M. Lau
openalex +1 more source
High‐Resolution Multispectral Photovoltaic Imagers from Visible to Short‐Wave Infrared
We demonstrate a monolithic quad‐spectral imager that seamlessly integrates visible and short‐wave infrared detection on a single chip. Through direct photopatterning of an all‐polymer bulk heterojunction and colloidal quantum dots, the device achieves high‐resolution (640 × 512) imaging across 350–2400 nm, enabling multispectral capture for ...
Wanqing Li +12 more
wiley +1 more source
In this paper, the performance of various channel coding schemes is investigated in pulse-based ultra-wideband(UWB) communication systems for applications in short-range indoor environments.
Robert H. Morelos-Zaragoza
doaj
SAGE is a unified framework for spatial domain identification in spatial transcriptomics that jointly models tissue architecture and gene programs. Topic‐driven gene selection (NMF plus classifier‐based scoring) highlights spatially informative genes, while dual‐view graph embedding fuses local expression and non‐local functional relations.
Yi He +5 more
wiley +1 more source
Convolutional Codes Search Based on Minimal Trellis Complexity [PDF]
Bartolomeu F. Uchôa-Filho +3 more
openalex +1 more source
Generalized weights of convolutional codes [PDF]
Elisa Gorla, Flavio Salizzoni
openalex +1 more source
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang +12 more
wiley +1 more source

