Results 81 to 90 of about 185,046 (290)
Iterative Deep Learning for Road Topology Extraction [PDF]
This paper tackles the task of estimating the topology of road networks from aerial images. Building on top of a global model that performs a dense semantical classification of the pixels of the image, we design a Convolutional Neural Network (CNN) that predicts the local connectivity among the central pixel of an input patch and its border points.
Carles Ventura +4 more
openaire +2 more sources
This study explores the feasibility of expressing the antitumoral protein Amblyomin‐X through a suicide gene therapy approach and investigates its intracellular fate after gene delivery. Although the gene is efficiently expressed, melanoma cells rapidly degrade the Amblyomin‐X protein via proteasome activity.
Victor Dal Posolo Cinel +4 more
wiley +1 more source
YIPFα1A expression is regulated by multilayered molecular mechanisms
YIPFα1A, a five‐pass Golgi protein, is regulated at multiple layers. (1) Rare‐codon enrichment drives translation‐coupled mRNA decay. (2) A proximal 3′‐UTR element stabilizes mRNA. (3) A distal 3′‐UTR element included by alternate poly(A) site usage represses translation, which can be overridden by the proximal 3′‐UTR element.
Tokio Takaji +2 more
wiley +1 more source
Scan Line Based Road Marking Extraction from Mobile LiDAR Point Clouds
Mobile Mapping Technology (MMT) is one of the most important 3D spatial data acquisition technologies. The state-of-the-art mobile mapping systems, equipped with laser scanners and named Mobile LiDAR Scanning (MLS) systems, have been widely used in a ...
Li Yan +5 more
doaj +1 more source
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová +2 more
wiley +1 more source
Automatic Road Extraction from Mobile Laser Scanning Data
—Extraction of road surface and boundary is essential for autonomous vehicle navigation, road monitoring and important scene structures extraction. Mobile laser scanning (MLS) technology as a new information acquiring manner can quickly scan the whole ...
Hanyun Wang +7 more
core +1 more source
Evaluating the involvement of autolysosomes in the nuclear translocation of fluorescent proteins
Endogenously expressed fluorescent proteins can be degraded by autophagy and transported to cell nuclei via the nuclear pore complex. But in some cell lines, for example, HeLa cells which are positive for immunoreactivity of a receptor ligand, such as UCN I, in cell nuclei, fusion of autolysosome with the nuclear envelope is involved in the nuclear ...
Keiichi Ikeda
wiley +1 more source
Road traffic island extraction from high resolution aerial imagery using active contours
Traffic islands are important features of mapped road networks in topographic databases. The modelling of these, however, is generally not explicit in most approaches to road extraction from aerial imagery.
Ravanbakhsh, M, Awrangjeb, M, Fraser, CS
core
As a crucial prerequisite for intelligent transportation and urban digitalization, the importance of road extraction is evident. In recent years, the rapid development of remote sensing technology and deep learning has made road extraction from remote ...
Hengfei Zhan, Yunpeng Wang
doaj +1 more source
IGFBP4 knockdown (KD) impairs preadipocyte proliferation and is associated with IGF1R protein downregulation and attenuated AKT phosphorylation. The mechanisms by which IGFBP4 KD influences the IGF1R/AKT signaling pathway involve newly synthesized proteins and lysosomal degradation pathways. Created in BioRender.
Yujia Guo +6 more
wiley +1 more source

