Results 41 to 50 of about 809,814 (296)

From energy provision to protein synthesis: Tunnelling nanotubes as mediators of intercellular metabolic cooperation in cancer

FEBS Open Bio, EarlyView.
The cytoskeleton‐mediated transport of mitochondria via tunnelling nanotubes restores respiration, increases ATP production, rescues cells from apoptosis, activates the AKT/mTOR signalling pathway, promotes cell migration and invasiveness, contributes to cancer progression and treatment resistance.
Stanislava Martínková, Jan Trnka
wiley   +1 more source

A Weighted Image-Point-Measurement Method of Laser Altimetry Points for Improving Laser-Altimetry-Data-Assisted Positioning Accuracy of Small-Satellite Images

Remote Sensing
For small-satellite imagery, traditional image points derived from the direct back-projection of laser altimetry points onto the imagery often exhibit deviations of tens of pixels or more, owing to the relatively limited attitude and orbit determination ...
Wenping Song, Ducheng Wu, Luyao Wang, Miao Li, Jie Han, Caitong Cai, Yang Wu, Fen Tang, Lei Wu   +8 more
doaj   +1 more source

Delivery of DNA‐encoded vaccines and proteins in mice using cutaneous suction‐mediated transfection

FEBS Open Bio, EarlyView.
Cutaneous suction‐mediated transfection in mice for delivery of DNA‐encoded vaccines and proteins. A critical limitation of DNA vaccines and other therapeutics is transfection in vivo to produce the encoded antigens or therapeutic proteins. Cutaneous suction‐based methods have demonstrated effectiveness in many animal models and have been successfully ...
Emran O. Lallow, Isabel Brandtjen, Yaxin Mo, Melissa Gulley, Louis Osorio, Sagar Kudchodkar, Nandita C. Jhumur, Christine C. Roberts, Lisa K. Denzin, David I. Shreiber, Biju Parekkadan, Hao Lin, Joel N. Maslow   +12 more
wiley   +1 more source

OBJECT-BASED GREENHOUSE CLASSIFICATION FROM HIGH RESOLUTION SATELLITE IMAGERY: A CASE STUDY ANTALYA-TURKEY [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
Pixel-based classification method is widely used with the purpose of detecting land use and land cover with remote sensing technology. Recently, object-based classification methods have begun to be used as well as pixel-based classification method on ...
M. Coslu, M. Coslu, N. K. Sonmez, N. K. Sonmez, D. Koc-San, D. Koc-San   +5 more
doaj   +1 more source

MOGAD Is the Most Common Cause of Isolated Optic Neuritis in Children

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives The study aimed to characterize the clinical features, etiologies, and outcomes of isolated, first‐time pediatric ON in the post‐MOG‐IgG era. Methods This was a single‐center retrospective cohort study at Texas Children's Hospital of patients diagnosed with first‐time ON between 2018–2024, with follow‐up data collected through 2025.
Chaitanya Aduru, Akansha Chandrasekar, Kyla Blasingame, Jonathan Rosen, Jesse M. Levine, Karla Salazar, Madhuri Chilakapati, Rod Foroozan, Victoria Hardwick, Jonathan M. Yarimi, Nikita Shukla, Timothy E. Lotze, Kristen S. Fisher, Alexander J. Sandweiss   +13 more
wiley   +1 more source

Fusing Semantic Features with Gaussian Splatting for Enhanced Satellite Image Surface Reconstruction

Remote Sensing
Reconstructing 3D surfaces from electro-optical satellite imagery is an important capability for generating high-quality digital elevation models at scale.
Albert Reed, Timothy Nagle-McNaughton, Shiloh Elliott, Jesse Mapel   +3 more
doaj   +1 more source

User Validation of VIIRS Satellite Imagery

Remote Sensing, 2015
Visible/Infrared Imaging Radiometer Suite (VIIRS) Imagery from the Suomi National Polar-orbiting Partnership (S-NPP) satellite is the finest spatial resolution (375 m) multi-spectral imagery of any operational meteorological satellite to date.
Don Hillger, Tom Kopp, Curtis Seaman, Steven Miller, Dan Lindsey, Eric Stevens, Jeremy Solbrig, William Straka III, Melissa Kreller, Arunas Kuciauskas, Amanda Terborg   +10 more
doaj   +1 more source

Transferability of the Deep Learning Mask R-CNN Model for Automated Mapping of Ice-Wedge Polygons in High-Resolution Satellite and UAV Images

Remote Sensing, 2020
State-of-the-art deep learning technology has been successfully applied to relatively small selected areas of very high spatial resolution (0.15 and 0.25 m) optical aerial imagery acquired by a fixed-wing aircraft to automatically characterize ice-wedge ...
Weixing Zhang, Anna K. Liljedahl, Mikhail Kanevskiy, Howard E. Epstein, Benjamin M. Jones, M. Torre Jorgenson, Kelcy Kent   +6 more
doaj   +1 more source

Gray whale detection in satellite imagery using deep learning

Remote Sensing in Ecology and Conservation, 2023
The combination of very high resolution (VHR) satellite remote sensing imagery and deep learning via convolutional neural networks provides opportunities to improve global whale population surveys through increasing efficiency and spatial coverage.
Katherine M. Green, Mala K. Virdee, Hannah C. Cubaynes, Angelica I. Aviles‐Rivero, Peter T. Fretwell, Patrick C. Gray, David W. Johnston, Carola‐Bibiane Schönlieb, Leigh G. Torres, Jennifer A. Jackson   +9 more
doaj   +1 more source

Subclinical Optic Nerve Involvement in Radiologically Isolated Syndrome: Multimodal Detection and Diagnostic Impact

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We aimed to determine the frequency of subclinical optic nerve (ON) lesions using MRI, optical coherence tomography (OCT), and visual evoked potentials (VEP) in radiologically isolated syndrome (RIS), and to assess their diagnostic and prognostic significance.
Christine Lebrun‐Frenay, Cassandre Landes‐Château, Lydiane Mondot, Mikael Cohen, Margherita Popolo, Jérôme de Seze, Bertrand Bourre, Françoise Durand‐Dubief, Olivier Casez, Orhun H. Kantarci, Aksel Siva, Stephanie Baillif, Darin T. Okuda, Letizia Leocani   +13 more
wiley   +1 more source