Results 71 to 80 of about 56,958 (289)
Remote Sensing, 2021 Modeling of synthetic aperture radar (SAR) imaging distortions induced by topography is addressed and a novel radiometric calibration method is proposed in this paper.
Pasquale Imperatore
doaj +1 more source
Advanced Science, EarlyView.A new class of biohybrid spheroids is engineered through the self‐assembly of adherent cells and extracellular matrix‐mimetic hydrogel microparticles (microgels). By mimicking a snowballing effect, this approach enables scalable formation of porous, millimeter‐scale spheroids with enhanced cell viability and molecular diffusion.
Zaman Ataie +7 more
wiley +1 more source
Radar imaging mechanism of marine sand waves at very low grazing angle illumination [PDF]
, 2005 The investigations carried out between 2002-2004 during several field experiments within the Op-erational radar and optical mapping in monitoring hydrodynamic, morphodynamic and environ-mental parameters for coastal management project (OROMA) aimed to ...
Hennings, Ingo, Herbers, Dagmar
core
Dissecting the Ecological Structure of Health and Disease in the Global Gut Microbiome
Advanced Science, EarlyView.We introduce Wiredancer, a framework that identifies three continuous ecological factors of the gut microbiota. These factors exhibit distinct patterns across health and disease, jointly capturing disrupted ecological stability and offering a new perspective for precision diagnostics and therapeutic strategies.
Baoyuan Zhu +19 more
wiley +1 more source
Spatial resolution in GNSS-R under coherent scattering [PDF]
, 2020 © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new ...
Camps Carmona, Adriano José
core +2 more sources
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Advanced Science, EarlyView.Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Using a Kernel Adatron for Object Classification with RCS Data
, 2010 Rapid identification of object from radar cross section (RCS) signals is important for many space and military applications. This identification is a problem in pattern recognition which either neural networks or support vector machines should prove to ...
Byl, Marten F. +2 more
core +1 more source
Geostatistical simulation of two-dimensional fields of raindrop size distributions at the meso-¿ scale [PDF]
, 2009 The large variability of the raindrop size distribution (DSD) in space and time must be taken into account to improve remote sensing of precipitation. The ability to simulate a large number of 2-D fields of DSDs sharing the same statistical properties ...
Berne, A. +2 more
core +2 more sources
Advanced Science, EarlyView.Plastin‐2 (PLS2) is identified as a dual‐function receptor on DCs that mediates both nanoparticle uptake and immunomodulation. A nanobody‐LNP platform is engineered to integrate antigen delivery with relicensing DCs. The therapeutic strategy elicits potent anti‐tumor T cell responses and leads to significant inhibition of established tumors in vivo ...
Shugang Qin +9 more
wiley +1 more source