Results 61 to 70 of about 9,663 (287)
Liu et al. define a systems‐level interactome of fibroadipogenic progenitor (FAP)‐mediated signaling in skeletal muscle by integrating single‐cell transcriptomics with FAP depletion‐based perturbation analysis. Functional interrogation using a conditioned media bioassay links predicted signaling to multicellular outcomes, establishing a framework to ...
Xingyu Liu +13 more
wiley +1 more source
Dissecting the Ecological Structure of Health and Disease in the Global Gut Microbiome
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
Active radar cross section reduction : Theory and applications
This book discusses the active and passive radar cross section (RCS) estimation and techniques to examine the low observable aerospace platforms. It begins with the fundamentals of RCS, followed by the dielectric, magnetic and metamaterials parameters of
Jha, RM, Hema, Singh
core
The pholidota‐inspired electronic skin is successfully constructed, originally realized four‐state reversible switching of terahertz‐wave reflection, absorption, transmission, and secondary reflection. In response to external demands, it issues deformation instructions, verifies the deformation state after the equipment executes the action, and thus ...
Shangjing Li +4 more
wiley +1 more source
Radar cross section reduction of microstrip patches
The radar cross section (RCS) reduction of microstrip patch antennas for low-observable platforms is considered, with emphasis on the application of lossy superstrates.
Davidson D.B., Wilsen C.B.
core
Spaceborne Bi- and Multistatic SAR: Potential and Challenges
Bi- and multistatic synthetic aperture radar (SAR) operates with distinct transmit and receive antennas that are mounted on separate platforms. Such a spatial separation has several operational advantages, which will increase the capability, reliability ...
Moreira, Alberto, Krieger, Gerhard
core +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
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
A substantial number of wind energy projects have been stalled or abandoned in the United States of America (US) due to concerns over the effects of wind turbines on radar installations.
McHenry, M.P., Whale, J., Auld, T.
core
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
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
Detecting Weak Targets in a Speckled Distributed Scene by SAR Reconfiguration
In this paper a discussion on the difference between point-like targets and distributed scene in SAR images is presented starting from basic radar equations.
Rolf Scheiber +3 more
core +1 more source

