Results 111 to 120 of about 9,776 (287)
Blood‐based amino acid patterns measured by 19F NMR reveal hidden metabolic changes in colorectal cancer. By analyzing how these amino acids interact as a network, machine learning models identify patients at higher risk of recurrence and metastasis.
Ji‐Yeon Lee +9 more
wiley +1 more source
A Radar Cross Section Reduction Method Using the Concept of Coordinate Transformation and Isotropic Dielectric Layers [PDF]
Radar Cross Section (RCS) reduction of objects such as airplanes and ships is an important topic for radar and electronic warfare industry. Using the concept of coordinate transformation, one can reduce the RCS by creating a transformation medium around ...
ÖZGÜN, ÖZLEM, Pay, Canberk
core
An infrared energy harvester based on radar cross-section reduction of chiral metasurfaces through phase cancellation approach. [PDF]
Amin M, Siddiqui O, Almoneef TS.
europepmc +1 more source
ABSTRACT To confront extreme space environments, a combination of inorganic and organic coatings can provide a pathway for offering highly durable radiation resistance and anti‐friction simultaneously. Herein, a strong interfacial 3D hydrogen‐bonding network is designed to create robust hexagonal boron nitride (h‐BN) based polymer coatings with ...
Zhuoyi Li +7 more
wiley +1 more source
Uncertainty‐Aware Deep Ensembles for Robust and Reliable Chemical Sensor Arrays
A reliability‐aware electronic nose is developed using photothermally anchored metal‐catalyst decorated metal oxide nanofiber sensor arrays combined with deep ensemble learning. Diverse catalytic nanofiber channels generate gas‐specific response patterns, enabling selective identification and quantification of sulfur‐containing gases.
Sungwoo Eo +5 more
wiley +1 more source
CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang +11 more
wiley +1 more source
Radar cross section (RCS) simulation for wind turbines [PDF]
Wind-turbine power provides energy-independence and greenhouse-gas reduction benefits, but if wind turbines are built near military and commercial radar and communication installations, they can cause degradation in the systems performance.
Ton, Cuong
core
Multimetal Prussian blue analogues (PBAs) are converted by low‐temperature Ar annealing into a cavity/CN‐vacancy architecture that triggers in situ Ni exsolution, creating dense Ni‐PBA interfacial motifs. These motifs optimize water dissociation and H* adsorption in alkaline media, delivering markedly accelerated HER kinetics and long‐term stability ...
Shiqi Wang +5 more
wiley +1 more source
Continuous wet‐spinning of PANI with TeNWs yields a multifunctional microfiber. Oriented TeNWs impose chain alignment and enhance π‐electron delocalization, boosting the Seebeck coefficient to 59.9 µV K−1 for passive temperature sensing (1 K detection limit), while achieving high pH sensitivity (59.25 mV pH−1) and rapid NH3 response (0.96 s).
Dongmei Xie +10 more
wiley +1 more source
Radar Cross Section Reduction Techniques using Metamaterials
In this paper, we have discussed and summarized the techniques of radar cross section reduction (RCSR). RCSR has been prompted due to the evolution of military technology. The paper reviews the basic concepts and characteristics of metamaterials, as these are the most favorable development that impacts defense industry products and stealth technology ...
openaire +1 more source

