Results 101 to 110 of about 2,523,034 (280)
Advanced Healthcare Materials, EarlyView.Engineered red blood cell‐derived extracellular vesicles (eRBCEVs) are synthesized via controlled microfluidic assembly from native RBC lipids, enabling tunable encapsulation of proteins, nucleic acids, nanoparticles, and viral vectors. The platform demonstrates reproducible nanoscale architecture, preserved membrane composition, and functional cargo ...
Chiranth K. Nagaraj +23 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.A folic acid (FA)‐conjugated 2‐deoxyglucose dendrimer selectively targets FRβ+ macrophages in endometriotic lesions, enabling precise intracellular delivery of niclosamide. This nonhormonal nanomedicine enhances drug solubility, provides controlled intracellular release, suppresses lesion growth, reduces inflammation and pain, and establishes FRβ ...
Anubhav Dhull +11 more
wiley +1 more source
An Evolutionary Algorithm for the Estimation of Threshold Vector Error Correction Models [PDF]
We develop an evolutionary algorithm to estimate Threshold Vector Error Correction models (TVECM) with more than two cointegrated variables. Since disregarding a threshold in cointegration models renders standard approaches to the estimation of the ...
Makram El-Shagi
core
Optical Detection of Cellular Signals at Material Interfaces
Advanced Healthcare Materials, EarlyView.Emerging functional materials are transforming optical detection of cellular signals. This review highlights optical techniques that exploit the unique optical properties of diverse materials to detect and quantify cellular electrical, chemical, and mechanical signals, and discusses key opportunities and challenges.
Xuchen Ren +5 more
wiley +1 more source
Robust estimation of the vector autoregressive model by a least trimmed squares procedure. [PDF]
The vector autoregressive model is very popular for modeling multiple time series. Estimation of its parameters is typically done by a least squares procedure.
Croux, Christophe, Joossens, Kristel
core
, 1975 Meeting: DEVSIS Steering Committee, 3d Session, 28-30 July 1975, Genève, CHFinal report of the third session of the Steering Committee concerned with the establishment of DEVSIS. Discusses progress of the Study Team set up to conduct a feasibility study,
DEVSIS Steering Committee
core +1 more source
Robust adaptive beamforming via estimating steering vector based on semidefinite relaxation
, 2010 Most of the known robust adaptive beamforming techniques can be unified under one framework. This is to use minimum variance distortionless response principle for beam-forming vector computation in tandem with sample covariance matrix estimation and ...
Sergiy A. Vorobyov +2 more
core +1 more source
Evidence for Itinerant Ferromagnetic Flat Bands Producing Large Transverse Responses
Advanced Materials, EarlyView.Itinerant ferromagnetic flat bands are demonstrated in GdCo5 with a high Curie temperature of 940K, a stacked honeycomb–kagome lattice, through angle‐resolved photoemission spectroscopy and magneto‐thermoelectric measurements. These topological flat bands generate large Berry curvaturte, producing gigantic anomalous Nernst effect with record‐high ...
Susumu Minami +15 more
wiley +1 more source
Remote SensingIn this paper, a lightweight deep neural network (DNN) for direction of arrival (DOA) estimation is proposed, of which the input vector is designed to remove data redundancy as well as remaining DOA information.
Aifei Liu +3 more
doaj +1 more source