Results 141 to 150 of about 10,846,082 (297)
Going viral − Virus‐targeting nanobodies for research, diagnostics and therapy
FEBS Letters, EarlyView.The increasing prevalence of viral diseases represents a major threat for global human health. Nanobodies, small binding fragments derived from camelid heavy‐chain antibodies, offer versatile tools for viral research, diagnostics, and antiviral therapy.
Domenic Ebert, Ulrich Rothbauer
wiley +1 more source
Signal detection as the first line of defence in tourism crisis management [PDF]
, 2013 The vulnerability of the tourism industry to a range of crises has attracted many scholars to investigate the crisis strategies and practices employed by destinations and tourism organizations mainly with regards to crisis preparedness, containment and ...
Levent Altinay +5 more
core +1 more source
Unlocking the potential of cell‐permeable nanobodies for intracellular applications
FEBS Letters, EarlyView.This review outlines current strategies for delivery of nanobodies into cells and highlights recent examples of functional applications. By addressing and manipulating intracellular targets, these molecules hold great potential for treating cancer, respiratory diseases and neurological disorders, making this a vibrant area of research in the biomedical
Mariona Gené‐Verdés +2 more
wiley +1 more source
Sparse Signal Recovery for Direction-of-Arrival Estimation Based on Source Signal Subspace
Journal of Applied Mathematics, 2014 After establishing the sparse representation of the source signal subspace, we propose a new method to estimate the direction of arrival (DOA) by solving an ℓ1-norm minimization for sparse signal recovery of the source powers.
Bo Lin, Jiying Liu, Meihua Xie, Jubo Zhu
doaj +1 more source
Variational Bayesian Sparse Signal Recovery With LSM Prior
IEEE Access, 2017 This paper presents a new sparse signal recovery algorithm using variational Bayesian inference based on the Laplace approximation. The sparse signal is modeled as the Laplacian scale mixture (LSM) prior.
Shuanghui Zhang +3 more
doaj +1 more source
Accelerated Structured Alternating Projections for Robust Spectrally Sparse Signal Recovery
IEEE Transactions on Signal Processing, 2019 Consider a spectrally sparse signal $\boldsymbol{x}$ that consists of $r$ complex sinusoids with or without damping. We study the robust recovery problem for the spectrally sparse signal under the fully observed setting, which is about recovering ...
Han-Qin Cai +3 more
semanticscholar +1 more source
Molecular Oncology, EarlyView.Pair‐wise comparison of the CellSearch and FETCH enrichment technologies for circulating tumor cells (CTCs) from metastatic breast, prostate, and small cell lung cancer patients shows an increased capture of CTCs using FETCH enrichment. The clinical implementation of circulating tumor cells (CTCs) as a predictive tool for therapy efficacy in the ...
Michiel Stevens +6 more
wiley +1 more source
Quantized Approach to Damped Transversal Mechanical Waves
Quantum ReportsIn information transfer, the dissipation of a signal is of crucial importance. The feasibility of reconstructing the distorted signal depends on the related permanent loss.
Ferenc Márkus, Katalin Gambár
doaj +1 more source
Robust signal recovery in Hadamard spaces
Journal of Multivariate Analysis26 pages, 5 ...
Köstenberger, Georg, Stark, Thomas
openaire +3 more sources
Signal recovery from random measurements via extended orthogonal matching pursuit
, 2015 Orthogonal Matching Pursuit (OMP) and Basis Pursuit (BP) are two well-known recovery algorithms in compressed sensing. To recover a d-dimensional m-sparse signal with high probability, OMP needs O (mln d) number of measurements, whereas BP needs only O ...
Sahoo, Sujit Kumar, Makur, Anamitra
core +1 more source