Results 51 to 60 of about 1,645,700 (287)

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

open access: yesMolecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur   +11 more
wiley   +1 more source

A Two‐Stage Plasma Biomarker Algorithm Reduces Amyloid PET Use and the p‐Tau217 Gray Zone

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Plasma p‐Tau217 leaves 30%–50% of patients in an indeterminate “gray zone” often requiring Aβ‐PET. We developed GRAD (Gatekeeper‐Reflex for Alzheimer's Disease), a two‐stage Aβ‐positivity prediction model to improve classification while reserving Aβ‐PET for residual uncertainty.
Harthik Parankusham   +7 more
wiley   +1 more source

A new hybrid genetic algorithm with tabu search for solving the temporal coverage problem using rotating directional sensors

open access: yesIET Communications
One of the most important problems in directional sensor networks is coverage problem. The coverage can be measured in two ways: positional or temporal.
Mahboobeh Eshaghi   +2 more
doaj   +1 more source

Real‐World Safety of Concomitant Colchicine and Statin Therapy

open access: yesArthritis Care &Research, EarlyView.
Objective This study aimed to evaluate the risk of clinically meaningful muscle‐ and liver‐related outcomes associated with concomitant colchicine–statin therapy in a real‐world setting, and to determine whether concomitant therapy increases the incidence of toxicity compared with either agent alone.
Roni Meidan   +5 more
wiley   +1 more source

Influence Maximization Based Global Structural Properties: A Multi-Armed Bandit Approach

open access: yesIEEE Access, 2019
The influence maximization problem is defined by identifying the seed set that has the most influence on other users in the network, which when selected, the cascading process reaches a large number of users.
Mohammed Alshahrani   +4 more
doaj   +1 more source

Elastic–Plastic Modeling and Experimental Characterization of Granular Jamming Actuators

open access: yesAdvanced Engineering Materials, EarlyView.
Granular jamming enables rapid switching between soft and rigid mechanical states. Here, a reduced‐order elastic‐perfectly‐plastic beam framework captures pressure‐dependent loading, unloading, residual deformation, and hysteresis in jammed beams, while matching three‐point bending experiments across materials and geometries. The framework links design
Saheli Patel   +2 more
wiley   +1 more source

Stability of Weak Rescaled Pure Greedy Algorithms

open access: yesAxioms
We study the stability of Weak Rescaled Pure Greedy Algorithms for convex optimization, WRPGA(co), in general Banach spaces. We obtain the convergence rates of WRPGA(co) with noise and errors under a weaker assumption for the modulus of smoothness of the
Wan Li, Man Lu, Peixin Ye, Wenhui Zhang
doaj   +1 more source

Convergence results on greedy algorithms for high-dimensional eigenvalue problems*

open access: yesESAIM: Proceedings and Surveys, 2014
In this paper, we present two greedy algorithms for the computation of the lowest eigenvalue (and an associated eigenvector) of a high-dimensional eigenvalue problem, which have been introduced and analyzed recently in a joint work ...
Ehrlacher Virginie
doaj   +1 more source

The statistical properties analysis of reconstruction error in greedy pursuit algorithms: Taking OMP as an example

open access: yesElectronics Letters, 2023
Greedy pursuit algorithms are widely used in sparse signal processing for their computational efficiency. However, research on the reconstruction error properties is far from comprehensive.
Lei Xiao   +3 more
doaj   +1 more source

A low-complexity evolutionary algorithm for wind farm layout optimization

open access: yesEnergy Reports, 2023
The wind farm layout determines the power generation ability, and its optimization remains challenging in terms of algorithm complexity and performance.
Xingwang Huang   +3 more
doaj   +1 more source

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