Results 91 to 100 of about 1,669,292 (291)

Recovery-informed Theory: Situating the Subjective in the Science of Substance Use Disorder Recovery [PDF]

, 2019
As recovery from substance use disorder becomes more than a mere quantifiable outcome, there exists a need to discuss and propose the underlying theoretical constructs that ultimately describe and identify the science of recovery.
Brown, Austin M, Ashford, Robert D
core   +1 more source

New AI‐Assisted Approach for Expanding the Solution Space: Application to Lattice Structure Design

Advanced Engineering Materials, EarlyView.
This work introduces an innovative framework for designing structured materials by ex panding the design space through reparameterization of qualitative variables into continuous structural descriptors. Combined with machine‐learning‐based prediction and multi‐objective optimization, the approach enables the discovery of novel lattice architectures ...
G. H. Gahimbare, Y. Beideler, D. Chune, R. De Guio, T. Roland, H. Chibane   +5 more
wiley   +1 more source

Universal discretization and sparse recovery

Journal of Approximation Theory
This excellent paper provides error bounds on approximations that are in the first place based on least-squares approximations. Least-squares approximations in the form of best approximations are basically defined by orthogonality of the error function to the space of approximations.
Feng Dai, Vladimir N. Temlyakov
openaire   +2 more sources

Sparse recovery for Earth Mover Distance [PDF]

2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2010
We initiate the study of sparse recovery problems under the Earth-Mover Distance (EMD). Specifically, we design a distribution over m × n matrices A, for m « n, such that for any x, given Ax, we can recover a k-sparse approximation to x under the EMD distance.
Gupta, Rishi V., Indyk, Piotr, Price, Eric C.   +2 more
openaire   +3 more sources

Recovery capital pathways : modelling the components of recovery wellbeing. [PDF]

, 2017
In recent years, there has been recognition that recovery is a journey that involves the growth of recovery capital. Thus, recovery capital has become a commonly used term in addiction treatment and research yet its operationalization and measurement has
David Best, Lehman, John, Best, David, Edwards, Michael, Ivan Cano, John Lehman, Cano, Ivan, Michael Edwards   +7 more
core   +1 more source

Materials‐Driven Additive Manufacturing for Electrical Machines: Qualification‐Oriented Design Beyond Geometric Freedom

Advanced Engineering Materials, EarlyView.
This perspective reframes additive manufacturing for electrical machines as a qualification‐limited materials and architecture design problem. It links process–structure–property–performance relationships to magnetic, conducting, dielectric, and thermal property windows, highlighting where AM can enable segmented magnetic circuits, permanent magnet ...
Dénes Fodor, Loránd Szabó
wiley   +1 more source

Fusogenic RNA Nanomodules for Fusion‐Mediated and Multiplexed siRNA Delivery

Advanced Functional Materials, EarlyView.
A fusogenic lipid‐layered RNA nanomodules (L‐CRAMs) enable high‐capacity and long‐lasting siRNA delivery through membrane fusion. These nanomodules carry exceptionally large siRNA payloads, avoid conventional endosomal uptake, and release multiple functional siRNAs through Dicer‐mediated processing.
Sunghyun Moon, Iksoo Jang, Taehyeon Kim, Nayoung Yoon, Kyuha Yum, Jong Bum Lee   +5 more
wiley   +1 more source

Recovery ... reporting overview; Connecticut recovery; CT recovery ... progress

, 2011
Updated quarterly; Began in 2009.; Title from home page last modified 10/29/2009 (viewed Oct. 29, 2009).; At head of title: State of Connecticut.; "On October 1, state agencies that have received Recovery Act funds began reporting to the federal ...

core   +3 more sources

An Efficient Sparse Recovery STAP Algorithm for Airborne Bistatic Radars Based on Atomic Selection under the Bayesian Framework

Remote Sensing
The traditional sparse recovery (SR) space-time adaptive processing (STAP) algorithms are greatly affected by grid mismatch, leading to poor performance in airborne bistatic radar clutter suppression.
Kun Liu, Tong Wang, Weijun Huang
doaj   +1 more source

Efficient Sparse Recovery and Demixing Using Nonconvex Regularization

IEEE Access, 2019
Sparse demixing aims to separate signals that are sparse in some general dictionary, which has wide applications in signal and image processing, such as in super-resolution, image inpainting, robust sparse recovery, source separation, interference ...
Junhui Mei, Juntong Xi
doaj   +1 more source