Fighting and Penalty Minutes Associated With Long-term Mortality Among National Hockey League Players, 1967 to 2022
Sign Up to like & getrecommendations! Published in 2023 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2023.11308
Abstract: Key Points Question Do National Hockey League (NHL) enforcers with more career fights or penalty minutes differ in mortality rates or cause of death when compared with control NHL players? Findings This matched cohort study… read more here.
Keywords: penalty minutes; penalty; 1967 2022; hockey league ... See more keywords
Is evil rewarded with evil? The market penalty effect of corporate environmentally irresponsible events
Sign Up to like & getrecommendations! Published in 2019 at "Business Strategy and The Environment"
DOI: 10.1002/bse.2403
Abstract: The negative response of the capital market to environmentally irresponsible events is an important governance mechanism that motivates enterprises to assume environmental responsibility. Based on the theory of effective markets and organizational legitimacy, this paper… read more here.
Keywords: market; effect; penalty; environmentally irresponsible ... See more keywords
Improved superresolution microscopy imaging by sparse deconvolution with an interframe penalty
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Chemometrics"
DOI: 10.1002/cem.2847
Abstract: Penalized regression with a combination of sparseness and an interframe penalty is explored for image deconvolution in wide‐field single‐molecule fluorescence microscopy. The aim is to reconstruct superresolution images, which can be achieved by averaging the… read more here.
Keywords: microscopy; penalty; superresolution; sparse deconvolution ... See more keywords
A criterion for automatic image deconvolution with L0‐norm regularization
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Chemometrics"
DOI: 10.1002/cem.3227
Abstract: Automatic penalty adjustment in sparse deconvolution with penalized least squares is required for improved reliability and broader applicability. In sparse deconvolution with an L0‐norm penalty, the latent signal is by nature discontinuous, and the magnitudes… read more here.
Keywords: criterion automatic; deconvolution norm; penalty; deconvolution ... See more keywords
Water usage and energy penalty of different hybrid cooling system configurations for a natural gas combined cycle power plant—Effect of carbon capture unit integration
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Energy Research"
DOI: 10.1002/er.4694
Abstract: Electric power generation from thermoelectric power plants is associated with a negative impact on water availability, referenced as the water‐energy nexus, which is aggravated by climate change. In the present study, the effect of four… read more here.
Keywords: cooling system; water; hybrid cooling; penalty ... See more keywords
Bayesian Robust Principal Component Analysis with Adaptive Singular Value Penalty
Sign Up to like & getrecommendations! Published in 2020 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-020-01358-1
Abstract: Robust principal component analysis (RPCA) has recently seen ubiquitous activity for dimensionality reduction in image processing, visualization and pattern recognition. Conventional RPCA methods model the low-rank component as regularizing each singular value equally. However, in… read more here.
Keywords: low rank; penalty; singular value; component ... See more keywords
Improving the multiobjective evolutionary algorithm based on decomposition with new penalty schemes
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-016-2076-3
Abstract: It has been increasingly reported that the multiobjective optimization evolutionary algorithm based on decomposition (MOEA/D) is promising for handling multiobjective optimization problems (MOPs). MOEA/D employs scalarizing functions to convert an MOP into a number of… read more here.
Keywords: evolutionary algorithm; penalty schemes; new penalty; penalty ... See more keywords
Irregularization accelerates iterative regularization
Sign Up to like & getrecommendations! Published in 2018 at "Calcolo"
DOI: 10.1007/s10092-018-0260-9
Abstract: When iterative methods are employed as regularizers of inverse problems, a main issue is the trade-off between smoothing effects and computation time, related to the convergence rate of iterations. Very often, faster methods obtain less… read more here.
Keywords: irregularization; iterative regularization; penalty; accelerates iterative ... See more keywords
Iteration penalty method for the incompressible Navier-Stokes equations with variable density based on the artificial compressible method
Sign Up to like & getrecommendations! Published in 2020 at "Advances in Computational Mathematics"
DOI: 10.1007/s10444-020-09757-3
Abstract: Based on the artificial compressible method, an iteration penalty semi-discrete scheme is proposed for the numerical simulations of the incompressible Navier-Stokes equations with variable density. Compared with the classical penalty scheme, the main feature is… read more here.
Keywords: based artificial; iteration penalty; artificial compressible; method ... See more keywords
Ambient residual penalty approximation of partial differential equations on embedded submanifolds
Sign Up to like & getrecommendations! Published in 2020 at "Advances in Computational Mathematics"
DOI: 10.1007/s10444-020-09802-1
Abstract: In this paper, we present a novel approach to the approximate solution of elliptic partial differential equations on compact submanifolds of ℝ d $\mathbb {R}^{d}$ , particularly compact surfaces and the surface equation Δ M… read more here.
Keywords: partial differential; penalty approximation; penalty; residual penalty ... See more keywords
Proximal alternating penalty algorithms for nonsmooth constrained convex optimization
Sign Up to like & getrecommendations! Published in 2019 at "Computational Optimization and Applications"
DOI: 10.1007/s10589-018-0033-z
Abstract: We develop two new proximal alternating penalty algorithms to solve a wide range class of constrained convex optimization problems. Our approach mainly relies on a novel combination of the classical quadratic penalty, alternating minimization, Nesterov’s… read more here.
Keywords: proximal alternating; alternating penalty; constrained convex; penalty ... See more keywords