Towards Effective Models for Optical Passive Star Based Lightwave Networks

1998 ◽  
pp. 209-233
Author(s):  
Afonso Ferreira
Keyword(s):  
Lightwave Networks ◽  
Effective Models

Decolonising the health and well-being of Aboriginal men in Australia

2020 ◽  
Vol 56 (2) ◽  
pp. 151-166 ◽  
Author(s):  
Jacob Prehn ◽  
Douglas Ezzy
Keyword(s):  
Health Outcomes ◽  
State Government ◽  
Policy Development ◽  
Well Being ◽  
Men’S Health ◽  
Men's Health ◽  
Adventure Therapy ◽  
Male Health ◽  
And Gender ◽  
Effective Models

Aboriginal and/or Torres Strait Islander men have the worst health of any group in Australia. Despite this, relevant policies do not specifically explain how the issue will be improved. Existing research demonstrates the complexity of the problems facing Australian Indigenous men. The intersection of masculinity and Indigeneity, compounded by colonisation, historical policies, stigma, marginalisation, trauma, grief and loss of identity are key factors that shape these poor health outcomes. These outcomes are acknowledged in federal and some state government policies but not implemented. The article argues for a holistic and decolonised approach to Australian Aboriginal men’s health. Effective models of intervention to improve men’s health outcomes include men’s health clinics, men’s groups, Men’s Sheds, men’s health camps/bush adventure therapy, fathering groups and mentoring programs. Further research needs to be undertaken, with a greater emphasis on preventative health measures, adequate specific funding, culturally and gender appropriate responses to health, and government policy development and implementation covering Aboriginal male health.

A RELATIVISTIC EFFECTIVE MODEL WITH PARAMETERIZED COUPLINGS FOR NEUTRON STARS: THE ROLE OF ANTIKAON CONDENSATES

2011 ◽  
Vol 20 (supp02) ◽  
pp. 133-139
Author(s):  
ALEXANDRE MESQUITA ◽  
MOISÉS RAZEIRA ◽  
DIMITER HADJIMICHEF ◽  
CÉSAR A. Z. VASCONCELLOS ◽  
ROSANA O. GOMES ◽  
...  
Keyword(s):  
Neutron Stars ◽  
Coupling Constants ◽  
Effective Model ◽  
Extended Model ◽  
Many Body ◽  
Parametric Dependence ◽  
Interaction Terms ◽  
Coupling Terms ◽  
Effective Models

We study the effects of antikaon condensates in neutron stars in the framework of a relativistic effective model with derivative couplings which includes genuine many-body forces simulated by nonlinear interaction terms involving scalar-isoscalar (σ, σ*), vector-isoscalar (ω, ɸ), vector-isovector (ϱ), scalar-isovector (δ) mesons. The effective model presented in this work has a philosophy quite similar to the original version of the model with parameterized couplings. But unlike that, in which the parametrization is directly inserted in the coupling constants of the Glendenning model, we present here a method for the derivation of the parametric dependence of the coupling terms, in a way that allows in one side to consistently justify this parametrization and in the other to extend in a coherent way the range of possibilities of parameterizations in effective models with derivative couplings. The extended model is then applied to the description of the mass of neutron stars.

Wavelength-convertible Lightwave Networks

2005 ◽  
Author(s):  
Kuo-Chun Lee ◽  
V.O.K. Li
Keyword(s):  
Lightwave Networks

scholarly journals Deep Learning Methods for Heart Sounds Classification: A Systematic Review

Entropy ◽  
2021 ◽  
Vol 23 (6) ◽  
pp. 667
Author(s):  
Wei Chen ◽  
Qiang Sun ◽  
Xiaomin Chen ◽  
Gangcai Xie ◽  
Huiqun Wu ◽  
...  
Keyword(s):  
Neural Network ◽  
Systematic Review ◽  
Deep Learning ◽  
Heart Sounds ◽  
Learning Approaches ◽  
Automated Classification ◽  
Learning Methods ◽  
Artificial Intelligence Technology ◽  
Medical Big Data ◽  
Effective Models

The automated classification of heart sounds plays a significant role in the diagnosis of cardiovascular diseases (CVDs). With the recent introduction of medical big data and artificial intelligence technology, there has been an increased focus on the development of deep learning approaches for heart sound classification. However, despite significant achievements in this field, there are still limitations due to insufficient data, inefficient training, and the unavailability of effective models. With the aim of improving the accuracy of heart sounds classification, an in-depth systematic review and an analysis of existing deep learning methods were performed in the present study, with an emphasis on the convolutional neural network (CNN) and recurrent neural network (RNN) methods developed over the last five years. This paper also discusses the challenges and expected future trends in the application of deep learning to heart sounds classification with the objective of providing an essential reference for further study.

Effective models for correlating spectral reflectance between spectrophotometers

2013 ◽  
Vol 129 (4) ◽  
pp. 312-321 ◽  
Author(s):  
Yang Xu ◽  
M Ronnier Luo ◽  
Pei-Li Sun ◽  
Changjun Li
Keyword(s):  
Spectral Reflectance ◽  
Effective Models

Optical response of crystals with effective models

2018 ◽  
Author(s):  
Rodrigo A. Muniz ◽  
J. L. Cheng ◽  
M. Kira ◽  
J. E. Sipe
Keyword(s):  
Optical Response ◽  
Effective Models
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