26 research outputs found
Déclaration de Conakry. Colloque sous régional sur l'utilisation des langues nationales dans les systèmes éducatifs
Factors Influencing Decision to Subscribe Mobile Phone Services
AbstractThe mobile phone network has been rapidly and widely growing and becoming one of the major communication channels for the day-to-day life in Thailand. Not only the rapidly development and improvement but also high competition in the mobile phone industry has resulted in the three major players in the Thai market, including AIS, DTAC, and TRUE service provider. This study emphasizes on factors influencing decision to subscribe mobile phone service and attitude toward mobile phone concerning on identity, usage, and expenses aspects. A sample of 600 respondents is observed and analysed using multivariate statistical analysis. Analyses of factors determining attitude toward mobile phone employ linear regression model and Generalized Linear Model (GLM) assuming Logit. The models applied in analysing decision to subscribe mobile phone service consist of 3 separate Probit models and Multivariate Probit for the three service providers. The results indicate that mobile phone network subscribers make decision to subscribe mobile phone service by taking all three services providers as choices simultaneous, thus, Multivariate Probit models show significant estimated results. The findings also reveal that attitude towards mobile phone and marketing mixed have significant impacts on decision to subscribe mobile phone service
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Implications for Post-processing Nucleosynthesis of Core-collapse Supernova Models with Lagrangian Particles
We investigate core-collapse supernova (CCSN) nucleosynthesis with self-consistent, axisymmetric (2D) simulations performed using the neutrino hydrodynamics code Chimera. Computational costs have traditionally constrained the evolution of the nuclear composition within multidimensional CCSN models to, at best, a 14-species α-network capable of tracking only (α, γ)reactions from 4He to 60Zn. Such a simplified network limits the ability to accurately evolve detailed composition and neutronization or calculate the nuclear energy generation rate. Lagrangian tracer particles are commonly used to extend the nuclear network evolution by incorporating more realistic networks into post-processing nucleosynthesis calculations. However, limitations such as poor spatial resolution of the tracer particles; inconsistent thermodynamic evolution, including misestimation of expansion timescales; and uncertain determination of the multidimensional mass cut at the end of the simulation impose uncertainties inherent to this approach. We present a detailed analysis of the impact of such uncertainties for four self-consistent axisymmetric CCSN models initiated from solar-metallicity, nonrotating progenitors of 12, 15, 20, and 25 and evolved with the smaller α-network to more than 1 s after the launch of an explosion
Implications for Post-processing Nucleosynthesis of Core-collapse Supernova Models with Lagrangian Particles
We investigate core-collapse supernova (CCSN) nucleosynthesis with self-consistent, axisymmetric (2D) simulations performed using the neutrino hydrodynamics code Chimera. Computational costs have traditionally constrained the evolution of the nuclear composition within multidimensional CCSN models to, at best, a 14-species α-network capable of tracking only (α, γ)reactions from 4He to 60Zn. Such a simplified network limits the ability to accurately evolve detailed composition and neutronization or calculate the nuclear energy generation rate. Lagrangian tracer particles are commonly used to extend the nuclear network evolution by incorporating more realistic networks into post-processing nucleosynthesis calculations. However, limitations such as poor spatial resolution of the tracer particles; inconsistent thermodynamic evolution, including misestimation of expansion timescales; and uncertain determination of the multidimensional mass cut at the end of the simulation impose uncertainties inherent to this approach. We present a detailed analysis of the impact of such uncertainties for four self-consistent axisymmetric CCSN models initiated from solar-metallicity, nonrotating progenitors of 12, 15, 20, and 25 and evolved with the smaller α-network to more than 1 s after the launch of an explosion
