University of the Thai Chamber of Commerce

About: University of the Thai Chamber of Commerce is a education organization based out in Bangkok, Thailand. It is known for research contribution in the topics: Corporate social responsibility & General equilibrium theory. The organization has 223 authors who have published 422 publications receiving 5380 citations.

Optimization of light pork burgers formulated with canola oil and linseed/sunflower seed/almond(lsa) mix

Abstract: The aim of this study was to make a healthier light pork burger containing konjac flour. Two independent variables included (1) the pork fat replacement with canola oil (20-80%, w/w) and (2) added linseed/sunflower seed/almond (LSA) mix (4-10% by pork meat weight) were determined for their effects on the physical properties (cooking yield, peak force, reduction in diameter, emulsion stability and color (L * and a * ), as well as sensory quality (color, texture, flavor, taste and overall acceptability) of light pork burgers using response surface methodology (RSM). The optimal process conditions were also investigated. The results showed that the RSM was able to describe how canola oil and the LSA mix affected the physical and sensory properties of light pork burger s made with konjac flour. The development of physical properties such as cooking yield, peak force, reduction in diameter and emulsion stability were pronounced with increasing the amount of canola oil and the LSA mix. However, the product became darker and possessed a strong nutty flavor as a result of the LSA mix, consequently affecting the panelists’ preference. The optimal conditions were to substitute 21.32% of the pork fat with canola oil incorporated with 4% LSA mix.

Classification of electromyogram using vertical visibility algorithm with support vector machine

Abstract: Analyzing the electromyogram is an important issue on diagnosis of neuromuscular diseases. The classification of electromyogram signal plays a significant role in this issue. Since the characteristic of the signals is complex and non-stationary, so the complex network is an appropriate tool in extracting feature of the signal. In this paper we propose a novel feature extraction technique based on transforming the signal to complex network via vertical visibility algorithm. Characteristic on the measurements of community structure and distance property are examined. The pattern on the relationship of nodes in the network is investigated. Support vector machine was employed for classification. The proposed method can classify the signals into 3 cases, i.e., healthy, myopathy, and neuropathy, with remarkable experimental results.

Performance Improvement by Logistics Collaboration Management Model for Orchid Flower Industry in Thailand

Abstract: This paper aims to present the logistics collaboration management model and performance improvement of orchid flower firms in logistics activities for growers and exporters. The collaboration results improving cost, time and reliability to all parties in the chain. The collaboration management model becomes firms’ management tools for competitive advantage among rivals in the industry. The logistics performance indicator model uses to measure the activities between pre and post collaboration. The research contributes the uniqueness logistics collaborative management model which value to orchid industry in Thailand. The orchid flower grower and exporter may use this model as their management tool which aims in competitive advantage.

Effect of interband interaction on isotope effect exponent of MgB2 superconductors

Abstract: The exact formula of Tc’s equation and the isotope effect exponent of two-band s-wave superconductors in the weak-coupling limit are derived by considering the influence of interband interaction. In each band, our model consists of two pairing interactions: the electron-phonon interaction and non-electron-phonon interaction. We find that the isotope effect exponent of MgB2, α = 0.3 with Tc ≈ 40 K can be found in the weak coupling regime and interband interaction of electron-phonon shows more effect on the isotope effect exponent than on the interband interaction of non-phonon.

Endogenous R&D networks when labour unions have preferences over wages and employment

Abstract: We develop a model to analyse the pattern of R&D network formation when unions have relative preferences over wages and employment. Within a three-firm industry, we show that when the unions place a low weight on wages and technological spillovers are low, a partial R&D network that includes two firms but excludes the third emerges in equilibrium. In contrast, when the unions care a lot about wages, a complete R&D network that includes all firms emerges. For all other intermediate levels of union preferences over wages, there is no strong stable equilibrium network. Empirical implications emerge from these findings, which are also discussed.