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Mahidol University International College

About: Mahidol University International College is a based out in . It is known for research contribution in the topics: Tourism & Corporate governance. The organization has 240 authors who have published 485 publications receiving 6095 citations.


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Journal ArticleDOI
TL;DR: In this article, the phase difference dependence of the critical Josephson current in a parallel aligned junction indicated a cross over from a 0-state to a π-state whenever the ferromagnetic barrier strength χ ex is equal to (n/2+n/0.25) π (with n ǫ = 1, 2, 4)
Abstract: The Josephson current in a double ferromagnetic layer SG/F 1 /F 2 /SG graphene junction where the SG’s are graphene-based s-wave superconductors and the F 1,2 are ferromagnetic layers of thicknesses d 1,2 in which the exchange energies are E ex 1,2 , is studied. The Josephson current in this junction is composed of Cooper pairs formed by quasi particles which are massless Weyl–Dirac electrons. By switching the alignment of the two exchange fields, we find that the Josephson current in the junction can change from being in the π -state to being in the 0-state. For the case where the magnitudes of the exchange field strength are the same, it is seen that the phase difference dependence of the critical Josephson current in a parallel aligned junction indicated a cross over from a 0-state to π -state whenever the ferromagnetic barrier strength χ ex is equal to ( n /2 + 0.25) π (with n = 1, 2, …). The AP-junction for F 1 = F 2 behaves as if it has no the magnetic barriers, like S/N/S junction. It is also seen that the temperature dependence of the (%) magneto-Josephson current ratio defined as the difference between the critical currents of the graphene-based P-junction and AP-junctions defined as, % P S ∼ ( 100 % ) x ( I P c - I AP c ) / I P c , is found to be oscillated under varying the exchange energies. The maximum value of % P S , (max) P S → − ∞ as T → T C . The cause of these effects is the relativistic nature of the quasi particles in the graphene-based junctions.

2 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated and analyzed internationalisation adjustments of Thai multinational enterprises (MNEs) based on 10 case studies of Thai MNEs in the food-processing sector.
Abstract: This article investigates and analyses internationalisation adjustments of Thai multinational enterprises (MNEs). It is based on 10 case studies of Thai MNEs in the food-processing sector. The results highlight how bilateral FTAs can influence developing-country MNEs, based on a micro-level analysis. The empirical evidence indicates that Thai MNEs, in order to internationalise successfully, responded to FTAs by developing towards hybrid competitive strategies. These findings are integrated into a single conceptual framework for analysing the influence of bilateral FTAs on firms’ internationalisation. This offers a basis for further empirical investigation of the dynamics of internationalisation by firms based in emerging economies.

2 citations

Book ChapterDOI
01 Jan 2019
TL;DR: A thematic analysis of qualitative responses from a diverse sample of former participants of an international strategy business simulation game uncovered meaningful pedagogical practices that enable classroom-workplace knowledge transfer of four critical higher-order cognitive skills.
Abstract: A business simulation game can make learning fun, but what makes it effective in fostering knowledge transfer to the actual work setting? A thematic analysis of qualitative responses from a diverse sample of former participants of an international strategy business simulation game uncovered meaningful pedagogical practices that enable classroom-workplace knowledge transfer of four critical higher-order cognitive skills, namely (1) the ability to articulate, (2) the ability to simplify information, (3) the ability to strategize, and (4) the ability to ‘think out of the box.’

2 citations

Journal ArticleDOI
27 Sep 2019-PLOS ONE
TL;DR: This in silico approach is based on the three in vivo studies and aims to resolve the discrepancies in proposed pathways of (-)-menthol metabolism and fills missing links in previously published pathways.
Abstract: Prevalence of mentholated products for consumption has brought great importance to studies on menthol's metabolic pathways to ensure safety, design more potent derivatives, and identify therapeutic benefits. Proposed pathways of (-)-menthol metabolism based on metabolites found experimentally in previous works by Yamaguchi, Caldwell & Farmer, Madyastha & Srivatsan and Hiki et al. were not in agreement. This in silico approach is based on the three in vivo studies and aims to resolve the discrepancies. Reactions in the pathways are conjugation with glucuronic acid/sulfate, oxidation to alcohol, aldehyde & carboxylic acid, and formation of a four-membered/five-membered ring. Gas-phase structures, standard Gibbs energies and SMD solvation energies at B3LYP/6-311++G(d,p) level were obtained for 102 compounds in the pathways. This study provides a more complete picture of menthol metabolism by combining information from three experimental studies and filling missing links in previously published pathways.

2 citations

Book ChapterDOI
14 May 2020
TL;DR: This study employed two weighting schemes and three supervised machine learning algorithms and downloaded the dataset from the Supreme Court of Thailand website and achieved satisfactory results for identifying major components in Thai civil case decision documents.
Abstract: A Thai civil case decision document is typically presented in a semi-structured form. Generally, Thai civil case decision documents consist of four major components comprising the dispute, facts, decision, and judgment. To perform text summarization or information extraction on this document, the first process should recognize major components in the Thai civil case decision document. This has not been addressed previously and becomes the challenge for our study that aims to present a method of identifying the four major components utilizing the text classification technique. We employed two weighting schemes and three supervised machine learning algorithms and downloaded the dataset from the Supreme Court of Thailand website (http://www.supremecourt.or.th). After testing by recall, precision, and F1 satisfactory results were achieved for identifying major components in Thai civil case decision documents at 0.83, 0.80 and 0.81, respectively.

2 citations


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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20222
202161
202055
201952
201840
201753