Asean International Sandbox Conference

Editor's Note

Kanitsorn Terdpaopong — 2024-06-17

Editorial Board

Kanitsorn Terdpaopong — 2024-06-17

Identifying Significant Cranial Angles for Predicting Normal vs. Syndromic Craniosynostosis Patients: A Stepwise Logistic Regression Approach

Mohamad Norikmal Fazli Hisam — 2024-01-27

Motivation: Previous research in identifying significant angles for early detection of syndromic craniosynostosis (SC) was proposed by making a comparison with a 95% confidence interval (CI) of the angular mean from the non-SC patients. Depending on the number of variables and population studied, this method requires one-by-one comparisons, is time-consuming, and is not robust to outliers.

Objective: we proposed the use of a logistic regression model to identify the significant cranial angles that can well discriminate between the syndromic and non-syndromic patients.

Methodology: Twelve angular measurements of 39 patients (17 patients with SC and 22 normal patients aged between 0 to 12 years) who sought treatment at the University Malaya Medical Centre (UMMC) from the year 2012 to 2020 were obtained from the previous study. 13 regression models (12 simple regression and 1 multiple regression) were produced using the simple and multiple stepwise logistic regression. The significant angles were obtained from the best model which was chosen by comparing their p-value and the Akaike Information Criterion (AIC).

Results: Results from the simple and multiple logistic regression yields TS-Ba-O (P<0.01) and ACF-DS-Ba (P<0.05) as an important factor in discriminating the patient’s condition. The best logistic regression model however suggested two more significant variables; the Na-S-SO (P<0.02) and Na-Apex point DS-Ba (P<0.08). Compared to the previous study, both TS-Ba-O and Na-Apex point DS-Ba were also captured as significant angles using CI methods.

Conclusion: The logistic regression model may serve as a promising method to identify cranial angles associated with abnormality in a patient's cranial growth.

Audit committee features and ESG disclosure: Evidence from Vietnam listed companies

Linh Thi Thuy Le — 2024-02-23

The study aims to investigate the impact of audit committee (AC) characteristics on the level of the environmental, social and governance (ESG) disclosure. The study investigated 200 annual reports and sustainability reports of 50 Vietnam listed firms for the period from 2018 to 2021. Content analysis and multiple regression methods are used to test the relationship between AC features and ESG disclosure. Empirical results show that the AC size, the frequency of meetings, the proportion of independent AC members, financial expertise and gender diversity positively influence ESG disclosure level, while the independence of AC chair and the proportion of shares owned by AC members are found to have no impact on ESG reporting. Research findings are of interest to business leaders as well as policymakers and regulators with regard to the improvement in ESG information transparency.

Influential Factors Affecting Payment Processing through Payment Gateways in the E-Marketplace Business Sector in Thailand

Sirawit Amnartbuddee — 2024-03-16

The e-marketplace business sector in Thailand has undergone remarkable growth in recent years, presenting a dynamic landscape that integrates digital technologies, commerce, and financial transactions. Financial transactions become the important process that people and businesses choose for making more efficiency and more safe. Central to the functioning of this sector are payment gateways, which serve as the critical bridge connecting consumers and businesses in an increasingly digitised economy. Referring to Bank of Thailand information, they found that E-wallet is still the most popular payment which corresponds to Digital Global Review Repoty’s information and they found that the most popular transections in financial payment is Food Delivery and E-commerce.This study investigates the key determinants affecting payment processes within the e-marketplace sector in Thailand. Employing a quantitative research approach, data was collected from 405 Thai respondents who had engaged in payment transactions through e-marketplace payment gateways. Data analysis incorporated various statistical measures, such as percentages, means, standard deviations, and binary logistic regression for hypothesis testing. The study’s findings revealed that technology acceptance and trust significantly impact payment gateways in the Thai e-marketplace sector. This study also finds the most popular payment gateway is E-wallet which corresponds to Digital Global Review Repoty’s information and Bank of Thailand information. These findings carry profound implications for both businesses and policymakers. Businesses operating within the e-marketplace sector can utilise this knowledge to enhance customer attraction and retention, optimise payment gateway functionalities, and improve trust and satisfaction levels. For policymakers, these insights can inform the development of regulatory frameworks conducive to the sector's growth and sustainability, as well as financial inclusion initiatives.

The Language Barrier of Thai Students at Rangsit University International College: Communication Strategies for Overcoming Challenges

Kanyarat Promnam — 2024-08-15

This study delves into the language barriers encountered by Thai students enrolled at Rangsit university international college and explores communication strategies employed to overcome these challenges. The research investigates the impact of language barriers of 10 Thai students' academic and social experiences within the international college setting. It also studies the effectiveness of various communication strategies utilized by Thai students to navigate linguistic challenges and engage effectively in academic and social interactions. The study analyzes the communication strategies employed by students, including language acquisition techniques, and cultural adaptation approaches. The findings highlight the significance of communication strategies in mitigating the effects of language barriers and enhancing students' academic performance and social integration. The study contributes to a deeper understanding of the complexities of language barriers faced by Thai students in an international college context and provides practical recommendations to support students in overcoming these challenges.

MHD Mixed Convection Flow and Heat Transfer due to an Inclined Stretching/Shrinking Sheet

Sumayyah Alabdulhadi — 2024-09-24

This study focuses on the numerical analysis of magnetohydrodynamic (MHD) mixed convection flow of a viscous fluid over an inclined stretching sheet. The sheet's temperature and stretching velocity are assumed to follow a power law distribution. To simplify the governing partial differential equations (PDEs), we apply similarity transformations, which transform them into ordinary differential equations (ODEs). We employ the bvp4c solver in Matlab for numerical computations. Specifically, when the buoyancy force is present and the parameter is related to as , we obtain similarity solutions. For a particular variant of the shrinking strength, non-unique solutions are found. It is evident from the temporal stability analysis that only one of them remains stable throughout time. The study investigates the effects of various parameters, such as velocity and temperature exponents, magnetic field strength, inclination angle, and buoyancy, on the flow and heat transfer properties, which are illustrated through graphical representations. Notable findings include that the local Nusselt numbers and skin friction coefficients decrease when the inclination angle of the stretching sheet increases, while they increase when the inclination angle of the shrinking sheet increases.

Modeling of an Interval Type-2 Neutrosophic Bézier Surface by Using Interpolation Method

SITI NUR IDARA ROSLI — 2024-09-24

A generalization of the type-1 neutrosophic set, interval type-2 fuzzy set, and intuitionistic fuzzy set is the interval type-2 neutrosophic set (IT2NS). This study will show how to use the interpolation approach to visualize the interval type-2 neutrosophic Bézier surface (IT2NBS) model. However, the existence of truth, indeterminacy, and falsity membership functions in neutrosophic features makes the model challenging to visualize. Apart from that, the attributes of IT2NS have an upper and lower bound, which makes it difficult. Using the IT2NS theory, this study will first introduce an interval type-2 neutrosophic control net relation (IT2NCNR) to build the model. The IT2NBS models will be represented by blending the IT2NCNR and the Bernstein basis function. Afterward, the truth, indeterminacy, and falsity memberships of the IT2NCNR are interpolated for both the upper and lower bounds to show the IT2NBSs. A review of the algorithm used to create the IT2NBS interpolation models will wrap up the study. Fortunately, the results of this study will yield a predictive model that is used in many medical applications, such as picture blurring detection, and cancer level prediction.

Visualization of Picture Fuzzy Bézier Curve Interpolation Model with Its Properties

nur Azlida Ahmad — 2024-09-24

This paper proposed and visualized picture fuzzy Bézier curve model by using interpolation method. This
model was presented using picture fuzzy sets theory as a basis and its properties. Based on the concept of picture fuzzy
point, picture fuzzy number and picture fuzzy relation, the picture fuzzy point relation and picture fuzzy control point
relation are defined. The picture fuzzy Bézier curve is created by blending the picture fuzzy control point relation with
the Bernstein basis function. Finally, the picture fuzzy Bézier curve is used to interpolate and visualize the picture fuzzy
data. Some numerical examples and the properties of the picture fuzzy Bézier curve model is also shown.

Determinants Influencing Borrowing Decisions via Online Applications in the Digital Economy Era

Chaiyan Pimsen — 2024-09-24

This research investigates the determinants influencing the decision to borrow money via online applications in the digital economy era. Utilizing a quantitative research approach, data were collected from 691 Thai individuals through convenience sampling. The study employed binary logistic regression for statistical analysis. The findings reveal several factors significantly impact the decision to use online borrowing applications. Specifically, age, frequency of financial transactions, the perceived attractiveness of borrowing through applications, and awareness of the service's terms and conditions all positively affect the decision-making process. Older individuals who frequently engage in financial transactions and find the borrowing process via apps appealing are more likely to opt for such services. Additionally, a higher level of understanding regarding the terms and conditions of borrowing also contributes to a more positive borrowing decision. These insights are instrumental in refining online lending services to better align with user preferences and requirements. Furthermore, the results provide valuable guidance for policymakers in developing strategies and regulations to enhance digital financial services, ensuring they are more accessible and user-centric. The study's implications extend to improving both digital lending platforms' practical and regulatory aspects.

The Impact of non-executive directors on operational performance of food production enterprises in Vietnam

Binh Huu Khieu — 2024-11-12

Corporate governance is being acknowledged by almost all kinds of business communities and firms as an ultimate driver to improve the firm financial performance. This study examined the association between corporate board structure and corporate financial performance using regression linear model. Principles of corporate governance deliver an explicit board structure for the purpose to facilitate the board members, which helps in making good decisions. The board of directors consists of the CEO, the chairman, the internal directors, and the external non-executive directors to work for the shareholders. This study undertakes different corporate governance attributes including non-executive directors, age, gender, experience, board size, and examines its effect on firm performance using ROA, ROA. The findings show that most of the governance variables are endogenous by nature. Results are consistent with agency theory. This study provides the theoretical and empirical evidence to better explain the association between corporate board structure and corporate firm performance in listed food production firms in Vietnam

Factors influencing the level of information disclosure on financial statements of Vietnamese listed banks

Vu Thi Thanh Binh — 2024-12-03

The banking sector plays a crucial role in the financial systems, so governments strictly mandate the disclosure of information by banks to guarantee the economic system. This study collected data from 27 listed commercial banks in Vietnam from 2017 to 2023 and employed panel data analysis to test the research model. The study used an unweighted scoring method for indicators of four financial statement elements to measure the disclosure level of financial statement information (FSI). The results indicated that the disclosure level of FSI is quite good, but a gap in disclorusing FSI in the banking sector. The findings of the panel analysis show that financial leverage, fixed asset ratio, audit firms from Big4, the number of subsidiaries, foreign ownership, and institutional ownership statistically impact the disclosure level of FSI. The study identifies three factors positively influencing the disclosure level of FSI, including audit firms from Big4, foreign ownership, and the number of subsidiaries, and three factors – leverage, fixed asset ratio, and institutional ownership negatively impact the FSI disclosure of the listed banks.