Ramkhamhaeng International Journal of Science and Technology

A Systematic Synthesis of Data Governance and Cybersecurity on Trust and Acceptance of Digital Government in Thailand

2026-03-27T14:09:00+07:00

This review article presents a systematic synthesis of the structural relationship between data governance and cybersecurity and examines their collective influence on public trust and the acceptance of digital government services in Thailand. Using a qualitative Systematic Literature Review (SLR) of global and domestic scholarly works published between 2017 and 2026, the study explores the complex balance between technological advancement and societal confidence.

The findings reveal a critical paradox: while Thailand is actively pursuing its ambition to become one of the top 40 digital governments by 2027, persistent cyber threats and data breaches continue to undermine public trust. The synthesis suggests that data governance provides the institutional framework for transparency and data quality, whereas cybersecurity establishes the technical foundation for risk mitigation. When integrated, these two pillars enable what is referred to as “technical verifiability,” which functions as a key mechanism that encourages citizens to move from basic awareness toward meaningful acceptance of digital technologies.

Policy recommendations highlight the need to transition from fragmented “data silos” to an integrated national data architecture. By adopting Privacy-Enhancing Technologies (PETs) and promoting a stronger culture of institutional accountability, the Thai government can move beyond the mere deployment of digital systems toward building the enduring digital trust required for a sustainable digital future.

Influence of Heat Treatment Temperature on Dezincification of Duplex Brass

2026-02-23T12:48:11+07:00

This study investigates the influence of heat treatment temperature on the microstructural evolution and following dezincification susceptibility of duplex brass. The specimens were heat-treated at temperatures 300°C-600°C, followed by water quenching. Subsequently, dezincification behavior was evaluated using potentiodynamic polarization. The results reveal a critical correlation between the topology of the zinc-rich phases and corrosion performance. While the alloy exhibits microstructural stability up to 400°C, significant grain coarsening and phase segregation occur at 600°C. Electrochemical measurements indicate that specimens treated at 300°C exhibit the highest susceptibility to dezincification, attributed to a continuous, interconnected network of the b phase, which facilitates rapid anodic dissolution. Conversely, heat treatment at 400°C reduces dezincification compared to 300°C; at this temperature, the coarsening of the noble a phase interrupts the continuity of the b matrix, creating a barrier that impedes corrosion propagation. notably, although the 600°C condition contains a high-volume fraction of the anodic b phase, its segregation into isolated islands prevents the formation of conductive pathways. Phase connectivity, rather than volume fraction, primarily drives the reduction in corrosion resistance for duplex brass.

Factors Affecting the Returns of the Motor Vehicle Industry in the Stock Exchange of Thailand

2026-03-30T17:00:49+07:00

Abstract

This research, titled “Factors Affecting the Returns of the Automotive Industry in the Stock Exchange of Thailand,” aims to examine the relationship between factors influencing stock returns in the motor vehicle industry during the period from January 2021 to July 2025. The results reveal that market return, inflation rate, and crude oil futures prices significantly affect the stock returns of companies in the motor vehicle industry.

Business Analysis Using Trend Analysis and Financial Ratio Analysis of the Automotive Industry: A Case Study of Stanley Electric Public Company Limited

2026-03-30T16:07:03+07:00

This study aims to analyze business performance in the automotive industry through trend analysis and financial ratio analysis. The objectives of this study are to examine trends and analyze financial ratio in four key areas including Liquidity Ratio, Efficiency Ratio, Profitability Ratio and Leverage Ratio. The study focuses on a case study of Stanley Electric Public Company Limited, a large company in the automotive industry, which provides comprehensive financial data relevant to Thailand’s automotive sector. The data used in this study are derived from the company’s financial statements for the years 2022 to 2024. The results of the study are as follows. First, in the trend analysis, with 2022 as the base year, it was found that in 2023 and 2024, cash, accounts receivable, inventory, noncurrent assets, and current liabilities showed a decreasing trend compared to 2022, respectively. Second, in the financial ratio analysis across four dimensions including Liquidity Ratio, Efficiency Ratio, Profitability Ratio and Leverage Ratio, it was found that the company performed well overall. In terms of liquidity, the current ratio was greater than 1, indicating that the company had sufficient current assets to cover its current liabilities. Regarding operational efficiency, the accounts receivable turnover ratio was greater than 1, demonstrating that Stanley Electric Public Company Limited has effective receivables management. In terms of profitability, it was found that in 2024, the gross profit margin was the highest compared to 2022 and 2023, accounting for 18.41 percent of total sales. Finally, in terms of solvency, the debt-to-equity ratio in 2023 to 2024 showed a decreasing trend, indicating that the company has been improving its financial management, with a declining level of debt relative to equity.

Decoding Sustainable Storytelling: The Brewing ESG Framework of Coffee Brands on Digital Platforms

2026-04-20T12:07:30+07:00

This study aims to decode the digital Environmental, Social, and Governance (ESG) strategies of leading coffee brands in Thailand by analyzing their content structures, persuasive mechanisms, and sustainability storytelling. As digital platforms become the primary medium for sustainability communication, brands face consumer skepticism and accusations of greenwashing. To understand how organizations construct brand authenticity to mitigate this skepticism, a qualitative deductive content analysis was conducted on 219 digital footprints across official websites, public relations news, Facebook, and Instagram from three major coffee chains: Café Amazon, Starbucks, and Punthai Coffee. The findings unveil the Brewing ESG storytelling framework, comprising three distinct strategic typologies. First, the planet-focused global standard pattern (Starbucks) utilizes the central route of persuasion and journey stories on official platforms to build systematic authenticity through international certifications. Second, the planet-people integrated engagement pattern (Café Amazon) relies on the peripheral route and impact stories on social media to empower marginalized groups, constructing relational authenticity. Third, the profit-local origin pattern (Punthai Coffee) leverages origin stories and local ingredients to foster identity-based authenticity, proving that localness is a powerful signaling mechanism. The study concludes that effective digital ESG communication requires a sophisticated media segmentation strategy. By partitioning logical evidence on official channels and emotional storytelling on social media, organizations have the potential to support perceived credibility and cultivate genuine sustainability communication.

Synergistic effects of basal media and plant growth regulators on the in vitro micropropagation of Asparagus racemosus

2026-04-10T22:19:59+07:00

Asparagus racemosus (Shatavari) is a high-value medicinal herb facing genetic depletion due to over-exploitation and climate-induced propagation challenges. This study established an optimized in vitro micropropagation protocol by evaluating the synergistic effects of two basal media, Murashige and Skoog (MS) and Woody Plant Medium (WPM), supplemented with varying concentrations (0–4 mg/L) of five plant growth regulators (NAA, IBA, IAA, KN, and BAP). One-way ANOVA confirmed that PGR type and concentration significantly influenced both shoot proliferation and elongation. Cytokinins, particularly kinetin (KN), outperformed auxins for shoot induction. The highest proliferation was achieved in WPM supplemented with 4 mg/L KN, yielding 3.80 ± 0.25 shoots per explant after 30 days. Long-term kinetics monitored over 90 days revealed that WPM supported consistent, aggressive growth, whereas MS medium exhibited irregular kinetics with a growth lag at 60 days. Conversely, MS medium supplemented with 1 mg/L IAA was most effective for elongation. A significant physiological trade-off was observed between shoot number and length. These findings demonstrate that while MS is suitable for specialized elongation, WPM provides a superior, stable environment for sustained, large-scale biomass production of A. racemosus.

Optimization of Low-Dose CT Protocols for Lung Cancer Screening: A Comprehensive Analysis Using Clinical and Phantom Data

2026-04-27T09:59:37+07:00

Abstract

Objective: To optimize Low-Dose Computed Tomography (LDCT) protocols for lung cancer screening by evaluating radiation dose, image quality, and the accuracy of Hounsfield Unit (HU) measurements across various technical settings.

Methods: The study compared clinical data with phantom experiments. Clinical analysis was performed on 190 patients (95 standard-dose and 95 low-dose CT) scanned with a 128-slice CT system. Radiation metrics (CTDIvol, DLP, SSDE, and Effective Dose) and image quality (SNR, CNR, and noise) were recorded. In the experimental phase, a CT Tissue Equivalent (TE) phantom with 18 tissue-mimicking inserts was scanned using nine different protocols (mA: 11–350; kV: 70–140) to determine the correlation between electron density and CT numbers.

Results: The LDCT protocols achieved a radiation dose reduction of over 70% compared to standard-dose protocols (p < 0.05). Although image noise increased at lower doses, CNR and SNR remained clinically acceptable for screening purposes. Phantom analysis demonstrated a strong linear correlation (R² > 0.99) between electron density and CT numbers across all protocols. Two specific settings, 22 mA/120 kV and 30 mA/100 kV, were identified as the most effective for balancing dose reduction with quantitative accuracy.

Conclusion: Optimized LDCT protocols can significantly reduce radiation exposure while maintaining the reliability of CT numbers. The use of a tissue-equivalent phantom is a valid method for establishing screening protocols that adhere to the ALARA principle. However, a visual assessment of image quality is recommended to ensure that diagnostic clarity and essential anatomical details are preserved before these optimized protocols are implemented in routine screening.

Keywords: Low-Dose CT (LDCT), Optimization, Lung Cancer Screening, Radiation Dose, Image Quality, CT Tissue Equivalent Phantom.