Mae Fah Luang University (MFU), situated in Chiang Rai Province in northern Thailand, is named after the Princess Mother (Somdet Yah), Mae Fah Luang was the name given to her by the local people in Chiang Rai.It is an autonomous public university that was established under the Royal Charter, in 1998. The university is also known as an international university in Thailand. Mae Fah Luang University was ranked 1st in Thailand by Times Higher Education in 2021.All of its programmes are taught in English. It now has 11 schools namely, the School of Science, School of Liberal Arts, School of Management, School of Law, School of Medicine, School of Agro-Industry, School of Information Technology, School of Cosmetic Science, School of Health Science, School of Nursing and School of Anti-Ageing and Regenerative Medicine and in 2012 offers over 72 programmes such as: Biotechnology, Cosmetic Science, Engineering, Aviation Business Management, Agro-Industry, Medicine and many more. The university hospital has been completed, and was formally opened in September 2012. The School of Medicine has also been established and began offering M.D. degrees in the 2013 Academic Year.International courses offered by the university include majors in Business and Thai Language and Culture, but all courses offered by the university are open to international students.The campus is situated in Tambon Tasood, Mueang District and consists mainly of hills with only a small area of plain. Construction took many years, as the campus was mostly built on hillsides. Expansion work still continues.The university uses English as the primary medium of instruction for the majority of its courses and has many native English-speaking lecturers in a wide range of disciplines. Mae Fah Luang University is a relatively new university and benefits from this by being able to offer modern courses relevant to today's world. The People's Republic of China built the Sirindhorn Chinese Language and Cultural Center on the campus as a gift to Thailand, equipping it with computers with Chinese programs and Chinese textbooks. The center is built to resemble a traditional Chinese house, complete with courtyards, gardens, and a pond. The Confucius Institute is also located here. In the 2012-2013 Academic Year over 10,000 students were enrolled at the university.
This study investigates factors influencing passenger acceptance of mandatory sustainable aviation fuel (SAF) surcharges by extending the Theory of Planned Behavior (TPB) with Environmental Knowledge (a cognitive factor), Personal Norms from the Norm Activation Model (a moral factor), and Perceived Fairness. Analyzing 307 Thai air travelers using PLS-SEM, the model explained 55.8% of the variance in acceptance, with Perceived Fairness (β = 0.487) and Personal Norms (β = 0.288) emerging as the primary predictors. Environmental Knowledge and Attitude did not directly influence acceptance but exhibited significant indirect effects, with Personal Norms fully mediating these relationships. Findings suggest that in mandatory contexts, the traditional cognitive route of the TPB may function differently; while knowledge predicts attitude, attitude alone does not ensure acceptance without normative activation. Cognitive and moral frameworks operate sequentially within the model, yet justice-based evaluations demonstrate the strongest link to acceptance. To reduce passenger resistance, airlines and policymakers should prioritize transparent, equitable communication alongside normative framing.
The Mae-Kok River in northern Thailand is a transboundary river system influenced by multiple upstream and downstream anthropogenic pressures. This study presents a multi-matrix assessment of metal contamination by integrating river water, soils, and sediments with enrichment factor (EF) analysis, multivariate statistical approaches, and arsenic speciation. Concentrations of arsenic, lead, and nickel in river water frequently exceeded international guideline values, while EF results indicate substantial anthropogenic enrichment, particularly in the upstream reach of the river. Hierarchical cluster analysis, principal component analysis, and positive matrix factorization identify coherent groupings of elements (As, U, Co, Ni, and Cu) characterized by polymetallic geochemical associations. These patterns are compatible with upstream anthropogenic inputs involving sulfide-rich materials but do not uniquely identify specific point sources. In contrast, zinc and cadmium exhibit enrichment patterns and statistical character distinct from the polymetallic element group, consistent with diffuse anthropogenic influences such as agricultural activities, although these associations are indirect. Differences in clustering between river water and soil-sediment matrices highlight contrasting metal behavior between short-term aqueous transport and longer-term depositional accumulation. Synchrotron-based X-ray absorption spectroscopy shows that arsenic occurs predominantly as arsenate [As(V)], with localized enrichment of arsenite [As(III)] indicating spatial variability in redox conditions. Chromium is present mainly as Cr(III), suggesting limited mobility under prevailing environmental conditions. Overall, the results indicate a multi-source contamination regime shaped by overlapping upstream and local anthropogenic influences. This integrated approach improves understanding of metal behavior in transboundary river systems and provides a scientific basis for future monitoring and management efforts.
During a survey of leaf litter associated yeasts, a novel species Monosporozyma xishuangbannaensis was isolated from the leaves of Ficus religiosa in Xishuangbanna, Yunnan Province, China. The identification of the species was based on molecular data, morphological, physiological, and biochemical properties. Maximum likelihood (ML) and Bayesian inference (BI) analyses of the internal transcribed spacer (ITS) region and the D1/D2 domains of the large subunit (LSU) rDNA sequence dataset were used to confirm placement of the isolate. The phylogenetic analysis based on the D1/D2 domains of LSU sequences showed that the two strains represented a novel species in Monosporozyma. Maximum likelihood and Bayesian inference analyses revealed that Monosporozyma xishuangbannaensis formed a distinct clade with the ex-type isolate of M. unispora (CBS 398) with 97% ML and 1.00 PP statistical support, but they have 1.23% difference in the D1/D2 domains of LSU and 1.87% difference in the ITS region. Biochemical and physiological characteristics showed differences in some carbon assimilation and nitrogen profiles compared to M. unispora.
pollution, particularly fine Particulate Matter (PM2.5), poses serious health risks and environmental challenges. Traditional monitoring stations, though accurate, are limited by high costs and sparse coverage. This study presents the M-Care system, an Internet of Things (IoT)-based air quality monitoring solution that integrates low-cost sensors with Long Range (LoRa) and Wi-Fi communication technologies for real-time data collection. The system measures PM1.0, PM2.5, and PM10 concentrations along with temperature, humidity, and atmospheric pressure. It is supported by web and mobile applications developed on the Yakkaw platform, offering users intuitive access to geospatial visualizations and historical trends. Field deployment in Chiang Rai, Thailand, demonstrated that M-Care achieved a communication range of up to 200 m with 97% packet delivery under optimal conditions. Comparative analysis against reference-grade data from the Thai Pollution Control Department, OpenWeatherMap, and Dustboy sensors showed that M-Care had the lowest Mean Absolute Error (MAE) at 4.10 & micro;g/m3. Statistical validation confirmed the system's reliability, with no significant difference compared to official data. These results establish M-Care as a reliable, scalable, and cost-effective solution for real-time air quality monitoring in both urban and rural contexts.
The aim of this study was to examine the impact of the MyMind application on depression, well-being, quality of life, and mindfulness in Thai adolescents with depression. The recruitment of 202 Thai adolescents with depression took place between December 2023 and January 2024. Participants were randomized to either the waitlist control group or an 8-week MyMind application intervention. Assessments of psychological outcomes, including mindfulness, depression, well-being, and quality of life, were conducted both before and immediately following the intervention. At post-intervention, participants using the MyMind application experienced significantly less depression (d = 0.47, 95
