Phranakhon Rajabhat University

This study introduces a novel oxygenating facial mask enriched with hemp seed extract, which uniquely combines advanced bubble-generating technology with botanically derived antioxidants for enhanced skin care. The innovative mask forms microbubbles that simulate targeted oxygen delivery, accelerating cell renewal and improving active ingredient absorption. In a randomized, controlled trial, forty participants used either the hemp seed extract mask (F1) or a placebo (F2) over eight weeks. Both formulations demonstrated excellent physical stability for 60 days, maintaining consistent pH, color, fragrance, viscosity, and foaming properties. Notably, F1 demonstrated superior foam persistence and product stability. Clinically, the hemp mask significantly increased skin hydration (up to 65.7%, p < 0.05), reduced sebum levels (32.9%), and lowered erythema (up to 46.9 AU or 12.9%, p < 0.01), without altering skin color or causing adverse effects. Consumer satisfaction with F1 exceeded F2 by 10.7%. The novelty of this work lies in the integration of oxygenating bubble technology and hemp seed extract—demonstrating synergistic effects on skin barrier function, hydration, sebum control, and erythema reduction. These findings highlight the mask’s potential as a next-generation cosmeceutical with meaningful clinical and commercial value.

Personalized tourist attraction recommendations present a challenging problem in intelligent travel planning. Bangkok, the capital of Thailand, is a popular tourist destination offering a convenient metro system that enables travelers to plan their journeys easily. Leveraging this infrastructure, this study proposes a deep learning-based model designed to classify tourists into five categories: Nature Tourists, Cultural Tourists, Shopping Tourists, Historical Tourists, and Industrial Tourists. The model employs Neural Collaborative Filtering (NCF), utilizing deep neural networks to capture complex, non-linear patterns between users and destinations, surpassing the limitations of traditional matrix factorization methods. It integrates both user-related data, such as tourists’ opinions on destinations, and location-based data from the attractions themselves. To evaluate the model, data were collected from 30 stations along Bangkok's Pink Line, covering the northern part of the city and Nonthaburi province, and 31 tourist attractions along the route. Experimental results demonstrate high classification accuracy across tourism types: 96.26% for Nature Tourists, 80.59% for Cultural Tourists, 93.78% for Historical Tourists, 70.35% for Industrial Tourists, and 97.66% for Shopping Tourists. Furthermore, the study proposes three optimized travel routes tailored to tourist preferences: one for Nature and Cultural Tourists, another for Cultural Tourists, and a third for Historical and Cultural Tourists. By categorizing tourists based on their interests and recommending destinations accordingly, the model supports more informed and personalized travel decision-making. However, this current study serves as a prototype model and can be further applied to problems related to public transportation systems, such as deployment in mobile applications and integration with GPS positioning systems to enhance convenience and accuracy in providing tourist destination recommendations.

Abstract This research scrutinises the nuanced factors shaping the decisions of pre‐service teachers to opt for governmental teaching positions and their sustained commitment to the profession. A comprehensive sample comprising 1017 pre‐service teachers drawn from diverse educational institutions in Thailand ensures representation across varied teacher preparation programmes, academic years and socioeconomic strata. Employing a meticulously designed questionnaire, the study systematically captures data on the determinants influencing pre‐service teachers' career choices and intentions within governmental teaching positions. The findings unveil a complex interplay of intrinsic and extrinsic motivations, including Profession with High Status, Social Value, Passion for Teaching, Incentive and Intention, and Personal Condition. Significant variations in perceptions based upon gender, academic year, and socioeconomic status underscore the necessity for tailored interventions that cater to the diverse needs of pre‐service teachers. These insights hold critical implementations for policy makers, suggesting the need for targeted strategies to enhance teacher recruitment, retention and support, ultimately fostering a resilient and internationally competitive teaching workforce. Beyond its Thai context, this research provides valuable perspectives for addressing shared challenges and opportunities in teacher education globally. Context and implications Rationale for this study: This study examines the factors influencing pre‐service teachers' decisions to pursue and remain in government teaching positions in Thailand, focusing on motivations shaped by gender, socioeconomic status and academic year. Why the new findings matter: The findings shed light on the balance of intrinsic and extrinsic motivators that drive pre‐service teachers, offering insights into how targeted recruitment and retention strategies can be designed to address teacher shortages, particularly in underserved areas. Implications for policy makers, educators and researchers: For policy makers, this research emphasises the need for differentiated recruitment strategies, such as financial incentives and enhanced mentorship. For educators, fostering supportive environments is crucial in retaining teachers. Researchers are encouraged to explore the global implications of these findings, contributing to the broader discourse on teacher retention and educational development.

We study the values of the two-dimensional divisor function and its related functions on the elements of a Piatetski-Shapiro sequence.

As global demand for plant-based foods increases due to their nutritional and environmental benefits, young jackfruit (Artocarpus heterophyllus) is emerging as a promising meat alternative. This study evaluates the effects of heat treatments—specifically blanching for 5 min and boiling for 15, 30, and 45 min—on the quality and sensory attributes of jackfruit-based meatballs. The results indicate consistent color values (L∗, a∗, and b∗) across the samples, with L∗ values ranging from 53.68 to 54.92 and a∗ values from 3.02 to 3.38. The browning index increased with longer boiling times, while the water holding capacity improved from 2.22 to 4.35 as the cooking time extended. Blanching increased the hardness (536.93 g) and springiness (8.30%) of the meatballs. However, these properties decreased with longer boiling times, reaching 317.44 g and 7.68%, respectively, after 45 min. Sensory analysis revealed a strong preference for meatballs made from young jackfruit boiled for 45 min, with the highest score in appearance, flavor, and overall acceptability. These findings suggest that boiling young jackfruit for 45 min optimizes its texture and sensory qualities, highlighting its potential as a sustainable, nutritious, and appealing ingredient for plant-based meat substitutes.

Tiered umbrella or in Thai called Chat means a high decoration or decoration of honor, a type of umbrella that is stacked up in layers along a single axis. At present, in Thailand, the tiered umbrellas are seen in three important places including (1) on the top of the pagoda of various temples, (2) inside the ordination hall of temples, and (3) inside the Grand Palace for the king and the royal family. In the past, a tiered umbrella was made from brass because its color was similar to gold. Constructing each set of tiered umbrellas requires a skilled technician and takes a lot of time. At present, laser cutting of metals has been widely used in the production section of the industry. This is due to the advantages of laser cutting that include narrow kerf width, smooth cutting edges, high cutting speed, reduced material waste, no tool wear, and easy automation and manipulation even for complex shapes. In this work, an example for the construction of seven-tiered umbrellas from stainless steel sheets using a high-power CO2 laser was reported. The results show that the total working time for the construction of a seven-tiered umbrella is about 113 h, which is much less time compared to 3–6 months taken by craftsmen. Therefore, this method can preserve the construction of tiered umbrellas in Thailand even though craftsmen are scarce at present.

This paper deals with reducing CO2 emissions from cement production and finding alternative uses for electronic waste (E-waste) fibers in some innovative applications in self-compacting mortar (SCM). In the present research, an attempt has been made to establish the optimum incorporation of E-waste fiber into SCM by varying the fiber content from 5 % to 25 %, combined with para-wood ash and calcium carbonate as supplementary cementitious materials. In this laboratory study, the mix design had a constant water-to-powder ratio of 0.35 and a cement content of 550 kg/m³. Additionally, 20 % of the cement volume was replaced by 10 % para-wood ash and 10 % calcium carbonate. The results indicated a continuous increase of the mini-slump values from 255 mm for the control mix to 270 mm for the mix with the highest fiber content. Mini V-funnel flow times increased from 3.63 to 8.83 s as the fiber content increased. Lower fiber contents of 5 % improved compressive strength because they had a reinforcing role in the matrix of SCM besides the microcrack-bridging role. Higher contents of 10–25 % decreased the strength due to the clustering of fibers and resulting voids. SEM analysis at 28 days showed increased voids with higher percentages of E-waste fibers and para-wood ash alone. The results underline that optimizing fiber content is critical in balancing workability and mechanical properties, and 5 % e-waste fiber content can be considered optimal for enhancing the performance of SCM. This work also creates part of sustainable construction practice with the green solution required to reduce CO2 emissions and work accumulation against E-waste.

Banana peel is rich in bioactive compounds and dietary fiber. Both tapioca starch and bananas are naturally gluten-free. As a means of waste valorization and snack enrichment, tapioca crispy crackers were enriched with banana peel, with or without flesh. The peel was from cv.Namwa bananas are in the final stages of ripening. Phenolic compounds in the ripe banana peel led to the bitterness of the enriched crackers. To increase the amount of banana peel that could be used, the peel was boiled before being incorporated into a formulation of banana peel, at 30 g /100 g of tapioca starch, and flesh at 8 g/100 g of tapioca starch, by weight. The crackers contained no preservative or synthetic coloring or flavoring agent and were assessed without further seasoning. The product was very well-received with 100% acceptance and 93.33% of the respondents were interested in buying it. More than half of the respondents regarded it as being innovative and tasty. Proximate analyses revealed that the optimized formulation contained 2.28% ± 0.08 of total dietary fiber (about 2,280% compared to 0.01% ± 0.02 of the formulation without banana) whereas no significant increase in protein content was observed. The product contained phenolic compounds at 27.26 ± 0.19 μg TAE/g. Sensory evaluation predicted that the enriched crackers, stored at 35±1 °C in a closed container, were not likely to be rejected due to any unpleasant smell of rancidity for at least 10 days. The phenolic compounds contributed by the boiled banana peel significantly suppressed the rancidification process. The optimized formulation can be used for the development of healthy antioxidant-rich, high-fiber, and high-protein snacks using high-protein food processing by-products.