The innovation of aromatic and cooling inhalers stems from the widespread use of inhalers in modern times. This innovation aims to elevate the product to suit contemporary lifestyles, incorporating Thai identity in a way that resonates with the younger generation. The development focuses on enhancing scents using locally sourced Thai ingredients, adding value to Thai flowers and fruits. Various extraction methods are employed to preserve the fragrance for a longer duration. Additionally, borneol, camphor, and menthol are blended to provide a refreshing and cooling sensation. For the packaging, polymer clay is used to create the container, which is hand-molded and then baked to harden. Instead of a traditional cap, a fabric covering is used to introduce a unique and innovative alternative to conventional inhalers.
เพื่อยกระดับวัตถุดิบท้องถิ่นไทยให้มีกลิ่นที่แปลกใหม่ เพื่อให้เข้าถึงคนรุ่นใหม่ได้มากขึ้นและสร้างกลิ่นอัตลักษณ์ไทยโดยใช้ดอกไม้และผลไม้ไทยในการทำยาดม
คณะวิศวกรรมศาสตร์
This research suggested natural hemp fiber-reinforced ropes (FRR) polymer usage to reinforce recycled aggregate square concrete columns that contain fired-clay solid brick aggregates in order to reduce the high costs associated with synthetic fiber-reinforced polymers (FRPs). A total of 24 square columns of concrete were fabricated to conduct this study. The samples were tested under a monotonic axial compression load. The variables of interest were the strength of unconfined concrete and the number of FRRlayers. According to the results, the strengthened specimens demonstrated an increased compressive strength and ductility. Notably, the specimens with the smallest unconfined strength demonstrated the largest improvement in compressive strength and ductility. Particularly, the compressive strength and strain were enhanced by up to 181% and 564%, respectively. In order to predict the ultimate confined compressive stress and strain, this study investigated a number of analytical stress–strain models. A comparison of experimental and theoretical findings deduced that only a limited number of strength models resulted in close predictions, whereas an even larger scatter was observed for strain prediction. Machine learning was employed by using neural networks to predict the compressive strength. A dataset comprising 142 specimens strengthened with hemp FRP was extracted from the literature. The neural network was trained on the extracted dataset, and its performance was evaluated for the experimental results of this study, which demonstrated a close agreement.
คณะเทคโนโลยีการเกษตร
Supplementing broilers with different levels of fructooligosaccharides (FOS) under stress conditions, such as higher stocking densities and recycled litter that were not a significant difference in broiler performance, carcass quality and meat quality between the FOS-supplemented groups and the control group (p>0.05). FOS supplementation improved intestinal health by increasing the villus height to crypt depth ratio Lactobacillus populations increased, and Escherichia coli decreased with FOS supplementation. The heterophil-to-lymphocyte ratio was reduced which indicated lower stress.
คณะเทคโนโลยีสารสนเทศ
The process of treating cancer patients in the chemotherapy department at Chonburi Cancer Hospital is complicated and inconvenient due to the procedure of submitting blood test results through the personal LINE application of medical staff, which hinders workflow efficiency. Therefore, the researcher has developed a cancer patient management and tracking program in the form of a web-based application and LINE LIFF (LINE Front-end Framework) application to facilitate both medical personnel and patients. The web-based application is designed for medical personnel to monitor, schedule, and collect patient data, while the LINE application is designed for patients to submit blood test results, view appointment schedules, record symptoms after chemotherapy, log their weekly weight, and access a chatbot for consultation. This system is developed based on client-server technology, which enhances data analysis efficiency and supports automated treatment planning. As a result, the cancer treatment process becomes faster, more modern, and more efficient.