This research aimed to isolate and culture four strains of lactic acid bacteria (LAB) isolated from fermented foods. The antimicrobial activity of the lactic acid bacteria was studied using the agar spot method and the antibiotic resistance properties of the lactic acid bacteria were studied using the agar overlay diffusion method. The results showed that each strain of lactic acid bacteria had different levels of antimicrobial activity and antibiotic resistance, which are safety properties of probiotic microorganisms.
จุลินทรีย์โพรไบโอติก (Probiotic) หมายความว่า จุลินทรีย์ที่มีชีวิต ซึ่งเมื่อร่างกายได้รับในปริมาณที่เพียงพอจะทำให้เกิดผลที่เป็นประโยชน์ต่อสุขภาพ อาหารที่มีการใช้จุลินทรีย์โพรไบโอติกต้องได้รับอนุญาตจากสำนักงานคณะกรรมการ อาหารและยา และ ต้องใช้จุลินทรีย์ตามที่กำหนดไว้ ดังนั้นการวิจัยนี้จึงนำเชื้อแบคทีเรียแลคติกที่แยกได้จากอาหารหมัก 4 สายพันธุ์ มาศึกษาฤทธิ์การต้านเชื้อแบคทีเรียก่อโรคในอาหาร และ ศึกษาสมบัติการดื้อยาของเชื้อแบคทีเรียแลคติก
คณะแพทยศาสตร์
This study explores the application of deep convolutional neural networks (CNNs) for accurate pill identification, addressing the limitations of traditional human-based methods. Using a dataset of 1,250 images across 10 household remedy drugs, various CNN architectures, including YOLO models, were tested under different conditions. Results showed that natural lighting was optimal for imprinted pills, while a lightbox improved detection for plain pills. The YOLOv5-tiny model demonstrated the best detection accuracy, and efficientNet_b0 achieved the highest classification performance. While the model showed strong results, its generalization is limited by sample size and drug variability. Nonetheless, this approach holds promise for enhancing medication safety and reducing errors in outpatient care.
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
The concept of building a friendly city for older people by adjusting the physical environment is considered one of the crucial components of promoting older people’s better health and quality of life. Based on this tenet, designing a suitable footpath and considering older people’s needs are vital to the reduction of risks and the increase of safety in travelling, especially for older people living in Wat-Thad and Wat-Klang communities where the proportion of the elderly has continuously, increased. The research aimed to 1) survey the physical environment of footpath, approaching public assistance, 2) observe the elderly’s behavior and satisfaction on footpath in communities, and 3) create the proposal concept in developing the suitable footpath with the elderly’s need in city area. This research used various tools, including the questionnaire on the footpath’s physical environment to analyse problems, limitations, and footpath potentials, the interview of staff in the Engineering Division, Khon Kaen municipality and the questionnaires collecting travelling behaviour, satisfaction and attitude of elderly on the footpath in community. The data analysis the physical environment following six components in the monitoring list showed three used descriptive statistics. Interestingly, from 370 samples, the results of investigating qualified evaluations, namely 1) land utilisation in the communities, 2) linking the transportation network, and 3) beautifully attractive places for walking. However, three unqualified evaluations were 1) safety footpath availability, 2) design for all people, and 3) walking on the footpath to access public assistance and facilities. Moreover, the results from the questionnaire to study older people’s travelling behaviour, indicated that the most travelling objectives were grocery shopping and accessing the recreation sites with frequent visits three to five times per week. Furthermore, older people’s satisfaction with the community footpath was overall at a high level, This research proposed suggestions for developing a safe footpath to ensure safe walking access to facilities and public assistance.
คณะเทคโนโลยีการเกษตร
Durian is a crucial economic crop of Thailand and one of the most exported agricultural products in the world. However, producing high-quality durian requires maintaining the health of durian trees, ensuring they remain strong and disease-free to optimize productivity and minimize potential damage to both the tree and its fruit. Among the various diseases affecting durian, foliar diseases are among the most common and rapidly spreading, directly impacting tree growth and fruit quality. Therefore, monitoring and controlling leaf diseases is essential for preserving durian quality. This study aims to apply image analysis technology combined with artificial intelligence (AI) to classify diseases in durian leaves, enabling farmers to diagnose diseases independently without relying on experts. The classification includes three categories: healthy leaves (H), leaves infected with anthracnose (A), and leaves affected by algal spot (S). To develop the classification model, convolutional neural network (CNN) algorithms—ResNet-50, GoogleNet, and AlexNet—were employed. Experimental results indicate that the classification accuracy of ResNet-50, GoogleNet, and AlexNet is 93.57%, 93.95%, and 68.69%, respectively.