The design site of 22 hectares of agricultural land in this area is located in Tatata District, Iglenburg Province. The design concept of this area aims to encourage farmers and communities to earn income from the agricultural products produced in this area, and emphasizes that this area is a "living market", which can not only create food from a variety of crops, but also establish a balanced ecosystem and promote biodiversity in this area. The market will become a sustainable market area, which is not only beneficial to society in promoting economy, but also beneficial to the environment. The area will serve as a social and learning center, where community members can fully exchange agricultural information and experience and stimulate the economy in the community in another way.
เพื่อศึกษาการออกแบบภูมิทัศน์
คณะครุศาสตร์อุตสาหกรรมและเทคโนโลยี
This aimed to 1) develop an effective augmented reality (AR) media integrated with the metaverse to enhance English phonics and communication skills. 2) To evaluate English pronunciation skills using augmented reality media integrated with the metaverse, and 3) To assess English communication skills through interactions within the metaverse. The sample group comprised 120 Grade 4 students from two classrooms in the first semester of the 2024 academic year, selected through cluster random sampling and divided into experimental and control groups. The research instruments included AR media sets, media quality assessment forms, phonics tests, and English communication skills assessment forms, administered before and after the learning intervention. Data analysis employed mean (x ̅), standard deviation (S), t-tests for independent samples, and one-way analysis of variance (Multivariate Analysis of Variance: One-Way MANOVA) to compare mean score differences between the experimental and control groups. Results indicated that the overall quality of the AR media kit with the metaverse was rated at a very high level (x ̅= 4.80, S.D. = 0.12). Evaluating specific aspects showed that the content quality was at the highest level (x ̅= 4.92, S.D. = 0.07), while the media production technique also rated highly (x ̅ = 4.70, S.D. = 0.17). Furthermore, the English pronunciation and communication skills of the Grade 4 students using the AR media with the metaverse were significantly higher after the intervention compared to before, the overall quality of the AR media integrated with the metaverse was rated at the highest level (x ̅= 4.80, S.D. = 0.12). For individual aspects, content quality was rated at the highest level (x ̅= 4.92, S.D. = 0.07), and media production techniques were also rated at the highest level (x ̅ = 4.70, S.D. = 0.17). Comparing the mean scores of English pronunciation and communication skills between the two groups, it was found that the experimental group using AR media integrated with the metaverse demonstrated significantly higher English pronunciation skills than the control group (F(1, 89) = 3261.422, p = 0.001, Partial η² = 0.98). Additionally, the experimental group exhibited significantly higher English communication skills than the control group (F(1, 89) = 4239.365, p = 0.001, Partial η² = 0.98). These results aligned with the research hypothesis that "Grade 4 students’ English pronunciation and communication skills post-learning with AR media integrated with the metaverse would significantly improve compared to their pre-learning levels at the .05 level of significance.
คณะเทคโนโลยีสารสนเทศ
Facial Expression Recognition (FER) has attracted considerable attention in fields such as healthcare, customer service, and behavior analysis. However, challenges remain in developing a robust system capable of adapting to various environments and dynamic situations. In this study, the researchers introduced an Ensemble Learning approach to merge outputs from multiple models trained in specific conditions, allowing the system to retain old information while efficiently learning new data. This technique is advantageous in terms of training time and resource usage, as it reduces the need to retrain a new model entirely when faced with new conditions. Instead, new specialized models can be added to the Ensemble system with minimal resource requirements. The study explores two main approaches to Ensemble Learning: averaging outputs from dedicated models trained under specific scenarios and using Mixture of Experts (MoE), a technique that combines multiple models each specialized in different situations. Experimental results showed that Mixture of Experts (MoE) performs more effectively than the Averaging Ensemble method for emotion classification in all scenarios. The MoE system achieved an average accuracy of 84.41% on the CK+ dataset, 54.20% on Oulu-CASIA, and 61.66% on RAVDESS, surpassing the 71.64%, 44.99%, and 57.60% achieved by Averaging Ensemble in these datasets, respectively. These results demonstrate MoE’s ability to accurately select the model specialized for each specific scenario, enhancing the system’s capacity to handle more complex environments.
คณะทันตแพทยศาสตร์
Objective or Background: Dental caries is still one of the most significant dental problems worldwide, with prevalence rates up to 90% among children and adults. Cariogenic bacteria, especially Streptococcus mutans, is the primary microorganism involved in the pathogenesis through carbohydrate metabolism and biofilm formation, which are challenging to eradicate. Histatin-5 (HST-5), a human salivary antimicrobial peptide, has demonstrated antimicrobial activity against various fungal and bacterial pathogens. Phytosphingosine (PHS), an endogenous bioactive sphingolipid found in fungi, plants, and humans, also shows antimicrobial properties. This study aimed to evaluate the killing activity of HST-5 alone and in combination with PHS against S. mutans under biofilm-stimulating conditions. Materials and Methods: Antimicrobial activity against a planktonic culture of S. mutans was evaluated using a time-kill assay, and biofilm-forming capacity was confirmed by crystal violet staining assay. The killing ability against 24h pre-formed biofilm was determined using Transferable Solid Phase (TSP) pin lid model. Synergistic activity between HST-5 and PHS was evaluated using the checkerboard technique. Additionally, the cytotoxicity of the tested agent on human gingival fibroblast cells (hGFs) was assessed after 1 h of incubation using an MTT assay. Results: A time-kill assay revealed that both HST-5 and PHS exhibit time- and concentration-dependent activity against the planktonic form of S. mutans. PHS achieved over 90% killing activity within 15 min at 5 μg/ml, whereas HST-5 required 30 min to reach 90% killing at 20 μM. The biofilm formation capacity of S. mutans was confirmed. The inhibitory concentrations (IC50) of HST-5 and PHS against S. mutans biofilm were 25 μM and 13.5 μg/ml, respectively. A synergistic interaction between HST-5 and PHS, with IC50 values reduced by 8-fold and 16-fold, respectively. No cytotoxic effects were observed in hGFs cells at the concentration of the synergistic interaction. Conclusions: Therefore, the combination of HST-5 and PHS may enhance the effectiveness of anti-infective agents against S. mutans biofilm, potentially preventing the development of dental caries.