Aggregatibacter actinomycetemcomitans is a key pathogen in periodontal disease, damaging periodontal ligaments and alveolar bone through biofilm formation. D-LL-31, an engineered antimicrobial peptide, exhibits superior biofilm-killing ability compared to conventional treatments, while DNase I enhances its efficacy by disrupting the biofilm matrix. This study evaluated the combined effects of D-LL-31 and DNase I on A. actinomycetemcomitans biofilms. Results showed that D-LL-31 effectively eradicated biofilms, and its combination with DNase I further enhanced biofilm disruption without cytotoxicity to gingival epithelial cells. The D-LL-31 and DNase I combination shows potential for development as a mouthwash to improve oral health and combat periodontal disease.
โรคปริทันต์เป็นปัญหาสุขภาพช่องปากที่พบบ่อย โดยมี Aggregatibacter actinomycetemcomitans (Aa) เป็นหนึ่งในเชื้อก่อโรคสำคัญ เชื้อชนิดนี้สามารถสร้างไบโอฟิล์ม ซึ่งเป็นกลไกหลักที่ช่วยให้เชื้อดื้อยาต้านจุลชีพและหลบเลี่ยงระบบภูมิคุ้มกัน ทำให้การรักษาด้วยยาปฏิชีวนะทั่วไปไม่ได้ผลอย่างมีประสิทธิภาพ การพัฒนาแนวทางใหม่ในการกำจัดไบโอฟิล์มจึงเป็นสิ่งจำเป็น งานวิจัยนี้มุ่งเน้นศึกษาประสิทธิภาพของ D-LL-31 ซึ่งเป็นเปปไทด์ต้านจุลชีพที่ถูกแปลงทางวิศวกรรม เพื่อทำลายเชื้อที่อยู่ในไบโอฟิล์ม และการใช้ DNase I เพื่อสลายโครงสร้างเมทริกซ์ของไบโอฟิล์มร่วมกัน ซึ่งอาจเป็นแนวทางใหม่ในการพัฒนา น้ำยาบ้วนปาก ที่ช่วยลดเชื้อก่อโรคในช่องปากและป้องกันโรคปริทันต์ได้อย่างมีประสิทธิภาพ
คณะวิศวกรรมศาสตร์
The designing of mosquitoes counting system instrument is presented in this work. The mosquitoes that were counted died in order not to measure duplicate counting data. As soon as the input source counting machine can detect the mosquito, the single trigger signal is transmitted to the IOT system to interrupt the server immediately. The number of real mosquito is not transmitting to the IOT but only a signal to interrupt the server. The server records the number of the interrupt signal with real-time clock. Then the interrupt information will be further handled. The front end counting machine consist of the high voltage generate with the suitable voltage value and electrode distance for the required mosquitoes size. The low trigger pulse signals of the mosquitoes killed by high voltage are sending to the controller unit. Immediately, interrupt counting signal of the number of mosquitoes is sent to the big stream data collection on IOT system by the time stamp technique. Form the measurement results, 10 live sample mosquitoes in a limited space box to fly though the counting machine show that the count results are 100% correct count.
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
-
คณะเทคโนโลยีสารสนเทศ
This report is part of applying the knowledge gained from studying machine learning models and methods for developing a predictive model to identify customers likely to cancel their credit card services with a bank. The project was carried out during an internship at a financial institution, where the creator developed a model to predict customers likely to churn from their credit card services using real customer data through the organization's system. The focus was on building a model that can accurately predict customer churn by selecting features that are appropriate for the prediction model and the unique characteristics of the credit card industry data to ensure the highest possible accuracy and efficiency. This report also covers the integration of the model into the development of a website, which allows related departments to conveniently use the prediction model. Users can upload data for prediction and receive model results instantly. In addition, a dashboard has been created to present insights from the model's predictions, such as identifying high-risk customers likely to cancel services, as well as other important analytical information for strategic decision-making. This will help support more efficient marketing planning and customer retention efforts within the organization.