Soil is home to a diverse array of living organisms that interact within a complex food web, facilitating energy and nutrient cycling essential for sustaining life above ground. Among these organisms, soil microbes play a crucial role in supporting plant growth. Beneficial microorganisms enhance nutrient availability, improve soil structure by increasing porosity, and strengthen plant resistance to diseases. Conversely, harmful microorganisms, such as plant pathogens, can hinder plant growth and reduce crop yields when present in high concentrations. Neutral microorganisms, which naturally inhabit the soil, contribute to the soil ecosystem without directly impacting plants. A single teaspoon of soil contains over a billion microorganisms, yet only about 1% of them can be cultured in laboratory conditions. This highlights soil as one of the richest reservoirs of microbial diversity on Earth.
ในดินมีสิ่งมีชีวิตหลากหลายชนิดซึ่งมีความสัมพันธ์กันเป็นสายใยอาหารขนาดใหญ่ที่ทำให้เกิดการหมุนเวียนพลังงานและสารอาหารไปยังสิ่งมีชีวิตที่อาศัยอยู่บนดิน สิ่งมีชีวิตในดินทำหน้าที่สร้างอาหารสำหรับพืชเพื่อใช้ในการเจริญเติบโต ดินมีลักษณะเป็นรูพรุน มีทั้งน้ำ อากาศ ธาตุอาหารต่างๆ จึงเป็นแหล่งที่อยู่อาศัยของสิ่งมีชีวิตหลากหลายชนิด ซึ่งสิ่งมีชีวิตแต่ละชนิดจะมีบทบาทหลากหลายแตกต่างกันไป กลุ่มสิ่งมีชีวิตที่พบในดินได้แก่
คณะวิศวกรรมศาสตร์
Currently, lithium batteries are widely used in electronic devices and electric vehicles, making the estimation of their State of Health (SOH) crucial. Accurate SOH estimation helps extend battery lifespan, reduce maintenance costs, and prevent safety issues such as overheating or explosions. This project aims to study and analyze mathematical models of batteries and develop SOH estimation techniques using Neural Networks to enhance accuracy and evaluation speed. The experiment involved collecting charge and discharge data from three lithium battery cells under controlled temperature conditions while maintaining a constant current. The current, voltage, and time data were recorded and analyzed to determine the battery capacity for each cycle. These data were then used to train a Neural Network model. The results demonstrated an effective method for predicting battery health status. The outcomes of this project can contribute to the development of a Battery Management System (BMS) that improves battery efficiency and longevity. Additionally, it provides a foundation for applying artificial intelligence techniques in the energy sector effectively.
คณะทันตแพทยศาสตร์
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.
คณะวิศวกรรมศาสตร์
Nowadays, consumers may have experienced situations where they don't know which product to use based on their skin problems, the product they use doesn't give the desired results, the product is not worth the price, allergic to certain chemicals in the product ,or use multiple products and have ingredients that should not be used together leading to irritation. For this reason, we develop an application to analyze skin care product ingredients to solve such problems. This allows consumers to correctly understand information about the ingredients in products and know which products they should use according to their skin problems without having to rely on chemical knowledge and get products that are the best value for money. The project has integrated software knowledge to develop an application for analyzing skin care product ingredients. To find and recommend suitable skin care products to consumers. The information on various important ingredients has been collected from reliable articles and research.