Public Park Project: Coastal folk Park is a design park in the area of Ang Sila Subdistrict, Chonburi Province. In an area of 22 acre, it is intended to be a place of rest, recreation, and also a source of learning and conservation of the seashore and the traditional way of life of the area.
จากพื้นที่ในการออกแบบเป็นพื้นที่ชายทะเลและติดกับชายเลนผู้คนในพื้นที่ยังดำเนินวิถีชีวิตแบบเรียบง่าย ยังคงมีการแกะสลักหิน ถีบกระดานหาหอย ทำให้เห็นถึงความผูกพันกับพื้นที่และวิถีชีวิต จึงเกิดไอเดียในการออกแบบสวนสาธารณะเพื่อรองรับทั้งกลุ่มคนที่ต้องการท่องเที่ยวและกลุ่มคนในพื้นที่ โดยการออกแบบให้สวนสาธารณะที่เคารพต่อบริบทของพื้นที่ โชว์จุดเด่นของวิถีชีวิต ไม่ว่าจะเป็น เรือเล็ก รูปหินแกะสลัก อาคารที่สร้างจากไม้ไผ่ และยังมีพื้นที่สำหรับการจัดกิจกรรมชุมชนอีกด้วย
คณะวิทยาศาสตร์
Bacteriocins are microbial peptides that demonstrate potency against pathogens. This study evaluated the inhibitory effects on pathogens and characterized the bacteriogenomic profile of strain TKP1-5, isolated from the feces of Anas platyrhynchos domesticus. Strain TKP1-5 was characterized using phenotypic traits, 16S rRNA sequencing, and Whole-Genome Sequencing (WGS). It exhibited growth in the presence of 2-6% NaCl, temperatures of 25-45°C, and pH levels ranging from 3 to 9. Based on ANIb, ANIm, and dDDH values, strain TKP1-5 was identified as Lactococcus lactis. Whole genome analysis revealed that strain TKP1-5 harbors the Nisin Z peptide gene cluster with a bit-score of 114.775. The antimicrobial spectrum of bacteriocin TKP1-5 showed inhibitory effects against pathogenic bacteria including Pediococcus pentosaceus JCM5885, Listeria monocytogenes ATCC 19115, Enterococcus faecalis JCM 5803T, Salmonella Typhimurium ATCC 13311ᵀ, Aeromonas hydrophila B1 AhB1, Streptococcus agalactiae 1611 and Streptococcus cowan I. Genomic analysis confirmed L. lactis TKP1-5 as a non-human pathogen without antibiotic resistance genes or plasmids. Furthermore, L. lactis TKP1-5 contains potential genes associated with various probiotic properties and health benefits. This suggests that L. lactis TKP1-5, with its antibacterial activity and probiotic potential, could be a promising candidate for further research and application in the food industry.
คณะวิทยาศาสตร์
With the development of space technology, wide-field sky surveys using telescopes have expanded the range of new data available for time-domain astronomical research. Traditional data analysis methods can no longer respond quickly and accurately enough to the growing volume of data. Thus, classifying time-series data, such as light curves, has become a significant challenge in the era of big data. In modern times, analyzing light curves has become essential for using machine learning techniques to handle and filter through massive amounts of data. Machine learning algorithms can be divided into two categories: shallow learning and deep learning. Numerous researchers have proposed and developed a variety of algorithms for light curve classification. In this study, we experimented with Support Vector Machine (SVM) and XGBoost, which are shallow machine learning algorithms, as well as 1D-CNN and Long Short-Term Memory (LSTM), which are deep learning algorithms, which are branches of deep machine learning, to classify variable stars. The training and testing data used in this study were from the Optical Gravitational Lensing Experiment-III (OGLE-III), consisting of variable star data from the Large Magellanic Cloud (LMC), categorized into five main classes: Classical Cepheids, δ Scutis, eclipsing binaries, RR Lyrae stars, and Long-period variables. The results demonstrate the performance analysis of each machine learning algorithm type applied to light curve data, while also highlighting the accuracy and statistical metrics of the algorithms used in the experiments.
คณะวิศวกรรมศาสตร์
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