Listeriosis is a severe foodborne illness characterized by a fatality rate exceeding 30%, attributed to the pathogen Listeria monocytogenes. This study evaluated 160 lactic acid bacteria (LAB) isolated from Thai pickled crabs for their potential as agents against L. monocytogenes and for their probiotic properties and probiogenomic characteristics. Among these strains, strain DRC3-2 exhibited activity through the synthesis of bacteriocin DRC3-2, which significantly inhibited L. monocytogenes ATCC 19115 in spot-on-lawn assays. Phenotypic and whole-genome analyses revealed that strain DRC3-2 thrived in environments with 2-6% NaCl, pH values ranging from 3 to 9, and temperatures between 25 and 45°C. Based on average nucleotide identity (ANI) and digital DNA‒DNA hybridization (dDDH) values, strain DRC3-2 was taxonomically classified as Lactococcus lactis subsp. hordinae. The production of bacteriocin DRC3-2 peaked during the late stationary phase, following its synthesis in the early exponential growth phase. BAGEL4 analysis identified the putative novel bacteriocin DRC3-2 as lactococcin A and B, with respective bit-scores of 40.05 and 36.58. In silico safety assessments confirmed the nonpathogenic nature of strain DRC3-2 in humans, highlighting its absence of antibiotic resistance genes. Finally, this investigation underscores the novel bacteriocin DRC3-2 for application in the prevention and treatment of L. monocytogenes infections.
Listeria monocytogenes เป็นเชื้อก่อโรคที่มักพบในอาหารที่มีการปนเปื้อน สามารถอยู่รอดในสภาวะที่รุนแรง เช่น อุณหภูมิต่ำ ความเป็นกรดสูง ความเข้มข้นของเกลือสูง ซึ่งทำให้มีความเสี่ยงอย่างมากในระบบย่อยอาหารของมนุษย์ ดังนั้นจึงศึกษาแบคทีเรียกรดแลคติกที่มีความสำคัญในอุตสาหกรรมอาหารและยาเนื่องจากมีคุณสมบัติเป็นโพรไบโอติก และแบคทีเรียกรดแลคติกบางชนิดที่สามารถผลิตแบคเทอริโอซินหรือเปปไทด์ต้านจุลชีพที่มีฤทธิ์ทางชีวภาพ และแบคเทอริโอซินที่มีประสิทธิภาพในการยับยั้งแบคทีเรียก่อโรค ซึ่งถือว่าเป็นทางเลือกที่น่าสนใจแทนการใช้ยาปฎิชีวนะแบบดั้งเดิม เนื่องจากช่วยลดการพัฒนาการดื้อยาของแบคทีเรีย นอกจากนี้แบคเทอริโอซินยังมีความเสถียรสูง สามารถทนต่ออุณหภูมิที่รุนแรงและสภาวะเป็นกรดได้ อีกทั้งยังไม่เป็นพิษต่อเซลล์มนุษย์ การศึกษานี้จึงมุ่งหมายเพื่อศึกษาแบคเทอริโอซินชนิดใหม่จาก Lactococcus lactis subsp. hordinae DCR3-2 ซึ่งแยกได้จากปูดอง เพื่อประเมินฤทธิ์การต้านจุลชีพของแบคทีเรียชนิดนี้ และการวิเคราะห์ทางbioinformatics เพื่อยืนยันว่าสายพันธุ์ DCR3-2 มีความปลอดภัยสำหรับมนุษย์และมีคุณสมบัติโพรไบโอติก

คณะวิทยาศาสตร์
The purpose of this study was to examine and analyze the factors influencing household energy expenditures in Thailand. With sample group of 57,600 households. The findings reveal that the majority of the sample population is male, with an average age of 54.31 years, and most are married. The majority have an education level of primary or secondary school and are primarily Own-account worker (without employee), Private company employee or engaged in other job. In terms of social characteristics, the average household size is 2.71 people. Most residences are located in the Central, Northeastern, and Northern regions with similar proportions, followed by the Southern region and Bangkok, respectively. Most type of dwelling in detached houses, with materials of construction being cement or brick, followed by half concrete and wood. Regarding tenure, almost own dwelling and land, with an average of 2.88 rooms per household. Electricity is available in all households, with an average of 2.30 vehicles per household and an average of 22 electrical appliances per household. Regarding economic characteristics, most respondents have government/state enterprise welfare and receive benefits from the government programs. The majority have never borrow money from government funds. The average communication services of respondents amount to 788.46 THB, while the average household debt stands at 4,760.74 THB. At a significance level of 0.05, the factors influencing household energy expenditures in Thailand include gender, education level, marital status, job, household size, residential region, type of dwelling, material of construction, tenure, number of rooms, number of vehicles, number of electrical appliances, welfare of medical services, receive benefits from the government programs, borrow money from government funds, communication services, and household debt. However, age does not affect household energy expenditures in Thailand. The results of multiple linear regression analysis indicate that six quantitative independent variables—communication services, number of household electrical appliances, number of vehicles in the household, household debt, number of rooms, and household size—explain variations in household energy expenditures, with an Adjusted R Square value of 0.561.

คณะวิทยาศาสตร์
In today’s rapidly expanding e-commerce environment, the massive volume of product reviews makes it crucial to summarize user opinions in a way that is both comprehensible and practically applicable. This research presents a system for analyzing product reviews using Aspect-Based Sentiment Analysis (ABSA), a Natural Language Processing (NLP) technique that identifies key aspects of a review (such as shipping, product quality, and packaging) and evaluates the sentiment (positive, negative, or neutral) associated with each aspect, allowing both consumers and merchants to gain more efficient access to in-depth insights. This project focuses on developing AI for Thai-language ABSA by utilizing WangchanBERTa, a model trained on Thai data, and comparing it with various standard approaches such as TF-IDF + Logistic Regression, Word2Vec + BiLSTM, and Multilingual BERT (mBERT/XLM-R) to assess their performance in terms of accuracy, speed, and resource usage. Additionally, a dashboard visualization is provided to help users quickly grasp review trends. The expected outcome is to create an AI tool that can be practically employed in the e-commerce industry, enabling consumers to make easier purchasing decisions and assisting merchants in effectively improving their products and services.

คณะสถาปัตยกรรม ศิลปะและการออกแบบ
On the path of life since we were born, we have encountered many things in life, differences and various characteristics. However, each factor of each person's life has different responsibilities, dreams, and life context differences. Everyone still has to struggle against obstacles and many burdens in life, shouldering the responsibilities of themselves and their families in order to survive. Living in different ways, with many burdens and dreams, but in real life, how many people can shoulder these burdens to reach their dreams?