MÔ PHỎNG PHÂN BỐ VÀ KHẢ NĂNG CHỊU TẢI ĐỐI VỚI CHẤT LƠ LỬNG KHU VỰC ĐẦM CẦU HAI - TỈNH THỪA THIÊN-HUẾ BẰNG MÔ HÌNH TOÁN

By applying of regression methods to assimilate data for suspended particulate matter as the input data to mathematical model, the paper presents the results on the distribution and carrying capacity of suspended particulate matter in Cau Hai lagoon, Thua Thien-Hue province during the dry season (7/2013) and rainy season (10/2013). The initial simulation show that the water exchange in Cau Hai lagoon is weak in comparsion with that in Thuy Tu lagoon as well as Tam Giang lagoon, leading the distribution of suspended particulate matter to be dominated by seasonal and the suspended particulate matter from Truoi river. The overall mean concentration of suspended particulate matter is 30 g/m3 during dry season and 48 g/m3 in the rainy season. Notably, the carrying capacity of suspended particulate matter in Cau Hai lagoon is very low in the rainy season, with the remaining capacity of receiving being only 4%. Therefore, a small increase in the suspended particulate matter can result in the overload of suspended particulate matter in Cau Hai region.Ứng dụng phương pháp hồi quy đơn trong việc đồng hóa số liệu đối với chất lơ lửng làm đầu vào cho mô hình toán, bài báo đã đưa ra những kết quả về phân bố và khả năng chịu tải chất lơ lửng tại khu vực đầm Cầu Hai tỉnh Thừa Thiên-Huế trong mùa khô (7/2013) và mùa mưa (10/2013). Các kết quả mô phỏng ban đầu cho thấy, sự trao đổi nước trong khu vực đầm Cầu Hai là yếu so với sự trao đổi nước ở đầm Thủy Tú cũng như đầm Tam Giang, dẫn tới sự phân bố chất lơ lửng trong đầm chủ yếu bị chi phối theo mùa và phụ thuộc vào nguồn chất lơ lửng từ sông Truồi đưa ra. Hàm lượng chất lơ lửng trung bình toàn đầm đạt 30 g/m3 vào mùa khô và 48 g/m3 vào mùa mưa. Đáng chú ý là khả năng chịu tải chất lơ lửng đối với đầm Cầu Hai trong mùa mưa là rất thấp, khả năng tiếp nhận chỉ còn 4%. Bởi vậy chỉ cần một tác động nhỏ làm gia tăng hàm lượng chất lơ lửng vào đầm cũng dẫn đến kết quả quá tải chất lơ lửng trong khu vực đầm Cầu Hai

PERSPECTIVES ON PERCEPTIONS AND PRACTICE THROUGH LEARNING CULTURES OF ENGLISH-SPEAKING COUNTRIES OF HIGH-QUALITY ENGLISH STUDIES PROGRAM STUDENTS, SCHOOL OF FOREIGN LANGUAGES, CAN THO UNIVERSITY, VIETNAM

The overall goal of the project is to understand the awareness or perceptions and practice of students of the High-quality English Studies program, School of Foreign Languages (SFL), Can Tho University (CTU), Vietnam when studying cultures of English-speaking countries (CESCs) to improve intercultural competence. The research on the perspectives or opinions of 200 High-quality English Studies students, 12 of them joining the semi-structured interview, about their awareness and practice through learning CESCs. The analysis would help the researcher understand the difficulties of students when studying cultural modules from English-speaking countries at SFL, CTU. The research results would suggest solutions to overcome the difficulties that students encounter, and at the same time provide factors that contribute to improving the intercultural competence of language students. Also, through the research results, despite many obstacles in the process of absorbing culture from cultural modules, students still retain their interest and love for the course-CESCs. However, it can be seen that the difficulty that many students often encounter is still cultural differences, thereby raising awareness of the need to learn cultures for students. Next is to design teaching materials to become more attractive and attractive, proactively find opportunities to communicate with foreigners.  Article visualizations

Depth-dose distribution in potatoes with low-energy X-rays

Irradiation is known as a handful measure to inhibit potato sprouting, kill harmful bacteria, and increase preservation. The absorbed dose is one of the essential characteristics of the irradiation process. In this study, the depth-dose distributions in potatoes and polymethyl methacrylate were investigated under low-energy X-ray irradiation by using the Fricke dosimeter and Gafchromic film dosimeter. The dose rates required for the rays to penetrate in polymethyl methacrylate were compared with those in potatoes. Polymethyl methacrylate could be used as a phantom in measuring the depth dose delivered in potatoes. The difference in depth-dose distribution in potatoes between one-sided and double-sided irradiation was also investigated. The calculated dose uniformity ratio values are 5.8 and 1.9 for potatoes irradiating one-sided and double-sided

Smoke-free environment policy in Vietnam: What did people see and how did they react when they visited various public places?

Introduction: Since Vietnam has signed WHO framework on tobacco control (FCTC) in 2003 and has issued tobacco control law in 2013, there has been little research concerning about what impacts smoke-free regulations have had on public compliance. The objective of this study was to assess public exposure to secondhand smoke and reaction toward smoke-free policy regulations in Vietnam and the associated factor. Methods: Using the design of GATS (Global Adult Tobacco Survey), a nationally representative sample of 8,996 adults were approached for data collection. Logistic regression was used to examine the associated factor.Results: The study revealed that the prevalence of respondents exposed to secondhand smoke was much higher in bars/café/tea shops (90.07%) and restaurants (81.81%) than in any other public places, universities (36.70%), government buildings (31.12%), public transport (20.04%), healthcare facilities (17.85%) and schools (15.84%). 13.23% of respondents saw smokers violate smoke-free regulations. Among those who saw them violate smoke-free regulations, just one-third cautioned them to stop smoking. Strikingly, a higher rate of cautioning smokers to stop smoking was observed among the older, married, and better educated respondents. Respondents who were married, better educated and in lower economic status were more likely to remind smokers to stop smoking.Conclusions: The study has called for strengthening two of the six MPOWER (Monitor, Protect, Offer, Warn, Enforce and Raise) components of the tobacco free initiative introduced by WHO, Monitoring tobacco use and prevention policies and Protecting people from tobacco smoke

TextANIMAR: Text-based 3D Animal Fine-Grained Retrieval

3D object retrieval is an important yet challenging task, which has drawn more and more attention in recent years. While existing approaches have made strides in addressing this issue, they are often limited to restricted settings such as image and sketch queries, which are often unfriendly interactions for common users. In order to overcome these limitations, this paper presents a novel SHREC challenge track focusing on text-based fine-grained retrieval of 3D animal models. Unlike previous SHREC challenge tracks, the proposed task is considerably more challenging, requiring participants to develop innovative approaches to tackle the problem of text-based retrieval. Despite the increased difficulty, we believe that this task has the potential to drive useful applications in practice and facilitate more intuitive interactions with 3D objects. Five groups participated in our competition, submitting a total of 114 runs. While the results obtained in our competition are satisfactory, we note that the challenges presented by this task are far from being fully solved. As such, we provide insights into potential areas for future research and improvements. We believe that we can help push the boundaries of 3D object retrieval and facilitate more user-friendly interactions via vision-language technologies.Comment: arXiv admin note: text overlap with arXiv:2304.0573

AI is a viable alternative to high throughput screening: a 318-target study

: High throughput screening (HTS) is routinely used to identify bioactive small molecules. This requires physical compounds, which limits coverage of accessible chemical space. Computational approaches combined with vast on-demand chemical libraries can access far greater chemical space, provided that the predictive accuracy is sufficient to identify useful molecules. Through the largest and most diverse virtual HTS campaign reported to date, comprising 318 individual projects, we demonstrate that our AtomNet® convolutional neural network successfully finds novel hits across every major therapeutic area and protein class. We address historical limitations of computational screening by demonstrating success for target proteins without known binders, high-quality X-ray crystal structures, or manual cherry-picking of compounds. We show that the molecules selected by the AtomNet® model are novel drug-like scaffolds rather than minor modifications to known bioactive compounds. Our empirical results suggest that computational methods can substantially replace HTS as the first step of small-molecule drug discovery