105 research outputs found
Questionnaire Designing on the Pharmaceutical Supply Chain Model: A Pilot Study in Ho Chi Minh City, Vietnam
Vietnam’s pharmaceutical industry has the potential to create value for the nation. Impact of the COVID-19 epidemic in Vietnam's pharmaceutical industry. This study was conducted on a pilot scale, and we did develop a questionnaire that was sent to pharmacists working in different hospitals in Ho Chi Minh City. This study aimed to create a questionnaire to explore those criteria given the importance of the hospital pharmaceutical supply chain. A well-designed and original questionnaire from which the researcher can conduct a large-scale formal survey. This study targeted a small group of diseases in Ho Chi Minh City. We developed a questionnaire for pharmacists working in the department pharmacy of the hospital and collected responses accordingly. As a result, we have identified and built a questionnaire with 45 observed variables. The study showed that the acceptance level of the observed variables reached the Cronbach's Alpha confidence level above 0.7 and the Corrected Item - Total Correlation value of the accepted observed variable over 0.3. Research results with the absolute value of factor loading above 0.5 are optimal, and the observed variables are statistically significant. This study has identified the observed variables for the factors of the theoretical framework. The study results can establish a measurement for further quantitative research with an expanded research scope in the future
THE PHYSICAL FITNESS STATUS OF MALE STUDENTS OF DONG NAI UNIVERSITY, VIETNAM
The article was made with the aim of evaluating the most fair and comprehensive way of physical fitness of male students at Dong Nai University. To bring about accurate results for the study, the team used research techniques common in the fields of physical education and sports. Therefore, the current fitness status of Dong Nai University students is assessed by comparing their performance with the average fitness of Vietnam and other universities such as Vietnam National University Ho Chi Minh City (VNUHCM) of the same age and sex. In this way, the fitness of 19-year-old students of Dong Nai University is also measured according to Decision 53/2008/BGD&DT of the Ministry of Education and Training. The results showed that people with good physical strength accounted for 2.49% of the total number of study subjects, people with acceptable fitness accounted for 7.47% and people with poor physical strength accounted for 90.04%. In general, male students from Dong Nai University have better physical fitness than the average Vietnamese, more than VNU-HCM students, and compared to Vietnamese in average physical strength and strength. hand and forearm muscles. They are also lower than the average fitness of the Vietnamese, lower than the students of VNU-HCM, and the average fitness of the Vietnamese in terms of speed, leg muscle strength, endurance, sub-muscular strength and dexterity. Article visualizations
Life Cycle Carbon Dioxide Emissions Assessment in the Design Phase: A Case of a Green Building in Vietnam
Buildings are responsible for about 30% of the total CO2 emissions globally. To reduce this amount of CO2, developing green buildings is one of the best approaches. However, this approach is undeveloped in Vietnam due to lacking methods to evaluate design alternatives to meet the criteria of green buildings. This paper presents a life-cycle CO2 analysis (LCCO2A) as a tool to support the decision-making process in the design phase of a 75-year-lifespan green building in Vietnam. The study conducts LCCO2A for two design alternatives (with different bricks usage and glass types) and points out the reasons for the differences. Comparing the first alternative with the second one, the results show slight variations in the amount of CO2 emissions in the erection and demolition phases (with an increase of 21.81 tons and a reduction of 106.1 tons of CO2eq, respectively), and a significant difference in the operation phase (10,631.52 tons of CO2eq or 58.34% reduction). For the whole life-cycle, the second design scenario, which uses “greener” materials shows a great decrease of 10,715.81 tons of CO2eq or 37.54%. By comparing its results with the findings in the literature, this research proves the environmental dominance of green buildings over other building categories
Soft Robotic Link with Controllable Transparency for Vision-based Tactile and Proximity Sensing
Robots have been brought to work close to humans in many scenarios. For
coexistence and collaboration, robots should be safe and pleasant for humans to
interact with. To this end, the robots could be both physically soft with
multimodal sensing/perception, so that the robots could have better awareness
of the surrounding environment, as well as to respond properly to humans'
action/intention. This paper introduces a novel soft robotic link, named
ProTac, that possesses multiple sensing modes: tactile and proximity sensing,
based on computer vision and a functional material. These modalities come from
a layered structure of a soft transparent silicon skin, a polymer dispersed
liquid crystal (PDLC) film, and reflective markers. Here, the PDLC film can
switch actively between the opaque and the transparent state, from which the
tactile sensing and proximity sensing can be obtained by using cameras solely
built inside the ProTac link. In this paper, inference algorithms for tactile
proximity perception are introduced. Evaluation results of two sensing
modalities demonstrated that, with a simple activation strategy, ProTac link
could effectively perceive useful information from both approaching and
in-contact obstacles. The proposed sensing device is expected to bring in
ultimate solutions for design of robots with softness, whole-body and
multimodal sensing, and safety control strategies.Comment: Submitted to RoboSoft 2023 for review. Final content subjected to
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On the martingale representation theorem and approximate hedging a contingent claim in the minimum mean square deviation criterion
In this work, we consider the problem of the approximate hedging of a contingent claim in the minimum mean square deviation criterion. A theorem on martingaỉe representation in the case of discrete time and an application of obtained result for semi-continous market model are given
A Generalization Bound of Deep Neural Networks for Dependent Data
Existing generalization bounds for deep neural networks require data to be
independent and identically distributed (iid). This assumption may not hold in
real-life applications such as evolutionary biology, infectious disease
epidemiology, and stock price prediction. This work establishes a
generalization bound of feed-forward neural networks for non-stationary
-mixing data
Android repository mining for detecting publicly accessible functions missing permission checks
Building a Chatbot System to Analyze Opinions of English Comments
Chatbot research has advanced significantly over the years. Enterprises have been investigating how to improve these tools’ performance, adoption, and implementation to communicate with customers or internal teams through social media. Besides, businesses also want to pay attention to quality reviews from customers via social networks about products available in the market. From there, please select a new method to improve the service quality of their products and then send it to publishing agencies to publish based on the needs and evaluation of society. Although there have been numerous recent studies, not all of them address the issue of opinion evaluation on the chatbot system. The primary goal of this paper’s research is to evaluate human comments in English via the chatbot system. The system’s documents are preprocessed and opinion-matched to provide opinion judgments based on English comments. Based on practical needs and social conditions, this methodology aims to evolve chatbot content based on user inter-actions, allowing for a cyclic and human-supervised process with the following steps to evaluate comments in English. First, we preprocess the input data by collecting social media comments, and then our system parses those comments according to the rating views for each topic covered. Finally, our system will give a rating and comment result for each comment entered into the system. Experiments show that our method can improve accuracy better than the referenced methods by 78.53%
Central limit theorem for the functional of jump Markov process
Central limit theorem for the functional of jump Markov process. Nguyễn Văn Hữu, Vương Quân Hoàng và Trần Minh Ngọc. Báo cáo: Hội nghị toàn quốc lần thứ III “Xác suất - Thống kê: Nghiên cứu, ứng dụng và giảng dạy” (tr. 34). Ba Vì, Hà Tây, ngày 12-14 tháng 05 năm 2005. Viện Toán học / Trường Đại học Khoa học tự nhiên / Đại học Quốc gia Hà Nộ
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