Differentiable Bayesian Structure Learning with Acyclicity Assurance

Score-based approaches in the structure learning task are thriving because of their scalability. Continuous relaxation has been the key reason for this advancement. Despite achieving promising outcomes, most of these methods are still struggling to ensure that the graphs generated from the latent space are acyclic by minimizing a defined score. There has also been another trend of permutation-based approaches, which concern the search for the topological ordering of the variables in the directed acyclic graph in order to limit the search space of the graph. In this study, we propose an alternative approach for strictly constraining the acyclicty of the graphs with an integration of the knowledge from the topological orderings. Our approach can reduce inference complexity while ensuring the structures of the generated graphs to be acyclic. Our empirical experiments with simulated and real-world data show that our approach can outperform related Bayesian score-based approaches.Comment: Accepted as a regular paper (9.37%) at the 23rd IEEE International Conference on Data Mining (ICDM 2023

FACTORS INFLUENCING THE USE OF PHYPHOX SOFTWARE IN PHYSICS TEACHING AT HIGH SCHOOLS IN VIETNAM

In the context of contemporary digital education, the use of Phyphox software to turn smartphones into physics experiment equipment opens new opportunities for physics education in Vietnam, yet there are many challenges and opportunities to be explored. This study aims to evaluate the factors influencing the integration of this technology into teaching through a survey of 48 physics teachers nationwide using an online questionnaire with a 5-point Likert scale. Results show that teachers are confident and willing to adopt new technology, recognizing the positive impact of the software on educational quality and student engagement. However, they face difficulties integrating the software into lessons and lack support from resources and school leadership. The study emphasizes the importance of integrating technology into education and provides a basis for developing more effective teacher support strategies. This research contributes to the theoretical foundation on software use in education and aids policy makers, educational managers, and software developers in shaping strategies to optimize technology use in education, enhancing educational quality and preparing students with the necessary skills for the digital era

HYCEDIS: HYbrid Confidence Engine for Deep Document Intelligence System

Measuring the confidence of AI models is critical for safely deploying AI in real-world industrial systems. One important application of confidence measurement is information extraction from scanned documents. However, there exists no solution to provide reliable confidence score for current state-of-the-art deep-learning-based information extractors. In this paper, we propose a complete and novel architecture to measure confidence of current deep learning models in document information extraction task. Our architecture consists of a Multi-modal Conformal Predictor and a Variational Cluster-oriented Anomaly Detector, trained to faithfully estimate its confidence on its outputs without the need of host models modification. We evaluate our architecture on real-wold datasets, not only outperforming competing confidence estimators by a huge margin but also demonstrating generalization ability to out-of-distribution data.Comment: Document Intelligence @ KDD 2021 Worksho

AI-assisted Learning for Electronic Engineering Courses in High Education

This study evaluates the efficacy of ChatGPT as an AI teaching and learning support tool in an integrated circuit systems course at a higher education institution in an Asian country. Various question types were completed, and ChatGPT responses were assessed to gain valuable insights for further investigation. The objective is to assess ChatGPT's ability to provide insights, personalized support, and interactive learning experiences in engineering education. The study includes the evaluation and reflection of different stakeholders: students, lecturers, and engineers. The findings of this study shed light on the benefits and limitations of ChatGPT as an AI tool, paving the way for innovative learning approaches in technical disciplines. Furthermore, the study contributes to our understanding of how digital transformation is likely to unfold in the education sector

Multi-dimensional data refining strategy for effective fine-tuning LLMs

Data is a cornerstone for fine-tuning large language models, yet acquiring suitable data remains challenging. Challenges encompassed data scarcity, linguistic diversity, and domain-specific content. This paper presents lessons learned while crawling and refining data tailored for fine-tuning Vietnamese language models. Crafting such a dataset, while accounting for linguistic intricacies and striking a balance between inclusivity and accuracy, demands meticulous planning. Our paper presents a multidimensional strategy including leveraging existing datasets in the English language and developing customized data-crawling scripts with the assistance of generative AI tools. A fine-tuned LLM model for the Vietnamese language, which was produced using resultant datasets, demonstrated good performance while generating Vietnamese news articles from prompts. The study offers practical solutions and guidance for future fine-tuning models in languages like Vietnamese

Fetus Trafficking in Viet Nam – The New Criminal Method of Human Trafficking

When it comes to basic rights of the fetus, including the right to life, theoretical studies around the world on human rights of the fetus still have not reached an agreement on approaches and explanation. Criminal law at the international and national levels still leaves the possibility of protecting the unborn child. Viet Nam’s criminal law is no exception to this trend. In addition, Viet Nam is currently facing human trafficking with new methods and tricks. Children are bought and paid for while still in the womb, then born abroad and given to traffickers. Children are only protected by criminal law for human trafficking if they are born, alive, and detected by the authorities. While the act of trafficking in fetuses is often easily detected by the authorities right from the stage of purchasing and paying, it is not feasible to prosecute this act for human trafficking under the criminal law of Viet Nam. This reduces the criminal law’s ability to suppress crime, at the same time, leaves many fetuses unprotected. Should criminal law be left outside the legal mechanism to protect children while in the fetal stage? This article suggests considering fetus trafficking as a form of human trafficking and to criminalize fetus trafficking. Criminal law should recognize fetus trafficking as a sign of crime or an early stage in the criminal process of human trafficking, because children need special care and protection, including appropriate legal protection before and after birth, due to their physical and mental immaturity

Factors influencing employee commitment through the mediator job satisfaction - a study of office staffs in Ho Chi Minh city

This paper examines the relationship between employee-related factors and employee commitment through the mediator job satisfaction of office employees in Ho Chi Minh City. The conceptual model is adapted from previous research and Herzberg’s two-factor theory. The theory emphasized the certain elements belonging to two categories intrinsic and extrinsic value that lead to people’s satisfaction. Four factors include Training, Pay, Working Environment, and Leadership. The data is collected through questionnaires from 422 office staffs in Ho Chi Minh; then only 395 qualified responses are analyzed. SPSS and AMOS tools are used to analyze the data through Reliability test, Model fit test, SEM method. The final result reveals that all factors are significantly related to Job Satisfaction meaning these variables also have indirect positive relationship with Employee commitment through the mediator. This research is useful for organizations which aim to build the commitment strategy for keeping best talents in the company

Tree diversity and species composition of tropical dry forests in Vietnam's Central Highlands Region

Abstract Tree species inventories, particularly of poorly known dry forests, are necessary to protect and restore them in degraded landscapes. The present research has been conducted to compare taxonomic diversity and community composition in four dry forests (DF) categories with different standing volume levels: very low (DFV), low (DFP), medium (DFM) and high (DFR). This quantitative assessment of taxonomic diversity, forest structure and species composition were obtained from 103 sample plots (0.1 ha each). The regeneration potential of trees was assessed in 515 subplots (4 m × 4 m) located within the 103 plots. A total of 1,072 trees representing 87 species belonging to 37 families were recorded in 10.3 ha of total sampled area. The ranges of diversity indices observed in the four forest types were: Margalef's (5.44–8.43), Shannon-Wiener (1.80–2.29), Simpson diversity (0.76–0.87) and evenness (0.32–0.35). The regeneration potential of rare and threatened species Dalbergia oliveri, Hopea recopei, Dalbergia bariensis, Sindora siamensis, Parashorea stellata was observed to be poor. Conversely, Cratoxylon formosum, Shorea obtusa, Dipterocarpus tuberculatus, Dipterocarpus obtusifolius, Terminalia alata, Shorea siamensis and Xylia xylocarpa were the most dominant species at the seedling and sapling stage, showing a strong potential for regeneration. Overall, this study provides useful information on tree species diversity and composition for tropical dry forests which can be used as baseline data to develop incoming plans for forest management and conservation in Vietnam's Central Highlands Region

Impact of foaming conditions on quality for foam-mat drying of Butterfly pea flower by multiple regression analysis

In recent years, the Butterfly pea flower has been increasingly interested in its color and function. However, the preservation of the extract faced many difficulties; therefore, foam drying technology was applied to solve this problem. The study was conducted to determine the effect of foaming conditions, including albumin ratio, carboxymethyl cellulose (CMC) ratio, and whipping time on foam characteristics. At the same time, the multi-dimensional regression method was also used to determine the most suitable foaming conditions for the following process. The research results showed that all 3 factors strongly influenced the foaming process of pea flower extract. It could be concluded that the most suitable condition for foaming is to use 9.3% albumin, 0.79% CMC and stir for 19 min. Under these conditions, the foam expansion and stability were 584.79% and 96.44% respectively. The powder obtained from the foam drying of Butterfly pea flower extract was also analyzed for quality. The temperature of 65 oC for 4 hrs gave relatively high-quality powder with protein content, anthocyanin and antioxidant activity of 9.89 g/100g, 1.15 mg/g and 87.34% respectively. In conclusion, the foam-mat dried powder from butterfly pea flower extract is suitable for other processing processes, especially in the processing of folk cakes, pasta and bread industry

Eliciting patients’ health concerns in consulting rooms and wards in Vietnamese public hospitals

This article examines the doctor’s elicitation of the patient’s presenting health concern in two clinical settings in the Vietnamese public hospital system: the consulting room and the ward. The data were taken from 66 audio-recorded consultations. Our analysis shows that the elicitors used by the doctor in the consulting room often communicate a weak epistemic stance towards the patient’s health issue, while those used in the ward tend to signal a strong epistemic stance. In addition, this contrast between the elicitors employed in the consulting room and the ward is evident in our data regardless of whether the consultation is a first visit or a same follow-up (in which the doctor is the same one that treated the patient on their last visit), though the contrast is less clear for different follow-ups (in which the doctor has not treated the patient before). An additional finding is that the clinical setting has some bearing on the use of inappropriate elicitation formats (in which the doctor opens the visit with an elicitor which is more appropriate for another type of visit). The precise way in which each of the consulting room and the ward operates is, of course, a feature of the Vietnamese public hospital system itself. Hence, the overall contrast between the elicitors and elicitation formats used in these two settings illustrates how, on a more general level, the institutional context can have an impact on doctor-patient communication