The Prominent Role of Hat Chap Cai Luong Arts in Tourist Attraction to Thoi Son Island, Tien Giang Province

The purpose of this article is to study and analyze the current development and utilization of cultural and artistic tourism products on Thoi Son Island, Tien Giang Province. The article focuses on evaluating the effectiveness of incorporating don ca tai tu music (a genre of chamber music in the traditional music of southern Vietnam) in serving tourism activities in recent times and identifying existing issues in the development process of these cultural and artistic tourism products. In addition to discussing the advantages and competitive capabilities of Thoi Son Island, the article also proposes suitable solutions for the development of cultural and artistic tourism products in the locality, particularly the application and promotion of the art of hat chap cai luong (one of the traditional theater opera plays in southern Vietnam) combined with storytelling for tourism purposes. The research methodology employed in the article combines both quantitative and qualitative approaches. The quantitative part of the research will concentrate on collecting data on tourist numbers, income from cultural and artistic tourism activities, and tourist satisfaction. The qualitative part will involve conducting interviews, surveys, and gathering opinions from experts and local residents to gain a better understanding of the issues related to cultural and artistic tourism products featuring cai luong singing on Thoi Son Island. The research findings indicate that incorporating the art of hat chap cai luong into tourism activities is effective. However, several issues have been identified that need to be addressed, such as diversifying cultural and artistic tourism products, protecting and promoting the local cultural values, and ensuring the ability to meet the future demand for cultural tourism products without causing har

CURRENT SITUATION AND SOLUTIONS DEVELOPING TEAM OF THE LECTURES IN VIETNAM CURRENT EDUCATION INSTITUTIONS

In the context that the fundamental and comprehensive reform of higher education in Vietnam is being promoted, it is becoming increasingly urgent to set requirements for innovation and to develop the team of lecturers, especially when the goal of education is the formation of personality and the development of personal capabilities for learners. With the identification of the teaching staff as the decisive factor for the success of the educational innovation process, the article summarizes and analyzes the current situation of the team of lecturers in higher education institutions in Vietnam today. On that basis, some basic solutions are proposed to develop the teaching staff to meet the tasks in the coming time. Article visualizations

Maximum convergence algorithm for WiFi based indoor positioning system

WiFi-based indoor positioning is widely exploited thanks to the existing WiFi infrastructure in buildings and built-in sensors in smartphones. The techniques for indoor positioning require the high-density training data to archive high accuracy with high computation complexity. In this paper, the approach for indoor positioning systems which is called the maximum convergence algorithm is proposed to find the accurate location by the strongest receiver signal in the small cluster and K nearest neighbours (KNN) of other clusters. Also, the K-mean clustering is deployed for each access point to reduce the computation complexity of the offline databases. Moreover, the pedestrian dead reckoning (PDR) method and Kalman filter with the information from the received signal strength (RSS) and inertial sensors are applied to the WiFi fingerprinting to increase the efficiency of the mobile object's position. The different experiments are performed to compare the proposed algorithm with the others using KNN and PDR. The recommended framework demonstrates significant proceed based on the results. The average precision of this system can be lower than 1.02 meters when testing in the laboratory environment with an area of 7x7 m using three access points

An automated approach for classifying reverse-engineered and forward-engineered UML class diagrams

UML Class diagrams are commonly used to describe the designs of systems. Such designs can be used to guide the construction of software. In practice, we have identified two main types of using UML: i) FwCD refers to diagrams are hand-made as part of the forward-looking development process; ii) RECD refers to those diagrams that are reverse engineered from the source code; Recently, empirical studies in Software Engineering have started looking at open source projects. This enables the automated extraction and analysis of large sets of project-data. For researching the effects of UML modeling in open source projects, we need a way to automatically determine the way in which UML used in such projects. For this, we propose an automated classifier for deciding whether a diagram is an FwCD or an RECD. We present the construction of such a classifier by means of (supervised) machine learning algorithms. As part of its construction, we analyse which features are useful in classifying FwCD and RECD. By comparing different machine learning algorithms, we find that the Random Forest algorithm is the most suitable algorithm for our purpose. We evaluate the performance of the classifier on a test set of 999 class diagrams obtained from open source projects

Weak Lefschetz property of graded Gorenstein algebras associated to the Apéry set of a numerical semigroup

It has been conjectured that all graded Artinian Gorenstein algebras of codimension three have the weak Lefschetz property over a field of characteristic zero. In this paper, we study the weak Lefschetz property of associated graded algebras A of the Apéry set of M-pure symmetric numerical semigroups generated by four natural numbers. These algebras are graded Artinian Gorenstein algebras of codimension three

A new proof of Stanley's theorem on the strong Lefschetz property

A standard graded artinian monomial complete intersection algebra $A=\Bbbk[x_1,x_2,\ldots,x_n]/(x_1^{a_1},x_2^{a_2},\ldots,x_n^{a_n})$, with $\Bbbk$ a field of characteristic zero, has the strong Lefschetz property due to Stanley in 1980. In this paper, we give a new proof for this result by using only the basic properties of linear algebra. Furthermore, our proof is still true in the case where the characteristic of $\Bbbk$ is greater than the socle degree of $A$, namely $a_1+a_2+\cdots+a_n - n$

Nonlinear Optical Tweezers As an Optical Method for Controlling Particles with High Trap Efficiency

Optical tweezers have seen as an essential tool for the manipulation dielectric microparticles and nanoparticles due to its non-contact action and high resolution of optical force. Up to now, there has been a lot of optical tweezers applications in the fields of biophysics, chemistry, medical science and nanoscience. Recently, optical tweezers have been theoretically and experimentally developing for the nanomechanical characterization of various kinds of biological cells. The configuration of optical tweezers has been day after day improving to enhance the trapping efficiency, spatial and temporal resolution and easy to control trapped objects. In common trend of optical tweezers improvements, we will discuss in detail of the several configurations of nonlinear optical tweezers using nonlinear materials as the added lens. We will also address the advantages of nonlinear optical tweezers, such as enhance optical efficiency, reduce trapping region, simplify controlling all-optical method. Finally, we present discussions about the specific properties of nonlinear optical tweezers used for stretch DNA molecule as example and an ideal to improve nonlinear  optical tweezers using thin layer of organic dye  proposed for going time