Vietnam is striving to develop dynamically and overcome many human resource challenges. As the economy expands, the demand for jobs and human resource development has become increasingly critical. The pressures from reform and international integration are forcing many changes. New graduates must provide proof of their academic capabilities, while also actively developing their social capital to support their job search process. In fact, social capital is an essential capital for personal development as well as professional development of new graduates. This paper applies Fuzzy Analytical Hierarchy Process based on Geometric Mean Methodology to evaluate factors for measuring the social capital of graduates at Ho Chi Minh City Open University in Vietnam. The research results highlight the important role of social networks for graduates, in which a linking network is the most important, a bonding network is the second most important, and a bridging network is the third most important. In addition, the research shows that trust plays an even more important role than networks; and specific belief is more important than general belief.

Data fusion is a multidisciplinary research area that involves different domains. It is used to attain minimum detection error probability and maximum reliability with the help of data retrieved from multiple healthcare sources. The generation of huge quantity of data from medical devices resulted in the formation of big data during which data fusion techniques become essential. Securing medical data is a crucial issue of exponentially-pacing computing world and can be achieved by Intrusion Detection Systems (IDS). In this regard, since singularmodality is not adequate to attain high detection rate, there is a need exists to merge diverse techniques using decision-based multimodal fusion process. In this view, this research article presents a new multimodal fusion-based IDS to secure the healthcare data using Spark. The proposed model involves decision-based fusion model which has different processes such as initialization, pre-processing, Feature Selection (FS) and multimodal classification for effective detection of intrusions. In FS process, a chaotic Butterfly Optimization (BO) algorithm called CBOA is introduced. Though the classic BO algorithm offers effective exploration, it fails in achieving faster convergence. In order to overcome this, i.e., to improve the convergence rate, this research work modifies the required parameters of BO algorithm using chaos theory. Finally, to detect intrusions, multimodal classifier is applied by incorporating three Deep Learning (DL)-based classification models. Besides, the concepts like Hadoop MapReduce and Spark were also utilized in this study to achieve faster computation of big data in parallel computation platform. To validate the outcome of the presented model, a series of experimentations was performed using the benchmark NSLKDDCup99 Dataset repository. The proposed model demonstrated its effective results on the applied dataset by offering the maximum accuracy of 99.21%, precision of 98.93% and detection rate of 99.59%. The results assured the betterment of the proposed model.

A quality management process plays a vital role in the success of engineering and construction projects. The management process needs to be effective and efficient if projects are to be completed on time and within the project's budget. Many construction projects' quality management processes are paper-based, which makes them time-consuming and inefficient. The next generation of Building Information Modeling (BIM) is the BIM-cloud. The BIM-cloud can help to enhance the effectiveness of a quality management process; it can also save an organization time and money. This paper proposes a quality management model based on cloud computing, mobile devices, and the Autodesk BIM 360 Field software. This software functions as a platform for gathering, managing and controlling the quality of the management data. The process is then applied to a real project in Vietnam to verify the benefits and barriers of using the BIM 360 Field for a construction project.

In the global market economy, most power consulting enterprises in Vietnam have many engineering investment projects. The successful implementation of investment projects is a vital part of their business. For projects to succeed, CEO and leaders in those firms must make the right criteria for evaluating projects. In real practice, it is not an easy task because there are many factors that influence the success of a project such as time, cost, quality, and the satisfaction of stakeholders, etc. Assessing the importance of these project success criteria is a complex multi-criterion decision problem. On the other hand, traditional assessment methods are often based on t customarily based on subjective opinions of the decision maker, resulting in the wrong decision. Therefore, this paper presents a new fuzzy decision-making method for weighting project success criteria in power consulting companies in Vietnam. This new method is expected to provide an objective measure in project success appraisal process.

E-learning has been and is an indispensable tool in the knowledge economy. It is attracting the special attention from many universities and educational institutions toward the goal of "learner-centric" because it is highly interactive, based on multimedia, enables learners to give exchange information more easily, and provides learning content that is appropriate to the capabilities and interests of each person. For more than forty years, e-learning has undergone a striking development that has paralleled technological breakthroughs. It, however, comes into the practice of education only upon integration into educational advances and based on the foundation of economic from three pillars: technology, education and economy, thereby highlighting the interactions among these factors and recommending orientations and synchronous solutions in this paper.