TOWARDS SEMANTIC NETWORK OF PHILOSOPHY TERMINOLOGIES FOR LEARNING IN UNIVERSITY IN VIETNAM

Semantic network is so far an effective way for knowledge representation, especially if the matter deals with complexity of terminologies and concepts, which are not standalone, but connected by various relations. One among these fields of knowledge is philosophy, and one fact that the study students of university always face with difficulties when address the system of terminologies and concepts of philosophy. In practice, various tools are using by teachers for helping students understand philosophy terminologies and concepts, i.e. using mindmap tools. In this paper, we suggest a use of semantic network as a tool for representation of key terminologies in philosophy of Marxism that have been teaching in Vietnamese universities. For this purpose, the authors of the paper carefully investigate all materials of appropriate learning; make a selection and classification for setting up of terminologies; build a semantic network of these terminologies for a conceptional model. An effort is providing to design one software system with semantic updating, selecting and representing. These results are under the project “Studying and building semantic network of concepts in philosophy discipline for teaching and researching activities” ID: QG.18.46, in a University of Social Sciences and Humanities of Hanoi National University. Article visualizations

Calculation of nonlinear vibrations of piecewise-linear systems using the shooting method

In this paper, an explicit formulation of the shooting scheme for computation of multiple periodic attractors of a harmonically excited oscillator which is asymmetric with both stiffness and viscous damping piecewise linearities is derived. The numerical simulation by the shooting method is compared with that by the incremental harmonic balance method (IHB method), which shows that the shooting method is in many respects distinctively advantageous over the incremental harmonic balance method

User’s satisfaction with information system quality: An empirical study on the hospital information systems in Ho Chi Minh City, Vietnam

User satisfaction with information system quality has long been a substantial topic in the literature of information system (IS). Based on the key constructs of IS success model (including system quality and information quality) and technology acceptance model (including perceived ease of use and perceived usefulness), this paper builds and validates a theoretical framework to explain user satisfaction with information system quality. A survey study with AMOS-SEM analysis of 363 users of management information systems in 9 hospitals in HCMC, Vietnam showed that 12 of 14 hypotheses were empirically supported. The findings affirmed the direct influence of system quality, information quality and top management support on perceived ease of use, perceived usefulness and trust, and then on user satisfaction. The results also reinforced the impact of perceived ease of use on perceived usefulness, and the joint influence of perceived usefulness and trust on user satisfaction. The paper is among the first studies, in the healthcare sector, to empirically identify both information system quality and top management support in predicting user acceptance of and satisfaction with information system implementation in organizational settings. The theoretical and managerial implications of the paper were derived

Fast Temporal Wavelet Graph Neural Networks

Spatio-temporal signals forecasting plays an important role in numerous domains, especially in neuroscience and transportation. The task is challenging due to the highly intricate spatial structure, as well as the non-linear temporal dynamics of the network. To facilitate reliable and timely forecast for the human brain and traffic networks, we propose the Fast Temporal Wavelet Graph Neural Networks (FTWGNN) that is both time- and memory-efficient for learning tasks on timeseries data with the underlying graph structure, thanks to the theories of multiresolution analysis and wavelet theory on discrete spaces. We employ Multiresolution Matrix Factorization (MMF) (Kondor et al., 2014) to factorize the highly dense graph structure and compute the corresponding sparse wavelet basis that allows us to construct fast wavelet convolution as the backbone of our novel architecture. Experimental results on real-world PEMS-BAY, METR-LA traffic datasets and AJILE12 ECoG dataset show that FTWGNN is competitive with the state-of-the-arts while maintaining a low computational footprint. Our PyTorch implementation is publicly available at https://github.com/HySonLab/TWGNNComment: arXiv admin note: text overlap with arXiv:2111.0194

COVID-19, lockdown and labor uncertainty

In this paper, we investigate the impact of containment and closure poli- cies amid the COVID-19 pandemic on the labor market. We show that these effects depend on the presence of labor uncertainty. In the absence of labor uncertainty, the containment and closure policy resulted in people applying fewer self-protection measures, facing lower income and saving more. We predict that workers will lose their job as a consequence of this policy if and only if the containment elasticity of labor demand is sufficiently large. By contrast, when labor uncertainty is introduced, our model predicts more self-protection, more job loss and fewer savings as a result of a lockdown. In addition, income loss occurs if and only if the elasticity of labor demand is large enough. We test our predictions by employing new survey data collected on representative samples across 6 countries: China, Japan, South Korea, Italy, the UK, and the U.S. The survey collected information from households about their work and living situations and their income and socio-demographic characteristics. We find that young, low-income workers and urban dwellers are more vulnerable to containment and closure policies as they are more likely to lose their jobs and income. More importantly, our data provides supporting evidence to all of the predictions of our model

NUMERICAL SIMULATION TO STUDY EFFECT OF DIE DESIGN PARAMETERS ON DEFORMATION POSSIBILITY OF METAL ON COMBINED DRAWING

This paper uses numerical simulation to study amethod in combined drawing process with thinning the wall when drawing of a cylindrical cup of sheet metal. The software Deform 2D is used to examineeffect of die design parameters (inclination of die) on deformation possibility of metal. Simulation results in order to select appropriate die design parameters (conical die), to enhance the ability to deform and contribute to improve product quality

The role of trust in information adoption in social commerce: A PLS approach

Social commerce (s-commerce or SC) is rapidly growing and it is an increasingly favourite shopping way that customers adopt. Based on the view of trust as a social reality and Petty & Cacioppo’s (1986) ELM theory, the paper proposes a theoretical model integrating information quality and social support to explain information adoption through perceived consumer trust. A survey with PLS-SEM analysis of 333 consumers shows that 7 out of 11 hypotheses are empirically supported and the model explains up to 47.4% of consumer information adoption. Moreover, as expected, the information quality of s-commerce sites is always to be present to build consumer trust in s-commerce sites and in members of s-commerce sites

A conceptual framework of virtual team effectiveness from the socio-technical perspective

In the era of globalization and technologization, virtual teamwork has become a routine part of professional activity in the software industry and other industries. Understanding virtual team effectiveness helps the management to improve the overall effectiveness of organizations. In this paper, we conduct a literature review of team research to set up a conceptual framework of virtual team effectiveness based on the socio-technical perspective and Inputs-Mediators- Outputs-Inputs model. Our framework includes some salient inputs, mediators and outputs of virtual team life-cycle; specifically, technology readiness and intention to explore are two technical antecedents; team learning and transactive memory system are two social antecedents; and team performance is a socio-technical output representing virtual team effectiveness. After that, a 27-item measuring instrument of aforesaid concepts is proposed after a qualitative survey of 19 virtual team leaders and a quantitative survey of 151 virtual team members from 19 companies locating in Vietnam. The results are references for those interested in improving virtual team effectiveness