Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data

Accurate forecasting and analysis of emerging pandemics play a crucial role in effective public health management and decision-making. Traditional approaches primarily rely on epidemiological data, overlooking other valuable sources of information that could act as sensors or indicators of pandemic patterns. In this paper, we propose a novel framework called MGL4MEP that integrates temporal graph neural networks and multi-modal data for learning and forecasting. We incorporate big data sources, including social media content, by utilizing specific pre-trained language models and discovering the underlying graph structure among users. This integration provides rich indicators of pandemic dynamics through learning with temporal graph neural networks. Extensive experiments demonstrate the effectiveness of our framework in pandemic forecasting and analysis, outperforming baseline methods across different areas, pandemic situations, and prediction horizons. The fusion of temporal graph learning and multi-modal data enables a comprehensive understanding of the pandemic landscape with less time lag, cheap cost, and more potential information indicators

Black-box modeling of nonlinear system using evolutionary neural NARX model

Nonlinear systems with uncertainty and disturbance are very difficult to model using mathematic approach. Therefore, a black-box modeling approach without any prior knowledge is necessary. There are some modeling approaches have been used to develop a black box model such as fuzzy logic, neural network, and evolution algorithms. In this paper, an evolutionary neural network by combining a neural network and a modified differential evolution algorithm is applied to model a nonlinear system. The feasibility and effectiveness of the proposed modeling are tested on a piezoelectric actuator SISO system and an experimental quadruple tank MIMO system

CHARACTERIZATION OF CARBONATED STEELMAKING SLAG AND ITS POTENTIAL APPLICATION IN CONSTRUCTION

In the current context of Vietnam, the solid waste of steel slag occupy ground for dumping and lead to severe environmental issue due to their high content of heavy metal and fine dust. For the purpose of large-scale recycling steel slag, up to now one of the most relevant solutions is to use as aggregate for asphaltic and/or cement concrete. In this paper, we aim to analyze the influence of the accelerated carbonation condition in the laboratory on the physio-chemical properties of carbonated steel slag. Materials composition were characterized by using different analysis techniques of XRD, SEM, TG and others measurement of the physio-properties (density, L.O.I..) were also realized with regards to the requirement of the national standard for concrete aggregate. In conclusion, we will discuss the effect of reaction condition and on the feasibility of implementing this specific treatment method on a larger scale.Keywords: steelmaking slag, solid waste, CO2 sequestration, accelerated carbonation, concrete aggregate

Applying the Theory of Planned Behavior (TPB) in Investigating Consumption Behavior in Vietnam

This study explored the consumer behavior based on TPB model in Vietnam. The hypotheses are empirically tested using survey data obtained from consumer who purchased green products of household appliances in Hanoi– the capital of Vietnam. During the study, the research team added the “trend” variable which is a characteristic variable in Vietnam. The results of the multiple regression analysis show that attitude, subjective norm, perceived behavioral control, trend have significant and positive effect on household appliances product. The research findings are discussed and implications for government, manufacturing businesses, retail businesses to embrace green consumption behavior Keywords: Consumption Behavior; Vietnam; TPB; Household appliances DOI: 10.7176/EJBM/12-18-16 Publication date:June 30th 202

QUALITY OF PERSONNEL ETHNIC MINORITY IN THE MOUNTAIN AREA OF VIETNAM IN THE TIME OF PROMOTING INDUSTRIAL, MODERNIZING THE COUNTRY

Human resources are the most significant asset, a decisive factor for the existence and development of every country. Human resource development has become an urgent task not only of each country but also of each region and region according to the characteristics of geography, population and requirements of economic development orientation - society. In the mountainous areas of Vietnam, ethnic minority human resources are considered a central factor, playing a decisive role in socio-economic growth and development. Human resource training is a fundamental factor determining socio-economic development in ethnic minority areas in mountainous areas; it plays a decisive role in the education, professional and technical qualifications of human resources, training people capable of leading and gathering ethnic minority communities in production organization and social management; create human resources capable of applying new scientific and technological achievements in parallel with promoting indigenous knowledge and experiences of ethnic minorities in socio-economic development, and at the same time capable of solving new problems, problems arising in practice, production and social life.  Article visualizations

HO CHI MINH’S VIEW ON THE TRAINING OF CADRES OF ETHNIC MINORITIES IN VIETNAM

During his revolutionary activities, Ho Chi Minh paid particular attention to ethnic minorities - political subjects mainly in highland, remote and border areas. Appreciating the critical position of the mountainous region - which has a vital role in terms of economy, politics, foreign affairs and national defence; is the location of a “revolutionary base”, “where many ethnic minorities live”, “a place contiguous with neighbouring countries”. Ho Chi Minh always cares about this strategic area and gives special affection to the people of Vietnam's ethnic minorities. In particular, Ho Chi Minh took great care in training ethnic minority cadres to “make the ethnic groups gradually manage their affairs”.  Article visualizations

A Murnaghan-Nakayama rule for Grothendieck polynomials of Grassmannian type

We consider the Grothendieck polynomials appearing in the K-theory of Grassmannians, which are analogs of Schur polynomials. This paper aims to establish a version of the Murnaghan-Nakayama rule for Grothendieck polynomials of the Grassmannian type. This rule allows us to express the product of a Grothendieck polynomial with a power sum symmetric polynomial into a linear combination of other Grothendieck polynomials.Comment: 10 pages, 7 figure

Effects of potassium dichromate on the survival and reproduction of Moina micrura Kurz. 1875 (Cladocera: Moinidae)

Today, heavy metal pollution is an urgent problem in the world including Vietnam. An analytical approach is very important to identify, assess and forecast environmental risks from toxic components, in which ecotoxicology is considered to be the optimal tool. We conducted a study on M. micrura in order to contribute the creation of a biological basis for the use of zooplankton as an early warning of the risk of water pollution. The results showed that M. micrura was isolated from 29/3 Park Lake, Da Nang City, central Vietnam. The acute toxicity test of potassium dichromate on M. micrura showed LC 50 at 12, 24 and 48 hr were 0.26, 0.15 and 0.08 mg.l-1 K2Cr2O7, respectively. EC 50 was 0.015 mg.l-1 K2Cr2O7 for egg parameter and 0.009 mg.l-1 K2Cr2O7for neonate parameter. The results of acute and chronic toxicity tests showed that M. micrura was more sensitive than D. magna, D. pulex and C. cornuta.

Tourism makes conservation pay : the recreational value of the Hon Mun Islands in Vietnam

Summary of EEPSEA research report: Recreational value of the coral - surrounded Hon Mun Islands in Vietna