Predicting freshwater habitat conditions by the distribution of macroinvertebrates using artificial neural network

Artificial Neural Networks were used to model the relationship between habitat conditions and macroinvertebrate assemblages in the Queensland river and stream system. The clean water approach was used to determine the relationship between presence and absence of macroinvertebrate taxa and physical predictor variables, studying data from reference sites in near pristine conditions. Trained models were applied to assess habitat conditions of impacted and test sites. The dirty water approach studied interrelationships between physical, chemical and biological processes. Sensitivity analyses were carried out by manipulating the values of input parameters and assessing the resulting changes in outputs. Artificial Neural Networks proved an effective computational approach to support bioassessment.Thesis (M.App.Sc.) -- University of Adelaide, Dept. of Soil and Water, 200

THE IMPACT OF DATA SECURITY ON THE INTENTION OF VIETNAMESE CONSUMERS TO USE E-WALLETS

E-wallets are used as a form of payment that brings many benefits to users. This article studies the impact of data security on consumer intentions to use e-wallets in the rapidly growing economy of Vietnam. The data consist of 236 observations from a survey of consumers in Vietnam. Covariance-based structural equation modeling (CB-SEM) was employed to test the proposed hypotheses. Research results show that security trust has the greatest impact on the intention to use e-wallets, followed by perceived privacy risk, social influence, and information sensitivity. The study also reveals the role of privacy policies and security concerns in consumer intentions to use e-wallets. Based on the research results, the study provides recommendations for consumers, e-wallet providers, and governmental agencies to increase awareness of and responsibility for information security among the consumers who use e-wallets

Bivariate modelling of precipitation and temperature using a non-homogeneous hidden Markov model

Aiming to generate realistic synthetic times series of the bivariate process of daily mean temperature and precipitations, we introduce a non-homogeneous hidden Markov model. The non-homogeneity lies in periodic transition probabilities between the hidden states, and time-dependent emission distributions. This enables the model to account for the non-stationary behaviour of weather variables. By carefully choosing the emission distributions, it is also possible to model the dependance structure between the two variables. The model is applied to several weather stations in Europe with various climates, and we show that it is able to simulate realistic bivariate time series

Circular economic development in Vietnam

 In Vietnam, economic activity has so far been mainly based on the traditional approach, which is linear economy. This is also the basic cause leading to the shortage of natural resources and especially causing serious environmental pollution. In order to realize rapid and sustainable development, to harmoniously deal with the relationship between economic growth and environmental protection, to "do not trade off" economic growth with environmental pollution and degradation, to switch to an eco-friendly economy. circular economy is the right direction. However, this transformation requires seizing the opportunities and accepting the challenges that need to be overcome. The article analyzes opportunities and challenges of circular economy development and proposes solutions to promote circular economy development for Vietnam in the coming time

IDENTIFICATION AND CHARACTERIZATION OF A PURPLE NONSULFUR BACTERIUM ISOLATED FROM COASTAL AREA OF HAI PHONG FOR USING IN PRODUCTION OF UNSATURATED FATTY ACID (OMEGA 6, 7, 9)

Purple nonsulfur bacteria are a group that has so much biotechnological applications, particularly in producing of functional food rich with unsaturated fatty acids. A purple nonsulfur bacterium (named HPB.6) was chosen based on its strong growth, high lipid and synthesis of unsaturated fatty acid (omega 6,7,9). Studying on basic biological characteristics showed that the cells of HPB.6 were observed as ovoid-rod shape, none motility, Gram negative staining. The diameter of single bacterium was about 0.8-1.0 µm. The cells divide by binary fission and had bacteriochlorophyll a (Bchl a). This bacterium grew well on medium with carbon and nitrogen sources such as acetate, succinate, pyruvate, butyrate, glutamate, arginine, leucine, tyrosine, alanine, methionine, threonine, glutamine, yeast extract and NH4Cl. This selected strain grew well on medium with salt concentrations from 1.5 - 6.0% (optimum 3%), pH from 5.0 to 8.0 (optimum at pH 6.5) and could withstand Na2S at 4.0 - 5.2 mM. Based on morphological, physiological properties and 16S rRNA analysis received demonstrated that HPB.6 strain belongs to the species Rhodovulum sulfidophilum

Stakeholder Involvement and the Attainment of SDGs at Local Tourism Destinations: A Case Study in Vietnam

This paper explores how the United Nations Sustainable Development Goals (SDGs) can be achieved at local tourism destinations through the collective efforts of stakeholders. A multiple-case study is conducted at Da Nang and Hue in Vietnam. These destinations experience a controversial concern between tourism development and natural/cultural preservation. A thematic analysis of qualitative data reveals the cooperation of various stakeholders to prevent the encroachment of tourism development in the natural environment in Da Nang or balance heritage preservation and tourism development in Hue. These collective efforts facilitate the achievement of the seventeen Sustainable Development Goal to attain various SDGs in each case. This research contributes to sustainability research by revealing the contribution and effects of collective actions in achieving the common goals related to the sustainable development of local destinations

Causality relationship between foreign direct investment, trade and economic growth in Vietnam

Using quarterly time series data from 1988 to 2005, this paper examines the causality relationship between foreign direct investment, international trade and economic growth in Vietnam. In VAR model, the integration and co-integration analysis suggested that there is a long run relationship among the factors. The results of VECM causality test find bidirectional causality between foreign direct investment, export and economic growth, with uni-direction of import to export and FDI. The paper concludes that FDI invested in Vietnam was attracted by its economic growth and its foreign trade strategy. Moreover, FDI and trade are two important factors that enhance the affect of economic growth in Vietnam

New records and updated list of species in Gobiidae in the Hoi estuary of Ma River, Thanh Hoa province, Vietnam

Fieldwork in the Hoi estuary area of the Ma River has recorded nine species of Gobiidae. Three of these species are recorded for the first time in the study area, including Acentrogobius caninus (Valenciennes, 1837), Glossogobius olivaceus (Temminck & Schlegel, 1845), and Oxyurichthys papuensis (Valenciennes, 1837). We update the list of gobiid species in the Hoi estuary; it now includes 18 species