The concept of artificial intelligence (AI) is the transformation of inanimate objects into intelligent beings that can reason similarly to humans. Computer systems are capable of imitating a number of human intelligence functions, such as learning, reasoning, problem solving, speech recognition, and planning. In this regard, artificial intelligence applications have been developed to assist corporations and entrepreneurs in making business decisions. Hence, the aim of the study is to investigate the adoption of AI applications at the Vietnamese organizational level. Using the core structures of the technology–organization–environment (TOE), the theoretical model was constructed based on how technical and environmental elements influence companies’ technological innovation adoption decisions. Ten critical factors related to AI adoption are identified. To test the model, data were obtained from 193 senior managers who are directly in charge of information systems in both private and public companies in Vietnam. Subsequently, the Structural Equation Modeling (SEM) approach was used to analyze the data. The findings indicate that technical compatibility, relative advantage, technical complexity, technical capability, managerial capability, organizational readiness, government involvement, market uncertainty, and vendor partnership are significantly related to AI application adoption. Interestingly, the study results indicated that the relationship between organization size and AI adoption was not statistically significant. Therefore, the suggested adoption of the AI application could contribute to the existing research on the adoption of AI through the TOE. Finally, the significant government law implications and future research directions are further addressed.
Gold nanoparticles are widely applied as sensors because of their unique physical and chemical properties. They have a large surface area and a high volume ratio, good conductivity, great mechanical strength and high electrocatalytic activities [1]. Their properties are unique due to the existence of the surface plasmon resonance (SPR) caused by electron oscillations in the conduction band when interacting with the light. The SPR of the AuNPs depends on the size, shape and composition of the particle as well as the distance between particles and its associated with the specific colour [2]. The AuNPs have a prominent advantage compare to the bulk metal. They change their SPR when binding with other materials. The AuNPs provide a range of colours from red, brown, to purple as the core size increases from 1 nm to 100 nm. In general, AuNPs gives a strong SPR peak in the range 500-550 nm. This phenomenon could not found in their bulk metal [3].
A pilot plant combining dissolved air flotation, anaerobic degradation in an expanded granular sludge bed (EGSB) reactor and aerobic post-treatment in a vertical flow constructed wetland has been used to treat tapioca starch wastewater for more than 2.25 years. It is demonstrated that organic matter (chemical oxygen demand by >98%), nitrogen (Kjeldahl-N by >90%) and cyanide (total cyanide by >99%) can be removed very efficiently under stable operating conditions. The removal efficiency for phosphorus is lower (total-P by 50%). The treatment concept, which includes several sustainable aspects, e.g. production of energy to be used on-site, low operation demands and minimal use of chemicals, could be interesting for small- and middle-sized tapioca processing plants.
Treatment of wastewater from a tannery in Greater Ho Chi Minh City (Vietnam) was investigated on a pilot scale. After pre-treatment by the tannery that included batch-coagulation and sedimentation, the wastewater was treated by dissolved air flotation, a membrane bioreactor (MBR) and granular activated carbon (GAC) for polishing the MBR effluent. The average removal efficiency for organic substances in the MBR was 81% while total nitrogen could only be removed by 36%. The performance of the GAC column could be successfully predicted using adsorption parameters determined in laboratory experiments. A larger proportion of the organics in the MBR effluent was only weakly adsorbable, therefore the usable carbon capacity was limited as confirmed by the modelling approach. The results were used to outline the size of a technical plant with a volumetric loading rate of 3 kg COD/(m 3 *d) for the MBR and a specific carbon demand of about 1.8 kg/m 3 .J. Fettig (corresponding author) V. Pick M. Oldenburg
High concentrations of manganese and iron in the Saigon River are major problems for the water supply in Ho Chi Minh City (HCMC), Viet Nam. To identify their sources and leaching processes, we surveyed water quality along the Saigon River and ran batch leaching tests using soil and sediment samples. Two important leaching processes were identified: acidic leaching from acid sulfate soil (ASS) in the middle reaches of the river, and Mn dissolution and Fe reduction from sediments in the downstream reaches. Low pH caused the concurrent release of Fe and Mn from the ASS. In contrast, anoxia caused the release of Fe but not Mn from the sediments, whereas low pH facilitated Mn dissolution. Sediments are a more important source of Mn because of their higher Mn contents (10 times) and release rates (14 times) than those from ASS.
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