Search
Author
- Quan-Hoang Vuong (27)
- Anh-Tuan Le (17)
- Vuong QH (12)
- Anh D. Phan (11)
- next >
Subject
- Electrospinning (8)
- Nanoparticles (6)
- Compound droplet (5)
- Machine learning (5)
- next >
Date issued
- 2020 - 2022 (485)
- 2010 - 2019 (19)
- 2002 - 2009 (2)
Has File(s)
Search Results
The current investigation revealed two prominent findings. First, the Aichi Biodiversity Targets positively affected scientific productivity, quality and international collaboration at the national level. Still, more than half of the countries on Earth (53.41%) had not acquired any interdisciplinary publication on the topic of biodiversity and tourism. Second, international collaboration was found to be an effective measure to improve scientific quality and quantity in both periods before and after the Aichi Targets. Although the impact of international collaboration on scientific output was similar between the two periods, its impact on scientific quality during 2011–2020 was lower than during 1991–2010 |
For mitigating environmental pollution caused by excess usage of urea fertilizer, this paper reports a new fertilizer formulation, based on urea incorporating chitosan (CS) and poly (vinyl alcohol) (PVA) blend, for the slow release of urea. The urea/CS/PVA formulations were prepared by cross-linking CS and PVA blend in the presence of urea with glutaraldehyde as a cross-linker. The results indicated an interaction between urea and the functional groups of CS and PVA through hydrogen bonding, which has significant effects on the thermal properties of urea/CS/PVA formulation. The surface morphology of urea/CS/PVA formulations showed that the quantity of urea crystals anchored on the surface increased with the contents of urea and the cross-linking agent. Urea/CS/PVA formulations with ... |
This paper aims to investigate the air pollution issues in Hanoi – one of the most air polluted cities in the world in recent years – on residents’ and foreign visitors’ perceptions and how their trust in the local government to establish a joint funding mechanism to mitigate air pollution in Hanoi. Such information is fundamental in order to establish an effective and efficient program to improve air quality not only in Hanoi, but also in many cities around the world. We employ a random stratified approach coupled with the contingent valuation survey and an interval regression model over a sample of 475 residents and 75 foreigners. We found that public trust is relatively low in Hanoi. Almost all respondents in the city (95%) agreed air pollution is getting worse and poor air quali... |
Solar photovoltaic systems are being widely used in green energy harvesting recently. At the same rate of growth, the modules that come to the end of life are growing fast. The solar modules contain heavy metals such as lead, tin, and cadmium, which could pollute the environment. Inspection and maintenance of solar modules are important to increase the lifetime, reduce energy loss, and environmental protection. In this research, we proposed an efficient way for inspection and classification of anomaly solar modules using infrared radiation (IR) cameras and deep neural networks. The IR cameras could capture the temperature distribution on the solar modules remotely, and the deep neural networks could accurately prediction of the anomaly modules and classification of the anomaly types... |
This study adopts the bibliometric approach to identify the key characteristics in the relationship of demographic factors (age, gender, affiliations, and locations), scientific productivity, and the collaboration among development economics researchers in Vietnam during the period 2008–2020. Overall, the number of publications and authors in development economics are rising steeply with the average annual growth rate of nearly 23% and 26%, respectively. Moreover, the ‘quality’ of the research appears to be high as 59% of the articles are published in journals in the first and second quartile according Scimago journal ranking. However, the citation counts for these studies indicate their impacts are far more languishing in comparison. In terms of research trends, this study identifi... |
This work addresses the prediction and optimization of average surface roughness (Ra) and maximum flank wear (Vbmax) of 6061 aluminum alloy during high-speed milling. The investigation was done using a DMU 50 CNC 5-axis machine with Ultracut FX 6090 fluid. Four factors were examined: the table feed rate, cutting speed, depth of cut, and cutting length. Three levels of each factor were examined to conduct 81 experiment runs. The response parameters in these experiments were measurements of Ra and Vbmax. |
This short article represents the first attempt to define a new core cultural value that will enable engaging the business sector in humankind’s mission to heal nature. First, I start with defining the problem of the current business culture and the extant thinking on how to solve environmental problems, which I called “the eco-deficit culture.” Then, I present a solution to this problem by formulating the “semiconducting principle” of monetary and environmental values exchange, which I believe can generate “an eco-surplus business culture.” This work adds one new element, the eleventh cultural value, to the ten core values of progressive cultures postulated by Harrison (2000). |
Coronavirus disease 2019 (COVID-19) vaccine acceptance is essential in controlling the virus. Vaccine knowledge influences vaccine acceptance and understanding this is vital in planning immunization strategies |
The COVID-19 pandemic has caused extraordinary disruptions to education systems globally, forcing a rapid switch from conventional to online education. Although some qualitative studies have been carried out exploring the online education experiences of nursing students and faculty members during the COVID-19 pandemic, to our knowledge, no study has used the Photovoice approach |
People counting plays a crucial role in various sensing applications such as in smart cities and shopping malls. In this paper, we propose a data-driven solution that uses a low power ultra-wideband impulse (UWB) radar to count the number of random walking people in an indoor space. A pre-processing signal processing method is applied to clean clutter signals from UWB radar. Instead of the conventional counting methods, which manually extract features and learned from effective data patterns, we investigated deep convolutional neural networks (CNNs) that automatically learn from the data to count the number of people in an indoor space. The CNN model could accurately predict up to 97% accuracy for up to 10 people random walking in an area of 5 × 5 m. The different settings of the CN... |
