ORCID Profile
0000-0001-9686-875X
Current Organisation
CSIRO Clayton
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Publisher: Informa UK Limited
Date: 08-2013
Publisher: Elsevier BV
Date: 12-2000
Publisher: Informa UK Limited
Date: 03-2013
Publisher: Elsevier BV
Date: 11-2014
Publisher: Springer Science and Business Media LLC
Date: 04-12-2015
Publisher: Springer Science and Business Media LLC
Date: 11-06-2012
Publisher: Springer Science and Business Media LLC
Date: 07-04-2015
Publisher: Elsevier BV
Date: 2016
Publisher: Informa UK Limited
Date: 03-2007
Publisher: Elsevier BV
Date: 10-2012
Publisher: Elsevier BV
Date: 04-2021
Publisher: Trans Tech Publications, Ltd.
Date: 08-2004
Publisher: Informa UK Limited
Date: 09-04-2014
Publisher: Elsevier BV
Date: 03-2012
Publisher: Elsevier BV
Date: 11-1999
Publisher: IOP Publishing
Date: 02-04-2019
Publisher: Elsevier BV
Date: 03-2008
Publisher: MDPI AG
Date: 27-09-2022
DOI: 10.3390/RS14194822
Abstract: Chlorophyll-a is one of the most important water quality parameters that can be observed by satellite imagery. It plays a significant function in the aquatic environments of rapidly developing coastal cities such as Ha Long City, Vietnam. Urban population growth, coal mining, and tourist activities have affected the water quality of Ha Long Bay. This work uses Sentinel-2/Multispectral Instrument (MSI) imagery data to a calibrated ocean chlorophyll 2-band (OC-2) model to retrieve chlorophyll-a (chl-a) concentration in the bay from 2019 to 2021. The variability of chlorophyll-a during seasons over the study area was inter-compared. The chlorophyll-a concentration was mapped by analyzing the time series of water cover on the Google Earth Engine platform. The results show that the OC-2 model was calibrated well to the conditions of the study areas. The calibrated model accuracy increased nearly double compared with the uncalibrated OC-2 model. The seasonal assessment of chl-a concentration showed that the phytoplankton (algae) developed well in cold weather during fall and winter. Spatially, algae grew densely inside and in the surroundings of aquaculture, urban, and tourist zones. In contrast, coal mining activities did not result in algae development. We recommend using the Sentinel-2 data for seawater quality monitoring and assessment. Future work might focus on model calibration with a longer time simulation and more in situ measured data. Moreover, manual atmospheric correction of optical remote sensing is crucial for coastal environmental studies.
Publisher: Elsevier BV
Date: 2015
Publisher: American Society of Civil Engineers (ASCE)
Date: 12-2005
Publisher: Elsevier BV
Date: 03-2018
DOI: 10.1016/J.JVSV.2017.11.002
Abstract: Venous aneurysms are rare entities, with mesenteric venous aneurysms among the rarest reported. We present a case of a 66-year-old man with abdominal pain secondary to an enormous 7.8-cm inferior mesenteric vein aneurysm. In addition, he had evidence of other venous abnormalities, including bilateral leg chronic venous insufficiency and a right varicocele. This appears to be the only reported case of an isolated inferior mesenteric vein aneurysm. Adding to its significance, this aneurysm is among the largest of any mesenteric vein aneurysm reported. Given the rupture risk, laparoscopic ligation above the aneurysm was performed.
Publisher: Elsevier BV
Date: 09-1998
Publisher: Informa UK Limited
Date: 08-06-2021
Publisher: Elsevier BV
Date: 04-2011
Publisher: SAGE Publications
Date: 05-01-2015
Abstract: Mekong Delta Basin (MDB) is vulnerable to extreme climate and hydrological events. The objectives of this review are to understand of water related health effects exacerbated by climate change and the gaps of knowledge on the relationships between climate conditions, water quality, and water-related diseases in the MDB. The findings indicate that a few studies with qualitative emphases on the relationships between climate and water quality have been conducted in MDB, and they are insufficient to describe the pattern of climate-disease relationship. The diseases caused by chemical contaminants in relation to changes of climate conditions are neglected in MDB. We suggest further studies to examine the influence of short-term variation of climate conditions on water quality and water-related diseases for the purpose of public health and medical prevention, and due to the trans-boundary nature of MDB, developing partnership in data sharing and research collaboration among MDBs countries should be prioritized.
Publisher: BMJ
Date: 20-03-2015
Publisher: SAGE Publications
Date: 28-03-2012
Abstract: This paper presents a reliability assessment of railway track buckling during extreme heatwave events. Monte Carlo simulation is used to estimate the probability of track buckling. The effects of important predictor parameters such as the effective buckling length and buckling modes of the rails, as well as the rail temperatures at the time of their installation and during the heatwave are taken into account in the simulation. The results show that the probability of the buckling of tracks during an extreme heatwave similar to the event that took place in Melbourne in January 2009 is about 2/100,000 on average, which is a good estimate of the number of the track segments that were actually observed to have buckled in the Melbourne railway network. This assessment demonstrates a science-based approach to reliability assessment for track buckling during heatwaves.
Publisher: BMJ
Date: 12-2020
DOI: 10.1136/BMJOPEN-2020-040580
Abstract: SARS-CoV-2 (COVID-19) has caused an international pandemic of respiratory illness, resulting in significant healthcare and economic turmoil. To date, no robust vaccine or treatment has been identified. Elemental zinc has previously been demonstrated to have beneficial effects on coronaviruses and other viral respiratory infections due to its effect on RNA polymerase. Additionally, zinc has well-demonstrated protective effects against hypoxic injury—a clear mechanism of end-organ injury in respiratory distress syndrome. We aimed to assess the effect of high-dose intravenous zinc (HDIVZn) on SARS-CoV-2 infection. The end of study analyses will evaluate the reduction of impact of oxygen saturations or requirement of oxygen supplementation. We designed a double-blind randomised controlled trial of daily HDIVZn (0.5 mg/kg) versus placebo. Primary outcome measures are lowest oxygen saturation (or greatest level of supplemental oxygenation) for non-ventilated patients and worst PaO 2 /FiO 2 for ventilated patients. Following power calculations, 60 hospitalised patients and 100 ventilated patients will be recruited to demonstrate a 20% difference. The duration of follow-up is up to the point of discharge. Ethical approval was obtained through the independent Human Research Ethics Committee. Participant recruitment will commence in May 2020. Results will be published in peer-reviewed medical journals. ACTRN126200000454976.
Publisher: Elsevier BV
Date: 10-2021
Publisher: Cambridge University Press (CUP)
Date: 16-04-2015
DOI: 10.1017/S0950268815000709
Abstract: This study examined the temporal and spatial patterns of diarrhoea in relation to hydro-meteorological factors in the Mekong Delta area in Vietnam. A time-series design was applied to examine the temporal pattern of the climate–diarrhoea relationship using Poisson regression models. Spatial analysis was applied to examine the spatial clusters of diarrhoea using Global Moran's I and local indicators of spatial autocorrelation (LISA). The temporal pattern showed that the highest peak of diarrhoea was from weeks 30–42 corresponding to August–October annually. A 1 cm increase in river water level at a lag of 1 week was associated with a small [0·07%, 95% confidence interval (CI) 0·01–0·1] increase in the diarrhoeal rate. A 1 °C increase in temperature at lag of 2 and 4 weeks was associated with a 1·5% (95% CI 0·3−2·7) and 1·1% (95% CI 0·1−2·3) increase in diarrhoeal risk, respectively. Relative humidity and diarrhoeal risk were in nonlinear relationship. The spatial analysis showed significant clustering of diarrhoea, and the LISA map shows three multi-centred diarrhoeal clusters and three single-centred clusters in the research location. The findings suggest that climatic conditions projected to be associated with climate change have important implication for human health impact in the Mekong Delta region.
Publisher: Trans Tech Publications, Ltd.
Date: 08-2004
Publisher: Elsevier BV
Date: 12-2019
Publisher: Elsevier BV
Date: 08-2021
Publisher: Trans Tech Publications, Ltd.
Date: 10-2006
DOI: 10.4028/WWW.SCIENTIFIC.NET/KEM.321-323.294
Abstract: This paper presents the feasibility of an artificial intelligence technique for processing and interpretation of non-destructive evaluation (NDE) data from assessments of engineering structures. The technique used is a learning and reasoning approach with belief network. With this technique, causal factors and consequent indicators in the data structure in relation with structure/material condition can be modelled, and their causal relationship can be established using the NDE data as the learning resource. Fundamentals of the technique are briefly presented, and then the potential applications of the technique to NDE data are demonstrated in two case studies.
Publisher: Elsevier BV
Date: 03-2008
Publisher: Informa UK Limited
Date: 2009
Publisher: Informa UK Limited
Date: 2009
Publisher: Agriculture Publishing House
Date: 2014
Publisher: MDPI AG
Date: 07-02-2022
DOI: 10.3390/W14030487
Abstract: An assessment of varying density, species composition and dynamics of phytoplankton in a combined rice-shrimp culture was carried out in My Xuyen district, Soc Trang province in the Vietnamese Mekong delta. Water was s led six times at six separate locations within the culture system, on days 1, 20, 34, 57, 68, and day 81 of the rice-shrimp crop cycle. The results showed the abundance of 95 phytoplankton species belonging to five phyla including Cyanophyta, Chlorophyta, Bacillariophyta, Euglenophyta, and Pyrrophyta. The values of Shannon–Wiener index indicated high phytoplankton ersity, while the water quality ranged from medium to good. A Cluster Analysis showed that the phytoplankton density variation can be ided into three distinct periods. The initial phase of crop growth was dominated by Pandorina morum, Pediastrum simplex, Eudorina elegans, Oscillatoria limosa, and Anabaena circinalis. The midstage, reproductive phase of crop growth was dominated by Scenedesnus acuminatus, Pediastrum duplex, Closterinm setaceum, Scenedesnus quadricauda, and Actinastnum hantzschii. Whereas Scenedesnus acuminatus, Scenedesnus quadricauda, Closterinm closterioides, Staurastrum arcuatum, Euglena nhrenbergii, and Phacus lnsmorensis were dominant at the end of crop cycle. The findings provide useful information on phytoplankton assemblages in a typical rice-shrimp culture, which has recently gained popularity as an adaptive livelihood system.
Publisher: MDPI AG
Date: 07-08-2021
DOI: 10.3390/SU13168848
Abstract: Humans are moving into urban areas at an accelerated pace. An increasing urban population fuels urban expansion and reduces nearby agricultural lands and natural environments such as forests, sw s, other water-pervious areas. Unsustainable development creates a disproportion between the growth of urban areas and the growth in urban population. The UN SDG indicator 11.3.1 specifically addresses the issue of the measurement of land-use efficiency. While the metric and methodology to estimate the indicator are straightforward, it faces problems of data unavailability and inconsistency. Vietnam has a record of tremendous economic growth that has translated into more urban settlements of size. Consequently, rural population movement into urban areas has led to many urban sustainable planning and development challenges. In the absence of previous work on estimating land-use efficiency in Vietnamese cities, this study makes the first attempt to examine land-use efficiency in Ha Long, one of the country’s fast-growing cities in recent decades. We mapped land use from high-resolution Landsat imagery (30 m) spanning multi-decadal observations from 1986 to 2020. An advanced machine learning approach, the Support Vector Machine algorithm, was applied to estimate the built-up area, which, by integration with census data, is essential for calculating SDG indicator 11.3.1. This study shows that the land-use efficiency metric was positive but small at the beginning of the considered period but increased in 2000–2020. These results suggest that before 2000, the urban land consumption rate in Ha Long was lower than the population growth rate, implying denser urban land use. The situation changed to the opposite when the urban land consumption rate exceeded the population growth rate in the past two decades. The study’s approach is applicable to regional and district levels to provide comparative analyses between cities or parts of a region or districts of the city. These analyses are valuable tools for assessing the impact of local urban and municipal planning policies on urban development.
Publisher: Mary Ann Liebert Inc
Date: 05-2018
No related grants have been discovered for Minh Nguyen.