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Medicinal chemistry (Shariqah (United Arab Emirates)), Jan 27, 2018
Histone deacetylases (HDAC) enzymes are emerging as potential targets for cancer treatments. In t... more Histone deacetylases (HDAC) enzymes are emerging as potential targets for cancer treatments. In this study several series of novel hydroxamic acids incorporating 1-((1H-1,2,3-triazol-4-yl)methyl)-3-substituted-2-oxoindolines was explored. The compounds were designed using Autodock Vina program, then synthesized and evaluated in vitro and in silico for their inhibitory activity against HDACs. The cytotoxicity was measured by SRB method. The enzyme inhibitory effects of the compounds were evaluated by fluorescent assay. Biological evaluation showed that these hydroxamic acids were generally cytotoxic against four human cancer cell lines (SW620, colon; PC-3, prostate; AsPC-1, pancreas; NCI-H23, lung). Several compounds, e.g. 7g, 11c, and 11g, displayed up to 10-fold more potent than SAHA (suberoylanilide hydroxamic acid, vorinostat) in term of cytotoxicity. The synthesized compounds were also comparably potent to SAHA in inhibiting HDAC2. In particular, compounds 11c displayed potentia...
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
This article is an open access article distributed under the terms and conditions of the Creative... more This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY
This study appraised and compared the performance of process-based hydrological SWAT (soil and wa... more This study appraised and compared the performance of process-based hydrological SWAT (soil and water assessment tool) with a machine learning-based multi-layer perceptron (MLP) models for simulating streamflow in the Upper Indus Basin. The study period ranges from 1998 to 2013, where SWAT and MLP models were calibrated/trained and validated/tested for multiple sites during 1998–2005 and 2006–2013, respectively. The performance of both models was evaluated using nash–sutcliffe efficiency (NSE), coefficient of determination (R2), Percent BIAS (PBIAS), and mean absolute percentage error (MAPE). Results illustrated the relatively poor performance of the SWAT model as compared with the MLP model. NSE, PBIAS, R2, and MAPE for SWAT (MLP) models during calibration ranged from the minimum of 0.81 (0.90), 3.49 (0.02), 0.80 (0.25) and 7.61 (0.01) to the maximum of 0.86 (0.99), 9.84 (0.12), 0.87 (0.99), and 15.71 (0.267), respectively. The poor performance of SWAT compared with MLP might be inf...
Evaluating the variability in long-term rainfall over India with advanced statistical techniques
Acta Geophysica, 2022
Climate change has been a significant subject in recent years all around the world. Statistical a... more Climate change has been a significant subject in recent years all around the world. Statistical analysis of climatic parameters such as rainfall can investigate the actual status of the atmosphere. As a result, this study aimed to look at the pattern of mean annual rainfall in India from 1901 to 2016, considering 34 meteorological subdivisions. The Mann–Kendall (MK) test, Modified Mann–Kendall (MMK) test, Bootstrapped MK (BMK) test, and Innovative Trend Analysis (ITA) were used to find trends in yearly rainfall time-series results. Rainfall forecasting was evaluated using detrended fluctuation analysis (DFA). Because the research comprised 34 meteorological subdivisions, it may be challenging to convey the general climatic conditions of India in a nutshell. The MK, MMK, and BMK tests showed a significant (p < 0.01 to p < 0.1) negative trend in 9, 8, and 9 sub-divisions, respectively. According to the ITA, a negative trend was found in 17 sub-divisions, with 9 sub-divisions showing a significance level of 0.01 to 0.1. The ITA outperformed the other three trend test techniques. The results of DFA showed that 20 sub-divisions would decrease in future rainfall, suggesting that there was a link between past and future rainfall trends. Results show that highly negative or decreasing rainfall trends have been found in broad regions of India, which could be related to climate change, according to the results. ITA and DFA techniques to discover patterns in 34 sub-divisions across India have yet to be implemented. In developing management plans for sustainable water resource management in the face of climate change, this research is a valuable resource for climate scientists, water resource scientists, and government officials.
Assessments of Climate Change and Sea Level Rise Impacts on Flows and Saltwater Intrusion in the Vu Gia - Thu Bon River Basin, Vietnam
APAC 2019, 2019
In recent years, besides the impacts of socio-economic development activities, climate change (in... more In recent years, besides the impacts of socio-economic development activities, climate change (including changes in rainfall and sea level rise) in the Vu Gia - Thu Bon river basin has directly affected water source security in the basin. Floods, droughts, and saline intrusion become irregular and increasingly serious, greatly affecting the supply of irrigation water for agricultural production and domestic use in the basin. In this study, we used a mathematical model to simulate changing flow patterns and saline intrusion in the river system in response to different climate change scenarios. Our modelling results show that the annual flow and the dry season flow in the basin tend to decrease under the pathway RCP 8.5 in the future periods 2030-2050, and the distribution of the flow varies among simulation periods and climate change scenarios. Although future flows at the end of century tend to increase due to the impact of climate change, the simulated results show that saline intrusion also increases in all scenarios. Under the RCP 8.5 pathway, on the Vu Gia river, the salinity concentration isoline of 1 ‰ intrudes into the river from 19.7 to 20.1 km, and 4 ‰ saline isoline from 18.4 to 20.8 km. On the Thu Bon river, the salinity isoline of 1‰ enters into the river from 18.6 to 20.3 km, and from 16.7 - 18.5 km for the salinity isoline of 4 ‰. Our results will be a scientific basis for decision making agencies to identify appropriate development strategies to adapt and mitigate negative impacts of climate change to ensure sustainable development at the basin.
Estimation of agricultural burned affected area using NDVI and dNBR satellite-based empirical models
Journal of Environmental Management
One of the major crucial issues that need worldwide attention is open stubble burning, which impo... more One of the major crucial issues that need worldwide attention is open stubble burning, which imposes a variety of adverse impacts on nature and human society, destroying the world&#39;s biodiversity. Many earth observation satellites render information to monitor and assess agricultural burning activities. In this study, different remotely sensed data (Sentinel-2A, VIIRS) has been employed to estimate the quantitative measurements of agricultural burned areas of the Purba Bardhaman district from October-December 2018. The multi-temporal image differencing techniques and indices (NDVI, NBR, and dNBR) and VIIRS active fires data (VNP14IMGT) have been utilized to spot agricultural burned areas. In the case of the NDVI technique, a prominent area, 184.82 km 2 of agricultural burned area (7.85% of the total agriculture), was observed. The highest (23.04 km 2) burned area was observed in the Bhatar block, located in the middle part of the district, and the lowest (0.11 km 2) burned area was observed in the Purbasthali-II block, which is located in the eastern part of the district. On the other hand, the dNBR technique revealed that the agricultural burned areas enwrap 8.18% of the total agricultural area, which is 192.45 km 2. As per the earlier NDVI technique, the highest agricultural burned areas (24.82 km 2) were observed in the Bhatar block, and the lowest (0.13 km 2) burn area occurred in the Purbashthali-II block. In both cases, it is observed that agricultural residue burning is high in the western part of the Satgachia block and the adjacent areas of the Bhatar block, which is in the middle part of Purba Bardhaman. The agricultural burned area was extracted using different spectral separability analyses, and the performance of dNBR was the most effective in spectral discrimination of burned and unburned surfaces. This study manifested that agricultural residue burning started in the central part of Purba Bardhaman. Later it spread all over the district due to the trend of early harvesting rice crops in this region. The performance of different indices for mapping the burned areas was evaluated and compared, revealing a strong correlation (R2) = 0.98. To estimate the campaign&#39;s effectiveness against the dangerous practice and plan the control of the menace, regular monitoring of crop stubble burning using satellite data is required.
Experimental and numerical modeling of pile-rock breakwater gap arrangement for optimal coastal erosion protection in deltaic coasts
In Southeast Vietnam, droughts have become more frequent, causing significant damage and impactin... more In Southeast Vietnam, droughts have become more frequent, causing significant damage and impacting the region’s socio-economic development. Water shortages frequently affect the industrial and agricultural sectors in the area. This study aims to calculate the water balance and the resilience of existing water resource allocations in the La Nga-Luy River basin based on two scenarios: (1) business-as-usual and (2) following a sustainable development approach. The MIKE NAM and MIKE HYDRO BASIN models were used for rainfall–runoff (R-R) and water balance modeling, respectively, and the Keetch–Byram Drought Index (KBDI) was used to estimate the magnitude of the droughts. The results identified areas within the Nga-Luy River basin where abnormally dry and moderate drought conditions are common, as well as subbasins, i.e., in the southeast and northeast, where severe and extreme droughts often prevail. It was also shown that the water demand for the irrigation of the winter–spring and summ...
The aim of this study was to determine suitable lands for agricultural use in the Yusufeli distri... more The aim of this study was to determine suitable lands for agricultural use in the Yusufeli district of Artvin city (Turkey), where the current agricultural land in the district center and 3 villages will be completely inundated while the land in 22 villages will be partially inundated due to three large dams currently being constructed. The ''Analytic Hierarchy Process (AHP)'' method, commonly used in land use suitability analysis, was utilized in this study. In application, the parameters of great soil group, land use capability class, land use capability sub-class, soil depth, slope, aspect, elevation, erosion degree and other soil properties were used. In determining the weights of the parameters, experts' opinions were consulted, and the agricultural land suitability map generated was divided into 5 categories according to the land suitability classification of the United Nations Food and Agriculture Organization (FAO). After deducting the forests, pastures and reservoir areas from the reclassified suitability map, it was estimated that 0.08% of the study area (177.87 ha) is highly suitable for agricultural production, while 1.55% (3578.33 ha) is moderately suitable and 6.3% (14575.91 ha) is marginally suitable for agricultural production. In addition, it was found that the proportion of land that is currently unsuitable for agricultural production is 2.24% (5183.63 ha), while the amount of land that is permanently unsuitable is 3.42% (7923.39 ha). It was also determined that the following facts were all effective factors in reaching these results: a substantial portion (approximately 85%) of the study area is covered with forests and pastures, the soil depth is inadequate for agricultural production, the slope in the study area is quite high and, accordingly, the erosion degree is high.
Ca Mau and Kien Giang, the two provinces of the Mekong Delta bordering the Gulf of Thailand, are ... more Ca Mau and Kien Giang, the two provinces of the Mekong Delta bordering the Gulf of Thailand, are facing major environmental challenges affecting the agriculture and aquaculture sectors upon which many livelihoods in this region depend on. This study maps the suitability of these two provinces for paddy rice cultivation and shrimp farming according to soil characteristics and current and future environmental conditions for variables found to significantly influence the yield of those two sectors, i.e., the level of saltwater intrusion, water availability for rain-fed agriculture, and the length of the growing period. Future environmental conditions were simulated using the MIKE 11 hydrodynamic model forced by four hydrodynamic scenarios, each one representing different extents of saltwater intrusion during both the dry and rainy seasons, while also considering the availability of water resources for rain-fed agriculture. The suitability zoning was performed using a GIS-based Analytic Hierarchy Process (AHP) approach, resulting in the categorisation of the land according to four suitability levels for each sector. The analysis reveals that paddy rice cultivation will become more suitable to Kien Giang province while shrimp farming will be more suitable to Ca Mau province if the simulated future environmental conditions materialise. A suitability analysis is essential for optimal utilisation of the land. The approach presented in this study will inform the regional economic development master plan and provide guidance to other delta regions experiencing severe environmental changes and wishing to consider potential future climatic and sea level changes, and their associated impacts, in their land use planning
Land use and climate change always induce significant changes in various parameters of the hydrol... more Land use and climate change always induce significant changes in various parameters of the hydrologic cycle (e.g., surface runoff, infiltration, evapotranspiration). The Wadi El-Assiuti downstream area in the Eastern Desert of Egypt is one of the most promising areas for development that is suffering from insufficient water availability and inadequate water quality for different purposes. The main goal of this research is to evaluate the changes in groundwater quality, land use, and climate in association with geology and flooding during three periods within the years 1997–2019 in the downstream portion of Wadi El-Assiuti in the Eastern Desert of Egypt, using spatiotemporal variation associated with groundwater hydrochemical analysis and GIS techniques. About 133 groundwater samples were collected to examine groundwater quality changes over time. Different groundwater quality indices were calculated, and the results show that TDS levels of groundwater in the study area ranged betwee...
Water resources, land and soil degradation, desertification, agricultural productivity, and food ... more Water resources, land and soil degradation, desertification, agricultural productivity, and food security are all adversely influenced by drought. The prediction of meteorological droughts using the standardized precipitation index (SPI) is crucial for water resource management. The modeling results for SPI at 3, 6, 9, and 12 months are based on five types of machine learning: support vector machine (SVM), additive regression, bagging, random subspace, and random forest. After training, testing, and cross-validation at five folds on sub-basin 1, the results concluded that SVM is the most effective model for predicting SPI for different months (3, 6, 9, and 12). Then, SVM, as the best model, was applied on sub-basin 2 for predicting SPI at different timescales and it achieved satisfactory outcomes. Its performance was validated on sub-basin 2 and satisfactory results were achieved. The suggested model performed better than the other models for estimating drought at sub-basins during ...
The coastline in the Ca Mau and the Kien Giang provinces of the Vietnamese Mekong Delta has been ... more The coastline in the Ca Mau and the Kien Giang provinces of the Vietnamese Mekong Delta has been severely eroded in recent decades. Pile-Rock Breakwaters (PRBW) are one of the most widely adopted structures for controlling shoreline erosion in this region. These structures are effective for wave energy dissipation, stimulating sediment accumulation, and facilitating the restoration of mangrove forests. These breakwaters are generally considered to be best-engineering practice however there is currently insufficient scientific evidence with regard to specific structural design aspects. This can lead to PRBW structures being compromised when deployed in the field. This study uses a physical model of a PRBW in a laboratory to investigate several design parameters, including crest width and working states (i.e. submerged, transition, and emerged), and investigates their relationship with the wave transmission coefficient, wave reflection coefficient, and wave energy dissipation. To inve...
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Papers by Duong Tran Anh