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Hanoi, Vietnam

Water Resources University is a university in Hanoi, Vietnam. The university was established in 1959 as the Electricity Water Resources Academy, spun off from the mother university Hanoi University of Technology. The university now has three campuses in Hanoi with a large campus in Ho Chi Minh City and a campus in Phan Rang-Tháp Chàm, Ninh Thuan Province. The university offers undergraduate and postgraduate programs in: water resources management, dam construction, irrigation, flood control, environmental management, civil construction, and hydroelectricity. Wikipedia.

Thirty year normal (1981-2010) monthly latent heat fluxes (ET) over the conterminous United States were estimated by a modified Advection-Aridity model from North American Regional Reanalysis (NARR) radiation and wind as well as Parameter-Elevation Regressions on Independent Slopes Model (PRISM) air and dew-point temperature data. Mean annual ET values were calibrated with PRISM precipitation (P) and validated against United States Geological Survey runoff (Q) data. At the six-digit Hydrologic Unit Code level (sample size of 334) the estimated 30 year normal runoff (P - ET) had a bias of 18 mm yr-1, a root-mean-square error of 96 mm yr-1, and a linear correlation coefficient value of 0.95, making the estimates on par with the latest Land Surface Model results but without the need for soil and vegetation information or any soil moisture budgeting. © 2015. American Geophysical Union. Source

Le D.-H.,Water Resources University | Kwon Y.-K.,University of Ulsan
Computational Biology and Chemistry

Finding genes associated with a disease is an important issue in the biomedical area and many gene prioritization methods have been proposed for this goal. Among these, network-based approaches are recently proposed and outperformed functional annotation-based ones. Here, we introduce a novel Cytoscape plug-in, GPEC, to help identify putative genes likely to be associated with specific diseases or pathways. In the plug-in, gene prioritization is performed through a random walk with restart algorithm, a state-of-the art network-based method, along with a gene/protein relationship network. The plug-in also allows users efficiently collect biomedical evidence for highly ranked candidate genes. A set of known genes, candidate genes and a gene/protein relationship network can be provided in a flexible way. © 2012 Elsevier Ltd. Source

Li H.,Temple University | Boufadel M.C.,Water Resources University
Nature Geoscience

Oil spilled from the tanker Exxon Valdez in 1989 (refs1, 2) persists in the subsurface of gravel beaches in Prince William Sound, Alaska. The contamination includes considerable amounts of chemicals that are harmful to the local fauna3. However, remediation of the beaches was stopped in 1992, because it was assumed that the disappearance rate of oil was large enough to ensure a complete removal of oil within a few years. Here we present field data and numerical simulations of a two-layered beach with a small freshwater recharge in the contaminated area, where a high-permeability upper layer is underlain by a low-permeability lower layer. We find that the upper layer temporarily stored the oil, while it slowly and continuously filled the lower layer wherever the water table dropped below the interface of the two layers, as a result of low freshwater recharge from the land. Once the oil entered the lower layer, it became entrapped by capillary forces and persisted there in nearly anoxic conditions that are a result of the tidal hydraulics in the two-layered beaches. We suggest that similar dynamics could operate on tidal gravel beaches around the world, which are particularly common in mid- and high-latitude regions4,5, with implications for locating spilled oil and for its biological remediation. © 2010 Macmillan Publishers Limited. All rights reserved. Source

Le D.-H.,University of Ulsan | Le D.-H.,Water Resources University | Kwon Y.-K.,University of Ulsan

Motivation: Many studies have investigated the relationship between structural properties and dynamic behaviors in biological networks. In particular, feedback loop (FBL) and feedforward loop (FFL) structures have received a great deal of attention. One interesting and common property of FBL and FFL structures is their coherency of coupling. However, the role of coherent FFLs in relation to network robustness is not fully known, whereas that of coherent FBLs has been well established.Results: To establish that coherent FFLs are abundant in biological networks, we examined gene regulatory and signaling networks and found that FFLs are ubiquitous, and are in a coherently coupled form. This result was also observed in the species-based signaling networks that are integrated from KEGG database. By using a random Boolean network model, we demonstrated that these coherent FFLs can improve network robustness against update-rule perturbations. In particular, we found that coherent FFLs increase robustness because these structures induce downstream nodes to be robust against update-rule perturbations. Therefore, coherent FFLs can be considered as a design principle of human signaling networks that improve network robustness against update-rule perturbations. © 2013 The Author Published by Oxford University Press. All rights reserved. Source

Ardhuin F.,French Research Institute for Exploitation of the Sea | Roland A.,Water Resources University
Journal of Geophysical Research: Oceans

Coastal reflection is introduced in a phase-averaged numerical wave model, first with a constant coefficient, and then with a reflection coefficient defined from the shoreface slope and that depends on the incident wave height and mean frequency. This parameterization is used in both regular and unstructured grids. The calibration involves a site-specific shoreface slope that is associated with the local geomorphology of the shoreline. Using wave buoy data off Hawaii and the U.S. West Coast, it is found that coastal reflection is necessary to reproduce observed directional properties of coastal sea states. Errors on the mean directional spread are reduced by up to 30% for the frequency band 0.04 to 0.30 Hz with, at most locations, very little impact on the mean direction and energy levels. The most accurate results are obtained using the parameterization based on the shoreface slope, provided that this slope is estimated accurately. These parameterizations are validated using seismic noise data. Using data from the U.S. West Coast it is shown that the reflection defined from the shoreface slope can improve the correlation between measured and modeled seismic noise. © 2012 American Geophysical Union. All Rights Reserved. Source

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