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Keywords = Vancouver Harbour

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20 pages, 10031 KiB  
Article
A Modeling Study on the Oil Spill of M/V Marathassa in Vancouver Harbour
by Xiaomei Zhong, Haibo Niu, Yongsheng Wu, Charles Hannah, Shihan Li and Thomas King
J. Mar. Sci. Eng. 2018, 6(3), 106; https://doi.org/10.3390/jmse6030106 - 17 Sep 2018
Cited by 12 | Viewed by 6607
Abstract
The M/V Marathassa oil spill occurred on 8 April 2015 in the English Bay. In the present study, the trajectory and the transport mechanism of the spilled oil have been studied by using the three-dimensional and particle-based Oil Spill Contingency and Response (OSCAR) [...] Read more.
The M/V Marathassa oil spill occurred on 8 April 2015 in the English Bay. In the present study, the trajectory and the transport mechanism of the spilled oil have been studied by using the three-dimensional and particle-based Oil Spill Contingency and Response (OSCAR) model forced by the Finite-Volume Community Ocean Model (FVCOM). FVCOM provided the hydrodynamic variables used by the oil spill model of OSCAR. The results showed that the fraction of the oil on the water surface and on the shoreline, as well as the amount of oil recovered were affected by the time of the initial release, the overall duration of the discharge, wind and recovery actions. The hindcast study of the M/V Marathassa oil spill showed that the likely starting time for the discharge was between 14:00 and 15:00, on 8 April 2015. The release may have lasted for a relatively long time (assumed to be 22 h in this study). The results of modeling in this study were found reasonably acceptable allowing for further application in risk assessment studies in the English Bay and Vancouver Harbour. The trajectory of the spill was mainly controlled by the tidal currents, which were strongly sensitive to the local coastline and topography of First Narrows and that in the central harbour. The model results also suggested that a high-resolution model, which was able to resolve abrupt changes in the coastlines and topography, was necessary to simulate the oil spill in the harbour. Full article
(This article belongs to the Special Issue Marine Oil Spills 2018)
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4 pages, 587 KiB  
Article
Relationship of Thyroid Transcription Factor 1 to EGFR Status in Non-Small-Cell Lung Cancer
by B.S. Sheffield, I.E. Bosdet, R.H. Ali, S.S. Young, B.K. McNeil, C. Wong, K. Dastur, A. Karsan and D.N. Ionescu
Curr. Oncol. 2014, 21(6), 305-308; https://doi.org/10.3747/co.21.2148 - 1 Dec 2014
Cited by 8 | Viewed by 891
Abstract
Background: Activating mutations of the epidermal growth factor receptor (EGFR) gene are known to drive a proportion of non-small-cell lung cancers. Identification of lung cancers harbouring such mutations can lead to effective treatment using one of the agents that targets and [...] Read more.
Background: Activating mutations of the epidermal growth factor receptor (EGFR) gene are known to drive a proportion of non-small-cell lung cancers. Identification of lung cancers harbouring such mutations can lead to effective treatment using one of the agents that targets and blocks EGFR-mediated signalling. Methods: All specimens received at the BC Cancer Agency (Vancouver) for EGFR testing were prospectively identified and catalogued, together with clinical information and EGFR status, over a 14-month period. Results: Specimens from 586 patients were received for EGFR testing, and EGFR status was reported for 509 patients. No relationship between specimen type or site of origin and EGFR test failure rate was identified. Concurrent immunohistochemical (IHC) status for thyroid transcription factor 1 (TTF1) was available for 309 patients. The negative predictive value of TTF1-negative status by IHC was 94.2% for predicting negative EGFR status. Conclusions: In patients with limited tissue available for testing, a surrogate for EGFR status would aid in timely management. Immunohistochemistry for TTF1 is readily available and correlates highly with EGFR status. In conjunction with genetic assays, TTF1 could be used to optimize an EGFR testing strategy. Full article
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