• Proceedings of the Korean Magnestics Society Conference
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• 2008.12a
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• pp.78.2-78.2
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• 2008

• Land and Housing Review
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• v.8 no.2
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• pp.91-102
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• 2017

This paper discusses how urban regeneration can be used to drive economic competitiveness using the case study of Liverpool One, in Liverpool, United Kingdom. With a process which began in 1999, Liverpool One resulted in over 42 hectares of land being redeveloped as part of a wholesale rejuvenation of Liverpool City Centre. This contributed to Liverpool becoming the fastest growing UK region outside of London. In discussing Liverpool One, the paper outlines some of the planning challenges faced during its construction and what this successful regeneration project now means for those seeking to develop within the city centre, whilst drawing out some of the lessons international planners and developers might learn from Liverpool.

• The Bulletin of The Korean Astronomical Society
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• v.32 no.1
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• pp.73.1-73.1
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• 2007

• Korean Journal of Health Education and Promotion
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• v.30 no.2
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• pp.93-103
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• 2013

Objectives: This study was to compare two healthy cities, Liverpool in England and Wonju in Korea, which evaluated healthy city projects and to reorient evaluation strategy which fits into Korean Healthy cities. Methods: Comparatives analysis was used by reviewing documents, healthy city plan and evaluation report, of two cities. Results: Healthy city projects in two cities, fifteen programs were identical items among twenty-seven but there were differences in seven items for Liverpool and five items for Wonju. In Liverpool evaluation was done by a stakeholder group called Liverpool Local Involvement Network(LINK), while in Wonju by Yonsei Healthy City Research Center. The evaluation tool was two types; quantitative and qualitative analysis. Liverpool mostly used qualitative and added quantitative, vice versa in Wonju. Conclusions: Evaluation plan for Healthy city projects need to be made in the first phase of the projects, instead of in the end. Moreover, it is important to include stakeholder in conducting qualitative analysis for unquantifiable evidence of effectiveness, as well as quantitative analysis.

• Toxicological Research
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• v.33 no.3
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• pp.173-182
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• 2017

In silico methods to predict toxicity include the use of (Quantitative) Structure-Activity Relationships ((Q)SARs) as well as grouping (category formation) allowing for read-across. A challenging area for in silico modelling is the prediction of chronic toxicity and the No Observed (Adverse) Effect Level (NO(A)EL) in particular. A proposed solution to the prediction of chronic toxicity is to consider organ level effects, as opposed to modelling the NO(A)EL itself. This review has focussed on the use of structural alerts to identify potential liver toxicants. In silico profilers, or groups of structural alerts, have been developed based on mechanisms of action and informed by current knowledge of Adverse Outcome Pathways. These profilers are robust and can be coded computationally to allow for prediction. However, they do not cover all mechanisms or modes of liver toxicity and recommendations for the improvement of these approaches are given.

• Nuclear Engineering and Technology
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• v.52 no.9
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• pp.2130-2137
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• 2020

The standard method for calculating anti-neutrino emissions from a reactor involves knowing the fractional fission rates for the most important fissioning nuclides in the reactor. To calculate these rates requires detailed reactor physics calculations based upon the reactor design, fuel design, burnup dependent fuel composition, location of specific fuel assemblies in the core and detailed operational data from the reactor. This has only been published for a few reactors during specific time periods, whereas to be of practical use for anti-neutrino reactor monitoring it is necessary to be able to predict these on the publicly available information from any reactor, especially if using these data to subtract the anti-neutrino signal from other reactors to identify an undeclared reactor and monitor its operation. This paper proposes a method to estimate the fission fractions for a specific reactor based upon publicly available information and provides a database based upon a series of spent fuel inventory calculations using the FISPIN10 code and its associated data libraries.

• Proceedings of the Microbiological Society of Korea Conference
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• 2007.05a
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• pp.65-67
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• 2007

• The Bulletin of The Korean Astronomical Society
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• v.32 no.1
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• pp.39.2-39.2
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• 2007

• BMB Reports
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• v.46 no.3
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• pp.131-138
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• 2013

During cancer progression, bone marrow derived myeloid cells, including immature myeloid cells and macrophages, progressively accumulate at the primary tumour site where they contribute to the establishment of a tumour promoting microenvironment. A marked infiltration of macrophages into the stromal compartment and the generation of a desmoplastic stromal reaction is a particular characteristic of pancreatic ductal adenocarcinoma (PDA) and is thought to play a key role in disease progression and its response to therapy. Tumour associated macrophages (TAMs) foster PDA tumour progression by promoting angiogenesis, metastasis, and by suppressing an anti-tumourigenic immune response. Recent work also suggests that TAMs contribute to resistance to chemotherapy and to the emergence of cancer stem-like cells. Here we will review the current understanding of the biology and the pro-tumourigenic functions of TAMs in cancer and specifically in PDA, and highlight potential therapeutic strategies to target TAMs and to improve current therapies for pancreatic cancer.

• International Journal of Reliability and Applications
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• v.2 no.2
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• pp.99-105
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• 2001

Delay time analysis is a pragmatic mathematical concept readily embraced by engineers which has been developed as a means to model maintenance decision problem. This paper considers an inspection period using delay time analysis for fishing vessel equipment. We assume that delay time has a Weibull distribution. In this paper, we determine the optimal inspection period which minimize the expected downtime per unit time. Explicit solutions for the optimal inspection are presented for illustrative purposes.