ORCID Profile
0000-0002-4423-3522
Current Organisations
Cardiff University
,
Birkbeck, University of London
,
University of Warwick
,
Charles Sturt University - Canberra Campus
,
Trade Facilitation Consulting Ltd
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Publications
Resilience orchestration and resilience facilitation: How government can orchestrate the whole UK ports market with limited resources – the case of UK ports resilience
Publisher: Elsevier BV
Date: 04-2019
Disentangling cross-border interactions
Publisher: Emerald
Date: 11-11-2019
DOI: 10.1108/IJLM-10-2018-0255
Abstract: The purpose of this paper is to disentangle the interactions between logistics operators and government stakeholders in cross-border logistics operations with a specific focus on the UK and Brazil. The research builds on supporting literature. The comparative cases of the UK and Brazil are examined by reference to an extensive series of focus group workshops as well as a series of interviews with key informants. Care was taken to make sure that comprehensive engagement the respective business and government communities were in place, and that there were opportunities to feedback on the analysis. Suggestions were provided on how to improve the business–government interactions in cross-borders logistics operations. The analysis considered transaction costs and scope for trade facilitation. The research also helped produce a descriptive model of business–government interactions in cross-border logistics operations. The paper points to new directions in the understanding of how businesses interact with government agencies, and the kind of issues they face in cross-border logistics operations. However, the research only looked at two countries and there is significant scope for further enquiry within the logistics literature. Reduced transaction costs at the border and subsequent economic opportunities for the UK and Brazil. A list of practical reform recommendations informed by the business communities of the UK and Brazil. This paper’s original contribution to the literature is its framework for the analysis of transaction costs associated with the business–government interactions in cross-border logistics operations. In addition to the resulting findings in Brazil and the UK it may serve as a template for research elsewhere.
Multi-level port resilience planning in the UK: How can information sharing be made easier?
Publisher: Elsevier BV
Date: 08-2017
Feeding the Data Monster: Data Science in Head and Neck Cancer for Personalized Therapy
Publisher: Elsevier BV
Date: 12-2019
DOI: 10.1016/J.JACR.2019.05.045
Abstract: Head and neck carcinomas are clinically challenging malignancies because of tumor heterogeneities and resilient tumor subvolumes that require in idualized treatment planning and delivery for an improved outcome. Although current approaches to diagnosis and therapy have boosted locoregional control, the long-term survival in this patient group remains unchanged over the last decades. A new approach to head and neck cancer management is therefore needed to better identify patient subgroups that are responsive to specific therapies. The aim of this article is to review the current status of knowledge and practice utilizing big data toward personalized therapy in head and neck cancers based on CT and PET imaging modalities. Literature published in English since 2000 was searched using Medline. Additional articles were retrieved via pearling of identified literature. Publications were reviewed and summarized in tabulated format. Studies based on big data in head and neck cancer are limited however, the field of radiomics is under continuous development and provides valuable input for personalized treatment. Using PET/PET CT biomarkers for patient treatment in idualization and response prediction seems promising, especially in regard to detection of hypoxia and clonogenic cancer stem cells. Literature shows that macroscopic changes in medical images (whether structural or functional) are correlated with biologic and biochemical changes within a tumor. Current trends in data science suggest that the ideal model for decision support in head and neck cancers should be based on human-machine collaboration, namely, on (1) software-based algorithms, (2) physician innovation collaboratives, and (3) clinician mix optimization.
Related Organisations
Cardiff University
Location: United Kingdom of Great Britain and Northern Ireland
Birkbeck, University Of London
Location: United Kingdom of Great Britain and Northern Ireland
University Of Warwick
Location: United Kingdom of Great Britain and Northern Ireland
Trade Facilitation Consulting Ltd
Location: United Kingdom of Great Britain and Northern Ireland
University Of Nottingham Business School
Location: United Kingdom of Great Britain and Northern Ireland
Related Funding Activities
IDEAS Factory - Risk Taking For Resilience
Start Date: 2010
End Date: 2013
Funder: Engineering and Physical Sciences Research Council
View Funded Activity