Ontology-based protein-protein interactions extraction from literature using the hidden vector state model

This paper proposes a novel framework of incorporating protein-protein interactions (PPI) ontology knowledge into PPI extraction from biomedical literature in order to address the emerging challenges of deep natural language understanding. It is built upon the existing work on relation extraction using the Hidden Vector State (HVS) model. The HVS model belongs to the category of statistical learning methods. It can be trained directly from un-annotated data in a constrained way whilst at the same time being able to capture the underlying named entity relationships. However, it is difficult to incorporate background knowledge or non-local information into the HVS model. This paper proposes to represent the HVS model as a conditionally trained undirected graphical model in which non-local features derived from PPI ontology through inference would be easily incorporated. The seamless fusion of ontology inference with statistical learning produces a new paradigm to information extraction.

Citizens, consumers and stakeholders in European health policy

In this chapter we track emerging issues in public participation and involvement in European policymaking. We focus on the politics, legitimacy and accountability of different actors as well as exploring how European participation processes relate to globalization in general and global and regional governance in particular. Health policies tend to be understood as national or even local, yet they are often shaped and defined by regulatory decisions and policies that are determined globally and regionally.

'Your situation is critical...':the discursive enactment of leadership by business women in Middle Eastern and Western European contexts

Women remain in a small minority as business leaders in both Middle Eastern (ME) and Western European (WE) regions, and indeed, past research indicates that ME women face even greater challenges as leaders than their Western counterparts. This article explores sample findings from two separate case studies, the first of a ME woman leader and the second of a WE woman leader, each conducting a management meeting with their teams. Using interactional sociolinguistic analysis, we examine the 'contextualisation cues' that index how each woman performs leadership in their respective meetings. We found that both women utilise relational practices in order to enact leadership with their subordinates, but with varying results. Whereas the ME leader deploys a confident and commanding interactional style with her colleagues, the WE leader's style is evasive and uncertain. On the basis of these two cases, the WE leader appears to face greater challenges in a male-dominated business world than the ME leader. Whereas the ME leader can rely on long-established ties of loyalty and organisation-as-family, the Western leader, within an apparently more open, democratic context, has to negotiate overwhelming turbulence and change within her company. © 2014, equinox publishing.

Isolation and characterisation of bacteria associated with flying insects in hospitals, with particualr emphasis on Clostridum difficile

Clostridium difficile is a bacterial healthcare-associated infection, which houseflies Musca domestica may transfer due to their synanthropic nature. The aims of this thesis were to determine the ability of M. domestica to transfer C. difficile mechanically and to collect and identify flying insects in UK hospitals and classify any associated bacteria. M. domestica exposed to independent suspensions of vegetative cells and spores of C. difficile were able to mechanically transfer the bacteria on to agar for up to 4 hours following exposure. C. difficile could be recovered from fly excreta for 96hrs and was isolated from the M. domestica alimentary canal. Also confirmed was the carriage of C. difficile by M. domestica larvae, although it was not retained in the pupae or in the adults that subsequently developed. Flying insects were collected from ultra-violet light flytraps in hospitals. Flies (order Diptera) were the most commonly identified. Chironomidae were the most common flies, Calliphora vicina were the most common synanthropic fly and ‘drain flies’ were surprisingly numerous and represent an emerging problem in hospitals. External washings and macerates of flying insects were prepared and inoculated onto a variety of agars and following incubation bacterial colonies identified by biochemical tests. A variety of flying insects, including synanthropic flies (e.g. M. domestica and C. vicina) collected from UK hospitals harboured pathogenic bacteria of different species. Enterobacteriaceae were the group of bacteria most commonly isolated, followed by Bacillus spp, Staphylococci, Clostridia, Streptococci and Micrococcus spp. This study highlights the potential for M. domestica to contribute to environmental persistence and spread of C. difficile in hospitals. Also illustrated is the potential for flying insects to contribute to environmental persistence and spread of other pathogenic bacteria in hospitals and therefore the need to implement pest control as part of infection control strategies.

Entrepreneurship in the neighborhood:shifting patterns of economic activities in residential neighborhoods in five dutch cities

Cities are oftentimes seen as undergoing a process of "emergence" in the "new economy." However, this process has largely remained empirically underdetermined. This article examines the intra-city geography of emerging businesses in newly dominant sectors of the urban economy. The change in dominant sectors coincides with a shift towards small- and medium-sized businesses, creating new economic opportunities for urban residential areas. The residential neighborhood is introduced as a place where supply and demand side drivers operate to attract or limit such new economic activity. Allen Scott's perspective of the cognitive-cultural economy is used to analyze which neighborhoods are flourishing sites of the cognitive-cultural sectors. His perspective on industries that are on the rise in urban environments and their growth potential proves very valuable. Social demographic characteristics on the level of the neighborhood are used as predictors of the composition of the local economy. The analyses show that in particular wealthy, gentrified neighborhoods are more prone than others to becoming "hubs" of the cognitive-cultural economy. However, disadvantaged neighborhoods may under certain conditions serve as incubators for business start-ups as they offer low-rent office spaces. This has important consequences for their future economic growth potential as well as the distribution of successful businesses in the city. © 2013 Urban Affairs Association.

Multiscale modelling:approaches and challenges

Multiscale systems that are characterized by a great range of spatial–temporal scales arise widely in many scientific domains. These range from the study of protein conformational dynamics to multiphase processes in, for example, granular media or haemodynamics, and from nuclear reactor physics to astrophysics. Despite the diversity in subject areas and terminology, there are many common challenges in multiscale modelling, including validation and design of tools for programming and executing multiscale simulations. This Theme Issue seeks to establish common frameworks for theoretical modelling, computing and validation, and to help practical applications to benefit from the modelling results. This Theme Issue has been inspired by discussions held during two recent workshops in 2013: ‘Multiscale modelling and simulation’ at the Lorentz Center, Leiden (http://www.lorentzcenter.nl/lc/web/2013/569/info.php3?wsid=569&venue=Snellius), and ‘Multiscale systems: linking quantum chemistry, molecular dynamics and microfluidic hydrodynamics’ at the Royal Society Kavli Centre. The objective of both meetings was to identify common approaches for dealing with multiscale problems across different applications in fluid and soft matter systems. This was achieved by bringing together experts from several diverse communities.

Enhancing visibility in EPCIS governing agri-food supply chains via linked pedigrees

Data integration for the purposes of tracking, tracing and transparency are important challenges in the agri-food supply chain. The Electronic Product Code Information Services (EPCIS) is an event-oriented GS1 standard that aims to enable tracking and tracing of products through the sharing of event-based datasets that encapsulate the Electronic Product Code (EPC). In this paper, the authors propose a framework that utilises events and EPCs in the generation of "linked pedigrees" - linked datasets that enable the sharing of traceability information about products as they move along the supply chain. The authors exploit two ontology based information models, EEM and CBVVocab within a distributed and decentralised framework that consumes real time EPCIS events as linked data to generate the linked pedigrees. The authors exemplify the usage of linked pedigrees within the fresh fruit and vegetables supply chain in the agri-food sector.

Provision of Mobile Learning in Higher Schools

Report published in the Proceedings of the National Conference on "Education in the Information Society", Plovdiv, May, 2013

Precompetitive data sharing as a catalyst to address unmet needs in Parkinson's disease

Parkinson's disease is a complex heterogeneous disorder with urgent need for disease-modifying therapies. Progress in successful therapeutic approaches for PD will require an unprecedented level of collaboration. At a workshop hosted by Parkinson's UK and co-organized by Critical Path Institute's (C-Path) Coalition Against Major Diseases (CAMD) Consortiums, investigators from industry, academia, government and regulatory agencies agreed on the need for sharing of data to enable future success. Government agencies included EMA, FDA, NINDS/NIH and IMI (Innovative Medicines Initiative). Emerging discoveries in new biomarkers and genetic endophenotypes are contributing to our understanding of the underlying pathophysiology of PD. In parallel there is growing recognition that early intervention will be key for successful treatments aimed at disease modification. At present, there is a lack of a comprehensive understanding of disease progression and the many factors that contribute to disease progression heterogeneity. Novel therapeutic targets and trial designs that incorporate existing and new biomarkers to evaluate drug effects independently and in combination are required. The integration of robust clinical data sets is viewed as a powerful approach to hasten medical discovery and therapies, as is being realized across diverse disease conditions employing big data analytics for healthcare. The application of lessons learned from parallel efforts is critical to identify barriers and enable a viable path forward. A roadmap is presented for a regulatory, academic, industry and advocacy driven integrated initiative that aims to facilitate and streamline new drug trials and registrations in Parkinson's disease.

Managing human resources in Asia-Pacific

Given the enormous economic and developmental changes being experienced by nations in the Asia-Pacific region, and the related movement of people between and across countries, it is critical that we better understand the HRM policies and practices of these nations. The latest instalment in the Global HRM series, Managing Human Resources in Asia-Pacific (2E) presents the HRM situations in a number of South-East Asian and Pacific Rim countries, highlighting the growth of the personnel and HR function, the dominant HRM system(s) in the area, the influence of different factors on HRM, and the challenges faced by HR functions in these nations. This edition extends its coverage to Cambodia, Fiji, Indonesia, and the Philippines; a new chapter discusses HR research challenges in the region, such as the transferability of western constructs, problems with data collection, and the emergence of MNEs from Asia Pacific. © 2014 Taylor & Francis.

The challenges faced by reporting entities on their transition to international financial reporting standards:a qualitative study

This study explores the challenges of implementing International Financial Reporting Standards (IFRS) at the organisational level. Based on interviews with experts with aggregated experience relating to the transition projects of over 170 reporting entities, this paper highlights the main challenges in delivering a successful implementation of IFRS. The findings show that the problems faced in implementation include lack of education and training, securing executive-level support, identifying and responding to the wider business-related implications of the transition, and issues with capturing the necessary information for reporting under IFRS.This paper complements the existing literature and offers a qualitative alternative to considering the transition to IFRS, offering insight into the organisational context of IFRS implementation. These insights are useful not only from a historic perspective, but also for organisations and regulators in the many jurisdictions where IFRS is permitted but not required, where more reporting entities will voluntarily move to IFRS-based reporting in the future. More broadly, they are also applicable to the challenges faced in implementing new and significantly revised IFRSs.

Growth, uniformity, local responsiveness, and system-wide adaptation in multiunit franchising

Using the resource-based view framework, we investigate the link between multiunit franchising (MUF) and performance on four key challenges in franchise chain management: growth, uniformity, local responsiveness, and system-wide adaptation. Our findings support the assertion that system growth is positively related to MUF rate within a system, in particular in relation to geographic expansion. Interestingly, while uniformity does not seem to be related to MUF rate, we find marginal support for an inverted u-shaped relationship between system-wide adaptation and MUF rate. Furthermore, the data suggest that local responsiveness and MUF rate are related in a u-shaped function.

2nd workshop on designing with older adults:towards a complete methodology

The ageing process can interfere considerably with the use of mobile devices, e.g. due to changes in vision, attention, and motor control. Designing mobile technology with older adults poses its own challenges. In the absence of a complete methodology for working with older users, researchers and designers are often left to improvise their own methods. This can result in co-design relationships being compromised and weak design insights emerging. How can we best adapt or modify existing methods for working with this group?

"How prepared are engineering educators to implement active learning?" - The emerging findings

This paper discusses the question of how well prepared Engineering Educators are to implement Active Learning approaches within Higher Education undergraduate Engineering Programmes in Malaysia. As the role of Higher Education has shifted from being that of a 'knowledge provider' to become primarily focused upon 'learning facilitation', so the role of teachers or academic staff has changed in that they have become the key to implementing successful Active Learning. Based upon the emergent findings from a case study conducted at a Malaysian institution of higher education, the paper reveals that the engineering educators within the institution concerned were neither prepared nor ready to implement Active Learning. Indeed, it is evident from the study findings that a huge effort is needed in terms of educational policy and practice to ensure that Malaysian institutions offering engineering education should move efficiently and effectively towards the unilateral adoption of Active Learning approaches.