Mapping the e-business profile and trends in cost management in the UK construction industry

The advancement of e-business applications and IT infrastructure has had massive impact on construction business processes over the last decade. The added effects of globalisation coupled with global economic recession have forced businesses to implement e-business applications within their organisations. It is clear in all industries, that e-business technologies have become a key strategic vehicle in improving performance. In Construction, e-business applications complement most of the business functions and have removed geographical boundaries resulting in a global construction market with increased competition, increased collaboration and have helped reducing the fragmentation of the industry. However, even though the successes are inevitable, it is scrutinized that the advancement is still constrained within the industry. Thus there is a need to undertake an analysis of current construction e-business usage and attitude of construction professionals towards e-business trends to ensure a productive and beneficial implementation of construction e-business tools within organisations. This study acknowledged the niche for research into current e-business usage in UK construction organisations and aimed to determine and map the use of ICT in construction cost management activities, and explore the attitudes of professionals towards e-business approaches. Initially a comprehensive literature review was carried out together with an online web search to identify what ICT and software packages are being used for construction cost management activities. Results from this review aided in developing the research questionnaire and a detailed an online structured survey was carried out using the chartered quantity surveying organisations within the UK. This paper presents the findings of the survey and discusses the ICT usage within construction organisations for cost management activities and the attitude of construction professionals towards BIM and construction e-business trends

Collective intelligence for translational medicine: Crowdsourcing insights and innovation from an interdisciplinary biomedical research community.

This is the author accepted manuscript. The final version is available from Taylor & Francis via http://dx.doi.org/10.3109/07853890.2015.1091945Translational medicine bridges the gap between discoveries in biomedical science and their safe and effective clinical application. Despite the gross opportunity afforded by modern research for unparalleled advances in this field, the process of translation remains protracted. Efforts to expedite science translation have included the facilitation of interdisciplinary collaboration within both academic and clinical environments in order to generate integrated working platforms fuelling the sharing of knowledge, expertise, and tools to align biomedical research with clinical need. However, barriers to scientific translation remain, and further progress is urgently required. Collective intelligence and crowdsourcing applications offer the potential for global online networks, allowing connection and collaboration between a wide variety of fields. This would drive the alignment of biomedical science with biotechnology, clinical need, and patient experience, in order to deliver evidence-based innovation which can revolutionize medical care worldwide. Here we discuss the critical steps towards implementing collective intelligence in translational medicine using the experience of those in other fields of science and public health

New horizons shaping science, technology and innovation diplomacy: the case of Latin America and the Caribbean and the European Union. EL-CSID Working Paper Issue 2018/20 • August 2018

Europe and the world face a moment of transformation. The global financial crisis wiped out years of economic and social progress, exposed structural weaknesses in world economies and emphasised the importance of the real economies and strong industries. Modernisation and digitalisation of the industrial base together with the promotion of a competitive framework for industry through research, technology and innovation are drivers for recovery. Innovation, and particularly open innovation, is a key factor of global competitiveness. The European Commission (EC) addresses international cooperation policy in a wider framework and adapts to the evolving needs of partner countries at different stages of development (EC, 2018a). Latin America and the Caribbean countries’ (LAC) and the European Union’s (EU) cooperation on science, technology and innovation has a long history based on cultural roots and common concerns. They share a strategic bi-regional partnership, which was launched in 1999 and stepped up significantly in recent years. The two regions co-operate closely at international level across a broad range of issues and maintain an intensive political dialogue at all levels. EU-LAC relationships are moving from a traditional cooperation model towards a learning model, where sharing experiences and learning from innovations appear to be decisive (OECD, 2014). This paper focuses on the challenges that innovation nowadays poses to international relations and diplomacy. It is based on the evidence gained by the research team from participation in several EULAC projects, especially the ELAN Network project coordinated by TECNALIA, the INNOVACT project as well as other projects and activities

Cyber-Virtual Systems: Simulation, Validation & Visualization

We describe our ongoing work and view on simulation, validation and visualization of cyber-physical systems in industrial automation during development, operation and maintenance. System models may represent an existing physical part - for example an existing robot installation - and a software simulated part - for example a possible future extension. We call such systems cyber-virtual systems. In this paper, we present the existing VITELab infrastructure for visualization tasks in industrial automation. The new methodology for simulation and validation motivated in this paper integrates this infrastructure. We are targeting scenarios, where industrial sites which may be in remote locations are modeled and visualized from different sites anywhere in the world. Complementing the visualization work, here, we are also concentrating on software modeling challenges related to cyber-virtual systems and simulation, testing, validation and verification techniques for them. Software models of industrial sites require behavioural models of the components of the industrial sites such as models for tools, robots, workpieces and other machinery as well as communication and sensor facilities. Furthermore, collaboration between sites is an important goal of our work.Comment: Preprint, 9th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2014

Recent progress in QCD at the LHC

Perturbative Quantum Chromodynamics has experienced an impressive progress in the last few years, boosted by the requirements of the LHC experimental program. In this contribution, I briefly review a selection of recent results in QCD and LHC phenomenology, covering progress in parton distribution functions, automation of NLO calculations, merging and matching at NLO, new calculations at NNLO accuracy and their matching to parton showers, and new developments and techniques in jet physics and jet substructure tools.Comment: 10 pages, 3 figures, to appear in the proceedings of the "Rencontres de physique de la Vallee d'Aoste 2014" Conference, La Thuile, Italy, February 201

Mediating Cognitive Transformation with VR 3D Sketching during Conceptual Architectural Design Process

Communications for information synchronization during the conceptual design phase require designers to employ more intuitive digital design tools. This paper presents findings of a feasibility study for using VR 3D sketching interface in order to replace current non-intuitive CAD tools. We used a sequential mixed method research methodology including a qualitative case study and a cognitive-based quantitative protocol analysis experiment. Foremost, the case study research was conducted in order to understand how novice designers make intuitive decisions. The case study documented the failure of conventional sketching methods in articulating complicated design ideas and shortcomings of current CAD tools in intuitive ideation. The case study’s findings then became the theoretical foundations for testing the feasibility of using VR 3D sketching interface during design. The latter phase of study evaluated the designers’ spatial cognition and collaboration at six different levels: “physical-actions”, “perceptualac ons”, “functional-actions”, “conceptual-actions”, “cognitive synchronizations”, and “gestures”. The results and confirmed hypotheses showed that the utilized tangible 3D sketching interface improved novice designers’ cognitive and collaborative design activities. In summary this paper presents the influences of current external representation tools on designers’ cognition and collaboration as well as providing the necessary theoretical foundations for implementing VR 3D sketching interface. It contributes towards transforming conceptual architectural design phase from analogue to digital by proposing a new VR design interface. The paper proposes this transformation to fill in the existing gap between analogue conceptual architectural design process and remaining digital engineering parts of building design process hence expediting digital design process

Machine Learning tools for global PDF fits

The use of machine learning algorithms in theoretical and experimental high-energy physics has experienced an impressive progress in recent years, with applications from trigger selection to jet substructure classification and detector simulation among many others. In this contribution, we review the machine learning tools used in the NNPDF family of global QCD analyses. These include multi-layer feed-forward neural networks for the model-independent parametrisation of parton distributions and fragmentation functions, genetic and covariance matrix adaptation algorithms for training and optimisation, and closure testing for the systematic validation of the fitting methodology.Comment: 12 pages, 9 figures, to appear in the proceedings of the XXIIIth Quark Confinement and the Hadron Spectrum conference, 1-6 August 2018, University of Maynooth, Irelan