Relationship between hyperacute blood pressure and outcome after ischemic stroke: data from the VISTA Collaboration

Background and Purpose—High blood pressure (BP) is associated independently with poor outcome after acute ischemic stroke, although in most analyses “baseline” BP was measured 24 hours or more postictus, and not during the hyperacute period. Methods—Analyses included 1722 patients in hyperacute trials (recruitment 8 hours) from the Virtual Stroke International Stroke Trial Archive (VISTA) Collaboration. Data on BP at enrolment and after 1, 2, 16, 24, 48, and 72 hours, neurological impairment at 7 days (NIHSS), and functional outcome at 90 days (modified Rankin scale) were assessed using logistic regression models, adjusted for confounding variables; results are for 10-mm Hg change in BP. Results—Mean time to enrolment was 3.7 hours (range 1.0 to 7.9). High systolic BP (SBP) was significantly associated with increased neurological impairment (odds ratio, OR 1.06, 95% confidence interval, 95% CI 1.01 to 1.12), and poor functional outcome; odds ratios for both increased with later BP measurements made at up to 24 hours poststroke. Smaller (versus larger) declines in SBP over the first 24 hours were significantly associated with poor NIHSS scores (OR 1.16, 95% CI 1.05 to 1.27) and functional outcome (OR 1.23, 95% CI 1.13 to 1.34). A large variability in SBP was also associated with poor functional outcome. Conclusions—High SBP and large variability in SBP in the hyperacute stages of ischemic stroke are associated with increased neurological impairment and poor functional outcome, as are small falls in SBP over the first 24 hours.

An Ecosystem Approach to Antimicrobial Stewardship: An Ecuadorian-Canadian Collaboration To Design, Implement and Evaluate a Community-Based Intervention

English

Forms of Collaboration in Collaborative Enterprises: An Ontological Model

Part 19: Knowledge Management in Networks

Collaboration de recherche avec les musées, une opportunité pour penser l’appropriation des ressources

OCIM : Office de coopération et d'information muséales

The MATCH project: collaboration between academia and industry

The university sector offers innovative research initiatives which industry should be tapping. Michael Craven, Senior Research Fellow at the University of Nottingham, reports on a unique collaboration between academia and industry that is helping companies assess the value of medical technology.

Collaboration in Virtual Enterprises through the Smart Vortex Suite

Part 12: Collaboration Platforms

A Metamodel for Collaboration Formalization

Part 11: Reference and Conceptual Models

Enterprise Collaboration Framework for Managing, Advancing and Unifying the Functionality of Multiple Cloud-Based Services with the Help of a Graph API

Part 5: Service Orientation in Collaborative Networks

Memorandum of Understanding between Universidad de Cuenca and Chair of Hydroinformatics of the UNESCO-IHE Institute for Water Education Delft, The Netherlands on Collaboration in Education and Research

English

Novel approach to big data collaboration with network operators network function virtualisation (NFV)

The intersection of network function virtualisation (NFV) technologies and big data has the potential of revolutionising today's telecommunication networks from deployment to operations resulting in significant reductions in capital expenditure (CAPEX) and operational expenditure, as well as cloud vendor and additional revenue growths for the operators. One of the contributions of this article is the comparisons of the requirements for big data and network virtualisation and the formulation of the key performance indicators for the distributed big data NFVs at the operator's infrastructures. Big data and virtualisation are highly interdependent and their intersections and dependencies are analysed and the potential optimisation gains resulted from open interfaces between big data and carrier networks NFV functional blocks for an adaptive environment are then discussed. Another contribution of this article is a comprehensive discussion on open interface recommendations which enables global collaborative and scalable virtualised big data applications.

Managing dynamic security networks: towards the strategic managing of cooperation, coordination and collaboration

Security networks are increasing in number and in importance across the security field as a means of providing inter-agency coordination. On the basis of a detailed qualitative study of networks in the field of national security in Australia, this article aims to advance our knowledge of the internal properties of security networks and conditions shaping their performance. It places ‘cooperation’, ‘coordination’ and ‘collaboration’ on a continuum, with cooperation at one end and collaboration at the other end, and aims to illustrate how each of these ‘Cs’ shape the performance of security networks. The central argument is that the performance of security networks increases as the network moves from cooperation to collaboration. Drawing on interviews with senior members of security, law enforcement and intelligence agencies, the article aims to highlight the lessons for how to strategically manage security networks in ways that promote collaboration.