Current outcomes of blunt open pelvic fractures: how modern advances in trauma care may decrease mortality.

Background:Open pelvic fracture, caused by a blunt mechanism, is an uncommon injury with a high mortality rate. In 2008, evidence-based algorithm for managing pelvic fractures in unstable patients was published by the Western Trauma Association (WTA). The use of massive transfusion protocols has become widespread as has the availability and use of pelvic angiography. The purpose of this study was to evaluate the outcome of open pelvic fractures in association with related advances in trauma care. Methods:A retrospective review was performed, at an American College of Surgeon verified level I trauma center, of patients with blunt open pelvic fractures from January 2010 to April 2016. The WTA algorithm, including massive transfusion protocol, and pelvic angiography were uniformly used. Data collected included injury severity score, demographic data, transfusion requirements, use of pelvic angiography, length of stay, and disposition. Data were compared with a similar study from 2005. Results:During the study period, 1505 patients with pelvic fractures were analyzed; 87 (6%) patients had open pelvic fractures. Of these, 25 were from blunt mechanisms and made up the study population. Patients in both studies had similar injury severity scores, ages, Glasgow Coma Scale, and gender distributions. Use of angiography was higher (44% vs. 16%; P=0.011) and mortality was lower (16% vs. 45%; P=0.014) than in the 2005 study. Conclusions:Changes in trauma care for patients with open blunt pelvic fracture include the use of an evidence-based algorithm, massive transfusion protocols and increased use of angioembolization. Mortality for open pelvic fractures has decreased with these advances. Level of evidence:Level IV

Advanced Visualizations Tools for CERN Institutional Data

Project Specification: The aim of this openlab summer student project is to provide intuitive and powerful visualisation tools for key institutional data about CERN, including budgets and contracts. The project will be done in collaboration with the Open Knowledge Foundation under the framework of CERN's open data policy regarding scientific results from LHC. The student will use the model-view-controller web development framework with Flask/HTML5/jQuery/TwitterBootstrap technologies for the user interface and SQLAlchemy ORM for database persistence. Abstract: CERN’s Open Access Policy says that “all results of its experimental and theoretical work shall be published or otherwise made generally available”. Following that, CERN has reached a collaboration agreement with the Open Knowledge Foundation in order for CERN to publish and visualize institutional data. As part of this collaboration, we will develop a module for showing this data in a graphical way in the CERN side and a tool in the Open Knowledge Foundation site for automatizing the input of data

Student perspectives on the use of their data: between intrusion, surveillance and care

The Open University (OU) is a large, open distance learning institution with more than 200,000 students. In common with many other higher education institutions (HEIs), the University is looking more closely at its use of learning analytics. Learning analytics has been defined as the collection and analysis of data generated during the learning process in order to improve the quality of learning and teaching (Siemens, Dawson, & Lynch, 2013). In the context of the Open University, learning analytics is the use of raw and analysed student data to, inter alia, proactively identify interventions which aim to support students in completing their study goals. Such interventions may be designed to support students as individuals as well as at a cohort level. The use of a learning analytics approach to inform and provide direction to student support within the Open University is relatively new and, as such, existing policies relating and referring to potential uses of student data have required fresh scrutiny to ensure their continued relevance and completeness (Prinsloo & Slade, 2013). In response, The Open University made the decision to address a range of ethical issues relating to the University’s approach to learning analytics via the implementation of new policy. In order to formulate a clear policy which reflected the University’s mission and key principles, it was considered essential to consult with a wide range of stakeholders, including students

How dangerous is your life? Personalising Government open crime data

This paper discusses the use of Government Open Data and how public services based on this data can and should encourage data personalisation. We present our case study Fearsquare, an application that allows people to interact with public UK crime statistics in a way that is specific to their own, individual, everyday life by leveraging the popular social media service FourSquare. This service is used as an example of how Open Data can be tailored for used in the field of personal informatics. Results suggest that the ability to personalise Government Open Crime Data using Foursquare user location history data provides an added value to an already publically available dataset

The LIGO Open Science Center

The LIGO Open Science Center (LOSC) fulfills LIGO's commitment to release, archive, and serve LIGO data in a broadly accessible way to the scientific community and to the public, and to provide the information and tools necessary to understand and use the data. In August 2014, the LOSC published the full dataset from Initial LIGO's "S5" run at design sensitivity, the first such large-scale release and a valuable testbed to explore the use of LIGO data by non-LIGO researchers and by the public, and to help teach gravitational-wave data analysis to students across the world. In addition to serving the S5 data, the LOSC web portal (losc.ligo.org) now offers documentation, data-location and data-quality queries, tutorials and example code, and more. We review the mission and plans of the LOSC, focusing on the S5 data release.Comment: 8 pages, 1 figure, proceedings of the 10th LISA Symposium, University of Florida, Gainesville, May 18-23, 2014; final published version; see losc.ligo.org for the S5 data release and more information about the LIGO Open Science Cente

Full Open Population Capture-Recapture Models with Individual Covariates

Traditional analyses of capture-recapture data are based on likelihood functions that explicitly integrate out all missing data. We use a complete data likelihood (CDL) to show how a wide range of capture-recapture models can be easily fitted using readily available software JAGS/BUGS even when there are individual-specific time-varying covariates. The models we describe extend those that condition on first capture to include abundance parameters, or parameters related to abundance, such as population size, birth rates or lifetime. The use of a CDL means that any missing data, including uncertain individual covariates, can be included in models without the need for customized likelihood functions. This approach also facilitates modeling processes of demographic interest rather than the complexities caused by non-ignorable missing data. We illustrate using two examples, (i) open population modeling in the presence of a censored time-varying individual covariate in a full robust-design, and (ii) full open population multi-state modeling in the presence of a partially observed categorical variable

Open Bibliography

Poster presented at the VSMF Symposium held at the Unilever Centre on 2011-01-17.More research is published currently than can be understood or followed by a researcher without the aid of a computer. We need Open shareable information on research publications, an Open Bibliography, to build the services that enable researchers to explore their field and discover the research they need. Producers of bibliographic data such as libraries, publishers, universities, scholars or social reference management communities have an important role in supporting the advance of humanity's knowledge. For society to reap the full benefits from bibliographic endeavours, it is imperative that bibliographic data be made open - that is, available for anyone to use and re-use freely for any purpose