24 research outputs found

    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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    Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

    Jim Mosher Oral History

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    Oral histories created by University of Kansas students, staff and faculty as part of the Religion in Kansas Project are archived at http://hdl.handle.net/1808/12524 in KU ScholarWorks, the digital repository of the University of Kansas.An oral history interview with Jim Mosher conducted by Renee Cyr on July 21, 2019 at the Topeka Shawnee Public Library. Jim is High Priest of Coven Ancora Imparo, a member of the Web of Oz, and a co-owner of Enchanted Willow a metaphysical shop in Topeka. Questions cover his personal religious beliefs, ritual practices, the operation of Coven Ancora Imparo, discrimination, and the Pagan community. This interview was conducted as part of a summer field internship funded by Friends of the Department of Religious Studies

    Multi-centre implementation of an Educational program to improve the Cardiac Arrest diagnostic accuracy of ambulance Telecommunicators and survival outcomes for sudden cardiac arrest victims: the EduCATe study design and methodology

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    Background: Sudden cardiac death remains a leading cause of mortality in Canada, resulting in more than 35,000 deaths annually. Most cardiac arrest victims collapse in their own home (85% of the time) and 50% are witnessed by a family member or bystander. Survivors have a quality of life similar to the general population, but the overall survival rate for out-of-hospital cardiac arrest (OHCA) rarely exceeds 8%. Victims are almost four times more likely to survive when receiving bystander CPR, but bystander CPR rates have remained low in Canada over the past decade, not exceeding 15–25% until recently. Telecommunication-assisted CPR instructions have been shown to significantly increase bystander CPR rates, but agonal breathing may be misinterpreted as a sign of life by 9–1-1 callers and telecommunicators, and is responsible for as much as 50% of missed OHCA diagnoses. We sought to improve the ability and speed with which ambulance telecommunicators can recognize OHCA over the phone, initiate timely CPR instructions, and improve survival. Methods: In this multi-center national study, we will implement and evaluate an educational program developed for ambulance telecommunicators using a multiple baseline interrupted time-series design. We will compare outcomes 12 months before and after the implementation of a 20-min theory-based educational video addressing barriers to recognition of OHCA while in the presence of agonal breathing. Participating Canadian sites demonstrated prior ability to collect standardized data on OHCA. Data will be collected from eligible 9–1-1 recordings, paramedic documentation and hospital medical records. Eligible cases will include suspected or confirmed OHCA of presumed cardiac origin in patients of any age with attempted resuscitation. Discussion: The ability of telecommunication-assisted CPR instructions to improve bystander CPR and survival rates for OHCA victims is undeniable. The ability of telecommunicators to recognize OHCA over the phone is unequivocally impeded by relative lack of training on agonal breathing, and reluctance to initiate CPR instructions when in doubt. Our pilot data suggests the potential impact of this project will be to increase absolute OHCA recognition and bystander CPR rates by at least 10%, and absolute out-of-hospital cardiac arrest survival by 5% or more. Trial registration: Prospectively registered on March 28, 2019 at ClinicalTrials.gov identifier: NCT03894059 .Medicine, Faculty ofNon UBCEmergency Medicine, Department ofReviewedFacult

    Customer Preference Discontinuities: A Trigger for Radical Technological Change. Managerial and Decision Economics, forthcoming

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    Abstract The technology life cycle literature provides strong theoretical foundations that explain how an era of technological ferment culminates in a dominant design, as well as how technology progresses during the resulting era of incremental change. But the processes by which subsequent technological discontinuities occur, particularly their timing, remains relatively unexplored. What factors cause an industry to move from maturity back to a period of turbulence? This paper develops a model of technological evolution that incorporates both technological trajectories and a new concept: preference trajectories, which are cycles of incremental and discontinuous change in preferences. Preference discontinuities turn out to play an important role in triggering technological transitions in an industry. The model is illustrated using an in-depth historical study of 100 years in the typesetter industry, which underwent three major technological transitions, each of which was driven by preference discontinuities.
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