Endovascular treatment of huge saccular abdominal aortic aneurysm in a young Behcet patient: mid-term result

BACKGROUND: Abdominal aortic aneurysm formation is among the arterial complications of Behcet's disease. Weakness and fragility of aortic walls leads to the development of arterial complications like pseudoaneurysms. CASE PRESENTATION: A case of huge saccular abdominal aortic aneurysm in a young Behcet patient who was successfully treated with endovascular stent graft placement is reported, diagnostic and interventional procedures are discussed, and mid-term follow-up results are presented. CONCLUSIONS: Endovascular treatment of abdominal aortic aneurysm complications of young Behcet patients who are not suitable for open surgery and need intervention could be an alternative treatment modality even without performing preprocedural angiography

BroDyn’18: Workshop on analysis of broad dynamic topics over social media

This book constitutes the refereed proceedings of the 40th European Conference on IR Research, ECIR 2018, held in Grenoble, France, in March 2018. The 39 full papers and 39 short papers presented together with 6 demos, 5 workshops and 3 tutorials, were carefully reviewed and selected from 303 submissions. Accepted papers cover the state of the art in information retrieval including topics such as: topic modeling, deep learning, evaluation, user behavior, document representation, recommendation systems, retrieval methods, learning and classication, and micro-blogs

EveTAR: Building a Large-Scale Multi-Task Test Collection over Arabic Tweets

This article introduces a new language-independent approach for creating a large-scale high-quality test collection of tweets that supports multiple information retrieval (IR) tasks without running a shared-task campaign. The adopted approach (demonstrated over Arabic tweets) designs the collection around significant (i.e., popular) events, which enables the development of topics that represent frequent information needs of Twitter users for which rich content exists. That inherently facilitates the support of multiple tasks that generally revolve around events, namely event detection, ad-hoc search, timeline generation, and real-time summarization. The key highlights of the approach include diversifying the judgment pool via interactive search and multiple manually-crafted queries per topic, collecting high-quality annotations via crowd-workers for relevancy and in-house annotators for novelty, filtering out low-agreement topics and inaccessible tweets, and providing multiple subsets of the collection for better availability. Applying our methodology on Arabic tweets resulted in EveTAR , the first freely-available tweet test collection for multiple IR tasks. EveTAR includes a crawl of 355M Arabic tweets and covers 50 significant events for which about 62K tweets were judged with substantial average inter-annotator agreement (Kappa value of 0.71). We demonstrate the usability of EveTAR by evaluating existing algorithms in the respective tasks. Results indicate that the new collection can support reliable ranking of IR systems that is comparable to similar TREC collections, while providing strong baseline results for future studies over Arabic tweets

Effects of testicular microlithiasis on Doppler parameters: report of three cases

BACKGROUND: Testicular microlithiasis is a rare, usually asymptomatic, non-progressive disease of the testes associated with various genetic anomalies, infertility and testicular tumors. According to our literature search, there is no specific data about Doppler findings in this disease. CASE PRESENTATION: Doppler findings of three cases of testicular microlithiasis during last two years in our institution are presented. CONCLUSIONS: Although our hypothesis was to find increased Doppler parameters due to intratesticular arterial compression, our findings suggest that there are no Doppler findings specific to testicular microlithiasis

Perceptions of second year medical school students regarding ageing and geriatric education: A qualitative study

Introduction: Existing literature on the geriatric-related attitudes of medical students reveals inconsistent results in terms of feelings for the elderly. This study aims to determine the perceptions of medical students regarding ageing and geriatric education. Materials and Method: A qualitative study was conducted with 160 second-year medical students who visited a nursing home and responded to three open-ended questions about this experience. The responses were qualitatively analysed using the constant comparative method for themes. Results: Second year medical students indicated both positive and negative impressions of ageing. Although they generally believed that ageing brings experience and maturity, happy ageing was seen as being dependent on individual characteristics and personality factors that affect the emotional aspects of ageing and, therefore, quality of life. The students indicated recognition that ageing is related to inevitable physiological changes and a belief that most illnesses in the elderly are untreatable because of the natural decline in health related to ageing. Students indicated a sense of inadequacy in communicating with the elderly and emphasised the importance of introducing geriatric psychiatry lessons into the curriculum to improve their understanding of the elderly. Conclusion: This study provides a better understanding of the opinions of future doctors about ageing and of beliefs that should be addressed to help in the making of doctors with more positive attitudes toward older people. © 2016, Geriatrics Society. All rights reserved

Crowd vs. Expert: What can relevance judgment rationales teach us about assessor disagreement?

© 2018 ACM. While crowdsourcing offers a low-cost, scalable way to collect relevance judgments, lack of transparency with remote crowd work has limited understanding about the quality of collected judgments. In prior work, we showed a variety of benefits from asking crowd workers to provide \em rationales for each relevance judgment \citemcdonnell2016relevant. In this work, we scale up our rationale-based judging design to assess its reliability on the 2014 TREC Web Track, collecting roughly 25K crowd judgments for 5K document-topic pairs. We also study having crowd judges perform topic-focused judging, rather than across topics, finding this improves quality. Overall, we show that crowd judgments can be used to reliably rank IR systems for evaluation. We further explore the potential of rationales to shed new light on reasons for judging disagreement between experts and crowd workers. Our qualitative and quantitative analysis distinguishes subjective vs.\ objective forms of disagreement, as well as the relative importance of each disagreement cause, and we present a new taxonomy for organizing the different types of disagreement we observe. We show that many crowd disagreements seem valid and plausible, with disagreement in many cases due to judging errors by the original TREC assessors. We also share our WebCrowd25k dataset, including: (1) crowd judgments with rationales, and (2) taxonomy category labels for each judging disagreement analyzed