Long-term outcome after tricuspid valvectomy in a neonate with Candida endocarditis : a case report

Tricuspid valvectomy is a rare surgical intervention, and knowledge regarding long-term outcome in children is lacking. We report a favourable outcome 11 years after tricuspid valvectomy in early infancy without subsequent surgery or other cardiac interventions. Specific criteria for timing of re-intervention are lacking. Application of adult tricuspid and pulmonary regurgitation recommendations is helpful but has limitations

Broad expertise retrieval in sparse data environments

Expertise retrieval has been largely unexplored on data other than the W3C collection. At the same time, many intranets of universities and other knowledge-intensive organisations offer examples of relatively small but clean multilingual expertise data, covering broad ranges of expertise areas. We first present two main expertise retrieval tasks, along with a set of baseline approaches based on generative language modeling, aimed at finding expertise relations between topics and people. For our experimental evaluation, we introduce (and release) a new test set based on a crawl of a university site. Using this test set, we conduct two series of experiments. The first is aimed at determining the effectiveness of baseline expertise retrieval methods applied to the new test set. The second is aimed at assessing refined models that exploit characteristic features of the new test set, such as the organizational structure of the university, and the hierarchical structure of the topics in the test set. Expertise retrieval models are shown to be robust with respect to environments smaller than the W3C collection, and current techniques appear to be generalizable to other settings

Using the VALGENT-3 framework to assess the clinical and analytical performance of the RIATOL qPCR HPV genotyping assay

Background and objective: The VALGENT framework is developed to assess the clinical performance of HPV tests that offer genotyping capability. Samples from the VALGENT-3 panel are used to identify an optimal viral concentration threshold for the RIATOL qPCR HPV genotyping assay (RIATOL qPCR) to assure non-inferior accuracy to detect high-grade cervical intraepithelial neoplasia (CIN), compared to Qiagen Hybrid Capture 2 (HC2), a standard comparator test validated for cervical cancer screening. Study design: The VALGENT-3 panel comprised 1300 samples from women participating in the Slovenian cervical cancer screening programme, enriched with 300 samples from women with abnormal cytology. In follow-up, 126 women were diagnosed with CIN2+ (defined as diseased) and 1167 women had two consecutive negative Pap smears (defined as non-diseased). All 1600 samples were analyzed with the RIATOL qPCR. Viral concentration was expressed as viral log10 of the number of copies/ml. A zone of viral concentration cut-offs was defined by relative ROC analysis where the sensitivity and specificity were not inferior to HC2. Results: The RIATOL qPCR had a sensitivity and specificity for CIN2+ of 97.6% (CI: 93.2-99.5%) and 85.1% (CI: 82.9-87.1%), respectively, when the analytical cut off was used. At a cut off of 6.5, RIATOL qPCR had a sensitivity of 96.0% (CI: 91.0-98.7%) and a specificity of 89.5% (87.6-91.2%). At optimized cut off, accuracy of the qPCR was non-inferior to the HC2 with a relative sensitivity of 1.00 [CI: 0.95-1.05 (p= 0.006)] and relative specificity of 1.00 [CI: 0.98-1.01 (p= 0.0069)]. Conclusions: The RIATOL qPCR has a high sensitivity and specificity for the detection of CIN2+. By using a fixed cut-off based on viral concentration, the test is non-inferior to HC2. HPV tests that provide viral concentration measurements or other quantifiable signals allow flexibility to optimize accuracy required for cervical cancer screening

Navigating collaborative open innovation projects:Staging negotiations of actors' concerns

Open innovation has attracted significant attention as companies respond to increasing innovative complexities by opening their organizational boundaries to interact with stakeholders along the innovation funnel. However, knowledge from customers and users is not always easily translated into solutions that can be commercialized. Micro-level challenges of open innovation projects that might be impeding commercialization remain under-explored in the literature. To address this research gap, we use a collaborative staging approach inspired by actor-network theory to focus on micro-level negotiations of actors' concerns at the project level. Analysing data collected via ethnographic research and participant observation in a longitudinal qualitative case study, we investigate how managers and designers navigated value creation and capture when conceptualizing an app for hospitalized stroke patients. Our findings reveal an action-oriented staging approach to collaborative open innovation efforts and selective enactment of business models depending on whether the focus is value capture or value creation. Furthermore, we point to a repertoire of staging moves that managers and designers can use to facilitate productive negotiations and network alignment as value creation opportunities co-evolve and to conceptualize value offers in collaborative open innovation processes

The Forces of Ecosystem Evolution

Ecosystems are the result of a delicate balance between centripetal forces that push economic activities toward integration, and centrifugal forces that pull economic activities out onto the market. Ecosystems evolve when these forces change. For example, technological complementarities-the main source of centripetal force-are dynamic and may be commoditized, generalized, or standardized over time. Management and coordination also change: for example, open innovation practices enable firms to move innovation activities from the in-house R&D lab out into the ecosystem. This article discusses how such dynamics in technologies and management lead to ecosystem evolution

Exploring opportunities to facilitate serendipity in search

Serendipitously discovering new information can bring many benefits. Although we can design systems to highlight serendipitous information, serendipity cannot be easily orchestrated and is thus hard to study. In this paper, we deployed a working search engine that matched search results with Facebook `Like' data, as a technology probe to examine naturally occurring serendipitous discoveries. Search logs and diary entries revealed the nature of these occasions in both leisure and work contexts. The findings support the use of the micro-serendipity model in search system design