Accuracy of diagnosis of pterygium by optometrists and general practitioners in Australia

Background: It was the author's (LWH) observation that pterygium was frequently misdiagnosed by general practitioners that led to this study. The aim was to identify the rate of misdiagnosis of pterygium by optometrists and general practitioners based upon assessing referral accuracy to a single ophthalmologist (LWH). Methods: This study involved a prospective case series from 25 March 2015 to 18 December 2018 in a tertiary referral practice specialising in pterygium. The accuracy of diagnosis of pterygium, based upon the content of the clinical referral, was undertaken for optometrists and general practitioners. The benchmark for diagnostic accuracy was the diagnosis made by the author (LWH) during a consultation in person by the author (LWH) using a hand-light examination and confirmed by slitlamp examination. Results: A total of 1,511 consecutive patients were included in the study with 90/549 incorrectly diagnosed (16 per cent) by general practitioners and 14/962 (1.4 per cent) by optometrists. General practitioners were 13.28 times more likely to incorrectly diagnose a pterygium than optometrists (95% CI 7.48–23.57). Almost exclusively, the incorrect diagnosis made by general practitioners was naming a pinguecula, a pterygium. The same misdiagnosis was made by optometrists but far less frequently. Conclusion: General practitioners misdiagnosed pterygium far more often than optometrists which may reflect a reduction in training in eye health

Pterygium and Associated Ocular Surface Squamous Neoplasia

Objective: To measure the rate of histopathologically identified ocular surface squamous neoplasia (OSSN) in pterygium specimens. Methods: All pterygium specimens collected from consecutive patients between April 8, 2003, and February 6, 2008, were submitted for histopathologic examination, and the rate of OSSN was calculated. Results: The rate of OSSN was 9.8% (52 of 533) in sequential pterygium specimens. Conclusions: This rate of unsuspected OSSN suggests that all specimens of pterygium should be submitted for histopathologic examination and that patients in whom OSSN is noted should be examined at more frequent intervals so any clinical OSSN that develops can be identified at an early stage

Long-term NIR Variability in the UKIDSS Ultra Deep Survey:a new probe of AGN activity at high redshift

We present the first attempt to select AGN using long-term NIR variability. By analysing the K-band light curves of all the galaxies in the UKIDSS Ultra Deep Survey, the deepest NIR survey over ~1 sq degree, we have isolated 393 variable AGN candidates. A comparison to other selection techniques shows that only half of the variable sources are also selected using either deep Chandra X-ray imaging or IRAC colour selection, suggesting that using NIR variability can locate AGN that are missed by more standard selection techniques. In particular, we find that long-term NIR variability identifies AGN at low luminosities and in host galaxies with low stellar masses, many of which appear relatively X-ray quiet.Comment: 12 pages, 18 figures, accepted for publication in MNRAS, an error in Equation 1 has been fixed in this versio

The WFCAM Science Archive

We describe the WFCAM Science Archive (WSA), which is the primary point of access for users of data from the wide-field infrared camera WFCAM on the United Kingdom Infrared Telescope (UKIRT), especially science catalogue products from the UKIRT Infrared Deep Sky Survey (UKIDSS). We describe the database design with emphasis on those aspects of the system that enable users to fully exploit the survey datasets in a variety of different ways. We give details of the database-driven curation applications that take data from the standard nightly pipeline-processed and calibrated files for the production of science-ready survey datasets. We describe the fundamentals of querying relational databases with a set of astronomy usage examples, and illustrate the results.Comment: 28 pages, 18 figures; accepted for publication in MNRAS (2007 November 8

Towards a belief revision based adaptive and context sensitive information retrieval system

In an adaptive information retrieval (IR) setting, the information seekers' beliefs about which terms are relevant or nonrelevant will naturally fluctuate. This article investigates how the theory of belief revision can be used to model adaptive IR. More specifically, belief revision logic provides a rich representation scheme to formalize retrieval contexts so as to disambiguate vague user queries. In addition, belief revision theory underpins the development of an effective mechanism to revise user profiles in accordance with information seekers' changing information needs. It is argued that information retrieval contexts can be extracted by means of the information-flow text mining method so as to realize a highly autonomous adaptive IR system. The extra bonus of a belief-based IR model is that its retrieval behavior is more predictable and explanatory. Our initial experiments show that the belief-based adaptive IR system is as effective as a classical adaptive IR system. To our best knowledge, this is the first successful implementation and evaluation of a logic-based adaptive IR model which can efficiently process large IR collections

Management control systems in innovation companies: A literature based framework

Past research has traditionally argued that management control systems (MCSs) may present a hindrance to the creativity of innovation companies. This theoretical paper surveys the literature to focus an investigation on the MCSs of innovation companies. Within the object of control paradigm the paper develops and presents a theoretical model of the impact of eleven external, organisational and innovation related contingency factors on the MCSs in companies that engage in innovation activities. We also suggest measures for further empirical research. By formulating hypotheses on 43 potential interactions the model predicts contradictory influences on two direct control categories, results and action control, but stresses the importance of two indirect categories, personnel and cultural control. More specifically, the high levels of technological complexity and innovation capability in this type of company are expected to be negatively associated with the application of results and action control, whereas personnel and cultural seem to be more appropriate. Furthermore, important sources of finance, venture capital and public funding, are both hypothesised to be positively associated with the application of results, action and personnel control; whereas only public funding is predicted to be positively related to the application of cultural control. The principal contribution of this paper lies in synthesising the literature to provide a model of the impact of a unique set of eleven contingency factors for innovation companies on a broad scope of controls. In addition, the contingency model, if empirically validated, would add value by inferring the particular forms of management control which would be beneficial in innovative company settings. © 2014 Springer-Verlag Berlin Heidelberg

Multiplatform Analysis of 12 Cancer Types Reveals Molecular Classification within and across Tissues of Origin

Recent genomic analyses of pathologically-defined tumor types identify “within-a-tissue” disease subtypes. However, the extent to which genomic signatures are shared across tissues is still unclear. We performed an integrative analysis using five genome-wide platforms and one proteomic platform on 3,527 specimens from 12 cancer types, revealing a unified classification into 11 major subtypes. Five subtypes were nearly identical to their tissue-of-origin counterparts, but several distinct cancer types were found to converge into common subtypes. Lung squamous, head & neck, and a subset of bladder cancers coalesced into one subtype typified by TP53 alterations, TP63 amplifications, and high expression of immune and proliferation pathway genes. Of note, bladder cancers split into three pan-cancer subtypes. The multi-platform classification, while correlated with tissue-of-origin, provides independent information for predicting clinical outcomes. All datasets are available for data-mining from a unified resource to support further biological discoveries and insights into novel therapeutic strategies