184 research outputs found

    Bi-Objective Community Detection (BOCD) in Networks using Genetic Algorithm

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    A lot of research effort has been put into community detection from all corners of academic interest such as physics, mathematics and computer science. In this paper I have proposed a Bi-Objective Genetic Algorithm for community detection which maximizes modularity and community score. Then the results obtained for both benchmark and real life data sets are compared with other algorithms using the modularity and MNI performance metrics. The results show that the BOCD algorithm is capable of successfully detecting community structure in both real life and synthetic datasets, as well as improving upon the performance of previous techniques.Comment: 11 pages, 3 Figures, 3 Tables. arXiv admin note: substantial text overlap with arXiv:0906.061

    A terminal assessment of stages theory : introducing a dynamic states approach to entrepreneurship

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    Stages of Growth models were the most frequent theoretical approach to understanding entrepreneurial business growth from 1962 to 2006; they built on the growth imperative and developmental models of that time. An analysis of the universe of such models (N=104) published in the management literature shows no consensus on basic constructs of the approach, nor is there any empirical confirmations of stages theory. However, by changing two propositions of the stages models, a new dynamic states approach is derived. The dynamic states approach has far greater explanatory power than its precursor, and is compatible with leading edge research in entrepreneurship

    SPACA3gene variants in a New Zealand cohort of infertile and fertile couples

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    SPRASA (also referred to as SLLP1) is a protein identified in the acrosome of human sperm and encoded by the gene SPACA3. SPRASA is associated with sperm-oocyte recognition and binding, and may play a role in fertility. In order to determine whether variants in the SPACA3 gene are associated with human infertility, we undertook a genetic analysis of 102 infertile and 104 fertile couples. Three gene variants were identified using PCR-based DNA sequencing; 1) an insertion of TGC within a quadruple tri-nucleotide (TGC) repeat region in the 5’ untranslated region (UTR) (g.–22TGC(4_5), 2) a guanine to adenosine transition at position 239 (c.239G> A) resulting in a non-synonymous amino acid substitution from cysteine to tyrosine (p.C80Y) at position 80 in the putative transmembrane region, and 3) a novel nucleotide variant (c.691G> C) located in the 3’UTR. A functional effect of the g.–22TGC (4_5) was confirmed by a luciferase expression assay, while the effects of the variants c.239G> A and c.691G> C were predicted using in silico analysis. Although the frequencies of these variants were not significantly different between the infertile and fertile populations, we present evidence that the variants could affect the expression levels or function of SPRASA, thereby affecting a couple's fertility. Larger populations, especially individuals/couples with unexplained infertility, need to be screened for these variants to validate a relationship with fertility

    Foundations for health improvement Productive epidemiological public health research 1919-1998: a comparison of research output in the United Kingdom and the United States of America, with analysis of structural, organisational and political influences

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    SIGLEAvailable from British Library Document Supply Centre-DSC:m02/39705 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

    Sickness absence and 'working through' illness: a comparison of two professional groups

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    BACKGROUND: Few studies have investigated occupational groups reporting low rates of sickness absence because of an assumption that these rates indicate low morbidity. This is inconsistent with the view that sickness absence, which may be caused by social and psychological rather than medical factors, does not equate with morbidity. This paper investigates rates of sickness absence and factors influencing decisions not to take sick leave among doctors and a comparative professional group. METHODS: A postal survey was sent to 670 general practitioners (GPs), 669 hospital doctors and 400 company 'fee earners'. Qualitative interviews were conducted with 64 doctors reporting an illness lasting one month or more in the last three years. RESULTS: Self-reported health status was similar for both groups but GPs reported higher levels of occupational stress. However, doctors were significantly less likely to report short periods of sick leave in the previous year. Over 80 per cent of all respondents had 'worked through' illness, citing cultural and organizational factors behind their decision not to take sick leave. Barriers to sick leave among doctors included the difficulty of arranging cover and attitudes to their own health. CONCLUSIONS: Considerable emphasis has been given to the role of social factors in contributing to rates of sickness absence. These may also contribute to the decision not to take sick leave, resulting in possible inappropriate non-use. Measures to encourage and enable doctors to take sick leave might improve the management of their own health
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