34 research outputs found
A survey of visualization tools for biological network analysis
The analysis and interpretation of relationships between biological molecules, networks and concepts is becoming a major bottleneck in systems biology. Very often the pure amount of data and their heterogeneity provides a challenge for the visualization of the data. There are a wide variety of graph representations available, which most often map the data on 2D graphs to visualize biological interactions. These methods are applicable to a wide range of problems, nevertheless many of them reach a limit in terms of user friendliness when thousands of nodes and connections have to be analyzed and visualized. In this study we are reviewing visualization tools that are currently available for visualization of biological networks mainly invented in the latest past years. We comment on the functionality, the limitations and the specific strengths of these tools, and how these tools could be further developed in the direction of data integration and information sharing
The labour market experience of Vietnamese, Maltese and Lebanese immigrants: an analysis of the OMA supplementary survey of selected birthplace groups
During the past decade a substantial amount of research has documented how immigrants fare in the Australian labour market. The general findings are that immigrants from English speaking countries face few problems in transferring their skills to the Australian labour market and are able to adjust well to their new environment, but this does not apply to immigrants from non-English speaking countries. Thus it has become conventional to describe and categorise the immigrant experience in terms of the dichotomy English speaking and non-English speaking background, and the acronym NESB has been created to denote the latter group.
However, even though one common factor applies to all NESB immigrants, the dichotomy hides a considerable diversity. NESB immigrants come from over 100 countries, have widely varying educational achievements and have been working in a vast range of jobs prior to migration. Labour market outcomes within this heterogenous group can, therefore, be expected to differ.
Certain groups have been observed to do less well than others, notably immigrants from Vietnam, Lebanon and Malta. All these groups are large enough to be noted in the statistics, and the indications are that they do distinctly worse than others in the Australian labour market. Their numbers are also large enough to matter for both settlement and immigration policies. If such large numbers of immigrants fare relatively poorly, it is suggestive of settlement and related policies not being very effective in overcoming the difficulties that large groups of immigrants face. In respect of immigration policy, the apparent lack of success of large and visible groups, cannot but have an affect in shaping views about the size and composition of immigration.
It is therefore important to understand why certain groups, such as Vietnamese, Lebanese and Maltese immigrants have done less well than other comparable groups. The objective of this study is to contribute towards such an understanding
Molecular cytogenetic characterization of the 11q13 amplicon in head and neck squamous cell carcinoma.
Amplification of 11q13 DNA sequences and overexpression of CCND1 are common findings in head and neck squamous cell carcinoma (HNSCC), identified in about 30% of the cases. However, little is known about initiation of the amplification and the organization of the amplicon. In order to study the structure of the amplicon in more detail and to learn more about the mechanisms involved in its initiation, prometaphase, metaphase, and anaphase fluorescence in situ hybridization (FISH) with 40 BAC clones spanning a 16-Mb region in chromosome bands 11q12.2 to 11q13.5 was performed in nine HNSCC cell lines with homogeneously staining regions. FISH analysis showed that the size of the amplicon varied among the nine cell lines, the smallest being 2.12 Mb and the largest 8.97 Mb. The smallest overlapping region of amplification was approximately 1.61 Mb, covering the region from BAC 729E14 to BAC 102B19. This region contained several genes previously shown to be amplified and overexpressed in HNSCC, including CCDN1, CTTN, SHANK2, and ORAOV1. The cell lines were also used to study the internal structure of the amplicon. Various patterns of amplified DNA sequences within the amplicon were found among the nine cell lines. Even within the same cell line, different amplicon structures could be found in different cell populations, indicating that the mechanisms involved in the development of the amplicons in HNSCC were more complex than previously assumed. The frequent finding of inverted repeats within the amplicons, however, suggests that breakage-fusion-bridge cycles are important in the initiation, but the fact that such repeats constituted only small parts of the amplicons indicate that they are further rearranged during tumor progression. Copyright (c) 2006 S. Karger AG, Basel
Immigrants and the Use of Government Transfer Payments
This article examines the use of government benefits and allowances by Australian immigrants relative to their native-born counterparts. The study extends the Australian literature by employing micro-level (Australian Longitudinal Survey) data, controlling for a number of relevant variables including first or second generation immigrant status and the nature of transfer payments received. The data on young adults employed in the study provide a comparable population for examining the relative use of benefits among those of similar age, allowing comparisons based on only the relevant types of benefits. The results consistently reject the hypothesis that immigrants are disproportionately using benefit payments and thereby imposing a burden on public funds. These results are of interest, especially since Australia is already a major immigrant-receiving country, and since the Australian welfare system is more extensive in its coverage than most other immigrant-receiving countries. Copyright 1993 The University of Melbourne, Melbourne Institute of Applied Economic and Social Research.
Building context-based knowledge of government social media communication through an ethnographic study of the US Coast Guard
Immigrant wage differentials and the role of self-employment in Australia
Immigration has played an important role in the historical development of Australia. Thus, it is no surprise that a large body of empirical work has developed, which focuses upon how migrants fare in the land of opportunity. Much of the literature is comparatively recent, i.e. the last ten years or so, encouraged by the advent of public availability of Australian crosssection micro data. Several different aspects of migrant welfare have been addressed, with major emphasis being placed upon earnings and unemployment experience. For recent examples see Haig (1980), Stromback (1984), Chiswick and Miller (1985), Tran-Nam and Nevile (1988) and Beggs and Chapman (1988). The present paper contributes to the literature by providing additional empirical evidence on the native/migrant earnings differential. The data utilised are from the rather neglected Australian Bureau of Statistics, ABS Special Supplementary Survey No.4. 1982, otherwise known as the Family Survey. The paper also examines the importance of distinguishing between the wage and salary sector and the self-employment sector when discussing native/migrant differentials. Separate earnings equations for the two labour market groups are estimated and the native/migrant earnings differential is broken down by employment status. This is a novel application in the Australian context and provides some insight into the earnings of the selfemployed, a group that despite its size (around 20 per cent of the labour force) is frequently ignored by economic research. Most previous empirical research fails to examine the effect of employment status on earnings. Stromback (1984) includes a dummy variable representing self-employment status in an earnings equation estimated over a pooled sample of paid and self-employed workers. The variable is found to be highly significant, which leads Stromback to question the efficacy of including the self-employed in the estimation sample. The suggestion is that part of self-employed earnings represent a return to non-human capital investment, i.e. investments in machinery, buildings etc, the structural determinants of earnings differ significantly from those for paid employees. Tran-Nam and Nevile (1988) deal with differences between paid employees and the selfemployed by deleting the latter from their sample. However, deleting the self-employed from the estimation sample may lead to bias in the OLS estimation method (see Heckman 1979). The desirable properties of OLS are dependent upon estimation on a random sample. Thus, the 'Ran-Nam and Nevile results are likely to suffer from bias unless individuals are randomly allocated between self-employment and paid employment. The current analysis extends Tran-Nam and Nevile (1988) by explicitly treating the choice of paid employment versus self-employment as being endogenously determined. This allows an explicit test for the appropriateness of deleting self-employed workers from the sample. Earnings equations that are corrected for sample selection are estimated for both natives and migrants in the paid employee sector. The Heckman (1979) two-step estimator is employed. The paper is divided into five major sections. The next section presents the econometric model incorporating the specification of the earnings generating process together with an explicit model determining an individual's employment status. In Section 111 the data are described. Section IV draws together the main econometric results of the paper. First, the probit estimates of the labour market status equation are documented. This is followed by presentation and discussion of the Heckman two-stage estimates of the earnings specification for both native and migrant Australians. Separate earnings equations are estimated for paid employees and the self-employed. Section V documents estimates of the nativelmigrant earnings differential for both categories of employees. To aid comparison with earlier work, the Oaxaca decomposition of the earnings differential for paid-employees is carried out for both the simple OLS regression results as well as the parameter estimates corrected for sample selection effects. These differentials are interpreted and compared with previous Australian findings. A short section concludes the paper