23 research outputs found

    Perceptions and misperceptions of computing careers

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    Two issues were addressed. 1. Women are underrepresented in computing courses and in the computing workplace. Despite almost two decades of recognition of the issue and of intervention to correct it, the proportion of women in computing continues to decline. 2. There is a shortage of people with appropriate skills and qualifications in computing, and, more specifically, a need for people with particular personality attributes. There is an increasing demand for computing personnel to have good communication and interpersonal skills, but the predominant personality types of computing people do not include these characteristics. The research relating to the underrepresentation of women was conducted as a series of interviews with university students, female computing professionals and secondary school girls. The main findings of these studies were: 1) schoolgirls are interested in careers that are interesting and varied and provide opportunities for interaction with others; 2) schoolgirls perceive computing as involving working alone; 3) women working in computing describe careers that are interesting, varied, and people-oriented; 4) tertiary computing students equated \u27computing\u27 with \u27programming\u27; and 5) single interventions are unlikely to result in individuals in the targeted group deciding to study computing. The perception of schoolgirls that computing involves working alone, which is reinforced by many tertiary computing courses, suggested that the type of person who is likely to be attracted to computing is one who would prefer to work alone. It was predicted that schoolboys would have similar perceptions of computing. Thus, computing is likely to attract students who would prefer to work alone. For various social and stereotypical reasons addressed by previous research, these students will be predominantly male. In the final study, preferred Myers-Briggs Type Indicator and Strong Interest Inventory personality types were suggested for computer programmers, systems designers and systems analysts. The existing literature and the \u27types\u27 of 72 study participants tended to confirm that 1) certain personality types are overrepresented in computing; 2) these types are well suited to programming and design tasks; and 3) there is an underrepresentation of individuals who have the combination of analytical, communication and people skills that are required particularly of analysts but also of many others working in computing today. Interviews with participants supported the earlier findings that computing careers are perceived by students to be technical and involve working in isolation, but for many computing people this is not the reality

    Retrospective evaluation of whole exome and genome mutation calls in 746 cancer samples

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    Funder: NCI U24CA211006Abstract: The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) curated consensus somatic mutation calls using whole exome sequencing (WES) and whole genome sequencing (WGS), respectively. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2,658 cancers across 38 tumour types, we compare WES and WGS side-by-side from 746 TCGA samples, finding that ~80% of mutations overlap in covered exonic regions. We estimate that low variant allele fraction (VAF < 15%) and clonal heterogeneity contribute up to 68% of private WGS mutations and 71% of private WES mutations. We observe that ~30% of private WGS mutations trace to mutations identified by a single variant caller in WES consensus efforts. WGS captures both ~50% more variation in exonic regions and un-observed mutations in loci with variable GC-content. Together, our analysis highlights technological divergences between two reproducible somatic variant detection efforts

    Comparison of BASIC and LOGO as a first programming language for lower secondary students

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    Attracting women to tertiary computing courses

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    Teaching computer science

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    Hybridization approach to in-line and off-axis (electron) holography for superior resolution and phase sensitivity

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    Holography - originally developed for correcting spherical aberration in transmission electron microscopes - is now used in a wide range of disciplines that involve the propagation of waves, including light optics, electron microscopy, acoustics and seismology. In electron microscopy, the two primary modes of holography are Gabor's original in-line setup and an off-axis approach that was developed subsequently. These two techniques are highly complementary, offering superior phase sensitivity at high and low spatial resolution, respectively. All previous investigations have focused on improving each method individually. Here, we show how the two approaches can be combined in a synergetic fashion to provide phase information with excellent sensitivity across all spatial frequencies, low noise and an efficient use of electron dose. The principle is also expected to be widely to applications of holography in light optics, X-ray optics, acoustics, ultra-sound, terahertz imaging, etc
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