52 research outputs found

    Development and Validation of the Career Competencies Indicators (CCI)

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    This paper describes the development and validation of the Career Competencies Indicator (CCI); a 43-item measure to assess career competencies. Following an extensive literature review, a comprehensive item generation process involving consultation with subject matter experts, a pilot study and a factor analytic study on a large sample yielded a seven factor structure; goal setting and career planning, self-knowledge, job-performance, career-related skills, knowledge of (office) politics, career guidance and networking, and feedback seeking and self-presentation. Coefficient alpha reliabilities of the seven dimensions ranged from .93 to .81. Convergent validity was established by showing below chance similarity between CCI sub-scales, and discrminant validity between the CCI sub-scales and the big five personality scales. The results also suggested criterion-related validity of the CCI, since career competencies were found to jointly predict objective and subjective career success

    The use of digital pathology and image analysis in clinical trials

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    Digital pathology and image analysis potentially provide greater accuracy, reproducibility and standardisation of pathology‐based trial entry criteria and endpoints, alongside extracting new insights from both existing and novel features. Image analysis has great potential to identify, extract and quantify features in greater detail in comparison to pathologist assessment, which may produce improved prediction models or perform tasks beyond manual capability. In this article, we provide an overview of the utility of such technologies in clinical trials and provide a discussion of the potential applications, current challenges, limitations and remaining unanswered questions that require addressing prior to routine adoption in such studies. We reiterate the value of central review of pathology in clinical trials, and discuss inherent logistical, cost and performance advantages of using a digital approach. The current and emerging regulatory landscape is outlined. The role of digital platforms and remote learning to improve the training and performance of clinical trial pathologists is discussed. The impact of image analysis on quantitative tissue morphometrics in key areas such as standardisation of immunohistochemical stain interpretation, assessment of tumour cellularity prior to molecular analytical applications and the assessment of novel histological features is described. The standardisation of digital image production, establishment of criteria for digital pathology use in pre‐clinical and clinical studies, establishment of performance criteria for image analysis algorithms and liaison with regulatory bodies to facilitate incorporation of image analysis applications into clinical practice are key issues to be addressed to improve digital pathology incorporation into clinical trials

    A real-world approach to Evidence-Based Medicine in general practice: a competency framework derived from a systematic review and Delphi process

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    Background Evidence-Based Medicine (EBM) skills have been included in general practice curricula and competency frameworks. However, GPs experience numerous barriers to developing and maintaining EBM skills, and some GPs feel the EBM movement misunderstands, and threatens their traditional role. We therefore need a new approach that acknowledges the constraints encountered in real-world general practice. The aim of this study was to synthesise from empirical research a real-world EBM competency framework for general practice, which could be applied in training, in the individual pursuit of continuing professional development, and in routine care. We sought to integrate evidence from the literature with evidence derived from the opinions of experts in the fields of general practice and EBM. Methods We synthesised two sets of themes describing the meaning of EBM in general practice. One set of themes was derived from a mixed-methods systematic review of the literature; the other set was derived from the further development of those themes using a Delphi process among a panel of EBM and general practice experts. From these two sets of themes we constructed a real-world EBM competency framework for general practice. Results A simple competency framework was constructed, that acknowledges the constraints of real-world general practice: (1) mindfulness - in one’s approach towards EBM itself, and to the influences on decision-making; (2) pragmatism – in one’s approach to finding and evaluating evidence; and (3) knowledge of the patient – as the most useful resource in effective communication of evidence. We present a clinical scenario to illustrate how a GP might demonstrate these competencies in their routine daily work. Conclusion We have proposed a real-world EBM competency framework for general practice, derived from empirical research, which acknowledges the constraints encountered in modern general practice. Further validation of these competencies is required, both as an educational resource and as a strategy for actual practice.</p

    Can We Optimize Arc Discharge and Laser Ablation for Well-Controlled Carbon Nanotube Synthesis?

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    Business ethics competencies research: implications for Canadian practitioners

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    This paper describes a proposed framework of knowledge, skills, abilities, and other characteristics (KSAOs) that a practitioner who is competent in business ethics, compliance, or integrity should possess. These competencies may be leveraged as key input to selecting content for an institutionalized business ethics training program. The focus in this paper is on the management problem of 'What competencies are important for job performance of business ethics practitioners'. Phase I consisted of developing a provisional taxonomy of business ethics competencies and Phase II involved academic and industry practitioners implicated in business ethics to validate the conceptually developed provisional taxonomy of business ethics competencies to eventually make recommendations regarding the selection of business ethics training content. The contribution to the business ethics competency-based management knowledge that is presented in this paper is a proposed business ethics competency model and the implications of this model for Canadian practitioners are discussed

    Competency modeling: A theoretical and empirical examination of the strategy dissemination process

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    One of the most important functions of a competency model is to translate organizational strategy into employee behavior. Yet, virtually no theoretical attempts to elucidate this process exist, and no empirical evidence has been offered demonstrating that it occurs. Drawing on the strategic management literature, we develop a conceptual framework delineating this process. We theorize that structurally distributed knowledge, attention, and behavior results in coalitions of individuals at different hierarchical levels (top managers vs employees) developing different dominant logics. These differences across levels in habituated modes of processing information and conceptualizing roles impact the initial importance assigned to competencies that are added to the model as an organization\u27s strategy evolves. However, over time, competency models enable top managers to drive their dominant logic downward through the organization. As the importance of certain competencies is reinforced through performance management, schemata of high-performers shift, becoming better aligned with those of top managers\u27. Using data from focus groups, surveys, and archives collected at two points in time (6 years apart) capturing change in the strategy of an organization of professional jobs in the U.S. government (n = 218), results were supportive. We then use our model to generate an agenda of research questions and topics to enhance competency modeling scholarship

    Integrated Policies for Climate, Air, Ecosystems, Energy and Transport

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    Three perspectives on the problems around climate and energy use and their relationship to ecosystems and human well-being in terms of air pollution are provided. (1) Macro-level interdependencies and trade-offs. The stringency of global mitigation will determine climate impacts on human and natural systems. The rate of climate change has implications for how quickly systems can adapt, as does dependence on bio-energy and biomass. (2) Country, regional, and local transformations and vulnerabilities. Mitigation action at a global level will determine the intensity of potential trade-offs between mitigation measures and their potential (in)direct impacts on ecosystems and human well-being at smaller scales, notably concerning the water, energy, land nexus. (3) Climate mitigation, transport and air quality. Electrified transport causes non-exhaust emissions and may cause distant emissions with different health impacts if the electricity comes from fossil sources, so policies must go beyond inducing manufacturers to produce cleaner vehicles and electric vehicles
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