805 resultados para challenge hypothesis


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The follicular variant of papillary thyroid carcinoma (FVPTC) presents a type of papillary thyroid cancer that has created continuous diagnosis and treatment controversies among clinicians and pathologists. In this review, we describe the nomenclature, the clinical features, diagnostic problems and the molecular biology of FVPTC. It is important for clinicians to understand this entity as the diagnosis and management of this group of patient may be different from other patients with conventional PTC. The literature suggests that FVPTC behaves in a way similar, clinically, to conventional papillary thyroid carcinoma. However, there are some genotypic differences which may characterise this neoplasm. These parameters may account for the phenotypic variation described by some scientists in this type of cancer. Further understanding can only be achieved by defining strict pathological criteria, in-depth study of the molecular biology and long term follow-up of the optional patients with FVPTC.

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The increased interest in the area of process improvement persuaded Rabobank Group ICT in examining its own Change-process in order to improve its competitiveness. The group is looking for answers about the effectiveness of changes applied as part of this process, with particular interest toward the presence of predictive patterns and their parameters. We conducted an analysis of the log using well established process mining techniques (i.e. Fuzzy Miner). The results of the analysis conducted on the log of the process show that a visible impact is missing.

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Purpose The purpose of this paper is to introduce the papers contributing to this special issue and to locate them within the broader questions about the role of small firms in enabling or alleviating issues of equality, diversity, and difference for various groups in society. Design/methodology/approach The literature dealing with the issues of equality, diversity, and difference pertaining to the operation of and/or working in smaller firms was reviewed prior to drawing out the key points from the submitted papers and considering the contribution they make to this literature. Findings Overall, one's these five papers contribute to one's understanding of the issues facing those in business or self‐employment, working in small business or wanting to pursue enterprise. Originality/value Rarely are questions asked about the assumed role small firms play in mitigating social exclusion for a range of groups in society. By addressing questions which explore the challenge of equality, diversity, and difference for small business in their establishment, management, and effective operation using interdisciplinary frameworks and different methodologies, a better understanding of the role of small business in society can be developed.

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It is well known that China and India have been recycling centers of WEEE, especially printed circuit boards, and that serious environmental pollution in these countries has been generated by improper recycling methods. After the governments of China and India banned improper recycling by the informal sector, improper recycling activities spread to other places. Then, these governments changed their policies to one of promoting proper recycling by introducing a scheme, under which E-waste recycling requires a license issued by the government. In this paper, the effectiveness of that license scheme is examined by means of an economic model. It can be shown that the license scheme can work effectively only if disposers of E-waste have a responsibility to sell E-waste to license holders. Our results run counter to the idea that international E-waste trade should be banned and provide an alternative solution to the problem.

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Integrating Science, Technology, and Engineering in Mathematics authors share ideas and activities that stimulate student interest in the integrated fields of science, technology, engineering, and mathematics (STEM) in K–grade 6 classrooms. This article describes an activity that introduced fourth-grade students to the work of aerospace engineers and to the science, technology, and mathematics principles associated with flight.

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The UAV challenge takes place every year. Teams of compteitors compete to use an Unmanned Airborne Vehicle to locate a simulated lost person and deliver water.

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Self-care management is needed for effective management of chronic kidney disease. The main aim for treatment or management of chronic kidney disease is to delay the worsening of kidney function, and to prevent or to manage the co-morbidities. Selfcare management is not easy, and patients will face many challenges, especially when they cannot get use to the new treatment plan. One of the challenges they face is dietary restriction, which is a very important aspect in any self-care management programme. Chronic kidney disease patients require a low-protein, low-sodium, low-potassium, and low-phosphorus diet. There are several strategies patients can undertake to ensure adherence, such as self-monitoring their dietary habits and type of food consumed using a food diary; involving social support, such as family members and spouse to help them to adhere to their diet restrictions; setting goals and providing positive reinforcement when they achieved the targeted goals; joining self-management programmes to equip themselves with the necessary skills so that they can better adhere to the treatment regimes, including diet restriction; and lastly, having the knowledge about their regime, and using this knowledge to help them understand and improve their adherence.

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It is a big challenge to guarantee the quality of discovered relevance features in text documents for describing user preferences because of large scale terms and data patterns. Most existing popular text mining and classification methods have adopted term-based approaches. However, they have all suffered from the problems of polysemy and synonymy. Over the years, there has been often held the hypothesis that pattern-based methods should perform better than term-based ones in describing user preferences; yet, how to effectively use large scale patterns remains a hard problem in text mining. To make a breakthrough in this challenging issue, this paper presents an innovative model for relevance feature discovery. It discovers both positive and negative patterns in text documents as higher level features and deploys them over low-level features (terms). It also classifies terms into categories and updates term weights based on their specificity and their distributions in patterns. Substantial experiments using this model on RCV1, TREC topics and Reuters-21578 show that the proposed model significantly outperforms both the state-of-the-art term-based methods and the pattern based methods.

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One of the riskiest activities in the course of a person's work is driving. By developing and testing a new work driving risk assessment measurement tool for use by organisations this research will contribute to the safety of those who drive for work purposes. The research results highlighted limitations associated with current self-report measures and provided evidence that the work driving environment is extremely complex and involves constant interactions between humans, vehicles, the road environment, and the organisational context.

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This chapter explores the possibility and exigencies of employing hypotheses, or educated guesses, as the basis for ethnographic research design. The authors’ goal is to examine whether using hypotheses might provide a path to resolve some of the challenges to knowledge claims produced by ethnographic studies. Through resolution of the putative division between qualitative and quantitative research traditions , it is argued that hypotheses can serve as inferential warrants in qualitative and ethnographic studies.