969 resultados para likelihood to publication


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Massive open online courses (MOOCs) are a recent addition to the range of online learning options. Since 2008, MOOCs have been run by a variety of public and elite universities, especially in North America. Many academics have taken interest in MOOCs recognising the potential to deliver education around the globe on an unprecedented scale; some of these academics are taking a research-oriented perspective and academic papers describing their research are starting to appear in the traditional media of peer reviewed publications. This paper presents a systematic review of the published MOOC literature (2008-2012): Forty-five peer reviewed papers are identified through journals, database searches, searching the Web, and chaining from known sources to form the base for this review. We believe this is the first effort to systematically review literature relating to MOOCs, a fairly recent but massively popular phenomenon with a global reach. The review categorises the literature into eight different areas of interest, introductory, concept, case studies, educational theory, technology, participant focussed, provider focussed, and other, while also providing quantitative analysis of publications according to publication type, year of publication, and contributors. Future research directions guided by gaps in the literature are explored.

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Kumaraswamy [Generalized probability density-function for double-bounded random-processes, J. Hydrol. 462 (1980), pp. 79-88] introduced a distribution for double-bounded random processes with hydrological applications. For the first time, based on this distribution, we describe a new family of generalized distributions (denoted with the prefix `Kw`) to extend the normal, Weibull, gamma, Gumbel, inverse Gaussian distributions, among several well-known distributions. Some special distributions in the new family such as the Kw-normal, Kw-Weibull, Kw-gamma, Kw-Gumbel and Kw-inverse Gaussian distribution are discussed. We express the ordinary moments of any Kw generalized distribution as linear functions of probability weighted moments (PWMs) of the parent distribution. We also obtain the ordinary moments of order statistics as functions of PWMs of the baseline distribution. We use the method of maximum likelihood to fit the distributions in the new class and illustrate the potentiality of the new model with an application to real data.

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Modeling of spatial dependence structure, concerning geoestatistics approach, is an indispensable tool for fixing parameters that define this structure, applied on interpolation of values in places that are not sampled, by kriging techniques. However, the estimation of parameters can be greatly affected by the presence of atypical observations on sampled data. Thus, this trial aimed at using diagnostics techniques of local influence in spatial linear Gaussians models, applied at geoestatistics in order to evaluate sensitivity of maximum likelihood estimators and restrict maximum likelihood to small perturbations in these data. So, studies with simulated and experimental data were performed. Those results, obtained from the study of real data, allowed us to conclude that the presence of atypical values among the sampled data can have a strong influence on thematic maps, changing, therefore, the spatial dependence. The application of diagnostics techniques of local influence should be part of any geoestatistic analysis, ensuring that the information from thematic maps has better quality and can be used with greater security by farmers.

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Background: Genetic variation for environmental sensitivity indicates that animals are genetically different in their response to environmental factors. Environmental factors are either identifiable (e.g. temperature) and called macro-environmental or unknown and called micro-environmental. The objectives of this study were to develop a statistical method to estimate genetic parameters for macro- and micro-environmental sensitivities simultaneously, to investigate bias and precision of resulting estimates of genetic parameters and to develop and evaluate use of Akaike’s information criterion using h-likelihood to select the best fitting model. Methods: We assumed that genetic variation in macro- and micro-environmental sensitivities is expressed as genetic variance in the slope of a linear reaction norm and environmental variance, respectively. A reaction norm model to estimate genetic variance for macro-environmental sensitivity was combined with a structural model for residual variance to estimate genetic variance for micro-environmental sensitivity using a double hierarchical generalized linear model in ASReml. Akaike’s information criterion was constructed as model selection criterion using approximated h-likelihood. Populations of sires with large half-sib offspring groups were simulated to investigate bias and precision of estimated genetic parameters. Results: Designs with 100 sires, each with at least 100 offspring, are required to have standard deviations of estimated variances lower than 50% of the true value. When the number of offspring increased, standard deviations of estimates across replicates decreased substantially, especially for genetic variances of macro- and micro-environmental sensitivities. Standard deviations of estimated genetic correlations across replicates were quite large (between 0.1 and 0.4), especially when sires had few offspring. Practically, no bias was observed for estimates of any of the parameters. Using Akaike’s information criterion the true genetic model was selected as the best statistical model in at least 90% of 100 replicates when the number of offspring per sire was 100. Application of the model to lactation milk yield in dairy cattle showed that genetic variance for micro- and macro-environmental sensitivities existed. Conclusion: The algorithm and model selection criterion presented here can contribute to better understand genetic control of macro- and micro-environmental sensitivities. Designs or datasets should have at least 100 sires each with 100 offspring.

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The aid effectiveness literature contains about 100 papers that see aid as a treatment given to poor countries to generate development. 68 of these papers provide a total of 543 comparable estimates of the effect of aid on growth, which are the data of our meta-analysis. We consider two questions: (Q1) Are the estimates converging to a clear result over time as aid agencies gain experience, models become better and data accumulates? We find that the results do have a positive average, but it is small, insignificant and falling. (Q2) Can we identify the main factors that explain the large differences in the results? We find that much of the variation between studies can be attributed to publication outlet, institutional affiliation, data and specification differences. However, some of the difference between studies is real. In particular, the aid-growth effect is stronger for Asian countries. The meta-analysis indicates also the existence of indirect channels, which need to be further explored.

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Self-service technologies (SSTs), such as machine assisted and electronic services are prevalent. Many established brands in industries such as banking, retailing, and hospitality have adopted SSTs to complement or replace existing channels of service delivery, e.g., face-to-face service. However, the influence of SSTs on established brands has not been examined previously. In the light of this, a conceptual model is proposed that incorporates SST-related variables and their influence on brand satisfaction, brand associations, brand attitudes, and brand loyalty, along with customers' future likelihood to reuse the SST. Arguably, these outcomes affect brand equity and the long-term survival of SSTs.

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In spite of over two decades of intense research, illumination and pose invariance remain prohibitively challenging aspects of face recognition for most practical applications. The objective of this work is to recognize faces using video sequences both for training and recognition input, in a realistic, unconstrained setup in which lighting, pose and user motion pattern have a wide variability and face images are of low resolution. In particular there are three areas of novelty: (i) we show how a photometric model of image formation can be combined with a statistical model of generic face appearance variation, learnt offline, to generalize in the presence of extreme illumination changes; (ii) we use the smoothness of geodesically local appearance manifold structure and a robust same-identity likelihood to achieve invariance to unseen head poses; and (iii) we introduce an accurate video sequence “reillumination” algorithm to achieve robustness to face motion patterns in video. We describe a fully automatic recognition system based on the proposed method and an extensive evaluation on 171 individuals and over 1300 video sequences with extreme illumination, pose and head motion variation. On this challenging data set our system consistently demonstrated a nearly perfect recognition rate (over 99.7%), significantly outperforming state-of-the-art commercial software and methods from the literature

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This article focuses on the relationship between private insurance status and dental service utilisation in Australia using data between 1995 and 2001. This article employs joint maximum likelihood to estimate models of time since last dental visit treating private ancillary health insurance (PAHI) as endogenous. The sensitivity of results to the choice between two different but related types of instrumental variables is examined. We find robust evidence in both 1995 and 2001 that individuals with a PAHI policy make significantly more frequent dental consultations relative to those without such coverage. A comparison of the 1995 and 2001 results, however, suggests that there has been an increasing role of PAHI in terms of the frequency of dental consultations over time. This seems intuitive given the trends in the price of unsubsidised private dental consultations. In terms of policy, our results suggest that while government measures to increase private health insurance coverage in Australia have been successful to a significant degree, that success may have come at some cost in terms of socio-economic inequality as the privately insured are provided much better access to care and financial protection.

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Purpose – The purpose of this paper is to elucidate the role that visual measures of attention to product and information and price display signage have on purchase intention. The authors assessed the effect of visual attention to the product, information or price sign on purchase intention, as measured by likelihood to buy. Design/methodology/approach – The authors used eye–tracking technology to collect data from Australian and US garden centre customers, who viewed eight plant displays in which the signs had been altered to show either price or supplemental information (16 images total). The authors compared the role of visual attention to price and information sign, and the role of visual attention to the product when either sign was present on likelihood to buy. Findings – Overall, providing product information on a sign without price elicited higher likelihood to buy than providing a sign with price. The authors found a positive relationship between visual attention to price on the display sign and likelihood to buy, but an inverse relationship between visual attention to information and likelihood to buy. Research limitations/implications – An understanding of the attention–capturing power of merchandise display elements, especially signs, has practical significance. The findings will assist retailers in creating more effective and efficient display signage content, for example, featuring the product information more prominently than the price. The study was conducted on a minimally packaged product, live plants, which may reduce the ability to generalize findings to other product types. Practical implications – The findings will assist retailers in creating more effective and efficient display signage content. The study used only one product category (plants) which may reduce the ability to generalize findings to other product types. Originality/value – The study is one of the first to use eye–tracking in a macro–level, holistic investigation of the attention–capturing value of display signage information and its relationship to likelihood to buy. Researchers, for the first time, now have the ability to empirically test the degree to which attention and decision–making are linked.

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This article reports on the evidence for mental health occupational therapy in peer-reviewed journals from 2000 to 2013. Descriptive and inductive methods were used to address this question, with evidence from CINAHL, OTDBase, PSYCInfo, SCOPUS, and Google Scholar® included. Many articles (n = 1,747) were found that met the inclusion and exclusion criteria. A total of 47 different methods were used to develop evidence for mental health occupational therapy, and evidence appeared in 300 separate peer-reviewed journals. It takes on average 7 months for an article to progress from submission to acceptance, and a further 7 months to progress from acceptance to publication. More than 95% of articles published between 2000 and 2002 were cited at least once in the following decade, and around 70% of these citations were recorded in non-occupational therapy journals. The current evidence base for mental health occupational therapy is both substantial and diverse.

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BACKGROUND: Infancy is an important period for the promotion of healthy eating, diet and weight. However little is known about how best to engage caregivers of infants in healthy eating programs. This is particularly true for caregivers, infants and children from socioeconomically disadvantaged backgrounds who experience greater rates of overweight and obesity yet are more challenging to reach in health programs. Behaviour change interventions targeting parent-infant feeding interactions are more likely to be effective if assumptions about what needs to change for the target behaviours to occur are identified. As such we explored the precursors of key obesity promoting infant feeding practices in mothers with low educational attainment.

METHODS: One-on-one semi-structured telephone interviews were developed around the Capability Opportunity Motivation Behaviour (COM-B) framework and applied to parental feeding practices associated with infant excess or healthy weight gain. The target behaviours and their competing alternatives were (a) initiating breastfeeding/formula feeding, (b) prolonging breastfeeding/replacing breast milk with formula, (c) best practice formula preparation/sub-optimal formula preparation, (d) delaying the introduction of solid foods until around six months of age/introducing solids earlier than four months of age, and (e) introducing healthy first foods/introducing unhealthy first foods, and (f) feeding to appetite/use of non-nutritive (i.e., feeding for reasons other than hunger) feeding. The participants' education level was used as the indicator of socioeconomic disadvantage. Two researchers independently undertook thematic analysis.

RESULTS: Participants were 29 mothers of infants aged 2-11 months. The COM-B elements of Social and Environmental Opportunity, Psychological Capability, and Reflective Motivation were the key elements identified as determinants of a mother's likelihood to adopt the healthy target behaviours although the relative importance of each of the COM-B factors varied with each of the target feeding behaviours.

CONCLUSIONS: Interventions targeting healthy infant feeding practices should be tailored to the unique factors that may influence mothers' various feeding practices, taking into account motivational and social influences.

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Este trabalho originou-se de uma preocupaçao maior de contribuir, com algo realmente significativo, para a Universidade Federal do Maranhão. Para tantô, estabelecemos parâmetros, que nos fornecessem subsídios na elaboração do objeto proposto. Inicialmente, procuramos definir uma postura teórica metodológica que melhor se adaptasse, na compreensão dos interesses de uma classe hegemônica. No segundo capítulo fizemos uma retrospectiva histórica dos acontecimentos que marcaram o Ensino Superior no Brasil, com o cuidado de deixar bem claro o predomínio de uma classe dominante, interferindo na constituição da Universidade brasileira. Não temos a pretensão de esgotar todas as variáveis que atingiram direta ou ind1retamente o ensino, mas acreditamos fornecer alguns elementos que, no futuro, servirão de base para uma maior reflexão em torno de problemas tão significativos. No terceiro capítulo, procuramos analisar a Política Edu cacional Brasileira, selecionando alguns tópicos por considerarmos mais adaptados ao nosso estudo. Esta escolha foi bastante criterio sa, pelo volume de publicação existente, aliada a um conteúdo subs tancioso. No quarto capítulo, haja vista o nosso objetivo, utiliza mos, também, como parâmetro, a política Nacional de Saúde, direcio nada como tem sido até hoje, a atender uma população que a fortale ça como classe dominante, ao mesmo tempo, selecionando mecanismos _falaciosos para a manutenção do seu mercado de trabalho. No quinto capítulo, procuramos reconstruir o surgimento dos Cursos da Área de Saúde, da Universidade do Maranhão, tomando como pano de fundo as contradições de uma instituição que busca en contrar sua identidade, mas é limitada, a nível Nacional, a uma Po lítica de Educação e Saúde e, a nível regional, a disputa pela hegemonia, tendo em vista os interesses de grupos e não de uma socie dade • Na última parte, a título de conclusão, procuramos responder as questões por nós levantadas no primeiro capítulo, após a análise de todo conteúdo desenvolvido.Não nos esquecemos, também, de caracterizar, em cada capítulo, as condições do contexto sócio-político-econômico do País, em cada período analisado, proporcionando-nos uma visão dialética dos acontecimentos em pauta .

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A era digital viu a ascensão da empresa focada no consumidor. Todos os dias, marcas e produtos são objeto de milhões de conversas em que os consumidores trocam pontos de vista, opiniões e informações antes de tomar a decisão de compra. Os profissionais de marketing entenderam a importância do boca a boca como um novo canal de comunicação estratégica e começaram a ancorar técnicas de boca a boca à estratégia de marketing global. A propaganda tornou-se um negócio de conversa: o novo desafio do marketing é criar um conteúdo envolvente e compartilhável que possa expandir e ressoar dentro de redes de sociais de consumidores. Quanto mais as pessoas falam sobre a sua marca, mais a probabilidade de ganhar a competição dura e aumentar as vendas. Mas como o boca a boca funciona? O que faz uma campanha de marketing um sucesso viral? Este trabalho tem como objetivo fornecer uma análise abrangente da teoria de marketing de boca a boca e usa um modelo descritivo para investigar as variáveis-chave de campanhas bem-sucedidas de marketing viral, a fim de proporcionar insights e sugestões para as práticas de marketing viral.

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The dissertation goal is to quantify the tail risk premium embedded into hedge funds' returns. Tail risk is the probability of extreme large losses. Although it is a rare event, asset pricing theory suggests that investors demand compensation for holding assets sensitive to extreme market downturns. By de nition, such events have a small likelihood to be represented in the sample, what poses a challenge to estimate the e ects of tail risk by means of traditional approaches such as VaR. The results show that it is not su cient to account for the tail risk stemming from equities markets. Active portfolio management employed by hedge funds demand a speci c measure to estimate and control tail risk. Our proposed factor lls that void inasmuch it presents explanatory power both over the time series as well as the cross-section of funds' returns.

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Though many of those who decided to report wrongdoings in their organizations were able to tell their stories (e.g. Bamford, 2014, Armenakis 2004), it is fair to say that there is still much left to uncover. The paper aims to contribute to the literature in three ways. First, it provides preliminary evidence that the wrongdoing linked with individual financial loss leads to higher whistleblowing rate. Secondly, it shows how the experience of anger is related to the higher likelihood to report the wrongdoer but only if the wrongful act is perceived as a cause of one’s financial loss. Finally, the paper establishes first steps for the future development of an experimental procedure that would enable to predict, and measure whistleblowing behavior in the lab environment.