Visual Manifestations of Primary Metaphors Through Mise-en-scène Techniques

Grady distinguishes two main types of metaphor in order to provide a solution in the controversies stemming from the conceptual theory of metaphor: correlation-based metaphors and resemblance metaphors. In “correlation-based metaphors”, the source domain is sensory-motor, while the target domain is not. On the contrary, “resemblance metaphors” are originated by a physical or conceptual perception which is common in both domains, by the association of concepts with common features. Primary metaphors are the minimal units of correlation-based metaphors; they are inherent in human nature and the result of the nature of our brain, our body and the world that we inhabit. We acquire them automatically and we cannot avoid them. Furthermore, as corporal experiences are universal, so are primary metaphors. In this paper, I will argue that primary metaphors manifest themselves visually through scene-setting techniques such as composition, framing, camera movement or lighting. Film-makers can use the different aspects of mise-en-scène metaphorically in order to express abstract notions like evil, importance, control, relationship or confusion. Such visual manifestations, as also occurs with their verbal equivalents, frequently go unnoticed or have been used so often that they have become clichés. But the important thing to bear in mind is that their origin lies in a primary metaphor and due to this origin these kinds of film-making strategies have been so expressively successful.

Sampling intervals, fluxes, percentages of total flux, organic carbon and lithogen for sediment trap CB9

We combined the analysis of sediment trap data and satellite-derived sea surface chlorophyll to quantify the amount of organic carbon export to the deep sea in the upwelling induced high production area off northwest Africa. In contrast to the generally global or basin-wide adoption of export models, we used a regionally fitted empirical model. Furthermore, the application of our model was restricted to a dynamically defined region of high chlorophyll concentration in order to restrict the model application to an environment of more homogeneous export processes. We developed a correlation-based approximation to estimate the surface source area for a sediment trap deployed from 11 June 1998 to 7 November 1999 at 21.25°N latitude and 20.64°W longitude off Cape Blanc. We also developed a regression model of chlorophyll and export of organic carbon to the 1000 m depth level. Carbon export was calculated for an area of high chlorophyll concentration (>1 mg/m**3) adjacent to the coast on a daily basis. The resulting zone of high chlorophyll concentration was 20,000-800,000 km**2 large and yielded a yearly export of 1.123 to 2.620 Tg organic carbon. The average organic carbon export within the area of high chlorophyll concentration was 20.6 mg/m**2d comparable to 13.3 mg/m**2d as found in the sediment trap results if normalized to the 1000 m level. We found strong interannual variability in export. The period autumn 1998 to summer 1999 was exceeding the mean of the other three comparable periods by a factor of 2.25. We believe that this approach of using more regionally fitted models can be successfully transferred even to different oceanographic regions by selecting appropriate definition criteria like chlorophyll concentration for the definition of an area to which it is applicable.

Ecological speciation

Ecological processes are central to the formation of new species when barriers to gene flow (reproductive isolation) evolve between populations as a result of ecologically-based divergent selection. Although laboratory and field studies provide evidence that 'ecological speciation' can occur, our understanding of the details of the process is incomplete. Here we review ecological speciation by considering its constituent components: an ecological source of divergent selection, a form of reproductive isolation, and a genetic mechanism linking the two. Sources of divergent selection include differences in environment or niche, certain forms of sexual selection, and the ecological interaction of populations. We explore the evidence for the contribution of each to ecological speciation. Forms of reproductive isolation are diverse and we discuss the likelihood that each may be involved in ecological speciation. Divergent selection on genes affecting ecological traits can be transmitted directly (via pleiotropy) or indirectly (via linkage disequilibrium) to genes causing reproductive isolation and we explore the consequences of both. Along with these components, we also discuss the geography and the genetic basis of ecological speciation. Throughout, we provide examples from nature, critically evaluate their quality, and highlight areas where more work is required.

Market failure in long-term private health insurance markets: a proposed solution

Recently, private health insurance rates have declined in many countries. In places requiring community rating in their health insurance premiums, a major cause is age-based adverse selection. However, even in countries without community rating, a de facto type of partial community rating tends to occur. In this note, a modified version of Pauly et al.'s guaranteed renewability model, which addresses the problem of age-based adverse selection (Pauly et al., 1995) is presented. Their model is extended from three to 35 periods. Also, probabilities are allowed to increase by age for low-risk types using actual age-based probabilities. This extension of their work shows that private health insurance contracts available stray far from optimal contracts that deal with age-based adverse selection. This suggests that government actions to affect private insurance options are warranted.

Lifetime cover in private insurance markets

In the last few decades, private health insurance rates have declined in many countries. In countries and states with community rating, a major cause is adverse selection. In order to address age-based adverse selection, Australia has recently begun a novel approach which imposes stiff penalties for buying private insurance later in life, when expected costs are higher. In this paper, we analyze Australiarsquos Lifetime Cover in the context of a modified version of the Rothschild-Stiglitz insurance model (Rothschild and Stiglitz, 1976). We allow empirically-based probabilities to increase by age for low-risk types. The model highlights the shortcomings of the Australian plan. Based on empirically-based probabilities of illness, we predict that Lifetime Cover will not arrest adverse selection. The model has many policy implications for government regulation encouraging long-term health coverage.

A new method for conservation planning for the persistence of multiple species

Although the aim of conservation planning is the persistence of biodiversity, current methods trade-off ecological realism at a species level in favour of including multiple species and landscape features. For conservation planning to be relevant, the impact of landscape configuration on population processes and the viability of species needs to be considered. We present a novel method for selecting reserve systems that maximize persistence across multiple species, subject to a conservation budget. We use a spatially explicit metapopulation model to estimate extinction risk, a function of the ecology of the species and the amount, quality and configuration of habitat. We compare our new method with more traditional, area-based reserve selection methods, using a ten-species case study, and find that the expected loss of species is reduced 20-fold. Unlike previous methods, we avoid designating arbitrary weightings between reserve size and configuration; rather, our method is based on population processes and is grounded in ecological theory.

Authorship Attribution with Support Vector Machines

In this paper we explore the use of text-mining methods for the identification of the author of a text. We apply the support vector machine (SVM) to this problem, as it is able to cope with half a million of inputs it requires no feature selection and can process the frequency vector of all words of a text. We performed a number of experiments with texts from a German newspaper. With nearly perfect reliability the SVM was able to reject other authors and detected the target author in 60–80% of the cases. In a second experiment, we ignored nouns, verbs and adjectives and replaced them by grammatical tags and bigrams. This resulted in slightly reduced performance. Author detection with SVMs on full word forms was remarkably robust even if the author wrote about different topics.

Effectiveness of document representation for classification

Conventionally, document classification researches focus on improving the learning capabilities of classifiers. Nevertheless, according to our observation, the effectiveness of classification is limited by the suitability of document representation. Intuitively, the more features that are used in representation, the more comprehensive that documents are represented. However, if a representation contains too many irrelevant features, the classifier would suffer from not only the curse of high dimensionality, but also overfitting. To address this problem of suitableness of document representations, we present a classifier-independent approach to measure the effectiveness of document representations. Our approach utilises a labelled document corpus to estimate the distribution of documents in the feature space. By looking through documents in this way, we can clearly identify the contributions made by different features toward the document classification. Some experiments have been performed to show how the effectiveness is evaluated. Our approach can be used as a tool to assist feature selection, dimensionality reduction and document classification.

ANTROPOLOGIA TRANSCENDENTAL E CORRELAÇÃO : KARL RAHNER E PAUL TILLICH EM DIALOGO - UMA LEITURA INTERCONFESSIONAL DE MÉTODOS TEOLÓGICOS A PARTIR DA ONTOLOGIA EXISTENCIAL DE MARTIN HEIDEGGER

Esta tese de Doutorado procura estudar os métodos teológicos em diálogo, antropologiatranscendental de Karl Rahner e correlação de Paul Tillich, a partir da sistematização da ontologia existencial elaborada pelo jovem Heidegger em Sein und Zeit. Tanto num, como noutro método, o que se discute é a profundidade do ser, na sua possibilidade de aproximação em superação ao que não pode ser dito. Nesse caso, tanto a metafísica tomista, resgatada por Rahner, quanto a secularização protestante e o abismo do ser, enfatizado por Tillich, assumem a impossibilidade de se dizer o conteúdo do sagrado, exatamente por se situarem ou no inconceito da raiz ontológica (Rahner), ou no excesso de sentido do Ultimate Concern (Tillich). Dessas impossibilades, independente se um antes e depois (Rahner), ou se um depois e um antes em profundidade (Tillich), o que se tem é a pergunta ontológica como possibilidade da abertura do ser, nos dois casos sem conteúdo, para que a resposta , que também não responde, seja dada como (im)possibilidade do deslocamento do ser. No resgate da metafísica tomista, em Rahner, há um deslocamento a partir de um sentido, de certo modo linear , daí antropologia-transcendental. Já na leitura protestante de Tillich, o deslocamento se dá por uma dialética , o ser ameaçado pelo não-ser, como uma unidade rompida, daí correlação. A tese é apresentada em quatro capítulos. No primeiro há uma leitura de Heidegger, pela perspectiva da hermenêutica da compreensão. Já no segundo a reflexão se dá em busca da possibilidade da compreensão pela racionalidade ontológica na correlação, Paul Tillich, pela mediação do simbólico. No terceiro, seguindo as mesmas preocupações, se faz a leitura da epistemologia na racionalidade ontológica na antropologia -transcendental, Karl Rahner, pela mediação da pré-apreensão. O quarto capítulo apresenta temas decorrentes, e tradicionais da teologia, em diálogo a partir dos métodos.(AU)

Estudo comparativo da determinação do tipo facial por meio de análise cefalométrica e pelo índice morfológico da face

A determinação do tipo facial é importante para o diagnóstico e planejamento ortodôntico, tendo em vista que na atualidade vários protocolos de tratamento utilizam este método para individualizar a terapêutica nos pacientes. O objetivo deste trabalho consistiu em verificar a correlação existente entre o Índice Morfológico da Face e o Vert de Ricketts, entre o Índice Morfológico da Face e o Quociente de Jarabak; também entre o Vert de Ricketts e o Quociente de Jarabak. Outro objetivo foi verificar se há correlação entre o Índice Morfológico da Face, Vert de Ricketts e o Quociente de Jarabak com as grandezas cefalométricas: FMA, Eixo Facial, Sn.GoGn, Sn.Gn e Ar.GoMe. A amostra foi constituída de telerradiografias em norma lateral e de mensurações antopométricas da face de 60 voluntários, sendo 30 do sexo feminino e 30 do sexo masculino. Entre os resultados obtidos observamos correlação entre o Índice Morfológico da Face e o VERT de Ricketts (r = -0,42) e entre o Índice Morfológico da Face e o Quociente de Jarabak (r = -0,32), considerado em ambos os casos como uma fraca correlação negativa. Já na correlação entre o VERT de Ricketts e o Quociente de Jarabak o valor obtido foi de r = 0,61, sendo considerada como uma correlação positiva moderada. Houve uma moderada correlação entre os métodos para determinação dos tipos faciais Índice Morfológico da Face e Quociente de Jarabak com as variáveis cefalométricas. Já para a correlação entre as variáveis cefalométricas e o método para determinação do tipo facial Vert de Ricketts, houve uma forte correlação. Com base nos resultados obtidos concluímos que houve uma concordância fraca entre os métodos Índice Morfológico da Face, Vert de Ricketts e Quociente de Jarabak; e sugerimos que outros estudos devem ser realizados a fim de corroborar com este trabalho para comprovar a aplicabilidade do Índice Antropométrico para a determinação do tipo facial (AU)

Using Bayesian neural networks to classify segmented images

We present results that compare the performance of neural networks trained with two Bayesian methods, (i) the Evidence Framework of MacKay (1992) and (ii) a Markov Chain Monte Carlo method due to Neal (1996) on a task of classifying segmented outdoor images. We also investigate the use of the Automatic Relevance Determination method for input feature selection.

The hydrodynamic behaviour and mass transfer characteristics of single droplets in a pulsed sieve plate column

The literature relating to the performance of pulsed sieve plate liquid-liquid extraction columns and the relevant hydrodynamic phenomenon have been surveyed. Hydrodynamic behaviour and mass transfer characteristics of droplets in turbulent and non-turbulent conditions have also been reviewed. Hydrodynamic behaviour, i.e. terminal and characteristic velocity of droplets, droplet size and droplet breakup processes, and mass transfer characteristics of single droplets (d≤0.6 cm) were investigated under pulsed (mixer-settler & transitional regimes) and non-pulsed conditions in a 5.0 cm diameter, 100 cm high, pulsed sieve plate column with three different sieve plate types and variable plate spacing. The system used was toluene (displaced) - acetone - distilled water. Existing photographic techniques for following and recording the droplet behaviour, and for observing the parameters of the pulse and the pulse shape were further developed and improved. A unique illumination technique was developed by which a moving droplet could be photographed using cine or video photography with good contrast without using any dye. Droplet size from a given nozzle and droplet velocity for a given droplet diameter are reduced under pulsing condition, and it was noted that this effect is enhanced in the presence of sieve plate. The droplet breakup processes are well explained by reference to an impact-breakup mechanism. New correlations to predict droplet diameter based on this mechanism are given below.vskip 1.0cm or in dimensionless groups as follows:- (We)crit= 3.12 - 1.79 (Eo)crit A correlation based on the isotropic turbulence theory was developed to calculate droplet diameter in the emulsion regime.vskip 1.0cm Experimental results show that in the mixer-settler and transitional regimes, pulsing parameters had little effect on the overall dispersed phase mass transfer coefficient during the droplet formation and unhindered travel periods.

A study of cluster analysis techniques and their applications

This thesis seeks to describe the development of an inexpensive and efficient clustering technique for multivariate data analysis. The technique starts from a multivariate data matrix and ends with graphical representation of the data and pattern recognition discriminant function. The technique also results in distances frequency distribution that might be useful in detecting clustering in the data or for the estimation of parameters useful in the discrimination between the different populations in the data. The technique can also be used in feature selection. The technique is essentially for the discovery of data structure by revealing the component parts of the data. lhe thesis offers three distinct contributions for cluster analysis and pattern recognition techniques. The first contribution is the introduction of transformation function in the technique of nonlinear mapping. The second contribution is the us~ of distances frequency distribution instead of distances time-sequence in nonlinear mapping, The third contribution is the formulation of a new generalised and normalised error function together with its optimal step size formula for gradient method minimisation. The thesis consists of five chapters. The first chapter is the introduction. The second chapter describes multidimensional scaling as an origin of nonlinear mapping technique. The third chapter describes the first developing step in the technique of nonlinear mapping that is the introduction of "transformation function". The fourth chapter describes the second developing step of the nonlinear mapping technique. This is the use of distances frequency distribution instead of distances time-sequence. The chapter also includes the new generalised and normalised error function formulation. Finally, the fifth chapter, the conclusion, evaluates all developments and proposes a new program. for cluster analysis and pattern recognition by integrating all the new features.

Binary sparse nonnegative matrix factorization

This paper presents a fast part-based subspace selection algorithm, termed the binary sparse nonnegative matrix factorization (B-SNMF). Both the training process and the testing process of B-SNMF are much faster than those of binary principal component analysis (B-PCA). Besides, B-SNMF is more robust to occlusions in images. Experimental results on face images demonstrate the effectiveness and the efficiency of the proposed B-SNMF.

Novel speech signal processing algorithms for high-accuracy classification of Parkinson's disease

There has been considerable recent research into the connection between Parkinson's disease (PD) and speech impairment. Recently, a wide range of speech signal processing algorithms (dysphonia measures) aiming to predict PD symptom severity using speech signals have been introduced. In this paper, we test how accurately these novel algorithms can be used to discriminate PD subjects from healthy controls. In total, we compute 132 dysphonia measures from sustained vowels. Then, we select four parsimonious subsets of these dysphonia measures using four feature selection algorithms, and map these feature subsets to a binary classification response using two statistical classifiers: random forests and support vector machines. We use an existing database consisting of 263 samples from 43 subjects, and demonstrate that these new dysphonia measures can outperform state-of-the-art results, reaching almost 99% overall classification accuracy using only ten dysphonia features. We find that some of the recently proposed dysphonia measures complement existing algorithms in maximizing the ability of the classifiers to discriminate healthy controls from PD subjects. We see these results as an important step toward noninvasive diagnostic decision support in PD.