El objetivo de este estudio es analizar el impacto de la diversificación sobre el rendimiento y el riesgo. Se emplea un panel de datos de frecuencia mensual para el periodo 2010-2019 y se utiliza el estimador de MGM por la naturaleza dinámica del modelo. Los resultados muestran que la diversificación de la cartera de préstamos no tiene efecto en el rendimiento del sistema bancario, sin embargo, se observa que los bancos con mayores riesgos pueden aumentar sus rendimientos si aumentan su nivel de concentración por sector económico y departamento. El efecto en el riesgo dependerá del tipo de concentración, un mayor nivel de concentración de préstamos por sector y departamento disminuirá el riesgo crediticio; pero una mayor concentración de préstamos por tipo de crédito aumentará el nivel de riesgo. Además, se observó que no hay ningún efecto sobre el riesgo ni el rendimiento dependiendo de si el banco es de capitales domésticos o extranjeros. Los hallazgos son importantes para los bancos al elegir su estrategia crediticia y clave para las autoridades regulatorias. / The objective of this study is to analyze the impact of diversification on performance and risk. A monthly frequency data panel is used for the period 2010-2019 and the MGM estimator is used because of the dynamic nature of the model. The results show that loan portfolio diversification does not affect the performance of the banking system, however, it is observed that banks with higher risks can increase their returns by increasing their level of concentration by economic sector and department. The effect on risk will depend on the type of concentration, a higher level of loan concentration by sector and department will decrease credit risk; but a higher concentration of loans by type of credit will increase the level of risk. Besides, it was noted that there is no effect on risk or return depending on whether the bank is domestic or foreign-owned. The findings are important for banks when choosing their credit strategy and key for regulatory authorities. / Trabajo de investigación

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<p dir="ltr">This work will introduce a channel conceptualization and possible coding scheme for Graph-and-Symbol (GS) Communication. While Claude Shannon’s mathematical model for communication employed graphs to describe relationships and confusability among traditional time-sequenced signals, little work as been done to describe non-linear communication <i>with</i> graphs where we transmit and receive physical structures of information. The principal contribution of this work is to introduce a mathematical framework for communication with graphs which have symbols assigned to vertices. This looks like a molecule, and so we may think of these messages as coded forms of molecular communication.</p><p dir="ltr">At this time, many problems in this area will (and may remain) computationally intractable, but as the field of graph theory continues to develop, new tools and techniques may emerge to solve standing problems in this new subfield of communication.</p><p dir="ltr">Graphs present two difficulties: first, they contain ambiguities among their vertices and do not have an <i>a priori</i> canonical ordering, and second, the relationships among graphs lack structural regularities which we see in traditional error control coding lattices. There are no Galois fields to exploit over graph-based codes as we have with cyclic codes, for example. Furthermore, the shear number of graphs of order n grows so rapidly that it is difficult to account for the neighborhoods around codewords and effectively reduce communication errors which may occur. The more asymmetric a graph is, the more orderings on symbols it can support. However, asymmetries complicate the computation of channel transition probabilities, which are the cornerstone of all communication theory.</p><p dir="ltr">In the prologue, the reader will be introduced to a new educational tool for designing traditional binary cyclic codes.</p><p dir="ltr">1 through 10 will detail the development of Graph-and-Symbol (GS) Commu- nication to date followed by two example codes which demonstrate the power of structuring information on graphs.</p><p dir="ltr">Chapter 13 onward will review the preliminary work in another area of research, disjoint from the main body. It is included here for posterity and special interests in applying graphs to solving other problems in signal processing. It begins with an introduction of spacetime raythic graphs. We propose a new chamfering paradigm for connecting neighboring pixels which approximates solutions to the eikonal equation. We show that some raythic graphs possess structures with multiple, differing solutions to eikonal wavefront propagation which are essential to the construction of the Umbral Transform. This umbral transform emulates ray casting effects, such as shadows and diffraction within an image space, from a network-flow algorithm.</p><p dir="ltr">This work may be duplicated in whole or in part for educational purposes only. All other rights of this work are reserved by the author, Timothy Arthur Terlep Jr., of Rose-Hulman Institute of Technology, Terre Haute, IN (effective August 2024), and subject to the rules and regulations of the Graduate School of Purdue University.</p><p dir="ltr">Readers may contact the author with any comments and questions at <b>taterlep@gmail.com</b></p>

Submitted by Johnny Rodrigues (johnnyrodrigues@ufcg.edu.br) on 2018-08-13T16:22:35Z No. of bitstreams: 1 WASHINGTON CÉSAR DE ALMEIDA COSTA - TESE PPGEE 2012..pdf: 6463355 bytes, checksum: 40d8703ef8a6dd3ef05acde3025cf628 (MD5) / Made available in DSpace on 2018-08-13T16:22:35Z (GMT). No. of bitstreams: 1 WASHINGTON CÉSAR DE ALMEIDA COSTA - TESE PPGEE 2012..pdf: 6463355 bytes, checksum: 40d8703ef8a6dd3ef05acde3025cf628 (MD5) Previous issue date: 2012-11-09 / Patologias na laringe podem afetar a qualidade vocal, prejudicando a comunicação humana. As técnicas objetivas tradicionais para o diagnóstico dessas patologias fazem uso de exames considerados invasivos, causando certo desconforto ao paciente. Análise acústica, utilizando técnicas de processamento digital de sinais de voz, pode ser utilizada para o desenvolvimento de ferramentas não invasivas de auxílio ao diagnóstico de patologias laríngeas. A precisão do diagnóstico, contudo, depende da escolha das características e parâmetros da fala que melhor representem a desordem vocal provocada por uma determinada patologia. Este trabalho trata da caracterização e da classificação de sinais de vozes saudáveis e vozes afetadas por diferentes patologias laríngeas (edema, paralisia e nódulos nas pregas vocais), por meio da análise dinâmica não linear (e teoria do caos), como também por meio da análise de quantificação de recorrência. No processo de caracterização é investigado, por meio de testes estatísticos, o potencial de cada característica em discriminar os tipos de sinais de voz considerados. Para a classificação é empregada a técnica de análise discriminante com as funções linear ou quadrática, com validação cruzada, sendo considerado um intervalo de confiança de 95% para as médias das taxas de acuraria do classificador. A partir da combinação de características dos conjuntos das medidas de análise não linear (MNL) e das medidas de quantificação de recorrência (MQR), as médias da taxa de acurácia obtidas variaram nos intervalos de confiança: [95,44%; 100%) para a classificação entre vozes saudáveis e patológicas; [94,75%; 100%] entre vozes saudáveis e afetadas por edema, e entre saudáveis e nódulos. Para a classificação entre saudável e paralisia, obteve-se uma acurácia de 100% . Também são avaliados os efeitos do uso de vetores híbridos formados por características MNL, MQR e coeficientes extraídos da análise preditiva linear (LPC). Neste caso. as taxas de acurácia variaram nos intervalos de confiança: [95,02%; 97,62%] na discriminação entre vozes afetadas por paralisia e edema; [98,29%; 99,93%] para paralisia versus nódulos e [97,98%; 99,84%] para edema versus nódulos. Os resultados encontrados indicam que o método utilizado é promissor, podendo ser empregado no desenvolvimento de uma ferramenta computacional para apoio ao diagnóstico de patologias laríngeas. / Laryngeal pathologies may affect the voice quality, harniing human communication. The traditional objective techniques for diagnosing these pathologies make use of exams, considered invasive, causing discomfort to the patient. Acoustic analysis, using digital speech signal processing techniques. can be used for the development of non-invasive tools in order to aid laryngeal diseases diagnosis. The accuracy of diagnosis, however. depends on the choice of parameters and the speech characteristics diat better represent the voice disorder caused by a given pathology. This work deals with the characterization and classification of healthy voice signals and voices affecied by different laryngeal diseases (edema, paralysis and vocal fold nodules), by means of nonlinear dynamic analysis (and chãos theory) as well as recurrence quantification analysis. In the characterization process, the potential of each feature is investigated to discriminate the types of voice signals considered, by means of statistical tests. For the classification, the technique of discriminam analysis is employed with linear or quadratic functions, with cross-validation. A 95% confidence levei was considered for the average of accuracy rates of the classifier performance. From the feature combination of the set of nonlinear analysis measures (MNL) and the quantification recurrence measures (MQR). the average of accuracy rates varied in the following confidence intervals: [95.44%; 100%] for healthy and pathologícal classification: [94.75%; 100%] between healdiy and edema voices, and also between healthy and nodules. The accuracy rate was 100% between healthy and paralysis. We also evaluated the effects of using hybrid vectors formed by MNL, MQR and linear predictive coding (LPC) coefficients. In this case, the accuracy rates ranged in the confidence intervals: [95.02%; 97.62%] in the paralysis versus edema voices discrimination; [98.29%; 99.93%] for paralysis versus nodules and [97.98%; 99.84%] for edema versus nodules. Obtained results indicate that the used method is promising and it can even be used to develop a computational tool to support diagnosis of laryngeal diseases.

Extensive research has documented the relationship between listening to certain genres of music and negative effects on social behavior such as aggressive and antisocial behavior. The present study explored whether there are genres of music associated with altruism. Altruistic behavior is defined as behavior that is consistently more caring, helpful, considerate of other's feelings, and self- sacrificing. These behaviors promote our ability to thrive as a community. Yet, few studies have addressed the relationship between music and altruism. Data was collected from 608 college students who completed a self-report altruism scale, music preference measure, the Marlowe Crowne social desirability scale, and a demographic information form in order to see if there is a relationship between choice of music and altruism. A multiple hierarchal regression analysis found music genre choice accounted for 15.9 percent of variance in self-reported altruism. Significant, positive correlations emerged also between altruism and several music genres including alternative, country, classical, and emo.

Master of Philosophy (MPhil) / Informationist Science Fiction theory provides a way of analysing science fiction texts and narratives in order to demonstrate on an informational basis the uniqueness of science fiction proper as a mode of fiction writing. The theoretical framework presented can be applied to all types of written texts, including non-fictional texts. In "Informationist Science Fiction Theory and Informationist Science Fiction" the author applies the theoretical framework and its specific methods and principles to various contemporary science fiction works, including works by William Gibson, Neal Stephenson and Vernor Vinge. The theoretical framework introduces a new informational theoretic re-framing of existing science fiction literary theoretic posits such as Darko Suvin's novum, the mega-text as conceived of by Damien Broderick, and the work of Samuel R Delany in investigating the subjunctive mood in SF. An informational aesthetics of SF proper is established, and the influence of analytic philosophy - especially modal logic - is investigated. The materialist foundations of the metaphysical outlook of SF proper is investigated with a view to elucidating the importance of the relationship between scientific materialism and SF. SF is presented as The Fiction of Veridical, Counterfactual and Heterogeneous Information.

Master of Philosophy (MPhil) / Informationist Science Fiction theory provides a way of analysing science fiction texts and narratives in order to demonstrate on an informational basis the uniqueness of science fiction proper as a mode of fiction writing. The theoretical framework presented can be applied to all types of written texts, including non-fictional texts. In "Informationist Science Fiction Theory and Informationist Science Fiction" the author applies the theoretical framework and its specific methods and principles to various contemporary science fiction works, including works by William Gibson, Neal Stephenson and Vernor Vinge. The theoretical framework introduces a new informational theoretic re-framing of existing science fiction literary theoretic posits such as Darko Suvin's novum, the mega-text as conceived of by Damien Broderick, and the work of Samuel R Delany in investigating the subjunctive mood in SF. An informational aesthetics of SF proper is established, and the influence of analytic philosophy - especially modal logic - is investigated. The materialist foundations of the metaphysical outlook of SF proper is investigated with a view to elucidating the importance of the relationship between scientific materialism and SF. SF is presented as The Fiction of Veridical, Counterfactual and Heterogeneous Information.