4,088 research outputs found

    Psychological type and religious orientation : do introverts and extraverts go to church for different reasons?

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    This study set out to profile an Anglican congregation in the south of England in terms of religious orientation, assessed by the New Indices of Religious Orientation, and in terms of psychological type, assessed by the Francis Psychological Type Scales, in order to test the hypothesis that motivation for church attendance (religious orientation) is related to personality (psychological type). The data demonstrated that this congregation (N = 65) displayed clear preferences for judging (72%) over perceiving (28%) and for sensing (62%) over intuition (39%), slight preference for extraversion (54%) over introversion (46%) and a fairly close balance between feeling (51%) and thinking (49%), and included attenders who reflected all three religious orientations: intrinsic, extrinsic, and quest. Moreover, extraverts recorded significantly higher scores than introverts on the measure of extrinsic religiosity, while introverts recorded significantly higher scores than extraverts on the measure of intrinsic religiosity, demonstrating a link between psychological type and religious orientation

    New variance reduction methods in Monte Carlo rare event simulation

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    Para sistemas que proveen algún tipo de servicio mientras están operativos y dejan de proveerlo cuando fallan, es de interés determinar parámetros como, por ejemplo, la probabilidad de encontrar el sistema en falla en un instante cualquiera, el tiempo medio transcurrido entre fallas, o cualquier medida capaz de reflejar la capacidad del sistema para proveer servicio. Las determinaciones de estas medidas de seguridad de funcionamiento se ven afectadas por diversos factores, entre ellos, el tamaño del sistema y la rareza de las fallas. En esta tesis se estudian algunos métodos concebidos para determinar estas medidas sobre sistemas grandes y altamente confiables, es decir sistemas formados por gran cantidad de componentes, en los que las fallas del sistema son eventos raros. Ya sea en forma directa o indirecta, parte de las las expresiones que permiten determinar las medidas de interés corresponden a la probabilidad de que el sistema se encuentre en algún estado de falla. De un modo u otro, estas expresiones evaluan la fracción —ponderada por la distribución de probabilidad de las configuraciones del sistema—entre el número de configuraciones en las que el sistema falla y la totalidad de las configuraciones posibles. Si el sistema es grande el cálculo exacto de estas probabilidades, y consecuentemente de las medidas de interés, puede resultar inviable. Una solución alternativa es estimar estas probabilidades mediante simulación. Uno de los mecanismos para hacer estas estimaciones es la simulación de tipo Monte Carlo, cuya versión más simple es la simulación en crudo o estándar. El problema es que si las fallas son raras, el número de iteraciones necesario para estimar estas probabilidades mediante simulación estándar con una precisión aceptable, puede resultar desmesuradamente grande. En esta tesis se analizan algunos métodos existentes para mejorar la simulación estándar en el contexto de eventos raros, se hacen análisis de varianza y se prueban los métodos sobre una variedad de modelos. En todos los casos la mejora se consigue a costa de una reducción de la varianza del estimador con respecto a la varianza del estimador estándar. Gracias a la reducción de varianza es posible estimar la probabilidad de ocurrencia de eventos raros con una precisión aceptable, a partir de un número razonable de iteraciones. Como parte central del trabajo se proponen dos métodos nuevos, uno relacionado con Spliting y otro relacionado con Monte Carlo Condicional. Splitting es un método de probada eficiencia en entornos en los que se busca evaluar desempeño y confiabilidad combinados, escasamente utilizado en la simulación de sistemas altamente confiables sobre modelos estáticos (sin evolución temporal). En vi su formulación básica Splitting hace un seguimiento de las trayectorias de un proceso estocástico a través de su espacio de estados y multiplica su número ante cada cruce de umbral, para un conjunto dado de umbrales distribuidos entre los estados inicial y final. Una de las propuestas de esta tesis es una adaptación de Splitting a un modelo estático de confiabilidad de redes. En el método propuesto se construye un proceso estocástico a partir de un tiempo ficticio en el cual los enlaces van cambiando de estado y se aplica Splitting sobre ese proceso. El método exhibe elevados niveles de precisión y robustez. Monte Carlo Condicional es un método clásico de reducción de varianza cuyo uso no está muy extendido en el contexto de eventos raros. En su formulación básica Monte Carlo Condicional evalúa las probabilidades de los eventos de interés, condicionando las variables indicatrices a eventos no raros y simples de detectar. El problema es que parte de esa evaluación incluye el cálculo exacto de algunas probabilidades del modelo. Uno de los métodos propuestos en esta tesis es una adaptación de Monte Carlo Condicional al análisis de modelos Markovianos de sistemas altamente confiables. La propuesta consiste en estimar las probabilidades cuyo valor exacto se necesita, mediante una aplicación recursiva de Monte Carlo Condicional. Se estudian algunas características de este modelo y se verifica su eficiencia en forma experimental.For systems that provide some kind of service while they are operational and stop providing it when they fail, it is of interest to determine parameters such as, for example, the probability of finding the system failed at any moment, the mean time between failures, or any measure that reflects the capacity of the system to provide service. The determination of these measures —known as dependability measures— is affected by a variety of factors, including the size of the system and the rarity of failures. This thesis studies some methods designed to determine these measures on large and highly reliable systems, i.e. systems formed by a large number of components, such that systems’ failures are rare events. Either directly or indirectly, part of the expressions for determining the measures of interest correspond to the probability that the system is in some state of failure. Somehow, this expressions evaluate the ratio —weighted by the probability distribution of the systems’ configurations— between the number of configurations in which the system fails and all possible configurations. If the system is large, the exact calculation of these probabilities, and consequently of the measures of interest, may be unfeasible. An alternative solution is to estimate these probabilities by simulation. One mechanism to make such estimation is Monte Carlo simulation, whose simplest version is crude or standard simulation. The problem is that if failures are rare, the number of iterations required to estimate this probabilities by standard simulation, with acceptable accuracy, may be extremely large. In this thesis some existing methods to improve the standard simulation in the context of rare events are analyzed, some variance analyses are made and the methods are tested empirically over a variety of models. In all cases the improvement is achieved at the expense of reducing the variance of the estimator with respect to the standard estimator’s variance. Due to this variance reduction, the probability of the occurrence of rare events, with acceptable accuracy, can be achieved in a reasonable number of iterations. As a central part of this work, two new methods are proposed, one of them related to Splitting and the other one related to Conditional Monte Carlo. Splitting is a widely used method in performance and performability analysis, but scarcely applied for simulating highly reliable systems over static models (models with no temporal evolution). In its basic formulation Splitting keeps track of the trajectories of a stochastic process through its state space and it splits or multiplies the number of them at each threshold cross, for a given set of thresholds distributed between the initial and the final state. One of the proposals of this thesis is an adaptation of Splitting to a static network reliability model. In the proposed method, a fictitious time stochastic process in which the network links keep changing their state is built, and Splitting is applied to this process. The method shows to be highly accurate and robust. Conditional Monte Carlo is a classical variance reduction technique, whose use is not widespread in the field of rare events. In its basic formulation Conditional Monte Carlo evaluates the probabilities of the events of interest, conditioning the indicator variables to not rare and easy to detect events. The problem is that part of this assessment includes the exact calculation of some probabilities in the model. One of the methods proposed in this thesis is an adaptation of Conditional Monte Carlo to the analysis of highly reliable Markovian systems. The proposal consists in estimating the probabilities whose exact value is needed, by means of a recursive application of Conditional Monte Carlo. Some features of this model are discussed and its efficiency is verified experimentally

    Perceiving the Reality of Time

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    The careful consideration of human perception through our lived experience reveals that time is something real. We perceive the reality of time through the nature of our “being” and how beings themselves are intricately connected to one another through temporal and special relationships. Perceiving time as experientially real is fundamental to the reality we experience. Hence, the fabric of space and all things; past, present, and future must be included as the foundational prerequisite form of all reality itself if we are to generate a theory of reality at all. By using our perception to examine both scientific and metaphysical assertions we will become better equipped to answer questions regarding time, space, temporality and reality and, perhaps learn something meaningful about the world

    The kinetics of irreversible electrochemical oxidation and reduction processes

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    I. The primary mechanism of the electrolytic oxidation of Sodium Sulphite appears to be due to a direct discharge, or partial discharge, of sulphite ions. Reaction with adsorbed oxygen may occur e.g. in sodium hydroxide solution where the two processes, electron transfer and formation of adsorbed oxygen, overlap. The occurrence of a secondary reaction with adsorbed oxygen would increase the yield of sulphate. A decrease in the yield of dithionate has been observed by Glasstone when the potential of the electrode rises. The deposition of a manganese oxide film may take place in the same region as the oxidation process, which would explain the suppression of the primary mechanism and the consequent decrease in current efficiency. The intermediate formation of hydrogen peroxide does not seem probable.II. The electrolytic reduction of acetone, formic acid and pyridine has been ascribed to a. secondary chemical reaction with atomic hydrogen. A peculiar adsorption effect appears to attend the reduction of pyridine at a platinum electrode.The reduction of nitrobenzene and benzaldehyde on the other hand appears to be due to a direct electron transfer between. the reducible substance and the electrode.In the cases where concentration polarisation effects have been observed, namely sodium sulphite, nitrobenzene and benzaldehyde, it has been shown that they obey the diffusion mechanism derived by Butler and Armstrong for reversible oxidation and reduction processes

    Tuberculous bronchial "emboli"

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    Gender and the Value of Trees in Mutoko Communal Area, Zimbabwe

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    This study examined the gender based differences in valuation of trees, as indicated by differences between men and women in the planting, care and use of tree resources. An analysis of differences in tree related behaviours between male headed households and female headed households was also undertaken. The study used a combination of quantitative and qualitative methodologies, including an interview schedule and card sort, supplemented by open-ended interviews and observations. The survey data were analysed using SPSS Windows. The study results indicate that trees were being planted and cared for in both male and female headed households and the majority of heads of households preferred multipurpose, fruit bearing tree species. There were differences in the types of tasks undertaken by men and women in both male and female headed households, the locus of decision making authority in the two types of households, and the uses of tree resources by men and women.Labor and Human Capital,

    How homonegative is the typical Anglican congregation? : applying the Robbins-Murray Religious Homonegative Orientation Scale (RHOS)

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    This paper set out to assess and profile attitudes toward homosexuality within one typical Anglican congregation. The majority of attendees (n=65, 42% men and 58% women) completed the Robbins-Murray Religious Homonegative Orientation Scale (an instrument embracing the following views on homosexuality: theological aspects, normativity, moral judgement, legal proscription, and affective response), together with indices concerned with demographic factors, religious factors and personality factors. Overall, the data demonstrated that the majority of churchgoers did not espouse a negative view of homosexuality. More proscriptive attitudes were associated with being male, with being older, with regular attendance, and with being more conservative. Individual differences in personality, however, were not significant predictors of views on homosexuality

    A History of the Whig Party in Louisiana.

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    Dioxygen activation and substrate hydroxylation by the hydroxylase component of toluene/O-xylene monooxygenase from pseudomonas sporium OX1

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    Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Chemistry, 2007.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.MIT Institute Archives copy includes accompanying CDROM with copy of thesis in .pdf format."September 2007." Vita.Includes bibliographical references.Non-heme carboxylate-bridged diiron centers in the hydroxylase components of the bacterial multicomponent monooxygenases activate dioxygen at structurally homologous active sites. Catalysis requires the management of four substrates: electrons, protons, dioxygen, and hydrocarbons. Protein component complexes control the delivery of these substrates to the diiron center in the hydroxylase ensuring selective hydrocarbon oxidation. A detailed mechanistic understanding of structural and chemical consequences of such interactions is a significant challenge. This thesis begins with an overview of our current understanding of these processes. The discussion is primarily on the methane monooxygenase systems (MMO) because these have been the most extensively studied BMMs to date. Recent results for the toluene/o-xylene monooxygenase (ToMO) and phenol hydroxylase systems from Pseudomonas sporium OX1 are also briefly summarized, the former being the research focus of this dissertation. Restricting access to the diiron center in ToMOH and other non-heme carboxylate-bridged diiron proteins was proposed to facilitate observation of oxygenated intermediates. To examine this hypothesis, dioxygen activation in ToMOH mutants that were predicted to occlude this channel was investigated by rapid-freeze quench (RFQ) EPR, Mossbauer, and ENDOR spectroscopy and stoppedflow optical spectroscopy. For the I100W mutant, a transient species is observed with an absorption maximum at 500 nm. EPR and Mossbauer spectra of RFQ samples identified this species as a diiron(III,IV) cluster spin-coupled to a neutral W radical. ENDOR spectra of this intermediate confirmed the protonation state and type of the amino acid radical and also identified a labile terminal water or hydroxide on the diiron center.(cont.) Decay of this intermediate results in hydroxylation of the W radical. A diamagnetic precursor to the mixed-valent diiron(III,IV) center was also observed at an earlier time-point, with Mossbauer parameters typical of high-spin FeIII. We have tentatively assigned this antiferromagnetically-coupled diiron(III) intermediate as a peroxo-bridged cluster. A similar diiron(III) species is observed in RFQ Mossbauer samples from the reaction of reduced wild type hydroxylase with dioxygen. Substrate accelerates the decay rate of this species, providing evidence for the diiron(III) transient as the active oxidant. Under steady state conditions, hydrogen peroxide was generated in the absence of substrate. The oxidized hydroxylase also decomposed hydrogen peroxide to liberate dioxygen if no reducing equivalents were present. This catalase activity suggests that dioxygen activation could be reversible. The linear free energy relationship determined from steady state hydroxylation of para substituted phenols has a negative slope. A value of ? < 0 is indicative of electrophilic attack on the aromatic substrate by the oxidizing diiron(III) intermediate. The results from these steady state and pre-steady experiments provide compelling evidence that the diiron(III) transient is the active oxidant in ToMO and is a peroxodiiron(III) transient, despite differences between the optical and Mossbauer spectroscopic parameters and those of other peroxodiiron(III) centers. Enzymatic oxidation of the radical clock substrate probe, norcarane, by ToMO gives rise to both desaturation and hydroxylation products, norcarenes and norcaranols respectively.(cont.) Norcarenes are better substrates for this enzyme system than norcarane, producing additional oxidation products. In all, more than twenty oxidation products were characterized in these reaction mixtures, half of which arose from norcarene oxidation. Accounting for these secondary oxidation products, we determined that no substrate radical intermediates with a significant lifetime (t < 25 ps) are formed during catalysis.by Leslie Justin Murray.Ph.D
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