The purpose of this study was to examine the degree vi of redundancy between two prominent cognitive theories of depression: Beck's cognitive triad and Seligrnan's attributional triad. Three hundred and eighteen subjects were recruited from nine different psychology courses at Utah State University and affiliated locations across the state. Subjects completed the Cognitive Triad Inventory (CTI), the Attributional Style Questionnaire (ASQ), and the Beck Depression Inventory (BDI). Results indicate that the three CTI subscales (self, world, and future) and the three ASQ subscales (internal, global, and stable) did not correlate sufficiently to merit integration across measures. However, factor analyses reduced the three CTI constructs to two factors: a security/insecurity factor and the presence/absence of stressors. The ASQ also was reducible to two factors: a global/stable factor and an internal factor. The new CTI and ASQ factors could predict depression scores on the BDI equally as well as the CTI subscales and ASQ subscales, respectively.

<p>The procedure of determining if a site is suitable for wind power production requiresconvincing statistical data describing the long-term behavior of the average wind speed.This can be achieved by measuring the wind speed for a short time period, e.g. a year,and after that a Measure-Correlate-Predict (MCP) method can be performed. The shorttermmeasured wind data must be used in combination with a long-term referenceseries. This long-term reference series can be global reanalysis data reaching 20 to 30years back in time. In a MCP method different regression methods can be used. Aftercreating a long-term corrected wind data series, it is possible to analyze the conditionsat the investigated site. To be able to study the behavior of different reference series andregression methods, a model was created in MATLAB. As short-term wind speed dataVattenfall Wind Power supplied data from two measuring masts, Ringhals andOskarshamn, with maximum heights of 96 and 100 meters, respectively. From UppsalaUniversity data were supplied from a measuring mast near Marsta with maximummeasurement height of 29 meters.When creating these long-term corrected wind data series there were many methodsavailable. In this Master thesis methods such as Ordinary-Least-Square, Least-Absolute-Deviation and Reduced-Major-Axis regression methods have been used. With eachmethod three reference series were used in combination with the short-termmeasurement data. These were data from NCAR 850 hPa, NCAR 42-meter sigma leveland a confidential source.Regression methods in combination with reference series were studied and the deviationfrom mean wind speed was obtained for each of these cases. Studies were performed onhow the length of the short-term measurement series affected the deviation from themeasured mean wind speed. It was also investigated if the time of the year had anyinfluence on the measurements.The general conclusion drawn after performing the above-mentioned studies was thatthe NCAR 850 hPa wind speed data and the Reduced-Major-Axis regression methodgave the smallest deviation from the measured mean wind speed in most cases. It wasalso concluded that when a short-term measurement series reached 10 to 14 monthsthere was a significant decrease in deviation from the mean wind speed, regardless ofreference series or method used. Calculations from the model regarding seasonaldependence stated that there was a slight dependency on which period of the year ameasurement was performed.</p> / <p>I processen att bedöma om en plats är lämplig för utbyggnad av vindkraft måste detfinnas övertygande statistiska data som beskriver den genomsnittliga vindhastighetenöver en längre tid. Genom att utföra vindhastighetsmätningar på den tänkta platsenunder en kortare tid, exempelvis ett år, och därefter tillämpas en Measure-Correlate-Predict (MCP) metod i kombination med en långtidsreferens, exempelvis en globalmodell som sträcker sig 20 till 30 år bakåt i tiden kan detta göras. I en MCP-metod kanolika typer av regressionsmetoder användas. När en långtidskorrigerad vinddataseriefinns tillgänglig kan dess beteende på den tänkta platsen analyseras. För att kunna göradetta för flera olika typer av referensserier och regressionsmetoder skapades en modell iMATLAB. Två vinddataserier erhölls från Vattenfall Vindkraft. Dessa var Ringhals ochOskarshamn med högsta mäthöjd på 96 respektive 100 meter. En ytterligarevinddataserie erhölls av Uppsala Universitet från en mätmast nära Marsta med högstamäthöjd på 29 meter.Det fanns flera metoder tillgängliga för att skapa de långtidskorrigeradevinddataserierna. I det här examensarbetet har metoderna Ordinary-Least-Square-,Least-Absolute-Deviation- och Reduced-Major-Axis regressioner använts. För varjemetod testades tre referensserier i kombination med de kortare vinddataserierna. Dessavar NCAR 850 hPa vindhastigheter, NCAR 42 meters sigmanivå vindhastigheter ochannan meteorologisk data.Regressionsmetoderna utvärderades genom att avvikelsen från de kortare mätseriernasmedelvindhastigheter beräknades. Det undersöktes också hur längden på användvinddata från de kortare mätserierna påverkade avvikelsen i medelvindhastighet och omdet fanns något säsongsberoende på när under året som mätningen av vinddata vargjord.Slutsatserna från undersökningarna var att NCAR 850 hPa vindhastigheter ochregressionsmetoden Reduced-Major-Axis generellt gav de lägsta avvikelserna frånuppmätt medelvindhastighet. Slutsatser kunde också dras om längden av användmätdata. Det var tydligt att oavsett referensserie och regressionsmetod uppstod enminskningen i avvikelse från medelvindhastigheten mellan 10 till 14 månaders längd påmätserien. Resultat angående säsongsberoende kunde påvisas i form av avvikelsermellan mätningar gjorda under olika tidpunkter på året. Storlek och tecken påavvikelsen berodde på vilken referensserien i kombination med regressionsmetod somanvändes.</p>

The procedure of determining if a site is suitable for wind power production requiresconvincing statistical data describing the long-term behavior of the average wind speed.This can be achieved by measuring the wind speed for a short time period, e.g. a year,and after that a Measure-Correlate-Predict (MCP) method can be performed. The shorttermmeasured wind data must be used in combination with a long-term referenceseries. This long-term reference series can be global reanalysis data reaching 20 to 30years back in time. In a MCP method different regression methods can be used. Aftercreating a long-term corrected wind data series, it is possible to analyze the conditionsat the investigated site. To be able to study the behavior of different reference series andregression methods, a model was created in MATLAB. As short-term wind speed dataVattenfall Wind Power supplied data from two measuring masts, Ringhals andOskarshamn, with maximum heights of 96 and 100 meters, respectively. From UppsalaUniversity data were supplied from a measuring mast near Marsta with maximummeasurement height of 29 meters.When creating these long-term corrected wind data series there were many methodsavailable. In this Master thesis methods such as Ordinary-Least-Square, Least-Absolute-Deviation and Reduced-Major-Axis regression methods have been used. With eachmethod three reference series were used in combination with the short-termmeasurement data. These were data from NCAR 850 hPa, NCAR 42-meter sigma leveland a confidential source.Regression methods in combination with reference series were studied and the deviationfrom mean wind speed was obtained for each of these cases. Studies were performed onhow the length of the short-term measurement series affected the deviation from themeasured mean wind speed. It was also investigated if the time of the year had anyinfluence on the measurements.The general conclusion drawn after performing the above-mentioned studies was thatthe NCAR 850 hPa wind speed data and the Reduced-Major-Axis regression methodgave the smallest deviation from the measured mean wind speed in most cases. It wasalso concluded that when a short-term measurement series reached 10 to 14 monthsthere was a significant decrease in deviation from the mean wind speed, regardless ofreference series or method used. Calculations from the model regarding seasonaldependence stated that there was a slight dependency on which period of the year ameasurement was performed. / I processen att bedöma om en plats är lämplig för utbyggnad av vindkraft måste detfinnas övertygande statistiska data som beskriver den genomsnittliga vindhastighetenöver en längre tid. Genom att utföra vindhastighetsmätningar på den tänkta platsenunder en kortare tid, exempelvis ett år, och därefter tillämpas en Measure-Correlate-Predict (MCP) metod i kombination med en långtidsreferens, exempelvis en globalmodell som sträcker sig 20 till 30 år bakåt i tiden kan detta göras. I en MCP-metod kanolika typer av regressionsmetoder användas. När en långtidskorrigerad vinddataseriefinns tillgänglig kan dess beteende på den tänkta platsen analyseras. För att kunna göradetta för flera olika typer av referensserier och regressionsmetoder skapades en modell iMATLAB. Två vinddataserier erhölls från Vattenfall Vindkraft. Dessa var Ringhals ochOskarshamn med högsta mäthöjd på 96 respektive 100 meter. En ytterligarevinddataserie erhölls av Uppsala Universitet från en mätmast nära Marsta med högstamäthöjd på 29 meter.Det fanns flera metoder tillgängliga för att skapa de långtidskorrigeradevinddataserierna. I det här examensarbetet har metoderna Ordinary-Least-Square-,Least-Absolute-Deviation- och Reduced-Major-Axis regressioner använts. För varjemetod testades tre referensserier i kombination med de kortare vinddataserierna. Dessavar NCAR 850 hPa vindhastigheter, NCAR 42 meters sigmanivå vindhastigheter ochannan meteorologisk data.Regressionsmetoderna utvärderades genom att avvikelsen från de kortare mätseriernasmedelvindhastigheter beräknades. Det undersöktes också hur längden på användvinddata från de kortare mätserierna påverkade avvikelsen i medelvindhastighet och omdet fanns något säsongsberoende på när under året som mätningen av vinddata vargjord.Slutsatserna från undersökningarna var att NCAR 850 hPa vindhastigheter ochregressionsmetoden Reduced-Major-Axis generellt gav de lägsta avvikelserna frånuppmätt medelvindhastighet. Slutsatser kunde också dras om längden av användmätdata. Det var tydligt att oavsett referensserie och regressionsmetod uppstod enminskningen i avvikelse från medelvindhastigheten mellan 10 till 14 månaders längd påmätserien. Resultat angående säsongsberoende kunde påvisas i form av avvikelsermellan mätningar gjorda under olika tidpunkter på året. Storlek och tecken påavvikelsen berodde på vilken referensserien i kombination med regressionsmetod somanvändes.

Previous experiences with mathematics, particularly negative ones, can influence an individual’s attitudes toward mathematics. Children’s first experiences with mathematics are often in their childcare settings. Elementary teachers appear to have more mathematics anxiety than other professionals, but the level of mathematics anxiety among childcare providers is not known. The presence of mathematics anxiety correlates with lower teacher self-efficacy or the teacher’s belief of how effective he/she is in influencing a student’s learning. Grounded in Bandura’s theory of self-efficacy, this study examined the level of mathematics anxiety and teacher self-efficacy among 122 licensed Utah childcare providers in center and family home childcare. Providers responded to a survey assessing their attitudes about mathematics, feelings of teacher self-efficacy, frequency of developmentally appropriate mathematics and reading activities in the childcare program, and demographic information. Descriptive statistics, correlations, and one-way ANOVAs were calculated. Results indicate that the participants reported more favorable than anxious attitudes toward mathematics as well as moderately high feelings of teacher self-efficacy. There were no statistically significant differences in mathematics anxiety or teacher self-efficacy by the type of childcare provided, provider’s level of education, or years of experience. Results of the ANOVAs revealed that the best predictors of mathematics anxiety were provider attitudes toward reading/literacy as well as the number of developmentally appropriate mathematics and reading activities provided. As providers showed an increase in favorable attitudes toward reading/literacy, they also expressed less mathematics anxiety. This is the first study of its kind to assess these variables among childcare providers.

The ability to experience, use, and eventually control anger is crucial for maintaining well-being, achieving our goals, and building healthy relationships. Despite its relevance, the neural and psychological mechanisms behind this emotion are still in their early stages. Therefore, the present work represents an effort towards the investigation of these features of anger, where the ambition is to take a step forward to bridge the gaps between the research and clinical fields. Chapter 1 will expose an introduction on anger, while Chapter 2 will expose the evidence in literature on the neural bases of anger relying on a meta-analytic approach, where the neural bases of anger perception and anger experience will be investigated. Chapter 3 relies on a multivariate data-driven approach in order to study the neural networks of anger-related individual differences, identifying a structural network associated with trait anger and a functional network associated with anger control. Chapter 4 focuses on the neural bases of other anger-related individual differences, relying on functional connectivity analysis to investigate the frontal asymmetry hypothesis, finding an association of a left pattern of connectivity with anger externalization and a right pattern of connectivity with anger internalization. Finally, the following two chapters focused on the regulation of anger, in particular considering two different strategies, reappraisal versus suppression, and the related effect of a mindfulness course on the regulation of anger. The final chapter will summarize the evidence provided in this thesis in order to integrate the different results.

Le titre sérique d'anticorps anti-hémagglutinine (HA) est reconnu comme corrélat de la protection à l'infection grippale. Cette thèse examine le rôle du titre d'anticorps HA comme corrélat de protection dans le contexte d'une seule infection, puis considère l'effet des expositions répétées sur la réponse immunitaire.Premièrement, l'association entre l'infection grippale par le virus A(H1N1)pdm09 et 167 variables a été explorée. Cette étude montre l'interaction complexe de facteurs qui influent sur le risque d'infection: les titres d'anticorps pré-épidémiques sont protecteurs, mais des facteurs tels que les comportements collectifs peuvent avoir un rôle important. Deux travaux réalisés dans le cadre de ce projet de thèse se basent sur les sérologies d'une cohorte française. Nous avons trouvé un association entre le titre d'anticorps dirigés contre le virus circulant 2007 A(H1N1) et le risque d'infection, la protection associée à ce titre variant avec l'âge. Une étude sur l'évolution du titre d'anticorps montre que celui-ci peut rester élevé jusqu'à deux ans après l'infection. Afin d'étudier les conséquences des expositions aux virus grippaux, nous avons modélisé les titres d'anticorps en fonction de l'âge des sujets lors de la circulation initiale de virus: la réponse immunitaire la plus importante concernant les souches A(H1N1) auxquelles les sujets ont été exposés pendant l'enfance. Ces études soutiennent l'utilisation du titre d’anticorps comme corrélat immunitaire de protection et suggèrent que d'autres facteurs peuvent influencer l'immunité anti-grippale. L'interprétation de la sérologie et les sérologiques d'homologation du vaccin devraient être indépendants de l'âge. / Hemagglutination inhibition (HI) antibody titer is widely recognized as the main immune correlate of protection against influenza infection. This thesis examines the role of HI titer as a correlate of protection in the context of a single infection, and then considers the effect of repeated exposures on the immune response.HI titer was first studied among 167 covariates in an exploratory analysis to identify determinants of A(H1N1)pdm09 infection using data from a cohort of 601 households representative of the general population. This study shows the complex interaction of factors influencing risk of infection; results suggest that pre-epidemic HI titers are protective and factors such as collective behaviors may also have an important role.Two studies were based on data from a cohort investigating determinants of recurrent influenza infection. The relationship between HI titer and protection against natural seasonal 2007 A(H1N1) infection was explored; the age-adjusted model suggests differences in the HI protection curve according to age group. Longitudinal analysis suggests that recent seasonal infection may have protected against A(H1N1)pdm09 infection. We also investigated the effects of repeated influenza exposures on HI titer: our results show evidence of a strong immune response to A(H1N1) strains circulating in early childhood. These studies support the use of HI titer as the main immune correlate of protection against influenza infection and suggest that other factors may have influence on immunity to infection. Age should be considered in interpretation of serology and serological criteria for influenza vaccine licensure.

No description available.

Baigiamajame magistro darbe nagrinėjamas Lietuvos nacionalinis mokėjimo balansas, jo struktūra, reguliavimo metodai, plačiau nagrinėjama einamoji mokėjimo balanso sąskaita ir jos deficitas. Atliekama statistinių nacionalinio mokėjimų balanso duomenų analizė nuo 1998 iki 2007 metų. Vertinama mokėjimų balanso sąskaitų (einamosios, kapitalo, finansinės) tarpusavio priklausomybė bei nagrinėjamas ryšys visų mokėjimų balanso sąskaitų su BVP. Galiausiai atliekamas nacionalinio mokėjimų balanso prognozavimas slenkančio vidurkio bei ekponentinio išlyginimo metodai, kad galima būtų numatyti jo perspektyvas. Išnagrinėjus teorinius ir praktinius Lietuvos mokėjimo balanso bei einamosios sąskaitos aspektus, pateikiamos išvados ir siūlymai. / In this final master work under consideration are Lithuania national payments balance, its structure and regulation methods. Enlarge under consideration are current payments account and its deficit. Statistical national payments balance data analysis is executable from 1998 to 2007. Payments balance accounts (current, fund, financial) interdependence are well considered and relation common balance of payments account with GDP is pending in this work. At last national balance of payments prognostication is feasable in few methods to see its perspectives in future. After theoretical and practical aspects inspecting, finding and offering are proposed.

The doctoral thesis presents various methods of wind data analysis. Its first part summarizes the undesirable factors that influence the measured wind data. In particular, the effects of anemometer placement with regard to the near-by obstacles are investigated. In addition to the theoretical review, the practical examples of analysis of these effects at the wind mast measurements are demonstrated. The second part is focused on the measure-correlate-predict methods. Two original matrix-type methods are presented. Furthermore, a comparison of accuracy of measure-correlate-predict methods for various types of reference data series, various methods and various configurations of applied methods has been performed. The reanalyzed wind proved to be a suitable source of reference data in most cases. The applicability of surface wind data from meteorological stations depends on the combination of reference and target series, as well as on the homogeneity of involved data. The newly introduced methods proved to be suitable and universal tool for measure-correlate-predict application. The final part of the thesis analyses the wind conditions over the Czech Republic. Besides to the overview of the knowledge of the Czech wind climate, the calculation of the wind map of the Czech Republic is described. The final map was...

This research evaluates the relationship between various individual differences constructs and performance on a past behavior interview (PBI)-one of the most popular forms of personnel selection interviews used today-within a sample of business unit leader level incumbents and applicants from organizations across the United States. Correlation analysis is conducted on the relationship between overall performance on a PBI and four work-related constructs: Experience, Motivation, Personality, and Cognitive Ability. The existing literature on PBIs and the four independent variables is critically reviewed. As limited research has been conducted on the influence of Experience and Motivation on PBI performance, this study makes unique contributions to the literature regarding impact of these two constructs. The major hypotheses stated that Experience and Motivation would yield significant, positive correlations with PBI performance while Personality and Cognitive Ability would not be significantly correlated with PBIs. Results partially supported the hypotheses-Experience, Motivation, and Personality were significantly related to overall PBI score, while Cognitive Ability was not. Implications for the findings as well as suggestions for future research are discussed.