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1

Li, Qiang, i n/a. "The Measurement of Short- and Long- Term Returns of Chinese Initial Public Offerings and the Identification of Corporate Governance Variables That May Explain These Returns". Griffith University. Griffith Business School, 2006. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20061017.155437.

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This thesis examines the relationship between the aftermarket performance of Chinese initial public offerings (IPOs) and corporate governance for firms that listed during the years 1999 to 2001. The primary objective of this study is to investigate the significance of corporate governance variables as explanations of IPOs aftermarket performance. By doing so, a set of hypotheses dealing with the relationships between IPO aftermarket performance and three categories of independent variables: corporate governance variables; issue variables; and control variables, were examined. The descriptive analysis indicates that IPOs in China continue to provide significant short-term returns to investors, although the level of underpricing has declined from that found in earlier studies. This finding suggests a growing level of maturity and sophistication in the Chinese IPO market. The analysis of long-term performance indicates negative returns to investors which is consistent with international evidence but challenges the bulk of prior Chinese studies. It is found that there is no significant relationship between corporate governance variables and IPO returns in the short-term with the exception of board composition, while IPO underpricing is primarily explained by the imbalance between supply and demand and the inefficient capital market in China. The significance of board composition can be explained by the launch of the new corporate governance code on board structures in 2001. Overall the empirical evidence shows that the Information Asymmetry Hypothesis is an appropriate explanation of the underpricing of Chinese IPOs. In the long-term, it is found that corporate governance variables do have explanatory power for the market performance of Chinese IPOs, in particular state ownership and the separation of Chairman and CEO, supporting the notion that corporate governance appears to be important to IPO investors in the long-term. It also confirms the view that investors are willing to pay a premium for the shares of what they consider to be well-governed firms in the long-term. Besides corporate governance variables, both issue variables and control variables are also found to have explanatory power in IPO aftermarket performance. In particular firm size, IPO offer price, IPO lottery rate and industry are significantly related to IPO short-term performance in China, while growth in earning per share, firm size and industry are related to the long-term market performance.
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2

Li, Qiang. "The Measurement of Short- and Long- Term Returns of Chinese Initial Public Offerings and the Identification of Corporate Governance Variables That May Explain These Returns". Thesis, Griffith University, 2006. http://hdl.handle.net/10072/367285.

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This thesis examines the relationship between the aftermarket performance of Chinese initial public offerings (IPOs) and corporate governance for firms that listed during the years 1999 to 2001. The primary objective of this study is to investigate the significance of corporate governance variables as explanations of IPOs aftermarket performance. By doing so, a set of hypotheses dealing with the relationships between IPO aftermarket performance and three categories of independent variables: corporate governance variables; issue variables; and control variables, were examined. The descriptive analysis indicates that IPOs in China continue to provide significant short-term returns to investors, although the level of underpricing has declined from that found in earlier studies. This finding suggests a growing level of maturity and sophistication in the Chinese IPO market. The analysis of long-term performance indicates negative returns to investors which is consistent with international evidence but challenges the bulk of prior Chinese studies. It is found that there is no significant relationship between corporate governance variables and IPO returns in the short-term with the exception of board composition, while IPO underpricing is primarily explained by the imbalance between supply and demand and the inefficient capital market in China. The significance of board composition can be explained by the launch of the new corporate governance code on board structures in 2001. Overall the empirical evidence shows that the Information Asymmetry Hypothesis is an appropriate explanation of the underpricing of Chinese IPOs. In the long-term, it is found that corporate governance variables do have explanatory power for the market performance of Chinese IPOs, in particular state ownership and the separation of Chairman and CEO, supporting the notion that corporate governance appears to be important to IPO investors in the long-term. It also confirms the view that investors are willing to pay a premium for the shares of what they consider to be well-governed firms in the long-term. Besides corporate governance variables, both issue variables and control variables are also found to have explanatory power in IPO aftermarket performance. In particular firm size, IPO offer price, IPO lottery rate and industry are significantly related to IPO short-term performance in China, while growth in earning per share, firm size and industry are related to the long-term market performance.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Griffith Business School
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3

ALNASRALLAH, MOHAMMAD A. "GEOGRAPHIC DISPARITIES OF OBESITY AS A PUBLIC HEALTH ISSUE IN SUMMIT COUNTY, OHIO". Kent State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=kent1436765800.

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4

Earl, Judith Kavanaugh. "Assessing the issue of arbitrariness in capital sentencing in North Carolina are the effects of legally relevant variables racially invariant? /". [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001370.

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5

LaMontagne, Tamara Marie. "Psychosocial Differences in Far Right, Far Left, Islamic, and Single Issue Lone Extremists". ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/6451.

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Acts of lone extremism are on the rise, yet little is known about who commits these acts. Research in this area has failed to delineate by extremist subtype. This has led to the misconception these acts and actors present with such variance psychosocially that they cannot be predicted. The purpose of this research was to assess whether statistically significant relationships exist between lone extremist subtypes on the psychosocial variables of mental illness, substance use, and having radicalized friends or family members. The conceptual framework for this study was De La Corte's psychosocial principles of terrorism, which addressed the social and political influences of terrorism with the complex psychosocial constructs that may exist. The Profiles of Individual Radicalization in the United States was chosen as the dataset and includes de-identified individual-level information on 1,865 extremists. The research questions that guided this study sought to determine if significant differences exist between 4 lone extremist subtypes across 4 psychosocial variables. Crosstabulation analysis and multiple chi-square tests for independence were used to test the relationship between categorical variables. Statistically significant relationships were found among each lone extremist subtype and having radicalized family members and friends (p=.00). In terms of mental illness, far left extremists were the only extremist subtype that yielded a significant relationship (p=.00). Also, a significant relationship was found between substance use and far right (p=.00), far left (p=.01), and single issue (p=.04) extremists. In terms of social change, this research presented support for studying lone extremism by subtype and also provided a foundation towards constructing a predictive model.
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6

Kemerer, Kevin L. "Accounting variables, stock splits and when-issued trading". Diss., Virginia Tech, 1990. http://hdl.handle.net/10919/39702.

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When-issued trading, the contractual agreement for the sale and purchase of shares to be issued in the future (when-issued securities), typically occurs after stock split announcements. Curiously, when-issued trading does not always exist for a stock-splitting firm's shares even though the shares are eligible for when-issued trading. Although stock splits have been the subject of a large number of studies, intriguing questions concerning these events remain unanswered. In particular, academia has yet to explain adequately the positive average abnormal returns associated with stock split announcements. These two peculiar phenomena are examined. A major objective of this dissertation is to determine whether there are systematic differences between those stock-splitting firms whose shares are traded on a when-issued basis and those whose shares arc not. A logistic regression model was constructed, using information with respect to nine accounting variables, to determine if there are systematic differences in accounting information that are useful in classifying stock-splitting firms as being associated with when-issued trading. The classification accuracy of the logistic regression model was significantly better than a random walk model, but was not better than the maximum chance model. The results of the final model indicate that size of the stock-splitting firm is the most significant factor affecting the probability that a stock-splitting firm's shares are traded on a when-issued basis. The probability that a stock-splitting firm's shares will be traded on a when-issued basis increases with firm size. The presence/absence of when-issued trading indicates that investors do not react to stock splits in a consistent manner. Therefore, the stock price behavior around the stock split announcements was examined and the difference in the reaction to announcements of when-issued traded and non-when-issued traded firms was tested for statistical significance. The results indicate that the market responds more favorably to the stock split announcements made by non-when-issued traded firms. The variation in the stock price behavior over a two-day stock split announcement period was analyzed cross-sectionally to determine whether the market reaction displayed through stock prices is related to selected accounting variables. Again, size was the most significant factor. In this case, size was negatively related to the stock price behavior suggesting that stockholders of larger firms earn lower abnormal returns. Another interpretation would be that stock splits are viewed more favorably if authorized by smaller firms. Overall, the results of this study suggest that all stock-splitting firms are not similar and that the market does not react consistently to the announcement of stock splits of all firms. It seems that the larger the firm, the more likely its shares will be traded on a when-issued basis after the stock split is announced. Furthermore, the market does not react as positively to stock split announcements of larger firms as it does to announcements of smaller firms. My conclusion is that larger firms are more efficiently valued and, accordingly, the announcements of stock splits by larger firms are less informative than for smaller ones.
Ph. D.
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7

Henningsen, David. "Cost as an independent variable : implementation issues". Thesis, Monterey, California. Naval Postgraduate School, 1997. http://hdl.handle.net/10945/8159.

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This thesis will examine challenges defense department managers face when implementing the cost as an independent variable (CAIV) concept of cost control. The CAIV concept replaces the design-to-cost (DTC) concept which only achieved limited success. Emphasis is placed on identifying issues that managers faced implementing the DTC concept. These issues are analyzed to determine the potential cause of the issue and the impact the issue may have on programs implementing CAIV. It is the contention of this thesis that the CAIV concept and the DTC concept are in theory, virtually identical. Many of the same issues will surface during CAIV implementation that managers faced implementing DTC. CAIV may become another ineffective cost control measure. However, DTC was not usually implemented as intended by the guidance. In addition, acquisition reform has provided the manager implementing the CMV concept significant advantages over previous managers. With full management support, programs implementing the CAIV concept can succeed and provide cost effective systems that meet the needs of the user
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8

Davis, John Mark. "Personality variables mediating change in concern toward environmental issues". Master's thesis, University of Central Florida, 1990. http://digital.library.ucf.edu/cdm/ref/collection/RTD/id/47540.

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University of Central Florida College of Arts and Sciences Thesis
Researchers have for several decades examined the relationships between personality and demographic variables, pro-environmental behaviors, and level of convern toward environmental problems. In this study, personality and selected demographic variables contriubting to an increase in convern toward environmental issues were examined. Subjects included 79 females and 46 males with a mean age of 22.5 years who were enrolled in undergraduate cources at the University of Central Florida. During the first session, information concerning personality and demographic variables was obtained and subjects completed Weigel and Weigel's (1978) Ecological Concern Scale (ECS). During the second session, experimental group subjects viewed a video tape addressing environmental issues, while the control group viewed a video tape examining health issues. Subjects were then retested using the ECS. The ANCOVA demonstrated that experimental group subjects exhibited a significant increase in environmental concern compared to the control group (F) (1, 112) = 8.40, p<.005). However, personality and demographic variables were not significantly associated with increase in concern for experimental group subjects.
M.S.
Masters
Arts and Sciences
Clinical Psychology
58 p.
iv, 58 leaves, bound : ill. ; 28 cm.
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9

Truntzer, Caroline. "Évaluation de modèles pronostiques issus de l'analyse dutranscriptome". Phd thesis, Université Claude Bernard - Lyon I, 2007. http://tel.archives-ouvertes.fr/tel-00161161.

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L'enjeu de l'étude du transcriptome est de proposer de nouveaux biomarqueurs pronostiques. Cette
étude soulève cependant de nombreuses questions statistiques dues à l'analyse simultanée de l'expression
de milliers de gènes pour un nombre restreint de patients. Nous nous sommes intéressés
à deux aspects de l'évaluation des modèles pronostiques issus de l'analyse du transcriptome. Dans
un premier temps, l'utilisation complémentaire de jeux de données simulés et publics nous a permis
de montrer que le choix de la méthode d'analyse la plus adaptée repose sur la manière dont ses
propriétés théoriques s'adaptent à la structure des données. Cette réflexion a été appliquée aux
analyses discriminante et inter-groupes. Dans un second temps, des simulations nous ont permis
d'estimer les contributions respectives des variables clinico-biologiques classiques et transcriptomiques
dans des modèles de survie. Les paramètres associés à la surestimation de la contribution
des biopuces ont été identifiés.
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10

Geronimi, Julia. "Contribution à la sélection de variables en présence de données longitudinales : application à des biomarqueurs issus d'imagerie médicale". Thesis, Paris, CNAM, 2016. http://www.theses.fr/2016CNAM1114/document.

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Les études cliniques permettent de mesurer de nombreuses variables répétées dans le temps. Lorsque l'objectif est de les relier à un critère clinique d'intérêt, les méthodes de régularisation de type LASSO, généralisées aux Generalized Estimating Equations (GEE) permettent de sélectionner un sous-groupe de variables en tenant compte des corrélations intra-patients. Les bases de données présentent souvent des données non renseignées et des problèmes de mesures ce qui entraîne des données manquantes inévitables. L'objectif de ce travail de thèse est d'intégrer ces données manquantes pour la sélection de variables en présence de données longitudinales. Nous utilisons la méthode d'imputation multiple et proposons une fonction d'imputation pour le cas spécifique des variables soumises à un seuil de détection. Nous proposons une nouvelle méthode de sélection de variables pour données corrélées qui intègre les données manquantes : le Multiple Imputation Penalized Generalized Estimating Equations (MI-PGEE). Notre opérateur utilise la pénalité group-LASSO en considérant l'ensemble des coefficients de régression estimés d'une même variable sur les échantillons imputés comme un groupe. Notre méthode permet une sélection consistante sur l'ensemble des imputations, et minimise un critère de type BIC pour le choix du paramètre de régularisation. Nous présentons une application sur l'arthrose du genoux où notre objectif est de sélectionner le sous-groupe de biomarqueurs qui expliquent le mieux les différences de largeur de l'espace articulaire au cours du temps
Clinical studies enable us to measure many longitudinales variables. When our goal is to find a link between a response and some covariates, one can use regularisation methods, such as LASSO which have been extended to Generalized Estimating Equations (GEE). They allow us to select a subgroup of variables of interest taking into account intra-patient correlations. Databases often have unfilled data and measurement problems resulting in inevitable missing data. The objective of this thesis is to integrate missing data for variable selection in the presence of longitudinal data. We use mutiple imputation and introduce a new imputation function for the specific case of variables under detection limit. We provide a new variable selection method for correlated data that integrate missing data : the Multiple Imputation Penalized Generalized Estimating Equations (MI-PGEE). Our operator applies the group-LASSO penalty on the group of estimated regression coefficients of the same variable across multiply-imputed datasets. Our method provides a consistent selection across multiply-imputed datasets, where the optimal shrinkage parameter is chosen by minimizing a BIC-like criteria. We then present an application on knee osteoarthritis aiming to select the subset of biomarkers that best explain the differences in joint space width over time
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11

Burgess, Stephen. "Statistical issues in Mendelian randomization : use of genetic instrumental variables for assessing causal associations". Thesis, University of Cambridge, 2012. https://www.repository.cam.ac.uk/handle/1810/242184.

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Mendelian randomization is an epidemiological method for using genetic variationto estimate the causal effect of the change in a modifiable phenotype onan outcome from observational data. A genetic variant satisfying the assumptionsof an instrumental variable for the phenotype of interest can be usedto divide a population into subgroups which differ systematically only in thephenotype. This gives a causal estimate which is asymptotically free of biasfrom confounding and reverse causation. However, the variance of the causalestimate is large compared to traditional regression methods, requiring largeamounts of data and necessitating methods for efficient data synthesis. Additionally,if the association between the genetic variant and the phenotype is notstrong, then the causal estimates will be biased due to the “weak instrument”in finite samples in the direction of the observational association. This biasmay convince a researcher that an observed association is causal. If the causalparameter estimated is an odds ratio, then the parameter of association willdiffer depending on whether viewed as a population-averaged causal effect ora personal causal effect conditional on covariates. We introduce a Bayesian framework for instrumental variable analysis, whichis less susceptible to weak instrument bias than traditional two-stage methods,has correct coverage with weak instruments, and is able to efficiently combinegene–phenotype–outcome data from multiple heterogeneous sources. Methodsfor imputing missing genetic data are developed, allowing multiple genetic variantsto be used without reduction in sample size. We focus on the question ofa binary outcome, illustrating how the collapsing of the odds ratio over heterogeneousstrata in the population means that the two-stage and the Bayesianmethods estimate a population-averaged marginal causal effect similar to thatestimated by a randomized trial, but which typically differs from the conditionaleffect estimated by standard regression methods. We show how thesemethods can be adjusted to give an estimate closer to the conditional effect. We apply the methods and techniques discussed to data on the causal effect ofC-reactive protein on fibrinogen and coronary heart disease, concluding withan overall estimate of causal association based on the totality of available datafrom 42 studies.
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12

Ahmed, Ibrahim. "Comparative evaluation of different power quality issues of variable speed wind turbines". Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/15920.

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The generation of wind energy deliberately becomes a significant part of generated electrical power in developed nations. Factors like fluctuation in natural wind speed and the use of power electronics present issues related power quality in wind turbine application. Following to the fact that there have been remarkable increase of wind energy in the electrical energy production worldwide, the effect on power quality and power system stability caused by wind power is considered significant, and hence the evaluation of this effect is crucial and obligatory. In order to examine and evaluate the characteristics of power quality of grid-integration of wind power in a persistent and authentic manner, several guidelines were introduced and established. One of the widely used guideline to define power quality of wind turbine is IEC standard 61400-21. Moreover, power system operator demands wind turbines to tolerate a certain voltage dip in some countries. The wind turbines concepts such as doubly-fed induction generator wind turbine and the direct driven wind turbine wind turbine with a permanent magnet synchronous generator are considered as the most promising concepts among other wind turbine types since they can operate in wide range of wind speed. The major goal of this PhD work is to examine the power quality character aspects of these wind turbine concepts. The power quality problems were calculated according to that devised by IEC- 61400-21 and then compared afterwards. The research includes the evaluation of the following power quality characteristics: voltage dip response, current harmonics distortion, control of active and reactive power and voltage flicker. Besides the IEC-standard 61400-21, the study also looks into the short-circuit current and fault-ride through with specifications provided by some grid codes, as power system stability is greatly influenced by these aspects. In order to achieve the research's goal, a reliable dynamic model of wind turbine system and control are required. Thus a complete model for both wind turbines systems was developed in PSCAD/EMTDC simulation-program which is the fanatical power system analysis tool, which can achieve a complete simulation of the system dynamic behaviour from the wind turbine. Two controllers are adopted for wind turbine system, converter control and pitch angle control. The converter controlled by a vector control in order to regulate the active and the reactive power whereas the pitch control scheme is put to function to limit the aerodynamic power in high wind speed. The ability of providing adequate state steady and dynamic performances are what wind turbine assures, as examined by simulation results, and via this, problems related to power quality caused by integrating wind turbines to the grid can be studied by wind turbine model.
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Peyre, Julie. "Analyse statistique des données issues des biopuces à ADN". Phd thesis, Université Joseph Fourier (Grenoble), 2005. http://tel.archives-ouvertes.fr/tel-00012041.

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Cette thèse est consacrée à l'analyse statistique des données issues des biopuces à ADN. Nous nous intéressons ici à trois problématiques liées aux données du transcriptôme.

Dans un premier chapitre, nous étudions le problème de la normalisation des données dont l'objectif est d'éliminer les variations parasites entre les échantillons des populations pour ne conserver que les variations expliquées par les phénomènes biologiques. Nous présentons plusieurs méthodes existantes pour lesquelles nous proposons des améliorations. Pour guider le choix d'une méthode de normalisation, une méthode de simulation de données de biopuces est mise au point.

Dans un deuxième chapitre, nous abordons le problème de la détection de gènes différentiellement exprimés entre deux séries d'expériences. On se ramène ici à un problème de test d'hypothèses multiples. Plusieurs approches sont envisagées : sélection de modèles et pénalisation, méthode FDR basée sur une décomposition en ondelettes des statistiques de test ou encore seuillage bayésien.

Dans le dernier chapitre, nous considérons les problèmes de classification supervisée pour les données de biopuces. Pour remédier au problème du "fléau de la dimension", nous avons développé une méthode semi-paramétrique de réduction de dimension, basée sur la maximisation d'un critère de vraisemblance locale dans les modèles linéaires généralisés en indice simple. L'étape de réduction de dimension est alors suivie d'une étape de régression par polynômes locaux pour effectuer la classification supervisée des individus considérés.
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14

Abalala, Turki Shjaan. "Macroeconomic variables, oil prices and seasonality : three key issues empirically investigated for Islamic stock market indices". Thesis, University of Newcastle upon Tyne, 2013. http://hdl.handle.net/10443/1932.

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In the world of finance, the emergence of Islamic finance has led to many Islamic financial products and services. Access to professional fund managers who specialize in forming portfolios that fulfil the needs of Muslim investors to trade in investments that do not violate their Islamic principles and rules is now commonly available in both Muslim and non-Muslim countries. Islamic stock market indices (ISMI) have also been established. This thesis consists of three self-contained empirical essays that focus on important financial issues for Muslim investors: (1) the empirical support for orthodox asset pricing models when applied to Islamic stocks; (2) the volatility of Islamic stock market indices and the relevance of oil to this volatility; and (3) seasonality in an Islamic stock market. In addition, each empirical essay compares the findings of ISIM to those of an appropriate counterpart conventional stock market index (CSMI). The findings firstly demonstrated that ISMI can be exposed to different risk factors from those proposed by previous empirical works on CSMI. Secondly, the statistical results established that ISMI proves to be a safe investment during the oil market turbulences contrary to CSMI. Thirdly, the last empirical essay found out that the emergence of ISMI in the non-Muslim countries can bring about another calendar anomaly or at least change the effect of an existing one such as Friday effect. The general conclusion to be drawn from the findings of the whole thesis is that there are variations between ISMI and CSMI in the way they react towards the same exogenous variables. This is despite the fact that previous studies failed to find significant differences between them in terms of performance, and merely observed that investors lose nothing by restricting themselves to ISMI.
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15

Ge, Xiao. "Investigation of interior permanent magnet machines and variable reluctance resolvers accounting for manufacturing issues". Thesis, University of Sheffield, 2016. http://etheses.whiterose.ac.uk/12393/.

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Nehl, Eric J. "A comparison of selected personal variables of Indiana state legislators and their voting records on tobacco issues". Virtual Press, 2001. http://liblink.bsu.edu/uhtbin/catkey/1266139.

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The purpose of this study was to examine the relationship between personal demographic variables of Indiana's legislators and their voting records regarding laws associated with tobacco regulation. Personal demographic data of the legislators who were in office in either 1997 and/or 1998 were compared with their voting records on tobacco issues during that same time period. The evidence suggests that Democratic legislators appear to be more in favor of tobacco control than their Republican counterparts and legislators that are members of the House of Representatives are more supportive of tobacco control than their counterparts in the Senate. Conversely, the evidence suggests that there were no statistically significant differences on tobacco voting records when the legislators were grouped by representation of a tobacco district, level of education the legislator has attained, holding an office in their respective chambers, or their occupations other than being a legislator.The results of this study can be used to better educate legislators on the consequences of tobacco use and the benefits of voting for pro-tobacco control legislation. Future studies should include attempts to form a profile of a pro-tobacco control or pro-tobacco industry legislator at both the state and national level.
Department of Physiology and Health Science
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17

Karim, Mohamed. "Contribution à l'étude des acquisitions en lecture-écriture au CE1; enfants issus de l'immigration, et autres variables". Toulouse 2, 1994. http://www.theses.fr/1994TOU20044.

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L'objectif de notre travail est d'etudier l'effet de l'origine nationale des enfants sur leurs resultats scolaires dans la classe du ce1. Dans ce cadre, nous avons procede a faire des comparaison entre les enfants francais et les enfants etrangers. L'importance d'autres variables sociales telle que ; le milieu social, le niveau d'instruction du pere, la taille de la fratrie et la duree de la frequentation de l'ecole maternelle nous a pousse a prendre en consideration le poids qu'elles peuvent exercer sur l'origine nationale. Ainsi, nous avons examine l'effet de la combinaison de l'origine nationale avec ces variables. Nos donnees nous ont amene a conclure a l'effet important de l'origine nationale des enfants sur leurs resultats scolaires. Cette importance est conditionnee par les inegalites, economique, culturelle et linguistique, qui existent entre les enfants francais et les enfants etrangers
The prupose of study is to examine the relationship between national origine ane academic results of children at the ce 1 level. Within this guideline, we have compared the children of french origin with foreigners. Other variables such as, the home environment, the father' level of education, the family size, and the retention at scool. We have guided us in examing thein link with national origin. Therefore, we have examined the national origin of children in relation with this variables. Our results show an important relationship between the national origin of children and teir success at scool. This finding is linked to economic cultural and linguistic inegalities that exist for foreign children in comparaison to french children
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18

Ndoye, Idrissa. "Isolement et approche synthétique de produits naturels issus du champignon endophyte Paraconiothyrium variabile". Paris 6, 2012. http://www.theses.fr/2012PA066314.

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Paraconiothyrium variabile est un champignon endophyte isolé du conifère Cephalotaxus harringtonia et a révélé un antagonisme significatif contre des phytopathogènes communs. Nous avons entrepris la caractérisation chimique des métabolites fongiques impliqués dans la relation mutualiste entre cette plante hôte et le champignon endophyte afin d'étudier leur rôle éventuel dans cet antagonisme. Le fractionnement de l'extrait AcOEt du filtrat de culture de P. Variabile a révélé quatre principales familles de métabolites : α-tétralones, isocoumarines, isobenzofuranes et cyclodipeptides dans des conditions de culture différentes. La configuration absolue des trois α-tétralones portant un hydroxyle en C-4 a été déterminée comme S par analyse de leurs spectres de dichroïsme circulaire. La biotransformation de la juglone et de l'isosclérone par P. Variabile a permis d’augmenter les quantités d'isosclérone et d’obtenir des analogues structuraux, respectivement. Des essais de dimérisation de l'isosclérone en milieu acide ont été réalisées vers le squelette naturel spirobisnaphtalène de type palmarumycine. Par ailleurs, un travail annexe apporte une contribution supplémentaire à la synthèse du précurseur linéaire des hirsutellones
Paraconiothyrium variabile is an endophytic fungus isolated from the conifer Cephalotaxus harringtonia and displayed a significant antagonism against common plant pathogens. We undertook the chemical characterization of the fungal metabolites implied in the mutualistic relationship between the host plant and the endophyte in order to study their role in the observed antagonism. The analysis of the AcOEt extract of the culture filtrate of P. Variabile revealed four main families of metabolites: α-tetralones, isocoumarin, isobenzofuran, and a cyclodipeptide obtained in different culture conditions. The absolute configuration of three α-tetralones with a hydroxyl at C-4 was determined S by analysis of their circular dichroism spectra. The biotransformation of juglone and isosclerone led to increased amount of isosclerone and structural analogues, respectively. Dimerization of isosclerone under acidic conditions gave the best results towards the natural spirobisnaphtalene skeleton of palmarumycins. Additionally, a contribution to the synthesis of a biomimetic linear precursor of hirsutellones was done
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19

Thiel, Kathleen K. "Opinions of Ohio public school superintendents about issues in adult education in relation to selected personal and programmatic variables /". The Ohio State University, 1987. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487585645579082.

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20

Bérard, Caroline. "Modèles à variables latentes pour des données issues de tiling arrays. Applications aux expériences de ChIP-chip et de transcriptome". Phd thesis, AgroParisTech, 2011. http://tel.archives-ouvertes.fr/tel-00656841.

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Les puces tiling arrays sont des puces à haute densité permettant l'exploration des génomes à grande échelle. Elles sont impliquées dans l'étude de l'expression des gènes et de la détection de nouveaux transcrits grâce aux expériences de transcriptome, ainsi que dans l'étude des mécanismes de régulation de l'expression des gènes grâce aux expériences de ChIP-chip. Dans l'objectif d'analyser des données de ChIP-chip et de transcriptome, nous proposons une modélisation fondée sur les modèles à variables latentes, en particulier les modèles de Markov cachés, qui sont des méthodes usuelles de classification non-supervisée. Les caractéristiques biologiques du signal issu des puces tiling arrays telles que la dépendance spatiale des observations le long du génome et l'annotation structurale sont intégrées dans la modélisation. D'autre part, les modèles sont adaptés en fonction de la question biologique et une modélisation est proposée pour chaque type d'expériences. Nous proposons un mélange de régressions pour la comparaison de deux échantillons dont l'un peut être considéré comme un échantillon de référence (ChIP-chip), ainsi qu'un modèle gaussien bidimensionnel avec des contraintes sur la matrice de variance lorsque les deux échantillons jouent des rôles symétriques (transcriptome). Enfin, une modélisation semi-paramétrique autorisant des distributions plus flexibles pour la loi d'émission est envisagée. Dans un objectif de classification, nous proposons un contrôle de faux-positifs dans le cas d'une classification à deux groupes et pour des observations indépendantes. Puis, nous nous intéressons à la classification d'un ensemble d'observations constituant une région d'intérêt, telle que les gènes. Les différents modèles sont illustrés sur des jeux de données réelles de ChIP-chip et de transcriptome issus d'une puce NimbleGen couvrant le génome entier d'Arabidopsis thaliana.
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21

Berard, Caroline. "Modèles à variables latentes pour des données issues de tiling arrays : Applications aux expériences de ChIP-chip et de transcriptome". Thesis, Paris, AgroParisTech, 2011. http://www.theses.fr/2011AGPT0067.

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Les puces tiling arrays sont des puces à haute densité permettant l'exploration des génomes à grande échelle. Elles sont impliquées dans l'étude de l'expression des gènes et de la détection de nouveaux transcrits grâce aux expériences de transcriptome, ainsi que dans l'étude des mécanismes de régulation de l'expression des gènes grâce aux expériences de ChIP-chip. Dans l'objectif d'analyser des données de ChIP-chip et de transcriptome, nous proposons une modélisation fondée sur les modèles à variables latentes, en particulier les modèles de Markov cachés, qui sont des méthodes usuelles de classification non-supervisée. Les caractéristiques biologiques du signal issu des puces tiling arrays telles que la dépendance spatiale des observations le long du génome et l'annotation structurale sont intégrées dans la modélisation. D'autre part, les modèles sont adaptés en fonction de la question biologique et une modélisation est proposée pour chaque type d'expériences. Nous proposons un mélange de régressions pour la comparaison de deux échantillons dont l'un peut être considéré comme un échantillon de référence (ChIP-chip), ainsi qu'un modèle gaussien bidimensionnel avec des contraintes sur la matrice de variance lorsque les deux échantillons jouent des rôles symétriques (transcriptome). Enfin, une modélisation semi-paramétrique autorisant des distributions plus flexibles pour la loi d'émission est envisagée. Dans un objectif de classification, nous proposons un contrôle de faux-positifs dans le cas d'une classification à deux groupes et pour des observations indépendantes. Puis, nous nous intéressons à la classification d'un ensemble d'observations constituant une région d'intérêt, telle que les gènes. Les différents modèles sont illustrés sur des jeux de données réelles de ChIP-chip et de transcriptome issus d'une puce NimbleGen couvrant le génome entier d'Arabidopsis thaliana
Tiling arrays make possible a large scale exploration of the genome with high resolution. Biological questions usually addressed are either the gene expression or the detection of transcribed regions which can be investigated via transcriptomic experiments, and also the regulation of gene expression thanks to ChIP-chip experiments. In order to analyse ChIP-chip and transcriptomic data, we propose latent variable models, especially Hidden Markov Models, which are part of unsupervised classification methods. The biological features of the tiling arrays signal, such as the spatial dependence between observations along the genome and structural annotation are integrated in the model. Moreover, the models are adapted to the biological question at hand and a model is proposed for each type of experiment. We propose a mixture of regressions for the comparison of two samples, when one sample can be considered as a reference sample (ChIP-chip), and a two-dimensional Gaussian model with constraints on the variance parameter when the two samples play symmetrical roles (transcriptome). Finally, a semi-parametric modeling is considered, allowing more flexible emission distributions. With the objective of classification, we propose a false-positive control in the case of a two-cluster classification and for independent observations. Then, we focus on the classification of a set of observations forming a region of interest such as a gene. The different models are illustrated on real ChIP-chip and transcriptomic datasets coming from a NimbleGen tiling array covering the entire genome of Arabidopsis thaliana
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22

Young, Charles Andrew. "Issues associated with the creation of regional-scale variably saturated groundwater flow models in irrigated areas /". For electronic version search Digital dissertations database. Restricted to UC campuses. Access is free to UC campus dissertations, 2004. http://uclibs.org/PID/11984.

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23

Bhatti, Sajjad Haider. "Estimation of the mincerian wage model addressing its specification and different econometric issues". Phd thesis, Université de Bourgogne, 2012. http://tel.archives-ouvertes.fr/tel-00780563.

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In the present doctoral thesis, we estimated Mincer's (1974) semi logarithmic wage function for the French and Pakistani labour force data. This model is considered as a standard tool in order to estimate the relationship between earnings/wages and different contributory factors. Despite of its vide and extensive use, simple estimation of the Mincerian model is biased because of different econometric problems. The main sources of bias noted in the literature are endogeneity of schooling, measurement error, and sample selectivity. We have tackled the endogeneity and measurement error biases via instrumental variables two stage least squares approach for which we have proposed two new instrumental variables. The first instrumental variable is defined as "the average years of schooling in the family of the concerned individual" and the second instrumental variable is defined as "the average years of schooling in the country, of particular age group, of particular gender, at the particular time when an individual had joined the labour force". Schooling is found to be endogenous for the both countries. Comparing two said instruments we have selected second instrument to be more appropriate. We have applied the Heckman (1979) two-step procedure to eliminate possible sample selection bias which found to be significantly positive for the both countries which means that in the both countries, people who decided not to participate in labour force as wage worker would have earned less than participants if they had decided to work as wage earner. We have estimated a specification that tackled endogeneity and sample selectivity problems together as we found in respect to present literature relative scarcity of such studies all over the globe in general and absence of such studies for France and Pakistan, in particular. Differences in coefficients proved worth of such specification. We have also estimated model semi-parametrically, but contrary to general norm in the context of the Mincerian model, our semi-parametric estimation contained non-parametric component from first-stage schooling equation instead of non-parametric component from selection equation. For both countries, we have found parametric model to be more appropriate. We found errors to be heteroscedastic for the data from both countries and then applied adaptive estimation to control adverse effects of heteroscedasticity. Comparing simple and adaptive estimations, we prefer adaptive specification of parametric model for both countries. Finally, we have applied quantile regression on the selected model from mean regression. Quantile regression exposed that different explanatory factors influence differently in different parts of the wage distribution of the two countries. For both Pakistan and France, it would be the first study that corrected both sample selectivity and endogeneity in single specification in quantile regression framework
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24

Cooper, Stephen-Mark. "Statistical methods for resolving issues relevant to test and measurement reliability and validity in variables related to sport performance and physical fitness". Thesis, Cardiff Metropolitan University, 2006. http://hdl.handle.net/10369/7393.

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Sport performance is the result of a complex and challenging blend of many factors. Sport coaches and National Goveming Bodies (NGBs) of sport have begun to recognise that the most efficacious way of preparing athletes for competition is one based upon proven scientific methods and not upon trial and error judgements. Such a response flies in the face of much of the coaching folklore that has been passed down through the generations. Indeed, it is not so long ago that most sport coaches would treat the idea of support from a sport scientist with abject cynicism. Today, however, it is far more commonplace for individual athletes and teams of athletes, who aspire towards achieving superior optimal performances, their coaches and NGB advisors, to seek an input from sport scientists so that these athletes can achieve their full potential. The complex blend of component factors necessary for successful sport performance are activity specific, and this has led to the demand for the provision of assessment batteries that have proven specificity within the context of a particular sport. In addition, sport scientists require testing protocols to be duplicated, and for comparable data to be obtained when athletes are tested in different laboratories by different scientists and at different times throughout a preparatory and competitive season (MacDougall and Wenger, l99l). Even when scientists revert to data collection in the field, mainly because of convenience, information gathered about athletes might be less consistent, but it might well be more specific and upon which some key decisions can often be made. Clearly, athletes, their coaches, their NGB advisers and the sport scientists that support them each have concerns over performance enhancement and optimisation. Additionally, sport scientists themselves might well have a personal research agenda. It has to be acknowledged, therefore, that all of these stakeholders have an interest in the quality of the data collected and that these data should be relevant, consistent and accurate.
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25

Hedjazi, Lyamine. "Outil d'aide au diagnostic du cancer à partir d'extraction d'informations issues de bases de données et d'analyses par biopuces". Phd thesis, Université Paul Sabatier - Toulouse III, 2011. http://tel.archives-ouvertes.fr/tel-00657959.

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Le cancer est l'une des causes les plus fréquentes de décès dans le monde. Actuellement, le cancer du sein est le plus répandu dans les cancers féminins. Malgré les avancées significatives faites ces dernières décennies en vue d'améliorer la gestion du cancer, des outils plus précis sont toujours nécessaires pour aider les oncologues à choisir le traitement nécessaire à des fins de guérison ou de prévention de récidive tout en réduisant les effets néfastes des ces traitements ainsi que leurs coûts élevés. Ce travail porte sur l'utilisation de techniques d'apprentissage automatique pour développer de tels outils de gestion du cancer du sein. Les facteurs cliniques, tels que l'âge du patient et les variables histo-pathologiques, constituent encore la base quotidienne de prise de décision pour la gestion du cancer du sein. Cependant, avec l'émergence de la technologie à haut débit, le profil d'expression génique suscite un intérêt croissant pour construire des outils plus précis de prédiction du cancer du sein. Néanmoins, plusieurs challenges doivent être relevés pour le développement de tels outils, principalement: (1) la dimensionnalité des données issues de la technologie des puces, (2) le faible rapport signal sur bruit dans la mesure de biopuces, (3) l'incertitude d'appartenance des patients aux différents groupes du cancer, et (4) l'hétérogénéité des données présentes habituellement dans les bases de données cliniques. Dans ce travail, nous proposons quelques approches pour surmonter de manière appropriée de tels challenges. Une première approche aborde le problème de haute dimensionnalité des données en utilisant les capacités d'apprentissage dit normé ℓ1 pour la conception d'un algorithme de sélection de variables intégré à la méthode SVM (machines à vecteurs supports), algorithme basé sur une technique de gradient. Une deuxième approche permet de gérer simultanément tous les problèmes, en particulier l'intégration de plusieurs sources de données (cliniques, pu ces à ADN, ...) pour construire des outils prédictifs plus précis. Pour cela, un principe unifié est proposé pour surmonter le problème de l'hétérogénéité des données. Pour tenir compte de l'incertitude d'appartenance et augmenter l'interprétabilité du modèle, ce principe est proposé dans le cadre de la logique floue. Par ailleurs, afin d'atténuer le problème du bruit de niveau élevé, une approche symbolique est proposée suggérant l'utilisation de la représentation par intervalle pour modéliser les mesures bruitées. Nous avons conçu en particulier, basée sur ce principe, une approche floue supervisée de pondération de variables. Le processus de pondération repose essentiellement sur la définition d'une marge d'appartenance pour chaque échantillon. Il optimise une fonction objective basée sur la marge d'appartenance afin d'éviter la recherche combinatoire. Une extension de cette approche au cas non supervisé est effectuée pour développer un algorithme de regroupement automatique basé sur la pondération des règles floues. L'efficacité de toutes les approches a été évaluée par des études expérimentales extensives, et comparée avec des méthodes bien connues de l'état de l'art. Enfin, un dernier travail est consacré à des applications des approches proposées dans le domaine du cancer du sein. En particulier, des modèles prédictifs et pronostiques ont été extraits à partir des données de puces à ADN et/ou des données cliniques, et leurs performances comparées avec celles d'approches génétiques et cliniques existantes.
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26

Andersson, Oskar. "Inclusion of Wind Turbines into Frequency Support Services : Exploring frequency stability issues and comparing regulation power market products". Thesis, Uppsala universitet, Institutionen för elektroteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-435076.

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There is a trend in Sweden towards increasing the electricity production from renewable energy sources in the electric grid. The increased share of renewables could be seen as essential for Sweden to be able to meet the obligated climate goals. Integration of renewables will enable Sweden to be a progressive part in reducing greenhouse gases and decreasing the global warming. However, one issue with renewable energy sources is the inverter governed production. This, together with the decommission of larger synchronous generators, results in decreasing the inertia and increasing the instability inthe grid.  This thesis is dedicated to elaborating on frequency stability issues and investigating how Variable Speed Wind Turbines (VSWT) could contribute towards stabilized operation when included in frequency support services.  The study is generated through an extensive research process where focus areas are identified. Questions are purposed and then discussed through interviews with experienced people in the field. Estimated power production series from a wind turbine park (WTP) are applied in a constructed model to study the possibilities appearing when  including VSWTs in frequency support services. The income generated from including VSWTs in different regulation power market services is with the model compared against solely procuring the production capacity on the day ahead market. The studied frequency support services are then compared altogether to generate favorable solutions. The study examines both economic as well as technical features of the inclusion of VSWTs in frequency support services.  Results found in the study were that inclusion of wind turbines for power regulation purposes could be seen as increasingly manageable and needed in the electric grid. The maturity of technical solutions alongwith a transition in the regulation power market could be observed as leading factors. The diversification of regulation abilities and the increasing economic incentives in the regulation power market was also found to be important reasons for including wind turbines in the regulation power market. In the study, it was also found thataggregating the power production from several VSWT could increase the ability to deliver the studied services.  It was concluded that inclusion of VSWT in the frequency containment reserve during disturbed operation for down-regulation purposes as well as the fast frequency reserve was the most promising frequency support products for the inclusion of wind turbines. When including battery energy storages and to a larger part managing the durability demands for the services then the frequency contain reserve for normal operation and the frequency containment reserve for disturbed operation for upregulation purposes could be observed as preferable alternatives. Regulation abilities were concluded as achievable with the use of pitch and torque regulation techniques available in the variable speed wind turbine.
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27

Coleman, Shawonna S. "Examining Public School Educators' Perceptions of Variables Studied in Correlation to Teacher Attrition Issues within a Select Rural School District in the State of Mississippi: Implications for Teacher Retention". DigitalCommons@Robert W. Woodruff Library, Atlanta University Center, 2017. http://digitalcommons.auctr.edu/cauetds/74.

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The purpose of this study was to examine public school educators’ perceptions of factors driving teacher attrition and the variables studied in correlation to attrition issues in a select rural school district in the state of Mississippi. The findings of this study will inform local and district level school leaders through providing an indifferent perception on teacher attrition in one school district in the state of Mississippi while giving insight on why teachers are exiting the field. It will further serve as a guide for national leaders to revisit recruitment and retention methods currently used while identifying new and innovative methods for decreasing attrition rates and at the same time building a sense of stability within low performing schools. Both qualitative and quantitative data were compiled and synthesized while considering descriptive and inferential statistics to recognize emergent themes for implications of teacher retention. The findings of the study concluded that elementary teachers were more likely to be in greater agreement about teacher orientation programs than were high school teachers. Middle school teachers scored lower on teacher attrition than did teachers in elementary school, indicating that middle school teachers may be more inclined to think about leaving the teaching profession. Four of the attrition indicators (school culture, teacher evaluation accountability measures, academic learning outcomes, and instructional feedback) were statistically significant predictors of teacher attrition. The findings in this study also revealed that teachers with less experience are more inclined to leave the profession than those with more experience.
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28

Ko-WeiShih i 史可維. "The impact of macroeconomic variables,food safety issue and U.S. QE on Taiwanese convenience store stock price". Thesis, 2016. http://ndltd.ncl.edu.tw/handle/9f4azw.

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碩士
國立成功大學
企業管理學系
104
This study examines the effects of domestic and international macroeconomic factors on the stock prices of chain convenience stores in Taiwan. The convenience store industry is labor-intensive, oriented toward the sale of daily necessities and has a high domestic demand. Based on the labor-intensive feature, this study takes minimum wage and monthly revenue as independent variables; based on the daily necessities feature, this study takes macroeconomic factors to examine whether domestic and global economics factors have effects on the domestic-demand industry. These macroeconomics variables include the discount rate of the central bank of R.O.C., real exchange rate, CPI, and oil price. The dummy variables are food scandals in Taiwan, the plasticizer event and the poisonous starch event. Food scandals have given rise to wide concern for customers because of food safety issues. In addition, three rounds of U.S. Quantitative Easing are also regarded as independent variables as well. The results suggested that monthly revenue and minimum wage had no effects on convenience store prices. As for the domestic economic factors, the real exchange rate and the poisonous starch food scandal event did not have effects on the stock prices of convenience stores. Global economics factors like the U.S. QE and oil price were not found to have an effect on the stock prices of convenience stores in Taiwan. However, the consumer price index (CPI) was found to have a positive impact on the stock prices of convenience stores in Taiwan. The discount rate and the plasticizer food scandal had negative effects on the stock prices of convenience stores in Taiwan. Keywords: Convenience stores, Stock price, U.S. QE, Food safety issue
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29

Rogers, Anthony Laussat. "Variable speed diesel power generation design issues". 1996. https://scholarworks.umass.edu/dissertations/AAI9639021.

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Diesel powered electric generators supply power to isolated grids around the world, often operating at low average load. The addition of renewable power to save fuel reduces engine load even further. This low load operation results in poor fuel efficiency and increased maintenance due to engine fouling, especially in cold ambient conditions. Variable speed operation of these diesel generator sets has been studied, in general, and as a solution to efficiency and fouling problems. Variable speed operation requires the addition of a supervisory controller and an electronic power converter to provide constant frequency power. Conclusions are based on testing of diesel generators and thermodynamic and dynamic modeling. Tests included steady state tests of two diesel generators (5 kW and 15 kW systems) and tests of a prototype 5 kW variable speed system. Heat release, combustion duration, and cylinder gas temperatures were derived from cylinder pressure data. System component design and the effects of component limitations on variable speed operation are discussed. Once a variable speed operating strategy is determined for a sample 15 kW system, test data are used to determine fuel savings and to estimate the potential for improvements in emissions, cold weather fouling, and engine wear. Results show that variable speed systems are most applicable where the peak power system capability is large compared to the average load. In existing, isolated power systems fuel savings could be as high as 40% of annual fuel. A comparison of combustion conditions between constant speed and variable speed operation of diesel generator sets shows that unburned hydrocarbon emissions from local overleaning, wall quenching, and bulk quenching of combustion should be reduced with variable speed operation. Likewise, particulate emissions and low load, cold weather engine fouling should be reduced. The effects on other sources of unburned hydrocarbon emissions and on NOx emissions are ambiguous. An analysis of corrosive and abrasive wear mechanisms shows that engine wear need not be a concern with variable speed operation. The analysis also discusses factors affecting variable speed operation of diesel generator sets larger than those tested in this study.
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30

Lalnunmawii, H. "A study of teacher's attitude towards contemporary socio-political issues involving ethnic and regional variables". Thesis, 1996. http://hdl.handle.net/2009/1163.

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31

Wu, Tsung-Yu, i 吳宗祐. "Emotional labor at work:Development of concept, analysis of related variables, and exploration of psychological process issues". Thesis, 2003. http://ndltd.ncl.edu.tw/handle/68689523017514117158.

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博士
國立臺灣大學
心理學研究所
91
The purpose of the study is to clarify the concept of emotional labor, analyze the relationships between emotional labor and other related variables, and explore psychological process issues about emotional labor. In study one, I use quantitative approach to explore the relationships between emotional labor and other variables on the basis of resource of conservation theory (COR). The variables include external job demand (frequency of contacting difficult customers), external job resource (training utility), individual differences (self-monitoring and ability to regulate other’s emotion), and psychological cost (emotional exhaustion). Through “Bottom-up” process, I develop emotional labor scale from hundreds of critical incidents and observational records. Using self-rating and other-rating strategies, I conduct questionnaire survey in a domestic commercial bank. The results show as following: (1)The content of emotional labor includes expressing positive emotions, controlling negative emotions, and handling others’ negative emotions at least; (2)Frequency of contacting difficult customers and training utility significantly predict emotional labor; (3)Emotional labor significantly predict emotional exhaustion; (4)Frequency of contacting difficult customers influence emotional exhaustion through the mediating process of emotional labor; (5)Self-monitoring moderates the relationship between frequency of contacting difficult customers and emotional labor; ability to regulate other’s emotion moderates the relationship between training utility and emotional labor. In study two, I use qualitative approach and grounded theory strategy to explore such issues as “how do employees do emotional labor in their jobs? Why doing so? How do employees change under the job roles of high emotional labor?” Through in-depth interview with 37 frontline workers, I find the following results: (1) There are three kinds of interpersonal events: courtesy, complaining, and rage. Different interpersonal events require different effort in emotional labor. (2) The strategies to facilitate “deep acting”(that is, expressing positive emotions from the bottom of heart) include entering others’ inner worlds, treating others as relatives and friends, believing in “I am a helper” or “the product is good“. The factors that interfere “deep acting” include not involving the job role, pretense in insincere social situation, aversion to others, and unspeakable misery about self. (3) The factors that make employees suppress anger include calculation of the outcomes, insistence on work ethics, consideration and empathy, and self-control. The factors that stimulate employees to explode with anger include instinctive response, strategic consideration, and reinforcement. When employees struggle in the inner conflict between suppression and explosion, they may use lots of indirect ways to express anger. Once the anger bursts out, the employees often adopt some cognitive or behavioral strategies to deal with the consequence of the explosion. (4) The transition events appear in long-term emotional labor job will change employee’s attitudes toward self and job, and the changing process include transcendence, decline, and reverse. Moreover, the results of the change will be reflected in four kinds of relationships between “work self” and “actual self”: conflict, extension, segregation, and integration.
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Valluri, Madhavi Gopal. "Evaluation Of Register Allocation And Instruction Scheduling Methods In Multiple Issue Processors". Thesis, 1999. http://etd.iisc.ernet.in/handle/2005/1532.

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33

Li, Xuyuan. "Improving partial mutual information based input variable selection for data driven environmental and water resources models". Thesis, 2015. http://hdl.handle.net/2440/100723.

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Artificial neural networks (ANNs), as one of the most commonly used data driven models for environmental and water resources problems, have been applied successfully and extensively over the last two decades and are still gaining in popularity. Consideration of the methods used in the steps in the development of ANNs, which consist of data collection, data processing, input variable selection, data division, calibration and validation, are vitally important, as ANN model development is based on data, rather than understanding of the underlying physical processes. Among these methods, input variable selection (IVS) plays a significant role, as the performance of the developed model can be compromised if inputs having a pronounced relationship with the modelled output are omitted. In contrast, calibration becomes extremely challenging and modelling validation, as well as knowledge extraction, are problematic if redundant or superfluous inputs are included. Given the facts explained above, various techniques have been developed for the sake of more accurate IVS. Partial mutual information (PMI) is one of the most promising approaches to IVS, as it has a number of desirable properties, such as the ability to account for input relevance, the ability to cater to both linear and non-linear input-output relationships and the ability to check the redundancy of selected inputs. PMI is a stepwise input selection algorithm, which only selects one variable per iteration, as part of which the strength of the relationship between each potential input and the output is quantified using mutual information (MI) and input redundancy is accounted for by removing the influence of already selected inputs. This is achieved by developing models between the selected input and the output and assessing the strength of the relationship (in terms of MI) between the remaining potential inputs and the residuals of these models during the next iteration, which is referred to as PMI. Although PMI IVS has already been applied successfully to a number of studies in hydrological and water resource modelling, present implementations predominantly depend on the assumption that the data used to develop the model follow a Gaussian distribution. This assumption has the potential to affect two steps in the PMI process, including the estimation of MI/PMI and the estimation of the residuals. In terms of MI/PMI estimation, this requires kernel density estimates of the modelling data to be obtained for the estimation of marginal and joint probability density functions (PDFs), which rely on estimates of kernel bandwidths (or smoothing parameters) and in most studies, the Gaussian reference rule is used for this purpose, which only results in optimal bandwidth estimates if the modelling data follow a Gaussian distribution. However, this is unlikely to be the case when dealing with water resources and other environmental data. In terms of residual estimation (RE), this has generally been done using general regression neural networks (GRNNs), which also require estimates of kernel bandwidths to be obtained and therefore suffers from the same issues as MI/PMI estimation. The purpose of this thesis is to assess the impact the assumption that the data follow a Gaussian distribution has on the performance of PMI IVS and the efficacy of potential methods for overcoming any problems associated with this assumption. In order to achieve this, a large number of numerical tests are conducted on synthetic data with different degrees of normality and non-linearity, investigating the effectiveness of a range of options for (i) bandwidth estimation (caused by making Gaussian assumptions for non-Gaussian circumstances when adopting kernel based estimations in both MI/PMI and RE) and (ii) for dealing with boundary issues (caused by using a symmetrical kernel for bounded/unsymmetrical data when implementing kernel based estimations in both MI/PMI and RE), as well as methods for RE that do not require kernel density estimates. The results from these tests are used to develop preliminary guidelines for the selection of the most appropriate bandwidth and the most effective treatment of the boundary issue, which are then validated for two water resources case studies with different data properties and problem linearity, including forecasting of river salinity in the River Murray, Australia, and rainfall-runoff modelling in the Kentucky River, USA. The major research contributions are presented in three journal publications. The motivations underlying these publications include: 1) the development and testing of rigorous and novel analytical procedures for assessing if, and to what degree, the performances of residual and MI estimates are affected by bandwidth selection and boundary issues; 2) clear explanation of the inaccurate performance of conventional PMI IVS under the influence of bandwidth selection and boundary issues; 3) the development of effective preliminary guidelines based upon synthetic studies dealing with both bandwidth selection and boundary issues under different scenarios categorised by data normality and problem linearity; 4) the development of more robust and reliable PMI IVS software for realistic environmental and water resource problems. Overall, the research outcomes suggest that the performance of PMI IVS is significantly influenced by bandwidth selection and boundary issues and can be effectively improved by following the proposed empirical guidelines, although the findings of this work could be tested more broadly, including for data sets with a wider range of attributes, such as different degrees of noise, collinearity and interdependency, as well as incomplete information.
Thesis (Ph.D.) (Research by Publication) -- University of Adelaide, School of Civil, Environmental and Mining Engineering, 2015.
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34

Strobl, Carolin [Verfasser]. "Statistical issues in machine learning : towards reliable split selection and variable importance measures / vorgelegt von: Carolin Strobl". 2008. http://d-nb.info/990271617/34.

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Cowling, Michael Leith. "The estimation of the rate of return to education in China: an empirical analysis using instrument variable estimation with months of birth and its Issues". Thesis, 2014. http://hdl.handle.net/1885/14454.

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Any attempt to estimate the rate of return to education using ordinary least squares (OLS) models suffers from omitted variable bias due to unobservable factors that are correlated with both the education variable and the return dependent variable. Instrument Variables, such as the birth months of students, provide an alternative estimation method that can create less biased estimates. The validity of the birth months as instrument variables depends on being uncorrelated with individual personal attributes while having an effect on the education outcome of the individual. However, the exogenous criterion is violated if unobservable factors influences the month of birth and education outcome creating the omitted variable bias problem. We investigate if the birth month is a good instrument for use in estimating the rate of return to education using empirical evidence from the 2000 Chinese Population Census and the 2009 Chinese Urban Household Income and Expenditure Survey. We split the sample into two groups, individuals with rural education and individuals with urban education due to an urban/rural education gap that the literature captures. A Two Stage Least Squares Model (TSLS) is run to estimate the rate of return to education and to determine if the instrument birth month variables are strong instruments. We also run an OLS model to compare the OLS rate of return to education with the TSLS estimates. We use the parent’s education level as a proxy for socioeconomic status and investigate if there is a violation of the exclusion restriction for the birth month instruments. We find students born after August typically achieving a higher education level on average than students born in the August and months before August. In addition, there is a significant and positive rate of return to education using IV estimation which is larger than the OLS estimate of the return to education. We find that parent’s socio economic status either has an insignificant or trivial effect on the timing of births. We conclude there is a significant birth month effect on education and that the birth month variables are independent of parental background variables. We also find the birth month variables to be weak instruments but we argue that the bias present is less than the bias present in the OLS estimation of the rate of return to education.
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Oberlander, Elizabeth M. "Understanding and predicting multitasking performance using non-cognitive variables addressing issues in past research and developing a new measure of individual polychronicity /". Diss., 2008. http://proquest.umi.com/pqdweb?did=1601147251&sid=1&Fmt=2&clientId=3552&RQT=309&VName=PQD.

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Ling, Lien Hsiao, i 連曉苓. "A Case Study of How Customers Be Affected by Hotel Furnishing and Decoration Change on Perceived Value and Price Different Issue, As Personal Traits as an Intervening Variable". Thesis, 2014. http://ndltd.ncl.edu.tw/handle/tmef53.

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碩士
國立中央大學
企業管理學系在職專班
103
By researching purpose as below, we made the adjustment with 8-category topics on room (e.g. bedroom, living room and bathroom) furnishings and display change. (1) Setting up different hotel furnishings and decoration, we analyze the effect under recipients’ perceived value and cost value. (2) By personality and different hotel furnishings/decoration change, we analyze the disturbing effect under recipients’ and cost value difference. (3) With personal background and different hotel furnishings/decoration change, we analyze the disturbing effect under recipients’ and cost value difference. Under questionnaire review, data collation and analysis, the major result shows as below: (1) By changing the sofa style in hotel living room, adjusting wall sticker decoration and bathroom view, and removing bathtub or not, we found recipient’s perceived value will be obviously affected. By changing the big or small toy in bedroom, adjusting the sofa style, table lamp color in living room and bathroom view, we found recipient’s cost value will be affected. We also found the recipient’s perceived value will be affected by bedcover color change, the painting removing or not. The view of bathroom and bathtub exist or stay simple, with independent variable reciprocal interaction, we found the disturbing effect under recipients’ and cost value difference. (2) Taking recipients’ personality and the hotel room (e.g. bedroom, living room and bathroom) furnishings change, we found their perceived value will be affected by adjusting bedroom bedcover on nervous constitution, extroversion, and kindness personality. Placing big or small toy, we found their perceived value will be affected by extroversion and openness characteristic. Adjusting the color of living room table lamp, we found their perceived value have significant deviation on extroversion and openness characteristic. Adjusting the sofa style and wall sticker in living room, we found their cost value will be affected by recipients’ nervous constitution. Making a good view in bathroom or not, we also found the great effect under recipients’ openness on perceived value difference. (3) Taking recipients’ personal background and Hotel room (e.g. bedroom, living room and bathroom) furnishings change, we found their customer- perceived value will be affected by how many brothers and sisters they have and age factor difference. Age located and education has a great effect on cost value difference. Adjusting painting has a big effect with marriage status on both cost and perceived value difference. Making the sofa style different in living room, we found their perceived value will be affected by age located and marriage status. The sibling rank, hometown could be affected by cost value. Making the wall sticker style different has affect recipients’ blood type on perceived value. Adjusting bathtub in bathroom will be effected by how many brothers and sisters they have, and we found a great effect on their perceived value.
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Roberto, Magda Sofia Valadas Dominguez. "The role of individual and group level variables in healthcare profissionals' hand hygiene compliance: a multi-level perspective". Doctoral thesis, 2010. http://hdl.handle.net/10071/18202.

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Literature shows that non-compliance with hand hygiene increases hospital-acquired infections and research in this area is far from synthesized. This work aims to conciliate the contributions of the Theory of Planned Behavior (TPB), the Precede-Proceed model and the safety climate approach to analyse (1) this problematic during the education of future healthcare professionals; (2) hand hygiene as arising from micro-systems (e.g. care-delivery teams); (3) the specificities of compliance between different categories of professionals; and (4) the importance of work experience in constraining intention to comply. We also intend to analyse the impact of the moral norm and the vulnerability perception. The former as a behavioural intention predictor will be tested as an inhibitor of compliance; the latter, will be used as a multi-level moderator to explore its role in the relationship between team safety climate and compliance. Furthermore, we will also analyse self-reported and observed compliance. We present five studies whose results indicate that (1) TPB behavioural intention predictors function as significant mediators in transferring the impact of team safety climate to intention; (2) social influence is an important predictor enhancing the relevance of role models; (3) professionals present multi-faceted moral prerogatives that inhibit compliance, particularly physicians and medical students; 4) reported compliance appears to be an adequate way to measure hand hygiene due to its consistency with observed compliance. In the end, predisposing, enabling and reinforcing variables are presented to link the empirical evidence of this work with its practical dimension by defining measures to design future interventions.
A literatura demonstra que a não adesão à higiene das mãos aumenta as infecções hospitalares, contudo a investigação nesta área permanece dispersa. Este trabalho pretende conciliar os contributos da Teoria da Acção Planeada (TAP), modelo Precede-Proceed e abordagem de clima de segurança para analisar esta problemática (1) durante a formação de futuros profissionais de saúde; (2) a higiene das mãos como um comportamento que emerge de micro-sistemas (e.g. equipas de trabalho); (3) as especificidades entre diferentes categorias de profissionais; e (4) o impacto da experiência de trabalho na intenção de aderir. Pretende-se ainda aferir o papel da norma moral enquanto preditora da intenção, sendo testada como inibidora da adesão; e da percepção de vulnerabilidade como moderadora numa relação multinível para explorar o seu papel entre o clima de segurança de equipa e a adesão. Para além disso, iremos também avaliar a adesão reportada e observada. Serão apresentados cinco estudos cujos resultados indicam que (1) os preditores da intenção da TAP funcionam como mediadores transferindo o impacto do clima de segurança de equipa para a intenção; (2) a influência social é um preditor importante reforçando o papel dos “role models”; (3) os profissionais apresentam prerrogativas morais multi-facetadas que inibem a adesão, particularmente os médicos e estudantes de medicina; (4) a adesão reportada parece ser uma medida adequada para avaliar este comportamento devido à sua consistência com a adesão observada. No final, as variáveis que predispõem, facilitam e reforçam a adesão serão apresentadas relacionando a evidência empírica deste trabalho com a sua dimensão prática pela apresentação de medidas de intervenção.
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Varela, Rute Miriam Campos. "Burnout em profissionais de saúde animal: um estudo integrativo com variáveis individuais, relacionadas com o trabalho e psicossociais". Master's thesis, 2020. http://hdl.handle.net/10071/21658.

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A síndrome de burnout afeta milhares de profissionais em diversas áreas de trabalho, e tem vindo a ser, por isso, amplamente estudada em profissionais de caregiving, i.e., profissionais cujas tarefas envolvem a prestação de cuidados a terceiros, uma vez que estes aparentam um maior risco de desenvolver sintomas deste fenómeno (Freudenberg, 1974; Maslach, 2003). Mais recentemente surge o interesse pelo estudo desta síndrome aplicada a profissionais de saúde animal (Kaufmannn, 2017). O objetivo da presente investigação é contribuir para uma melhor compreensão dos fatores que são preditores do burnout em duas amostras de profissionais de saúde animal, (a) médicos veterinários; e (b) enfermeiros veterinários. Através de dois modelos de regressão linear, foram introduzidas em três blocos, variáveis individuais (sexo, idade e rendimento), variáveis relacionadas com o próprio trabalho (horas de contacto com animais e com donos em sofrimento, a questão da eutanásia, anos de experiência e workload), e variáveis psicossociais (crença num mundo justo, empatia, empatia para com animais, significado do trabalho e identificação com a profissão), procurando verificar o seu efeito nas duas dimensões distintas do burnout (i.e., exaustão e distanciamento). Os resultados mostram que as variáveis abordadas têm de facto um grande impacto no burnout destes profissionais, sendo que o workload representa consistentemente um fator de risco para ambas as amostras e em ambas as dimensões da síndrome, ao passo que a identificação com a profissão representa um fator protetor contra o burnout para ambas as amostras em ambas as dimensões. Os resultados obtidos sugerem a necessidade de considerar mais modelos integrativos com diferentes tipos de variáveis em investigações futuras dedicadas a esta temática.
The burnout syndrome affects thousands of professionals in different areas of work, and has therefore been widely studied in caregiving professionals, i.e., whose jobs involve the provision of care to others, since they appear to be at a greater risk of developing symptoms of this phenomenon (Freudenberg, 1974; Maslach, 2003). More recently, the interest in the study of this syndrome applied to animal health professionals arises (Kaufmannn, 2017). The aim of this investigation is to contribute to a better understanding of the factors that are predictors of burnout in two samples of animal health professionals, (a) veterinarians; and (b) veterinary nurses. Through two linear regression models, individual variables (sex, age and income), as well as variables related to their own work (hours of contact with suffering owners and animals, the issue of euthanasia, years of experience and workload) and psychosocial variables (belief in a just world, empathy, empathy for animals, meaning of work and identification with the profession), were introduced in three blocks seeking to verify its effect on the two distinct dimensions of burnout (i.e., exhaustion and disengagement). The obtained results show that the variables addressed have in fact a relevant impact on the burnout of these professionals, with the workload consistently representing a risk factor for both samples and in both dimensions of this syndrome, whereas identification with the profession represents a protective factor against burnout for both samples in both dimensions. The results obtained suggest the need to consider more integrative models with different types of variables in future investigations dedicated to this theme.
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