Thesis (Ph. D.)--University of Missouri-Columbia, 2000. / Typescript. Vita. Includes bibliographical references (leaves 104-107). Also available on the Internet.

Thesis (Ph. D.)--University of Missouri-Columbia, 2000. / Typescript. Vita. Includes bibliographical references (leaves 104-107). Also available on the Internet.

Thesis (Ph. D.)(Industrial Engineering)--University of Pretoria, 2003. / Includes bibliographical references.

Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2003. / Includes bibliographical references (leaves 66-67). Also available in electronic version. Access restricted to campus users.

Thesis (Ph.D)--Industrial and Systems Engineering, Georgia Institute of Technology, 2009. / Committee Chair: Vidakovic, Branislav; Committee Member: Edwards, Paula; Committee Member: Griffin, Paul; Committee Member: Grinter, Rebecca; Committee Member: Mullis, Rebecca. Part of the SMARTech Electronic Thesis and Dissertation Collection.

In the late 90s coconut farms in Mozambique were affected by a disease that made the coconut trees drop their leaves and die, the disease is called the coconut lethal yellowing disease (CLYD). It is known that planthoppers are spreading the disease. This thesis investigates if cultivation and farm related factors could have an impact on the risk of being infected by CLYD. With a sample of 534 farms from the two provinces Zambeze and Nampula a logistic regression model is estimated. The result shows that the only factor that has a significant effect of increasing the risk of getting infected by the disease is if farms had other palm species than coconut trees on the plantation. / I slutet av 90-talet drabbades många kokosnötsfarmer i Mocambique av en sjukdom som gjorde att träden började tappa sina löv och till slut dog. Denna sjukdom kallas för ”the coconut lethal yellowing disease” (CLYD). I dagsläget vet man att det är en specifik insekt som sprider denna sjukdom. Denna uppsats undersöker om det finns andra faktorer som kan påverka risken för koksnötsfarmer att drabbas av denna sjukdom, faktorer som är kopplade till farmerna och dess vegetation. Genom ett urval av 534 farmer från de två provinserna Zambezia och Nampula skattades en logistik regression. Resultatet visade att det enbart är en faktor, om plantagen innehåller andra palmsorter, som signifikant ökar risken för att en farm ska drabbas av CLYD.

The primary purpose of this study was to find out which variables lie behind the fact that patients who respond well to treatment of chronic pain differs from those who do not. We used logistic regression to predict group belonging based on the self-reported health surveys, i.e if different answers in the surveys can predict whether a patient is “responsive” or “unresponsive”. By bootstrapping 176 samples, and aggregating the results from 176 logistic regressions based on the sub-samples, we calculate an averaged model. The variables anxiety and physical health were significant in 76% and 70% of the models respectively, while depression was significant in 30% of the models. Gender was significant in 15% of the models and health status in 0,006%. The averaged model correctly classified the most unresponsive patients at cut-off value 0.5. As the cut –off value was increased, the number of correctly classified unresponsive patients decreased while the number of correctly classified responsive patients increased, as well as unresponsive patients classified as responsive. We concluded that the model did not discriminate enough between the two groups. We were also interested in finding out how the variables anxiety, depression, heath status, willingness to participate in activities as well as engagement in activities, mental and physical health relate with one another. The results from confirmatory factor analysis showed that a patient’s health status is highly related to their physical health and activity engagement while pain willingness and engagement in activity were least related. Furthermore, the analysis showed that mental health is highly related with anxiety and health status, indicating that mental health is indeed important to reflect upon when considering the health status of a patient.

In this paper we seek to answer the following question: How complete is the Swespineregister? In order to answer this question we believe that in a register that has the ambitionto follow-up patients throughout a specified period of time, two types of completeness haveto be defined: external and internal completeness. In our opinion, the correct assessment ofa register’s level of completeness, results in an increase in its credibility, revealing whetherthe register has met its desired level of quality.By defining the register’s target population we came to the conclusion that the methodused by Swespine to calculate external completeness yielded misleading results. We definedanother method of assessing external completeness and concluded that our questioncannot be answered.We have also found an appropriate way to calculate the register’s internal completenesslevel. Since the internal completeness decreases as the follow-up period increases, wesought to discover which groups of patients are more likely to respond to the follow-upquestionnaire. For this a Logistic Regression Method was applied.

Little attention has been given to the role organizational commitment plays within broader models of turnover and withdrawal behavior. Understanding and integrating organizational commitment into such models is an important step to fully appreciating the role that commitment plays in the workplace. The purpose of the current study was twofold. First, this study aimed to examine the moderating role that organizational commitment plays in the unfolding model of voluntary turnover. Second, this study set out to examine the role that the various forms of commitment play in the relationship between shocks and withdrawal-related variables. By utilizing a multidimensional model of commitment, a longitudinal design, and an industry sample, the current study is able to offer empirical evidence to support the role of commitment as a moderator in the relationship between shocks and workplace outcomes. Unique effects that the various forms of commitment have on specific shock-outcome relationships were uncovered, providing at least partial support for the majority of hypotheses offered in the current study. Combined with a unique approach for documenting and measuring the various types of shocks, researchers and practitioners should find numerous applications of the current study. Overall, the results of this study are promising both for what they say about the importance of organizational commitment, as well as for their application in future studies.

Logistic mixed effects models are used to determine whether optimal codons associate with two specific properties of the expressed protein: solvent accessibility, aggregation propensity, or evolutionary conservation. Both random components and fixed structures in the models are decided by following certain selection procedures. More models are also developed by considering different factor combinations using the same selection procedure. The results show that evolutionary conservation is the most important factor for predicting for the optimal codon usage for most amino acids; aggregation propensity is also an important factor, and solvent accessibility is the least important factor for most amino acids.The results of this analysis are consistent with the previous literature, provide more straightforward way to study the research question and also more information for the insight relationships. / text