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This study examined countertransference and other experiences of therapists serving suicidal patients. A survey was constructed to assess for aversion, narcissistic injury and similar iatrogenic constructs. Participants offered both Likert scale responses and spontaneous unstructured comments. Likert data were analyzed quantitatively. Content and phenomenological analyses were applied to the comments. The findings suggest that a substantial number of therapists treating suicidal patients experience negative countertransferences. The implications for training, treatment and supervision are disc...

Trust continues to be a leading concept in organizational commitment. Milligan (2003) conducted a survey looking at trust in the Air Force among junior officers. This study was conducted as a follow-up study to determine whether trust continues to be an issue in the Air Force. The purpose of this study is to measure the comparative strengths and weaknesses, as well as the significance, of leadership’s ability to gain trust from its subordinates in order to reduce the numbers of officers leaving after their commitment. This research measures organizational commitment and trust in a random sampl...

The study investigated the failure to integrate faith in daily work--a multifaceted problem important for interdisciplinary studies in religion and society. The Purpose in Life (PIL) test and the Engagement in Meaningful Work Scale (EMWS) were used to research how religious faith impacted work perceptions of mortuary college students. Students from Gupton-Jones College of Funeral Service in Atlanta, Georgia and John A. Gupton College in Nashville, Tennessee were chosen as the respondents. The following research question was examined: What were the effects of religiosity on mortuary college st...

The purpose of this thesis is to forecast the amount of network traffic in Transmission Control Protocol/Internet Protocol (TCP/IP) -based networks by using different time lags and various machine learning methods including Support Vector Machines (SVM), Multilayer Perceptron (MLP), Radial Basis Function (RBF) Neural Network, M5P (a decision tree with linear regression functions at the nodes), Random Forest (RF), Random Tree (RT), and Reduced Error Prunning Error (REPTree), and statistical regression methods including Multiple Linear Regression (MLR) and Holt-Winters and compare the performanc...

In the last two decades, a concern on how federal forests in the United States are managed has provoked concerns among different stakeholders, including NGOs. The purpose of this thesis is to contribute to the understanding of NGO influence on forest management legislation. Eight aspects were selected and compared in different study cases referring to legislative proposals dealing with forest management in order to define success criteria for a legislative initiative. The study indicates that the following criteria are particularly important to fulfill in order to influence forest management l...

The subtle nature of bias can cause leaders to be unaware of religiously based influences. The outcome can be both positive and negative. The leader can make decisions that are more effective by maximizing useful paradigms and constructs, or make less effective and inappropriate decisions through lack of evaluation of alternative approaches, data and responses. In either scenario, understanding one's internal nature is integral to maximizing one's leadership abilities. This qualitative study examined how United States commissioned and noncommissioned military leaders stationed in Europe descri...

Upper body power (UBP) is one of the most important factors affecting the performance of cross-country skiers during races. Although some initial studies have already attempted to predict UBP, until now, no study has attempted to apply machine learning methods combined with various feature selection algorithms to identify the discriminative features for prediction of UBP. The purpose of this study is to develop new prediction models for predicting the 10-second UBP (UBP10) and 60-second UBP (UBP60) of cross-country skiers by using General Regression Neural Networks (GRNN), Radial-Basis Functio...

The purpose of this thesis is to develop new hybrid admission decision prediction models by using different machine learning methods including Support Vector Machines (SVM), Multilayer Perceptron (MLP), Radial Basis Function (RBF) Network, TreeBoost (TB) and K-Means Clustering (KMC) combined with feature selection algorithms to investigate the effect of the predictor variables on the admission decision of a candidate to the School of Physical Education and Sports at Cukurova University. Three feature selection algorithms including Relief-F, F-Score and Correlation-based Feature Selection (CFS...

The aim of this study was to determine if there were gender differences in the performance of Chemistry practical skills among senior six girls and boys in selected mixed secondary schools in Kampala District from February to March 2004. The study participants were drawn from five mixed secondary schools in the district. A total of fifty students participated, half of them girls and the other half boys. A cross sectional descriptive research design was used involving both quantitative and qualitative research strategies. The instruments of data collection were a Chemistry practical test (Qua...

This study investigated the process of knowledge transfer during a company takeover. The target company is a small international company with offices in six countries that specializes in hydrology. The acquiring company is a large multinational with offices around the world. The acquirer has no experience in the hydrology business and this represents their first experience with the industry. A further factor in the study is looking at how the takeover is affected by differences in culture between the two businesses. The acquirer is very structured and the acquired highly informal. Data for th...