647 books found

Using a quantitative causal-comparative approach, the researcher conducted a relational study that compared injured and rehabilitated soldiers with no religious foundation to similar soldiers possessing religious preferences and spirituality. The two primary research questions were (a) Does religious preference and ...

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 ...

The study examined the effects of rural and urban orientations on pupils’ performance on WISC-R (a standardised intelligence test). The study made use of an experimental method. The data were collected on a sample of 100 primary school pupils (50 rural and 50 urban). The participants were from grade 5 and had an ...

This study analyzes experimental data generated by human subjects using the Perspecta 3D Volumetric Display and a 2D flat screen liquid crystal display (LCD). The analysis reveals differences in how experiment participants used the display technologies.

The core issue underlying the bulk of scholarly research into the Japanese political economy is the relationship between the bureaucracy and the politicians. My study investigates whether there has been a relative decline in bureaucratic influence and whether politicians are displaying more independence in the policy ...

School psychologists have an ethical obligation to be advocates for students. However, the ethical principles of the National Association of School Psychologists (NASP) do not define what it means for school psychologists to be advocates for students, except through the inferences that may be drawn from what school ...

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 ...

Due to recent climate change, the character of environmental regional planning has shifted to address the anticipated extreme increases in sea level rise. As such, this project, based on existing scientific research/data, proposes a spatial, habitable landscape architectural solution as a model for flood mitigation ...

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 ...

Christian Right groups’ recent campaigns to ban same-sex marriage hide more than an antigay agenda, encompassing a much greater discussion on the meaning of American freedom. This thesis takes starting point in a conundrum formed by conservative Christian claims, defining personal freedom in a restriction of ...