Determining Theme Park Attraction Attributes: An Analysis of Factors that Impact Theme Park Attraction Popularity and Success

Theme parks have some attractions that are more popular than others, referred to as main ticket attractions (MTA). The purpose of this thesis is to create a model which can successfully predict whether or not theme park attractions are considered MTA. Data from leading USA theme park attractions has been recorded and analyzed for this thesis. A neural network model has been created using Matlab that categorizes attractions with up to 85% accuracy. However, some of the inputs are considered unstable once run through SAS JMP. To create a comparative study, a decision tree has been created in Matlab with the same 15 inputs. Five attractions were withheld from the models to compare their results. In the end, the decision tree categorized 90% of the attractions correctly, while the neural network categorized 80% appropriately

A provisional UniGene clone set based on ESTs from Neurospora crassa

We have constructed a list of N. crassa cDNA clones for which partial sequences exist, toward the goal of maximizing the number of genes represented while avoiding redundancy. This effort employed GenBank sequences from the combined N. crassa EST projects at the University of New Mexico, the University of Oklahoma and Dartmouth College (27,557 ESTs; Nelson et al. 1997 Fungal Genet. Biol.21:348-363; Zhu et al. 2001 Genetics 157: 1057-1065). The current list, subject to ongoing revision, includes 2842 clones and is available at the web site of the Neurospora Genome Project (NGP) at the University of New Mexico (http://www.unm.edu/~ngp/), along with details of its construction. Each cDNA clone in the list represents a unique gene. We have also assembled a UniGene set of cDNA clones for that portion of the UniGene set that is represented in libraries constructed by the NGP at UNM. This UniGene library is comprised of 1786 clones distributed in 20 96-well dishes, and it is available through the Fungal Genetics Stock Center