Using the analytic hierarchy process to develop an overall rating of a celebrity is a new approach to enhance procedures such as the Q-Rating currently in practice. The Q-rating approach has received criticism on its usefulness because it essentially only considers familiarity and likeability of the celebrity. Using the AHP model approach allows users to input judgments as to how they feel about one celebrity compared to another with a specific set of criteria in mind. The model is an improvement over the Q-rating system because it includes a more complete set of attributes and, more importantly, has the ability to capture and analyse trade-offs among those attributes. Another improvement is that as situations change or evolve, the model can be easily updated to capture new information. This allows for celebrities' ratings to change over time and be more accurate given all available information.

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The use of technology in universities and colleges is an issue of interest and speculation. One issue related to technology use in the classroom is sustainability of resources that support the technology. This paper explores faculty perceptions about technology use and sustainability in an east coast university. This university has initiated a new program that has been charged with the objective of creating and maintaining a sustainability program. The program is still being developed, but a few of the key goals are to look at recycling campus-wide, printing costs in the computer labs and library, and exploring what the faculty perceptions are about using technology in the classroom. This paper focuses on the last goal; and in order to explore this objective, a survey was administered to the Schools of Business, Health Professions, Arts & Sciences and the Library. The research question addressed in this paper is the relationship between the use of technology in the classroom and the course discipline of the faculty teaching the class. The faculty participants in the survey included four of its academic schools - Business, Health Professions, Arts & Sciences, and the Library. Consequently, there are four different faculty affiliations based on their school. The research questions related to school assignments presented in this paper: Are there significant differences in the use of technology based on the school in which the faculty member is associated? Do technology-driven programs in the schools of business and library science tend to perceive the use of technology in the classroom differently than other schools? Are differences in the school of affiliation reflected in faculty views of importance of technology to the learning process? Are differences in the school of affiliation reflected in faculty perceptions in the use of technology devices, including the desktop computers, iPad/Tablets, Laptops, Smartphones, or E-Readers? Do faculty affiliations with schools impact their view of the importance moving toward the use of electronic documents? Do faculty affiliations impact whether technology devices are viewed as distractions? Are sustainability enthusiasts also technology enthusiasts?

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Bayesian analysis proceeds after a prior distribution has been specified. Restricting Bayesian priors to conjugate distributions may yield sub-optimal representations of an expert's prior beliefs. Additionally, there are some cases in which typical techniques for prior elicitation may have some limitations. A non-conjugate approach to Bayesian inference making use of sampling/importance resampling and the Analytic Hierarchy Process redresses these problems.