Industry Education: The Merger Continues

In the discussion - Industry Education: The Merger Continues - by Rob Heiman Assistant Professor Hospitality Food Service Management at Kent State University, the author originally declares, “Integrating the process of an on-going catering and banquet function with that of selected behavioral academic objectives leads to an effective, practical course of instruction in catering and banquet management. Through an illustrated model, this article highlights such a merger while addressing a variety of related problems and concerns to the discipline of hospitality food service management education.” The article stresses the importance of blending the theoretical; curriculum based learning process with that of a hands-on approach, in essence combining an in-reality working program, with academics, to develop a well rounded hospitality student. “How many programs are enjoying the luxury of excessive demand for students from industry [?],” the author asks in proxy for, and to highlight the immense need for qualified personnel in the hospitality industry. As the author describes it, “An ideal education program concerns itself with the integration of theory and simulation with hands-on experience to teach the cognitive as well as the technical skills required to achieve the pre-determined hospitality education objectives.” In food service one way to achieve this integrated learning curve is to have the students prepare foods and then consume them. Heiman suggests this will quickly illustrate to students the rights and wrongs of food preparation. Another way is to have students integrating the academic program with feeding the university population. Your author offers more illustrations on similar principles. Heiman takes special care in characterizing the banquet and catering portions of the food service industry, and he offers empirical data to support the descriptions. It is in these areas, banquet and catering, that Heiman says special attention is needed to produce qualified students to those fields. This is the real focus of the discussion, and it is in this venue that the remainder of the article is devoted. “Based on the perception that quality education is aided by implementing project assignments through the course of study in food service education, a model description can be implemented for a course in Catering and Banquet Management and Operations. This project model first considers the prioritized objectives of education and industry and then illustrates the successful merging of resources for mutual benefits,” Heiman sketches. The model referred to above is also the one aforementioned in the thesis statement at the beginning of the article. This model is divided into six major components; Heiman lists and details them. “The model has been tested through two semesters involving 29 students,” says Heiman. “Reaction by all participants has been extremely positive. Recent graduates of this type of program have received a sound theoretical framework and demonstrated their creative interpretation of this theory in practical application,” Heiman says in summation.

Reverse Engineering of Modified Genes by Bayesian Network Analysis Defines Molecular Determinants Critical to the Development of Glioblastoma

In this study we have identified key genes that are critical in development of astrocytic tumors. Meta-analysis of microarray studies which compared normal tissue to astrocytoma revealed a set of 646 differentially expressed genes in the majority of astrocytoma. Reverse engineering of these 646 genes using Bayesian network analysis produced a gene network for each grade of astrocytoma (Grade I–IV), and ‘key genes’ within each grade were identified. Genes found to be most influential to development of the highest grade of astrocytoma, Glioblastoma multiforme were: COL4A1, EGFR, BTF3, MPP2, RAB31, CDK4, CD99, ANXA2, TOP2A, and SERBP1. All of these genes were up-regulated, except MPP2 (down regulated). These 10 genes were able to predict tumor status with 96–100% confidence when using logistic regression, cross validation, and the support vector machine analysis. Markov genes interact with NFkβ, ERK, MAPK, VEGF, growth hormone and collagen to produce a network whose top biological functions are cancer, neurological disease, and cellular movement. Three of the 10 genes - EGFR, COL4A1, and CDK4, in particular, seemed to be potential ‘hubs of activity’. Modified expression of these 10 Markov Blanket genes increases lifetime risk of developing glioblastoma compared to the normal population. The glioblastoma risk estimates were dramatically increased with joint effects of 4 or more than 4 Markov Blanket genes. Joint interaction effects of 4, 5, 6, 7, 8, 9 or 10 Markov Blanket genes produced 9, 13, 20.9, 26.7, 52.8, 53.2, 78.1 or 85.9%, respectively, increase in lifetime risk of developing glioblastoma compared to normal population. In summary, it appears that modified expression of several ‘key genes’ may be required for the development of glioblastoma. Further studies are needed to validate these ‘key genes’ as useful tools for early detection and novel therapeutic options for these tumors.

A Review of Merger and Acquisition Wave Literature: Proposing Future Research in the Restaurant Industry

The purpose of this study is to identify research trends in Merger and Acquisition waves in the restaurant industry and propose future research directions by thoroughly reviewing existing Merger and Acquisition related literature. Merger and Acquisition has been extensively used as a strategic management tool for fast growth in the restaurant industry. However, there has been a very limited amount of literature that focuses on Merger & Acquisition in the restaurant industry. Particular, no known study has been identified that examined M&A wave and its determinants. A good understanding of determinants of M&A wave will help practitioners identify important factors that should be considered before making M&A decisions and predict the optimal timing for successful M&A transactions. This study examined literature on six U.S M&A waves and their determinants and summarized main explanatory factors examined, statistical methods, and theoretical frameworks. Inclusion of unique macroeconomic factors of the restaurant industry and the use of factor analysis are suggested for future research.