Innovation Leads to World's Largest Casual Dining Company

The chairman and CEO of Darden Restaurants, Inc. discusses the growth and success of the Red Lobster chain and the founding of the Olive Garden

A mathematical resolution to log transformations and the binning effect in applied processing of data in flow cytometry

This dissertation develops a new mathematical approach that overcomes the effect of a data processing phenomenon known as “histogram binning” inherent to flow cytometry data. A real-time procedure is introduced to prove the effectiveness and fast implementation of such an approach on real-world data. The histogram binning effect is a dilemma posed by two seemingly antagonistic developments: (1) flow cytometry data in its histogram form is extended in its dynamic range to improve its analysis and interpretation, and (2) the inevitable dynamic range extension introduces an unwelcome side effect, the binning effect, which skews the statistics of the data, undermining as a consequence the accuracy of the analysis and the eventual interpretation of the data. ^ Researchers in the field contended with such a dilemma for many years, resorting either to hardware approaches that are rather costly with inherent calibration and noise effects; or have developed software techniques based on filtering the binning effect but without successfully preserving the statistical content of the original data. ^ The mathematical approach introduced in this dissertation is so appealing that a patent application has been filed. The contribution of this dissertation is an incremental scientific innovation based on a mathematical framework that will allow researchers in the field of flow cytometry to improve the interpretation of data knowing that its statistical meaning has been faithfully preserved for its optimized analysis. Furthermore, with the same mathematical foundation, proof of the origin of such an inherent artifact is provided. ^ These results are unique in that new mathematical derivations are established to define and solve the critical problem of the binning effect faced at the experimental assessment level, providing a data platform that preserves its statistical content. ^ In addition, a novel method for accumulating the log-transformed data was developed. This new method uses the properties of the transformation of statistical distributions to accumulate the output histogram in a non-integer and multi-channel fashion. Although the mathematics of this new mapping technique seem intricate, the concise nature of the derivations allow for an implementation procedure that lends itself to a real-time implementation using lookup tables, a task that is also introduced in this dissertation. ^

The Food Service Industry: Beliefs Held by Academics

In his study - The Food Service Industry: Beliefs Held by Academics - by Jack Ninemeier, Associate Professor, School of Hotel, Restaurant and Institutional Management at Michigan State University, Associate Professor Ninemeier initially describes his study this way: “Those in the academic sector exert a great deal of influence on those they are training to enter the food service industry. One author surveyed educational institutions across the country to ascertain attitudes of teachers toward various segments of the industry.” Those essential segments of the industry serve as the underpinnings of this discussion and are four-fold. They are lodging, institutional, multi-unit, and single-unit properties. For each segment the analysis addressed factors relating to Marketing, management and operating concerns: Marketing, operations, fiscal management, innovation, future of the segment Employee-related concerns: quality of work life, training/education opportunities, career opportunities The study uses a survey of academicians as a guide; they point to segments of the food service industry students might be inclined to enter, or even ignore. The survey was done via a questionnaire sent from the campus of the School of Hotel, Restaurant and Institutional Management at Michigan State University to 1850 full-time faculty members in two and four-year hospitality programs in the United States. Through the survey, Ninemeier wishes to reasonably address specific problems now confronting the food service industry. Those problems include but are not limited to: reducing employee turnover, retaining staff, increasing productivity and revenue, and attracting new staff. “Teachers in these programs are, therefore, an important plank in industry's platform designed to recruit students with appropriate background knowledge and interest in their operations,” Ninemeier says. Your author actually illustrates the survey results, in table form. The importance to an employee, of tangibles and intangibles such as morale, ego/esteem, wages, and benefits are each explored through the survey. According to the study, an interesting dichotomy exists in the institutional property element. Although, beliefs the academics hold about the institutional element suggest that it offers low job stress, attractive working conditions, and non-demanding competitive pressures, the survey and Ninemeier also observe: “Academics do not believe that many of their graduates will enter the institutional segment.” “If academic beliefs are incorrect, an educational program to educate academics about management and employee opportunities in the segment may be in order,” Ninemeier waxes philosophically.

A mathematical resolution to log transformations and the binning effect in applied processing of data in flow cytometry

This dissertation develops a new mathematical approach that overcomes the effect of a data processing phenomenon known as "histogram binning" inherent to flow cytometry data. A real-time procedure is introduced to prove the effectiveness and fast implementation of such an approach on real-world data. The histogram binning effect is a dilemma posed by two seemingly antagonistic developments: (1) flow cytometry data in its histogram form is extended in its dynamic range to improve its analysis and interpretation, and (2) the inevitable dynamic range extension introduces an unwelcome side effect, the binning effect, which skews the statistics of the data, undermining as a consequence the accuracy of the analysis and the eventual interpretation of the data. Researchers in the field contended with such a dilemma for many years, resorting either to hardware approaches that are rather costly with inherent calibration and noise effects; or have developed software techniques based on filtering the binning effect but without successfully preserving the statistical content of the original data. The mathematical approach introduced in this dissertation is so appealing that a patent application has been filed. The contribution of this dissertation is an incremental scientific innovation based on a mathematical framework that will allow researchers in the field of flow cytometry to improve the interpretation of data knowing that its statistical meaning has been faithfully preserved for its optimized analysis. Furthermore, with the same mathematical foundation, proof of the origin of such an inherent artifact is provided. These results are unique in that new mathematical derivations are established to define and solve the critical problem of the binning effect faced at the experimental assessment level, providing a data platform that preserves its statistical content. In addition, a novel method for accumulating the log-transformed data was developed. This new method uses the properties of the transformation of statistical distributions to accumulate the output histogram in a non-integer and multi-channel fashion. Although the mathematics of this new mapping technique seem intricate, the concise nature of the derivations allow for an implementation procedure that lends itself to a real-time implementation using lookup tables, a task that is also introduced in this dissertation.

Impact of Employee Management on Hospitality Innovation Success

The author report on a survey of 185 hospitality manager to examine which employee management practices are associated with success in hospitality innovations. The result suggest that successful new hospitality projects are guided by a strategic human resource management approach, have higher level of training, implement behavior- bared evaluation of their front-line staff and empower their employees.