Current Status of Collectibility of Gaming-Related Credit Dollars

In her piece entitled - Current Status Of Collectability Of Gaming-Related Credit Dollars - Ruth Lisa Wenof, Graduate Student at Florida International University initially states: “Credit is an important part of incentives used to lure gamblers to gaming establishments. However, a collection problem exists in casinos retrieving gaming-related credit losses of individuals living in states where gambling is illegal. The author discusses the history of this question, citing recent cases related to Atlantic City.” This author’s article is substantially laden with legal cases associated with casinos in New Jersey; Atlantic City to be exact. The piece is specific to the segment of the gaming industry that the title suggests, and as such is written in a decidedly technical style. “Legalized casino gaming, which was approved by the citizens of New Jersey on November 8, 1976, has been used as a unique tool of urban redevelopment for Atlantic City,” Wenof says in providing some background on this ‘Jersey shore municipality. “Since Resorts International opened its casino…revenues from gambling have increased rapidly. Resorts' gross win in 1978 was $134 million,” Wenof says. “Since then, the combined gross win of the city's 11 casinos has been just shy of $7.5 billion.” The author points out that the competition for casino business is fierce and that credit dollars play an integral role in soliciting such business. “Credit plays a most important part in every casino hotel. This type of gambler is given every incentive to come to a particular hotel,” says the author. “Airplanes, limousines, suites, free meals, and beverages all become a package for the person who can sign a marker. The credit department of a casino is similar to that of a bank. A banker who loans money knows that it must be paid back or his bank will fail. This is indeed true of a casino,” Wenof warns in outlining the potential problem that this article is fundamentally designed around. In providing further background on credit essentials and possible pitfalls, Wenof affords: “…on the Casino Control Act the State Commission of Investigation recommended to the legislature that casinos should not be allowed to extend credit at all, by reason of a concern for illicit diversion of revenues, which is popularly called skimming within the industry…” Although skimming is an after-the-fact problem, and is parenthetic to loan returns, it is an important element of the collective [sic] credit scheme. “A collection problem of prime importance is if a casino can get back gaming-related credit dollars advanced by the casino to a gambler who lives in a state where gambling is illegal,” is a central factor to consider, Wenof reveals. This is a primary focus of this article. Wenof touches on the social/societal implications of gambling, and then continues the discussion by citing a host of legal cases pertaining to debt collection.

Strategic Approach to Smoking Bans: Delaware Gaming Industry

A study of Delaware’s statewide smoking ban suggests that it may have had a significant negative economic impact on the state’s gaming industry. However, such impact may vary in different segments of the hospitality industry, and therefore, must be examined strategically and on a case-by-case basis. The specific market environment, including both demand and competition of each state or each municipality, should be carefully analyzed by both governmental decision makers and by hospitality operators who influence these decision makers.

Maintaining your loyal customers during hard times: An observation from the gaming industry

The Las Vegas gaming arena was one of the most severely affected consumeroriented industries to be impacted by the recent economic recession. The purpose of this study was to investigate the impact of relational benefits on customers’ behavioral loyalty in the Las Vegas gaming industry. This study particularly took a comparative approach and examined the relational impact during the economic recession and after the economic recession. Secondary data was obtained and regression analysis was performed to test the study hypothesis. The findings of this study revealed the economic recession impact on the Las Vegas gaming industry, as well as valuable insights for effective utilization of relational benefits to increase customer loyalty.

The Nevada Gaming Debt Collection Experience

In the discussion - The Nevada Gaming Debt Collection Experience - by Larry D. Strate, Assistant Professor, College of Business and Economics at the University of Nevada, Las Vegas, Assistant Professor Strate initially outlines the article by saying: “Even though Nevada has had over a century of legalized gaming experience, the evolution of gaming debt collection has been a recent phenomenon. The author traces that history and discusses implications of the current law.” The discussion opens with a comparison between the gaming industries of New Jersey/Atlantic City, and Las Vegas, Nevada. This contrast serves to point out the disparities in debt handling between the two. “There are major differences in the development of legalized gaming for both Nevada and Atlantic City. Nevada has had over a century of legalized gambling; Atlantic City, New Jersey, has completed a decade of its operation,” Strate informs you. “Nevada's gaming industry has been its primary economic base for many years; Atlantic City's entry into gaming served as a possible solution to a social problem. Nevada's processes of legalized gaming, credit play, and the collection of gaming debts were developed over a period of 125 years; Atlantic City's new industry began with gaming, gaming credit, and gaming debt collection simultaneously in 1976 [via the New Jersey Casino Control Act] .” The irony here is that Atlantic City, being the younger venue, had or has a better system for handling debt collection than do the historic and traditional Las Vegas properties. Many of these properties were duplicated in New Jersey, so the dichotomy existed whereby New Jersey casinos could recoup debt while their Nevada counterparts could not. “It would seem logical that a "territory" which permitted gambling in the early 1800’s would have allowed the Nevada industry to collect its debts as any other legal enterprise. But it did not,” Strate says. Of course, this situation could not be allowed to continue and Strate outlines the evolution. New Jersey tactfully benefitted from Nevada’s experience. “The fundamental change in gaming debt collection came through the legislature as the judicial decisions had declared gaming debts uncollectable by either a patron or a casino,” Strate informs you. “Nevada enacted its gaming debt collection act in 1983, six years after New Jersey,” Strate points out. One of the most noteworthy paragraphs in the entire article is this: “The fundamental change in 1983, and probably the most significant change in the history of gaming in Nevada since the enactment of the Open Gaming Law of 1931, was to allow non-restricted gaming licensees* to recover gaming debts evidenced by a credit instrument. The new law incorporated previously litigated terms with a new one, credit instrument.” The term is legally definable and gives Nevada courts an avenue of due process.

An investigation of computer anxiety among vocational -technical teachers in Dade County, Florida

The purpose of this research was to investigate the relationship of computer anxiety to selected demographic variables: learning styles, age, gender, ethnicity, teaching/professional areas, educational level, and school types among vocational-technical educators.^ The subjects (n = 202) were randomly selected vocational-technical educators from Dade County Public School System, Florida, stratified across teaching/professional areas. All subjects received the same survey package in the spring of 1996. Subjects self-reported their learning style and level of computer anxiety by completing Kolb's Learning Style Inventory (LSI) and Oetting's Computer Anxiety Scale (COMPAS, Short Form). Subjects' general demographic information and their experience with computers were collected through a self-reported Participant Inventory Form.^ The distribution of scores suggested that some educators (25%) experienced some overall computer anxiety. There were significant correlations between computer related experience as indicated by self-ranked computer competence and computer based training and computer anxiety. One-way analyses of variance (ANOVA) indicated no significant differences between computer anxiety and/or computer related experiences, and learning style, age, and ethnicity. There were significant differences between educational level, teaching area, school type, and computer anxiety and/or computer related experiences. T-tests indicated significant differences between gender and computer related experiences. However, there was no difference between gender and computer anxiety.^ Analyses of covariance (ANCOVA) were performed for each independent variable on computer anxiety, with computer related experiences (self-ranked computer competence and computer based training) as the respective covariates. There were significant main effects for the educational level and school type on computer anxiety. All other variables were insignificant on computer anxiety. ANCOVA also revealed an effect for learning style varied notably on computer anxiety. All analyses were conducted at the.05 level of significance. ^

Hospitality Graduate Students’ Program Choice Decisions: Implications for Faculty and Administrators

Despite rapid growth in the quality and volume of hospitality graduate research and education in recent years, little information is available in the extant body of literature about the program choices of hospitality management graduate students, information that is crucial for program administrators and faculty in their attempts to attract the most promising students to their programs. This paper reports on a study among graduate students in U.S, hospitality management programs designed to understand why they chose to pursue their degrees at their programs of choice. Given the large numbers of international students presently enrolled, the study additionally looked into why international hospitality management students chose to leave their home countries and why they decided to pursue a graduate degree in the U.S. Based on the findings, implications for hospitality administrators and faculty in the U.S. and abroad are discussed and directions for future research are presented.

Formal modeling and analysis techniques for high level Petri nets

Petri Nets are a formal, graphical and executable modeling technique for the specification and analysis of concurrent and distributed systems and have been widely applied in computer science and many other engineering disciplines. Low level Petri nets are simple and useful for modeling control flows but not powerful enough to define data and system functionality. High level Petri nets (HLPNs) have been developed to support data and functionality definitions, such as using complex structured data as tokens and algebraic expressions as transition formulas. Compared to low level Petri nets, HLPNs result in compact system models that are easier to be understood. Therefore, HLPNs are more useful in modeling complex systems. ^ There are two issues in using HLPNs—modeling and analysis. Modeling concerns the abstracting and representing the systems under consideration using HLPNs, and analysis deals with effective ways study the behaviors and properties of the resulting HLPN models. In this dissertation, several modeling and analysis techniques for HLPNs are studied, which are integrated into a framework that is supported by a tool. ^ For modeling, this framework integrates two formal languages: a type of HLPNs called Predicate Transition Net (PrT Net) is used to model a system's behavior and a first-order linear time temporal logic (FOLTL) to specify the system's properties. The main contribution of this dissertation with regard to modeling is to develop a software tool to support the formal modeling capabilities in this framework. ^ For analysis, this framework combines three complementary techniques, simulation, explicit state model checking and bounded model checking (BMC). Simulation is a straightforward and speedy method, but only covers some execution paths in a HLPN model. Explicit state model checking covers all the execution paths but suffers from the state explosion problem. BMC is a tradeoff as it provides a certain level of coverage while more efficient than explicit state model checking. The main contribution of this dissertation with regard to analysis is adapting BMC to analyze HLPN models and integrating the three complementary analysis techniques in a software tool to support the formal analysis capabilities in this framework. ^ The SAMTools developed for this framework in this dissertation integrates three tools: PIPE+ for HLPNs behavioral modeling and simulation, SAMAT for hierarchical structural modeling and property specification, and PIPE+Verifier for behavioral verification.^

Customer Satisfaction and Behavioral Intentions: The Case of Aruba-- Small Island Nation

Tourism studies related to small island destinations have become a research stream amongst many academics in recent years. The current study investigates tourist satisfaction related to a tour operator on the island of Aruba that specializes in jeep and bus tours. As there is an increased expenditure pattern for these types of activities, companies are looking for ways to improve customer satisfaction and behavioral intentions. Results indicate that tourists are generally satisfied with the tour company; however a difference in satisfaction ratings was obtained for respondents 61 years old or above. Four factors were extracted from tourists’ satisfaction attributes and three of these factors, including the overall tour value, tour guide, and sound systems used during these tours, were found to be strong predictors of behavioral intentions measured by the likelihood to rebook and the likelihood to recommend the tour company to family and friends. Operational and marketing strategies were suggested based on the findings of the study.

Tequila at Sunrise: Spring Break Travel Motivations and Risk Behaviors of American Students in Acapulco, Mexico

Little research has been completed regarding spring break motivations and behaviors of American students in foreign destinations, specifically in Mexico. This paper looks at push and pull motivations in relation to drug and alcohol consumption and findings indicate greater drug and alcohol use among those who selected “party reputation” and “to go wild” as travel motivations. Binge drinking, sexual activity, and drug use among students on spring break in Acapulco, Mexico were also analyzed and compared to past findings within the United States. Results suggest that students are involved in heavy alcohol consumption and significant drug use. Additionally, high rates of sexual activity occur on spring break and results suggest low condom use, placing students at higher risks for the contraction of sexually transmitted infections.

Consumers’ Reactions to Sanitation in Casual Dining, Quick-Service, and Fine Dining Restaurants

Consumers’ concern about food safety, sanitation, and health has increased since food-borne illnesses still frequently occur in the US. This article explored consumers’ perceptions, emotions, and behavioral intention about the sanitation of the physical environment in three different restaurant settings, casual dining, quick-service, and fine dining restaurants. Disgust was the most strongly felt negative emotion, but no significant differences were found for negative emotional reactions to dirty conditions among the three types of restaurants. Positive emotional reactions were significantly different among the restaurant types. Behavioral intention was also significantly different among the three restaurant types as a reaction to dirty food. The findings help restaurant owners and managers understand how consumers feel and react to “dirty” food, service staff, or dining room tables in casual, quick-service and fine dining restaurant.

The Construction and Optimization on an Ion Mobility Spectrometer for the Analysis of Explosives and Drugs

Today, over 15,000 Ion Mobility Spectrometry (IMS) analyzers are employed at worldwide security checkpoints to detect explosives and illicit drugs. Current portal IMS instruments and other electronic nose technologies detect explosives and drugs by analyzing samples containing the headspace air and loose particles residing on a surface. Canines can outperform these systems at sampling and detecting the low vapor pressure explosives and drugs, such as RDX, PETN, cocaine, and MDMA, because these biological detectors target the volatile signature compounds available in the headspace rather than the non-volatile parent compounds of explosives and drugs. In this dissertation research volatile signature compounds available in the headspace over explosive and drug samples were detected using SPME as a headspace sampling tool coupled to an IMS analyzer. A Genetic Algorithm (GA) technique was developed to optimize the operating conditions of a commercial IMS (GE Itemizer 2), leading to the successful detection of plastic explosives (Detasheet, Semtex H, and C-4) and illicit drugs (cocaine, MDMA, and marijuana). Short sampling times (between 10 sec to 5 min) were adequate to extract and preconcentrate sufficient analytes (> 20 ng) representing the volatile signatures in the headspace of a 15 mL glass vial or a quart-sized can containing ≤ 1 g of the bulk explosive or drug. Furthermore, a research grade IMS with flexibility for changing operating conditions and physical configurations was designed and fabricated to accommodate future research into different analytes or physical configurations. The design and construction of the FIU-IMS were facilitated by computer modeling and simulation of ion’s behavior within an IMS. The simulation method developed uses SIMION/SDS and was evaluated with experimental data collected using a commercial IMS (PCP Phemto Chem 110). The FIU-IMS instrument has comparable performance to the GE Itemizer 2 (average resolving power of 14, resolution of 3 between two drugs and two explosives, and LODs range from 0.7 to 9 ng). The results from this dissertation further advance the concept of targeting volatile components to presumptively detect the presence of concealed bulk explosives and drugs by SPME-IMS, and the new FIU-IMS provides a flexible platform for future IMS research projects.

Computer program for the analysis of non-prismatic beams

One of the major problems in the analysis of beams with Moment of Inertia varying along their length, is to find the Fixed End Moments, Stiffness, and Carry-Over Factors. In order to determine Fixed End Moments, it is necessary to consider the non-prismatic member as integrated by a large number of small sections with constant Moment of Inertia, and to find the M/EI values for each individual section. This process takes a lot of time from Designers and Structural Engineers. The object of this thesis is to design a computer program to simplify this repetitive process, obtaining rapidly and effectively the Final Moments and Shears in continuous non-prismatic Beams. For this purpose the Column Analogy and the Moment Distribution Methods of Professor Hardy Cross have been utilized as the principles toward the methodical computer solutions. The program has been specifically designed to analyze continuous beams of a maximum of four spans of any length, integrated by symmetrical members with rectangular cross sections and with rectilinear variation of the Moment of Inertia. Any load or combination of uniform and concentrated loads must be considered. Finally sample problems will be solved with the new Computer Program and with traditional systems, to determine the accuracy and applicability of the Program.

An evaluation of a curriculum response to the State of Florida mandate for computer literacy at a large comprehensive high school in Dade County, Florida

Minimum Student Performance Standards in Computer Literacy and Science were passed by the Florida Legislature through the Educational Reform Act of 1983. This act mandated that all Florida high school graduates receive training in computer literacy. Schools and school systems were charged with the task of determining the best methods to deliver this instruction to their students. The scope of this study is to evaluate one school's response to the state of Florida's computer literacy mandate. The study was conducted at Miami Palmetto Senior High School, located in Dade County, Florida. The administration of Miami Palmetto Senior High School chose to develop and implement a new program to comply with the state mandate - integrating computer literacy into the existing biology curriculum. The study evaluated the curriculum to determine if computer literacy could be integrated successfully and meet both the biology and computer literacy objectives. The findings in this study showed that there were no significant differences between biology scores of the students taking the integrated curriculum and those taking a traditional curriculum of biology. Student in the integrated curriculum not only met the biology objectives as well as those in the traditional curriculum, they also successfully completed the intended objectives for computer literacy. Two sets of objectives were successfully completed in the integrated classes in the same amount of time used to complete one set of objectives in the traditional biology classes. Therefore, integrated curriculum was the more efficient means of meeting the intended objectives of both biology and computer literacy.

Formal Modeling and Analysis Techniques for High Level Petri Nets

Petri Nets are a formal, graphical and executable modeling technique for the specification and analysis of concurrent and distributed systems and have been widely applied in computer science and many other engineering disciplines. Low level Petri nets are simple and useful for modeling control flows but not powerful enough to define data and system functionality. High level Petri nets (HLPNs) have been developed to support data and functionality definitions, such as using complex structured data as tokens and algebraic expressions as transition formulas. Compared to low level Petri nets, HLPNs result in compact system models that are easier to be understood. Therefore, HLPNs are more useful in modeling complex systems. There are two issues in using HLPNs - modeling and analysis. Modeling concerns the abstracting and representing the systems under consideration using HLPNs, and analysis deals with effective ways study the behaviors and properties of the resulting HLPN models. In this dissertation, several modeling and analysis techniques for HLPNs are studied, which are integrated into a framework that is supported by a tool. For modeling, this framework integrates two formal languages: a type of HLPNs called Predicate Transition Net (PrT Net) is used to model a system's behavior and a first-order linear time temporal logic (FOLTL) to specify the system's properties. The main contribution of this dissertation with regard to modeling is to develop a software tool to support the formal modeling capabilities in this framework. For analysis, this framework combines three complementary techniques, simulation, explicit state model checking and bounded model checking (BMC). Simulation is a straightforward and speedy method, but only covers some execution paths in a HLPN model. Explicit state model checking covers all the execution paths but suffers from the state explosion problem. BMC is a tradeoff as it provides a certain level of coverage while more efficient than explicit state model checking. The main contribution of this dissertation with regard to analysis is adapting BMC to analyze HLPN models and integrating the three complementary analysis techniques in a software tool to support the formal analysis capabilities in this framework. The SAMTools developed for this framework in this dissertation integrates three tools: PIPE+ for HLPNs behavioral modeling and simulation, SAMAT for hierarchical structural modeling and property specification, and PIPE+Verifier for behavioral verification.