Manager's Perceptions of Alcohol Server Staffing and Training Methods

Over-consumption of alcoholic beverages is a concern of managers of hotels and motels with a club/lounge, restaurant, and tavern. The authors surveyed members of two industry associations in Oklahoma to ascertain alcohol server training methods and managers' perception of the value of such programs.

Returning to Server-Centric Hospitality System Applications

Application service provider models represent an alternative to in-house information systems and are gaining favor within the hospitality industry: The models, which place technical system components at a remote site, are described as server-centric. ASPs allow hospitality management to share investment dollars, system costs, and technical staff expenditure with an ASP operator, thereby concentrating on providing enhanced guest services. Although considered a viable alternative to in-house processing, not everyone agrees this is a favorable trend.

Alcohol Server Liability Law Suits Result From Dram Shop Statutes

The country is experiencing a trend of alcohol server liability law suits resulting from dram shop statutes and common law liability, relatively recent developments in the field of tort law. The author, an expert on liquor liability law, explores the meaning of this trend for the hospitality industry.

Algorithms for efficient transaction management and consistent queries in client -server semantic object-oriented parallel databases

Large read-only or read-write transactions with a large read set and a small write set constitute an important class of transactions used in such applications as data mining, data warehousing, statistical applications, and report generators. Such transactions are best supported with optimistic concurrency, because locking of large amounts of data for extended periods of time is not an acceptable solution. The abort rate in regular optimistic concurrency algorithms increases exponentially with the size of the transaction. The algorithm proposed in this dissertation solves this problem by using a new transaction scheduling technique that allows a large transaction to commit safely with significantly greater probability that can exceed several orders of magnitude versus regular optimistic concurrency algorithms. A performance simulation study and a formal proof of serializability and external consistency of the proposed algorithm are also presented.^ This dissertation also proposes a new query optimization technique (lazy queries). Lazy Queries is an adaptive query execution scheme which optimizes itself as the query runs. Lazy queries can be used to find an intersection of sub-queries in a very efficient way, which does not require full execution of large sub-queries nor does it require any statistical knowledge about the data.^ An efficient optimistic concurrency control algorithm used in a massively parallel B-tree with variable-length keys is introduced. B-trees with variable-length keys can be effectively used in a variety of database types. In particular, we show how such a B-tree was used in our implementation of a semantic object-oriented DBMS. The concurrency control algorithm uses semantically safe optimistic virtual "locks" that achieve very fine granularity in conflict detection. This algorithm ensures serializability and external consistency by using logical clocks and backward validation of transactional queries. A formal proof of correctness of the proposed algorithm is also presented. ^

Factors surgical team members perceive influence choices of wearing or not wearing personal protective equipment during operative /invasive procedures

Exposure to certain bloodborne pathogens can prematurely end a person’s life. Healthcare workers (HCWs), especially those who are members of surgical teams, are at increased risk of exposure to these pathogens. The proper use of personal protective equipment (PPE) during operative/invasive procedures reduces that risk. Despite this, some HCWs fail to consistently use PPE as required by federal regulation, accrediting agencies, hospital policy, and professional association standards. The purpose of this mixed methods survey study was to (a) examine factors surgical team members perceive influence choices of wearing or not wearing PPE during operative/invasive procedures and (b) determine what would influence consistent use of PPE by surgical team members. Using an ex post facto, non-experimental design, the memberships of five professional associations whose members comprise surgical teams were invited to complete a mixed methods survey study. The primary research question for the study was: What differences (perceptual and demographic) exist between surgical team members that influence their choices of wearing or not wearing PPE during operative/invasive procedures? Four principal differences were found between surgical team members. Functional (i.e., profession or role based) differences exist between the groups. Age and experience (i.e., time in profession) differences exist among members of the groups. Finally, being a nurse anesthetist influences the use of risk assessment to determine the level of PPE to use. Four common themes emerged across all groups informing the two study purposes. Those themes were: availability, education, leadership, and performance. Subsidiary research questions examined the influence of previous accidental exposure to blood or body fluids, federal regulations, hospital policy and procedure, leaders’ attitudes, and patients’ needs on the use of PPE. Each of these was found to strongly influence surgical team members and their use of PPE during operative/invasive procedures. Implications based on the findings affect organizational policy, purchasing and distribution decisions, curriculum design and instruction, leader behavior, and finally partnership with PPE manufacturers. Surgical team members must balance their innate need to care for patients with their need to protect themselves. Results of this study will help team members, leaders, and educators achieve this balance.

Development of a new client -server architecture for context aware mobile computing

This dissertation studies the context-aware application with its proposed algorithms at client side. The required context-aware infrastructure is discussed in depth to illustrate that such an infrastructure collects the mobile user’s context information, registers service providers, derives mobile user’s current context, distributes user context among context-aware applications, and provides tailored services. The approach proposed tries to strike a balance between the context server and mobile devices. The context acquisition is centralized at the server to ensure the reusability of context information among mobile devices, while context reasoning remains at the application level. Hence, a centralized context acquisition and distributed context reasoning are viewed as a better solution overall. The context-aware search application is designed and implemented at the server side. A new algorithm is proposed to take into consideration the user context profiles. By promoting feedback on the dynamics of the system, any prior user selection is now saved for further analysis such that it may contribute to help the results of a subsequent search. On the basis of these developments at the server side, various solutions are consequently provided at the client side. A proxy software-based component is set up for the purpose of data collection. This research endorses the belief that the proxy at the client side should contain the context reasoning component. Implementation of such a component provides credence to this belief in that the context applications are able to derive the user context profiles. Furthermore, a context cache scheme is implemented to manage the cache on the client device in order to minimize processing requirements and other resources (bandwidth, CPU cycle, power). Java and MySQL platforms are used to implement the proposed architecture and to test scenarios derived from user’s daily activities. To meet the practical demands required of a testing environment without the impositions of a heavy cost for establishing such a comprehensive infrastructure, a software simulation using a free Yahoo search API is provided as a means to evaluate the effectiveness of the design approach in a most realistic way. The integration of Yahoo search engine into the context-aware architecture design proves how context aware application can meet user demands for tailored services and products in and around the user’s environment. The test results show that the overall design is highly effective, providing new features and enriching the mobile user’s experience through a broad scope of potential applications.

A heuristic algorithm to generate test program sequences for moving probe electronic test equipment

The electronics industry, is experiencing two trends one of which is the drive towards miniaturization of electronic products. The in-circuit testing predominantly used for continuity testing of printed circuit boards (PCB) can no longer meet the demands of smaller size circuits. This has lead to the development of moving probe testing equipment. Moving Probe Test opens up the opportunity to test PCBs where the test points are on a small pitch (distance between points). However, since the test uses probes that move sequentially to perform the test, the total test time is much greater than traditional in-circuit test. While significant effort has concentrated on the equipment design and development, little work has examined algorithms for efficient test sequencing. The test sequence has the greatest impact on total test time, which will determine the production cycle time of the product. Minimizing total test time is a NP-hard problem similar to the traveling salesman problem, except with two traveling salesmen that must coordinate their movements. The main goal of this thesis was to develop a heuristic algorithm to minimize the Flying Probe test time and evaluate the algorithm against a "Nearest Neighbor" algorithm. The algorithm was implemented with Visual Basic and MS Access database. The algorithm was evaluated with actual PCB test data taken from Industry. A statistical analysis with 95% C.C. was performed to test the hypothesis that the proposed algorithm finds a sequence which has a total test time less than the total test time found by the "Nearest Neighbor" approach. Findings demonstrated that the proposed heuristic algorithm reduces the total test time of the test and, therefore, production cycle time can be reduced through proper sequencing.

Factors Surgical Team Members Perceive Influence Choices of Wearing or not Wearing Personal Protective Equipment During Operative/Invasive Procedures

Exposure to certain bloodborne pathogens can prematurely end a person’s life. Healthcare workers (HCWs), especially those who are members of surgical teams, are at increased risk of exposure to these pathogens. The proper use of personal protective equipment (PPE) during operative/invasive procedures reduces that risk. Despite this, some HCWs fail to consistently use PPE as required by federal regulation, accrediting agencies, hospital policy, and professional association standards. The purpose of this mixed methods survey study was to (a) examine factors surgical team members perceive influence choices of wearing or not wearing PPE during operative/invasive procedures and (b) determine what would influence consistent use of PPE by surgical team members. Using an ex post facto, non-experimental design, the memberships of five professional associations whose members comprise surgical teams were invited to complete a mixed methods survey study. The primary research question for the study was: What differences (perceptual and demographic) exist between surgical team members that influence their choices of wearing or not wearing PPE during operative/invasive procedures? Four principal differences were found between surgical team members. Functional (i.e., profession or role based) differences exist between the groups. Age and experience (i.e., time in profession) differences exist among members of the groups. Finally, being a nurse anesthetist influences the use of risk assessment to determine the level of PPE to use. Four common themes emerged across all groups informing the two study purposes. Those themes were: availability, education, leadership, and performance. Subsidiary research questions examined the influence of previous accidental exposure to blood or body fluids, federal regulations, hospital policy and procedure, leaders’ attitudes, and patients’ needs on the use of PPE. Each of these was found to strongly influence surgical team members and their use of PPE during operative/invasive procedures. Implications based on the findings affect organizational policy, purchasing and distribution decisions, curriculum design and instruction, leader behavior, and finally partnership with PPE manufacturers. Surgical team members must balance their innate need to care for patients with their need to protect themselves. Results of this study will help team members, leaders, and educators achieve this balance.

Development of a New Client-Server Architecture for Context Aware Mobile Computing

This dissertation studies the context-aware application with its proposed algorithms at client side. The required context-aware infrastructure is discussed in depth to illustrate that such an infrastructure collects the mobile user’s context information, registers service providers, derives mobile user’s current context, distributes user context among context-aware applications, and provides tailored services. The approach proposed tries to strike a balance between the context server and mobile devices. The context acquisition is centralized at the server to ensure the usability of context information among mobile devices, while context reasoning remains at the application level. Hence, a centralized context acquisition and distributed context reasoning are viewed as a better solution overall. The context-aware search application is designed and implemented at the server side. A new algorithm is proposed to take into consideration the user context profiles. By promoting feedback on the dynamics of the system, any prior user selection is now saved for further analysis such that it may contribute to help the results of a subsequent search. On the basis of these developments at the server side, various solutions are consequently provided at the client side. A proxy software-based component is set up for the purpose of data collection. This research endorses the belief that the proxy at the client side should contain the context reasoning component. Implementation of such a component provides credence to this belief in that the context applications are able to derive the user context profiles. Furthermore, a context cache scheme is implemented to manage the cache on the client device in order to minimize processing requirements and other resources (bandwidth, CPU cycle, power). Java and MySQL platforms are used to implement the proposed architecture and to test scenarios derived from user’s daily activities. To meet the practical demands required of a testing environment without the impositions of a heavy cost for establishing such a comprehensive infrastructure, a software simulation using a free Yahoo search API is provided as a means to evaluate the effectiveness of the design approach in a most realistic way. The integration of Yahoo search engine into the context-aware architecture design proves how context aware application can meet user demands for tailored services and products in and around the user’s environment. The test results show that the overall design is highly effective,providing new features and enriching the mobile user’s experience through a broad scope of potential applications.