Senior Visitors to North Carolina: Characteristics and Behaviors

The purpose of this paper is to describe the travel behaviors and characteristics of senior visitors to North Carolina. Specifically, three dimensions of senior travel are described: (1) trip planning behaviors, (2) trip behaviors and characteristics, and (3) traveler characteristics

Texas 4-H Members’ Sense of Community Engagement and Attachment

Previous researchers found that youth in 4-H were four times more likely to actively contribute to their communities, two times more likely to be civically active, and five times more likely to graduate from college than non-4- H members. In addition, youth who were more actively involved in community engagement tended to perform at an increased academic achievement level and were more likely to go to college, according to previous studies. The results of the research reported here described participants’ community service and engagement activities both in and outside of 4-H and their attachment to their home communities. Respondents were mostly residents of rural areas, farms, or small towns and cities. They were satisfied with where they lived, and they reported that contributing to their community was important to them and believed it made a positive influence on their life. Most participants also indicated that the community in which they lived and the people closest to them were important parts of their lives and contributed positively to their development. By determining current 4-H members’ level of community attachment, Extension professionals can better understand the influence a community and its stakeholders have in a young person’s leadership development and aspirations

Advanced timeline systems

The Mission Planning Division of the Mission Operations Laboratory at NASA's Marshall Space Flight Center is responsible for scheduling experiment activities for space missions controlled at MSFC. In order to draw statistically relevant conclusions, all experiments must be scheduled at least once and may have repeated performances during the mission. An experiment consists of a series of steps which, when performed, provide results pertinent to the experiment's functional objective. Since these experiments require a set of resources such as crew and power, the task of creating a timeline of experiment activities for the mission is one of resource constrained scheduling. For each experiment, a computer model with detailed information of the steps involved in running the experiment, including crew requirements, processing times, and resource requirements is created. These models are then loaded into the Experiment Scheduling Program (ESP) which attempts to create a schedule which satisfies all resource constraints. ESP uses a depth-first search technique to place each experiment into a time interval, and a scoring function to evaluate the schedule. The mission planners generate several schedules and choose one with a high value of the scoring function to send through the approval process. The process of approving a mission timeline can take several months. Each timeline must meet the requirements of the scientists, the crew, and various engineering departments as well as enforce all resource restrictions. No single objective is considered in creating a timeline. The experiment scheduling problem is: given a set of experiments, place each experiment along the mission timeline so that all resource requirements and temporal constraints are met and the timeline is acceptable to all who must approve it. Much work has been done on multicriteria decision making (MCDM). When there are two criteria, schedules which perform well with respect to one criterion will often perform poorly with respect to the other. One schedule dominates another if it performs strictly better on one criterion, and no worse on the other. Clearly, dominated schedules are undesireable. A nondominated schedule can be generated by some sort of optimization problem. Generally there are two approaches: the first is a hierarchical approach while the second requires optimizing a weighting or scoring function

Cutting Costs - Cutting Care: Can Texas Managed Health Care Systems and HMOs Be Liable for the Medical Malpractice of Physicians.

One of the most common forms of managed health care is the health maintenance organization (HMO). An HMO is a quasi-insurance arrangement which provides health care to subscribers for a prepaid monthly fee. These have been attractive as they offer health care at lower cost to consumers. Health care brokers have developed four standard models of HMOs— “staff model,” “group model,” “network model,” and “independent practice association” (IPA) model. Given the degree of control HMOs exercise over member-physicians under any of the above models, Texas courts should hold HMOs liable for their member-physicians’ malpractice under the doctrine of vicarious liability, including respondeat superior, apparent agency, agency by estoppel, and nondelegable duties. In addition to vicarious liability for member-physicians\u27 malpractice, Texas HMOs should face direct liability for their own tortious conduct under the doctrine of corporate negligence. Texas courts use many legal tools to protect citizens from unreasonable risk of harm. Texans looking to medical brokers for health care face greater risks of harm from medical malpractice than patients in hospitals. Further, given the high degree of control HMOs exercise over patient care, subscribers face additional threats of harm due to improper action by the HMO itself. Texas courts have been vigilant in their efforts to protect hospital patients from the malpractice of physicians practicing in hospitals and the wrongful actions of the hospital itself. Implicitly, Texas courts have determined the minor financial burden on health care costs created by finding liability for medical negligence is vastly outweighed by the deterrent effects of such liability and the need to compensate victims. Therefore, no reason exists for refusing to protect Texans simply because they are receiving care from an HMO

Resident perceptions and responses to tourism: individual vs community level impacts

This paper reviews resident tourism attitude research through the lens of the individual- and community-level perceived impacts of and responses to tourism. It explores how perceived impacts of tourism and responses to tourism development have been conceptualised and measured in the existing resident attitudes models published between 1990 and 2020. Three categories of variables were identified and used: antecedent variables, tourism impact variables, and dependent variables. The latter three categories are used to discuss the research topic from the lenses of improvements in measurement instruments. Finally, the paper suggests rethinking the overall conceptualisation of residents’ perceptions of and reactions to tourism – it proposes future research directions to distinguish between individual-level and community-level effects and reactions