1697 research outputs found
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Volleyball Players, undated
No full textThis photo features a volleyball player serving a volleyball during a game in the gym.https://fuse.franklin.edu/athletics/1005/thumbnail.jp
The Impact of Liquid Plasma in Massive and Emergency Blood Transfusion
No full textMassive bleeding remains one of the leading potentially preventable causes of death in the United States, accounting for more than 50% of mortality rates (Marietta, Marco et al., 2011). Massive transfusion protocol (MTP) is a rapid transfusion of a large amount of blood and blood products (more than ten units of red blood cells in twenty-four hours, or four units of red blood cells in an hour, or any four blood components in 30 minutes) in a short period of time (Thurn et al., 2019). The blood products\u27 ratios included in the massive transfusion protocol are distinct and composed of red blood cells, fresh frozen plasma, and platelets. Developing and establishing electronic records for massive transfusion protocols may improve patient outcomes (Broxton et al., 2017). Using liquid plasma during a massive transfusion protocol may improve patient survival rate by decreasing the blood product delivery time to the patient\u27s bedside and reducing healthcare costs by lowering blood product waste (Beckermann et al., 2022). In this quantitative study, the researcher analyzed retrospective medical records from a Level One Medical Trauma Center in the Southwest United States to answer the research question. Data regarding using liquid plasma in massive blood transfusion outcomes were collected from the hospital records for pre- and post-liquid plasma usage implementation. The study investigated the following research question: For patients who require emergency and massive transfusion, what is the impact of using liquid plasma compared to fresh frozen plasma on blood product wastage and plasma-saving cost one year before and after using liquid plasma
A Qualitative Inquiry Into a Community College Leadership Development Program
No full textLeadership development programs offer the opportunity for an organization to invest within to identify and support the next generation of leaders. Community colleges are complex organizations whose survival depends on competent leaders who can address the organization\u27s business and academic needs. The academia and departmental isolation culture inhibits the cross-departmental collaboration needed to develop a broad spectrum of leadership capabilities. While a wealth of scholarship is dedicated to the outcomes of leadership development programs in the business sector, there needs to be more insight into the impact a leadership development program can have at a community college. This study relied upon Kolb’s experiential learning theory to examine the development and distal outcomes of cross-departmental collaboration skills of the participants of a community college’s leadership development program. This theoretical framework was used to understand how participants of a leadership community college described the change in their leadership skills to improve cross-department work. A generic qualitative methodology was used for this study of 15 former community college leadership development program participants to understand how the program affected their cross-departmental collaboration skills before, during, and up to one year after the program. The qualitative coding of semi-structured interviews allowed the development of major themes embedded within the participants’ experiences. Key themes from this study include a significant increase in personal confidence, cross-departmental collaboration improvements to campus governance, and barriers to cross-departmental collaboration induced by the relationship between the community college and the leadership development program. Greater research into the relationship between the program and the organization is needed to understand further the cross-departmental collaboration potential of leadership development programs within community colleges
Military Readiness Implications of the United States Obesity Epidemic: A Systematic Review with Meta-Synthesis
No full textMilitary readiness relies upon the health of servicemembers and the ability to perform the duties of their position. Rates of overweight or obese body compositions have been found to be increasing in prevalence within the United States armed forces (Yang et al., 2021). To identify further gaps in knowledge, consolidate and synthesize information, and inform future study, a systematic review with meta-synthesis was performed under the lens of a socio-ecological framework. When searching EBSCO, PubMed, and Google Scholar, 194 results were analyzed within the PRISMA guide. Twenty articles met inclusion after review. After NVivo and manual theme identification from those marked for inclusion, information was synthesized based on the frequencies found in the collective group of articles. The results indicated 95% of the articles found rising rates of obesity in the United States armed forces were problematic for military readiness. The need to intervene was discussed in 85% of the articles found, while only 65% discussed the need to curve chronic disease related to obesity. As the Department of Defense has 1.33 million active duty and approximately 1 million more in a reserve status, policy changes are likely to have a sweeping impact (DOD Demographics, 2020). Further study is recommended to inform future policy decisions. These include researching efficacy of current standards for retention or recruitment, more analysis of reserve and guard forces, civilianizing some non-deploying active duty positions, and trending a greater number of years’ worth of data to assess temporal relationships
Organizational Readiness for Change and Behavioral Intention: A Quantitative Study
No full textAs technology changes constantly, so does the need for organizations to adapt by promptly and effectively implementing technological improvements to gain a competitive edge. Information systems in the information technology (IT) industry are continually seeing new innovations, and business leaders must be prepared to adopt these technological options to strengthen their organizations’ information system infrastructure. This dissertation study aims to define the variables that contribute to organizational readiness for change (ORC) to determine information system implementation decisions for companies in the IT industry using a quantitative methodology and an existing decision model as the theory. Behavioral intention is the construct that measures and helps ascertain whether employees are prepared for change. Based on the Paré model, this dissertation study theorized that 10 independent variables are positively related to ORC. Following completion of the survey-based process, the analysis process used partial least squares structural equation modeling (PLS-SEM). This study should benefit the IT industry, which struggles with change management activities within its departments and organizations
Shared Leadership In The Indiana Knights of Columbus: A Mixed Methods Study
No full textThe Indiana Knights of Columbus operate in small independent organizations called Councils to serve local communities through charitable acts. The charity work that the organization performs has transformed since the COVID-19 pandemic, which may have created an opportunity for shared leadership within the organization. This mixed methods sequential explanatory research was intended to explore the establishment and effect of shared leadership on performance and team engagement within the Indiana Knights of Columbus organization by combining quantitative and qualitative techniques. The quantitative methodology focused on exploring if shared leadership existed within the organization and determining if there is a relationship to performance. The qualitative methodology explored the effects of shared leadership on team engagement within the organization. The expectation was that shared leadership exists in the Indiana Knights of Columbus and that shared leadership positively affects performance and team engagement. The research began in April of 2023 and concluded in June of 2023. The research showed no statistical significance between shared leadership and performance except in the performance category of Life. Also, the data showed a positive relationship between shared leadership and team engagement
A Practical and Fast Numerical Method for Calculating Global Sensitivity with Examples from Supply Chain and Measurement Applications
No full textGlobal sensitivity analysis (GSA) is an essential tool for understanding, verifying, and improving mathematical models of stochastic systems. In GSA the influence of a model’s output uncertainty is apportioned among the model’s inputs and, the influence of each input is ranked with a sensitivity index. The Sobol sensitivity indices are cited frequently in the literature due to their effectiveness and sound theoretical basis. It is common practice to calculate the Sobol first-order and total effect indices (called the First_Total method). Following the design science methodology for information science, a new method, called First_CMD, is presented which provides a sensitivity ranking similar to the First_Total, but can be computed in orders of magnitude less time. A review of supply chain models shows that interest in uncertainty analysis is growing, especially for green (sustainable) supply chains. However, GSA is rarely mentioned in supply chain literature. It is shown how GSA, using First_Total or First_CMD can be applied to an existing model which determines sustainability metrics for international biodiesel supply chains. The computational time and rankings are compared for GSAs carried out using both First_Total and First_CMD for a complex model developed by Keysight Technologies. The model contains 176 stochastic inputs and simulates the uncertainty of measurements taken by an electronic system. It is shown that First_CMD yields similar information as First_Total, but the computation time of uncertainty and sensitivity analysis is reduced from approximately one year to one day due to fewer model evaluations