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A study of burnout in certified public accountants in the southeast region of the United States
Get PDFThe purpose of this study was to determine if there are relationships between years of employment, age, size of organization, work environment, salary level, engagement, gender, and burnout levels in certified public accountants in the southeast United States. Two survey instruments were used to administer the questions to participants including Maslach’s Burnout Inventory- General Study (MBI – GS) and Moos’ Work Environment Scale (WES). The MBI – GS measures respondents’ relationships with their work on a scale from engagement to burnout and the WES measures the stressful effects of the work environment on personal functioning and family social resources. The collected data were analyzed using correlation and regression. The ordinary least squares regression analysis resulted in the independent variables of gender and dissatisfaction with the work environment being positively related to the dependent variable, burnout. This indicates that as these variables effect increase, the dependent variable of burnout will also increase. The independent variables of age and satisfaction with the work environment being negatively related to the dependent variable, burnout. This indicates that as age and satisfaction within the work environment increase the dependent variable of burnout decreases
The relationship between temperature, rainfall, and tree swallow fledging times
Get PDFWeather effects such as temperature and precipitation are known to affect reproductive success of many avian species. Weather variables can directly or indirectly influence the fledging success of nestlings. I investigated the effect of minimum temperature, maximum temperature, average temperature, maximum rainfall experienced in one day during a fledging period, and average daily rainfall on how long it takes tree swallow nestlings in Tennessee to fledge using multi-linear regression and linear mixed-effects modeling. I found that minimum temperatures, maximum temperatures, maximum rain experienced in a one-day period, and total rain all had a significant relationship on the time it takes for tree swallow chicks to fledge (p\u3c0.05). The best model includes these weather variables and can account for about 20-21% of the variation seen in the time it takes tree swallow chicks to fledge
Kokkos-enhanced ExaMPI
Get PDFKokkos provides in-memory advanced data structures, concurrency, and algorithm to support advanced C++ parallel programming. MPI provides the most widely used message passing model for inter-node communication. Many programmers use both Kokkos and the Message Passing Interface (MPI) together. In this thesis, Kokkos is integrated within an MPI implementation to obtain performance and functionality benefits both for the MPI itself, and for applications that use both Kokkos+MPI. For instance, it will be possible in this model to pass first-class Kokkos objects directly to extended C++-based MPI APIs. In particular, efforts to achieve this type of integrated model is expressed using ExaMPI, a C++17-based subset implementation of MPI-4 developed at UTC with collaborators. Working with C++-friendly APIs, and Kokkos extensions, examples of the benefits of functionality and performance are shown. We explain why direct use of Kokkos within the certain parts of the MPI implementation are crucial to getting added performance in addition to expressivity. We also motivate why making Kokkos memory spaces visible to the MPI implementation generalizes the idea of “CPU memory” and “GPU memory” in ways that provide for further optimizations in heterogeneous Exascale architectures. Besides showing the current state of the prototype, we describe future goals, and show how these mesh both with a possible future C++ API for MPI-5 as well as the potential for accelerating MPI on architectures that incorporate accelerators
Identifying personal energy and recovery patterns and their impact on well-being
Get PDFThe study was designed to examine patterns of personal energy expenditure and recovery, and how these patterns are associated with health and well-being. Data were collected via longitudinal, mixed method survey of a diverse sample of 121 working student and non-student adults. Measures included multiple existing tools, including: the Utrecht Work Engagement scale (UWES), Profile of Mood States (POMS), Recovery Experience Questionnaire (REQ), and items pulled from the National Institute of Occupational Safety and Health (NIOSH) Worker Well-Being Questionnaire (WellBQ). A variety of analyses were used including repeated measures ANOVA and one-way ANOVA. Results included the identification of “in-sync” and “out-of-sync” patterns of energy levels and quality of recovery. Moreover, there was little difference in impact on health, well-being, and other work-related outcomes between in-sync and out-of-sync individuals. Interestingly, a within subject difference in evening stress was identified within in-sync and out-of-sync individuals
Fatigue life prediction of critical metallic components based on strain energy density
Get PDFThe realistic loading condition in most of the mechanical applications is cyclic where fatigue failure is the most possible failure mode. Fatigue failure can occur under the stress levels well below the static strength of the material. Total fatigue toughness is a new energy-based approach for fatigue modeling that has shown promising correlation with fatigue life of engineering metals, shape memory alloys and polymeric materials. In total fatigue toughness method, fatigue damage parameter is defined as the sum of dissipated strain energy density (Wd), which is calculated as the area encompassed by the loading and unloading paths in a stress-strain graph, and tensile elastic strain energy density (W_e^+), which is defined as the maximum linear-elastic strain energy density that is stored in the material per each cycle. In this study, we have investigated applicability of the total fatigue toughness method on fatigue life prediction of popular engineering metals, i.e. steel, aluminum and titanium. To this end, strain-controlled fatigue tests with different strain ratios and maximum strains were conducted on specimens designed according to ASTM standards. For each of the experiments the total fatigue toughness damage parameter was calculated and the correlation with experimentally observed fatigue lives were evaluated. The results showed that the total fatigue toughness damage parameter can closely correlate the experimental fatigue data obtained for three types of materials under different mean strain conditions
Fifteen and almost famous: the realities and misperceptions of sexual violence in the music industry
Get PDFPrior research has explored the sexualization and objectification of women across media platforms, but very little attention has been devoted to examining the depiction of minors as sexual objects in the music industry. Given the illegality of forced sexual acts and consensual adult-juvenile sexual relationships, as well as the harmful effects, the current study utilizes a content analysis to identify popular musicians from various genres who have committed acts of sexual violence spanning from 1957-2021. Thus, this study examines incidents of sexual violence, specifically statutory rape, committed by musicians, their use of their celebrity to engage in such behaviors, and the relationship these acts of violence have with the artists’ music. While scholars have drawn attention to the ability of media platforms, including music and social media, to reinforce as well as shape existing cultural attitudes and beliefs, this is an area that warrants further systematic research as the link between the art and the artist has not been thoroughly investigated. Findings as well as implications regarding the cultivation effects of musicians who commit acts of sexual violence will be discussed
A recipe for balance or conflict: factors related to work-nonwork dynamics among chefs
Get PDFThe availability of quality information is critical to making informed career decisions. Presently, there is a void of information regarding the level of job demands that impact work-nonwork balance and conflict in various occupations. This study examined the relationship between work-nonwork conflict (WNC) and work-nonwork balance (WNB) and various occupational factors and personal factors among chefs and head cooks and found that occupational demands generally had stronger relationships to outcomes of WNC and WNB than personal factors. The findings outlined from this research suggest that occupational demand information, as it relates to work-nonwork dynamics, is largely generalizable to most individuals regardless of their personal factors. This implies that framing occupational demands relative to WNC and WNB likelihoods and providing that information publicly through an information source such as O*NET could be effective in aiding career-related decisions for prospective job incumbents
Evaluation of Three Pour Training Procedures for Beer, Wine, and Liquor
Get PDFThe purpose of this study was to determine if stimulus fading, verbal feedback, and superimposition training would improve college students’ acquisition, maintenance, and generalization of accurate pours of beer, wine, and liquor. Twenty participants were assigned to stimulus fading (n = 5), verbal feedback (n = 5), superimposition training (n = 5), or a repeated-pouring condition (n = 5). Pour accuracy served as the primary dependent measure and was defined as pouring within 10% of a standard serving of each alcohol type. Pour accuracy was assessed before training, immediately after training, and 1 week and 30 days following training using single-subject designs. Data was then analyzed at the group level to detect patterns across participants. Results show participants poured each alcohol type accurately after one or two rounds of training, but evidence of maintenance and generalization were infrequently observed. Implications for future assessments, training, and alcohol education programs are discussed
Effects of Big Five Personality Traits on Self-Perceived Anxiety Before and During the COVID-19 Pandemic
Get PDFPrevious researchers have demonstrated correlations between openness, conscientiousness, and neuroticism with one’s perceived anxiety levels. People who tend to be highly neurotic indicate greater levels of anxiety, while those who are open and conscientious tend to portray the opposite. The Big Five Personality Traits were examined in the predictive effects they had on the self-perception of anxiety prior to and during the onset of the COVID-19 pandemic. Students attending Union College were asked to report their anxiety levels from the academic year prior to COVID-19 and the year during COVID, as well as the Ten-Item Personality Inventory. Participants high in neuroticism reported having higher levels of pre-COVID anxiety, while participants high in openness reported having lower levels of pre-COVID anxiety. Furthermore, participants who were highly neurotic demonstrated greater levels of anxiety during COVID as well. Results from this study outlined an association between those who were highly neurotic and high levels of anxiety felt during the pandemic. Such findings can be implemented to develop preventive measures and treatments
Experimental and ANSYS investigation on the aerogel envelopes for energy-efficient building
Get PDFEnergy consumption, specifically in the building sector is always increasing. One potential way to reduce energy consumption, is to reduce the heat loss in buildings or homes. Silica aerogels have grown in popularity as an insulating material due to their extremely low thermal conductivity. Very often the benefits of transparency as well as strength is ignored due to its brittleness. An effort has been taken to increase the strength using vacuum seal while maintaining their transparency. To understand the benefits of using silica aerogels as a replacement for glass window or wall in buildings, experimental validation was carried out in terms of transparency and strength. Thermal performances were visualized using mathematical model. The heat simulations were performed on the sealed and unsealed aerogel using the Multiphysics software ANSYS Workbench 2023 R2. The simulations helped predict the actual saving benefits of using aerogels as an insulator. Overall, the use of aerogels in the building sector has great potential for energy savings and can be a significant contribution to sustainable building design