THE RELATIONSHIP BETWEEN ORGANIZATIONAL CULTURE AND WORKING PARENT BURNOUT

The purpose of this non-experimental quantitative study was to explore working parent burnout (WPB) and the relationships between organizational culture and WPB. Data were collected from working parents living with children \u3c18 years in the United States (N=284) and analyzed using descriptive and statistical techniques to answer the research questions. The study had excellent internal reliability and yielded several key findings. The perceptions of study participants’ WPB was statistically significant. Gender, ethnicity, work schedule, work shift, income level, and marital status had statistically significant effects on WPB. Organizational culture types reflected statistically significant response effects for perceptions of WPB, with two reflecting very large response effects (clan and hierarchy) and two reflecting large response effects (adhocracy market). The results suggest that WPB was significant upon sample population and varied by different demographic variables. In addition, WPB appears to be significantly related to organizational culture; however, WPB cannot be predicted by organizational culture type. This study is the first known research to look at the relationship between WPB and organizational culture. While the study yielded several results, further research is needed to look at WPB and organizational cultural factors that may impact burnout among working parents

Broad-Bandwidth FPGA-Based Digital Polyphase Spectrometer

With present concern for ecological sustainability ever increasing, it is desirable to model the composition of Earth s upper atmosphere accurately with regards to certain helpful and harmful chemicals, such as greenhouse gases and ozone. The microwave limb sounder (MLS) is an instrument designed to map the global day-to-day concentrations of key atmospheric constituents continuously. One important component in MLS is the spectrometer, which processes the raw data provided by the receivers into frequency-domain information that cannot only be transmitted more efficiently, but also processed directly once received. The present-generation spectrometer is fully analog. The goal is to include a fully digital spectrometer in the next-generation sensor. In a digital spectrometer, incoming analog data must be converted into a digital format, processed through a Fourier transform, and finally accumulated to reduce the impact of input noise. While the final design will be placed on an application specific integrated circuit (ASIC), the building of these chips is prohibitively expensive. To that end, this design was constructed on a field-programmable gate array (FPGA). A family of state-of-the-art digital Fourier transform spectrometers has been developed, with a combination of high bandwidth and fine resolution. Analog signals consisting of radiation emitted by constituents in planetary atmospheres or galactic sources are downconverted and subsequently digitized by a pair of interleaved analog-to-digital converters (ADCs). This 6-Gsps (gigasample per second) digital representation of the analog signal is then processed through an FPGA-based streaming fast Fourier transform (FFT). Digital spectrometers have many advantages over previously used analog spectrometers, especially in terms of accuracy and resolution, both of which are particularly important for the type of scientific questions to be addressed with next-generation radiometers

Engineering Microbial Consortia for Bioconversion of Multisubstrate Biomass Streams to Biofuels

Production of biofuels from nonfood biomass has emerged as a sustainable option to address the problems associated with growing enery demand for transportation, heating, and industrial processes, in the context of diminishing petroleum reserves and global climate change. Biomass resources such as lignocellulose-rich biomass and microalgae, despite being abundant pose several challenges for efficient bioconversion to biofuels. Major challenges that must be addressed are the chemical complexity of the biomass and the associated feedstock variability. In this chapter, the role of microbial consortium-based biocatalysis strategies that are being developed to address these issues are reviewed and discussed. Microbial coculture biocatalysts are systems that are engineered to specialize in the conversion of a general class of substrates present in the biomass hydrolysates into biofuel intermediates, providing the capability of adapting to the variable composition of the feedstock. The techniques being developed to understand the interactions between the members of the bioconversion consortia and the corresponding population dynamics of the engineered cocultures are also discussed

Student Loan Defaults and Enrollment Persistence

This article provides an estimate of a model of student loan defaults using a rich panel data file. The file was constructed by merging administrative data on student loans, higher education enrollment and performance, and ACT test data for a large cohort of first time, full-time, degree-seeking students who entered Missouri two- and four-year public higher education institutions in the Fall 1992 semester. These loan recipients were tracked forward to December 1999 to determine which ones defaulted on their loans. The authors identify a variety of individual characteristics associated with loan defaults, however, the variable with the largest effect on the default odds ratio is continuous enrollment Within windows ranging from four to eight semesters, students who are continuously enrolled or who complete their program are far less likely to default than are students who drop out during the same period. The authors also assess the predictive power of their statistical model out of sample” on a subsample of student borrowers and illustrate the potential use of the model in targeting default prevention resources to students most at risk of default

Glenda Secrest, Jon Secrest, Susan Monroe, and Ryan Lewis in a Faculty Recital

This is the program for the faculty recital featuring soprano Glenda Secrest, tenor Jon Secrest, pianist Susan Monroe, and vibraphone player Ryan Lewis. This recital took place on August 30, 2010, in the W. Francis McBeth Recital Hall

Gigahertz Bandwidth and Nanosecond Timescales: New Frontiers in Radio Astronomy Through Peak Performance Signal Processing

Abstract In the past decade, there has been a revolution in radio-astronomy signal processing. High bandwidth receivers coupled with fast ADCs have enabled the collection of tremendous instantaneous bandwidth, but streaming computational resources are struggling to catch up and serve these new capabilities. As a consequence, there is a need for novel signal processing algorithms capable of maximizing these resources. This thesis responds to the demand by presenting FPGA implementations of a Polyphase Filter Bank which are an order of magnitude more efficient than previous algorithms while exhibiting similar noise performance. These algorithms are showcased together alongside a broadband RF front-end in Starburst: a 5 GHz instantaneous bandwidth two-element interferometer, the first broadband digital sideband separating astronomical interferometer.  Starburst technology has been applied to three instruments to date. Abstract Wielding tremendous computational power and precisely calibrated hardware, low frequency radio telescope arrays have potential greatly exceeding their current applications.  This thesis presents new modes for low frequency radio-telescopes, dramatically extending their original capabilities.  A microsecond-scale time/frequency mode empowered the Owens Valley Long Wavelength Array to inspect not just the radio sky by enabling the testing of novel imaging techniques and detecting overhead beacon satellites, but also the terrestrial neighborhood, allowing for the characterization and mitigation of nearby sources of radio frequency interference (RFI).  This characterization led to insights prompting a nanosecond-scale observing mode to be developed, opening new avenues in high energy astrophysics, specifically related to the radio frequency detection of ultra-high energy cosmic rays and neutrinos. Abstract Measurement of the flux spectrum, composition, and origin of the highest energy cosmic ray events is a lofty goal in high energy astrophysics. One of the most powerful new windows has been the detection of associated extensive air showers at radio frequencies. However, all current ground-based systems must trigger off an expensive and insensitive external source such as particle detectors - making detection of the rare, high energy events uneconomical.  Attempts to make a direct detection in radio-only data have been unsuccessful despite numerous efforts. The problem is even more severe in the case of radio detection of ultra-high energy neutrino events, which cannot rely on in-situ particle detectors as a triggering mechanism. This thesis combines the aforementioned nanosecond-scale observing mode with real-time, on-FPGA RFI mitigation and sophisticated offline post-processing.  The resulting system has produced the first successful ground based detection of cosmic rays using only radio instruments. Design and measurements of cosmic ray detections are discussed, as well as recommendations for future cosmic ray experiments.  The presented future designs allow for another order of magnitude improvement in both sensitivity and output data-rate, paving the way for the economical ground-based detection of the highest energy neutrinos.</p

Faculty Showcase Recital

This is the program for the faculty showcase recital featuring the following faculty artists (in order of performance): djembe player Ryan Lewis; soprano Robin Williams accompanied by pianist Susan Monroe; soprano Margaret Garrett and tenor Stephen Garner accompanied by Susan Monroe; mezzo-soprano Suzetta Glenn accompanied by pianist Kristen La Madrid; tenor Jon Secrest accompanied by Susan Monroe; sopranos Margaret Garrett and Glenda Secrest accompanied by Susan Monroe; and pianist Eneida Larti. This recital took place on September 17, 2010, in the W. Francis McBeth Recital Hall

The Relationship between Workaholism Tendencies and Stage of Development in a K-12 Teacher Population

Workaholism has been defined as a compulsive devotion to work that significantly impairs other areas of an individual’s life (Selinger, 2007). Since this disorder was first conceptualized by Oates (1971), few articles have been published on the nature of workaholism tendencies for workers employed in specific occupations. A Mississippi sample was utilized for this study, for the purpose of exploring workaholism tendencies in a kindergarten through 12th grade (K-12) teacher population. Results indicate that elementary school teachers in particular may exhibit workaholism tendencies. Additionally, beginning teachers, those with more than 10 years of teaching experience, and those who teach in struggling school districts, may be the most likely to struggle with work addiction. We recommend future research be conducted on interventions that can be used within the school system itself to help work-addicted teachers develop a greater work-life balance

Circulating Water Pump Resonance

Case Stud

An Overview of the Layered and Extensible Aircraft Performance System (LEAPS) Development

The Layered and Extensible Aircraft Performance System (LEAPS) is a new sizing and synthesis tool being developed within the Aeronautics Systems Analysis Branch (ASAB) at NASA Langley Research Center. It is a modular, multidisciplinary, multi- fidelity sizing and synthesis tool for modeling advanced aircraft concepts and architectures such as electric/hybrid-electric propulsion, unconventional propulsion airframe integration, and non-traditional mission trajectories. The development of LEAPS is motivated by the lack of existing tools that meet the needs of ASAB. The Flight Optimization System (FLOPS) has been the primary sizing and synthesis tool of ASAB for three decades. However, FLOPS has a number of limitations that make it dicult to use for unconventional aircraft designs. Three high-level goals have been adopted to guide the LEAPS development pro- cess. LEAPS is being developed in Python with an architecture built to enable a exible and extensible analysis capability using the concept of an aircraft object that combines data and analysis models. Five challenge problems for LEAPS have been identi ed to measure progress: analysis of a conventional tube-and-wing aircraft using legacy methods, coupled aeroelastic analysis for weight estimation of a conventional tube-and-wing aircraft, analysis of an advanced hybrid-electric concept, analysis of the X-57 Maxwell distributed electric propulsion aircraft, and optimization of the trajectory of a supersonic vehicle to minimize sonic boom. LEAPS will be a publicly available capability of exceptional quality with modularity and extensibility that makes it a robust tool for design and analysis of current and future unconventional aircraft concepts