The Associated Colleges of the South: A Case Study Chronicling Program Development at the Consortium and the Significance of Consortium Membership Through the Experiences of Presidents of Member Institutions

The Associated Colleges of the South is a consortium of liberal arts colleges founded in 1991. The consortium serves as a third-party agency to further the collective interests of the member institutions. Since its founding in 1991 and original membership of nine institutions, the consortium has grown to 16 member institutions. This research reviews literature relevant to the history and organization of voluntary consortia in the United States, the history of liberal arts colleges and the challenges that are faced by these institutions, and recent technology and how it affects higher education. In addition, the history of the consortia and the development of the collaborative programs is described, as are the thoughts and views of presidents of the thirteen member institutions regarding their institution\u27s membership in the consortium

The Influences of Sea-Surface Temperature Uncertainty on Cool-Season High-Shear, Low Cape Severe Weather Event Predictability in the Southeast United States

Environments conducive to severe weather and tornadoes occur throughout the southeastern United States, particularly during the cold-season. Throughout the cold-season, severe weather in this region predominantly occurs in environments characterized by high-shear, low-CAPE (HSLC). An important aspect to the production of severe weather in HSLC environments in the southeast United States is that air parcels that help contribute to the limited positive-buoyancy generation originate over areas such as the Gulf of Mexico, western Caribbean Sea, and western Atlantic Ocean. These relatively warm bodies of water, particularly outside of the cooler coastal shelf regions, allow the air parcels to warm and moisten via latent heat and surface sensible fluxes. It is hypothesized that the forecasts of cold-season severe weather in the southeastern United States are sensitive to the treatment of the underlying ocean surface, which influences the simulated representation of the surface heat exchange between the air and sea. We aimed to address and quantify these sensitivities by conducting numerical simulations for eight identified cold-season southeastern United States severe weather cases initialized using several different sea-surface temperature (SST) analyses. An ensemble of forecasts using varying atmospheric and SST analyses is also conducted for the case with the largest variability in forecast skill between SST initializations to quantify the contributions of initial atmospheric and SST uncertainty to subsequent forecast uncertainty. Neighborhood-based forecast verification techniques based off updraft helicity swaths are used to quantify these uncertainties

Biomarker discovery and statistical modeling with applications in childhood epilepsy and Angelman syndrome

Biomarker discovery and statistical modeling reveals the brain activity that supports brain function and dysfunction. Detecting abnormal brain activity is critical for developing biomarkers of disease, elucidating disease mechanisms and evolution, and ultimately improving disease course. In my thesis, we develop statistical methodology to characterize neural activity in disease from noisy electrophysiological recordings. First, we develop a modification of a classic statistical modeling approach - multivariate Granger causality - to infer coordinated activity between brain regions. Assuming the signaling dependencies vary smoothly, we propose to write the history terms in autoregressive models of the signals using a lower dimensional spline basis. This procedure requires fewer parameters than the standard approach, thus increasing the statistical power. we show that this procedure accurately estimates brain dynamics in simulations and examples of physiological recordings from a patient with pharmacoresistant epilepsy. This work provides a statistical framework to understand alternations in coordinated brain activity in disease. Second, we demonstrate that sleep spindles, thalamically-driven neural rhythms (9-15 Hz) associated with sleep-dependent learning, are a reliable biomarker for Rolandic epilepsy. Rolandic epilepsy is the most common form of childhood epilepsy and characterized by nocturnal focal epileptic discharges as well as neurocognitive deficits. We show that sleep spindle rate is reduced regionally across cortex and correlated with poor cognitive performance in epilepsy. These results provide evidence for a regional disruption to the thalamocortical circuit in Rolandic epilepsy, and a potential mechanistic explanation for the cognitive deficits observed. Finally, we develop a procedure to utilize delta rhythms (2-4 Hz), a sensitive biomarker for Angelman syndrome, as a non-invasive measure of treatment efficacy in clinical trials. Angelman syndrome is a rare neurodevelopmental disorder caused by reduced expression of the UBE3A protein. Many disease-modifying treatments are being developed to reinstate UBE3A expression. To aid in clinical trials, we propose a procedure that detects therapeutic improvements in delta power outside of the natural variability over age by developing a longitudinal natural history model of delta power. These results demonstrate the utility of biomarker discovery and statistical modeling for elucidating disease course and mechanisms with the long-term goal of improving patient outcomes

Analyzing the symmetrical arrangement of structural repeats in proteins with CE-Symm

Many proteins fold into highly regular and repetitive three dimensional structures. The analysis of structural patterns and repeated elements is fundamental to understand protein function and evolution. We present recent improvements to the CE-Symm tool for systematically detecting and analyzing the internal symmetry and structural repeats in proteins. In addition to the accurate detection of internal symmetry, the tool is now capable of i) reporting the type of symmetry, ii) identifying the smallest repeating unit, iii) describing the arrangement of repeats with transformation operations and symmetry axes, and iv) comparing the similarity of all the internal repeats at the residue level. CE-Symm 2.0 helps the user investigate proteins with a robust and intuitive sequence-to-structure analysis, with many applications in protein classification, functional annotation and evolutionary studies. We describe the algorithmic extensions of the method and demonstrate its applications to the study of interesting cases of protein evolution

Picosecond IVR dynamics of p-difluorobenzene and p-fluorotoluene in a molecular beam: Comparison with chemical timing data

We present in this Communication preliminary time-resolved fluorescence measurements of supersonaically cooled samples of pDFB and pFT. These measurements indicate that IVR in both cold molecules up to ~1600 cm^-1 of excess vibrational energy is substantially less than that reported for the same vibrational excitations in room temperature chemical timing studies

The Future of Leisure Studies in Research Universities: Administrators\u27 Perspectives

This article summarizes the content of a three-day administrative summit held at Zion Ponderosa Resort in southern Utah in late September 2010. Department chairs, heads, and deans representing 13 universities across North America offering leisure studies doctoral degrees, master\u27s degrees, and undergraduate professional preparation degrees gathered to entertain eight multifaceted questions pertaining to their future. The questions were generated by a Delphi Process, and responses to the questions were recorded and analyzed following the summit by a team of doctoral students and professors from the University of Utah. The article concludes with a brief discussion of an administrator\u27s responsibility in leading leisure studies departments in times of fiscal austerity, and recommending a to-do list to ensure the future of leisure studies in public research universities

Real World: Empowering Representations of Women through Film

This article makes an argument for the added value of the use of documentary film in development research communication. It draws broadly on the specific experience of the Real World film scheme developed by the Pathways of Women's Empowerment Research Programme Consortium and Creative England, to create empowering representations of women. It argues that both researchers and film?makers have much to gain by collaborating on the political project of co?crafting a visual argument, to create a nuanced and emotive end product