Queerituality : Reforming What it Means to be a Religious Queer

College settings often place students in a petri dish where they are able to reflect on their innermost identities, values, and how they come to know the world around them. Through intentional efforts, student affairs professionals can create spaces where students are able to explore identities that society often states as being mutually exclusive. There is a body of research to help student affairs practitioners support queer-identified students developmentally (e.g. Cass’ Identity Model, Fassinger’s Model of Gay and Lesbian Identity Development, and D’Augelli’s Model of Lesbian, Gay, and Bisexual Identity Development). The topic of spirituality as it relates to queer students has been under-researched (Buchanan, Dzelme, Harris, & Hecker, 2001; DuMontier, 2000; Love, Bock, Jannarone, & Richardson, 2005; Stevens, 2004). Recent research has emerged providing a model to understand the complexity of multiple dimensions of identity and to infuse meaning-making as a part of identity development (Abes & Jones, 2004; Abes, Jones, & McEwen, 2007; Jones & Abes, 2013; Jones & McEwen, 2000). As we move forward, something to be considered is the way queer students shape their identity in the context of heteronormativity. The present models work well, but fail to understand the student experience in a world where queer students subvert heteronormativity in order to more fully realize their own identity (Abes & Kasch, 2007; Jones & Abes, 2013). In this article the author examines the ways in which queer students reform their queer and religious identities, grounding the discussion in queer theory, and examining the role of queer authorship as a developmental understanding of “queerituality”

Affirmative Action Programs: Is the Sun Setting on Racial Preferences?

Affirmative Action programs originally were meant to create equal opportunities for historically marginalized students across institutions in the post-Civil Rights era (Backes, 2012; Kellough, 2006). Administrators in the United States grapple with the implementation of programs to increase the number of women and students of color into colleges and universities. The legality of these programs are under scrutiny; the Supreme Court heard two cases in 2013 involving affirmative action programs (Jaschik, 2013a). One involved the University of Texas when they denied Abigail Fisher admission in 2008. Another involved the state of Michigan barring state universities and colleges from considering issues such as race or ethnicity in admissions. This article takes a legal standpoint of the development of the Supreme Court’s stance on affirmative action and explores policy implications

Joint Tests for Long Memory and Non-linearity: The Case of Purchasing Power Parity

A pervasive finding of unit roots in macroeconomic data often runs counter to intuition regarding the stochastic nature of the process under consideration. Two econometric techniques have been utilized in an attempt to resolve the finding of unit roots, namely long memory and models that depart from linearity. While the use of long memory and stochastic regime switching models have developed almost independently of each other, it is now clear that the two modeling techniques can be intimately linked. In particular, both modeling techniques have been used in isolation to study the dynamics of the real exchange rate. To determine the importance of each technique in this context, I employ a testing and estimation procedure that allows one to jointly test for long memory and non-linearity (regime switching behavior) of the STAR variety. I find that there is substantial evidence of non-linear behavior for the real exchange rate for many developing and European countries, with little evidence for ESTAR non-linearity for countries outside the European continent including Japan and Canada. In cases where non-linearity is found, I also find significant evidence of long memory for the majority of the countries in my sample. Thus, long memory and non-linearity can also be viewed as compliments rather than substitutes. On the other hand, a combination of long memory and non-linearity may be a promising research avenue for pursuing an answer to the paradoxreal exchange rates, long memory, ESTAR non-linearity

Development and validation of computational models of cellular interaction

In this paper we take the view that computational models of biological systems should satisfy two conditions – they should be able to predict function at a systems biology level, and robust techniques of validation against biological models must be available. A modelling paradigm for developing a predictive computational model of cellular interaction is described, and methods of providing robust validation against biological models are explored, followed by a consideration of software issues

ANALYSIS OF FOOD STAMP PROGRAM PARTICIPATION AND FOOD EXPENDITURES

A two equation model is developed to examine jointly the determinants of household food stamp program participation and program effects on food expenditures. The model is unique in that it postulates that the participation decision is based on a cost-benefit ratio, selected socioeconomic characteristics, and the potential for increasing both food and nonfood expenditures. Data from the 1977-78 USDA Nationwide Food Consumption Survey Supplemental Low Income Sample is used to estimate the model. Findings suggest that households, in making the participation decision place equal value on the potential for increasing their food and nonfood expenditures. However, at the margin, bonus stamp income is found to have more than twice the impact of money income on food expenditures. The model's potential for policy analysis is also examined.Food Consumption/Nutrition/Food Safety,

Synopsis of current satellite snow mapping techniques, with emphasis on the application of near-infrared data

The Skylab EREP S192 Multispectral Scanner data have provided for the first time an opportunity to examine the reflectance characteristics of snowcover in several spectral bands extending from the visible into the near-infrared spectral region. The analysis of the S192 imagery and digital tape data indicates a sharp drop in reflectance of snow in the near-infrared, with snow becoming essentially nonreflective in Bands 11 (1.55-1.75 micron) and 12 (2.10-2.35 micron). Two potential applications to snow mapping of measurements in the near-infrared spectral region are possible: (1) the use of a near-infrared band in conjunction with a visible band to distinguish automatically between snow and water droplet clouds; and (2) the use of one or more near-infrared bands to detect areas of melting snow

Introducing spatial information into predictive NF-kappa B modelling - an agent-based approach

Nature is governed by local interactions among lower-level sub-units, whether at the cell, organ, organism, or colony level. Adaptive system behaviour emerges via these interactions, which integrate the activity of the sub-units. To understand the system level it is necessary to understand the underlying local interactions. Successful models of local interactions at different levels of biological organisation, including epithelial tissue and ant colonies, have demonstrated the benefits of such 'agent-based' modelling [1-4]. Here we present an agent-based approach to modelling a crucial biological system the intracellular NF-kappa B signalling pathway. The pathway is vital to immune response regulation, and is fundamental to basic survival in a range of species [5-7]. Alterations in pathway regulation underlie a variety of diseases, including atherosclerosis and arthritis. Our modelling of individual molecules, receptors and genes provides a more comprehensive outline of regulatory network mechanisms than previously possible with equation-based approaches [8]. The method also permits consideration of structural parameters in pathway regulation; here we predict that inhibition of NF-kappa B is directly affected by actin filaments of the cytoskeleton sequestering excess inhibitors, therefore regulating steady-state and feedback behaviour

Ultrafast Angle-Resolved Photoemission Spectroscopy of Quantum Materials

Techniques in time- and angle-resolved photoemission spectroscopy have facilitated a number of recent advances in the study of quantum materials. We review developments in this field related to the study of incoherent nonequilibrium electron dynamics, the analysis of interactions between electrons and collective excitations, the exploration of dressed-state physics, and the illumination of unoccupied band structure. Future prospects are also discussed.Comment: 7 pages, 6 figure