The development and application of the Explanatory Model of School Dysfunctions

This article develops the Explanatory Model of School Dysfunctions based on 80 essays of school principals and their representatives in Gauteng. It reveals the degree and kinds of school dysfunctions, as well as their interconnectedness with actors, networks, and domains. The model provides a basis for theory-based analyses of specific dysfunctions, and for context and culture-sensitive interventions. The main dysfunctions relate to rules (dysfunctional rules, rule bending, and rule breaking), competences (management, finances, and conflict resolution), and roles (role confusion and conflict, abuse of power). The model was developed to invite researchers to explore these and other dysfunctions in relation to their antecedents, motivations, and consequences, as well as to formulate evidence-based interventions and policies

Using academic and learning analytics to explore student success in an online graduate program in communication

Fueled by the increase in data associated with the use of learning management systems, scholars and practitioners alike have been trying to explain and predict student success; yet the use of data analytic methods (academic and learning analytics) in higher education has created challenges and shortcomings for those who wish to adopt learning and academic analytics practices for their institution or program. Very little is known about either online education, particularly in the field of communication, as well as in online graduate and professional degree programs in any field from a learning and academic analytics perspective. This work reviews the literature on academic and learning analytics and related approaches, outlines the challenges regarding these approaches, articulates a working model of factors contributing to student success, outlines a methodology for analysis of data from a learning management system, application data, and final course grades. Last, this work reports and discusses the results of the analysis

Perturbation Theory for Singular Potentials in Quantum Mechanics

We study perturbation theory in certain quantum mechanics problems in which the perturbing potential diverges at some points, even though the energy eigenvalues are smooth functions of the coefficient of the potential. We discuss some of the unusual techniques which are required to obtain perturbative expansions of the energies in such cases. These include a point-splitting prescription for expansions around the Dirichlet (fermionic) limit of the $\delta$-function potential, and performing a similarity transformation to a non-Hermitian potential in the Calogero-Sutherland model. As an application of the first technique, we study the ground state of the $\delta$-function Bose gas near the fermionic limit.Comment: LaTeX, 19 pages, no figure

The Nordic Market: Signs of Stress?

The supply shock that hit the Nordic electricity market in 2002-2003 put the market to a severe test. A sharp reduction in inflow to hydro reservoirs during the normally wet months of late autumn pushed electricity prices to unprecedented levels. We take this event as the starting point for analysing some potential weaknesses of the Nordic market. We conclude that fears regarding supply security and adequacy are likely to be unfounded. Nevertheless, as inherited over-capacity is eroded, and new market-based environmental regulation takes effect, tighter market conditions are to be expected. It is then crucial that retail markets are fully developed so as to allow consumers to adequately protect themselves from occurrences of price spikes.

Structure of human transthyretin complexed with bromophenols: a new mode of binding

The binding of two organohalogen substances, pentabromophenol (PBP) and 2,4,6-tribromophenol (TBP), to human transthyretin (TTR), a thyroid hormone transport protein, has been studied by in vitro competitive binding assays and by X-ray crystallography. Both compounds bind to TTR with high affinity, in competition with the natural ligand thyroxine (

Instanton operators in five-dimensional gauge theories

This article is distributed under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits any use, distribution and reproduction in any medium, provided the original author(s) and source are creditedN.L. is supported in part by STFC grant ST/J002798/1. C.P. is a Royal Society Research Fellow.N.L. is supported in part by STFC grant ST/J002798/1. C.P. is a Royal Society Research Fellow.N.L. is supported in part by STFC grant ST/J002798/1. OPen Aceess funded by SCOAP

Nonlocal Charges for Bonus Yangian Symmetries of Super-Yang-Mills

The existence of a "bonus" U(1) level-one Yangian symmetry of N=4 super-Yang-Mills has recently been proposed. We provide evidence for this proposal by constructing the BRST-invariant nonlocal charge in the pure spinor sigma model corresponding to this bonus level-one symmetry. We also construct analogous charges for bonus U(1) symmetries at all odd levels of the Yangian.Comment: LaTeX 16p

Inverse association between diabetes and altitude: a cross-sectional study in the adult population of the United States.

ObjectiveTo determine whether geographical elevation is inversely associated with diabetes, while adjusting for multiple risk factors.MethodsThis is a cross-sectional analysis of publicly available online data from the Behavioral Risk Factor Surveillance System, 2009. Final dataset included 285,196 US adult subjects. Odds ratios were obtained from multilevel mixed-effects logistic regression analysis.ResultsAmong US adults (≥20 years old), the odds ratio for diabetes was 1.00 between 0 and 499 m of altitude (reference), 0.95 (95% confidence interval, 0.90-1.01) between 500 and 1,499 m, and 0.88 (0.81-0.96) between 1,500 and 3,500 m, adjusting for age, sex, body mass index, ethnicity, self-reported fruit and vegetable consumption, self-reported physical activity, current smoking status, level of education, income, health status, employment status, and county-level information on migration rate, urbanization, and latitude. The inverse association between altitude and diabetes in the US was found among men [0.84 (0.76-0.94)], but not women [1.09 (0.97-1.22)].ConclusionsAmong US adults, living at high altitude (1,500-3,500 m) is associated with lower odds of having diabetes than living between 0 and 499 m, while adjusting for multiple risk factors. Our findings suggest that geographical elevation may be an important factor linked to diabetes