The Social Enterprise as an Alternative Work Option for Persons with Developmental Disabilities: A Case Study of Staff Perspectives at Common Ground Co-operative

Traditional employment options for persons with developmental disabilities are lacking. Employment options available for persons with developmental disabilities are reflective of the medical and social model perspectives of disability; with segregated and supported employment reinforcing the idea that persons with developmental disabilities are incapable and competitive employment missing the necessary accommodations for persons to be successful. This study examined social enterprises as an alternative employment option that can balance both medical and social model perspectives by accommodating for weaknesses or limitations and recognizing the strengths and capabilities of persons with developmental disabilities in the workplace. Moreover, this study is part of a broader case study which is examining the nature and impacts of a social enterprise, known as Common Ground Co-operative (CGC), which supports five social purpose businesses that are owned and operated by persons with developmental disabilities. This study is part of the Social Business and Marginalized Social Groups Community-University Research Alliance. To date, a case study has been written describing the nature and impacts of CGC and its related businesses from the perspectives of the Partners, board members, funders and staff (Owen, Readhead, Bishop, Hope & Campbell, in press & Readhead, 2012). The current study used a descriptive case study approach to provide a detailed account of the perceptions and opinions of CGC staff members who support each of the Partners in the five related businesses. Staff members were chosen for the focus of this study because of the integral role that they play in the successful outcomes of the persons they support. This study was conducted in two phases. In the first phase five staff members were interviewed. During this stage of interviews, several themes were presented which needed to be examined in further detail, specifically staff stress and burnout and duty of care for business Partners versus the promotion of their autonomy. A second phase of interviews was then conducted with one individual participant and a focus group of seven. During both interview phases, Staff participants described an employment model that creates a non-judgemental environment for the business Partners that promotes their strengths, accommodates for their limitations, provides educational opportunities and places the responsibility for the businesses on the persons with developmental disabilities cultivating equality and promoting independence. Staff described the nature of their role including risk factors for stress, the protective factors that buffer stress, and the challenges associated with balancing many role demands. Issues related to the replication of this social enterprise model are described.

Modeling Metal Protein Complexes from Experimental Extended X-ray Absorption Fine Structure using Computational Intelligence

Experimental Extended X-ray Absorption Fine Structure (EXAFS) spectra carry information about the chemical structure of metal protein complexes. However, pre- dicting the structure of such complexes from EXAFS spectra is not a simple task. Currently methods such as Monte Carlo optimization or simulated annealing are used in structure refinement of EXAFS. These methods have proven somewhat successful in structure refinement but have not been successful in finding the global minima. Multiple population based algorithms, including a genetic algorithm, a restarting ge- netic algorithm, differential evolution, and particle swarm optimization, are studied for their effectiveness in structure refinement of EXAFS. The oxygen-evolving com- plex in S1 is used as a benchmark for comparing the algorithms. These algorithms were successful in finding new atomic structures that produced improved calculated EXAFS spectra over atomic structures previously found.

Modeling short-range ballistic missile defense and Israel's Iron Dome system

This paper develops a model of short-range ballistic missile defense and uses it to study the performance of Israel’s Iron Dome system. The deterministic base model allows for inaccurate missiles, unsuccessful interceptions, and civil defense. Model enhancements consider the trade-offs in attacking the interception system, the difficulties faced by militants in assembling large salvos, and the effects of imperfect missile classification by the defender. A stochastic model is also developed. Analysis shows that system performance can be highly sensitive to the missile salvo size, and that systems with higher interception rates are more “fragile” when overloaded. The model is calibrated using publically available data about Iron Dome’s use during Operation Pillar of Defense in November 2012. If the systems performed as claimed, they saved Israel an estimated 1778 casualties and $80 million in property damage, and thereby made preemptive strikes on Gaza about 8 times less valuable to Israel. Gaza militants could have inflicted far more damage by grouping their rockets into large salvos, but this may have been difficult given Israel’s suppression efforts. Counter-battery fire by the militants is unlikely to be worthwhile unless they can obtain much more accurate missiles.