Temporary in Tennessee: CATS for Stable Jobs

[Excerpt] Morristown is a mid-sized town in the mountains of upper east Tennessee. Like the rest of Tennessee, Morristown has a low rate of unionization and has seen minimal organizing on workplace and fair labor issues. At the same time, Tennessee has been hard hit by plant closings and layoffs and has seen higher paying industrial jobs replaced by lower paying, part-time and service jobs and temporary and contract-labor jobs. The security of the workforce is declining dramatically. From this setting, a citizens group called Citizens Against Temporary Services, or CATS, organized last year in search of a better deal for workers in Tennessee. In little more than a year, CATS has made remarkable strides. This is the CATS story

A design and implementation methodology for diagnostic systems

A methodology for design and implementation of diagnostic systems is presented. Also discussed are the advantages of embedding a diagnostic system in a host system environment. The methodology utilizes an architecture for diagnostic system development that is hierarchical and makes use of object-oriented representation techniques. Additionally, qualitative models are used to describe the host system components and their behavior. The methodology architecture includes a diagnostic engine that utilizes a combination of heuristic knowledge to control the sequence of diagnostic reasoning. The methodology provides an integrated approach to development of diagnostic system requirements that is more rigorous than standard systems engineering techniques. The advantages of using this methodology during various life cycle phases of the host systems (e.g., National Aerospace Plane (NASP)) include: the capability to analyze diagnostic instrumentation requirements during the host system design phase, a ready software architecture for implementation of diagnostics in the host system, and the opportunity to analyze instrumentation for failure coverage in safety critical host system operations

Diagnosis: Reasoning from first principles and experiential knowledge

Completeness, efficiency and autonomy are requirements for suture diagnostic reasoning systems. Methods for automating diagnostic reasoning systems include diagnosis from first principles (i.e., reasoning from a thorough description of structure and behavior) and diagnosis from experiential knowledge (i.e., reasoning from a set of examples obtained from experts). However, implementation of either as a single reasoning method fails to meet these requirements. The approach of combining reasoning from first principles and reasoning from experiential knowledge does address the requirements discussed above and can possibly ease some of the difficulties associated with knowledge acquisition by allowing developers to systematically enumerate a portion of the knowledge necessary to build the diagnosis program. The ability to enumerate knowledge systematically facilitates defining the program's scope, completeness, and competence and assists in bounding, controlling, and guiding the knowledge acquisition process

Affective poetics & Public access: the critical challenges of environmental art.

While this paper recognises that the dominant discourses of contemporary art remain anthropocentric, it identifies environmental art as a relatively recent movement in a shift towards a nascent cultural recognition of shared human and nonhuman global ecologies. Using the heuristic contrast of a ‘slow’ art of affective poetics as against a ‘fast’ art of public accessibility, the paper aims to define some of the major critical challenges of contemporary environmental art. In particular, whilst acknowledging the pressing need for a cultural response to climate change and loss of biodiversity, it considers some of the problems in the use of what it refers to heuristically as ‘fast’ art as a means of proselytising an environmental message. On the other hand, the paper questions how a ‘slow’ art of affective poetics might be adapted to reach a wider public.

Academic Integrity: A Correlational Study of Private Christian College Students\u27 Religiosity and the Propensity to Cheat

Creating a campus culture of academic integrity is a target aimed for by colleges across the nation. A religiosity level and academic dishonesty survey was administered for a predictive correlational study investigating religiosity levels and the propensity to cheat as they relate to students on the campuses of large, medium, and small private Christian college campuses in the southeastern United States. These factors were further tested to determine if they align with the determinants of behavior identified with the theory of planned behavior and self-efficacy. A volunteer response sample was utilized from the answers received by way of the online survey, and a bivariate linear regression analysis was conducted to predict the relationship between the level of religiosity and the propensity to cheat on Christian college campuses. The use of correlation and bivariate linear regression required that assumption testing for normality, reliability, linearity, and homoscedasticity be met. This predictive correlational study produced rigorous statistical information providing educational institutions insight as they work toward creating campus cultures of integrity

The design of a risk assessment model to determine the impact of the herbal medicine trade on the Witwatersrand on resources of indigenous plant species

Exploitation of botanical resources has resulted in significant decreases in the sizes of some plant populations, especially for species that have a high commercial value and are important to the lives and livelihoods of rural communities. Medicinal plant resources are used and traded commercially in both rural areas and urban centres, and over-exploitation has become a deterministic factor in the extinction risks to certain species. The main aim of the study was to design a risk assessment model to determine the impact of the medicinal plant trade on the Witwatersrand (centred around Johannesburg) on indigenous plant resources. The goal was to incorporate trade variables correlated with harvesting risks together with biological characteristics of the harvested species to predict which species are most threatened by the trade and are thus high on the list for conservation priority. The study required semi-quantitative surveys of the medicinal plants sold by traders in the Witwatersrand to be conducted. In 1994 and 2001, the plants sold in 50 muti shops and by 100 vendors in the Faraday Street market respectively were inventoried. Quantitative trade data were also captured, including volume, pricing structures and plant size (e.g. bark thickness and bulb diameter). A scientific sampling strategy was adhered to throughout the study to add statistical validity to the results. In a novel approach to analysing ethnobotanical data, the frequency of plant occurrences in the markets was analysed using measures (analysed by EstimateS) of species diversity traditionally used in ecology. The measures allowed for sampling strategies and sizes to be compared between data sets and for the number of species likely to be sold in the region to be estimated. Furthermore, data sets could be compared in terms of species richness, diversity, evenness and complimentarity. Another novel approach taken in the thesis was to estimate the number of individual plants harvested annually by gatherers, specifically the number of trees that are debarked and the number of whole bulbs that are removed. In order to estimate the number of trees debarked, a study was conducted to determine the relationship between bark thickness and stem diameter for six species. The results made it possible to estimate the condition of the resource in the wild from market records (i.e. bark thicknesses) and to see how the availability of larger trees has declined for species such as Warburgia salutaris between 1994 and 2001. Results for bulbs showed that there has been a significant decrease in the diameter of Eucomis autumnalis bulbs present in the markets in the same period, suggesting significant levels of resource depletion. The thesis explored the use of a multivariate methodology for assessing the extinction risks of species and assigning species harvested for the medicinal plant trade to various hierarchies of risk and conservation priority. Hierarchical and non-hierarchical cluster analysis (Ward’s and K-means respectively) methods were found to be effective in assigning species to clusters of similar risk and conservation priority. From a combined list of 392 ethnospecies recorded in the muti shops and Faraday market, a short-list of 119 higher risk species was identified using four to five trade variables. This list was further reduced to 87 species to ascertain conservation priorities based on the additional inclusion of seven biological variables in the assessment. From this list, approximately 31 species were identified as having higher conservation priority and would be candidates for further research, management and protection within the ambit of conservation and sustainable utilisation programmes. These species would further benefit from Orange Listing or having their IUCN Red List status re-evaluated. The methods developed in this study are recommended for other ethnobotanical studies. Furthermore, the risk assessment method could be applied to the assessment of species similarly traded in other medicinal plant markets or applied to the assessment of species under threat from other stressors at a regional, provincial and/or national level using the appropriate variables

Co-receptor CD8-mediated modulation of T-cell receptor functional sensitivity and epitope recognition degeneracy

The interaction between T-cell receptors (TCRs) and peptide epitopes is highly degenerate: a TCR is capable of interacting productively with a wide range of different peptide ligands, involving not only cross-reactivity proper (similar epitopes elicit strong responses), but also polyspecificity (ligands with distinct physicochemical properties are capable of interacting with the TCR). Degeneracy does not gainsay the fact that TCR recognition is fundamentally specific: for the vast majority of ligands, the functional sensitivity of a given TCR is virtually null whereas this TCR has an appreciable functional sensitivity only for a minute fraction of all possible ligands. Degeneracy can be described mathematically as the probability that the functional sensitivity, of a given TCR to a randomly selected ligand, exceeds a set value. Variation of this value generates a statistical distribution that characterizes TCR degeneracy. This distribution can be modeled on the basis of a Gaussian distribution for the TCR/ligand dissociation energy. The kinetics of the TCR and the MHCI molecule can be used to transform this underlying Gaussian distribution into the observed distribution of functional sensitivity values. In the present paper, the model is extended by accounting explicitly for the kinetics of the interaction between the co-receptor and the MHCI molecule. We show that T-cells can modulate the level of degeneracy by varying the density of co-receptors on the cell surface. This could allow for an analog of avidity maturation during incipient T-cell responses

Community Responsibility for Runaway and Thrownaway Youth--Commentary

The following is a commentary on an article discussing homeless youth and the need for communities to address this issue. It is clear that research is needed to understand more about the extent, causes and consequences of youth homelessness whether the youth has run or been thrown away from home. Drawing on interviews conducted with homeless and runaway youth, this commentary calls for community responsibility directed at locating these youth, acknowledging their presence in communities across the U.S., and developing coordinated multijurisdictional responses that support youth development and build on the strengths that have helped them survive