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Latrobe, PA, United States

Saint Vincent College is a four-year, coeducational, Roman Catholic, Benedictine, liberal arts college located about 40 miles southeast of Pittsburgh in Latrobe, Pennsylvania, USA. It was founded in 1846 by Boniface Wimmer, a monk from Bavaria, Germany. It was the first Benedictine monastery in the United States. It is operated by the Benedictine monks of Saint Vincent Archabbey. Wikipedia.

Follansbee P.S.,Saint Vincent College
Journal of Engineering Materials and Technology, Transactions of the ASME | Year: 2012

Austenitic stainless steels-particularly the 304 and 316 families of alloys-exhibit similar trends in the dependence of yield stress on temperature. Analysis of temperature and strain-rate dependent yield stress literature data in alloys with varying nitrogen content and grain size has enabled the definition of two internal state variables characterizing defect populations. The analysis is based on an internal state variable constitutive law termed the mechanical threshold stress model. One of the state variables varies solely with nitrogen content and is characterized with a larger activation volume. The other state variable is characterized by a much smaller activation volume and may represent interaction of dislocations with solute and interstitial atoms. Analysis of the entire stress-strain curve requires addition of a third internal state variable characterizing the evolving stored dislocation density. Predictions of the model are compared to measurements in 304, 304L, 316, and 316L stainless steels deformed over a wide range of temperatures (up to one-half the melting temperature) and strain rates. Model predictions and experimental measurements deviate at temperatures above ∼600 K where dynamic strain aging has been observed. Application of the model is demonstrated in irradiated 316LN where the defect population induced by irradiation damage is analyzed. This defect population has similarities with the stored dislocation density. The proposed model offers a framework for modeling deformation in stable austenitic stainless steels (i.e., those not prone to a martensitic phase transformation). © 2012 American Society of Mechanical Engineers. Source

Fisher M.A.,Saint Vincent College
Journal of Chemical Education | Year: 2012

Sustainability poses a set of unique challenges for chemistry, challenges that need to be brought into the chemistry curriculum. Doing so will provide unique opportunities to connect learning chemistry to the broad goals of education as well as provide a more fully rounded professional education for chemistry majors. The steady growth in recent years of resources for supporting the incorporation of sustainability into chemistry education makes this goal much more realistic and achievable. © 2011 American Chemical Society and Division of Chemical Education, Inc. Source

Sierk M.L.,Saint Vincent College | Smoot M.E.,University of California at San Diego | Bass E.J.,University of Virginia | Pearson W.R.,University of Virginia
BMC Bioinformatics | Year: 2010

Background: While the pairwise alignments produced by sequence similarity searches are a powerful tool for identifying homologous proteins - proteins that share a common ancestor and a similar structure; pairwise sequence alignments often fail to represent accurately the structural alignments inferred from three-dimensional coordinates. Since sequence alignment algorithms produce optimal alignments, the best structural alignments must reflect suboptimal sequence alignment scores. Thus, we have examined a range of suboptimal sequence alignments and a range of scoring parameters to understand better which sequence alignments are likely to be more structurally accurate.Results: We compared near-optimal protein sequence alignments produced by the Zuker algorithm and a set of probabilistic alignments produced by the probA program with structural alignments produced by four different structure alignment algorithms. There is significant overlap between the solution spaces of structural alignments and both the near-optimal sequence alignments produced by commonly used scoring parameters for sequences that share significant sequence similarity (E-values < 10-5) and the ensemble of probA alignments. We constructed a logistic regression model incorporating three input variables derived from sets of near-optimal alignments: robustness, edge frequency, and maximum bits-per-position. A ROC analysis shows that this model more accurately classifies amino acid pairs (edges in the alignment path graph) according to the likelihood of appearance in structural alignments than the robustness score alone. We investigated various trimming protocols for removing incorrect edges from the optimal sequence alignment; the most effective protocol is to remove matches from the semi-global optimal alignment that are outside the boundaries of the local alignment, although trimming according to the model-generated probabilities achieves a similar level of improvement. The model can also be used to generate novel alignments by using the probabilities in lieu of a scoring matrix. These alignments are typically better than the optimal sequence alignment, and include novel correct structural edges. We find that the probA alignments sample a larger variety of alignments than the Zuker set, which more frequently results in alignments that are closer to the structural alignments, but that using the probA alignments as input to the regression model does not increase performance.Conclusions: The pool of suboptimal pairwise protein sequence alignments substantially overlaps structure-based alignments for pairs with statistically significant similarity, and a regression model based on information contained in this alignment pool improves the accuracy of pairwise alignments with respect to structure-based alignments. © 2010 Sierk et al; licensee BioMed Central Ltd. Source

A lack of management capacity has been identified as the key stumbling block to attaining the goals of health for all in South Africa. As part of the overall management development process, this research aims to identify the skills that are important for health services management and to evaluate managers' self-assessed proficiency in each of these skills. We also examined the impact of past training on perceived competency levels. A cross-sectional survey using a self-administered questionnaire was conducted among 404 hospital managers in the South African public and private sectors. Respondents were asked to rate the level of importance that each proposed competency had in their job and to indicate their proficiency in each skill. Both public and private sector managers rated competencies related to 'people management', 'self-management' and 'task-related skills' highest followed by 'strategic planning' and 'health delivery', respectively. The largest differences between mean importance rating and mean skill rating for public sector managers were for people management skills, task-related skills and self-management skills. The largest deficits for private sector managers were for people management skills, selfmanagement skills and health delivery skills. Informal management development programmes were found to be more valuable in improving management skills. These findings reflect the reality of the local health service environment and the need of health managers. It will be useful in the conceptualization, design and delivery of health management programmes aimed at enhancing current and future management and leadership capacity in the health sector in South Africa. Source

Kam J.A.,University of Illinois at Urbana - Champaign | Wang N.,University of Illinois at Urbana - Champaign | Harvey J.,Saint Vincent College
Journal of Adolescence | Year: 2014

This study hypothesized that frequent exposure to and attention to music with substance-use references would be indirectly related to alcohol, cigarette, or marijuana use through pro-substance-use beliefs (e.g., norms, outcome expectancies, and refusal efficacy). Parent-child communication, however, would attenuate such associations, which would differ by ethnicity. Multigroup mediation and moderation analyses were conducted, using cross-sectional survey data from 253 Latino and 308 European American 6th-8th grades students. For Latino and European American early adolescents, best-friend-injunctive norms and weak refusal efficacy were significant mediators, but not positive outcome expectancies. Descriptive norms were a significant mediator, but only for European American early adolescents. Although targeted parent-child communication and parental mediation did not moderate the associations between the music-exposure variables and the pro-substance-use beliefs variables, targeted parent-child communication attenuated the association between listening to favorite songs and alcohol consumption. Parental mediation attenuated the association between attention to music and alcohol consumption. © 2014 The Foundation for Professionals in Services for Adolescents. Source

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