Attempting to Close the Food Gap: An Evaluation of the 2011 Fair Share Program in Gettysburg, PA

Background: Families in Adams County with an income between 160% and 250% of the Federal Poverty Income Guidelines and ineligible for federal food assistance programs were determined to be in the “food gap.” In collaboration with Adams County Farm Fresh Markets and the Center for Public Service at Gettysburg College, the Adams County Food Policy Council developed the Fair Share Program to provide monthly food vouchers and educational sessions to a group of families in the food gap to use at farmers markets in Gettysburg, PA. The goals of the program were to provide families not eligible for federal food assistance with an increased ability to purchase healthy foods, increase fruit and vegetable consumption, support local farms the local economy, and provide nutrition education and support. Purpose: We sought to identify the effectiveness of the pilot Fair Share Program in reaching its goals and to determine ways to improve the program in the future. Methods: 25 families who participated in the Fair Share Program during the summer of 2011 were given surveys at the start of the program, and interviews were conducted with participants at the end of the program. Surveys were given to the participating vendors at the farmers markets at the conclusion of the program. A bivariate analysis of the participant survey was done comparing results from Hispanic and non-Hispanic participants using SPSS Statistics 17.0, while the vendor surveys and interviews were evaluated qualitatively. Results: There were several noteworthy differences between the habits and perceptions of the Hispanic and non-Hispanic participants, including fruit and vegetable consumption patterns, reasons for not shopping at the farmer’s markets, and where food is typically obtained from. Interviews indicated that both participants and vendors had overall positive experiences with the program even though challenges including price and language differences were experienced. Conclusion: The Fair Share Project reached its goals and had a positive impact on the community. Improvements should be made if the program is to be continued in the future to address the challenges participants faced while participating, and there is strong support for continuation and extension of the program

SMEs in Focus : Exploring the experience of micro, small and medium enterprise owners in Malta

Report commissioned by the Ministry for Fair Competition, Small Business and Consumers in 2011. In-depth qualitative interviews were carried out on a purposive sample of business owners (n=31) to explore the relational dynamics at the root of doing business. Analysis focuses on two key intersections across macro/micro dimensions: the interface between the State and the Individual; and also that between the Market and the Individual enterprise. Key themes: Entrepreneurial motivation; Process of Process of ‘Rationalisation’ and ‘Regulation’; Enterprise owners’ perceived burdens/assets; Influence of family and gender; Collaboration and CompetitionMinistry for Fair Competition, Small Business and Consumerspeer-reviewe

New York Proposed Code of Evidence: Article V, The Symposium: The New York Proposed Code of Evidence

Article V of the New York Proposed Code of Evidence sets forth the rules of evidentiary privilege. Unlike other articles of the Proposed Code, it differs significantly from its federal counterpart. Article V of the Federal Rules of Evidence consists of only rule 501, which provides that, unless otherwise required by the constitution or federal statute, privileges in federal courts are governed by the principles of the common law as they may be interpreted... in the light of reason and experience. Rule 501 further provides, however, that questions of privilege in civil cases as to which state law supplies the rule of decision will be governed by state law. Thus, an examination of Article V of the New York Proposed Code is useful not only because of its significance in state cases, but also because of its relevance to federal diversity cases

Statistical Analysis of fMRI Time-Series: A Critical Review of the GLM Approach.

Functional magnetic resonance imaging (fMRI) is one of the most widely used tools to study the neural underpinnings of human cognition. Standard analysis of fMRI data relies on a general linear model (GLM) approach to separate stimulus induced signals from noise. Crucially, this approach relies on a number of assumptions about the data which, for inferences to be valid, must be met. The current paper reviews the GLM approach to analysis of fMRI time-series, focusing in particular on the degree to which such data abides by the assumptions of the GLM framework, and on the methods that have been developed to correct for any violation of those assumptions. Rather than biasing estimates of effect size, the major consequence of non-conformity to the assumptions is to introduce bias into estimates of the variance, thus affecting test statistics, power, and false positive rates. Furthermore, this bias can have pervasive effects on both individual subject and group-level statistics, potentially yielding qualitatively different results across replications, especially after the thresholding procedures commonly used for inference-making