MAKING THE POLITICAL PERSONAL: INVESTIGATING THE RELATIONSHIP BETWEEN FEMINIST BELIEFS AND SEXUAL ASSERTIVENESS

The purpose of this study was to explore the relationship between identification with feminist beliefs and sexual assertiveness, by examining three potential mediators of that relationship: self-objectification, empowered entitlement, and self-silencing. Cross-sectional survey data were collected via online survey from 188 women. Results from correlational analyses indicated that active commitment to feminist beliefs was significantly related to lower levels of self-objectification and self-silencing and higher levels of empowered entitlement, but was not related to sexual assertiveness. Identification with nonfeminist beliefs (passive acceptance of sexism) was significantly related to higher levels of self-objectification and self-silencing and decreased empowered entitlement, as well as lower levels of sexual assertiveness. Baron and Kenny\u27s (1986) regression approach was used to explore potential mediators of the relationship between identification with nonfeminist beliefs and sexual assertiveness. In individual regression analyses, self-silencing fully mediated the relationship between identification with nonfeminist beliefs and sexual assertiveness. Regression analyses examining empowered entitlement as a mediator approached significance and analyses examining self-objectification as mediator were non-significant. An integrative analysis utilizing Preacher and Hayes\u27 (2008) method for evaluating indirect effects in multiple mediator models was used to further explore the impact of all three mediator variables and two covariates (age and education level) on the relationship between nonfeminist beliefs and sexual assertiveness. The overall model accounted for a significant portion of the variance in sexual assertiveness and the total indirect effect of nonfeminist beliefs on sexual assertiveness through the set of mediators was significant, whereas the direct effect of nonfeminist beliefs on sexual assertiveness was not significant, indicating that, after controlling for covariates, the set of three mediators together (self-objectification, empowered entitlement, and self-silencing) fully mediated the relationship between nonfeminist beliefs and sexual assertiveness. However, self-silencing appeared to contribute the only unique significant mediation in the model, accounting for approximately 84% of the total indirect effect. Unique indirect effects for self-objectification and empowered entitlement were not significant. Implications for understanding the relationship between identification with nonfeminist beliefs and sexual assertiveness and directions for future research are discussed

OrChem - An open source chemistry search engine for Oracle®

<p>Abstract</p> <p>Background</p> <p>Registration, indexing and searching of chemical structures in relational databases is one of the core areas of cheminformatics. However, little detail has been published on the inner workings of search engines and their development has been mostly closed-source. We decided to develop an open source chemistry extension for Oracle, the de facto database platform in the commercial world.</p> <p>Results</p> <p>Here we present OrChem, an extension for the Oracle 11G database that adds registration and indexing of chemical structures to support fast substructure and similarity searching. The cheminformatics functionality is provided by the Chemistry Development Kit. OrChem provides similarity searching with response times in the order of seconds for databases with millions of compounds, depending on a given similarity cut-off. For substructure searching, it can make use of multiple processor cores on today's powerful database servers to provide fast response times in equally large data sets.</p> <p>Availability</p> <p>OrChem is free software and can be redistributed and/or modified under the terms of the GNU Lesser General Public License as published by the Free Software Foundation. All software is available via <url>http://orchem.sourceforge.net</url>.</p

Graph theoretic methods for the analysis of structural relationships in biological macromolecules

Subgraph isomorphism and maximum common subgraph isomorphism algorithms from graph theory provide an effective and an efficient way of identifying structural relationships between biological macromolecules. They thus provide a natural complement to the pattern matching algorithms that are used in bioinformatics to identify sequence relationships. Examples are provided of the use of graph theory to analyze proteins for which three-dimensional crystallographic or NMR structures are available, focusing on the use of the Bron-Kerbosch clique detection algorithm to identify common folding motifs and of the Ullmann subgraph isomorphism algorithm to identify patterns of amino acid residues. Our methods are also applicable to other types of biological macromolecule, such as carbohydrate and nucleic acid structures

A maximum common substructure-based algorithm for searching and predicting drug-like compounds

Motivation: The prediction of biologically active compounds is of great importance for high-throughput screening (HTS) approaches in drug discovery and chemical genomics. Many computational methods in this area focus on measuring the structural similarities between chemical structures. However, traditional similarity measures are often too rigid or consider only global similarities between structures. The maximum common substructure (MCS) approach provides a more promising and flexible alternative for predicting bioactive compounds

Similarity Methods in Chemoinformatics

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Palatines and print culture imagining migration and identity in the British Atlantic world

This thesis explores the role of print culture and public opinion in shaping and directing the flow of migrants from southwest Germany to colonial New York in the first decade of the eighteenth century. Commonly referred to as the Palatine emigration of 1709, this mass movement began with the sudden departure of as many as 30,000 people from territories located in the Rhine River drainage basin--primarily from Cologne in the north to Basel, Switzerland in the south. These migrants varied widely by geographic origin, regional dialect, and religious belief, but all were united by common access to the Rhine--either directly or via its many riverine connections--and their desire to relocate in British North America. The arc of this story follows these disparate people as they were steadily constructed by print into a composite community called "the Palatines." Though many push factors existed to compel people to quit the western Holy Roman Empire in 1709, this thesis proposes that colonial promotional literature activated the migration, enabling so many people to imagine themselves as settlers in America. Along the way, the migrants traveled through London, where they underwent another imaginative transformation at the hands of the metropolitan British press. English-language writers such as Daniel Defoe seized on the coming of the German-speakers to articulate emerging notions of Britishness. In the process, these writers reconstructed the migrants as "the poor Palatines"--a term that only came into popular usage through the efforts of the political press in London. Applied universally to as many as 13,000 German-speakers who passed through the city in 1709, the Palatine moniker served as a catchall label for the migrants, irrespective of their varied origins. Essentialized as poverty-stricken foreigners rather than prospective Britons, the Palatines made ideal candidates for indentured servitude in New York. Constricted and redefined by labor contract, the Palatines pushed back against their indenture by leveraging the constructed group identity foisted on them by the London press to demand the freedom they imagined would be theirs based on the promotional promises that drew them from their homes in the first place

Business clusters in Mississippi\u27s forest products industry

A spatial analysis was used to examine location of Mississippi’s forest products manufacturers and identify potential forest business clusters. A Poisson regression was used to examine the impact of transportation infrastructure, labor and availability of raw materials on location of these manufacturers. Spatial analysis indicated that manufacturers tended to cluster and identified four potential forest business clusters. Regression analysis indicated that volume of harvested sawlogs had a positive impact on location of primary and secondary forest products manufacturers, whereas volume of harvested pulpwood had a positive impact on location of only secondary forest products manufacturers. Presence of four-lane interstate highways was associated with decreased location likelihood for secondary manufacturers, whereas railway presence increased location likelihood. Presence of primary manufacturers had a positive impact on location of secondary manufacturers, whereas labor force also had a positive impact on location of secondary forest product manufacturers