University of Wisconsin–Eau Claire

About: University of Wisconsin–Eau Claire is a education organization based out in Eau Claire, Wisconsin, United States. It is known for research contribution in the topics: Poison control & Population. The organization has 1780 authors who have published 2690 publications receiving 93094 citations. The organization is also known as: UW-Eau Claire & University of Wisconsin-Eau Claire.

The role of the Grafenberg Spot and female ejaculation in the female orgasmic response: an empirical analysis.

Abstract: Despite earlier contrary claims, researchers have found evidence that a sensitive area (Grafenberg Spot) exists in the vaginal barrel. This area is a potential source of orgasm independent of clitoral stimulation. Other researchers have reported that some women experience a sudden spurt of fluid at the moment of orgasm. In the interest of contributing to further understanding of physiological and psychological sexual satisfaction, and alleviation of concerns about perceived urination during orgasm, the investigators explored a series of variables thought to be associated with perceptions of the Grafenberg Spot and its relationship, if any, to the female orgasmic response and female ejaculation. An anonymous questionnaire was distributed to 2,350 women in the United States and Canada, with a subsequent 55% return rate. A number of factors were found to be associated with perceived existence of a sensitive area in the vaginal barrel which, when properly stimulated, activates orgasm. Women who reported sensitive area orgasms were also more likely to report a spurt of fluid at moment of orgasm.

Explanation in Information Systems

Abstract: . Explanation of observed phenomena is a major objective of both those who conduct and those who apply research in information systems (IS). Whereas explanation based on the statistical relationship between independent and dependent variables is a common outcome of explanatory IS research, philosophers of science disagree about whether statistical relationships are the sole basis for the explanation of phenomena. The purpose of this paper is to introduce an expanded concept of explanation into the realm of IS research. We present a framework based on the four principle explanation types defined in modern philosophy: covering-law explanation, statistical-relevance explanation, contrast-class explanation and functional explanation. A well-established research stream, media richness, is used to illustrate how the different explanation types complement each other in increasing comprehension of the phenomenon. This framework underlies our argument that explanatory pluralism can be used to broaden research perspectives and increase scientific comprehension of IS phenomena above and beyond the methodological and ontological pluralism currently in use in IS research.

Species richness along multiple gradients: testing a general multivariate model in oak savannas

Abstract: A confinnatory structural equation model was built in order to test the generality of Grace and Pugesek's model of species richness. A main feature of their model was that light reaching the soil surface had the strongest effects on species richness, and that disturbance and biomass effects were largely indirect via effects on light. Their model was not confirmed for the understory vegetation of floodplain oak savannas and a new model had numerous fundamental differences. Disturbance history had the strongest direct effects on richness and these were independent of biomass effects. Richness was maximal at intermediate disturbance and biomass. Bivariate relationships between soil quality and species density were very, weak because soil quality simultaneously had negative direct effects and positive indirect effects (through biomass), such that the total effect of soil was negligible. This provides an example of how structural modeling can provide insights that are not possible with other numerical methods. The complex effects of soils support recent findings that some soil components tend to increase richness via a species pool effect while other components tend to reduce richness via biotic interactions. The effects of light were not significant, but canopy trees had weak positive effects, and this contradicts other structural models which have generally shown that shading reduces species richness. Here, species richness increases with shade presumably because of species pool effects, whereby the species pool increases by including prairie, savanna, and some woodland species and indirectly by reducing dominance by warm-season grasses. The results have implications for management because of the overall importance of disturbance history, however the majority of the variation in richness was left unexplained and this suggests other factors such as dispersal limitation, soil fungi, and historical effects may be of overriding importance in these oak savannas.