Physical Sciences and Mathematics Commons^™

Flow Cytometry Used To Assess Genetic Damage In Frogs From Farm Ponds, Bartholomew L. Bly, Melinda G. Knutson, Mark B. Sandheinrich, Brian R. Gray, Dean A. Jobe

Journal of the Iowa Academy of Science: JIAS

Flow cytometry (FC) is a laboratory method used to detect genetic damage induced by environmental contaminants and other stressors in animals, including amphibians. We tested FC methods on three species of ranid frogs collected from farm ponds and natural wetlands in southeastern Minnesota. We compared FC metrics for Rana clamitans between ponds with direct exposure to agricultural contaminants and reference (unexposed) ponds. Concentrations of atrazine in water from our farm ponds ranged from 0.04 to 0.55 ppb. We found that R. clamitans from exposed ponds had DNA content similar to frogs from unexposed ponds. Pond-averaged C-values (a measure of DNA …

Front Matter

Journal of the Iowa Academy of Science: JIAS

No abstract provided.

Back Cover

Journal of the Iowa Academy of Science: JIAS

No abstract provided.

Cover - Table Of Contents

Journal of the Iowa Academy of Science: JIAS

No abstract provided.

Front Matter

Journal of the Iowa Academy of Science: JIAS

No abstract provided.

Index For The Journal Of The Iowa Academy Of Science Volume 111

Journal of the Iowa Academy of Science: JIAS

No abstract provided.

Editorial Board & Iowa Academy Of Science Officers And Directors

Journal of the Iowa Academy of Science: JIAS

No abstract provided.

Back Cover

Journal of the Iowa Academy of Science: JIAS

No abstract provided.

Semantic Visualization: Interfaces For Exploring And Exploiting Ontology, Knowledgebase, Heterogeneous Content And Complex Relationships, Amit P. Sheth, David Avant

Kno.e.sis Publications

Technology platforms and products for ontology-driven process of semantic applications that serve both Enterprise wide and pan-Web needs are both available and being deployed. Similar to the development of enterprise software applications, the creation of an ontology driven semantic application can be described as a set of distinct phases that compose a lifecycle. From conception to deployment, these phases involve human interaction with a broad variety of information, identified as heterogeneous data, metadata, knowledge and ontology. Based on experience spanning academic research at the LSDIS lab through deployed commercial semantic applications based on Semagix Freedom, this paper provides examples of …

Early Work In Database Research On Schema Mapping/Merging/Transformation, Semantic Heterogeneity, And Use Of Ontology And Description Logics For Schematic And Semantic Integration, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

Capturing The Dialectic Between Principles And Cases, Kevin D. Ashley

Articles

Theorists in ethics and law posit a dialectical relationship between principles and cases; abstract principles both inform and are informed by the decisions of specific cases. Until recently, however, it has not been possible to investigate or confirm this relationship empirically. This work involves a systematic study of a set of ethics cases written by a professional association's board of ethical review. Like judges, the board explains its decisions in opinions. It applies normative standards, namely principles from a code of ethics, and cites past cases. We hypothesized that the board's explanations of its decisions elaborated upon the meaning and …

E-Rulemaking: Information Technology And The Regulatory Process: New Directions In Digital Government Research, Cary Coglianese

All Faculty Scholarship

Electronic rulemaking, or e-rulemaking, offers the potential to overcome some of the informational challenges associated with developing regulations. E-rulemaking refers to the use of digital technologies in the development and implementation of regulations. The use of these technologies may help streamline and improve regulatory management, such as by helping agency staff retrieve and analyze vast quantities of information from diverse sources. By taking better advantage of advances in digital technologies, agencies might also be able to increase the public's access to and involvement in rulemaking. Part I of this article details the rulemaking process, outlining the procedures agencies must currently …

Deviance Information Criterion For Comparing Stochastic Volatility Models, Andreas Berg, Renate Meyer, Jun Yu

Research Collection School Of Economics

Bayesian methods have been efficient in estimating parameters of stochastic volatility models for analyzing financial time series. Recent advances made it possible to fit stochastic volatility models of increasing complexity, including covariates, leverage effects, jump components, and heavy-tailed distributions. However, a formal model comparison via Bayes factors remains difficult. The main objective of this article is to demonstrate that model selection is more easily performed using the deviance information criterion (DIC). It combines a Bayesian measure of fit with a measure of model complexity. We illustrate the performance of DIC in discriminating between various different stochastic volatility models using simulated …

Visual Expectations: Using Machine Learning To Identify Patterns In Psychological Data, Skyler Place

Honors Theses

The goal of this project was to utilize the tools of machine learning to evaluate the data obtained through experiments in psychology. Advanced pattern finding algorithms are an effective approach to analyzing large sets of data, from any domain of science. Consequently, we have a psychological question and hypothesis, and a separate machine learning technique to assess these claims. The realm of psychology that I focused on is visual cognition, and how an individual's knowledge affects how they see the world. This alteration of visual data is a part of perception -when the brain enhances the data coming in from …

Integrating Perception, Language And Problem Solving In A Cognitive Agent For A Mobile Robot., Deryle W. Lonsdale, D. Paul Benjamin, Damian M. Lyons

Faculty Publications

We are implementing a unified cognitive architecture for a mobile robot. Our goal is to endow a robot agent with the full range of cognitive abilities, including perception, use of natural language, learning and the ability to solve complex problems. The perspective of this work is that an architecture based on a unified theory of robot cognition has the best chance of attaining human-level performance.

This agent architecture is an integration of three theories: a theory of cognition embodied in the Soar system, the RS formal model of sensorimotor activity and an algebraic theory of decomposition and reformulation.

These three …

Imagery In Sentence Comprehension: An Fmri Study, Marcel Just, Sharlene Newman, Timothy Keller, Alice Mceleney, Patricia Carpenter

Marcel Adam Just

No abstract provided.

How The Brain Processes Causal Inferences In Text: A Theoretical Account Of Generation And Integration Component Processes Utilizing Both Cerebral Hemispheres, Robert Mason, Marcel Just

Marcel Adam Just

No abstract provided.

Learning To Decode Cognitive States From Brain Images, Tom M. Mitchell, Rebecca Hutchinson, Radu S. Niculescu, Francisco Pereira, Xuerui Wang, Marcel Adam Just, Sharlene D. Newman

Marcel Adam Just

No abstract provided.

Consumption Function, Douglas G. Steigerwald

Douglas G. Steigerwald

No abstract provided.

Cortical Activation And Synchronization During Sentence Comprehension In High-Functioning Autism: Evidence Of Underconnectivity, Marcel Adam Just, Vladimir L. Cherkassky, Timothy A. Keller, Nancy J. Minshew

Marcel Adam Just

No abstract provided.

Modelling Dynamic Conditional Correlations In Wti Oil Forward And Futures Returns, Alessandro Lanza, Matteo Manera, Micheal Mcaleer

Matteo Manera

This paper estimates the dynamic conditional correlations in the returns on WTI oil onemonth forward prices, and one-, three-, six-, and twelve-month futures prices, using recently developed multivariate conditional volatility models. The dynamic correlations enable a determination of whether the forward and various futures returns are substitutes or complements, which are crucial for deciding whether or not to hedge against unforeseen circumstances. The models are estimated using daily data on WTI oil forward and futures prices, and their associated returns, from 3 January 1985 to 16 January 2004. At the univariate level, the estimates are statistically significant, with the occasional …

Fall Prevention Programs For The Elderly: A Bayesian Secondary Meta-Analysis, Joseph F. Lucke

Joseph Lucke

A secondary meta-analysis of programs to reduce falls in the elderly is undertaken to demonstrate a Bayesian analysis. The Bayesian statistical tradition is carefully distinguished from the standard Neyman-Pearson-Wald (NPW) statistical tradition. In the 12 studies, the logit effect size is used to compare treatment groups using a prevention program to control groups without a program. To contrast the Bayesian analysis, independent-effects and fixed-effect meta-analyses are first conducted in the NPW tradition. This is followed by Bayesian independent-effects and fixed-effect meta-analyses that numerically replicate the NPW results but have conceptually different interpretations. The final analyses comprise Bayesian random-effects and predictive …