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2014

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Articles 1081 - 1110 of 12299

Full-Text Articles in Physical Sciences and Mathematics

A Heterogeneous Compute Solution For Optimized Genomic Selection Analysis, Trevor Devore, Scott Kenneth Winkleblack, Bruce Golden, Chris Lupo Nov 2014

A Heterogeneous Compute Solution For Optimized Genomic Selection Analysis, Trevor Devore, Scott Kenneth Winkleblack, Bruce Golden, Chris Lupo

Computer Science and Software Engineering

This paper presents a heterogeneous computing solution for an optimized genetic selection analysis tool, GenSel. GenSel can be used to efficiently infer the effects of genetic markers on a desired trait or to determine the genomic estimated breeding values (GEBV) of genotyped individuals. To predict which genetic markers are informational, GenSel performs Bayesian inference using Gibbs sampling, a Markov Chain Monte Carlo (MCMC) algorithm. Parallelizing this algorithm proves to be a technically challenging problem because there exists a loop carried dependence between each iteration of the Markov chain. The approach presented in this paper exploits both task-level parallelism (TLP) and …

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Faculty Research Interest Database, David Owerbach Nov 2014

Faculty Research Interest Database, David Owerbach

Office of Research Institutional Research and Scholarship

No abstract provided.

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Tsu Faculty Publication Database, David Owerbach Nov 2014

Tsu Faculty Publication Database, David Owerbach

Office of Research Institutional Research and Scholarship

No abstract provided.

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Ironfox: Securing The Web, Stephen Mcmurtry, William Johnson, Khadija Stewart (Advisor) Nov 2014

Ironfox: Securing The Web, Stephen Mcmurtry, William Johnson, Khadija Stewart (Advisor)

Annual Student Research Poster Session

No abstract provided.

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Utilizing Indicator Of Reduction In Soils Tubes To Affirm A Serpentinitic Hydric Soil On The California Central Coast, Jason Demoss Nov 2014

Utilizing Indicator Of Reduction In Soils Tubes To Affirm A Serpentinitic Hydric Soil On The California Central Coast, Jason Demoss

Natural Resources Management and Environmental Sciences

Wetlands are vital ecosystems that are crucial in maintaining the life of rare and unique soils, plants, and animals. These ecosystems are key players in water storage, water filtration, carbon storage, and harboring unique species. Since the intervention of human development on the Earth’s surface, almost 50% of the Earth’s original wetlands have either been damaged or destroyed. The identification and assessment of both new and old wetlands is crucial in the survival of these precious ecosystems and their conservation. A 3 month-long study was performed to confirm the hydric status of a soil derived from serpentinitic parent material. The …

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Physical, Chemical And Biological Assessment Of Yoncalla Log Ponds, Rich Miller, Mark D. Sytsma, Angela L. Strecker Nov 2014

Physical, Chemical And Biological Assessment Of Yoncalla Log Ponds, Rich Miller, Mark D. Sytsma, Angela L. Strecker

Center for Lakes and Reservoirs Publications and Presentations

The Yoncalla Log Ponds are a series of four ponds located in within the city limits of the town in Yoncalla in northern Douglas County, Oregon. The ponds were created in stages between the late 1930s and the 1950s and used for log storage through the 1970s (North Douglas Betterment 2014). North Douglas Betterment purchased the land surrounding the ponds and contracted with the Center for Lakes and Reservoirs at Portland State University to assess the current morphometry, vegetation and water quality status of the ponds and provide recommendations for management of the aquatic vegetation. The scope of this document …

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Development Of A Stakeholder-Driven Spatial Modeling Framework For Strategic Landscape Planning Using Bayesian Networks Across Two Urban-Rural Gradients In Maine, Usa, Spencer Meyer, Michelle Johnson, Robert Lilieholm, Christopher Cronan Nov 2014

Development Of A Stakeholder-Driven Spatial Modeling Framework For Strategic Landscape Planning Using Bayesian Networks Across Two Urban-Rural Gradients In Maine, Usa, Spencer Meyer, Michelle Johnson, Robert Lilieholm, Christopher Cronan

Publications

Land use change results from frequent, independent actions by decision-makers working in isolation, often with a focus on a single land use. In order to develop integrated land use policies that encourage sustainable outcomes, scientists and practitioners must understand the specific drivers of land use change across mixed land use types and ownerships, and must consider the combined influences of biophysical, economic, and social factors that affect land use decisions. In this analysis of two large watersheds covering a total of 1.9 million hectares in Maine, USA, we co-developed with groups of stakeholders land use suitability models that integrated four …

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Trading Fat For Forests: On Palm Oil, Tropical Forest Conservation, And Rational Consumption, Cindy Isenhour Nov 2014

Trading Fat For Forests: On Palm Oil, Tropical Forest Conservation, And Rational Consumption, Cindy Isenhour

Anthropology Faculty Scholarship

The longstanding butter vs margarine debate has recently become more complex as the links between margarine, industrial palm oil plantations, and tropical deforestation are made increasingly clear. Yet despite calls for consumers to get informed and take responsibility for tropical deforestation by boycotting margarine or purchasing buttery spreads made with sustainably-sourced palm oil, research in multiple contexts demonstrates that even the most aware, engaged, and rational consumers run into significant barriers when trying to reduce their environmental impacts. This paper supplements important critiques of neoliberal conservation at the site of extraction or intended conservation (Carrier and West 2009; Igoe and …

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Ridge Regression And Ill-Conditioning, Ghadban Khalaf, Mohamed Iguernane Nov 2014

Ridge Regression And Ill-Conditioning, Ghadban Khalaf, Mohamed Iguernane

Journal of Modern Applied Statistical Methods

Hoerl and Kennard (1970) suggested the ridge regression estimator as an alternative to the Ordinary Least Squares (OLS) estimator in the presence of multicollinearity. This article proposes new methods for estimating the ridge parameter in case of ordinary ridge regression. A simulation study evaluates the performance of the proposed estimators based on the Mean Squared Error (MSE) criterion and indicates that, under certain conditions, the proposed estimators perform well compared to the OLS estimator and another well-known estimator reviewed.

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Comparison Of Crystal Structures Of 4-(Benzo[B]Thiophen-2-Yl)-5-(3,4,5-Trimethoxyphenyl)-2H-1,2,3-Triazole And 4-(Benzo[B]Thiophen-2-Yl)-2-Methyl-5-(3,4,5-Trimethoxyphenyl)-2H-1,2,3-Triazole, Narsimha Reddy Penthala, Nikhil Reddy Madadi, Shobanbabu Bommagani, Sean Parkin, Peter A. Crooks Nov 2014

Comparison Of Crystal Structures Of 4-(Benzo[B]Thiophen-2-Yl)-5-(3,4,5-Trimethoxyphenyl)-2H-1,2,3-Triazole And 4-(Benzo[B]Thiophen-2-Yl)-2-Methyl-5-(3,4,5-Trimethoxyphenyl)-2H-1,2,3-Triazole, Narsimha Reddy Penthala, Nikhil Reddy Madadi, Shobanbabu Bommagani, Sean Parkin, Peter A. Crooks

Chemistry Faculty Publications

The title compound, C19H17N3O3S (I), was prepared by a [3 + 2]cyclo­addition azide condensation reaction using sodium azide and l-proline as a Lewis base catalyst. N-Methyl­ation of compound (I) using CH3I gave compound (II), C20H19N3O3S. The benzo­thio­phene ring systems in (I) and (II) are almost planar, with r.m.s deviations from the mean plane = 0.0205 (14) in (I) and 0.016 (2) Å in (II). In (I) and (II), the triazole rings make dihedral angles of 32.68 (5) and 10.43 (8)°, respectively, …

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Nasa's Search For Life Beyond The Earth, John W. Delano Prof Nov 2014

Nasa's Search For Life Beyond The Earth, John W. Delano Prof

Atmospheric and Environmental Science Faculty Scholarship

Invited presentation (November 3, 2014 for the 119th Annual Conference of the Science Teachers Association of New York State) provides an overview of NASA's search for worlds orbiting other nearby stars on the Milky Way galaxy.

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A New Transfer Impedance Based System Equivalent Model For Voltage Stability Analysis, Yang Wang, Caisheng Wang, Feng Lin, Wenyuan Li, Le Yi Wang, Junhui Zhao Nov 2014

A New Transfer Impedance Based System Equivalent Model For Voltage Stability Analysis, Yang Wang, Caisheng Wang, Feng Lin, Wenyuan Li, Le Yi Wang, Junhui Zhao

Electrical & Computer Engineering and Computer Science Faculty Publications

This paper presents a new transfer impedance based system equivalent model (TISEM) for voltage stability analysis. The TISEM can be used not only to identify the weakest nodes (buses) and system voltage stability, but also to calculate the amount of real and reactive power transferred from the generator nodes to the vulnerable node causing voltage instability. As a result, a full-scale view of voltage stability of the whole system can be presented in front of system operators. This useful information can help operators take proper actions to avoid voltage collapse. The feasibility and effectiveness of the TISEM are further validated …

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A Potential Foundation For Emergent Space-Time, Kevin H. Knuth, Newshaw Bahreyni Nov 2014

A Potential Foundation For Emergent Space-Time, Kevin H. Knuth, Newshaw Bahreyni

Physics Faculty Scholarship

We present a novel derivation of both the Minkowski metric and Lorentz transformations from the consistent quantification of a causally ordered set of events with respect to an embedded observer. Unlike past derivations, which have relied on assumptions such as the existence of a 4-dimensional manifold, symmetries of space-time, or the constant speed of light, we demonstrate that these now familiar mathematics can be derived as the unique means to consistently quantify a network of events. This suggests that space-time need not be physical, but instead the mathematics of space and time emerges as the unique way in which an …

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Dynamics Of Skirting Droplets, Caleb Akers, Jacob Hale Nov 2014

Dynamics Of Skirting Droplets, Caleb Akers, Jacob Hale

Annual Student Research Poster Session

No abstract provided.

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"Be Our Guest:" Crafting A Magical Client Experience, Rebecca Klein, Kevin Steele Nov 2014

"Be Our Guest:" Crafting A Magical Client Experience, Rebecca Klein, Kevin Steele

Information Technology Faculty and Staff Publications

The Client Services team of Valparaiso University’s IT department found inspiration in Disney’s guest service models and has been building a culture of superior service throughout IT. Come along on a magic carpet ride to discover how this new world is transforming delivery of technological services to the campus. From Help Desk to training to assessment, we are increasing satisfaction levels among campus constituents as we meet their needs. We will show how we created a guest service compass that guides our decision-making and service delivery. Further, we will share areas where we learned we were creating our own obstacles …

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An Analysis Of Mayo Clinic Search Query Logs For Cardiovascular Diseases, Ashutosh Sopan Jadhav, Amit P. Sheth, Jyotishman Pathak Nov 2014

An Analysis Of Mayo Clinic Search Query Logs For Cardiovascular Diseases, Ashutosh Sopan Jadhav, Amit P. Sheth, Jyotishman Pathak

Kno.e.sis Publications

Increasingly, individuals are taking active participation in learning and managing their health by leveraging online resources. Understanding online health information searching behavior can help us to study what health topics users search for and how search queries are formulated. In this work, we analyzed 10 million cardiovascular diseases (CVD) related search queries from MayoClinic.com. We performed semantic analysis on the queries using UMLS MetaMap and analyzed structural and textual properties as well as linguistic characteristics of the queries.

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Discovering Perceptions In Online Social Media: A Probabilistic Approach, Derek Doran, Swapna S. Gokhale, Aldo Dagnino Nov 2014

Discovering Perceptions In Online Social Media: A Probabilistic Approach, Derek Doran, Swapna S. Gokhale, Aldo Dagnino

Kno.e.sis Publications

People across the world habitually turn to online social media to share their experiences, thoughts, ideas, and opinions as they go about their daily lives. These posts collectively contain a wealth of insights into how masses perceive their surroundings. Therefore, extracting people’s perceptions from social media posts can provide valuable information about pertinent issues such as public transportation, emergency conditions, and even reactions to political actions or other activities. This paper proposes a novel approach to extract such perceptions from a corpus of social media posts originating from a given broad geographical region. The approach divides the broad region into …

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Reduction Of The Long-Term Inaccuracy From The Avhrr–Based Ndvi Data, Md Zahidur Rahman, Leonid Roytman, M. Nazrul Islam Nov 2014

Reduction Of The Long-Term Inaccuracy From The Avhrr–Based Ndvi Data, Md Zahidur Rahman, Leonid Roytman, M. Nazrul Islam

Publications and Research

This paper investigated the normalized difference vegetation index (NDVI) stability in the NOAA/NESDIS Global Vegetation Index (GVI) data during 1982-2003, which was collected from five NOAA series satellites. An empirical distribution function (EDF) was developed to eliminate the long-term inaccuracy of the NDVI data derived from the AVHRR sensor on NOAA polar orbiting satellite. The instability of data results from orbit degradation as well as from the circuit drifts over the life of a satellite. Degradation of NDVI over time and shifts of NDVI between the satellites were estimated using the China data set, because it includes a wide variety …

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Place Events Fall 2014, Place Nov 2014

Place Events Fall 2014, Place

PLACE Historical Documents

This document describes PLACE events at Linfield College for fall 2014.

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Habitat And Seasonal Distribution Of The North American River Otter (Lontra Canadensis) And Vertebrate Species Assemblages In Two Protected Areas Of The Florida Everglades, Catherine Faye Hamilton Nov 2014

Habitat And Seasonal Distribution Of The North American River Otter (Lontra Canadensis) And Vertebrate Species Assemblages In Two Protected Areas Of The Florida Everglades, Catherine Faye Hamilton

HCNSO Student Theses and Dissertations

The Florida Everglades ecosystem is threatened by human development, increased pollution, freshwater scarcity, and invasive species; factors that have negatively impacted the Everglades and native species health and populations. Man-made canals and levies have redirected the natural flow of fresh water from Lake Okeechobee into the Florida Everglades, starving central and south Florida ecosystems of necessary fresh water and nutrients. Through the efforts of the Comprehensive Everglades Restoration Project (CERP), freshwater is being redirected back into central and south Florida, returning the sheet flow of water back into the Everglades. Monitoring species abundance in the Everglades is a beneficial conservational …

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Sfa Weather Station-November 2014, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University Nov 2014

Sfa Weather Station-November 2014, Arthur Temple College Of Forestry And Agriculture, Stephen F. Austin State University

Weather Station Data

No abstract provided.

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Non-Structural Program To Limit E. Coli Within Antelope Creek Lincoln, Nebraska, Jeffrey Polkowski Nov 2014

Non-Structural Program To Limit E. Coli Within Antelope Creek Lincoln, Nebraska, Jeffrey Polkowski

Community and Regional Planning Program: Professional Projects

Beginning in 2008, The City of Lincoln, Nebraska set forth efforts to reduce pollutant loads within Antelope Creek below U.S. Environmental Protection Agency (EPA) criteria with the goal of eventually having segments of the stream removed from the Clean Water Act 303(d) list of impaired waters. Early efforts focus on channel improvements made as part of the Antelope Valley Project to increase the flood carrying capacity of the Creek. However, additional funding is being provided through an intergovernmental agreement between the Nebraska Department of Environmental Quality and the City of Lincoln (Grant Number: 56-1283) to allow the City of Lincoln’s …

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Aptian To Santonian Foraminiferal Biostratigraphy And Paleoenvironmental Change In The Sverdrup Basin As Revealed At Glacier Fiord, Axel Heiberg Island, Canadian Arctic Archipelago, Claudia J. Schröder-Adams, Jens O. Herrle, Ashton F. Embry, James W. Haggart, Jennifer M. Galloway, Adam T. Pugh, David M. Harwood Nov 2014

Aptian To Santonian Foraminiferal Biostratigraphy And Paleoenvironmental Change In The Sverdrup Basin As Revealed At Glacier Fiord, Axel Heiberg Island, Canadian Arctic Archipelago, Claudia J. Schröder-Adams, Jens O. Herrle, Ashton F. Embry, James W. Haggart, Jennifer M. Galloway, Adam T. Pugh, David M. Harwood

ANDRILL Research and Publications

Exceptional exposures of a High Arctic Cretaceous sedimentary record were studied at Glacier Fiord, Axel Heiberg Island. The succession reveals a complex Aptian to Santonian paleoenvironmental history of the Sverdrup Basin that documents several global events. Foraminiferal faunas in combination with rare macrofossil occurrences permit the distinction of nine zones that facilitate biostratigraphic correlations to other High Arctic locales, the Beaufort Mackenzie Basin and the Western Interior Sea. The depositional environment as exposed in the Christopher, Hassel, Bastion Ridge and Kanguk formations changed frequently from a shelf to a shoreface setting. Most sequence boundaries appear to be conformable where shoaling …

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Optimal Location Design For Prediction Of Spatial Correlated Environmental Functional Data, Mahdi Rasekhi, B. Jamshidi, F. Rivaz Nov 2014

Optimal Location Design For Prediction Of Spatial Correlated Environmental Functional Data, Mahdi Rasekhi, B. Jamshidi, F. Rivaz

Journal of Modern Applied Statistical Methods

The optimal choice of sites to make spatial prediction is critical for a better understanding of really spatio-temporal data. It is important to obtain the essential spatio-temporal variability of the process in determining optimal design, because these data tend to exhibit both spatial and temporal variability. Two new methods of prediction for spatially correlated functional data are considered. The first method models spatial dependency by fitting variogram to empirical variogram, similar to ordinary kriging (univariate approach). The second method models spatial dependency by linear model co-regionalization (multivariate approach). The variance of prediction method was chosen as the optimization design criterion. …

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Missing Data And The Statistical Modeling Of Adolescent Pregnancy, Dudley L. Poston Dr., Eugenia Conde Dr. Nov 2014

Missing Data And The Statistical Modeling Of Adolescent Pregnancy, Dudley L. Poston Dr., Eugenia Conde Dr.

Journal of Modern Applied Statistical Methods

Missing data is a pervasive problem in social science research. Many techniques have been developed to handle the problem. Different ways of handling missing data were shown to lead to different results in statistical models. A demonstration was given based on statistical modeling of the likelihood of a woman reporting having had an adolescent pregnancy by handling missing data with several different approaches. Results indicate that many of the independent variables in the model vary in whether they are, or are not, statistically significant in predicting the log odds of a woman having a teen pregnancy, and in the ranking …

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Some General Guidelines For Choosing Missing Data Handling Methods In Educational Research, Jehanzeb R. Cheema Nov 2014

Some General Guidelines For Choosing Missing Data Handling Methods In Educational Research, Jehanzeb R. Cheema

Journal of Modern Applied Statistical Methods

The effect of a number of factors, such as the choice of analytical method, the handling method for missing data, sample size, and proportion of missing data, were examined to evaluate the effect of missing data treatment on accuracy of estimation. A methodological approach involving simulated data was adopted. One outcome of the statistical analyses undertaken in this study is the formulation of easy-to-implement guidelines for educational researchers that allows one to choose one of the following factors when all others are given: sample size, proportion of missing data in the sample, method of analysis, and missing data handling method.

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A Comparison Of Methods For Group Prediction With High Dimensional Data, Holmes Finch Nov 2014

A Comparison Of Methods For Group Prediction With High Dimensional Data, Holmes Finch

Journal of Modern Applied Statistical Methods

High dimensional data is the situation in which the number of variables included in an analysis approaches or exceeds the sample size. In the context of group classification, researchers are typically interested in finding a model that can be used to correctly place an individual into their appropriate group; e.g. correctly diagnose individuals with depression. However, when the size of the training sample is small and the number of predictors used to differentiate the groups is larger, standard approaches such as discriminant analysis may not work well. In order to address this issue, statisticians have developed a number of tools …

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Robust Winsorized Shrinkage Estimators For Linear Regression Model, Nileshkumar H. Jadhav, D N. Kashid Nov 2014

Robust Winsorized Shrinkage Estimators For Linear Regression Model, Nileshkumar H. Jadhav, D N. Kashid

Journal of Modern Applied Statistical Methods

In multiple linear regression, the ordinary least squares estimator is very sensitive to the presence of multicollinearity and outliers in the response variable. To handle these problems in the data, Winsorized shrinkage estimators are proposed and the performance of these estimators is evaluated through mean square error sense.

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Pairwise Comparison In Repeated Measures, I.C.A. Oyeka, C. C. Nnanatu Nov 2014

Pairwise Comparison In Repeated Measures, I.C.A. Oyeka, C. C. Nnanatu

Journal of Modern Applied Statistical Methods

Sometimes a random sample of subjects or patients may be exposed to a battery of diagnostic tests or medication over time and interest is on determining whether there is progressive remission of condition, disease or symptom. Also perhaps early in a program or experiment, subjects or candidates may be required to significantly improve in their performance rates at the current trial relative to an immediately preceding trial, otherwise they may have to withdraw from or drop out. The research interest would then be to determine some critical minimum marginal success rate to guide the management in decision making as well …

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Retained-Components Factor Transformation: Factor Loadings And Factor Score Predictors In The Column Space Of Retained Components, André Beauducel, Frank Spohn Nov 2014

Retained-Components Factor Transformation: Factor Loadings And Factor Score Predictors In The Column Space Of Retained Components, André Beauducel, Frank Spohn

Journal of Modern Applied Statistical Methods

Factor loadings optimally account for the non-diagonal elements of the covariance matrix of observed variables. Principal component analysis leads to components accounting for a maximum of the variance of the observed variables. Retained-components factor transformation is proposed in order to combine the advantages of factor analysis and principal component analysis.

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