Social and Behavioral Sciences Commons^™

Laser Ablation-Inductively Coupled Plasma-Mass Spectrometry Analysis Of Lower Pecos Rock Paints And Possible Pigment Sources, Jon Russ, Kaixuan Bu, Jeff Hamrick, James V. Cizdziel

Master of Science in Analytics (MSAN) Faculty Research

Chemical analyses of prehistoric rock paints from the Lower Pecos Region of southwestern Texas were undertaken using laser ablation-inductively coupled plasma-mass spectrometry. This technique allowed us to measure the chemical composition of the paint pigments with minimal interference from a natural rock coating that completely covers the ancient paints. We also analyzed samples representing potential sources of paint pigments, including iron-rich sandstones and quartzite from the study area and ten ochre samples from Arizona. Cluster analysis, principle component analysis and bivariate plots were used to compare the chemical compositions of the paint and pigment sources. The results indicate that limonite …

Prosody-Based Query-By-Example Spoken Utterance Retrieval, Steven D. Werner, Nigel G. Ward

COURI Symposium Abstracts, Summer 2012

Current spoken dialogue retrieval systems are almost entirely lexically based, using automatic transcription by imperfect speech recognition technology. Once audio is reduced to text, little more than existing text search methods are used to retrieve results. However, spoken dialogue contains rich latent prosodic information about dialogue activities - such as agreeing, arguing, deciding, planning, storytelling, showing surprise - and this extra information can often be relevant to the searchers aims. Searching for similar speech acts rather then similar words enables similar contextual results, returning points where the speaker had the same sentiment during a topic. Previous research yielded 76 dimensions …

Quantitative Reasoning And Sustainability, Corrine H. Taylor

Numeracy

Quantitative Reasoning and Sustainability have much in common. Both are complex, nuanced concepts with rather long definitions that have evolved over time. Both subjects are “everybody’s business” on college campuses, and must be approached in courses across the curriculum, not merely in one course on QR or in one course on Sustainability. The growing, wider presence of both QR and Sustainability on college campuses is due to their applicability in individuals’ personal, professional, and public lives. Moreover, QR and Sustainability support and enhance each other in and out of the classroom. Sustainability is an important, authentic, relevant context for lessons …

Near-Real-Time Global Biomass Burning Emissions Product From Geostationary Satellite Constellation, Xiaoyang Zhang, Shobha Kondragunta, Jessica Ram, Christopher Schmidt, Ho-Chung Huang

GSCE Faculty Publications

Near-real-time estimates of biomass burning emissions are crucial for air quality monitoring and forecasting. We present here the first near-real-time global biomass burning emission product from geostationary satellites (GBBEP-Geo) produced from satellite-derived fire radiative power (FRP) for individual fire pixels. Specifically, the FRP is retrieved using WF_ABBA V65 (wildfire automated biomass burning algorithm) from a network of multiple geostationary satellites. The network consists of two Geostationary Operational Environmental Satellites (GOES) which are operated by the National Oceanic and Atmospheric Administration, the Meteosat second-generation satellites (Meteosat-09) operated by the European Organisation for the Exploitation of Meteorological Satellites, and the Multifunctional Transport …

The Latent Maximum Entropy Principle, Shaojun Wang, Dale Schuurmans, Yunxin Zhao

Kno.e.sis Publications

We present an extension to Jaynes’ maximum entropy principle that incorporates latent variables. The principle of latent maximum entropy we propose is different from both Jaynes’ maximum entropy principle and maximum likelihood estimation, but can yield better estimates in the presence of hidden variables and limited training data. We first show that solving for a latent maximum entropy model poses a hard nonlinear constrained optimization problem in general. However, we then show that feasible solutions to this problem can be obtained efficiently for the special case of log-linear models---which forms the basis for an efficient approximation to the latent maximum …

What Kind Of #Communication Is Twitter? A Psycholinguistic Perspective On Communication In Twitter For The Purpose Of Emergency Coordination, Hemant Purohit, Andrew Hampton, Valerie L. Shalin, Amit P. Sheth, John Flach

Kno.e.sis Publications

The present research aims to detect coordinated citizen response within social media traffic to assist emergency response. We use domain-independent linguistic properties as the first step in narrowing the candidate set of messages for domain-dependent and computationally intensive analysis.

Peer Influence Of Non-Industrial Private Forest Owners In The Western Upper Peninsula Of Michigan, Jillian R. Schubert, Audrey L. Mayer

College of Forest Resources and Environmental Science Publications

Understanding how non-industrial private forest (NIPF) owners gain and share information regarding the management of their property is very important to policy makers, yet our knowledge regarding how and to what degree this information flows over privately owned landscapes is limited. The work described here seeks to address this shortfall. Widely administered surveys with close-ended questions may not adequately capture this information flow within NIPF owner communities. This study used open-ended questions in interviews of clusters of NIPF owners to determine whether and to what extent owners influence each other directly (through conversations or referrals to sources of advice) or …

Bayesian Approaches To Assessing Architecture And Stopping Rule, Joseph W. Houpt, Andrew Heathcote, Ami Eidels, J. T. Townsend

Psychology Faculty Publications

Much of scientific psychology and cognitive science can be viewed as a search to understand the mechanisms and dynamics of perception, thought and action. Two processing attributes of particular interest to psychologists are the architecture, or temporal relationships between sub-processes of the system, and the stopping rule, which dictates how many of the sub-processes must be completed for the system to finish. The Survivor Interaction Contrast (SIC) is a powerful tool for assessing the architecture and stopping rule of a mental process model. Thus far, statistical analysis of the SIC has been limited to null-hypothesis- significance tests. In this talk …

Old Dominion University Climate Change And Sea Level Rise Initiative, Summer 2012, Larry P. Atkinson (Editor)

CCSLRI Newsletters

Summer 2012 Newsletter of the Old Dominion University Climate Change and Sea Level Rise Intiative

Iowa Academy Of Science: The New Bulletin, V08n2, Summer 2012, Iowa Academy Of Science

New Bulletin

Inside This Issue:

--Message from the Executive Director

--Iowa Science Teaching Section Elections

--Journal of the Iowa Academy of Science

--Announcements, Events & Deadlines

--Iowa Academy of Science Saylorville Lake Summer Speakers Series

--REAP-CEP Funds Project WET Preservice Workshops

Threshold Effect Of Inflation On Economic Growth In Nigeria, Sani Bawa, Abdullahi S. Ismaila

CBN Journal of Applied Statistics (JAS)

It is widely believed that price stability promote long-term economic growth, whereas high inflation is inimical to growth. This paper utilized a quarterly time series data for the period 1981 – 2009 to estimate a threshold level of inflation for Nigeria. Using a threshold regression model developed by Khan and Senhadji (2001), the study estimated a threshold inflation level of 13 per cent for Nigeria. Below the threshold level, inflation has a mild effect on economic activities, while above it, the magnitude of the negative effect of inflation on growth was high. The negative and significant relationship between inflation and …

Testing The Weak-Form Efficiency Market Hypothesis: Evidence From Nigerian Stock Market, Gimba K. Victor

CBN Journal of Applied Statistics (JAS)

In recent years, the Nigerian Stock Exchange (NSE) has witnessed an unprecedented growth in market capitalization, membership, value and volume traded. By December 2007, the All Share Index has grown massively over 57,990.2 from 1113.4 in January 1993. This rising interest in investment opportunities in the NSE raises questions about its efficiency. This paper tests the Weak-form Efficient Market Hypothesis of the NSE by hypothesizing Normal distribution and Random walk of the return series. Daily and weekly All Share Index and five most traded and oldest bank stocks of the NSE are examined from January 2007 to December 2009 for …

Simple Sequential Procedure For Modeling Of Item Non-Response In Econometric Analysis: Application To Cv Survey Data, William M. Fonta, Elias T. Ayuk, Eme H. Ichoku

CBN Journal of Applied Statistics (JAS)

Item non-response occurs when respondents fail to provide answers to some or all of the questions posed during survey interviews. The standard procedure is to exclude such responses from the econometric analysis. This may be appropriate if the sample included does not differ significantly from those excluded in the analysis. If this is not the case, the econometric analyst faces a sample selection bias problem. The aim of this paper is to provide further evidence using a simple sequential procedure to deal with the problem when using non-randomly selected samples in social science research. The procedure entails different levels of …

Reactions Of Stock Market To Monetary Policy Shocks During The Global Financial Crisis: The Nigerian Case, Aliyu Shehu U.R.

CBN Journal of Applied Statistics (JAS)

This paper seeks to assess the reactions of Nigeria’s stock market to monetary policy innovations during the period of global financial crisis on the basis of monthly data over the period January, 2007 to August, 2011. In particular, stock market return was regressed against major monetary policy instruments; money stock (M1, and M2) and monetary policy rate (MPR). The theoretical basis for the paper stems from the works of new classical macroeconomics and rational expectation hypothesis (REH). Lucas (1972) postulated that only the unanticipated monetary shock influences real economic activity. Using the GARCH by developed Engle and Bollerslev (1986) and …

A Business Cycle Model For Nigeria, Alege O. Philip

CBN Journal of Applied Statistics (JAS)

The current global financial meltdown draws, once again, attention to the existence of business cycle fluctuations. Experts are of the view that the ongoing crisis is far deeper than the great depression of the 1930s. It should be recalled that the Keynes and Keynesianism was a response to that depression. Therefore, the objective of this paper is to develop a small business cycle model in the spirit of Dynamic Stochastic General Equilibrium (DSGE) model for Nigeria designed to examine the sources of business cycles, and use the model for policy analysis. This paper considers the implications of three policy shocks …

Enhancing Data Generation For National Development In Nigeria: Institutional And Structural Issues1, Olu Ajakaiye

CBN Journal of Applied Statistics (JAS)

In this presentation, attention is focused on data generation for the purposes of reasoning, discussing and calculating the status, process and prospects of economic development. Economic development has also been defined in various ways. Again for the present purposes, economic development will be conceived as the process of economic growth and structural transformation (Ajakaiye, 2002). Clearly, data, as a gathered body of facts about the economy, is a basic requirement in the process of economic growth and transformation. Foremost, facts about the economy are necessary in order to appreciate the current state of the economy in terms of growth and …

Fiscal Federalism In Nigeria: A Cluster Analysis Of Revenue Allocation To States And Local Government Areas, 1999 – 2008, Sam O. Olofin, Olusanya E. Olubusoye, Bello K. Ajide, Salisu A. Afees, Olalekan S. Akinola

CBN Journal of Applied Statistics (JAS)

Existing literature on revenue allocation in Nigeria shows more concern for merits and demerits of sharing principles and /or formulae. Several alternatives have been proposed and will continue to be developed to address the unending agitations from beneficiaries. Contrary however, this paper analyzes two items of revenue (statutory and VAT) shared among the states including FCT and all the Local Government Areas (LGAs) between May 1999 and December 2008. The net statutory allocation after deductions was also analyzed. Using Cluster analysis to evaluate revenue allocation in Nigeria, States and LGAs exhibiting similarity in revenue received were grouped and their common …

Food Fight: A Case Study Of The Community Food Security Coalition’S Campaign For A Fair Farm Bill, Marni Salmon

Capstone Collection

The farm bill is an all-encompassing piece of legislation that is reauthorized approximately every five years and establishes federal policy for everything from farm subsidies and crop insurance to energy, conservation, food stamps and school lunches. The current law expires at the end of September 2012. Reauthorization of the farm bill represents the single largest opportunity to reform the policies that shape food systems in the United States. The Community Food Security Coalition (CFSC) is campaigning to improve access to healthy food by increasing links with family farmers and to strengthen local and regional food systems. This case study traces …

Effects Of Leadership And Trauma On Grassroots Community Development In Post-Conflict/Genocide Societies: A Rwandan Case Study, Bryna C. Ramsey

Capstone Collection

This research paper is an analysis of a grassroots, agricultural project carried out from 2010 to 2011 in Gitarama Cell, a rural community in Rwanda, East Africa, during my United States Peace Corps Volunteer service (2009-2011). The project began as the Twizere Agriculture Club at Gitarama Primary School. The goal of the club was to increase food security among community members through rabbit and chicken husbandry, and the study of such agriculture techniques as composting, double digging, and the establishment of microgardens.

Despite the acknowledged need for this club, the Twizere Agriculture Club project met multiple constraints that affected its …

Exploring The Impact Of Knowledge And Social Environment On Influenza Prevention And Transmission In Midwestern United States High School Students, William L. Romine, Tanvi Banerjee, William S. Barrow, William R. Folk

Kno.e.sis Publications

We used data from a convenience sample of 410 Midwestern United States students from six secondary schools to develop parsimonious models for explaining and predicting precautions and illness related to influenza. Scores for knowledge and perceptions were obtained using two-parameter Item Response Theory (IRT) models. Relationships between outcome variables and predictors were verified using Pearson and Spearman correlations, and nested [student within school] fixed effects multinomial logistic regression models were specified from these using Akaike’s Information Criterion (AIC). Neural network models were then formulated as classifiers using 10-fold cross validation to predict precautions and illness. Perceived barriers against taking precautions …

Water Security And Management In Burkina Faso: How Socio-Political And Cultural Complexities Affect Development, Megan M. Godfrey

Independent Study Project (ISP) Collection

Burkina Faso is currently ranked as the 175^th poorest country out of 177. In addition to over 50% of the population living in poverty, Burkina Faso is challenged with droughts and lack of adequate water system infrastructure. The agricultural nation is dependent on water to grow and harvest crops, as almost 80% of the farming done in the nation is for sustenance. This paper will address the role culture plays in water systems; how gender relations, and cultural practices influence water management and sanitation systems. In addition, this paper will examine how current systems in place are changing and …

Finding Bursty Topics From Microblogs, Qiming Diao, Jing Jiang, Feida Zhu, Ee Peng Lim

Research Collection School Of Computing and Information Systems

Microblogs such as Twitter reflect the general public’s reactions to major events. Bursty topics from microblogs reveal what events have attracted the most online attention. Although bursty event detection from text streams has been studied before, previous work may not be suitable for microblogs because compared with other text streams such as news articles and scientific publications, microblog posts are particularly diverse and noisy. To find topics that have bursty patterns on microblogs, we propose a topic model that simultaneousy captures two observations: (1) posts published around the same time are more likely to have the same topic, and (2) …

Detecting Anomalous Twitter Users By Extreme Group Behaviors, Hanbo Dai, Ee-Peng Lim, Feida Zhu, Hwee Hwa Pang

Research Collection School Of Computing and Information Systems

Twitter has enjoyed tremendous popularity in the recent years. To help categorizing and search tweets, Twitter users assign hashtags to their tweets. Given that hashtag assignment is the primary way to semantically categorizing and search tweets, it is highly susceptible to abuse by spammers and other anomalous users [1]. Popular hashtags such as #Obama and #ladygaga could be hijacked by having them added to unrelated tweets with the intent of misleading many other users or promoting specific agenda to the users. The users performing this act are known as the hashtag hijackers. As the hijackers usually abuse common sets of …

Topic Discovery From Tweet Replies, Bingtian Dai, Ee Peng Lim, Philips Kokoh Prasetyo

Research Collection School Of Computing and Information Systems

Twitter is a popular online social information network service which allows people to read and post messages up to 140 characters, known as “tweets”. In this paper, we focus on the tweets between pairs of individuals, i.e., the tweet replies, and propose a generative model to discover topics among groups of twitter users. Our model has then been evaluated with a tweet dataset to show its effectiveness.

Identifying And Attributing Similar Traces With Greatest Common Factor Analysis, Fred Cohen

Journal of Digital Forensics, Security and Law

This paper presents an algorithm for comparing large numbers of traces to each other and identifying and presenting groups of traces with similar features. It is applied to forensic analysis in which groups of similar traces are automatically identified and presented so that attribution and other related claims may be asserted, and independently confirmed or refuted. The approach of this paper is to identify an approximate algorithm that will find a large subset of greatest common factor similar groups of arbitrary factors in far less time and space than an exact algorithm using examiner-provided selection criteria for factor definition.

Nevada Interagency Volunteer Program: Helping Hands Across Public Lands: Phase Ii: Period Covering April 1, 2012 To June 30, 2012, Margaret N. Rees

Get Outdoors Nevada

• The number of records in the volunteer database increased by 14.4% over the last quarter. The database now contains 8,087 records.
• Results show an average of 956 visits per month, and an average of 3,015 pages viewed per month.
• Get Outdoors Nevada supplied 11 volunteer events in a variety of ways. These events utilized 388 volunteers who contributed approximately 1,351 hours of service.
• The team continues planning an alternative bus tour.
• The team is negotiating a media plan, to be rolled out in July.
• The IVP team has stated planning for the annual volunteer recognition banquet.
• One volunteer training was …

Iexplore: A Provenance-Based Application For Exploring Biomedical Knowledge, Vinh Nguyen, Olivier Bodenreider, Thomas Rindflesch, Amit P. Sheth

Kno.e.sis Publications

No abstract provided.

Let Us Buy You Coffee!, Nevada Institute For Renewable Energy Commercialization (Nirec)

Nevada Newsflash

NIREC is a nonprofit organization that helps Nevada's entrepreneurs to build their businesses. We'd like to better understand the biggest challenges that currently face entrepreneurs, so that we can work on fixing them more effectively.

W3c Semantic Sensor Networks: Ontologies, Applications, And Future Directions, Cory Andrew Henson

Kno.e.sis Publications

Plenary Talk discussing the W3C Semantic Sensor Network, including the ontology, applications, and future directions.

The Effects Of Diagrams And Relational Complexity On User Performance In Conditional Probability Problems In A Non-Learning Context, Vincent J. Kellen

College of Computing and Digital Media Dissertations

Many disciplines in everyday life depend on improved performance in conditional probability problems. Most adults struggle with conditional probability problems and several prior studies have shown participant accuracy is less than 50%. This study examined user performance when aided with computer-generated Venn and Euler type diagrams in a non-learning context. Despite the prevalence of research into diagrams and extensive research into conditional probability problem solving, this study is one of the only studies to apply theories of working memory to predict user performance in conditional probability problems with diagrams. Following relational complexity theory, this study manipulated problem complexity in computer …