Social and Behavioral Sciences Commons^™

Maximizing Multifaceted Network Influence, Yuchen Li, Ju Fan, George V. Ovchinnikov, Panagiotis Karras

Research Collection School Of Computing and Information Systems

An information dissemination campaign is often multifaceted, involving several facets or pieces of information disseminating from different sources. The question then arises, how should we assign such pieces to eligible sources so as to achieve the best viral dissemination results? Past research has studied the problem of Influence Maximization (IM), which is to select a set of k promoters that maximizes the expected reach of a message over a network. However, in this classical IM problem, each promoter spreads out the same unitary piece of information. In this paper, we propose the Optimal Influential Pieces Assignment (OIPA) problem, which is …

Latent Choice Models To Account For Misclassification Errors In Discrete Transportation Data, Lacramioara Elena Balan

Civil & Environmental Engineering Theses & Dissertations

One of the most fundamental tasks when it comes to analyzing data using statistical methods is to understand the relationship between the explanatory variables and the outcome. Misclassification of explanatory variables is a common risk when using statistical modeling techniques. In this dissertation, we define ‘misclassification,’ as a response that is reported or recorded in the wrong category; for example, a variable is registered as a one when it should have the value zero. Misclassification can easily happen in any data; for example, in an interview setting where the respondent misunderstands the question or the interviewer checks the wrong box. …

Disparities In Sentencing: The Impact Of Race, Gender And Mental Health, Briana Paige

Sociology & Criminal Justice Theses & Dissertations

The purpose of this study is to examine the effect that race and mental health play on sentence length in the United States. Mentally ill people are gradually being confined in prisons across the United States and there is an absence of literature that looks at the interaction of race and mental health in regards to sentencing. The focal concerns perspective provides the theoretical framework that guides this study. Multiple linear regressions were used to examine both state and federal prison inmates to examine the effect race, mental health and other extra-legal factors play on sentence length. Results show that …

The Messy Nuclear Landscape: Using Fuzzy Cognitive Mapping To Explore Plausible Nuclear Disarmament Scenarios, Ryan M. Nixon

Graduate Program in International Studies Theses & Dissertations

Nuclear weapons are seemingly permanent fixtures in international relations. Although nuclear abolitionists and actors within the Nonproliferation Treaty (NPT) and the International Atomic Energy Agency (IAEA) have taken significant steps towards designing a world without nuclear weapons, the longstanding realist logic that suggests nuclear disarmament is nonviable has born more fruit. On the other hand, some proponents of realism have suggested global nuclear disarmament is feasible, given that certain international instabilities are stabilized and that special care is taken during diplomatic negotiations. This presents an opportunity to test these predictions using fuzzy cognitive mapping, a computational modeling technique that identifies …

Exploring And Visualizing Household Electricity Consumption Patterns In Singapore: A Geospatial Analytics Approach, Yong Ying Tan, Tin Seong Kam

Research Collection School Of Computing and Information Systems

Despite being a small country-state, electricity consumption in Singa-pore is said to be non-homogeneous, as exploratory data analysis showed that the distributions of electricity consumption differ across and within administrative boundaries and dwelling types. Local indicators of spatial association (LISA) were calculated for public housing postal codes using June 2016 data to discover local clusters of households based on electricity consumption patterns. A detailed walkthrough of the analytical process is outlined to describe the R packages and framework used in the R environment. The LISA results are visualized on three levels: country level, regional level and planning subzone level. At …

Traffic Signal Consensus Control, Gerardo Lafferriere

TREC Final Reports

We introduce a model for traffic signal management based on network consensus control principles. The underlying principle in a consensus approach is that traffic signal cycles are adjusted in a distributed way so as to achieve desirable ratios of queue lengths throughout the street network. This approach tends to reduce traffic congestion due to queue saturation at any particular city block and it appears less susceptible to congestion due to unexpected traffic loads on the street grid. We developed simulation tools based on the MATLAB computing environment to analyze the use of the mathematical consensus approach to manage the signal …

A Decentralized Network Consensus Control Approach For Urban Traffic Signal Optimization, Gerardo Lafferriere

TREC Project Briefs

Automobile traffic congestion in urban areas is a worsening problem that comes with significant economic and social costs. This report offers a new approach to urban congestion management through traffic signal control.

A Framework To Reveal Clandestine Organ Trafficking In The Dark Web And Beyond, Michael P. Heinl, Bo Yu, Duminda Wijesekera

Journal of Digital Forensics, Security and Law

Due to the scarcity of transplantable organs, patients have to wait on long lists for many years to get a matching kidney. This scarcity has created an illicit market place for wealthy recipients to avoid long waiting times. Brokers arrange such organ transplants and collect most of the payment that is sometimes channeled to fund other illicit activities. In order to collect and disburse payments, they often resort to money laundering-like schemes of money transfers. As the low-cost Internet arrives in some of the affected countries, social media and the dark web are used to illegally trade human organs. This …

Effect Of Locality Recognition On Aggressive Behavior In The Red Swamp Crayfish, Procambarus Clarkii, Brett K. Muramoto, Tyler Farley

Seaver College Research And Scholarly Achievement Symposium

Climate change affects habitat globally, facilitating the expansion and rapid proliferation of invasive species which damage the newly invaded ecosystem. Intraspecific aggression among an invasive species is an important focus in ecological studies because it can contribute to their overall success as invaders. The crayfish species, Procambarus clarkii, inhabits freshwater streams in the Santa Monica Mountains (Los Angeles, CA) as an aggressive invasive predator. These invasive crayfish are well known for their highly aggressive interactions with conspecifics. It has been shown that body size, temperature, sex, and level of hunger influence their levels of aggression. However, there is a …

Using Residential Location To Assess The Environmental Value-Action Gap Of Students At James Madison University, Emma Martin

James Madison Undergraduate Research Journal (JMURJ)

This study focuses on the environmental value-action gap of students at James Madison University (JMU) in Harrisonburg, Virginia. An environmental value-action gap occurs when a person has pro-environmental beliefs but does not have congruent actions. Over 1,000 JMU students completed a survey of their residence location, environmental values, and environmental actions. Students’ preservation and utilization values were assessed using a 2-Dimensional Model of Ecological Values (2-MEV), and their frequency of environmental actions was assessed through a series of Likert-scaled statements. It was hypothesized that any value-action gap would be wider in students who resided in off-campus housing compared to students …

Jmasm 51: Bayesian Reliability Analysis Of Binomial Model – Application To Success/Failure Data, M. Tanwir Akhtar, Athar Ali Khan

Journal of Modern Applied Statistical Methods

Reliability data are generated in the form of success/failure. An attempt was made to model such type of data using binomial distribution in the Bayesian paradigm. For fitting the Bayesian model both analytic and simulation techniques are used. Laplace approximation was implemented for approximating posterior densities of the model parameters. Parallel simulation tools were implemented with an extensive use of R and JAGS. R and JAGS code are developed and provided. Real data sets are used for the purpose of illustration.

Nature, Identity, And Pastoralism: Changing Landscapes And Shifting Paradigms In The Mongolian Taiga, Jessica Vinson

Theses and Dissertations

The traditional environment of pastoralism is under assault from land degradation, rangeland conservation, and development paradigms that alter the everyday lives of Tsataan Dukha reindeer herders in the Mongolian taiga. This paper seeks to analyze the ways in which identity is shaped through experiences of or relationships with particular nonhuman places and beings, and how the Tsataan Dukha renegotiate their individual and collective identities with changing local landscapes that exert considerable pressures upon the social, political, and economic organization of Dukha life. Senses of place and of space are intimately tied to a sense of self, so disruption in environmental …

Immersive Virtual Reality Attacks And The Human Joystick, Peter Casey, Ibrahim Baggili, Ananya Yarramreddy

Electrical & Computer Engineering and Computer Science Faculty Publications

This is one of the first accounts for the security analysis of consumer immersive Virtual Reality (VR) systems. This work breaks new ground, coins new terms, and constructs proof of concept implementations of attacks related to immersive VR. Our work used the two most widely adopted immersive VR systems, the HTC Vive, and the Oculus Rift. More specifically, we were able to create attacks that can potentially disorient users, turn their Head Mounted Display (HMD) camera on without their knowledge, overlay images in their field of vision, and modify VR environmental factors that force them into hitting physical objects and …

Ecological Determinants Of Respiratory Health: Examining Associations Between Asthma Emergency Department Visits, Diesel Particulate Matter, And Public Parks And Open Space In Los Angeles, California, Jason A. Douglas, Reginald S. Archer, Serena E. Alexander

Health Sciences and Kinesiology Faculty Articles

Los Angeles County (LAC) low-income communities of color experience uneven asthma rates, evidenced by asthma emergency department visits (AEDV). This has partly been attributed to inequitable exposure to diesel particulate matter (DPM). Promisingly, public parks and open space (PPOS) contribute to DPM mitigation. However, low-income communities of color with limited access to PPOS may be deprived of associated public health benefits. Therefore, this novel study investigates the AEDV, DPM, PPOS nexus to address this public health dilemma and inform public policy in at-risk communities. Optimized Hotspot Analysis was used to examine geographic clustering of AEDVs, DPM, and PPOS at the …

A Random Forests Approach To Assess Determinants Of Central Bank Independence, Maddalena Cavicchioli, Angeliki Papana, Ariadni Papana Dagiasis, Barbara Pistoresi

Journal of Modern Applied Statistical Methods

A non-parametric efficient statistical method, Random Forests, is implemented for the selection of the determinants of Central Bank Independence (CBI) among a large database of economic, political, and institutional variables for OECD countries. It permits ranking all the determinants based on their importance in respect to the CBI and does not impose a priori assumptions on potential nonlinear relationships in the data. Collinearity issues are resolved, because correlated variables can be simultaneously considered.

Proceedings Of The Cuny Games Conference 5.0, Robert O. Duncan, Joe Bisz, Julie Cassidy, Kathleen Offenholley, Carolyn Stallard, Deborah Sturm, Anders A. Wallace

Publications and Research

The CUNY Games Network is an organization dedicated to encouraging research, scholarship and teaching in the developing field of games-based learning. We connect educators from every campus and discipline at CUNY and beyond who are interested in digital and non-digital games, simulations, and other forms of interactive teaching and inquiry-based learning. The CUNY Games Conference distills its best cutting-edge interactive presentations into a two-day event to promote and discuss game-based pedagogies in higher education, focusing particularly on non-digital learning activities that faculty can use in the classroom every day. The conference will include workshops lead by CUNY Games Organizers on …

Maximum Likelihood Estimation For The Generalized Pareto Distribution And Goodness-Of-Fit Test With Censored Data, Minh H. Pham, Chris Tsokos, Bong-Jin Choi

Journal of Modern Applied Statistical Methods

The generalized Pareto distribution (GPD) is a flexible parametric model commonly used in financial modeling. Maximum likelihood estimation (MLE) of the GPD was proposed by Grimshaw (1993). Maximum likelihood estimation of the GPD for censored data is developed, and a goodness-of-fit test is constructed to verify an MLE algorithm in R and to support the model-validation step. The algorithms were composed in R. Grimshaw’s algorithm outperforms functions available in the R package ‘gPdtest’. A simulation study showed the MLE method for censored data and the goodness-of-fit test are both reliable.

An Imputation Approach To Developing Alternative Futures Of Country Conflict, Zachary J. Kane

Theses and Dissertations

Understanding what causes countries to be in a state of violent conflict is of vital importance to developing realistic national strategies on both a regional and global scale. Given these causes, it is important to understand the effects of missing data, how to impute that data, and the interrelation between data elements. Utilizing both open source data and previously generated equations that predict a country’s likelihood to transition conflict statuses, this research projects data into the future and predicts each nations’ subsequent conflict statuses. Future data is populated using a novel approach inspired by stochastic regression imputation. The replicated future …

Climatology, Variability, And Return Periods Of Tropical Cyclone Strikes In The Northeastern And Central Pacific Basins, Nicholas S. Grondin

LSU Master's Theses

Tropical cyclones (TCs) are among the most destructive meteorological phenomena and impact the lives of people who reside along the coast. The American Pacific Coastline borders the second most active TC development region in the world, the northeastern Pacific (NE Pac) basin. This region, along with the Central Pacific (C Pac)-bordering Hawaii is home to a growing population and cities engaged in a variety of economic activities, most prominently agriculture, fishing, and tourism. This study analyzes fifty-two (1966-2017) years of NE Pac and C Pac TCs through applying track data from the National Hurricane Center’s HURDAT2 and a TC size …

Scientia: Spring 2019

Scientia

From the Dean; The Vatican, the U.N. and the Scientist; Physics Studio; Student Excitement Propels Neuroscience Major; In Search of Awe; 16th Annual Science, Technology and Mathematics Undergraduate Research Showcase; Lab Notes; Diversity Advocate Give Voice to the Underrpresented.

Vulnerability Of Industrial Facilities In The Lower Mississippi River Industrial Corridor To Relative Sea Level Rise And Tropical Cyclone Storm Surge, Joseph Blake Harris

LSU Doctoral Dissertations

Relative sea level rise (RSLR) and tropical cyclone-induced storm surge are major threats to the Lower Mississippi River Industrial Corridor (LMRIC) which has approximately 120 industrial complexes located within the corridor. Spatial interpolation methods were applied to the 2004 National Oceanic and Atmospheric published Technical Report #50 subsidence dataset and cross-validation techniques were used to determine the accuracy of each method. Digital elevation models (DEMs) were created for the years 2025, 2050, and 2075, based on these predictive surface of subsidence rates. Future DEMs were utilized to model RSLR and determine the extent of storm surge on the LMRIC by …

Examining Medline Search Query Reproducibility And Resulting Variation In Search Results, C. Sean Burns, Robert M. Shapiro Ii, Tyler Nix, Jeffrey T. Huber

Information Science Faculty Publications

The MEDLINE database is publicly available through the National Library of Medicine’s PubMed but the data file itself is also licensed to a number of vendors, who may offer their versions to institutional and other parties as part of a database platform. These vendors provide their own interface to the MEDLINE file and offer other technologies that attempt to make their version useful to subscribers. However, little is known about how vendor platforms ingest and interact with MEDLINE data files, nor how these changes influence the construction of search queries and the results they produce. This poster presents a longitudinal …

The Case For A Mandatory Renewable Portfolio Standard In Virginia: A Case Study Examining Virginia’S Potential For A Mandatory Renewable Portfolio Standard By Comparing Virginia To Maryland And North Carolina, Rebecca Wescott

William & Mary Environmental Law and Policy Review

Since the early 1980s, states have utilized Renewable Energy Portfolio Standards (“RPSs”) as policy mechanisms to “promote broader investment in renewable energy without requiring passage of a comprehensive energy policy measure that includes a pricing mechanism for carbon.” RPS policies can be drafted in one of two ways: (1) as a mandatory RPS, a legal mandate on what percentage of a state’s power portfolio must come from specific eligible renewable energy sources by a specific date in the future, or (2) as a non-binding or voluntary RPS, a policy goal that recommends that a certain percentage of a state’s power …

Redescription Of Anaschisma (Temnospondyli: Metoposauridae) From The Late Triassic Of Wyoming And The Phylogeny Of The Metoposauridae, Bryan M. Gee, William G. Parker, Adam D. Marsh

United States National Park Service: Publications

Metoposaurids are non-marine temnospondyls that are among the most common constituents of Late Triassic deposits, but despite their abundance, the evolutionary relationships of the group are poorly resolved and have not been fully addressed with modern phylogenetic methods. The genus Anaschisma is one of a number of poorly resolved metoposaurid taxa and was erected to describe two species from the Popo Agie Formation (Carnian) in Wyoming: Anaschisma browni and Anaschisma brachygnatha. Since being named, the genus has been repeatedly synonymized and separated with other taxa in the context of broader revisions of the Metoposauridae. At present, Anaschisma is considered …

Bayesian Approximation Techniques For Scale Parameter Of Laplace Distribution, Uzma Jan, S. P. Ahmad

Journal of Modern Applied Statistical Methods

The Bayesian estimation of the scale parameter of a Laplace Distribution is obtained using two approximation techniques, like Normal approximation and Tierney and Kadane (T-K) approximation, under different informative priors.

Flood-Inundation Maps Of The Meramec River From Eureka To Arnold, Missouri, 2018, Benjamin J. Dietsch, Kellan R. Strauch

United States Geological Survey: Water Reports and Publications

Document abstract

Libraries of digital flood-inundation maps that spanned a combined 37.2-mile reach of the Meramec River that extended upstream from Eureka, Missouri, to downstream near the confluence of the Meramec and Mississippi Rivers were created by the U.S. Geological Survey (USGS) in cooperation with the United States Army Corps of Engineers, Metropolitan St. Louis Sewer District, Missouri Department of Transportation, Missouri American Water, Federal Emergency Management Agency Region 7, and the cities of Pacific, Eureka, Wildwood, and Arnold. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science website at https://water.usgs.gov/osw/flood_inundation/, depict estimates of …

Can One Test Fit All? Responses To The Article “Striving For Simple But Effective Advice For Comparing The Central Tendency Of Two Populations” (Ruxton & Neuhäuser, 2018), Diep Nguyen, Eun Sook Kim, Yi-Hsin Chen

Journal of Modern Applied Statistical Methods

Responses to suggestions made by Ruxton & Neuhäuser (2018) regarding Nguyen et al. (2016) are given.

On The Conditional And Unconditional Type I Error Rates And Power Of Tests In Linear Models With Heteroscedastic Errors, Patrick J. Rosopa, Alice M. Brawley, Theresa P. Atkinson, Stephen A. Robertson

Journal of Modern Applied Statistical Methods

Preliminary tests for homoscedasticity may be unnecessary in general linear models. Based on Monte Carlo simulations, results suggest that when testing for differences between independent slopes, the unconditional use of weighted least squares regression and HC4 regression performed the best across a wide range of conditions.

Φ-Divergence Loss-Based Artificial Neural Network, R. L. Salamwade, D. M. Sakate, S. K. Mathur

Journal of Modern Applied Statistical Methods

Artificial Neural Networks (ANNs) can fit non-linear functions and recognize patterns better than several standard techniques. Performance of ANNs is measured by using loss functions. Phi-divergence estimator is generalization of maximum likelihood estimator and it possesses all its properties. A neural network is proposed which is trained using phi-divergence loss.

Robust Ancova, Curvature, And The Curse Of Dimensionality, Rand Wilcox

Journal of Modern Applied Statistical Methods

There is a substantial collection of robust analysis of covariance (ANCOVA) methods that effectively deals with non-normality, unequal population slope parameters, outliers, and heteroscedasticity. Some are based on the usual linear model and others are based on smoothers (nonparametric regression estimators). However, extant results are limited to one or two covariates. A minor goal here is to extend a recently-proposed method, based on the usual linear model, to situations where there are up to six covariates. The usual linear model might provide a poor approximation of the true regression surface. The main goal is to suggest a method, based on …