Social and Behavioral Sciences Commons^™

Clan Capitalism, Graph Distance, And Other Issues, Florentin Smarandache, Victor Christianto

Branch Mathematics and Statistics Faculty and Staff Publications

This book consists of 6 papers focusing on social and economic issues. The topics covered include graph distance and optimal communication, migration in Jaipur, urbanization, clan capitalism, world population growth rate, and scientific inquiry. These papers were written in the period between 20092010. Hopefully the readers will find some new insights in this collection of papers.

Agroforestry And Smallholder Farmers: Climate Change Adaptation Through Sustainable Land Use, Colin Mccabe

Capstone Collection

Agriculture in the developing world will be extremely hard hit by climate change, and smallholder farmers in Least Developed Countries (LDCs) are among the most vulnerable to its impacts. There is a range of agricultural adaptations to climate change, and each context demands a unique appraisal of impacts and adaptations based on specific geography, local climate variability and expected change, and social conditions. The term “climate-smart agriculture” (CSA) has come to embody a set of practices in crop and livestock cultivation that 1) reduce greenhouse gas emissions (climate change mitigation), 2) build resilience to the impacts of climate change for …

Essays On Rethinking African Development: Contextual And Methodological Advances, Olumayokun Soremekun

2013

This research study sets out to provide analytical answers to the questions of African development and inequality. We examine various aspects of development from the issue of inequality among African countries to unravelling the synergies among the MDG goals and finally to investigating the progress if any that African countries have made towards attaining the MDG goals.

This research is broken down into three main studies: measuring inequality of opportunity, examining the synergies between the Millennium development goals at a particular point in time and lastly assessing the progress that has been made towards attaining the MDG goals in Africa. …

Making Solution Pluralism In Policy Making Accessible: Optimization Of Design And Services For Constituent Well-Being, Margeret A. Hall, Steven O. Kimbrough, Wibke Michalk, Jefff Schneider, Christof Weinhardt

Interdisciplinary Informatics Faculty Proceedings & Presentations

Policy makers are increasingly turning to computational support mechanisms for managing uncertainty, and constituent focused-decisions. Utilization and standardization of human-computer interaction principles to create solution pluralism (the condition of having a consideration set containing a multiplicity of credible solutions) is a fundamental to fulfilling this need. There is a need for standardized applications and user interfaces to deliver a higher quality of service, which assists policy makers in maintaining or increasing constituent well-being.

The Journal Of Undergraduate Research: Volume 11

The Journal of Undergraduate Research

This is the complete issue of the South Dakota State University Journal of Undergraduate Research, Volume 11.

The Critical Role Of Mechanism-Based Models For Understanding And Predicting Liposomal Drug Loading, Binding And Release Kinetics, Sweta Modi

Theses and Dissertations--Pharmacy

Liposomal delivery systems hold considerable promise for improvement of cancer therapy provided that critical formulation design criteria can be met. The main objective of the current project was to enable quality by design in the formulation of liposomal delivery systems by developing comprehensive, mechanism-based mathematical models of drug loading, binding and release kinetics that take into account not only the therapeutic requirement but the physicochemical properties of the drug, the bilayer membrane, and the intraliposomal microenvironment.

Membrane binding of the drug affects both drug loading and release from liposomes. The influence of bilayer composition and phase structure on the partitioning …

Functional Data Analysis To Guide A Conditional Likelihood Regression In A Case-Crossover Study Investigating Whether Social Characteristics Modify The Health Effects Of Air Pollution, Juana Maribel Herrera Hernandez

Open Access Theses & Dissertations

In this study we are focused on exploring whether social characteristics modify the relationship between air pollution and hospitalizations due to asthma or chronic pulmonary obstructive disease (COPD) in El Paso, Tx. The case-crossover design with conditional regression analysis was used, here the controls and the case are the same subject at different

times and has the advantage of removing confounding by permanently confounding factors. Social characteristics are included in the models as interactions with the pollutants, variables included are age, sex, ethnicity and insurance status as indicator for the socio-economic status. The pollutant's lags were chosen using the historical …

State Level Earned Income Tax Credit’S Effects On Race And Age: An Effective Poverty Reduction Policy, Anthony J. Barone

CMC Senior Theses

In this paper, I analyze the effectiveness of state level Earned Income Tax Credit programs on improving of poverty levels. I conducted this analysis for the years 1991 through 2011 using a panel data model with fixed effects. The main independent variables of interest were the state and federal EITC rates, minimum wage, gross state product, population, and unemployment all by state. I determined increases to the state EITC rates provided only a slight decrease to both the overall white below-poverty population and the corresponding white childhood population under 18, while both the overall and the under-18 black population for …

Information Security Challenge Of Qr Codes, Nik Thompson, Kevin Lee

Journal of Digital Forensics, Security and Law

The discipline of information security must adapt to new technologies and methods of interaction with those technologies. New technologies present both challenges and opportunities for the security professional, especially for areas such as digital forensics. Challenges can be in the form of new devices such as smartphones or new methods of sharing information, such as social networks. One such rapidly emerging interaction technology is the use of Quick Response (QR) codes. These offer a physical mechanism for quick access to Web sites for advertising and social interaction. This paper argues that the common implementation of QR codes potentially presents security …

Measuring Inconsistency Methods For Evidentiary Value, Fred Cohen

Journal of Digital Forensics, Security and Law

Many inconsistency analysis methods may be used to detect altered records or statements. But for admission as evidence, the reliability of the method has to be determined and measured. For example, in China, for evidence to be admitted, it has to have 95% certainty of being correct,1 and that certainty must be shown to the court, while in the US, evidence is admitted if it is more probative than prejudicial (a >50% standard).2 In either case, it is necessary to provide a measurement of some sort in order to pass muster under challenges from the other side. And in most …

Technology Corner Visualising Forensic Data: Evidence (Part 1), Damian Schofield, Ken Fowle

Journal of Digital Forensics, Security and Law

Visualisation is becoming increasingly important for understanding information, such as investigative data (for example: computing, medical and crime scene evidence) and analysis (for example: network capability assessment, data file reconstruction and planning scenarios). Investigative data visualisation is used to reconstruct a scene or item and is used to assist the viewer (who may well be a member of the general public with little or no understanding of the subject matter) to understand what is being presented. Analysis visualisations, on the other hand, are usually developed to review data, information and assess competing scenario hypotheses for those who usually have an …

How Often Is Employee Anger An Insider Risk I? Detecting And Measuring Negative Sentiment Versus Insider Risk In Digital Communications, Eric Shaw, Maria Payri, Michael Cohn, Ilene R. Shaw

Journal of Digital Forensics, Security and Law

This research introduced two new scales for the identification and measurement of negative sentiment and insider risk in communications in order to examine the unexplored relationship between these two constructs. The inter-rater reliability and criterion validity of the Scale of Negativity in Texts (SNIT) and the Scale of Insider Risk in Digital Communications (SIRDC) were established with a random sample of email from the Enron archive and criterion measures from established insiders, disgruntled employees, suicidal, depressed, angry, anxious, and other sampled groups. In addition, the sensitivity of the scales to changes over time as the risk of digital attack increased …

Table Of Contents

Journal of Digital Forensics, Security and Law

No abstract provided.

Technology Corner: Visualising Forensic Data: Evidence Guidelines (Part 2), Damian Schofield, Ken Fowle

Journal of Digital Forensics, Security and Law

Visualisation is becoming increasingly important for understanding information, such as investigative data (for example: computing, medical and crime scene evidence) and analysis (for example, network capability assessment, data file reconstruction and planning scenarios). Investigative data visualisation is used to reconstruct a scene or item and is used to assist the viewer (who may well be a member of the general public with little or no understanding of the subject matter) to understand what is being presented. Analysis visualisations, on the other hand, are usually developed to review data, information and assess competing scenario hypotheses for those who usually have an …

How Often Is Employee Anger An Insider Risk Ii? Detecting And Measuring Negative Sentiment Versus Insider Risk In Digital Communications–Comparison Between Human Raters And Psycholinguistic Software, Eric Shaw, Maria Payri, Michael Cohn, Ilene R. Shaw

Journal of Digital Forensics, Security and Law

This research uses two recently introduced observer rating scales, (Shaw et al., 2013) for the identification and measurement of negative sentiment (the Scale for Negativity in Text or SNIT) and insider risk (Scale of Indicators of Risk in Digital Communication or SIRDC) in communications to test the performance of psycholinguistic software designed to detect indicators of these risk factors. The psycholinguistic software program, WarmTouch (WT), previously used for investigations, appeared to be an effective means for locating communications scored High or Medium in negative sentiment by the SNIT or High in insider risk by the SIRDC within a randomly selected …

Trends In Android Malware Detection, Kaveh Shaerpour, Ali Dehghantanha, Ramlan Mahmod

Journal of Digital Forensics, Security and Law

This paper analyzes different Android malware detection techniques from several research papers, some of these techniques are novel while others bring a new perspective to the research work done in the past. The techniques are of various kinds ranging from detection using host based frameworks and static analysis of executable to feature extraction and behavioral patterns. Each paper is reviewed extensively and the core features of each technique are highlighted and contrasted with the others. The challenges faced during the development of such techniques are also discussed along with the future prospects for Android malware detection. The findings of the …

Risk Management Of Email And Internet Use In The Workplace, John Ruhnka, Windham E. Loopesko

Journal of Digital Forensics, Security and Law

The article surveys the changing risk environment for corporations from their employees’ electronic communications. It identifies the types of liabilities that corporations can incur from such employee communications. It discusses the objectives of corporate internet use policies and the types of provisions such policies should contain. It suggests an alternative risk-based approach to corporate acceptable use policies instead of a traditional “laundry list” of internet use prohibitions.

Table Of Contents

Journal of Digital Forensics, Security and Law

No abstract provided.

Analysis Of A Second Hand Google Mini Search Appliance, Stephen Larson

Journal of Digital Forensics, Security and Law

Information and the technological advancements for which mankind develops with regards to its storage has increased tremendously over the past few decades. As the total amount of data stored rapidly increases in conjunction with the amount of widely available computer-driven devices being used, solutions are being developed to better harness this data (LaTulippe, 2011). One of these solutions is commonly known as a search appliance. Search appliances have been used in e-discovery for several years. The Google Mini Search Appliance (Mini) has not only been used for e-discovery, but for indexing and searching internal documents. To accomplish these tasks, search …

System-Generated Digital Forensic Evidence In Graphic Design Applications, Enos Mabuto, Hein Venter

Journal of Digital Forensics, Security and Law

Graphic design applications are often used for the editing and design of digital art. The same applications can be used for creating counterfeit documents such as identity documents (IDs), driver’s licences, passports, etc. However, the use of any graphic design application leaves behind traces of digital information that can be used during a digital forensic investigation. Current digital forensic tools examine a system to find digital evidence, but they do not examine a system specifically for the creating of counterfeit documents created through the use of graphic design applications. The paper in hand reviews the system-generated digital forensic evidence gathered …

Hyperspectral Image Classification Using A Spectral-Spatial Sparse Coding Model, Ender Oguslu, Guoqing Zhou, Jiang Li, Lorenzo Bruzzone (Ed.)

Electrical & Computer Engineering Faculty Publications

We present a sparse coding based spectral-spatial classification model for hyperspectral image (HSI) datasets. The proposed method consists of an efficient sparse coding method in which the l₁/l_q regularized multi-class logistic regression technique was utilized to achieve a compact representation of hyperspectral image pixels for land cover classification. We applied the proposed algorithm to a HSI dataset collected at the Kennedy Space Center and compared our algorithm to a recently proposed method, Gaussian process maximum likelihood (GP-ML) classifier. Experimental results show that the proposed method can achieve significantly better performances than the GP-ML classifier when training data …

Developing An Explanatory Model For The Process Of Online Radicalisation And Terrorism, Robyn Torok

Research outputs 2013

While the use of the internet and social media as a tool for extremists and terrorists has been well documented, understanding the mechanisms at work has been much more elusive. This paper begins with a grounded theory approach guided by a new theoretical approach to power that utilizes both terrorism cases and extremist social media groups to develop an explanatory model of radicalization. Preliminary hypotheses are developed, explored and refined in order to develop a comprehensive model which is then presented. This model utilizes and applies concepts from social theorist Michel Foucault, including the use of discourse and networked power …

Experiments To Measure The Effects Of Timber Harvesting Equipment On Surface Lithic Scatters, Douglas J. Baughman

All Master's Theses

The importance of cultural resource preservation cannot be overstated; however local economies are at least as important. Due to conservative archaeological site protection practices in Region 5 of the United States Forest Service, the economy of Northeastern California is being adversely affected. In an attempt to help the Forest Service make more informed management decisions and improve the Northeastern California economy, I undertook experiments on the effects of timber harvesting on lithic scatters on Modoc National Forest. The experiments involved placement of 225 glass tiles (proxy lithics) in each of three plots subject to vehicle traffic and log dragging by …

Mapa De Amenazas En Las Cuencas De Las Fronteras Amazónicas Entre Ucayali Y Madre De Dios (Perú), Pando (Bolivia) Y Acre (Brasil), Gtaso, David S. Salisbury

Geography and the Environment Maps

Mapa de Amenazas en las Cuencas de las Fronteras Amazónicas entre Ucayali y Madre de Dios (Perú), Pando (Bolivia) y Acre (Brasil)

Map of Threatened Borders of the Amazon Basin between Ucayali and Madre de Dios (Peru), Pando (Bolivia) and Acre (Brazil)

The Elwha River Restoration: Landscape Change, Salmon, And Sense Of Place, Kelseyanne Johnson

All Master's Theses

Removal of the Elwha River dams to restore the ecosystem and salmon fisheries is the largest project of its kind in the history of the United States. Spanning decades and affecting generations, this project has changed and will continue to change the landscape. This research examined the influence of the anticipated return of salmon on 18 key stakeholders' sense of place of the Elwha River. For almost all stakeholders, changes to the Elwha landscape are welcomed as they expect that salmon will restore the ecosystem to its natural state. Narrative data revealed dominant themes in participants' sense of place expressed …

The Green Port Policy: Sustainability In Long Beach, Casey Connorton

Whittier Scholars Program

This project revolves around sustainable development which aims to achieve economic growth and industrialization without environmental damage. This project specifically focuses on sustainability especially that of the Port of Long Beach. Sections include defining sustainable development, a history of port pollution, the green port policy, essential components of a sustainable strategy, pollution prevention, cutting emissions at the POLB, Mitigation Projects, and Community Involvement.

A Justification For Semantic Training In Data Curation Frameworks Development, Xiaogang Ma, Benjamin D. Branch, Kristin Wegner

Libraries Faculty and Staff Presentations

In the complex data curation activities involving proper data access, data use optimization and data rescue, opportunities exist where underlying skills in semantics may play a crucial role in data curation professionals ranging from data scientists, to informaticists, to librarians. Here, We provide a conceptualization of semantics use in the education data curation framework (EDCF) (Fig. 1) [1] under development by Purdue University and endorsed by the GLOBE program [2] for further development and application. Our work shows that a comprehensive data science training includes both spatial and non-spatial data, where both categories are promoted by standard efforts of organizations …

Using Existing Programs As Vehicles To Disseminate Knowledge, Provide Opportunities For Scientists To Assist Educators, And To Engage Students In Using Real Data., Steven Smith, Kristin Wegner, Benjamin D. Branch, Bridget Miller, Darrell G. Schulze, Ann M. Bessenbacher

Libraries Faculty and Staff Presentations

Many national and statewide programs throughout the K-12 science education environment teach students about science in a hands-on format, including programs such as Global Learning and Observations to Benefit the Environment (GLOBE), Project Learning Tree (PLT), Project Wild, Project Wet, and Hoosier River Watch. Partnering with one or more of these well-known programs can provide many benefits to both the scientists involved in disseminating research and the K-12 educators. Scientists potentially benefit by broader dissemination of their research by providing content enrichment for educators. Educators benefit by gaining understanding in content, becoming more confident in teaching the concept, and increasing …

Combinatorial Auction-Based Virtual Machine Provisioning And Allocation In Clouds, Sharrukh Zaman

Wayne State University Dissertations

Current cloud providers use fixed-price based mechanisms to allocate Virtual Machine (VM) instances to their users. But economic theory states that when there are large amount of resources to be allocated to large number of users, auctions are the most efficient allocation mechanisms. Auctions achieve efficiency of allocation and also maximize the providers' revenue, which a fixed-price based mechanism is unable to do. We argue that combinatorial auctions are best suited for the problem of VM provisioning and allocation in clouds, since they provide the users with the most flexible way to express their requirements. In combinatorial auctions, users bid …

Essays On The Effects Of Oil Price Shocks On The U.S. Stock Returns, Zeina Nashaat Alsalman

Wayne State University Dissertations

This research investigates the effect of changes in oil prices and oil price volatility on the U.S. stock returns. The first essay tests whether the sign and the size of oil price shocks matter for the U.S. stock returns. The results suggest a linear model provides a good approximation to the response of real stock returns to real oil price innovations. However, this is not the case when the model is specified in terms of the nominal price of crude oil.Using a modified structural VAR to accommodate GARCH-in-Mean errors, the second essay studies the direct effects of oil price uncertainty …