Digital Commons Network^™

The Political Animal: The Animal Rights Movement And Public Policy, Dorothy Jean Simnett

Department of Conflict Resolution Studies Theses and Dissertations

Social movements are consequences of social conflict. This project examines the conflicting and contentious efforts of animal rights activists at changing public policy and it evaluates the successes and failures of the animal rights movement. Animal rights activists’ challenges concerning animal rights, animal welfare and animal protection, combined with divergences from the special interest consortiums compounded by societal norms will all be addressed here. Furthermore, none of this has been previously addressed in the field of Conflict Resolution. This project highlights the challenges that animal rights advocates encounter when attempting to safeguard animal protective measures. The power struggle between animal …

A Case Study Of Crisis Management Training Needs: Saudi Airlines, Hussain Saad Alqahtani

Department of Conflict Resolution Studies Theses and Dissertations

This dissertation explores crisis management policies, programs, and training in the Kingdom of Saudi Arabia’s premier airliners, Saudi Arabian Airlines. Saudi Arabian Airlines is a domestic and international carrier with a major role in the transportation of millions of Muslim pilgrims to the Kingdom during the annual Hajj season. This event places enormous strains on the capacity of the carrier, the airport, ground support systems, and the societal infrastructure of country. There have been tireless efforts by the Airline’s staffers to serve millions of visitors including pilgrims in a timely, safe and appropriate manner. Crisis management for Saudi Arabian Airlines …

Bachelor Of Science-Legal Studies 2019-2020, Nova Southeastern University

Undergraduate Programs Course Catalogs

No abstract provided.

Undergraduate Student Catalog 2019-2020, Nova Southeastern University

Undergraduate Programs Course Catalogs

No abstract provided.

Bachelor Of Arts-Theatre 2019-2020, Nova Southeastern University

Undergraduate Programs Course Catalogs

No abstract provided.

Bachelor Of Science-Chemistry 2019-2020, Nova Southeastern University

Undergraduate Programs Course Catalogs

No abstract provided.

Bachelor Of Arts-Philosophy 2019-2020, Nova Southeastern University

Undergraduate Programs Course Catalogs

No abstract provided.

Bachelor Of Arts-Music 2019-2020, Nova Southeastern University

Undergraduate Programs Course Catalogs

No abstract provided.

Bachelor Of Arts-English 2019-2020, Nova Southeastern University

Undergraduate Programs Course Catalogs

No abstract provided.

Bachelorof Arts-Art And Design 2019-2020, Nova Southeastern University

Undergraduate Programs Course Catalogs

No abstract provided.

Bachelor Of Arts-Communication 2019-2020, Nova Southeastern University

Undergraduate Programs Course Catalogs

No abstract provided.

A Psychosocial Behavioral Attribution Model: Examining The Relationship Between The “Dark Triad” And Cyber-Criminal Behaviors Impacting Social Networking Sites, Kim Withers

CCAC Theses and Dissertations

This study proposes that individual personality characteristics and behavioral triggering effects come together to motivate online victimization. It draws from psychology’s current understanding of personality traits, attribution theory, and criminological research. This study combines the current computer deviancy and hacker taxonomies with that of the Dark Triad model of personality mapping. Each computer deviant behavior is identified by its distinct dimensions of cyber-criminal behavior (e.g., unethical hacking, cyberbullying, cyberstalking, and identity theft) and analyzed against the Dark Triad personality factors (i.e., narcissism, Machiavellianism, and psychopathy). The goal of this study is to explore whether there are significant relationships among the …

Adaptable Privacy-Preserving Model, Emily Elizabeth Brown

CCAC Theses and Dissertations

Current data privacy-preservation models lack the ability to aid data decision makers in processing datasets for publication. The proposed algorithm allows data processors to simply provide a dataset and state their criteria to recommend an xk-anonymity approach. Additionally, the algorithm can be tailored to a preference and gives the precision range and maximum data loss associated with the recommended approach. This dissertation report outlined the research’s goal, what barriers were overcome, and the limitations of the work’s scope. It highlighted the results from each experiment conducted and how it influenced the creation of the end adaptable algorithm. The xk-anonymity model …

A Comprehensive Cybersecurity Defense Framework For Large Organizations, Willarvis Smith

CCAC Theses and Dissertations

There is a growing need to understand and identify overarching organizational requirements for cybersecurity defense in large organizations. Applying proper cybersecurity defense will ensure that the right capabilities are fielded at the right locations to safeguard critical assets while minimizing duplication of effort and taking advantage of efficiencies. Exercising cybersecurity defense without an understanding of comprehensive foundational requirements instills an ad hoc and in many cases conservative approach to network security. Organizations must be synchronized across federal and civil agencies to achieve adequate cybersecurity defense. Understanding what constitutes comprehensive cybersecurity defense will ensure organizations are better protected and more efficient. …

Adaptive Strategies Of Multi-Objective Optimization For Greener Networks, Hatem Yazbek

CCAC Theses and Dissertations

Increasing energy costs and environmental issues related to the Internet and wired networks continue to be a major concern. Energy-efficient or power-aware networks continue to gain interest in the research community. Existing energy reduction approaches do not fully address all aspects of the problem. We consider the problem of reducing energy by turning off network links, while achieving acceptable load balance, by adjusting link weights. Changing link weights frequently can cause network oscillation or instability in measuring the resulting traffic load, which is a situation to be avoided. In this research, we optimize two objectives, which are minimizing network power …

Bachelor Of Science-Seconary English Education With Esol Endorsement 2019-2020, Nova Southeastern University

Abraham S. Fischler College of Education and School of Criminal Justice Undergraduate Course Catalogs

No abstract provided.

Bachelor Of Science-Exceptional Student Education With Esol/Reading Endorsement 2019-2020, Nova Southeastern University

Abraham S. Fischler College of Education and School of Criminal Justice Undergraduate Course Catalogs

No abstract provided.

Bachelor Of Science-Education 2019-2020, Nova Southeastern University

Abraham S. Fischler College of Education and School of Criminal Justice Undergraduate Course Catalogs

No abstract provided.

Bachelor Of Science-Secondary Social Studies Education With Esol Endorsement 2019-2020, Nova Southeastern University

Abraham S. Fischler College of Education and School of Criminal Justice Undergraduate Course Catalogs

No abstract provided.

Bachelor Of Science-Biology 2019-2020, Nova Southeastern University

Undergraduate Programs Course Catalogs

No abstract provided.

Bachelor Of Science In Accounting_2019-2020, Nova Southeastern University

Huizenga Undergraduate Course Catalogs

No abstract provided.

Empowering Teacher Leadership To Address Math Anxiety In Today’S Schools, Joseph M. Furner, Christine Higgins

Transformations

Math anxiety is an uneasiness or worry when dealing with doing mathematics, ranging from slight nervousness, nausea, to complete panic. It prevents students from learning math and makes them more likely to give up. Math anxiety is common in many math classrooms today. Teachers can work together and take a real leadership role in addressing this problem to build math confidence. Solutions range from undergoing therapy to changing teaching styles to being more inclusive of students with math anxiety. This paper looks at ways teachers as leaders can work together to address math anxiety in their schools. School leaders can …

The Evolution Of Technology In Call Centers, Julieo Stephen Thompson

CCAC Theses and Dissertations

Historical research was conducted through literature. The report traces the evolution of technology in call centers (CCs) from their early inception to 2018. CCs are integrated into many facets of multidisciplinary areas of business, industry, and public and private institutions of higher education. Three research questions were addressed:

1. What technologies enabled the start of CCs? How did the communications between customers and CSRs take place? What was the content of the earlier communications?
2. How did services and communications evolve as technology matured?
3. What are the current state-of-the-art technologies that exist in CCs? Which industries appear to have the best solutions? …

Instructional Designers As Project Managers: A Phenomenology, La Keshia Lynn Nall

CCAC Theses and Dissertations

The ability to effectively manage learning design projects, consult with stakeholders (such as sponsors, subject matter experts, and learners), and direct projects to completion is a vital part of an instructional designer’s role. Although the need for project management education and experience is reiterated in the literature and in cross-industry instructional designer (ID) job postings, it was unclear how these professionals acquired and used project management skills and tools in their profession because project management is not a focus in many higher education programs intended to prepare instructional designers.

The goal of this phenomenological study was to understand the lived …

An Investigation Into The Impact Of Social Networking On Knowledge Sharing, James Harold Gorham

CCAC Theses and Dissertations

Today we are experiencing a rapidly increasing trend to use social networking in ways that dramatically affect both our personal and our public lives. This is a global phenomenon being experienced around the world. Exactly how this technology is being used and by whom is of great interest. The problem is that not a lot of research has been conducted to investigate the role social networking sites play to influence a person’s attitude toward sharing knowledge at work. In light of the marked increase in the use of social networking sites and how it is changing the way we live, …

An Investigation Of Electronic Protected Health Information (E-Phi) Privacy Policy Legislation In California For Seniors Using In-Home Health Monitoring Systems, Robert Lee Saganich

CCAC Theses and Dissertations

This study examined privacy legislation in California to identify those electronic Protected Health Information (e-PHI) privacy policies that are suited to seniors using in-home health monitoring systems. Personal freedom and independence are essential to a person's physical and mental health, and mobile technology applications provide a convenient and economical method for monitoring personal health. Many of these apps are written by third parties, however, which poses serious risks to patient privacy. Current federal regulations only cover applications and systems developed for use by covered entities and their business partners. As a result, the responsibility for protecting the privacy of the …

A Hybrid (Active-Passive) Vanet Clustering Technique, Garrett Lee Moore

CCAC Theses and Dissertations

Clustering serves a vital role in the operation of Vehicular Ad hoc Networks (VANETs) by continually grouping highly mobile vehicles into logical hierarchical structures. These moving clusters support Intelligent Transport Systems (ITS) applications and message routing by establishing a more stable global topology. Clustering increases scalability of the VANET by eliminating broadcast storms caused by packet flooding and facilitate multi-channel operation. Clustering techniques are partitioned in research into two categories: active and passive. Active techniques rely on periodic beacon messages from all vehicles containing location, velocity, and direction information. However, in areas of high vehicle density, congestion may occur on …

Empirical Assessment Of Mobile Device Users’ Information Security Behavior Towards Data Breach: Leveraging Protection Motivation Theory, Anthony Duke Giwah

CCAC Theses and Dissertations

User information security behavior has been an area of growing demand in information systems (IS) research. Unfortunately, most of the previous research done in user information security behavior have been in broad contexts, therefore creating a gap in the literature of similar research that focuses on specific emerging technologies and trends. With the growing reliance on mobile devices to increase the flexibility, speed and efficiency in how we work, communicate, shop, seek information and entertain ourselves, it is obvious that these devices have become data warehouses and platform for data in transit.

This study was an empirical and quantitative study …

Gene Ontology-Guided Force-Directed Visualization Of Protein Interaction Networks, James Lowell King

CCAC Theses and Dissertations

Protein interaction data is being generated at unprecedented rates thanks to advancements made in high throughput techniques such as mass spectrometry and DNA microarrays. Biomedical researchers, operating under budgetary constraints, have found it difficult to scale their efforts to keep up with the ever-increasing amount of available data. They often lack the resources and manpower required to analyze the data using existing methodologies. These research deficiencies impede our ability to understand diseases, delay the advancement of clinical therapeutics, and ultimately costs lives.

One of the most commonly used techniques to analyze protein interaction data is the construction and visualization of …

Lstm Networks For Detection And Classification Of Anomalies In Raw Sensor Data, Alexander Verner

CCAC Theses and Dissertations

In order to ensure the validity of sensor data, it must be thoroughly analyzed for various types of anomalies. Traditional machine learning methods of anomaly detections in sensor data are based on domain-specific feature engineering. A typical approach is to use domain knowledge to analyze sensor data and manually create statistics-based features, which are then used to train the machine learning models to detect and classify the anomalies. Although this methodology is used in practice, it has a significant drawback due to the fact that feature extraction is usually labor intensive and requires considerable effort from domain experts.

An alternative …