Digital Commons Network^™

K-Pop’S Secret Weapon: South Korea’S Criminal Defamation Laws, Rebecca Xu

San Diego International Law Journal

South Korea’s criminal defamation laws have long been considered an intrusion on the free speech rights of citizens, especially in regard to the usage by politicians against their opponents and journalists to suppress criticisms. This Comment considers the history and effects of these controversial defamation laws through the lens of recent scandals within the Korean entertainment industry, where regular citizens accusing Korean celebrities of past school violence are confronted with threats of defamation charges. To highlight the controversial nature of such laws, comparisons will be drawn between South Korea and other countries to highlight the restrictive nature of Korea’s laws.

Creating Data From Unstructured Text With Context Rule Assisted Machine Learning (Craml), Stephen Meisenbacher, Peter Norlander

School of Business: Faculty Publications and Other Works

Popular approaches to building data from unstructured text come with limitations, such as scalability, interpretability, replicability, and real-world applicability. These can be overcome with Context Rule Assisted Machine Learning (CRAML), a method and no-code suite of software tools that builds structured, labeled datasets which are accurate and reproducible. CRAML enables domain experts to access uncommon constructs within a document corpus in a low-resource, transparent, and flexible manner. CRAML produces document-level datasets for quantitative research and makes qualitative classification schemes scalable over large volumes of text. We demonstrate that the method is useful for bibliographic analysis, transparent analysis of proprietary data, …

Establishment And Mapping Of Heterogeneous Anomalies In Network Intrusion Datasets, Liam Riddell, Mohiuddin Ahmed, Paul Haskell-Dowland

Research outputs 2022 to 2026

Anomaly detection in the scope of network security aims to identify network instances for the unexpected and unique, with various security operations employing such techniques to facilitate effective threat detection. However, many systems have been designed based on the absolute mapping of attacks to one of three anomaly types (i.e. point, collective, or contextual), a strategy not supported by the recent findings of hybrid anomaly classifications. Given the growing usage of network anomaly detection and the implications of hybrid anomalies, we propose several heterogeneous anomaly types and provide an unsupervised approach for the automated mapping of network threats. Initial findings …

Age-Old Tools And Techniques To Protect Consumers Need To Be Sharpened In The Light Of Artificial Intelligence, Rajesh Bahuguna Prof, Radhey Shyam Jha Dr

International Journal on Consumer Law and Practice

We all are consumers by birth and remain consumers till death, and at the same time, it is also true that a consumer becomes the victim of exploitation in different ways. Adulterations, underweight, duplicate or cloned goods, and misleading and insufficient information are some ways of victimizing consumers. Today, we are standing at a juncture where we have a series of legislative, judicial, and administrative efforts to protect consumers. On the other hand, we have a plethora of incidents of exploitation of consumers. The nature of the legislation available for the protection of consumers is not purely criminal but sometimes …

Post Pandemic Cyberbiosecurity Threats From Terrorist Groups, Haley D. Dodge

Master's Theses

The research in this thesis explored the research question: Are United States (US) health systems accessible to cyber-bio terrorist attacks post-pandemic, within the context of the emerging discipline of cyberbiosecurity? Key findings of the analysis demonstrated how US health systems are more accessible to cyber-bio terrorist attacks specifically from cyber hacking groups based on the increasing sophistication of their cyber capabilities and the lack of cyber protection for biological systems. The concept of cyberbiosecurity was first introduced in 2018 by researchers exploring the converging threat landscape of the cyber and biology domains. As biology is growing more dependent upon vulnerable …

Impact Of Technology On Financial Services, Usoro Usoro

Economic and Financial Review

This paper reviews seven emerging technologies that are shaping the future of financial services across the globe, their impact on financial services, and the implication for regulation. The seven technologies are: Mobile Connectivity; Artificial Intelligence; Decentralised Ledger; Open Source; Hyper Automation; Cloud Computing; and No Code Development Platforms.

2022 November 18 - Board Of Trustees Agenda And Minutes, Board Of Trustees, East Tennessee State University

Board of Trustees Agendas and Minutes

No abstract provided.

2022 November 18 - Board Of Trustees Audit Committee Agenda And Minutes, Board Of Trustees, East Tennessee State University

Board of Trustees Agendas and Minutes

No abstract provided.

Privacy Qui Tam, Peter Ormerod

Notre Dame Law Review

Privacy law keeps getting stronger, but surveillance-based businesses have proven immune to these new legal regimes. The disconnect between privacy law in theory and in practice is a multifaceted problem, and one critical component is enforcement.

Today, most privacy laws are enforced by governmental regulators—the Federal Trade Commission, the nascent California Privacy Protection Agency, and state attorneys general. An enduring impasse for proposed privacy laws is whether to supplement public enforcement by using a private right of action to authorize individuals to enforce the law.

Both of these conventional enforcement schemes have significant shortcomings. Public enforcement has proven inadequate because …

The Impact Of Board Heterogeneity On Corporate Internationalization Strategy, Yi Qiang

Dissertations and Theses Collection (Open Access)

This study analyzes the relationship between board heterogeneity and the company’s internationalization strategy to determine the internal mechanism through which board heterogeneity affects the company’s internationalization strategy. Based on the analysis of the primary effect, the moderating effects of contextual factors at various levels, such as individual, organization, and environment, are introduced. Subsequently, this study empirically tests the proposed research hypothesis using the data of Chinese listed companies from 2011 to 2020.

The empirical results indicate that board heterogeneity has a positive impact on the company’s internationalization strategy. When the board chairman is female or has a longer tenure, board …

“Elder Scam” Risk Profiles: Individual And Situational Factors Of Younger And Older Age Groups’ Fraud Victimization, Katalin Parti

International Journal of Cybersecurity Intelligence & Cybercrime

In an attempt to understand how differently fraud works depending on a victim’s age, we have examined the effects of situational (lifestyle-routine activities), self-control, and sociodemographic variables on scam victimization across age groups. The analysis was carried out on a national sample of 2,558 Americans, representative by age, sex, and race, and includes additional factors such as their education, living arrangement, employment, and propensity for reporting a crime or asking for help. The results substantiate research findings of the contribution of self-control and LRAT in predicting victimization in general but could not identify major situational and individual differences between older …

Privacy Qui Tam, Peter Ormerod

Faculty Publications

Privacy law keeps getting stronger, but surveillance-based businesses have proven immune to these new legal regimes. The disconnect between privacy law in theory and in practice is a multifaceted problem, and one critical component is enforcement.

Today, most privacy laws are enforced by governmental regulators—the Federal Trade Commission, the nascent California Privacy Protection Agency, and state attorneys general. An enduring impasse for proposed privacy laws is whether to supplement public enforcement by using a private right of action to authorize individuals to enforce the law.

Both of these conventional enforcement schemes have significant shortcomings. Public enforcement has proven inadequate because …

User Behavior Analysis For User Profile Prediction, Islam Al Qaisi

Theses

The importance of user behavior analysis is becoming increasingly valuable to Software as a Service (SaaS) businesses such as EDI (Energy Data Intelligence). Users of big data applications require attention in order not to lose customer loyalty in a competitive business environment. With data analytics techniques, knowledge can be extracted about the user behaviors, and that would be a beneficial exercise to the business when it comes to improving services to the customers whether it’s a tailored customer support, targeted marketing campaigns or enhanced product features. This capstone project is focused on predicting user profiles through their web usage behavior. …

We Are ... Marshall, October 26, 2022, Office Of Marshall University Communications

We Are ... Marshall: the Newsletter for Marshall University 1999-2023

No abstract provided.

Deceptive Appeals And Cognitive Influences Used In Fraudulent Scheme Sales Pitches, Rafael J. Toledo

USF Tampa Graduate Theses and Dissertations

Fraud schemes exploit the complex interplay that results from utilizing deceptive appeals to activate underlying cognitive influences. This study was designed, first, to identify the deceptive appeals present in the messaging of fraudulent schemes and, second, to identify the underlying cognitive influences being exploited by the deceptive appeals utilized. Findings reveal that effectively used deceptive appeals work to keep viewers’ mental processes in a state of cognitive ease. This state allows cognitive influences--such as heuristics, cognitive biases, and the System 1 mind--to remain in control of mental processing; however, System 1 is prone to accept deceptive beliefs. The results of …

P-01 Financial Reporting Fraud: How Merger And Acquisition Complexity Provide Greater Opportunities For Ceos To Engage In Wrongdoing, Carmelita J. Troy, Jong Chool Park, Madeline Domino

Celebration of Research and Creative Scholarship

Using mergers and acquisitions (M&As) as a proxy to increase organizational complexity, we build upon Schnatterly et al.’s (2018) framework to addresses the gap in the management literature relating to how major firm disruptions, such as M&As, provide greater opportunities to entrenched CEOs for financial statement fraud due to higher levels of complexity. We extend the research on complexity-based information asymmetries (Ndofor et al. 2015) by empirically investigating whether accounting fraud is linked to M&As using a diverse set of variables. We propose the complex nature of M&A transactions result in higher information asymmetry, which provides a “veil” for self-interested …

Carrie Menkel-Meadow: Dispute Resolution In A Feminist Voice, Andrea Kupfer Schneider

Texas A&M Law Review

The presence of women in the law has changed the law’s substance, practice, and process. Carrie Menkel-Meadow, whose scholarship centers on this theme, is one such revolutionary woman.

Professor Menkel-Meadow, who I am proud to call my colleague, co-author, and friend (hereinafter referred to as Carrie), began her career in 1977 with a series of simple questions that sparked a breathtaking body of work. Carrie probed the depth of male domination in the realm of law and wondered what changes female representation might engender. In particular, she focused her inquiry on the value orientation each respective gender might bring to …

The Impact Of Mobile Payment On The Financial Inclusion Rates, Ali Mahmoud Alrabei, Leqaa Naife Al-Othman, Firas A.N Al-Dalabih, Thaer Abu Taber

Information Sciences Letters

In this paper, we discuss the impact of the mobile payment system on increasing financial inclusion ratios. We have followed the quantitative and analytical approach to test the studys hypotheses. A questionnaire was designed to consist of two dimensions and (22) questions. The study sample consisted of the Arab Bank and the Housing Bank and the multiple regression is used to test the collected data. The result of the regression equation showed a statistically significant effect of service price, the quality of the service, the ease of using service, and the security of the service provided through the mobile payment …

Feasibility Of National Health Insurance For Saudi Healthcare Services: Qualitative Study, Sharifah Ezat Wan Puteh, Azimatun Noor Aizuddin, Abdulaziz Abdullah Al Salem

Information Sciences Letters

In this paper, we determine the advantages and disadvantages of implementing the NHI system. The Kingdom of Saudi Arabias (KSA) health-care system is funded by oil earnings and is free at the point of delivery. Because of rising expenditures and rising oil market volatility, this system is being increasingly stressed. Based on face-to-face interviews, the goal of this work is to examine qualitatively the advantages, challenges, and variables related to the implementation of the National Health Insurance (NHI) system in Saudi Arabia. Interviews were performed to gather qualitative data on the advantages, challenges, and issues connected with the implementation of …

Feasibility Of National Health Insurance For Saudi Healthcare Services: Qualitative Study, Sharifah Ezat Wan Puteh, Azimatun Noor Aizuddin, Abdulaziz Abdullah Al Salem

Information Sciences Letters

In this paper, we determine the advantages and disadvantages of implementing the NHI system. The Kingdom of Saudi Arabias (KSA) health-care system is funded by oil earnings and is free at the point of delivery. Because of rising expenditures and rising oil market volatility, this system is being increasingly stressed. Based on face-to-face interviews, the goal of this work is to examine qualitatively the advantages, challenges, and variables related to the implementation of the National Health Insurance (NHI) system in Saudi Arabia. Interviews were performed to gather qualitative data on the advantages, challenges, and issues connected with the implementation of …

Issue 404: October 6-20, 2022, The Local Voice

The Local Voice

No abstract provided.

Sexual Misconduct: Policies To Improve Institutional Accountability And Reduce Individual Burdens, Meeyoung Lamothe, Megan Lepere-Schloop, Sungdae Lim, Jungwon Yeo, Erynn Elizabeth Beaton, Ralph Brower, Sung Ju Kim, Misun Lee, Eunsil Yoo

Faculty and Student Publications

No abstract provided.

War Crimes: History, Basic Concepts, And Structures, Richard J. Wilson

Scholarly Articles in Law Reviews & Journals

On May 24, 2022, the Washington Post carried front-page news that a court in Ukraine had sentenced a 21-year-old Russian soldier, Vadim Shishimarin, to life imprisonment for the war crime of premeditated murder of a civilian, 62-year-old Oleksandr Shelipov. The session was the first war crimes trial in Ukraine since Russia's invasion three months earlier.

The Implications Of Fraud On Non-Shareholder Stakeholders, Chasen P. Spicer

Senior Theses

Popular news outlets such as The New York Times or The Wall Street Journal frequently release articles detailing the financial losses incurred by shareholders of a company that have recently been publicly exposed for their fraudulent activities (Shumsky, 2018; Whitmire, 2005). Given that shareholders are visibly impacted by fraud, it is also reasonable to believe that other stakeholders experience repercussions from the fraudulent activities carried out by the company (Velikonja, 2013). To provide more insight into the implications of fraud incurred by non-shareholder stakeholders, I conduct a case study analysis of HealthSouth’s various fraudulent activities between the years of 1997 …

Fraud Detection In Financial Services Using Machine Learning, Khalifa Alsenaani

Theses

The banking industry is an important part of modern actions as it manages the movement of funds between different parties. However, this area is synonymous with some cases of fraud where people are being swindled their money, illegal transactions are being made and others.

The complexity of ensuring that transactions stay legitimate has since made it almost impossible to regulate fraud in this industry correctly. This report presents an approach that utilizes Machine Learning techniques to build a model that detects fraudulent transactions and flags them. The approach utilizes a dataset that contains a collection of observation points on transactions …

Physician False Claims Act Liability—The Circuit “Split” That Illustrates The Need For Health Courts, Nicole Rickerd

Chapman Law Review

"A man was diagnosed with lung cancer. 1 His oncologists discovered the cancer metastasized, meaning it spread to his brain and bones. 2 The patient received chemotherapy treatments. 3 Chemotherapy has numerous side effects, one of which is febrile neutropenia, a fever resulting from a patient lacking in a type of white blood cells. 4 Unfortunately, the patient developed febrile neutropenia approximately six months after his diagnosis. 5 He was admitted to the hospital, where he was treated by the inpatient physicians. 6 The inpatient physicians prescribed and administered broad spectrum antibiotics, which resolved the patient’s fever. 7 Concerned the …

Semi-Parametric Bayes Regression With Network-Valued Covariates, Xin Ma, Suprateek Kundu, Jennifer Stevens

Faculty, Staff and Student Publications

Although there has been an explosive rise in network data in a variety of disciplines, there is very limited development of regression modeling approaches based on high-dimensional networks. The scarce literature in this area typically assume linear relationships between the outcome and the high-dimensional network edges that results in an inflated model plagued by the curse of dimensionality and these models are unable to accommodate non-linear relationships or higher order interactions. In order to overcome these limitations, we develop a novel two-stage Bayesian non-parametric regression modeling framework using high-dimensional networks as covariates, which first finds a lower dimensional node-specific representation …

Carrie Menkel-Meadow: Dispute Resolution In A Feminist Voice, Andrea K. Schneider

Articles

The presence of women in the law has changed the law’s substance, practice, and process. Carrie Menkel-Meadow, whose scholarship centers on this theme, is one such revolutionary woman.

Professor Menkel-Meadow, who I am proud to call my colleague, co-author, and friend (hereinafter referred to as Carrie), began her career in 1977 with a series of simple questions that sparked a breathtaking body of work. Carrie probed the depth of male domination in the realm of law and wondered what changes female representation might engender. In particular, she focused her inquiry on the value orientation each respective gender might bring to …

Fraudulent Insurance Claims Detection Using Machine Learning, Arif Ismail Alrais

Theses

As the different countries around the world evolve into a more economical-based and stimulating their economy is the goal. The main purpose of most of these countries is to fight off money launderers and fraudsters for better economic growth. A popular fraud topic in this regard is insurance fraud since it costs the companies and the public billions. Applying data analysis and machine learning are great ways used to address many problems regarding any automated system. To address this problem, first extensive research should be made to check out what has been applied and what the most promising solution using …

Cannabis Securities Litigation, Gideon Mark

Seton Hall Journal of Legislation and Public Policy

No abstract provided.