Business Commons^™

Cloud Solutions For Clinical Trial Data Analysis, Kelli Nelson

Student Research Symposium

In clinical trials, how can we determine whether "rare but serious side effects" are results of the treatment or just random?

A Comprehensive Study: Comparing Machine Learning Techniques For Breast Cancer Prediction, Tonmoy Roy

Student Research Symposium

This study conducts a comparative analysis of feature selection techniques and machine learning models to improve breast cancer risk prediction using the Wisconsin Breast Cancer Dataset. Through evaluating univariate feature selection, recursive feature elimination, and principal component analysis, alongside ten machine learning models, the research aims to identify the most effective combination for accurate diagnosis.

Performance metrics such as accuracy, precision, recall, and F1 score guide the analysis.

The findings suggest that integrating specific feature selection methods with particular machine learning algorithms significantly enhances predictive accuracy, offering insights for developing more effective breast cancer detection tools and improving patient outcomes.

Janet Howieson - Wa Food Waste Management, Janet Howieson

Turning The Dial conference

No abstract provided.

Barbara Albert - Net Zero And Esg Strategies, Barbara Albert

Turning The Dial conference

No abstract provided.

Removing The “I” Factor: Examining The Barriers To Career Progression For Black Women, Anthony Sites, Jay O’Toole

Undergraduate Research Symposium

This research aims to advance theory concerning career progression barriers for Black women. It introduces and advances critical race theory and theories of identity blindness and consciousness as important mechanisms that impact the Black women’s career trajectories. Identity blindness is a tendency to overlook or ignore an individual’s unique racial and gender identity in professional settings can create systemic barriers for professional advancement. Conversely, identity consciousness purposely acknowledges and embraces racial and gender identities and can create more inclusive workplaces that support diverse individuals. This study will use secondary data from the US Census Public Use File (PUF). The dataset …

Mindset, Virtue Signaling And Volunteering, Corinne Novell, Steven Bauer, Alice Labban, Yingfan Zhu

Seaver College Research And Scholarly Achievement Symposium

Virtue signaling, or publicly showing off one’s good character or actions to others, has been studied in many contexts. This research expands on previous work and focuses on investigating the impact of fixed vs. growth mindsets on virtue signaling in a volunteering context. Mindsets, in the context of this research, are the beliefs people hold about the consistency of human’s personality as well as their moral characteristics. We hypothesize that given the different goal orientations of people with growth vs. fixed mindsets, the impact of obligatory virtue signaling on volunteer behavior will be stronger among people with a growth (vs. …

Historical Perspectives In Volatility Forecasting Methods With Machine Learning, Zhiang Qiu, Clemens Kownatzki, Fabien Scalzo, Eun Sang Cha

Seaver College Research And Scholarly Achievement Symposium

Volatility forecasting in the financial market plays a pivotal role across a spectrum of disciplines, such as risk management, option pricing, and market making. However, volatility forecasting is challenging because volatility can only be estimated, and different factors influence volatility, ranging from macroeconomic indicators to investor sentiments. While recent works suggest advances in machine learning and artificial intelligence for volatility forecasting, a comprehensive benchmark of current statistical and learning-based methods for such purposes is lacking. Thus, this paper aims to provide a comprehensive survey of the historical evolution of volatility forecasting with a comparative benchmark of key landmark models. We …

Compressed Natural Gas And How It Works, Ryan Lisek

Purdue Road School

Join us for a discussion about compressed natural gas (CNG) and how it works. Attendees will learn safety measures, where CNG works and where it doesn’t, cost and operation comparisons, fuel efficiency, infrastructure, emissions, and garage modifications.

Local Income Tax: An Evolving Resource, Andrew O. Mouser, Tom Dermody

Purdue Road School

Local income tax (LIT) has become an increasingly important resource for Indiana communities. Each year, many Indiana counties adopt new or reallocate existing LIT rates to meet ever-changing needs. The 2023 legislative session added additional LIT flexibility for jails, EMS, fire protection, courts, and other needs. A new LIT rate may free up funding for roads, but getting it adopted may require cooperation among the county and its municipalities. Join us for a discussion.

Nextlevel Grants And Project Funds Management, Paul Reed, Karen Hicks, Aaron Potter

Purdue Road School

NextLevel Grants Management is an initiative from the OMB and the State Budget Agency (SBA) to improve how Indiana manages federal grants. Under IC 4-3-24-5, approval must be granted by SBA to apply for federal grants administered by the state on behalf of the local and/or in conjunction with Local call funds. This session will provide you with an understanding of the new NextLevel Grants initiative and how to effectively manage your project funding.

Comparative Life Cycle Assessment Of Copper Production, Xiaohan Wu

Graduate Industrial Research Symposium

Copper demand will surge significantly in the context of global renewable energy technology implementation, but its production is an energy-intensive process. It is crucial to choose the best production method to reduce environmental damage in terms of the enormous copper supply. This research develops a multi-criteria life cycle assessment model for the three main copper production routes- pyrometallurgy, hydrometallurgy, and bioleaching. We complied material and energy flow data to assess each route's life cycle greenhouse gas (GHG) emissions, cost, and resource efficiency. Results indicate bioleaching emits the least GHG emissions (4.09 kg-CO2 eq/kg copper) among the three routes. Hydrometallurgy is …

Autonomous Roadside Mower Testing And Evaluation In Digital Twin Environments, Michael Mardikes, Ethan Brown, Timothy Wiegman, Nathan Sprague, Shreyas Supe, J. T. Evans

Graduate Industrial Research Symposium

Modern day roadside mowing operations in Indiana are performed by contractors operating tractors that pull flex-wing mowers. These mowing operations span over 11,000 miles of road across the state and create serious risk for human operators. Autonomous mowers can provide a safer alternative, but a replacement system must demonstrate an acceptable level of trust before large-scale deployment. A high-fidelity digital-twin environment can facilitate the capability to rapidly test and evaluate platforms in their desired application, while enabling zero real-world risk, a wide range of test variables, and repeatability of a test setup. The simulation environment must be at a level …

Green Skies Over Akron: “Revolutionizing Cak With A $20m Sustainability Blueprint", Oluwasemilore A. Akintelure, Kyle Rediger, Katie Horn

National Training Aircraft Symposium (NTAS)

Our groundbreaking research at Akron-Canton Airport (CAK) proposes a transformative $20 million electrical master plan, designed to revolutionize the airport into a sustainable aviation hub and an Advanced Air Mobility (AAM) leader - a unique stance compared to similar airports in its economic corridor. This initiative, poised to impact millions of travelers, integrates cutting-edge solar panel installations and infrastructure for electric Vertical Take-Off and Landing (eVTOL) vehicles. Our comprehensive analysis, encompassing energy consumption, economic impacts, and risk assessments, underpins this ambitious project. The implementation of green energy solutions is projected to substantially reduce CAK's carbon footprint, leading to a healthier …

Post-Pandemic Employee Perspective Study: A Qualitative Investigation On The Impact Of Hybrid Working On Employee Way Of Life And The Need To Reshape The Employee Value Proposition In The Health Insurance Industry Of The Uae, Kanishka Chandanamali Athalage

Thesis/ Dissertation Defenses

This dissertation details a post-pandemic qualitative investigation conducted to understand the impact of hybrid working solutions on reshaping the employee value proposition (EVP) in the health insurance industry of the UAE. The research aims to evaluate how the introduction of modern hybrid working solutions impacts employees in a post-pandemic environment and, in turn, whether this creates a demand for human resources to refocus drivers of the EVP. Traditionally, EVP is referred to as the overall give-and-get in an employment deal; however, the pandemic was an eye-opener for organizations to redefine what it entails. Since hybrid working has become the new …

Athletic Recruitment Analysis In Higher Education, Landon Palmer

Posters-at-the-Capitol

Since athletic programs are often viewed as the front porch of the higher education institutions, recruiting talented student-athletes is vital and challenging task under the unreasonable demand of high performance, limited and decreasing budget, and dwindling student enrollment. Additionally, the increasing use of Name, Image, and Likeness (NIL) deals and transfer portal across the nation have made administrators and coaches worried about their effect on recruitment and program retention. These practices make the recruiting process even more competitive. Through the responses of 106 student-athletes of a regional state university in Eastern Kentucky, the researchers identified respondents’ perception concerning these newly …

Towards Assessing Cybersecurity Posture Of Manufacturing Companies: Review And Recommendations, John Del Vecchio, Yair Levy, Ling Wang, Ajoy Kumar

KSU Proceedings on Cybersecurity Education, Research and Practice

With the continued changes in the way businesses work, cyber-attack targets are in a constant state of flux between organizations, individuals, as well as various aspects of the supply chain of interconnected goods and services. As one of the 16 critical infrastructure sectors, the manufacturing sector is known for complex integrated Information Systems (ISs) that are incorporated heavily into production operations. Many of these ISs are procured and supported by third parties, also referred to as interconnected entities in the supply chain. Disruptions to manufacturing companies would not only have significant financial losses but would also have economic and safety …

Quantum Computing: Computing Of The Future Made Reality, Janelle Mathis

KSU Proceedings on Cybersecurity Education, Research and Practice

Abstract—Quantum computing is an emerging new area focused on technology consisting of quantum theory aspects such as electrons, sub-atomic particles, and other materials engineered using quantum mechanics. Through quantum mechanics, these computers can solve problems that classical computers deem too complex. Today the closest computing technology compared to quantum computers are supercomputers, but similarly to classical computers, supercomputers also have faults. With supercomputers, when a problem is deemed too complex, it is due to the classical machinery components within the computer, thus causing a halt in solving the task or problem. In contrast, these problems could be solved with a …

Rfid Key Fobs In Vehicles: Unmasking Vulnerabilities & Strengthening Security, Devon Magda, Bryson R. Payne

KSU Proceedings on Cybersecurity Education, Research and Practice

No abstract provided.

The Impact Of Individual Techno-Characteristics On Information Privacy Concerns In The Diffusion Of Mobile Contact Tracing, Jiesen Lin, Dapeng Liu, Lemuria Carter

KSU Proceedings on Cybersecurity Education, Research and Practice

In the wake of the global health crisis, mobile contact tracing applications have emerged as important tools in managing disease spread. However, their effectiveness heavily relies on mass adoption, significantly influenced by the public's information privacy concerns. To date, systematic examination of how these privacy concerns relate to the innovation adopter categories in mobile contact tracing remains sparse. Furthermore, the influence of individual techno-characteristics on these concerns is to be explored. This research seeks to fill these gaps. Drawing on the diffusion of innovation theory, we examine the impact of the key techno-characteristics—adopter category, propensity for identification misrepresentation, and exposure …

Exploring Information Privacy Concerns During The Covid-19 Pandemic: A Juxtaposition Of Three Models, Dapeng Liu, Lemuria Carter, Jiesen Lin

KSU Proceedings on Cybersecurity Education, Research and Practice

Government agencies across the globe utilize mobile applications to interact with constituents. In response to the global pandemic, several nations have employed contact tracing services to manage the spread of COVID-19. Extent literature includes various models that explore information privacy. Several researchers have highlighted the need to compare the effectiveness of diverse information privacy models. To fill this gap, we explore the impact of information privacy concerns on citizens’ willingness to download a federal contact tracing app. In particular, we compare three types of prevalent information privacy concerns: global information privacy concerns (GIPC), concern for information privacy (CFIP), and internet …

Aftdc 2024 Session I English.- Decoding Complexity: Visualizing The Trans-Disciplinary Communication (Tdc) Logarithmic Spiral, Jasmin Cowin

Trans-Disciplinary Communication

No abstract provided.

Aftdc 2024 Session Ii Español.- Open Science Framework (Osf) Como Herramienta Para La Colaboración Transdisciplinaria, Cristo Leon

Trans-Disciplinary Communication

No abstract provided.

Aftdc 2024 Open Discussion On The Association's Vision: An Opportunity For All Members To Share And Shape The Future Direction Of Aftdc, Cristo Leon

Trans-Disciplinary Communication

No abstract provided.

Aftdc 2024 Keynote.- The Significance And Vital Role Of Student Participation In Peer Review For Transdisciplinary Communication, Nagib Callaos

Trans-Disciplinary Communication

Join Dr. Nagib Callaos at the inaugural AFTDC meeting for a groundbreaking keynote on the transformative role of student participation in peer review for transdisciplinary communication. Delve into the intellectual, educational, and pragmatic benefits as Dr. Callaos explores the impact on personal and societal good. Discover how this practice enhances critical thinking, intellectual diversity, and adaptability in the face of rapid technological and societal changes. Learn about the significant role of educational systems in fostering intellectual diversification and skill development. The keynote will highlight the unique value of engaging students in peer review processes, especially in transdisciplinary settings, underlining its …

Aftdc 2024 Roundtable I.- Collaborative Convergence Pyramid: A Framework For Tdc, James Lipuma Dr., Cristo Leon

Trans-Disciplinary Communication

No abstract provided.

Aftdc 2024 Welcome And Opening Remarks, Cristo Leon, James Lipuma Dr.

Trans-Disciplinary Communication

Our primary focus is to discuss the effective establishment, nurturing, and expansion of chapters within the American Association for Trans-Disciplinary Communication (AFTDC).

Impact Of Organizational Culture And Leadership In Professional Environments, Eli Wolman

Capstone Showcase

This paper addresses the importance of a strong organizational culture and effective leadership in a professional working environment. Leadership has been shown to profoundly impact a professional working environment's performance, productivity, mental well-being, and goal attainment. Organizational Culture is the set of values and norms a group shares. As influential organizational culture proves to be effective, leadership may come in the form of several styles, including transformational leadership, directive leadership, or empowering leadership, which also play a pivotal role in the success of a group. Ultimately, even though this paper primarily prioritizes the implications of leadership and culture on professional …

How Chatgpt Can Be Used As A Defense Mechanism For Cyber Attacks, Michelle Ayaim

Cybersecurity Undergraduate Research Showcase

The powers of OpenAI's groundbreaking AI language model, ChatGPT, startled millions of users when it was released in November. But for many, the tool's ability to further accomplish the goals of evil actors swiftly replaced their initial excitement with significant concerns. ChatGPT gives malicious actors additional ways to possibly compromise sophisticated cybersecurity software. Leaders in a sector that is currently suffering from a 38% global spike in data breaches in 2022 must acknowledge the rising influence of AI and take appropriate action. Cybercriminals are writing more complex and focused business email compromise (BEC) and other phishing emails with the assistance …

Financial Integration And Exchange Market Pressure, Kate Phylaktis, Muhammad Aftab

CBER Conference

This study examines the role of financial integration on exchange market pressure (EMP) across a representative group of forty-two advanced and emerging markets over the period 2000-2019, which covers the global financial crisis, which has heightened monetary and economic policy uncertainty. We use a novel measure of financial integration, namely the uncovered equity return differential versus the US, which is based on the Uncovered Equity Parity and is available at a monthly frequency.

Kerala’S International Tourism Demand: An Inquiry Into The Validity Of The Standard And Regular Determinants, Muhammed Salim Anappattath

CBER Conference

The present study aims to identify the role of standard factors and other regular potential determinants in influencing the tourist arrivals in Indian state of Kerala. We used month-wise data of the foreign tourist arrivals in Kerala from January 2002 to December 2019 and applied auto-regressive distributed lagged (ARDL) approach, with the seasonality-adjusted data, for the same.