Digital Commons Network^™

"Attacking" Big Data: Strategic Competition, The Race For Ai, And The International Law Of Cyber Sabotage, Gary P. Corn, Eric Talbot Jensen

Faculty Scholarship

This chapter begins with a discussion of the national security threat that China’s AI development efforts pose, and the importance of big data to those efforts. It then moves to a review of potential cyber-enabled operations, particularly as applied to data, that could impede or thwart China’s AI development. The chapter then proceeds to a review of the international law implications of cyber sabotage, beginning with a discussion of the jus ad bellum and followed by a review of other relevant aspects of the international law of state responsibility such as the rule of prohibited intervention, principles of state sovereignty, …

"Accompanying The Force" In Modern Armed Conflict, Eric Talbot Jensen

Faculty Scholarship

Throughout history, non-military personnel have routinely accompanied fighting forces on the battlefield for purposes of providing their goods or services to the forces. The 1863 Lieber Code codified many rules concerning the interaction of the armed forces, but it also addressed civilians accompanying such professional forces, including both those “who are attached to the army for its efficiency and promote directly the object of the war” and those “citizens who accompany an army for whatever purpose, such as sutlers, editors, or reporters of journals, or contractors.”
Because of their proximity to the fight, it was inevitable that some of these …

Frederick Douglass And The Original Originalists, Bradley Rebeiro

Faculty Scholarship

Constitutional scholars incessantly grapple over the significance of the Constitution’s original meaning. More specifically, they are preoccupied with, on the one hand, what that meaning is (if such meaning exists) and, on the other hand, the exact nature of that meaning’s authority (if any) over the Constitution and its interpreters. But this debate is hardly novel. In fact, one of the most compelling voices in U.S. history was immersed in similar debates and, out of the constitutional sparring of his time, forged an arresting theory of constitutional interpretation. Frederick Douglass, once a fierce opponent of the U.S. Constitution, evolved into …

Finding A Better Way: An Alternative Path To Attorney Licensure In Utah, Catherine Bramble

Faculty Scholarship

The article describes an alternative path to attorney licensure in Utah.

Deciphering Medical Errors: What Matters For Patients On Social Media, Tareq Nasralah, Omar El-Gayar, Lee W. Yang, Abdullah Hamdi Saleh Wahbeh

Research & Publications

No abstract provided.

Bayesian Social Subgraph Generative Models: Social Network Twins Using Belief Networks And Ego Behavior Models, Nagraj Naidu, Omar El-Gayar

Research & Publications

No abstract provided.

Discovering Mhealth Users’ Privacy And Security Concerns Through Social Media Mining, Mitchell Damion, Omar El-Gayar

Research & Publications

No abstract provided.

Mining Health Informatics Job Advertisements: Insights For Higher Education Programs And Job Seekers, Ahmed Elnoshokaty, Mohammad Al-Ramahi, Omar El-Gayar, Tareq Nasralah, Abdullah Hamdi Saleh Wahbeh

Research & Publications

This paper used web scraping and data mining to analyze 831 health informatics job advertisements on indeed.com. Results showed that 87% of jobs explicitly required a college degree in a related field, 41% of jobs preferred a graduate degree, while 29% preferred or required professional certification. The analysis showed that preferred skills were analytics problem solving, communication skills, oral communication, interpersonal skills, project management, statistics, and critical thinking. The analysis also showed that college degrees, certifications, and the above-mentioned skill set are in high demand for working in the field of health informatics, especially in states with large populations and …

Conversational Agents For Mental Health And Well-Being: Discovering Design Recommendations Using Text Mining, Abdullah Wahbeh, Mohammad Al-Ramahi, Omar El-Gayar, Ahmed Elnoshokaty, Tareq Nasralah

Research & Publications

Conversational agents are increasingly being used by the general population due to shortages in healthcare providers and specialists, and limited access to treatments. They are also used by people to deal with loneliness and lack of companionship. As these apps are increasingly replacing real humans, there is a need to explore their design features and limitations for better design of conversational apps. Using text mining and topic modeling, this study analyzed a total of 126,610 reviews about Replika, a popular and well-established conversational agent mobile app. Our results emphasized current practices for designing conversational apps while at the same time …

Is Artificial Intelligence Attractive? An Empirical Study On User’S Intention To Use Ai-Enabled Applications, Omar F. El-Gayar, Gary Yu Zhao, Cindy Zhiling Tu

Research & Publications

Artificial Intelligence (AI) technologies such as machine learning (ML), natural language processing (NLP), and image recognition, are being incorporated into a wide variety of applications. These AI-enabled applications (AI apps) promise to reshape people's lives. However, despite the proliferation of AI-related research, very little research has focused on how AI apps' unique characteristics affect an individual's adoption behavior. This study examines factors influencing an individual's intention to use AI apps with a proposed research model based on the Task Technology Fit (TTF) as the underlying theoretical framework. The research model is empirically evaluated using the survey data and SEM method. …

The Applications Of Artificial Intelligence In Managing Project Processes And Targets: A Systematic Analysis, Cherie Noteboom, Martinson Ofori, Zixing Shen

Research & Publications

Artificial intelligence (AI) has emerged as the defining technology of the 21st century and has far-reaching impacts on project management (PM). This study assesses the applications of AI in managing project processes and targets through a systematic analysis of publications from 2017 to 2021. The analysis has revealed interesting insights, trends, gaps, and issues. This study informs the researchers and practitioners of the status of AI applications in the management of project processes and targets. It helps stimulate research efforts that can lead to more advances in applying AI to augment PM practices.

Power-Aware Fog Supported Iot Network For Healthcare Infrastructure Using Swarm Intelligence-Based Algorithms, Hafiz Munsab Ali, Syed Ahmad Chan Bukhari, Tahir Hameed, Jun Liu, Alain Bertrand Bomgni

Research & Publications

Healthcare services become increasingly technology dependent every passing day such as the Internet of Things (IoT), Fog Computing, 5th generation (5G) and beyond communications, etc. They enable the processing and exchange of huge volumes of healthcare data whose integrity and real-time delivery are critical for healthcare services. Optimal power consumption in such essential healthcare infrastructure is critical for the well-being of patients and crucial to reduce the operational cost of healthcare facilities. In this paper, a Fog node has been introduced in an IoT healthcare infrastructure with power consumption as a key deciding factor. This work proposed a mathematical formulation …

The Well-Being Of A University: The Relationship Between Gratitude And Organizational Commitment On Faculty Members' Intention To Stay, Brenda Merkel, Kristi Bockorny, Amber Henderson, Aaron Scholl

Research & Publications

Retaining good employees can be difficult , and no organization is immune. This study investigated the relationship between gratitude and organizational commitment to determine if they can predict the intention to stay among university faculty. Specifically, this study analyzed gratitude, a construct that has not been researched much in the workplace. There was a significant relationship between gratitude on organizational commitment. Gratitude and organizational commitment were important predictors of intention to stay. Gratitude was supported as a moderator between organizational commitment and intention to stay. Organizations should incorporate posititve reinforcements to express gratitude to increase organizational commitment and intent to …

Annual Report 2022-2023, Office Of Community Engagement

News, Magazines and Reports

Letter from Annie Johnson, Director, and Arlete Perez Paez, Assistant Director:

As we celebrate the beginning of summer, we pause to reflect on the changes, successes, and collaborations of this past academic year.

In January, we welcomed Francis Origanti as the interim Vice President for the Mission Integration department and are assisting with the search of Executive Director for the department as well. Additionally, Arlete Perez Paez was promoted to Assistant Director; the office also will be hiring a fulltime Coordinator for Community Partnerships in time for start of the new academic year.

We are also excited to share that …

Mofx-Db: An Online Database Of Computational Adsorption Data For Nanoporous Materials, N. Scott Bobbitt, Kaihang Shi, Benjamin J. Bucior, Haoyuan Chen, Nathaniel Tracy-Amoroso, Zhao Li

School of Integrative Biological & Chemical Sciences (Formerly Dept. of Chemistry)

Machine learning and data mining coupled with molecular modeling have become powerful tools for materials discovery. Metal–organic frameworks (MOFs) are a rich area for this due to their modular construction and numerous applications. Here, we make data from several previous large-scale studies in MOFs and zeolites from our groups (and new data for N2 and Ar adsorption in MOFs) easily accessible in one place. The database includes over three million simulated adsorption data points for H2, CH4, CO2, Xe, Kr, Ar, and N2 in over 160 000 MOFs and 286 zeolites, textural properties like pore sizes and surface areas, and …

Commentaries On “Scale Use And Abuse: Toward Best Practices In The Deployment Of Scales”, Constantine S. Katsikeas, Shilpa Madan, C. Miguel Brendl, Bobby J. Calder, Donald R. Lehmann, Hans Baumgartner, Bert Weijters, Mo Wang, Chengquan Huang, Joel Huber

Research Collection Lee Kong Chian School Of Business

Five comments below provide strong and interesting perspectives on multi-item scale use. They define contexts and research areas where developed scales are valuable and where they are vulnerable. Katsikeas and Madan begin by taking a global perspective on scale use, demonstrating how the use and transferability of scales become even more problematic as researchers move across languages and cultures. They provide guidance for scale use that is particularly relevant to international marketing and marketing strategy research. Brendl and Calder acknowledge the use of well-formed scales as measured variables in psychological experiments, both as independent and dependent variables, but critique the …

It's Quite Good Fun: A Qualitative Study Of A Singing/Songwriting Programme For People With Parkinson's Disease And Their Spouses, Deborah Hersh, Shi J. Kong, Jessica Smith

Research outputs 2022 to 2026

Background: : Group singing for people with Parkinson's disease (PD) is an established intervention not only to improve voice and speech difficulties but also for emotional and social benefit. Less is known about the experiences of group singing on the couple—the person with PD and their spouse or partner together—and studies have not specifically tracked impact through time or in combination with songwriting. Aims: : To understand the impact of group singing/songwriting on couples (participants with PD and their spouses) to unpack whether this broader view might help explain why such interventions are reported as beneficial. Using a trajectory approach, …

Re-Enactment As Conversation: Yoshiko Shimada’S Becoming A Statue Of A Japanese Comfort Woman, Vahri Mckenzie, Jen Webb

Research outputs 2022 to 2026

‘Since Plotinus’, writes Joseph Tanke (2019, p. 486), ‘Western art has been consecrated to beauty, and beautiful art has been understood as the achievement of good form’. But alongside this interest in beauty and form, art has been committed to politics and perspectives, equity and rights. Consequently, and particularly since the start of the modern era, artists frequently initiate or participate in ‘difficult conversations’. . . .

Moderating Effects Of Relationship Length And Contact Frequency On Customer Citizenship Behaviors, Laee Choi, Mi Ran Kim

ICHRIE Research Reports

Studies show that contact frequency and relationship length impact co-creative and in-role behaviors with service providers. However, their influence on extra-role or customer citizenship behaviors (CCBs) remains unexplored. This study delves into the moderating role of relationship length and contact frequency within the CCB model. Utilizing an online survey (n = 665), the study unveils that perceived justice’s impact on affective commitment is not moderated by contact frequency, whereas the impact is stronger in short-term than in longer-term relationships. The perceived support-affective commitment-CCBs relationship is stronger in high contact than in low contact group. Similarly, the relationship is stronger for …

W-Sitting Position In Children And Its Musculoskeletal Implication, B.V. Murlimanju, Jayashree K, Suchetha S. Rao

Manipal Journal of Medical Sciences

W-sitting is a sitting position observed in a few children, where the child sits over the floor with his or her bent knees and legs positioned to the sides, making a ‘W’ shape. This sitting posture, if practiced very often can lead to the forward pelvic tilt and medial rotation of the hip. Children who suffered from cerebral palsy can present with abnormal sitting postures, including the W-sitting. Adaptive sitting and physiotherapy can be advised to improve the sitting posture and overall motor function in these children. However, a few studies suggested that there is no significant association between this …

Effect Of Different Nanoparticles Spp Grating On Gaas Pin Photodetector Performance, Nada Abdelaziz, Eman Abdelhalim, Waleed M. Gaballah, Ahmed S. Samra

Mansoura Engineering Journal

GaAs is currently one of these compound semiconductors' most preferred options for use in photodetector and photovoltaic applications as its increased mobility of electron and states density, in addition to its lower temperature coefficient when compared to silicon [Si]. Different metallic concerning wavelength of light and nanostructures geometry, subwavelength slit structures have plasmonic impacts and could develop a high light intensity region. All of frequencies within the spectrum of interior visible are absorbed inside the bonds, and as a result of their empty states of electron, they can move across the metal by electron transition. In this work, GaAs PIN …

Artificial Intelligence In Corneal Topography: A Short Article In Enhancing Eye Care, Guma Ali, Marwa M. Eid, Omar G. Ahmed, Mostafa Abotaleb, Anas M. Zein Alaabdin, Bosco Apparatus Buruga

Mesopotamian Journal of Artificial Intelligence in Healthcare

The eye is a critical part of the human being, as it provides complete vision and the ability to receive and process visual details, and any deficiency in it may affect vision and loss of sight. Corneal topography is one of the essential diagnostic tools in the field of ophthalmology, as it can provide important information about the cornea and the problems that appear in it. Artificial intelligence strategies contribute to the development of the healthcare domain through a group of approaches that have a significant and vital impact on improving the field of ophthalmology. The primary purpose of this …

Artificial Intelligence's Significance In Diseases With Malignant Tumours, Ruchi Doshi, Kamal Kant Hiran, Murat Gök, El-Sayed M. El-Kenawy, Amr Badr, Mostafa Abotaleb

Mesopotamian Journal of Artificial Intelligence in Healthcare

In the field of medicine, artificial intelligence has become a useful tool, particularly in the diagnosis and treatment of disorders with malignant tumours. Deep learning and machine learning algorithms, for example, have significant promise for increasing the precision and effectiveness of tumour diagnosis and treatment. The importance of AI in diseases with malignant tumours is examined in this work, with particular attention paid to its function in medication discovery, therapy prediction, and medical imaging analysis. It also emphasizes the difficulties and restrictions related to the application of AI, such as problems with poor data quality, as well as the requirement …

Employing Artificial Intelligence Methods In Drug Development: A New Era In Medicine, Omega John Unogwu, Mabel Ike, Opkanachi Omatule Joktan

Mesopotamian Journal of Artificial Intelligence in Healthcare

Artificial intelligence (AI) plays a vital role in the development of pharmaceuticals. The whole drug development process, from target identification and lead optimization to clinical trials and post-marketing monitoring, has the potential to be revolutionized by AI. Data analysis is a crucial area where AI thrives. To find trends, correlations, and prospective targets for therapeutic intervention, AI systems can analyse enormous volumes of data, including electronic health records, molecular databases, academic literature, and clinical trial data. This saves time and resources by enabling researchers to decide which compounds or pathways to investigate. Lead optimization is another area where AI is …

The Benefit Of Artificial Intelligence In The Analysis Of Malignant Brain Diseases: A Mini Review, Humam Imad Wajeeh Al-Shahwani, Alaa K. Faieq

Mesopotamian Journal of Artificial Intelligence in Healthcare

Brain diseases are considered life-threatening malignant diseases. Malignant brain diseases, such as glioblastoma multiforme (GBM) and metastatic brain tumours, present significant challenges as doctors and healthcare workers must constantly monitor the patient's condition due to their aggressive nature and limited treatment options. In recent decades, artificial intelligence techniques and practices have developed significantly in medical imaging disease diagnosis and contributing to the development of vaccines and vaccines. In this article, we will highlight the ability of artificial intelligence techniques to analyse and diagnose malignant brain diseases, enhance early detection of the disease, and help doctors treat patients. This article concluded …

Treating Psychological Depression Utilising Artificial Intelligence: Ai For Precision Medicine- Focus On Procedures, Marwa M. Eid, Wang Yundong, George Benneh Mensah, Pramila Pudasaini

Mesopotamian Journal of Artificial Intelligence in Healthcare

Depression is a common and complex mental health condition that affects millions of people in the world. Medical advice, medications, and constant medical supervision by a specialist are common components of traditional treatment methods. Recently, there has been a growing interest in the potential of artificial intelligence to improve the diagnosis, monitoring, and treatment of depression. The potential of artificial intelligence algorithms has been demonstrated in the development of chatbots, or virtual agents, that can provide treatment, assistance, and support to individuals with depression. These artificial intelligence (AI) systems can simulate therapy sessions, offer strategies, monitor progress in treatment phases, …

Diabetes At A Glance: Assessing Ai Strategies For Early Diabetes Detection And Intervention, Ban Salman Shukur, Noorayisahbe Mohd Yaacob, Mohamed Doheir

Mesopotamian Journal of Artificial Intelligence in Healthcare

For the early identification of diabetes, a chronic illness that affects millions of people globally, artificial intelligence (AI) shows enormous promise. AI algorithms can recognize diabetes signs and give patients and healthcare providers early warnings by examining a variety of data sources, such as medical records, patient histories, and lifestyle factors. AI's capacity to evaluate sizable and intricate datasets is one of its main advantages in the diagnosis of diabetes. AI is capable of taking into account a broad range of variables that could lead to diabetes, such as age, BMI, food preferences, physical activity, and genetic predisposition. Artificial intelligence …

To The Moon: Strategic Competition In The Cislunar Region, Shawn M. Willis

Faculty Publications

China’s advancing space capabilities, particularly in the cislunar region, call for increased cislunar space domain awareness on the part of the United States. US military and civilian decisionmakers must take into account the full scope of China’s cislunar plans and capabilities as the military builds space strategies and future force designs. The United States must also increase near-term investments that support more robust cislunar space domain awareness.

Debt Textualism And Creditor-On-Creditor Violence: A Modest Plea To Keep The Faith, Eric L. Talley, Sneha Pandya

Faculty Scholarship

In this article, we argue that debt textualism played a key role in laying the groundwork for our present malaise by encouraging contracts to become increasingly bloated, complex, and rigid up to the point of buckling completely. The dense contractual landscape wrought by debt textualism, when freshly populated with a calculating coterie of financial mercenaries, has transformed corporate lending markets into an elaborate and costly contest of Hunger Games-worthy contractual “gotcha” where (a) lenders scour loan agreements for unappreciated loopholes to undercut borrowers; (b) borrowers do the same in an attempt to counteract lenders; and (c) permutated coalitions from …

Approaches To Sea Level Rise And International Law: A Comparative View Of Emerging Policy Responses By The African And The Americas Regions, Charles Chernor Jalloh

Articles

No abstract provided.