Digital Commons Network^™

Associations Between Social Media And Mood, Madison Connors

Undergraduate Theses and Senior Projects

Since its emergence, social media has evolved quickly and to become more widespread year by year (Pew Research Center, 2021). Along with the steady increase of social media use, there has also been a steady increase in depression in the United States, especially in those aged 12-17 (Mental Health America, 2022). This purpose of this study was to examine the relationship between social media and mental health by replicating a study conducted by Shensa and colleagues (2017) that investigated the relationship between social media use and depression in U.S. young adults, but also to include measures of fear of missing …

Surgical Reconstruction Of The Anomalous Left Coronary Artery From The Pulmonary Artery, Slobodan Micovic, Petar Milacic, Miroslav Milicic, Milica Brkovic, Petar Vukovic, Igor Zivkovic

The Texas Heart Institute Journal

The anomalous left coronary artery from the pulmonary artery is a rare congenital disease. Early surgical reconstruction is mandatory to prevent adverse cardiac events. Direct coronary button transfer, vein graft interposition, ligation, and coronary artery bypass construction are the most commonly used techniques. This case report presents a modified technique of Dacron graft interposition and reimplantation anomalous left coronary artery from the pulmonary artery on the ascending aorta.

A Case Of Biventricular Hypertrophic Obstructive Cardiomyopathy: Echocardiographic Diagnosis, Michiyo Yamano, Takeshi Nakamura, Tetsuhiro Yamano, Satoaki Matoba

The Texas Heart Institute Journal

No abstract provided.

Cardiac Fibroma Presenting With Left Bundle Branch Block In An Adult With Gorlin Syndrome, Kumar Jatti, Ramya Dhandapani, Vishal Sharma, Balazs Ruzsics

The Texas Heart Institute Journal

No abstract provided.

Mitral Valve Surgery In Patients With An Implanted Amplatzer Septal Occluder: A Review Of 2 Cases, Ufuk Sayar, Nurel Ertürk

The Texas Heart Institute Journal

Surgical approaches for mitral valve exploration vary, with the preferred approach being via the interatrial groove. Data on whether the interatrial groove approach can be used for mitral valve surgery in patients with a previously implanted Amplatzer septal occluder (ASO) (St Jude Medical, an Abbott company) are extremely limited. The authors performed mitral valve surgery using the transatrial septal approach on 2 patients following explantation of an ASO, which significantly impedes the interatrial groove approach. Concomitant surgical procedures with mitral valve replacement, removal of the ASO, and closure of an atrial septal defect with a patch significantly prolonged the cross-clamp …

Mobilenetv1-Based Deep Learning Model For Accurate Brain Tumor Classification, Maad M. Mijwil, Ruchi Doshi, Kamal Kant Hiran, Omega John Unogwu, Indu Bala

Mesopotamian Journal of Computer Science

Brain tumors are among the most dangerous diseases that lead to mortality after a period of time from injury. Therefore, physicians and healthcare professionals are advised to make an early diagnosis of brain tumors and follow their instructions. Magnetic resonance imaging (MRI) is operated to provide sufficient and practical data in detecting brain tumors. Applications based on artificial intelligence contribute a very large role in disease detection, provide incredible accuracy and assist in creating the right decisions. In particular, deep learning models, which are a significant part of artificial intelligence, have the ability to diagnose and process medical image datasets. …

Unlocking The Full Potential Of Spectrum: A Comprehensive Review Of Cognitive Radio Technology, Indu Bala, Maad M. Mijwil

Mesopotamian Journal of Computer Science

Wireless networks are confronted with enormous challenge because of the limited availability of radio spectrum, which has culminated in spectrum congestion and ineffective utilization of the spectrum's resources. This has led to a great deal of innovation in both communication and mobile devices that enable the delivery of high-quality multimedia content from various sources. However, despite these advances, there is still a need to find new ways to utilize existing frequency bands. Recent years have witnessed an awful research on cognitive radio (CR) based networks development. This review paper provides a comprehensive overview of CR technology, its capabilities, and its …

Study And Analysis Of Ofdm Under Rayleigh Fading Channel Using Various Modulation Methods, Sowmya Kalakoti, Uday Kiran Vashapaka, Mokshith Reddy Gujjula, Harika Surasi, Siddartha Kusuma

Mesopotamian Journal of Computer Science

Orthogonal Frequency Division Multiplexing (OFDM) is well recognized as a very efficient multicarrier technology. OFDM has witnessed a significant increase in its utilization within contemporary wideband digital communication systems. The technology possesses several notable benefits, including its capacity to effectively manage challenging channel circumstances, optimize spectrum utilization, mitigate inter symbol interference (ISI), and support high data transmission rates. Hence, it has been employed in several forthcoming wired and wireless communication systems, such as 4G LTE mobile communications. This work primarily concentrates on the performance assessment and investigation of the OFDM system in the presence of Rayleigh fading channels. By analyzing …

Exploring The Evolution Of Ai Integration In English As A Foreign Language Education: A Scopus-Based Bibliometric Analysis (1997-2023), Mohanad G. Yaseen, Sara S. Alnakeeb

Mesopotamian Journal of Computer Science

Significant scholarly interest has been focused on the use of AI in English as a Foreign Language (EFL) instruction because it presents novel opportunities for improving language learning contexts and pedagogical approaches. This study provides an in-depth investigation into how AI is revolutionizing English as a foreign language (EFL) instruction, with special focus on the ways in which this technology can help students acquire a language in a fun, engaging, and one-on-one setting. This research examines the ethical and sociological implications of the broad integration of AI technology into language learning environments, highlighting major trends and identifying critical gaps through …

Divine Attachment: A Canonical Model For Discipleship And Religious Education, Kristina Marie Freed

Dissertations

Problem

Christianity is in decline in the United States and, with it, discipleship engagement. While several explanations and many remedies have been offered as solutions to the problem over the last half-century, demographic research shows that the decline continues. The problem addressed in this dissertation is the lack of a theological model to augment psychological models of religious attachment theory. The research sought to identify a canonical model of divine attachment which may contribute to the revitalization of personal discipleship and religious education by offering a new relational context. This model is based on an understanding of God as an …

"A Raisin In A Box": The Experiences Of Racialized Black Males In Leadership Roles In The Non-Profit Sector In Toronto, Canada, Morris Anthony Beckford

Dissertations

Problem

The marginalization of Black and other racialized bodies (people of colour) has led to the position of a leader becoming so synonymous with Whiteness that it is normalized and naturalized; and worse, there has been limited analysis about why this is so. There is even less analysis of the experiences of the few people of colour who occupy leadership roles in organizations (Berkshire, 2008; Bradshaw et al., 2009; Mills et al., 2010; Nkomo, 2011; Ospina & Foldy, 2009). Astonishingly, organizations in diverse communities also have exiguous conversations about such salient issues like race and gender even though there is …

Assessing Spurious Correlations In Big Search Data, Jesse T. Richman, Ryan J. Roberts

Political Science & Geography Faculty Publications

Big search data offers the opportunity to identify new and potentially real-time measures and predictors of important political, geographic, social, cultural, economic, and epidemiological phenomena, measures that might serve an important role as leading indicators in forecasts and nowcasts. However, it also presents vast new risks that scientists or the public will identify meaningless and totally spurious ‘relationships’ between variables. This study is the first to quantify that risk in the context of search data. We find that spurious correlations arise at exceptionally high frequencies among probability distributions examined for random variables based upon gamma (1, 1) and Gaussian random …

An Exploratory Study Of Entrepreneurial Intention Among Hispanic Entrepreneurs In Toronto, Jorge Perez Moreno

Dissertations

The Problem

Entrepreneurship scholars have claimed that immigrants are more likely to become self-employed due to limited job opportunities, access to social networks, cultural background, necessity, and education and skills. However, the entrepreneurial experience of Hispanic immigrants in Toronto has yet to be examined. This quantitative study examined the attitudes, norms, and perceptions influencing entrepreneurial intention and the factors that encourage self-employment continuation among immigrants in Canada.

Method

This study used a survey questionnaire of ninety-four Hispanic entrepreneurs in Toronto to comprehend their entrepreneurial intention. It examined their proficiencies, studied their business characteristics, and predicted their behavior toward self employment …

Self-Regulation And Academic Motivation As Predictors Of Academic Achievement Of Undergraduate Students In An Online Learning Environment, Sonia Almwalad

Dissertations

Problem

Online learning is a form of distance education that occurs via the Internet (Adams, 2004; Carliner, 1999). The success of online learning depends on student-related factors such as acceptance, willingness, and motivation (Almaiah et al., 2019; Almaiah et al., 2020). When online learning systems are not utilized, students cannot realize the concomitant benefit of improved performance. Online learning has many positives, but it does present a problem when it comes to academic success. Motivation and self-regulation are two of the key factors for successful online learning given that students are subject to minimal supervision or guidance from teachers in …

Conceptual Metaphor Usage In Glenn Youngkin’S 2021 Gubernatorial Campaign, Sara Rose Hotaling

Political Science & Geography Faculty Publications

In “Conceptual Metaphor in Everyday Language,” Lakoff and Johnson suggest that conceptual metaphors pervade everyday language and produce the reality of our world. Conceptual metaphors act similarly within the occupational register of political campaigns in that they both support and construct a set of beliefs that become the reality of politicians, political parties, and constituents. In this language research, the conceptual metaphors employed by Virginia Governor Glenn Youngkin during his 2021 gubernatorial campaign were identified, analyzed, and categorized. The corpus of this research consists of two gubernatorial debates, three campaign speeches, and one television interview. An example of conceptual metaphor …

An Examination Of The Influence Of Ethnic Identity, Spirituality, And Social Support As Predictors Of Resilience Among Black Male College Graduates Born In The United States, Sandy Belizaire

Dissertations

Problem

This study aimed to assess the influence of ethnic identity, spirituality, and social support on resilience among Black males (BM) who were born in the United States of America and are recent college graduates. The achievement gap between BM and their counterparts is among education's most infuriating problems. Educators are more likely to dissuade Black men from going to college, and those who enroll drop out before they graduate (Noguera 2003; Wilborn 2013).

Method

This study employed a non-experimental, quantitative correlation research design using self-report questionnaires. The target population for this study was American-born Black males who were graduates …

The Impact Of Climate Change On Environmental Sustainability And Human Mortality, Xingzhi Mara Chen, Andrew Sharma, Hua Liu

Political Science & Geography Faculty Publications

Climate dictates the critical aspects of human environmental conditions. The frequency and intensity of extreme weather conditions due to human-induced climate change have alarmingly increased. Consequently, climate change directly affects environmental sustainability and human mortality in the short term and creates prolonged and complicated long-term indirect grave risks. This paper examines three-level environmental impact risks associated with climate change on human mortality. It proposes a conceptual framework for developing an empirical event-based human mortality database related to climate change and communication strategies to enhance global environmental adaptation, resilience, and sustainability.

S-400s, Disinformation, And Anti-American Sentiment In Turkey, Russell "Alex" Korb, Saltuk Karahan, Gowri Prathap, Ekrem Kaya, Luke Palmieri, Hamdi Kavak, Richard L. Wilson (Ed.), Major Brendan Curran (Ed.)

Political Science & Geography Faculty Publications

As social and political discourse in most countries becomes more polarized, anti-Americanism has risen not only in the Middle East and Latin America but also among the U.S. allies in Europe. Social media is one platform used to disseminate anti-American views in NATO countries, and its effectiveness can be magnified when mass media, public officials, and popular figures adopt these views. Disinformation, in particular, has gained recognition as a cybersecurity issue from 2016 onward, but disinformation can be manufactured domestically in addition to being part of a foreign influence campaign. In this paper, we analyze Turkish tweets using sentiment analysis …

A Model Of Build Back Better Utilization: Long-Term Recovery Groups And Post-Disaster Housing Recovery, Eduardo Landaeta, Jesse Richman

Political Science & Geography Faculty Publications

Housing recovery, especially for vulnerable populations, can be a challenging process. Questions regarding whether to rebuild damaged housing and whether to restore it to its previous state or to build back better must be answered. In the United States, Long-Term Recovery Groups (LTRGs) play a crucial role in channeling assistance to vulnerable community members as they embark on housing recovery. However, the experiences of LTRGs have been understudied. To address this gap, the study utilizes interviews with a diverse range of LTRG members and develops an agent-based model following the Overview, Design concepts, and Details (ODD) protocol. The results highlight …

Assessment Of Spatio-Temporal Variations In Pm2.5 And Associated Long-Range Air Mass Transport And Mortality In South Asia, Md Sariful Islam, Shimul Roy, Tanmoy Roy Tusher, Mizanur Rahman, Ryley C. Harris

Political Science & Geography Faculty Publications

Fine particulate matter (PM_2.5) is associated with adverse impacts on ambient air quality and human mortality; the situation is especially dire in developing countries experiencing rapid industrialization and urban development. This study assessed the spatio-temporal variations of PM_2.5 and its health impacts in the South Asian region. Both satellite and station-based data were used to monitor the variations in PM_2.5 over time. Additionally, mortality data associated with ambient particulate matter were used to depict the overall impacts of air pollution in this region. We applied the Mann–Kendall and Sen’s slope trend analysis tool to investigate the …

Advancing Estuarine Shoreline Change Analysis Using Small Uncrewed Autonomous Systems, Thomas R. Allen, Devon Eulie, Mariko Polk, George Mcleod, Robert Stuart, Alexandra Garnand, A. J. Manning (Editor)

Political Science & Geography Faculty Publications

Estuarine shorelines face the threats of accelerating sea-level rise, recurrent storms, and disruptions of natural sediment and ecological adjustments owing to historic human interventions. The growing availability and technical capability of uncrewed systems (UxS), including remote or autonomous aerial and surface vessels, provide new opportunities to study and understand estuarine shoreline changes. This chapter assesses the state of the technology, interdisciplinary science and engineering literature, and presents case studies from the Chesapeake Bay, Virginia, and coastal North Carolina, USA, that demonstrate new insights into coastal geomorphic processes and applications to managing complex and dynamic estuarine shorelines. These technologies enhance the …

Racialization And International Security, Richard W. Maass

Political Science & Geography Faculty Publications

Racialization—the processes that infuse social and political phenomena with racial identities and implications—is an assertion of power, a claim of purportedly inherent differences that has saturated modern diplomacy, order, and violence. Despite the field's consistent interest in power, international security studies in the United States largely omitted racial dynamics from decades of debates about international conflict and cooperation, nuclear proliferation, power transitions, unipolarity, civil wars, terrorism, international order, grand strategy, and other subjects. A new framework lays conceptual bedrock, links relevant literatures to major research agendas in international security, cultivates interdisciplinary dialogues, and charts promising paths to consider how overt …

2023-01-01 Retired & Senior Volunteer Program Newsletter, Morehead State University. Alumni Association.

Morehead State Alumni Association Publications

The January 2023 newsletter of the Morehead State University Retired & Senior Volunteer Program.

2023-2024 Retirees Association Newsletter, Morehead State University. Alumni Association.

Morehead State Alumni Association Publications

The Morehead State University 2023-2024 Retirees Association Newsletter.

Daily Heterosexist Experiences In Lgbtq+ Adults From Spain: Measurement, Prevalence, And Clinical Implications, Román Ronzón-Tirado, Ruby Charak, Ines Cano-Gonzalez

Psychological Science Faculty Publications

Lesbian, gay, bisexual, transgender, and queer (LGBTQ+) individuals face unique stressors related to their sexual and gender identities that have a detrimental impact on their mental health. Nonetheless, studies have not yet investigated these minority stressors among LGBTQ+ individuals from Spain. The limited availability of standardized tools/instruments to measure minority stressors in Spanish makes it challenging to explore these experiences among Spanish speaking individuals. The present study aimed to examine the factor structure of the Daily Heterosexist Experiences Questionnaire (DHEQ) among LGBTQ+ adults from Spain, compare rates of minority stressors across diverse gender and sexual orientations, and examine the impact …

Sinonasal Outcomes Using Oral Corticosteroids In Patients With Chronic Rhinosinusitis With Nasal Polyps And Positive Sinonasal Cultures, Jhon F. Martinez Paredes, Angela M. Donaldson, Michael Marino, Garret Choby, Osarenoma Olomu, Razan Alfakir, Janalee K. Stokken, Erin O'Brien, Devyani Lal

School of Medicine Publications

Introduction: Patients with chronic rhinosinusitis with nasal polyps (CRSwNP) and positive sinonasal bacterial cultures may be recalcitrant to topical therapy alone due to the additional local inflammatory burden associated with bacterial infection/colonization.

Objective: To evaluate sinonasal outcomes in CRSwNP patients with a positive perioperative bacterial culture, who were treated with postoperative intranasal corticosteroids (INCS) alone versus INCS in combination with a short-term course of oral corticosteroids (OCS).

Methods: This is a retrospective chart review of CRSwNP patients. A total of 59 patients met inclusion criteria, including positive perioperative bacterial culture and treatment with INCS with or without concomitant use of …

Dynamic Function Learning Through Control Of Ensemble Systems, Wei Zhang, Vignesh Narayanan, Jr-Shin Li

Publications

Learning tasks involving function approximation are preva- lent in numerous domains of science and engineering. The underlying idea is to design a learning algorithm that gener- ates a sequence of functions converging to the desired target function with arbitrary accuracy by using the available data samples. In this paper, we present a novel interpretation of iterative function learning through the lens of ensemble dy- namical systems, with an emphasis on establishing the equiv- alence between convergence of function learning algorithms and asymptotic behavior of ensemble systems. In particular, given a set of observation data in a function learning task, we …

Cooperative Deep Q -Learning Framework For Environments Providing Image Feedback, Krishnan Raghavan, Vignesh Narayanan, Sarangapani Jagannathan

Publications

In this article, we address two key challenges in deep reinforcement learning (DRL) setting, sample inefficiency, and slow learning, with a dual-neural network (NN)-driven learning approach. In the proposed approach, we use two deep NNs with independent initialization to robustly approximate the action-value function in the presence of image inputs. In particular, we develop a temporal difference (TD) error-driven learning (EDL) approach, where we introduce a set of linear transformations of the TD error to directly update the parameters of each layer in the deep NN. We demonstrate theoretically that the cost minimized by the EDL regime is an approximation …

Knowledge Graph Guided Semantic Evaluation Of Language Models For User Trust, Kaushik Roy, Tarun Garg, Vedant Palit, Yuxin Zi, Vignesh Narayanan, Amit Sheth

Publications

A fundamental question in natural language processing is - what kind of language structure and semantics is the language model capturing? Graph formats such as knowledge graphs are easy to evaluate as they explicitly express language semantics and structure. This study evaluates the semantics encoded in the self-attention transformers by leveraging explicit knowledge graph structures. We propose novel metrics to measure the reconstruction error when providing graph path sequences from a knowledge graph and trying to reproduce/reconstruct the same from the outputs of the self-attention transformer models. The opacity of language models has an immense bearing on societal issues of …

Moment-Based Reinforcement Learning For Ensemble Control, Yao-Chi Yu, Vignesh Narayanan, Jr-Shin Li

Publications

Problems involving controlling the collective behavior of a population of structurally similar dynamical systems, the so-called ensemble control, arise in diverse emerging applications and pose a grand challenge in systems science and control engineering. Owing to the severely under-actuated nature and the difficulty of placing large-scale sensor networks, ensemble systems are limited to being actuated and monitored at the population level. Moreover, mathematical models describing the dynamics of ensemble systems are often elusive. Therefore, it is essential to design broadcast controls that excite the entire population in such a way that the heterogeneity in system dynamics are robustly compensated. In …