Digital Commons Network^™

Predicting Takeover Rumor Accuracy With Machine Learning, Hamed Khadivar, Frederick Davis, Ameneh Khadivar, Ivan Stetsyuk

All Works

This study applies machine learning models such as TabNet, XGBoost, CatBoost, Support Vector Machines, a Multilayer Perceptron, and Logistic Regression to predict takeover-rumor accuracy using a proprietary dataset of 2074 rumor articles with identifiable target firms, screened from over 30,000 news articles from January 2002 to December 2011. In the raw feature (no-PCA) specification, Logistic Regression and TabNet perform similarly. After addressing class imbalance and applying dimensionality reduction (PCA), TabNet materially outperforms Logistic Regression and delivers economically meaningful gains: A TabNet-based long-short strategy earns higher average monthly abnormal returns than a Logistic Regression strategy at both horizons, 1.148% versus 0.773% …

Financing Climate Action Through Fair Taxation: How Sdg Engagement Reduces Corporate Tax Avoidance, Ahmed Aboud, Niccolò Nirino, Panagiota Papadimitri, Michael Christofi

All Works

The transition to a low-carbon economy, central to achieving Paris Agreement targets and Sustainable Development Goal 13 (Climate Action), requires unprecedented public and private investment. A significant climate financing gap persists, however, exacerbated by corporate practices that erode the public revenue base. This paper investigates a critical, yet often overlooked, component of corporate responsibility: tax avoidance. We examine the impact of firm-level sustainable development goal (SDG) disclosure on corporate tax avoidance using an international sample of 7213 firms operating in 81 countries over the period 2019–2023. Our analysis reveals a robust inverse relationship between SDG disclosure and corporate tax avoidance, …

Insights Of Pre-Service Teachers In The Uae On Ai-Infused K-12 Classrooms: Implications For Policy And Curricula In Teacher Education, Ayman Massouti, Nessrin Shaya, Sandra Baroudi

All Works

No abstract provided.

Prevalence Of Smoking In Patients With Seizures: Epilepsy Vs. Psychogenic Nonepileptic Seizures, Ali A. Asadi-Pooya, Mohsen Farazdaghi, Nafiseh Mirzaei Damabi, Ava Asadi-Pooya, Nayyereh Akbari, Amir Rezaei

Department of Neurology Faculty Papers

Objective: Smoking is the second most significant cause of early death and disability worldwide. Considering existing clinical and psychological differences between patients with epilepsy and psychogenic nonepileptic seizures (PNES), it was assumed that these 2 groups of patients vary in their rates of smoking. This retrospective study was based on an electronic dataset of patients with seizures. Methods: All patients aged 20 years or older were surveyed at the outpatient epilepsy clinic of Shiraz University of Medical Sciences in Shiraz, Iran, between 2008 and 2020. Age at seizure onset, sex, and the final diagnosis were entered into the database for …

Effects Of Overcorrection On Mitigating Uncontrolled Tipping During Incisor Retraction Using Clear Aligners: Finite Element Analysis And In Vitro Experiment, Jianing Wang, Niko Burger, Bo Wang, Linxia Gu, Pengfei Dong

Biomedical Engineering Faculty Research and Publications

Uncontrolled tipping during incisor retraction with clear aligners continues to limit orthodontic treatment. Different countermeasures have been proposed to improve the predictability of aligners, such as power ridges and attachments, while their efficacy requires further investigation. This work investigated the biomechanics of the overcorrection in reducing the tipping angle and moment during incisor retraction with a clear aligner, through in vitro experiments and finite element analysis (FEA). Specifically, the influence of overcorrection angle (1 deg), retraction distance (0.15 mm), and the combination of both were assessed through in vitro experiments and the finite element simulation. Further computational simulations were conducted …

Letter From The Editors, Raven L. Jones, Tanya Upthegrove Gregory, Alexandra M. Sánchez

Language Arts Journal of Michigan

No abstract provided.

Co-Editors’ Corner, Raven Jones, Tanya Upthegrove Gregory, Alexandra Sánchez

Language Arts Journal of Michigan

No abstract provided.

An Obligatory Role For Agrp Neurons In Maintaining Body Temperature During Time-Restricted Feeding, Cunjin Su, Jing Cai, Yuanzhong Xu, Benjamin R Arenkiel, Qingchun Tong

The Brown Foundation: Institute of Molecular Medicine

Homeotherms maintain a steady body temperature through thermoregulation, a process critical for survival during fasting, in which the brain has to defend energy-costly body temperature while reducing energy expenditure to conserve energy reserve; however, the neural basis for defending body temperature remains unclear. Here, we demonstrated that AgRP neuron lesion led to lethality during time-restricted feeding on chow but not on HFD, and caused no obvious impact on HFD-induced obesity or obesity-reducing responses to glucagon-like peptide-1 receptor agonism. The lesion disrupted adaptive feeding behaviors during time-restricted feeding and reduced motivational feeding on chow. Notably, the lethality was caused by hypothermia …

Stock Market Analysis And Volatility Behavior During The Covid-19 Pandemic, Manoj Venkatachalaiah, Soon Leong Yeap, Salman Ahmed Lnu, Sangwhan Cha

Harrisburg University Other Works

This report outlines the structural design, cloud implementation, and analytical findings of a scalable Big Data architecture deployed on Google Cloud Platform (GCP). The primary objective is to investigate the macroeconomic and microeconomic disruption caused by the COVID-19 pandemic on global equities, focusing on two dominant digital business models: online retail/cloud computing (Amazon, Inc. - AMZN) and subscription-based digital streaming entertainment (Netflix, Inc. - NFLX). Through a serverless orchestration pipeline leveraging GCP Cloud Run, automated workflows fetched and blended high-velocity epidemiological metrics alongside daily financial asset layers. Data transformations and parallel analytical calculations were executed utilizing Apache Beam pipelines inside …

Artificial Personhood: The Implications Of Recognizing The Legal Personhood Of Artificialintelligence, Daniel C. Borges

Vanderbilt Journal of Entertainment & Technology Law

Artificial intelligence (AI) is here in a big way. As society grapples with the implications of this profound new technology, the question of whether AI entities should be granted independent legal recognition, akin to human personhood, has emerged as a pivotal topic in jurisprudence. This Article explores the foundations, evolution, and implications of AI personhood, addressing philosophical perspectives, the development of personhood as a legal fiction (with specific emphasis on corporate personhood), and the need for AI personhood to counter the risks posed by rapidly developing AI technology. It defines the "AI person" as one whose legal recognition furthers a …

Here, There, And Absent From The Film: Carving Out A Protection For Trailers In California’S Anti-Slapp Statute, Zach Cogan

Vanderbilt Journal of Entertainment & Technology Law

California’s anti-SLAPP statute is designed to encourage free speech and to prevent litigation that chills participation in public discourse, including the creation and promotion of media. It is a standard industry practice for filmmakers to use trailers to promote their films before the final cut and to gauge the success of certain cinematic elements—such as characters, plot points, and overall tone—so the necessary adjustments can be made before the film is released to audiences. Subjecting studios and filmmakers to litigation for adjusting these relatively minor elements that were present in the trailers will chill this beneficial and standard industry practice. …

Who's Afraid Of Copyright And Ai?, Deborah R. Gerhardt

Vanderbilt Journal of Entertainment & Technology Law

Copyright and AI need not be a copyright no man’s land. Recent decisions by the Copyright Office have gotten so much media attention that many creators are unsure if they can secure copyright protection if they use AI as a creative tool. The proposed creative control paradigm can help us all tackle the challenge of determining when works created with the assistance of AI are copyrightable. Instead of relying on long-established nuanced precedent for protecting works generated with new technology, the Copyright Office asserts that any content generated with assistance from AI tools is unprotectable. This position is radically inconsistent …

When Robots Read Westlaw: Linking Inputs And Outputs In Generative Ai Fair Use Analysis, Aaron Lam

Vanderbilt Journal of Entertainment & Technology Law

Generative artificial intelligence has revealed a novel tension in copyright law: a two-stage act (input and output) of copying that traditional fair-use doctrine never squarely anticipated. In the input stage, vast swaths of copyrighted expression are reproduced and ingested to train large language models. In the output stage, those models generate works that may substitute for or dilute the market of the originals. Courts now face both stages. Their rulings diverge when they consider training and outputs together. In Bartz v. Anthropic PBC and Kadrey v. Meta Platforms, Inc., the courts characterized training uses as “highly transformative,” yet reached opposite …

When The Purse Strings Paint The Picture: Executive Overreach And Censorship In Federal Arts Funding, Megan Brown

Vanderbilt Journal of Entertainment & Technology Law

For decades, the National Endowment for the Arts (NEA) has been tasked with distributing federal funds to museums, galleries, and artists to promote visual artwork for its meritorious qualities and cultural impact. However, the NEA’s role as both a patron and regulator of visual artwork has placed it at the center of a balancing act—funding creative expression that often displays controversial themes, while facing political pressure to define what is a worthy investment of taxpayer dollars. This conversation continues in light of recent executive orders: “Ending Illegal Discrimination and Restoring Merit-Based Opportunity” and “Ending Radical and Wasteful Government DEI Programs …

Open Secrets, Robin Feldman Distinguished Professor Of Law, Vaughn Goehrig -- Center For Innovation

Vanderbilt Journal of Entertainment & Technology Law

Patents and trade secrets were never intended to meet, but in the world of biologic drugs, they’ve become as thick as thieves. Patent law’s disclosure requirement has demanded far too little of biologics manufacturers—allowing them to keep vital manufacturing details under trade secret lock and key. This intellectual property patchwork has been devastating for drug affordability: Because the most critical manufacturing information remains hidden, makers of follow-on biologics (called biosimilars) are often stuck reinventing the wheel, even after the original patents have expired. This Article makes two principal contributions to illuminating this problem. First, it presents, for the first time …

Limiting Inconsistencies In Legal Languages, Sarah B. Lawsky - Professor Of Law

Vanderbilt Journal of Entertainment & Technology Law

Inconsistencies play different roles in law and in logic, respectively, and programming languages designed to code law should therefore, when possible, be designed to prevent the encoding of inconsistencies. While inconsistencies in standard logic “explode” the argument, allowing anything at all to be proven, apparent inconsistencies in law simply indicate that further guidance is needed. Programming languages should be limited not because such inconsistencies do not exist in the statute, but rather exactly because they do. Inconsistencies in the law should, as they are now, be addressed by Congress, the courts, and administrative agencies, and any computer code implementing the …

Lingo4 Coordinates Ilc3-Intrinsic Il-22 Production And Microbiota-Mediated Ilc3 Homeostasis, José L Fachi, Tihana Trsan, Cristiane Sécca, Sarah De Oliveira, Vinícius R Rodovalho, Patrick Fernandes Rodrigues, Wandy L Beatty, Raki Sudan, Shitong Wu, Bishan Bhattarai, Santosh K Panda, Marina Cella, Susan Gilfillan, Marco Colonna

2020-Current year OA Pubs

LINGO4 is a leucine-rich repeat and immunoglobulin-like domain-containing transmembrane protein encoded immediately adjacent to Rorc, the gene for RORγt, raising the possibility that it contributes to the biology of RORγt+ lymphocytes. However, its impact on these cells and resistance to enteric infections has remained unknown. Here, we identify LINGO4 as a critical regulator of group 3 innate lymphoid cells (ILC3s). Lingo4-/- ILC3s exhibit a profound, cell-intrinsic defect in IL-22 production linked to impaired STAT3 activation, mitochondrial dysfunction, elevated ROS, and increased apoptosis. In vivo, Lingo4 deficiency also drives a dysbiotic gut microbiota, resulting in an additional, microbiota-dependent loss of ILC3s. …

Addressing Mental Health Issues And The Effectiveness Of Cognitive Behavioral Therapy And Mindfulness-Based Interventions Among Athletes, Shelby Jones-Stachnik

Dissertations

This literature review identifies mental health concerns among competitive athletes and evaluates psychological interventions to address these challenges. Specifically, the review explores the mental health concerns experienced by athletes engaged in high-level sport. It examines whether cognitive behavioral therapy and mindfulness-based interventions are effective approaches for improving psychological outcomes in this population. A systematic review of peer-reviewed research was conducted, and findings were synthesized to evaluate the effectiveness of cognitive behavioral therapy and mindfulness-based interventions. The review included randomized controlled trials, quasi-experimental studies, and meta-analyses examining psychological interventions in athletic populations. Findings across the literature indicate that both cognitive behavioral …

Exercise Therapy For Mood Disorders In Retiring/Former Athletes, Christian Antos

Dissertations

This dissertation examined the potential integration of exercise therapy and psychotherapy as a treatment approach for mood-related difficulties experienced by former elite athletes during the transition out of competitive sport. Retirement from athletics is often associated with significant biopsychosocial challenges, including disruptions in identity, healthy routines, social support, and emotional well-being. Existing literature suggests that exercise may serve as an effective adjunctive intervention for improving mood and overall psychological functioning, though limited research has explored its application among retiring athletes within psychotherapeutic contexts. This literature review synthesized current research related to athletic retirement, neurobiological mechanisms associated with physical activity, and …

The Impact Of Reliable Backup Childcare Services On Work-Life Balance And Stress Levels Among Working Parents, Christiana Arhin

Dissertations

The purpose of this study is to investigate the relationship between access to reliable backup childcare services, work-life balance, and stress levels among working parents. Building on Arhin’s (2025) research, this study seeks to address limitations in sample diversity and incorporate qualitative methods to gain deeper insight into these variables. Using a mixed-methods approach, the study will examine how access to backup childcare services influences work-life balance and stress levels, with a focus on capturing both quantitative trends and qualitative perspectives of working parents. By exploring these relationships, the study aims to provide a more comprehensive understanding of the role …

Disability Employment In Côte D’Ivoire: Human Resources Managers’ Experiences And Challenges, Kinanpy Vanessa Toure

Dissertations

This study examined the critical role of human resource (HR) managers in promoting workforce integration and addressing the persistent barriers faced by people with disabilities (PWDs) in Côte d'Ivoire. Focusing on the perspectives, challenges, and lived experiences of HR managers, the research explored how inclusive workplace practices were developed and implemented within the Ivorian context. Employing a qualitative case study design, the study utilized semi-structured, scenario-based interviews and analyzed allowable public documents, specifically the Ivorian Labor Code, a relevant NGO publication addressing disability inclusion in Côte d’Ivoire, and the publicly available websites of participating organizations. This approach was intended to …

Leading With Emotional Intelligence: Strengthening Leadership Effectiveness In Early Childhood Education, Christy L. Martin

Dissertations

This study examined the role of emotional intelligence (EI) in leadership effectiveness within early childhood education settings. Leadership in these contexts involves navigating complex relationships, staff stress, and organizational demands, yet leadership preparation often emphasizes technical skills over emotional competencies. The study explored how EI influences leadership effectiveness and how reflective practices support leadership development. Guided by the question How does emotional intelligence impact leadership effectiveness?, the study used a mixed-methods design. Quantitative data were collected through an EI Inventory of Practices self-assessment measuring four EI domains, and qualitative data were gathered through semi-structured interviews. Findings suggest emotionally intelligent …

Aging Actively, Jada Lindblom, Guangzhou Chen

UNH Cooperative Extension

No abstract provided.

The Effects Of Virtual Feedback Delivery Methods On Performance For A Remote Work Task, Megan J. Ireland

Masters Theses

Due to its multifunctional nature and wide array of possible applications, feedback has been, and continues to be, a popular topic within scientific research focused on workplace performance improvement. To ensure that feedback is implemented correctly for the desired behavior change, and the context in which it is being delivered, the variables that make up feedback have been a primary focus of more recent research. Previous research has investigated a variety of variables including the effects of delivering different types of feedback and the effects of different feedback delivery modalities on performance for work-related tasks. The present study will be …

Decentralizing Dementia Research To The Us–Mexico Border: The Rio Grande Valley Ad-Rcmar As A Model For Translational Equity, Gladys E. Maestre, John Blangero, Eron Manusov, Gabriel A. De Erausquin, Francisco Fernandez, Silvia Mejia-Arango, Vincent P. Diego, Juan C. Lopez-Alvarenga, Claudia Alaniz, Neyra García, Rosa V. Pirela, Andrew Tsin, Michael Mahaney

School of Medicine Publications

Translational equity means ensuring that diagnostics, treatments, care models, and prevention strategies are developed and implemented so they work for populations with the greatest burden and least access to care. In Alzheimer's disease and related dementias (ADRD), where most evidence derives from highly educated, non-Hispanic White participants at large academic centers, translational equity is critical to prevent misclassification, limited access, and widening disparities and to ensure that underrepresented communities shape how new knowledge moves into practice. Hispanic and other populations in the United States are disproportionately affected by ADRD yet remain underrepresented in research, with gaps especially pronounced in high-poverty …

Mitigating Disparities In Diagnosis Of Dementia, Lycia Tramujas Vasconcellos Neumann, Simin Mahinrad, Erin L. Abner, Soo Borson, Goldie S. Byrd, Maria Carrillo, Lindsay Clark, Anthony N. Correro Ii, Kacie D. Deters, Gladys E. Maestre

School of Medicine Publications

The field of Alzheimer's disease and related dementias (AD/ADRD) is undergoing a transformative shift with a better understanding of disease biology, biomarker-based diagnostics, and disease-modifying therapies. Yet, these advancements risk exacerbating existing disparities in diagnosis and care. The 2024 Alzheimer's Association International Conference (AAIC) Advancements: Exploring Equity in Diagnosis convened interdisciplinary experts to address these inequities and chart a path toward population-generalizable research and practice. This article synthesizes key insights from the conference, highlighting considerations for inclusive and representative research design, ethical approaches in diagnostic disclosure, as well as challenges and solutions at individual, community, and systemic levels to advance …

Detecting Cognitive Impairment Early In Hispanic And Black Older Adults: Community Voices From South Central Texas, Robin C. Hilsabeck, Stephanie Santiago-Mejias, Tara L. Fletcher, Shanae L. Rhodes, Gladys Maestre, Sudha Seshadri, Neela K. Patel, Fayron R. Epps

School of Medicine Publications

Background: Alzheimer disease and related dementias (ADRD) are more prevalent in Black and Hispanic older adults and are also more likely to be undetected and misdiagnosed. The purpose of this study was to engage with Black and Hispanic communities about interest in and support needed for memory screening.

Methods: Participants were recruited from established community partners of the South Texas Alzheimer's Disease Research Center to engagein a 90-minute listening session. The session was recorded with participants' permission, and a thematic analysis was conducted by 2 independent coders.

Results: Sixteen individuals (81% female, 88% Hispanic or Black) from various perspectives participated …

Linking (Imagined) Communities: World Language Students' Stereotypical Attributions To Native Speakers And Teachers Of German., Lucian Rothe

Faculty and Staff Scholarship

Abstract This study explores language learners' stereotypical descriptions of native speakers (NSs) of German and their relationship with participants' perceptions of teachers of German. It expands motivation research that employs stereotypes to gain insight into university students' views of target language (TL) speakers (Rothe, 2022, 2025). Sixty‐seven learners of German and 43 learners of other world languages (WLs) pro vided responses about NSs and instructors, while also rating the stereotypes' perceived accuracy. Participants held various stereotypical notions about NSs, reflecting broader societal narratives. Learners of German pro vided more detailed stereotypical descriptions. Both groups considered favorable stereotypes as more accurate …

Non-Isolated Dandy-Walker Malformation: Exome Sequencing Efficacy And Phenotypic Expansions, Sarah Araji, Xiaonan Zhao, Jill A Rosenfeld, Seema R Lalani, Daryl A Scott

Faculty, Staff and Students Publications

Dandy-Walker malformation (DWM) is a rare congenital abnormality of the posterior fossa and the cerebellum and has an incidence of 1 in 10 000 to 30 000 births. Although DWM can present in isolation, it is often associated with other central nervous system (CNS) abnormalities or extra-CNS anomalies (DWM+). A molecular cause is not identified in the majority of individuals with DWM+. This is due, in part, to uncertainty regarding optimal testing strategies and an incomplete understanding of the genetic causes of DWM+. In this study, we analyzed clinical exome sequencing (cES) data from 91 individuals with DWM+ to determine …

World Transit Research June 2026 Newsletter, Institute Of Transport Studies Monash University

World Transit Research Newsletter

No abstract provided.