Digital Commons Network^™

The Ability Of The Millon Pre-Adolescent Clinical Inventory (M-Paci) To Distinguish Between Adhd And Non-Adhd Clinical Groups, Michael Jowkar

Theses and Dissertations

The M-PACI is a personality scale based on Millon’s biosocial personality theory designed to measure emerging personality patterns in pre-adolescents (9-12 years old). There is minimal published research on this inventory, particularly in clinical contexts. For this study, we used a data set collected at a Midwestern private practice clinic where children are assessed for ADHD and learning disabilities. This study looks at how those diagnosed with ADHD differ in emerging personality patterns and current clinical signs scales compared to those in a clinical sample who have not been diagnosed with ADHD. Some studies have shown differences between children diagnosed …

Perceptions Of Emotional Abuse As A Partial Function Of The Abuser-Victim Gender Dyad, Kaitlyn Kidder

Theses and Dissertations

Emotional abuse affects approximately half of people in an intimate relationship, yet it is often not considered intimate partner violence (IPV) on its own (Dokkedahl et al., 2022; Leemis et al., 2022). Despite the prevalence, there is a lack of consistency on the definition of emotional abuse and IPV as well as a lack of clarity of what acts qualify for these terms. Past research has largely focused on IPV, specifically physical or sexual abuse, in heterosexual relationships with a male perpetrator and female victim. Few studies have explored the interactions of the gender of the victim and perpetrator in …

An Intersectional Exploration And Analogue Investigation Of Transgender And Gender Diverse Bi+ Women’S Preferences For Sexual Violence Vulnerability Reduction Interventions, Sara K. Kuhn

Theses and Dissertations

Transgender and gender diverse (TGD) bisexual+ (bi+, e.g., pansexual, polysexual) women disproportionately experience sexual violence victimization and their acceptability of applicable interventions is under-researched. Online self-report data was collected from 240 ethnoracially diverse bi+ adult American women, who identified as TGD (n = 69) or cisgender (cis; n = 171), and who read standardized descriptions of interventions. TGD bi+ women found intervention descriptions inclusive of their sexual and gender identities—and those including in-person active resistance strategy instruction (bystander/self-defense)—more acceptable. Intervention descriptions with alcohol use and/or sexual activity reduction components were largely found to be less acceptable. Intervention elements of importance …

A Phenomenological Study Of The Motivations, Persistence And Challenges Of African Immigrant Adult Learners In Community Colleges In Minnesota, Saah Jackson Delu Kpakar

Theses and Dissertations

African Immigrant Adult Learners (AIAL) are considered an exclusive demographic group who left Africa and obtained permanent residency in the United States. They experience a wide range of challenges in their quest for postsecondary education, which impact their access, persistence, and academic success. The purpose of this qualitative study based on a phenomenological approach was to explore the factors that motivate African Immigrant Adult Learners and enable them to persist and remain resilient in their pursuit of higher education at community colleges in Minnesota. The theories that guided this research are the Self-Determination Theory (SDT) and Schlossberg’s Transition Theory (STT). …

Student Participation In Informal Resolution: Examination Of Impact Factors On Recidivism And Student Perceptions Of Institutional Care And Fairness, Linnea Rose Nelson

Theses and Dissertations

This exploratory case study, conducted at the University of North Dakota (UND), examined factors influencing recidivism and student perceptions of institutional care and fairness among participants in the piloted Informal Resolution (IR) option. A restorative justice (RJ)-informed alternative to the traditional student conduct process, the IR is offered to students charged with first-time, low-level violations of UND’s code of conduct. This study aimed not only to evaluate the new process but also to respond to recent calls from scholars and practitioners for more extensive research on the intersection of RJ and student conduct outcomes. Sherman’s (1993) defiance theory provided the …

Using Machine Learning To Investigate Weather Impacts On Crop Yield For Probabilistic, Climate-Informed Predictive Crop Breeding, Levi Newell

Theses and Dissertations

As the world’s population continues to grow, the importance of food security willonly continue to increase, with some estimates requiring a global increase in food production between 59 and 98% by 2050. The agriculture industry is also a crucial economic driver, with the industry supporting 20% of the state of North Dakota’s workforce, and with a total valuation of $41.3 billion. The economic importance of this industry and the challenges of future growth prompt a need for data driven decision making into the future, particularly with predictive crop breeding. This is the method by which crops are developed that are …

Speech-Language Pathology Graduate Programs: What Influences Students To Apply?, Emily Stephens

Theses and Dissertations

Speech-Language Pathologists (SLPs) are licensed professionals trained to work with various age ranges who have communication, feeding, and/or swallowing difficulties. The entry level education for an SLP to actively practice is a master’s degree. To fill the many vacant and needed SLP jobs across the country, it is necessary for SLP master’s programs to admit highly qualified students into their programs, resulting in many competent SLPs entering the workforce to fill the current job openings. Minot State University’s SLP master’s program has experienced a significant decline in graduate applications over the past decade. There is limited research specific to the …

Some Types Of Hyperneutrosophic Set (6): Multineutrosophic Set And Refined Neutrosophic Set, Takaaki Fujita, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

This paper builds on the foundational advancements introduced in [22, 29–32]. The Neutrosophic Set pro-vides a flexible mathematical framework for managing uncertainty by utilizing three membership functions: truth, indeterminacy, and falsity. Recent extensions, such as the HyperNeutrosophic Set and the SuperHy-perNeutrosophic Set, have been developed to address increasingly complex and multidimensional challenges. Comprehensive formal definitions of these concepts are provided in [26]. In this paper, we further extend various specialized classes of Neutrosophic Sets. Specifically, we explore extensions of the MultiNeutrosophic Set and the Refined Neutrosophic Set using HyperNeutrosophic Sets and 𝑛-SuperHyperNeutrosophic Sets, providing detailed analysis and examples.

Quantified Neutrosophic Set (Qtns)-Based Mcdm Algorithms For Sustainable Material Selection For Anti-Microbial Bio-Fabricated Textile Manufacturing, Muhammad Saeed, Neha Andaleeb Khalid, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

This paper proposes a modified structure for the neutrosophic set called the Quantified Neutrosophic Set (QtNS) with a parameterized setting. Unlike conventional approaches, the QtNS provides a quantified environment for the indeterminacy by its dependence on truthness and falsity components. This innovative approach quantifies the uncertainty and improves the assessment process via expert-guided opinions, customising it according to the specific situations in real-world decision-making scenarios. Some QtNS operations along with useful characteristics are addressed. Furthermore, two algorithms, QtNSUI and QtNSAO, are developed for the proposed operations of union, intersection, AND, and OR based on QtNS. In the world of sustainable …

Reconsideration Of Neutrosophic Social Science And Neutrosophic Phenomenology With Non-Classical Logic, Takaaki Fujita, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

Body-Mind-Soul-Spirit Fluidity is a concept rooted in psychology and phenomenology, offering significant insights into human decision-making and well-being. Similarly, in social analysis and social sciences, frameworks such as PDCA, DMAIC, SWOT, and OODA have been established to enable structured evaluation and effective p roblem-solving. Furthermore, in phenomenology and social sciences, various logical systems have been developed to address specific objectives and practical applications. This paper extends these concepts using the Neutrosophic theory, revisiting their mathematical definitions and exploring their properties. The Neutrosophic Set, an extension of the Fuzzy Set, is a highly flexible framework that has been widely studied in …

Artificial Intelligence, Society 5.0 And Smart City Adaptation Initiatives For Businesses: An Integrated Approach, Inês A.M. Gil, Fernando A.F. Ferreira, Neuza C.M.Q.F. Ferreira, Florentin Smarandache, Momtaj Khanam, Tugrul Daim

Branch Mathematics and Statistics Faculty and Staff Publications

The unprecedented migration of populations to urban areas has created major challenges for municipalities and service providers. To address these issues, decision-makers must embrace smart city and Society 5.0 paradigms, both of which focus on adaptability and sustainable development. Artificial intelligence (AI) plays a pivotal role by expanding service capacity, enabling automation, and processing vast data to align urban development with the UN’s Sustainable Development Goals (SDGs). This paper develops a multi-criteria analysis system designed to support decision-making in complex socio-technological contexts. Using cognitive mapping and the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique within a neutrosophic environment, the study …

Ppg-Based Sleep Stage Classification Using Pulse Wave Feature Fusion And Explainable Ai, Florentin Smarandache, Satyasri Akula, Saleh Alzahrani, Farrukh Arslan, Amir Ijaz

Branch Mathematics and Statistics Faculty and Staff Publications

Sleep monitoring plays a crucial role in understanding and managing various health conditions, including sleep disorders, cardiovascular diseases, and mental health. Traditional sleep monitoring methods rely on Electroencephalography (EEG) and Polysomnography (PSG) in clinical settings. However, these methods are expensive, difficult to administer, and unsuitable for home-based monitoring. In recent years, photoplethysmogram (PPG) has emerged as a promising noninvasive technology that is widely used in wearable devices and holds great potential for sleep assessment. Yet, most current sleep monitoring methods rely on deep learning models, which are inherently "black-box" and challenging in the clinical decision-making process. In this paper, we …

A Neutrosophic Approach To Social Phenomena, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

Sociology has long sought to understand human societies and the social behaviors within them. It explores the organization, structure, dynamics, and transformations of society over time. However, traditional sociological methods face significant challenges in addressing the complexity and indeterminacy inherent in social data—data that is often ambiguous, incomplete, and contradictory. The Neutrosociology offers a novel approach to studying and modeling social phenomena by employing mathematical and philosophical tools that can accommodate uncertainty.

Birthing While Black: The Color Of Care And Black Women’S Lived Experiences Giving Birth In The United States, Portia Cowlings

Theses and Dissertations

Black women in the United States face disproportionate maternal health outcomes during pregnancy, childbirth, and postpartum compared to other racial and ethnic groups. Despite advancements in healthcare, the United States continues to report the highest maternal mortality rates among high-income developed nations, with Black women experiencing rates up to three times higher than their White counterparts. This phenomenological study explores the lived experiences of Black women in the United States to understand how they navigate the continuum of maternal healthcare, from preconception through postpartum. Guided by the social determinants of health (SDOH) theoretical framework, childbirth was examined through four interconnected …

Facilitated Group Care For Maternal And Child Health Model Fidelity: A Scoping Review, Ashley Gresh, Phoebe Parker, Anne Batchelder, Jalana Lazar, Christina X. Marea, Camilla Bjelland, Rohan D. Jeremiah, Giovanna Cristina Machado-Kayzuka, Hayden Geibel, Dhruvi R. Patel, Esnath Kapito, Kathleen F. Norr, Crystal L. Patil

Department of Pediatrics Faculty Publications

Group care is a transformative model of prenatal, postnatal, and well-child care. The Centering-based group care model has three core components: health care, interactive learning, and community building. It has been implemented in 33 countries with associated improved maternal and child health outcomes. Maintaining fidelity to the model is essential for its effectiveness. However, to date no standardised measure of fidelity to the group care model exists. This review aimed to explore how fidelity is measured in group care and identify common themes to understand what is essential to maintain fidelity. We used the scoping review framework by Arksey & …

Traditional And Non-Traditional Behavioral Tests Demonstrate The Attenuation Of Cognitive Deficits By Therapeutic Hypothermia In A Rat Model Of Neonatal Hypoxic-Ischemic Encephalopathy, Angela Saadat, Cortney Kaszowski, Haree Pallera, Frank Lattanzio, Richard A. Britten, Asna Sulaiman, Stephanie Newman, Alireza Hosseini, Tushar Shah

Department of Pediatrics Faculty Publications

Introduction: Neonatal hypoxic-ischemic encephalopathy (HIE) is neurological disease caused by the deprivation of oxygen and blood flow to the brain during the developmentally-critical perinatal period. Therapeutic hypothermia (TH) is the standard of care treatment for HIE, though cognitive deficits can persistent throughout life despite treatment. The nature of these deficits, and the impacts of TH and sex are not well understood, and this presents a key barrier in the development of novel therapeutics.

Methods: The goal of this study was to enhance the characterization and measurement of cognitive outcomes with tasks that measure spontaneous behaviors in a rodent models of …

Risk And Protective Factors For Sudden Infant Death Syndrome (Sids) In Low-Resource Communities In Kolkata India: A Mixed Methods Exploratory Study Of Semi-Structured Interviews And Survey Data, Susan Samreth, Alexandra Leader, Jillian Kiely, Turja Chakrabarti, Rupa Kapoor

Department of Pediatrics Faculty Publications

Sudden Unexpected Infant Death (SUID), Sudden Infant Death Syndrome (SIDS) and infant sleep practices are widely documented and studied in high-resource countries. Knowledge of SUID/SIDS occurrence, risk factors and protective factors in low or middle-resource countries such as India is lacking. This was an exploratory study using a mixed methods (qualitative and quantitative) approach to better understand infant sleep practices and the various factors that may influence them amongst caregivers in 5 low-income communities in Kolkata, India. Twenty-eight and 22 caregivers of infants < 12 months old were recruited using a convenience sampling approach to participate in semi-structured interviews (phase 1) and a survey (phase 2), respectively. This research was conducted in partnership with Pratit International, a locally based NGO dedicated to providing comprehensive health care to disenfranchised communities in Kolkata. Analysis of qualitative and quantitative data found that infant caregivers frequently described risk factors (e.g., bedsharing, soft sleep surface, infant sleep position, objects in sleep area, environmental smoke exposure, low rates of pacifier use) and protective factors (e.g., breastfeeding, routine immunization/prenatal care, low rates of caregiver substance use) that have been associated with SIDS in high resource communities. Qualitative data revealed that certain caregivers' reasons for infant sleep position were rooted in cultural beliefs. Prenatal and postnatal sleep education given by a healthcare professional were limited and awareness of safer sleep advice in the community was low. These study findings suggest the need to provide safer sleep education resources in a culturally appropriate manner and can help guide future research on potential interventions such as the baby box.

Predictive Maintenance In Naval Vessel Propulsion Systems For Enhanced Marine Operations Using A Bigmm-Hmm Framework With Divergence-Based Clustering, Farshid Javadnejad, Hyoshin John Park, Samuel Kovacic, Andres Sousa-Poza

Engineering Management & Systems Engineering Faculty Publications

This study introduces a BiGMM-HMM Integration Framework designed to improve predictive maintenance strategies for naval vessel propulsion systems, addressing the need for efficient and reliable operation in marine engineering applications. The framework effectively manages multimodal sensor data by leveraging a unique combination of Gaussian Mixture Models (GMMs) and Hidden Markov Models (HMMs) in a bidirectional architecture. It analyses the dynamic interactions between sensors and subsystems. Two preprocessing methods are evaluated: Method 1 focuses on subsystem interactions, employing divergence-based root cause analysis to identify key sensor variables by clustering of sensors and subsystems. In contrast, Method 2 processes the entire dataset …

A Bibliometric Analysis Of Ai-Driven Healthcare Literature Containing Kos Keywords: Trends, Themes, And Gaps, Julaine Clunis, Eric Asare

STEMPS Faculty Publications

As artificial intelligence (AI) becomes increasingly embedded in healthcare applications, concerns have emerged around the trustworthiness, interpretability, and context-awareness of these systems. Knowledge Organization Systems (KOS) hold considerable potential to address these challenges by supporting semantic standardization, explainability, and domain alignment. This study presents a bibliometric analysis of scholarly publications referencing both AI and healthcare concepts to examine how KOS are positioned within this evolving discourse. The findings indicate that while early literature frequently and explicitly referenced KOS—such as ontologies, controlled vocabularies, and classification systems—their visibility has declined relative to newer paradigms such as machine learning and large language models. …

Patterns Of Exclusive, Dual And Poly Tobacco Products Use Among Cancer Survivors In The United States, Ateeqa Ijaz, Miranda E. Gehris, Paul T. Harrell, Aditya Chakraborty, Rime Jebai, Wei Li, Olatokunbo Osibogun, Seyedeh Yasaman Alemohammad, Ziyad Ben Taleb, Ebbie Kalan

Department of Pediatrics Faculty Publications

Purpose

Identifying tobacco products use (TPU) patterns among cancer survivors (CSs) is critical to optimize survivorship care. This study examines exclusive cigarette/e-cigarette, dual (two tobacco-products) and poly (≥ 3 tobacco-products) use among CSs (vs. no cancer history) and its sub-types: smoking-related-cancers (SRCs) vs. non-smoking-related cancers (NSRCs) while also exploring socio-demographic factors.

Methods

The study analyzed 86,551 adults from the 2021–2023 National Health Interview Survey, including 10,846 (9.7%) CSs. Participants were categorized and analyzed based on their CSs status and TPU patterns. Weighted logistic regression models assessed the relationship between TPU and CSs status while adjusting for socio-demographic characteristics.

Results

CSs …

The Role Of Doulas In The Health Care Continuum For Pregnant People With Substance Use Disorder: Perspectives Of Patients, Doulas, And Healthcare Providers, Dashaunda Taylor, Derek A. Chapman, Caitlin E. Martin, Cynthia C. F. Romero, Gerard Moeller

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Objectives/Goals: The goals of this research are to 1) determine the prevalence of perinatal doula services use in Virginia, with a focus on individuals with substance use disorders (SUD), 2) evaluate awareness of doulas among pregnant and postpartum people with SUD, and 3) assess provider knowledge and interaction with doulas for the care of this population. Methods/Study Population: Both quantitative and qualitative methods will be used to evaluate patient and healthcare provider knowledge regarding doula services and the patient–doula–healthcare provider relationship. Surveys and semi-structured interviews will be administered to doulas, pregnant and postpartum women, and healthcare providers in this mixed-methods …

Assessment Of Primary Malignancy Risk Following Initiation Of Biologic Therapy In Psoriasis Patients, Chunghwan Ro, Ana Ormaza Vera, Waleed Adawi, Alexander Yap, Clinton W. Enos

Department Dermatology Faculty Publications

Limited evidence exists regarding the long-term oncologic safety of biologic therapies, particularly interleukin (IL)-17 inhibitors (IL-17i) and IL-23i, in the management of psoriasis. This propensity-score-matched retrospective-cohort study assessed the risk of developing a primary malignancy within 10-years following exposure to an FDA-approved biologic among psoriasis patients compared to biologic-naïve controls. After propensity-score-matching, 32,230 biologic-exposed patients were further grouped into cohorts of tumor necrosis factor inhibitors (TNFi, n=16,011), IL-23i (n=5,604), IL-12/23i (n=3,856), and IL-17i (n=5,467). During a 10-year period, TNFi-treated patients had a reduced risk of developing any primary malignancy compared to biologic-naïve psoriasis patients [HR 0.80(0.73-0.87)]. Similarly, a lower incidence …

Comprehensive Benchmarking Of Several Machine Learning And Bayesian Models For Early-Stage Diabetes Risk Prediction: A Large-Scale Comparative Study, Md. Iqbal Hossain, Najila Alam Porno

Mathematics & Statistics Faculty Publications

Diabetes remains a critical global health challenge, with early detection is crucial for effective management. This study presents a comprehensive benchmarking analysis of 14 diverse machine learning and Bayesian models for early-stage diabetes risk prediction using clinical data [2] from Sylhet, Bangladesh. This research evaluated traditional methods (Logistic Regression, Decision Trees), ensemble techniques (Random Forest, XGBoost, LightGBM), Bayesian approaches (BART, Bayesian Logistic Regression), and advanced neural architectures (Deep Belief Networks) using both 70-30 train-test splits and 10-fold cross-validation. The results demonstrate that ensemble methods consistently outperformed other approaches, with Random Forest(RF) achieving the highest cross-validated AUC (0.9951) and accuracy (0.9699). …

Model-Free Organization Of Patient Reported Outcomes Data: Geometrical Rep-Resentation Of The Modified Compartmen-Talization Method, Manasi Sheth, N. Rao Chaganty

Mathematics & Statistics Faculty Publications

There is a recent advancement in the field of mathematics and statistics to understand the geometry or connectedness of the data due to the massive amounts of data being generated. The data provided for analyses are usually very large and need to be organized and minimized in order to make it more useful and meaningful. In biostatistics or medical field, it is important for patients to have access to high-quality, safe and effective and/ or efficacious medical products. It is quite necessary to ascertain that the patients and their care-partners stay at the center of the regulatory decision-making process. In …

A Comparative Analysis Of Preprocessing Filters For Deep Learning-Based Equipment Power Efficiency Classification And Prediction Models, Sang-Ha Sung, Chang-Sung Seo, Michael Pokojovy, Sangjin Kim

Mathematics & Statistics Faculty Publications

The quality of input data is critical to the performance of time-series classification models, particularly in the domain for industrial sensor data where noise and anomalies are frequent. This study investigates how various filtering-based preprocessing techniques impact the accuracy and robustness of a Transformer model that predicts power efficiency states (Normal, Caution, Warning) from minute-level IIoT sensor data. We evaluated five techniques: a baseline, Simple Moving Average, Median filter, Hampel filter, and Kalman filter. For each technique, we conducted systematic experiments across time windows (360 and 720 min) that reflect real-world industrial inspection cycles, along with five prediction offsets (up …

Modeling Non-Normal Distributions With Mixed Third-Order Polynomials Of Standard Normal And Logistic Variables, Mohan D. Pant, Aditya Chakraborty, Ismail El Moudden

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Continuous data associated with many real-world events often exhibit non-normal characteristics, which contribute to the difficulty of accurately modeling such data with statistical procedures that rely on normality assumptions. Traditional statistical procedures often fail to accurately model non-normal distributions that are often observed in real-world data. This paper introduces a novel modeling approach using mixed third-order polynomials, which significantly enhances accuracy and flexibility in statistical modeling. The main objective of this study is divided into three parts: The first part is to introduce two new non-normal probability distributions by mixing standard normal and logistic variables using a piecewise function of …

Impacts Of Tick Parasitism On The Rodent Gut Microbiome, Robert J. Brinkerhoff, Joshua Pandian, Meghan Leber, Isabella D. Hauser, Holly D. Gaff

Biological Sciences Faculty Publications

Host microbiota may impact disease vector behavior and pathogen transmission, but little is known about associations between ectoparasites and microbial communities in wildlife reservoir species. We used Illumina metagenomic sequencing to explore the impacts of tick parasitism on the rodent fecal microbiome in both a field and laboratory setting. We found that tick parasitism on wild hosts was associated with variation in the fecal microbiota of both the white-footed deermouse, Peromyscus leucopus, and the southern cotton rat, Sigmodon hispidus. In a lab experiment, we detected significant changes to the fecal microbiome after experimental exposure to immature ticks in …

Multi-Locas Gwas Mapping And Candidate Gene Analysis Of Anticancer Peptide Lunasin In Soybean (Glycine Max L. Merr), Rikki Locklear, Jennifer Kusumah, Layla Rashad, Felicia Lugaro, Sonia Viera, Nathan Kipyego, Faith Kipkosgei, Daisy Jerop, Shirley Jacquet, Mythy Addelmajid Kassem, Jiazheng Yuan, Elvira De Mejia, Rouf Mian

Biological Sciences Faculty Publications

Soybean (Glycine max) peptide lunasin exhibits significant cancer-preventive, antioxidant, and hypocholesterolemic effects. This study aimed to identify quantitative trait nucleotides (QTNs) associated with lunasin content and to annotate the candidate genes in the soybean genome. The mapping panel of 144 accessions was gathered from the USDA Soybean Germplasm Collection, encompassing diverse geographical origins and genetic backgrounds, and was genotyped using SoySNP50K iSelect Beadchips. The lunasin content in soybean seeds was measured using the enzyme-linked immunosorbent assay (ELISA) method, with lipid-adjusted soybean flour prepared from seeds obtained from the Germplasm Resource Information Network (GRIN) of USDA-ARS in 2003 and …

Herpetofauna Richness, Diversity, And Occurrence At The Northern Ecotone Of Longleaf Pine, Julianne Jones, Dylan Bryant, Erik Yando

Biological Sciences Faculty Publications

Habitat suitability commonly differs between the core and periphery of ecosystems. The longleaf pine ecosystem is recognized for its value in providing habitat to a variety of specialist and endemic species, especially herpetofauna. However, at the northernmost extent of longleaf pine (in southeastern Virginia) little is known about the denizen reptiles and amphibians. Moreover, the remaining longleaf pine ecosystem at the latitudinal ecotone is fragmented amongst a mosaic of other ecosystems. We examined herpetofauna diversity, richness, and capture rates between four focal habitat types—mature longleaf pine, restored longleaf pine, maple-gum swamp, and pocosin-bog—in the Zuni Pine Barrens of southeastern Virginia. …

Codec-M: The Multi-Lingual Manosphere Subcorpus Of The Corpus Of Digital Extremism And Conspiracies, Rachel Mccullough, Daniel Drylie, Mindl Barta, Cass Dykeman, Daniel Smith

English Faculty Publications

In 2023, the U.S. Surgeon General warned the public of the current “loneliness epidemic” and its potential consequences on physical and mental health. One possible consequence of this epidemic is the growth of a movement defined by loneliness and isolation: the incel (“involuntary celibate”) movement. This warning presents a worrying glimpse at the future, as the incel movement, along with other parts of the manosphere, is one that espouses violently misogynist rhetoric which is intrinsically linked to right-wing extremism. While linguistic studies have been conducted on the speech of incels and other constituent movements of the manosphere, few of these …