Digital Commons Network^™

Deportation Effects On Children: Rural Latina Single-Parent Families With Children In Lower Grade School Who Suffer From An Adjustment Disorder With Anxiety, Amber Millard

Student Projects

Single-parent families, especially those headed by Latina mothers, face stressors that harm both parents and their children. This is especially true for those who have been negatively affected by deportation. Deportation is a frequently overlooked cause for single-parent households. Roughly 5.7 million children live with parents who do not obtain legal residency documentation, and approximately 500,000 children had at least one parent detained or deported within the last 2 years (Rayburn et al., 2021). Due to the deportation of parents, some of these children develop anxiety-related adjustment disorders. Research into effective methods for aiding these families is limited. However, experiential …

The Life And Discoveries Of Yellapragada Subbarow, Nikhil R, Varuni Pragya, Subramanian Ramaswamy, Shiva Prasad B N, Mahabaleshwar Mamadapur

Digital Journal of Clinical Medicine

Dr. Yellapragada Subbarow was a researcher, teacher, and a wizard of wonder drugs who constantly made efforts in the discoveries/ inventions such as vitamins, anti-vitamins, antibiotics, and many more by disentangling the mysteries of nature for the betterment of the people. He inspired the youngsters to take up the challenges and to stand up above mediocrity. The reward for his achievement was delayed. The article describes a true humanist's journey, discoveries, and his achievements that are largely unknown to date.

Understanding Global Street Food Consumer Behavior And Experience: A Narrative Review Of Literature And Development Of Framework, Samit Chakravorti

Journal of Applied Marketing Theory

This paper explores global street food consumer behavior and consumption experience. The aim of this paper is to gain a holistic comprehension of street food consumption decision making and experience through exploring nature and sources of perceptions, attitude and expectations surrounding street food, the characteristics of the product offering and the domain within which it is served and consumed. To achieve this aim the author engages in a narrative review of academic research on consumer behavior of street food, provides a holistic picture of consumption experience of street food through consolidating and interpreting research findings, and extends the theoretical understanding …

Measuring Social Influence In Online Social Networks - Focused Literature Review On Human Behaviors, Shyamala N. Chalakudi, Gnana Bharathy, Dildar Hussain, Dakshinamurthy Kolluru

Journal of Applied Marketing Theory

Measuring an individual's social influence (SI) capability is gaining traction with the rapid growth and expansive reach of online social networks (OSN). However, most existing frameworks and methods are confined to graphical theories or the structural properties of these networks. Even behavioral investigations are often limited to a narrow set of influencing behaviors and confront significant challenges in encompassing the breadth of human psychological characteristics. This study aims to address this gap through an exhaustive and focused literature review, concentrating on the definitions of human behavior characteristics rooted in established sociology and psychology theories. Beyond providing a comprehensive overview, the …

Implementation Of A New Graduate Registered Nurse Mentorship Program: A Quality Improvement Project, Cindy N. Ruisi

Nursing Doctoral

Transitioning from student to a registered nurse is a critical period for new graduates, often marked by challenges affecting confidence and job satisfaction. Mentorship programs have been identified as an effective intervention to support new nurses during this transition. The Academy of Medical-Surgical Nurses (AMSN) offers a structured mentoring program that can be leveraged to enhance the confidence level and job satisfaction of new graduate registered nurses.

This quality improvement project aims to implement a new graduate registered nurse mentorship program at a > 400-bed community hospital. This program will incorporate components of the established Academy of Medical-Surgical Nurses mentoring program, …

Neutrosophic Cox Proportional Hazards Model For Robust Variable Selection In Survival Analysis, Ibrahim Yasser, Aya A. Abd El-Khalek, A. A. Salama, Doaa A. Abdo

Neutrosophic Systems with Applications

This paper introduces a novel approach for variable selection in survival analysis by integrating neutrosophic logic into the Cox Proportional Hazards (Cox PH) model to address the limitations of recent studies related to high dimensionality. Neutrosophic logic, is a mathematical framework that allows for uncertainty, indeterminacy, and inconsistency, and particularly well suited for handling the complexity and often-ambiguous nature of biological data. By incorporating neutrosophic sets into the Cox PH model, we aim to enhance model robustness, improve variable selection, and address the curse of dimensionality. We compare the performance of the neutrosophic-enhanced Cox PH model with traditional variable selection …

Multi-Criteria Decision-Making Approach Based On Correlation Coefficient For Multi-Polar Interval-Valued Neutrosophic Soft Set, Hamza Naveed, Saalam Ali

Neutrosophic Systems with Applications

The correlation coefficient between two factors is crucial in statistical computation, indicating the extent and evolution of the appropriate link. The precision of applicability evaluations frequently relies on the thoroughness and caliber of data obtained from a certain dataset. Statistical research sometimes entails data marked by intrinsic trade-offs and uncertainty. This study seeks to present m-polar interval-valued neutrosophic soft sets (mPIVNSSs) through the integration of m-polar fuzzy sets with interval-valued neutrosophic soft sets. The suggested mPIVNSS structure is a significantly generalized version of m-polar neutrosophic soft sets and serves as a substantial extension of interval-valued neutrosophic soft sets. In this …

Analysis Of Bck/Bci-Algebras Based On Bipolar Complex Intuitionistic Fuzzy Soft Ideals, Zeeshan Ali

Neutrosophic Systems with Applications

In this article, we design an informative and reliable technique of bipolar complex intuitionistic fuzzy soft sets with numerous operational laws by merging the model of soft sets, complex fuzzy sets, and bipolar intuitionistic fuzzy sets to handle imprecise data. In addition, an ideal in a BCK-algebra is derived based on bipolar complex intuitionistic fuzzy soft set theory are proposed which can capture the information of hesitancy, vagueness, and non-membership information within the circumstance of BCK-algebra. Moreover, we design union, intersection, AND, and OR based on bipolar complex intuitionistic fuzzy soft ideal and simplify it with the help of numerous …

Comparative Analysis Of Multi-Criteria Techniques In Neutrosophic Environment And Their Applications To Economic Condition Assessment, Asmaa Elsayed, Mai Mohamed

Neutrosophic Systems with Applications

In economic decision-making, the challenge of evaluating multiple, often conflicting criteria necessitates advanced Multi-Criteria Decision-Making (MCDM) techniques. Traditional methods can struggle with the inherent uncertainty, ambiguity, and imprecision of real-world data. This paper addresses these challenges by investigating the effectiveness of various MCDM techniques within neutrosophic environments, with a particular focus on the Criteria-wise Alternatives Ranking and Correlation Analysis for Composite Scoring (CARCACS) method. Neutrosophic sets, which incorporate truth, falsity, and indeterminacy, provide a robust framework for addressing the vagueness and inconsistencies found in economic indicators such as GDP growth, employment levels, inflation rates, trade balances, investment activity, and government …

End-To-End Learning For A Low-Cost Robotics Arm, Abhishek Chothani

Theses and Dissertations

Robotic manipulation is a cornerstone of automation, with the ultimate goal of developing versatile systems capable of executing a wide range of real-world tasks autonomously. Traditional robotics approaches, while reliable and widely adopted in industrial settings, often struggle with adaptability, perception, and dynamic task execution. This thesis explores the evolution from classical robotics techniques to modern learning-based approaches, leveraging advancements in artificial intelligence to overcome these limitations.

Initially, the thesis presents a pick-and-place pipeline built using the Drake robotics framework and the KUKA iiwa robotic arm. This system employs a pseudoinverse controller for inverse kinematics to perform structured tasks like …

Patterns Of Interactions In Human-Machine Teams, Kazuhiko Momose

Theses and Dissertations

Increasingly capable machines, including Artificial Intelligence (AI) agents are playing a more important role in a wide range of applications, including human daily activities and safety-critical systems. They can benefit even more when humans and such machines agents work together as a team by leveraging each other's strengths and complementing each other to enhance overall performance. To design high-performing teams, it is critical to analyze the team dynamics and understand how humans and machines interact with each other. Collaboration, Coordination, and Cooperation (3Cs) are terms typically used to describe the behavior of teams. However, these terms tend to be used …

Loss Of Control In General Aviation: An Investigation Into The Mooney M20 And The Full Trimming Tail Design, Trenton Neil Wright

Theses and Dissertations

Loss of Control (LOC) in General Aviation (GA) remains one of the leading causes of aviation accidents, with 94% of all accidents in 2022 occurring in this sector, and 42% attributed directly to LOC [2][3]. This thesis focuses on the Full Trimming Tail (FTT) in Mooney aircraft, hypothesizing that the FTT design significantly increases the likelihood of LOC, particularly during go-arounds and touch-and-go landings. Prior studies have shown that certain trim systems can amplify pitch-up moments following rapid configuration changes, leading to stalls or LOC if not adequately managed by the pilot [23][24][25].

This research utilized a combination of logistic …

Democratizing The Early Identification Of Alzheimer's Disease And Access To Care: The Role Of Psychologists In Brief Assessment, Jacqueline S. Hogan

Graduate Doctoral Dissertations

As Alzheimer’s disease (AD) presents a growing public health challenge, accessible early detection tools are urgently needed. This study used data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) (N = 1,536) to evaluate the ability of machine learning models to predict a conversion from normal cognition or mild cognitive impairment (MCI) to AD. A brief neuropsychological battery, including the Alzheimer’s Disease Assessment Scale–Cognitive Subscale (ADAS13), Mini-Mental State Examination (MMSE), Rey Auditory Verbal Learning Test (RAVLT), and Functional Activities Questionnaire (FAQ), was employed. The Gradient Boosted Trees model demonstrated superior performance, achieving an F1 score of 0.88, recall of 0.93, precision …

Navigating The Anglo-Irish Landscape: Imaginative Geographies In Bram Stoker And Elizabeth Bowen's Novels, Natalie Pearson

Theses/Capstones/Creative Projects

There has been great work done by scholars of Anglo-Irish Gothic tradition to assess the place of classic fictional characters within that tradition. Could a character’s identity contain an Irish dimension? Could they be, perhaps, an allegorical embodiment of the Anglo-Irish Protestant Ascendancy or native Irish peasantry? All excellent questions; however, this present study looks to explore a different perspective by considering “place” itself across four Anglo-Irish Gothic novels: that of Bram Stoker’s The Snake’s Pass (1890) and Dracula (1897) and Elizabeth Bowen’s The Last September (1929) and Bowen’s Court (1942). I seek to highlight the physical landscape in each …

Fabrication And Charcaterization Of Pullulan-Collagen Nanofibers Via Forcespinning, Valeria Leon Leal

Theses and Dissertations

Extensive research on collagen has spurred advancements in tissue engineering and biomaterial development, given collagen´s pivotal role in regulating various tissue structures across diverse organisms. This study delves into fabricating nanocomposites utilizing collagen, along with silver nanoparticles, chondroitin sulfate and pullulan, for potential applications in antibacterial medical devices, and cell regeneration. Collagen, abundant in the extracellular matrix, provides essential structural support, while silver nanoparticles and chondroitin confer antimicrobial properties, crucial for combating infections. Pullulan, a polysaccharide polymer, serves as a biocompatible carrier for silver nanoparticles whilst being the starting nanofiber forming material. Utilizing Forcespinning® technology, composite nanofibers were successfully synthesized. …

Machine Learning Optimized Depolymerization Of Pet (Polyethylene Terephthalate) Via Glycolysis, Mehwash Aamir

Theses and Dissertations

Over 90% of the approximately 1 million PET bottles sold every minute end up in landfills or oceans, where they can persist for centuries. Plastic pollution urgently needs sustainable management and recycling solutions to mitigate the environmental impact of PET waste. From all techniques to recycle plastic waste, catalytic glycolysis stands out for its rapid reaction time, high monomer yields, lower costs, and enhanced durability.

In this work glycolysis of PET was evaluated under microwave conditions using 1,5,7-Triazabicyclo [4.4.0] dec5-ene (TBD) and 1,8-Diazabicyclo [5.4.0] undec-7-ene (DBU) as catalysts, being DBU as the best catalyst for further analysis. The effect of …

Three Decades Of Rat Genomics: Approaching The Finish(Ed) Line, Theodore S Kalbfleisch, Melissa L Smith, Julia L Ciosek, Kai Li, Peter A Doris

The Brown Foundation: Institute of Molecular Medicine

The rat, Rattus norvegicus, has provided an important model for investigation of a range of characteristics of biomedical importance. Here we survey the origins of this species, its introduction into laboratory research, and the emergence of genetic and genomic methods that utilize this model organism. Genomic studies have yielded important progress and provided new insight into several biologically important traits. However, some studies have been impeded by the lack of a complete and accurate reference genome for this species. New sequencing and genome assembly methods applied to the rat have resulted in a new reference genome assembly, GRCr8, which …

Anxiety-Like Behaviors In Mice Unmasked: Revealing Sex Differences In Anxiety Using A Novel Light-Heat Conflict Test, Sydney E Lee, Sung-Hoon Park, John C Aldrich, Laura K Fonken, Andrew D Gaudet

The Brown Foundation: Institute of Molecular Medicine

Anxiety and chronic pain afflict hundreds of millions worldwide. Anxiety and pain are more prevalent in females compared to males. Unfortunately, robust sex differences in human anxiety are not recapitulated in rodent tests, and results from rodent pain studies frequently fail to translate clinically. Therefore, there is a need to develop tests that reflect the differential salience of anxiety or pain-related stimuli between the sexes. Accordingly, here we introduce the Thermal Increments Dark-Light (TIDAL) conflict test. The TIDAL test places an anxiety-relevant stimulus (dark vs. illuminated chamber) in conflict with a heat-related stimulus (incrementally heated vs. isothermic chamber); mice freely …

Aid Or Abuse? A Review Of U.S. Police Assistance Programs In Latin America During The Early Cold War, Brianna Mcnally

War, Diplomacy, and Society (MA) Theses

During the Cold War, the United States used police assistance programs in under-developed countries to stop the spread of communism. Police aid aimed to improve a country’s economic stability and internal security to curb the rise of communist revolutions. The U.S. government charged the Office of Public Safety (OPS) within the U.S. Agency for International Development (USAID) with managing police assistance programs around the world, including in Asia, Africa, and Latin America.

Despite its seemingly good intentions, the OPS became a short-lived program now known today for its ties to human rights abuses, especially throughout Latin America. Several Latin American …

Classifying Supersonic Frequencies For Active Acoustic Side-Channel Exploitation, Destin Hinkel

Graduate Theses and Dissertations (2019 - present)

Computing side-channel research explores the manner in which physical emanations from systems can be used to reconstruct data. Acoustic side-channels are those physical emanations that produce a sonic frequency that is subsonic, supersonic, or considered in the range of human hearing [1]. Acoustic side-channel attacks (SCAs) are typically performed passively: a listening device captures aural frequencies from a machine via a microphone that are transmitted to the attacker for analysis [1]–[3]. Machine learning models have been presented to classify individual keystrokes according to variations in acoustic frequency [4]. Furthermore, the SonarSnoop framework presents a novel active approach that involves both …

Hybrid Deep Learning-Based Model For Eclipse Attack Detection On Ethereum Network, Dhanasak Bhumichai

Graduate Theses and Dissertations (2019 - present)

An eclipse attack is a significant cyber threat targeting the network layer of blockchain platforms. Detecting eclipse attacks is challenging for several reasons. First, there are no available datasets for training and testing models. Second, comprehensive studies identifying features to detect eclipse attacks are lacking. Additionally, the amount of eclipse network traffic is much smaller than that of normal network traffic, which leads to imbalanced samples. Moreover, the characteristics of eclipse network traffic closely resemble those of normal traffic, causing overlapping samples, which makes it challenging for traditional classifiers to learn how to identify eclipse attacks. To address these challenges, …

Evaluation Of The Etiology Of Recurrent Pregnancy Loss (Rpl): An Explanatory Mixed Methods Study Exploring Obstetrician Gynecologist Clinical Provider Behaviors And Factors Contributing To Incomplete Evaluations, Emelia Grant

Doctor of Philosophy in Translational Health Sciences Dissertations

Background: More than 50% of patients with recurrent pregnancy loss (RPL) are left without explanations for their losses. However, current research suggests that up to 90% of these individuals could receive explanations through evidence-based laboratory testing. Professional guidelines vary in their recommendations for laboratory testing and RPL evaluation, which can contribute to delayed or fragmented care and untreated maternal disease. Inequities in access to genetic testing further complicate the diagnostic landscape of RPL since payor policies often determine which tests are covered, leaving many patients without access due to financial constraints.

Objective: This study aimed to evaluate current practices of …

Kolcaba’S Comfort Theory: A Framework For Understanding The Significance Of Skin-To-Skin Care After Childbirth, Aqsa Nizar Ali

Journal of Asian Midwives (JAM)

Despite the WHO recommendations and evidenced-based results of skin-to-skin contact, it is quite an uncommon practice witnessed after childbirth. Compared to research conducted in low and middle-income nations, the majority of the studies conducted in high-income countries revealed greater rates of SSC [11]. Skin-to-skin contact, a nurturing practice, has gained significant recognition as a cornerstone of early infant care. Beyond its physiological benefits, skin-to-skin contact fosters a profound sense of comfort and connection between mother and infant. Kolcaba's theory of comfort, a comprehensive framework for understanding and promoting comfort, provides a valuable lens to explore the multifaceted benefits of skin-to-skin …

Exploring Post-Covid-19 Health Effects And Features With Advanced Machine Learning Techniques, Muhammad N. Islam, Md S. Islam, Nahid H. Shourav, Iftiaqur Rahman, Faiz A. Faisal, Md M. Islam, Iqbal H. Sarker

Research outputs 2022 to 2026

COVID-19 is an infectious respiratory disease that has had a significant impact, resulting in a range of outcomes including recovery, continued health issues, and the loss of life. Among those who have recovered, many experience negative health effects, particularly influenced by demographic factors such as gender and age, as well as physiological and neurological factors like sleep patterns, emotional states, anxiety, and memory. This research aims to explore various health factors affecting different demographic profiles and establish significant correlations among physiological and neurological factors in the post-COVID-19 state. To achieve these objectives, we have identified the post-COVID-19 health factors and …

Higher Habitual Intakes Of Flavonoids And Flavonoid-Rich Foods Are Associated With A Lower Incidence Of Type 2 Diabetes In The Uk Biobank Cohort, Alysha S. Thompson, Amy Jennings, Nicola P. Bondonno, Anna Tresserra-Rimbau, Benjamin H. Parmenter, Claire Hill, Aurora Perez-Cornago, Tilman Kühn, Aedín Cassidy

Research outputs 2022 to 2026

Aim: To examine the associations of a diet high in flavonoid-rich foods, as reflected by a “Flavodiet Score” (FDS), the major individual food contributors to flavonoid intake, and flavonoid subclasses with type 2 diabetes (T2D) risk in the UK Biobank cohort. Materials and methods: Flavonoid intakes were estimated from ≥2 dietary assessments among 113,097 study participants [age at enrolment: 56 ± 8 years; 57% female] using the U.S Department of Agriculture (USDA) databases. Multivariable Cox proportional hazards models were used to investigate associations between dietary exposures and T2D. Results: During 12 years of follow-up, 2628 incident cases of T2D were …

Llm Potentiality And Awareness: A Position Paper From The Perspective Of Trustworthy And Responsible Ai Modeling, Iqbal H. Sarker

Research outputs 2022 to 2026

Large language models (LLMs) are an exciting breakthrough in the rapidly growing field of artificial intelligence (AI), offering unparalleled potential in a variety of application domains such as finance, business, healthcare, cybersecurity, and so on. However, concerns regarding their trustworthiness and ethical implications have become increasingly prominent as these models are considered black-box and continue to progress. This position paper explores the potentiality of LLM from diverse perspectives as well as the associated risk factors with awareness. Towards this, we highlight not only the technical challenges but also the ethical implications and societal impacts associated with LLM deployment emphasizing fairness, …

Barriers And Enablers To Promoting Grandchildren’S Physical Activity And Reducing Screen Time: A Qualitative Study With Australian Grandparents, Timothy Budden, David Coall, Ben Jackson, Hayley Christian, Andrea Nathan, Michelle I. Jongenelis

Research outputs 2022 to 2026

Background: With an increasing number of grandparents providing care to their grandchildren, calls have been made for these caregivers to be considered important stakeholders in encouraging children’s engagement in health-promoting behaviors, such as physical activity. Understanding the perspectives of grandparents who provide care is crucial to informing efforts that aim to increase children’s physical activity, yet little is understood about their perceptions of specific barriers and enablers to promoting children’s physical activity and reducing screen time. The present study sought to explore these perceptions. Methods: Semi-structured focus groups and individual interviews were conducted with grandparents who reported providing care to …

Enhancing Circulatory Myokines And Extracellular Vesicle Uptake With Targeted Exercise In Patients With Prostate Cancer (The Myex Trial): A Single-Group Crossover Study, Jin Soo Kim, Dennis R. Taaffe, Daniel A. Galvão, Timothy D. Clay, Andrew D. Redfern, Elin S. Gray, Robert U. Newton

Research outputs 2022 to 2026

Introduction: Physical activity is associated with improved disease progression and cancer-specific survival in patients with prostate cancer (PCa). However, the mechanisms underlying these associations remain unclear, while the relative impact of exercise modes is unknown. This study aims to examine the differential impact of exercise mode on tumour-suppressive skeletal muscle-associated systemic molecules as well as their delivery mechanism. This study will compare the effects of the two main exercise modes, aerobic and resistance, on (1) circulatory myokine levels, (2) skeletal muscle-induced extracellular vesicle abundance and cargo contents, and (3) uptake of extracellular vesicles (EVs) in PCa cells in patients with …

Exploring Drivers Of Women’S Well-Being In Hospitals: Mapping The Landscape, Mitra Faghihi, Aliasghar Farshad, Nasim Salehi, Dean Whitehead, Masoud Motalebi Ghayen, Bahar Izadi, Morteza Mansourian

Research outputs 2022 to 2026

Background and purpose: The workplace plays a key role in impacting the health and well-being of employees at various levels, including physical, psychological, and social aspects of health. This study aims to identify the drivers of a healthy environment that promotes the well-being of women employed in hospitals. Materials & methods: This qualitative study used purposive sampling to recruit a total of 48 working women across a diverse range of participants with different job categories and socio-demographic statuses. These include clinical health (e.g., nurse, head nurse, practical nurse, supervisor, physicians); allied health (e.g., diagnostic services); public health (e.g., health promotion …

Carroll County Advisory Council Minutes 2020, Mikayla Cerney

UNH Cooperative Extension

No abstract provided.