Digital Commons Network^™

Supporting The Supporters: Reducing Stress For At Home Dementia Caregivers, Kendra Spitzer

Psychology Student Publications

Caring for individuals with dementia is associated with an increased mental strain, stress, anxiety, and depression. This paper explores mental health issues that can derive from caring for people living with dementia. Dementia is a highly progressive condition that impacts cognition and behavior, which affects both the individual and caregiver. While caregiving provides meaningful skills and a strong meaning to life, it also presents unpredictability and emotional distress. This paper highlights evidence-based supports to reduce mental health illnesses and burdens on caregivers. Supports such as social networks, digital mental health tools, mobile apps, and validation therapy are noted to be …

Sensory Processing In Early Childhood: Developmental Pathways To Emotional Regulation And Participation, Jadyn Kuppersmith

Psychology Student Publications

How sensory processing develops in early childhood and how it influences emotional regulation and participation in daily activities. Highlighting that all children respond to sensory input differently, which can affect their behavior, anxiety levels, and ability to engage in play, routines, and school. The paper also emphasizes how occupational therapy supports children by adapting environments and promoting self-regulation skills rather than trying to change the child.

Effects Of Screen Time On Childhood Development, Elizabeth Bridge

Psychology Student Publications

This science communication paper explores the psychological effects of screen time on childhood development. It emphasizes the effects on childhood intelligence, social skills, language skills, emotional regulation skills, and mental health.

Bipolar Disorder: Family Dynamics And Relationships, Ava M. Bailey

Psychology Student Publications

This paper explores the effects of bipolar disorder on family dynamics and relationships, both for individuals with the disorder and those living with them. It discusses bipolar disorder, along with its diagnosis, symptoms, and associated behaviors. Additionally, this paper analyzes the effects that bipolar disorder has on relationships, including parent-child in which the parent has bipolar disorder, parent-child in which the child has bipolar disorder, marital relationships, and interpersonal relationships in general.

Effects Of Exercise Of Cognitive Development In Young Children, Hannah Schlomann

Psychology Student Publications

This paper examines the relationship between physical activity and cognitive development in young children ages 0-5. Increased tablet time and sedentary behavior is becoming common for young children. This paper examines the effect of four categories of movement including screen based sedentary behavior, non-screen based sedentary behavior, light physical activity, and moderate to rigorous physical activity, as well as the effects of motor ability on cognitive development.

The Predictive Ability Of Child Characteristics And Parenting Factors On Four Developmental Domains In Toddlers, Melly Latifah, Dwi Hastuti, Neti Hernawati, Reisi Nurdiani, Raihan Ainun Hasanah

Jurnal Keperawatan Indonesia

Stunting is a chronic condition that has a significant impact on child development. This phenomenon is primarily caused by prolonged nutritional deficiency, especially during the first 1,000 days of life. In addition, as family factors also play a crucial role in children’s development, this study aims to analyze the influence of child and family characteristics, mother–child attachment, parenting practices, and the nutritional status of children (stunted/non-stunted) on children’s gross motor, fine motor, language, and personal–social skills. This study used a quantitative design with an explanatory approach involving 202 mother–child pairs with children aged 12–36 months. The findings show that healthcare …

Staff Education To Improve Mental Health Access For Underserved Populations Through Telehealth, Kafayat Olabisi Oluwole

Walden Dissertations and Doctoral Studies

This staff education doctoral project evaluated whether structured telehealth training improves psychiatric nurses’ knowledge in delivering care to underserved populations. A gap in practice was identified, as many psychiatric nurses lacked formal training in providing culturally competent and effective virtual mental health services. Guided by the ADDIE model and the Johns Hopkins evidence-based practice framework, a structured educational intervention was implemented with 25 psychiatric nurses. Participants completed pre- and posttests to assess knowledge gained. Results demonstrated an increase in mean scores from 62.8% to 77.4%, reflecting a 14.6% improvement. A paired t test indicated statistical significance (p < .05), confirming the effectiveness of the intervention. These findings suggest that targeted telehealth education enhances psychiatric nurses’ readiness to deliver high-quality, culturally responsive care. This project supports positive social change by improving access to equitable mental health services for underserved populations.

Determining Factors Leading To Sobriety In Native American Graduates Of A Joint-Jurisdictional Court Program, Ryan Fisher

Walden Dissertations and Doctoral Studies

The issue of driving under the influence (DUI) is a continuous problem in rural communities, especial those in Indian Country. Alcohol use and abuse has long been a health concern for these communities contributing to higher mortality rates and increased incarceration rates for American Indian / Alaskan Native (AIAN) populations. Wellness courts, using the problem-solving court model, have been successful in helping DUI offenders achieve sobriety and wellness. While the model has been successful, there remains a lack of qualitative research into why participants find success in these programs; especially marginalized populations such as AIAN. This phenomenological qualitative study was …

Empowering The Karen Community: Using Education To Improve Cervical Cancer Health Literacy, Grace E. Berentson, Michaela Bartels, Monica Angeletti, Jennifer Liu

Innovations in Health Sciences Education Journal

This is an abstract from the Spotlight on Scholarship event in 2026.

Effect Of The Senior Clinical Practicum On Baccalaureate Nursing Student Self-Efficacy, Allyson N. Mattingly

Graduate Theses, Dissertations, and Capstones

While nursing shortages are increasing and nurses are reporting higher rates of burnout and job-related stress, it is critical that educators in pre-licensure nursing programs identify strategies to better prepare novice nurses for entering the workforce. Using Bandura’s Social Cognitive Theory as a framework, this study sought to investigate whether a senior clinical practicum experience increases general and nursing competence self-efficacy, which may indicate better ability to cope in the face of adversity. This study was a quantitative one-group pretest-posttest design, investigating undergraduate Bachelor of Science in Nursing (BSN) students from accredited institutions in Kentucky. Results suggest that the clinical …

Free Versus In Situ Right Internal Mammary Artery As A Conduit In Coronary Artery Bypass Surgery: A Meta-Analysis, Yuta Kikuchi, Tomoki Sakata, Tomonari Shimoda, Shinichi Fukuhara, Junichi Shimamura, Makoto Hibino, Tsuyoshi Kaneko, Hiroo Takayama, Hisato Takagi, Michel Pompeu Sa, Toshiki Kuno

Department of Medicine Faculty Papers

OBJECTIVES: There is debate regarding the optimal choice for a second conduit in coronary artery bypass grafting. The right internal mammary artery (RIMA) is commonly employed as a second conduit; however, it is unclear whether the free (fRIMA) or in situ (isRIMA) configuration yields superior outcomes. We performed a systematic review and meta-analysis to compare clinical outcomes between fRIMA and isRIMA as the second conduit.

METHODS: A comprehensive search of PubMed (MEDLINE), EMBASE, and CENTRAL was performed through May 2025 to identify studies comparing outcomes in patients undergoing coronary artery bypass grafting with either fRIMA or isRIMA as a second …

Optimal Control And Bifurcation Analysis Of A Predator–Prey Model With Self-Limiting Growth And Predator Disease, Dipo Aldila, Muhammad Akmal Fasya, Bevina D. Handari, Chidozie Williams Chukwu, Olumuyiwa James Peter

Mathematical Modelling and Numerical Simulation with Applications

We propose and analyze an eco-epidemiological predator–prey model that incorporates self-limitation and disease transmission within the predator population. The model is formulated as a system of ordinary differential equations describing logistic prey growth under the interspecific interaction with the predator. On the other hand, the predator population is divided into susceptible and infected classes, whose growth is constrained by prey availability. Three biologically relevant equilibria are identified: predator extinction, disease-free coexistence, and coexistence with endemic disease. The existence and stability of these equilibria are determined by key ecological and epidemiological thresholds, including the basic reproduction number. Using numerical continuation methods, …

Optimal Control Strategies For Infectious Diseases: A Numerical Simulation Approach, M. Abu Salek, Jannatun Nayeem, Romana Yesmin, M. Haider Ali Biswas, M. Humayun Kabir

Mathematical Modelling and Numerical Simulation with Applications

Various infectious diseases, such as Tuberculosis and Hepatitis B virus (HBV), caused by Mycobacterium bacteria and hepatitis B virus, respectively, pose serious threats worldwide. This paper examines the spread of these diseases using a mathematical model that incorporates control measures, including vaccination and awareness programs. We use a system of differential equations with control variables and apply Pontryagin's principle to determine optimal control strategies. The stability of the Disease Free Equilibrium (DFE) has been analysed and demonstrated to be both locally and globally asymptotically stable when the basic reproduction number remains below unity, thereby ensuring disease elimination. Furthermore, the Endemic …

Measuring Market Risk Through Entropic Var, Dragomir Nedeltchev, Tsvetelin Zaevski

Mathematical Modelling and Numerical Simulation with Applications

The article aims to measure the market risk beyond the basic risk measures like the Value-at-Risk (VaR) and the Expected Shortfall (ES). The Entropic Value-at-Risk is selected among the available measures based on its advantages -- it is the coherent upper bound of the VaR and ES. This risk measure is applied to the classical Black-Scholes model as well as to some more realistic ones, such as the exponential tempered stable model (the log-returns are presented by a tempered stable L\'evy process), the stochastic volatility model of Heston, its jump extension of Bates, and another stochastic volatility model but with …

Progress On The Sustainable Development Goals In Asia Requires Ambitious Climate Targets Combined With Sustainability-Focused Measures, Pu Wang

Double Helix Methodology

Asian countries face the dual challenge of fulfilling ambitious climate commitments under the Paris Agreement while simultaneously advancing the United Nations Sustainable Development Goals (SDGs). This study develops an integrated analytical framework that links decarbonization pathways with SDG indicators across energy, air quality, health, and the food-water-land nexus, as well as policy cost-effectiveness, explicitly incorporating national circumstances. Our findings indicate that current climate pledges primarily deliver gains in SDG indicators related to energy and air quality. Achieving broader progress across other SDG dimensions requires combining more ambitious climate targets with diverse, sustainability-oriented mitigation measures tailored to domestic contexts. Middle- and …

Moving Forward While Swaying Left And Right: How To Govern National Innovation Systems-Catalysed Innovation Ecosystems?, Jiang Yu

Double Helix Methodology

There is a burgeoning literature arguing that addressing grand challenges, such as de-globalization, requires a set of complementary actors to build innovation ecosystems (IE), which are also strategically integrated into the national innovation system (NIS). We conceptualize this specific systemic phenomenon as a new type of IE—NIS-catalysed IE—whose sustainable growth is said to be constantly hindered by dependent yet opposing tensions. The current literature provides fruitful insights into governing paradoxical tensions; however, some taken-for-granted theoretical assumptions within it are problematic when examining the relationship between salient paradoxes embodied in NIS-catalysed IE and effective governance mechanisms. Drawing on a single longitudinal …

How Does High-Tech Entrepreneurship Affect Incumbent Firm Innovation In Regional Innovation Ecosystems?, Beibei Hu

Double Helix Methodology

High-tech entrepreneurship plays a central role in shaping regional innovation ecosystems, yet the mechanisms through which it affects innovation in incumbent firms remain underexplored. Using firm-level data from the Zhongguancun Science Park (2005–2015), this study investigates the impact of high-tech entrepreneurship on incumbent firms’ innovation. The results reveal that high-tech entrepreneurship significantly enhances innovation among incumbent firms, primarily through R&D investment and human capital. Moreover, this effect is stronger in the electronic information industry and during the development stage. Overall, the study highlights the role of high-tech entrepreneurship in driving the evolution of regional innovation ecosystems. © The Author(s) 2026. …

“Safe Haven" Or “Risk Source" ? The Time-Varying Impact Of Geopolitical Risk On China's Short-Term Capital Flows, Yu Song

Double Helix Methodology

This paper examines the dynamic impact of geopolitical risk on short-term capital flows using a time-varying parameter vector autoregression (TVP-VAR) model and analyzes the transmission mechanism through interest rate differentials and exchange rate expectations. The findings indicate that geopolitical risk is a significant driver of short-term capital flows in China, with increased geopolitical risk leading to short-term cross-border capital outflows. Impulse response analysis across different time points indicates that financial opening-up policies affect short-term capital flows, yet gradual financial opening-up has not significantly amplified the impact of geopolitical risk. Under the influence of geopolitical risk, interest rate differentials and exchange …

Pseudomonas Aeruginosa: A Rare Cause Of Necrotizing Fasciitis, Carrine S. Kogulan, Oluwafemi Ajibola

Student Publications

Necrotizing fasciitis (NF) is a rare but life-threatening soft tissue infection characterized by rapid progression, systemic toxicity, and high mortality. While Group A Streptococcus is the most common pathogen, Pseudomonas aeruginosa is an uncommon cause, typically reported in immunocompromised patients.

We present the case of a 77-year-old male with chronic lymphocytic leukemia (CLL), chronic kidney disease, and other comorbidities who initially presented to an outside facility with three days of fever and left lower extremity pain. He was admitted with presumed cellulitis, and blood cultures grew Pseudomonas aeruginosa. Despite appropriate antibiotic therapy with vancomycin and ceftriaxone, the patient developed …

Bifurcation Exploration Of Ion Acoustic Solitons Formation Of A Nonlinear Beta Fractional Kadomtsev-Petviashvili Burger Model In Plasma State, Mst. Razia Pervin, Alrazi Abdeljabbar, Fahad Sameer Alshammari, Mst. Shekha Khatun, Harun Or-Roshid

Mathematical Modelling and Numerical Simulation with Applications

This research presents an extensive investigation of Ion acoustic soliton dynamics governed by a Beta-fractional Kadomtsev-Petviashvili-Burgurs (KPB) model. By engaging the planar dynamical system scheme in aggregation with the extended $(\phi, \psi)$ expansion, Kudryashov expansion, and the NMKM analytic schemes, we create a broad class of exact nonlinear pattern wave solutions. The local stability edifice of the fractional plasma model is explored through bifurcation theory, enabling the far-reaching classification of all admissible phase diagrams. Conforming Ion acoustic wave structures allied with every detour alignment are systematically assembled. Owing to the fractional and dissipative appearances of the model, an all-embracing assortment …

Employing Effective Solution Methods For Caputo-Based Sequential Fractional Models, Eman A. A. Ziada, Mohamed F. Abouelenein, Hijaz Ahmad, Monica Botros

Mathematical Modelling and Numerical Simulation with Applications

This paper investigates a class of nonlinear sequential singular fractional differential equations (FDEs) involving Caputo derivatives. This type of equation has several key advantages that enhance its value, such as capturing memory and hereditary effects. Viscoelastic materials and anomalous diffusion, as well as biological systems, can take advantage of this feature. In addition, fractional derivatives possess a sequential structure that enables the implementation of multiscale processes and hierarchical memory responses. Moreover, it provides an effective and flexible framework for solving differential equations compared to classical differential equations. It can therefore be used to model complex systems in physics, biology, and …

Numerical Simulations And Hyers-Ulam Stability Of A Novel Nonlocal Anthropogenic Cutaneous Leishmaniasis Mathematical Model, Khalid Fanoukh Al Oweidi, Zakirullah -, Kamal Shah, Thabet Abdeljawad

Mathematical Modelling and Numerical Simulation with Applications

In this work, the fractal-fractional Atangana-Baleanu derivative with the Mittag-Leffler kernel is employed to capture the memory and hereditary effects inherent to anthropogenic cutaneous leishmaniasis transmission dynamics. The Banach fixed-point theorem and contraction mapping principle are used to prove the existence and uniqueness of solutions, while Hyers-Ulam stability of the system is analyzed to demonstrate the robustness of solutions with respect to small perturbations. Using a nonlinear least-squares approach, model parameters and fractional order are estimated using epidemiological data from the World Health Organization. The basic reproduction number $R_0 = 0.53$ indicates that the disease is under control after adding …

Markov-Modulated Queueing Network For Mobile Traffic Aggregation With Threshold-Controlled Buffers, Anton A. Esin, Elmira Yu. Kalimulina

Mathematical Modelling and Numerical Simulation with Applications

We study the problem of data transmission from mobile platforms operating in high-speed transit between cellular base stations, under conditions of unstable and intermittent connectivity. Conventional queueing and connectivity models often fail to capture the combined effects of rapidly changing signal conditions, finite buffer capacity, and dynamic topology. We aim to develop a tractable yet expressive model that integrates stochastic link availability, queue dynamics, and buffer control. We propose a mathematical framework based on queues whose service intensities are modulated by a continuous-time Markov chain (CTMC) representing signal conditions along a high-speed trajectory. The core subsystem is a two-stage (aggregation …

Exact Soliton Solutions Of The Nonlinear Time-Fractional Schrödinger Equation Via Atangana–Baleanu And M-Truncated Operators, Bahadır Kopçasiz, Fatma Nur Kaya Sağlam, Mehmet Şenol

Mathematical Modelling and Numerical Simulation with Applications

The main objective of this work is to obtain exact soliton solutions for a nonlinear time-fractional equation model describing wave profiles arising in various physical systems. To derive different wave structures associated with the considered model, two analytical techniques are employed: the extended G'\G^2-expansion method and the modified auxiliary equation (MAE) approach. A wave transformation is applied to reduce the nonlinear time-fractional equation to a nonlinear ordinary differential equation (NLODE) by means of the M-truncated and Atangana-Baleanu (AB) fractional operators. Several classes of solutions, including exponential, hyperbolic, and trigonometric wave forms, are obtained. Over and above the analytical results, graphical …

Dynamical Analysis And Optimal Control Of The Mpox Transmission Model With Stratified Susceptibility, Tuhfatul Janan, Fatmawati Fatmawati, Cicik Alfiniyah, Santi Martini, Dipo Aldila, Agus Hasan

Mathematical Modelling and Numerical Simulation with Applications

This study develops a mathematical model of Mpox transmission that combines stratified susceptibility (low-risk and high-risk groups) with vaccinated and asymptomatically infected compartments. The analysis of the model begins with examining the well-posedness, boundedness, and nonnegativity conditions for the solutions. The local stabilities of the equilibria are examined through the Jacobian matrix and phase plane analysis, while the global stabilities are provided through Lyapunov functions. The estimated parameters are verified using epidemiological data on Mpox cases in the United States, with an MAPE of 2.20% and R_0 > 1, indicating that Mpox remains endemic. Sensitivity analysis indicates that the contact rate …

Mark-Brian Kline V. Alien Property Custodian Representative

2026 Decisions

USDC for the District of New Jersey

Vermonters See No Role For Religion In Public Life, Nearly Half Identify As Non-Religious 3/31/2026, Unh Survey Center

All UNH Survey Center Polls

Two-thirds of Vermont adults say they never attend religious services, despite many regularly attending in their childhood, and nearly half of the population identify as agnostic, atheist, or religiously unaffiliated, while less than one-fifth each identify as Catholic or Protestant. Overall, a majority say that religion is not very or not at all important to their lives. State residents are split on whether religion has a positive or negative effect on society but most feel that religion should play no role in public affairs and that prayer is public schools is inappropriate. Notwithstanding these opinions, about half of Vermonters personally …

Neutrosophic Sets In Neural Networks: Theory, Applications, And Challenges, Vladimir Simic, Dragan Pamucar, Hafiz Muhammad Athar Farid

Neutrosophic Systems with Applications

The integration of neutrosophic sets into neural networks presents a novel approach to handling uncertainty, indeterminacy, and falsity in data. Traditional neural networks typically operate under the assumption of precise and complete data, but real-world applications often involve noisy, incomplete, or ambiguous information. Neutrosophic sets extend fuzzy logic by incorporating three components: truth, indeterminacy, and falsity, allowing for a more nuanced representation of uncertain data. This paper explores the theoretical foundations of neutrosophic sets and their integration with neural networks, highlighting the challenges in computational complexity, training, and optimization. The paper also discusses the potential applications of neutrosophic neural networks …

Neutrosophic Probability With Dynamic Temporal Uncertainty (Nptu), Bhimraj Basumatary, Ashoke Kumar Brahma

Neutrosophic Systems with Applications

This paper introduces Neutrosophic Probability with Dynamic Temporal Uncertainty (NPTU), an extension of classical neutrosophic probability that incorporates the dimension of time. In classical neutrosophic probability, the degrees of truth, indeterminacy, and falsity are considered static. However, real-world uncertainties evolve, and their degrees change as new information becomes available. NPTU models these uncertainties dynamically, allowing for more accurate decision-making in time-varying environments. The paper explores key mathematical properties of NPTU, including entropy, distance measures, similarity measures, and Kullback-Leibler (KL) divergence, to quantify and compare temporal uncertainty states. The proposed framework is demonstrated through a case study on stock price prediction, …

Emergent Operator Logic: A Foundational Framework For Dynamic Reasoning And Generative Intelligence, Mona Gharib, Abduallah Gamal, Muhammad Nawaz, Basma Nasir

Neutrosophic Systems with Applications

This paper introduces Emergent Operator Logic (EOL), a framework that treats propositions as continuous operators $F_p:X \rightarrow X$ on a complete metric state space $( X,d )$ and evaluates truth after action via a continuous valuation $V:X \rightarrow [ 0,1 ]$. Logical composition is realized by three operator-level connectives: sequential $p \circ q$(causal order), parallel $p\parallel q$(1-Lipschitz cooperative blend), and the emergent synthesis $E( p,q ) = \frac12( F_p \circ F_q + F_q \circ F_p )$, which symmetrizes non-commuting actions. We provide a Hilbert-style proof system (sound), an algebraic semantics via E-algebras, and show that the category of E-algebras is …