Digital Commons Network^™

Her Voice In Photos: Empowering Women Through The Lens Of Resilience, Doryn Wallach

Theses - ALL

Women in midlife (ages 40–65) face a convergence of psychosocial stressors, including hormonal transitions, caregiving demands, identity shifts, and cultural invisibility, yet accessible, non-clinical supports remain scarce. This program evaluation examined whether participatory therapeutic photography, paired with brief written reflection and community witnessing, could function as an art therapy-informed, strengths-based intervention for this population. Five participants completed a week-long photography sequence structured around a challenge, reframe, and reflect arc, selecting three captioned images and a written reflection to represent their experience. Images were displayed in a digital frame installed where three midlife women served as community witnesses. The researcher collected …

From Regionalism To Continentalism: Lessons From Ecowas For The Implementation Of Afcfta., Michael Agbo

Theses - ALL

Abstract: This thesis examines the Economic Community of West African States (ECOWAS) as a test for understanding Africa’s continental economic integration under the African Continental Free Trade Area (AfCFTA). It argues that the persistent failures of state-led integration, in this matter, the ECOWAS, from the repeated inability to roll out a single currency for trade within West Africa to the deliberate infiltration of France and other Western capitalist interests in the economic lives of the people of West Africa, are not just incidental failures of political will or technical implementation setbacks. They are consequences of building Pan-Africanism and integration efforts …

Neither Here Nor There: Cultural Identity Among Vietnamese Immigrants, Duyen Thu Pham

Theses - ALL

Acculturation is a fundamental aspect of the migration experience that enables individuals to adapt to new environments while maintaining meaningful connections within both familial and social spheres. Depending on class, economic conditions, and sociopolitical context, experiences of acculturation differ across generations. This thesis argues that, through the ongoing process of cultural negotiation, Vietnamese immigrants create unique cultural identities that balance adaptation to the host country with the preservation of Vietnamese cultural values, beliefs, and practices. It also explores how migration history, intergenerational differences, and cultural memory influence varied experiences of acculturation and belonging among Vietnamese immigrants in the United States. …

Trustworthy Reinforcement Learning And Communication-Efficient Multi-Agent Systems, Rui Zuo

Dissertations - ALL

The rapid proliferation of autonomous systems, such as Unmanned Aircraft Systems (UAS) transitioning to large-scale Beyond Visual Line of Sight (BVLOS) operations, demands a paradigm shift toward reliable, transparent, and resilient autonomy. While Deep Reinforcement Learning (DRL) and Multi-Agent Reinforcement Learning (MARL) have demonstrated exceptional capabilities in complex decision-making and coordination, their real-world deployment in safety-critical domains is hindered by two fundamental challenges. First, the opaque, "black-box" nature of DRL models prevents human operators from understanding and trusting the agents' underlying logic. Second, as multi-agent operations scale, they become severely constrained by the stochastic link qualities and strict bandwidth limitations …

Preserving The Family In The Globalized Era: Explaining State Discouragement Of Women’S Rights And The Gap Between Law And Family Realities In Tajikistan, Ivy Alexandra Raines

Dissertations - ALL

This dissertation is guided by a two-part research question, which begins by asking why Tajikistan exhibits low levels of gender equality within the family despite strong international commitments and a formally secular legal framework. The second question builds on the first by asking why a state that offers legal guarantees in line with its international commitments, as outlined by Article 16 of the Convention on the Elimination of All Forms of Discrimination Against Women (CEDAW), invests significant energy in discouraging divorce rather than in safeguarding women’s rights that would support their ability to leave harmful marital situations. Employing qualitative discourse …

Clinical Designs For Two Dependent Binary Endpoints In Comparison With A Control, Chishu Yin

Dissertations - ALL

This dissertation studies clinical trial designs for comparing multiple experimental treatments with a control when each treatment is evaluated using two possibly dependent binary endpoints, typically efficacy and safety. Motivated by the growing importance of multi-endpoint decision making in clinical research, the dissertation develops exact ranking-and-selection procedures that avoid large-sample normal approximations and instead rely on exact probability calculations. Throughout, dependence between the two endpoints within a treatment arm is accommodated through an odds-ratio-based framework, and the underlying computations are carried out using bivariate binomial and quadrinomial distributions. After an introductory chapter that reviews the methodological background and motivates treatment …

Scaling Logical Reasoning On Modern Hpc Hardware, Yihao Sun

Dissertations - ALL

Deductive logic reasoning has evolved from a theoretical symbolic artificial intelligence tool into a massive computational workload. Modern domains, ranging from static program analysis and binary reverse engineering to knowledge-graph reasoning, rely on Datalog, a logical query language, to express deeply recursive, declarative specifications. However, scaling logic reasoning to these industrial workload exposes two interlocking ceilings in traditional engines. Architecturally, the memory bandwidth and parallel throughput of single-node CPUs fall drastically short of the read- and write-heavy demands of semi-naive evaluation. Asymptotically, traditional query processing algorithms, such as binary join algorithms generate massive intermediate relations that exhaust device memory on …

Three Essays On Collaborative Policymaking: Examining The Influence Of Procedural Dynamics On Policy Outputs In Collaborative Marine Fisheries Management, Shuping Wang

Dissertations - ALL

This dissertation advances the study of collaborative policymaking by examining an underexplored relationship: how the collaborative policymaking processes shape policymaking outputs. Drawing on scholarship on collaborative policymaking, adaptive policymaking, and collective learning, this dissertation proposes and tests three approaches to measuring both processes and outputs, using U.S. Marine Fishery Management Councils as the empirical context. Three essays collectively demonstrate that policymaking outputs are systematically shaped by the dynamics of the collaborative process itself. Essay 1 shows that knowledge diversity among stakeholders affects the passage of council decisions, revealing that engagement with diverse knowledge forms is not always positively associated with …

Three Essays On Political Economy And International Trade, Shuo Zhang

Dissertations - ALL

This dissertation is composed of three papers that explore how institutions, globalization, and trade shocks affect individuals' political preferences and firms' behavior. The first paper studies how mass protest events drive political change among citizens. I exploit the 2019 Anti-Extradition Law Amendment Bill Movement (ANTI-ELAB protest) in Hong Kong and its impact on the subsequent 2019 Hong Kong District Council Election. Taking advantage of a granular dataset of organized events during the protest, I exploit spatial variation in protest intensity, as measured by the number of events, across Constituency Areas. Empirical results show that in Constituency Areas with higher protest …

Learning Under Information And Experience Constraints In Multi-Agent Reinforcement Learning, Qinwei Huang

Dissertations - ALL

Reinforcement learning is a powerful approach for training cooperative multi-agent systems. However, it is usually studied under idealized conditions. Standard formulations assume abundant experience, reliable communication, and cleanly observable state. Physical multi-agent systems rarely satisfy these assumptions, and instead operate under several kinds of scarcity. This dissertation studies reinforcement learning for cooperative multi-agent systems under two practical resource constraints. We show that effective learning in these settings depends not only on how much communication, computation, or experience is available, but also on how limited information and experience are represented, reused, and evaluated. Part I addresses information constraints in cooperative multi-agent …

Bio-Inspired Visual Intelligence: Improving Efficiency And Robustness Through Foveal-Peripheral Sampling And Learned Saccades, Jiayang Liu

Dissertations - ALL

Deep neural networks have achieved state-of-the-art performance across a wide range of computer vision tasks, yet their deployment in real-world and safety-critical domains remains limited by two major challenges: vulnerability to adversarial perturbations and high computational cost. While adversarial training can improve robustness under certain threat models, it is computationally expensive and often generalizes poorly to black-box or transferable attacks. At the same time, conventional vision pipelines process uniformly sampled high-resolution images, introducing substantial data redundancy, latency, and energy overhead. In contrast, the human visual system achieves efficient and robust perception through space-variant foveal-peripheral sampling, attention-guided saccadic eye movements, and …

Legitimacy And Reputation In Sports Corporate Social Advocacy: The Role Of Communication Strategies, Issue Position, And Fan Identification, Maria Grover

Dissertations - ALL

Corporate social advocacy (CSA) has become increasingly common in professional sport, yet most research has examined individual athlete activism or sport consumer brands rather than leagues and teams. This dissertation examined how two public-relations communication strategies – highlighting a collaborative decision-making approach and creating a strong explanatory link between an organization and an issue – impact perceived CSA legitimacy and organizational reputation, and how audience-level factors such as fan identification and pre-existing issue position condition those evaluations. A 2 × 2 between-subjects experiment with a control group (N = 302) presented U.S. NFL fans with a fictitious league statement advocating …

Ann Sheehan V. Shippensburg University Of Pennsylvania

2026 Decisions

USDC for the Middle District of Pennsylvania

Wmu Board Of Trustee Board Meeting, Thursday June 25, 2026, Wmu Board Of Trustees

WMU Board of Trustees Meetings

• Acceptance of the Agenda
• Approval of the Minutes (April 16, 2026)
• Remarks by the Chair of the Board
• Remarks by the President
• Updates by the Faculty Senate President
• Updates by the Western Student Association Speaker of the Assembly
• Updates by the Graduate Student Association President
• Western Michigan University Employee Graduates
• Academic Tenure and Promotion
•  Public Comments Regarding Action Items

Action Items

• Academic Tenure and Promotion
• Fall 2026 Differential Tuition Rates
• Fall 2026 Tuition and Required Fee Rates
• 2026-27 General Fund Operating Budget
• Teaching Assistants Union (TAU) Labor Agreement
• Michigan State Employees Association (MSEA) Labor Agreement
• President’s Annual Review/Compensation/Contract
•  Memorandum of …

Agentic Ai-Enabled Physics-Informed Machine Learning Framework For Intelligent Building Modeling, Control, And Automation, Zixin Jiang

Dissertations - ALL

Buildings account for a significant share of global energy consumption, and meeting the 2050 net-zero decarbonization targets requires retrofitting approximately 10,000 buildings per day in the United States alone. However, current human-centered workflows for building modeling, simulation, control, and operation remain too slow and labor-intensive to support deployment at this scale. This dissertation proposes an integrated two-pillar framework consisting of a physics-informed machine learning framework for integrated building modeling, control, and simulation, and a multi-agent agentic AI framework for automating building energy engineering workflows built on top of that foundation. The first pillar introduces a Physics-Informed Modularized Neural Network (PI-ModNN) …

Subliminal Priming Effects On Motor And Cognitive Performance: Pilot Evidence With Implications For Neurorehabilitation, Rehab E Aljuhni, Ghader A Alqadhi, Saud A Alhassan, Sultan A Alanazi

Neurosciences

Objective: To investigate whether subliminal priming modalities (visual, auditory, or word-based) influence motor and cognitive performance in healthy young adults, and whether these effects vary by gender.

Methods: A total of 30 healthy adults were assigned to visual, auditory, or word-based priming using single-blind, stratified randomization. Subliminal stimuli were presented for 50 ms. Motor outcomes included reaction time on dominant (RT-R) and non-dominant (RT-L) sides, comfortable and maximal walking speeds measured by the 10-Meter Walk Test (10MWT), and functional mobility assessed using the Timed Up and Go (TUG) test. Cognitive performance assessed using the Trail Making Test (TMT). Outcomes were …

Relationships Between The Corpus Callosum Index And Current Blood Parameters And Temporal Changes In These Parameters In Patients With Multiple Sclerosis, Oruç Şahin, Muzaffer Güneş

Neurosciences

Objectives: This study aimed to investigate changes in blood parameters and examine the relationships among the corpus callosum index (CCI), plaque characteristics, and blood parameters in multiple sclerosis (MS) patients. In MS, the CCI is associated with brain atrophy and disease progression.

Methods: In this retrospective, cross-sectional study, demographic data from 103 MS patients (38 males), along with blood parameters obtained five years earlier and current values, were analyzed in relation to magnetic resonance imaging (MRI) findings. The CCI calculated from MRI scans was assessed in relation to plaque distribution and number. Statistical analyses included paired sample t tests, Wilcoxon …

(R2077) Enhancing Queue Management: Dynamic Server Allocation And Optional Services In Stochastic Modeling, G. Ayyappan, S. Sankeetha

Applications and Applied Mathematics: An International Journal (AAM)

Consider a queueing system with a single server, where customer arrivals follow a Markovian arrival process and service times follow a phase-type distribution. The main server has the capability to recruit an additional server when the number of customers in the system exceeds a certain threshold, denoted as L. Both servers provide normal service to customers, and optional service is provided upon request. The main server takes multiple vacations, with the durations following an exponential distribution with rate parameter η, until there is at least one customer in the system. This system can be represented as a Markov chain process, …

(R2142) Queueing System With Batched Services, Server-Controlled Re-Service, Set-Up Time And Multiple Vacation, S. Karpagam, N. Aarthy, B. Somasundaram

Applications and Applied Mathematics: An International Journal (AAM)

To analyze a bulk queueing system with server-controlled admission for reservice, low-batch service, multiple vacation and set-up time. The study explores how the server dynamically adjusts between low-batch and bulk services based on the queue size. After completing a bulk service, the departing batch may request reservice with a certain probability. However, accepting the request is not mandatory, and the server admits it with some probability. Whenever the queue becomes empty, whether after reservicing, completing service with no reservice request, or ending the low-batch service, the server enters a random-length vacation. If the queue still has less than ‘a’ customers …

(R2177) Further Study On Intuitionistic Fuzzy Matrices, S. Sriram, A. Anitha

Applications and Applied Mathematics: An International Journal (AAM)

In this paper, we present a comprehensive study of the distributive law associated with two newly introduced operations addition and multiplication defined on Intuitionistic Fuzzy Matrices (IFMs). The proposed operations are systematically examined to investigate their algebraic properties, with particular emphasis on the behavior of the distributive law under these novel definitions. Furthermore, modal and extended modal operators are employed to establish several theoretical results that reinforce the mathematical foundation of the proposed framework. The validity and practical relevance of these results are further demonstrated through applications in decision-making scenarios, highlighting their effectiveness in addressing complex problems characterized by uncertainty.

(R2138) Analytical Approaches To Integral Equations In The Dynamics Of The Oblate Spheroidal: Earth-Sun-Satellite System, Kumari Ranjana, M. Shahbaz Ullah, M. Javed Idrisi

Applications and Applied Mathematics: An International Journal (AAM)

The deployment of artificial satellites in different gravitational environments has significantly impacted space exploration. We have introduced the study of artificial satellites under the influence of gravitational forces from oblate spheroids. To confront complex obstacles the myriads of both numerical and analytical techniques have been formulated. Among these methods, a new approach involving the integration of integral equations has been introduced. This innovative approach has been applied to study the trajectories of artificial satellites as they navigate the gravitational influence of oblate spheroids. Suitable kernels have been carefully chosen to solve the integral equations. The solutions have been found and …

(R2139) Italian Domination Number For Some Classes Of Trees, Amritha Prakash, Ragukumar Pandurangan

Applications and Applied Mathematics: An International Journal (AAM)

For a graph G with vertex set V , an Italian dominating function is a function f from V to {0, 1, 2} which has the property that for every vertex which is assigned 0, it must either adjacent to a vertex assigned 2 under f or adjacent to at least two vertices assigned 1 under f. The weight of an Italian dominating function is the sum of all weights assigned to the vertices. The minimum weight of an Italian dominating function f is the Italian domination number. Finding a graph’s Italian domination number is a well-known NP-Complete problem. Even …

(R2159) A Novel Extension Of Picard’S Method For Fractional Initial Value Problems With Convergence Analysis On Finite And Infinite Intervals, Jag Mohan, Anju Sood

Applications and Applied Mathematics: An International Journal (AAM)

In recent years, fractional differential equations have emerged as powerful tools for modeling phenomena with memory and hereditary effects, owing to their non-local characteristics. These equations excel in tackling intricate problems across physics, engineering, and other fields. As analytical solutions are often infeasible, numerical methods play a vital role in their practical application. In this study, we have generalized Picard’s method to address fractional differential initial value problems with Caputo derivative, establishing an existence and uniqueness theorem applicable to both finite and infinite intervals. To substantiate our findings, we provide an example with graphical evidence demonstrating the convergence of the …

(R2170) Delta-Continuous Functions In Interval-Valued Neutrosophic Soft Topological Spaces And An Application Using Distance And Similarity Measures, B. Vijayalakshmi, S. Madhunika

Applications and Applied Mathematics: An International Journal (AAM)

This paper introduces delta-continuous functions in interval-valued neutrosophic soft topological spaces and investigates their fundamental properties. Additionally, delta-irresolute functions are introduced within the same framework. The relationships between these functions and existing function classes are explored. Several theorems, accompanied by illustrative examples, are provided to support the theoretical findings. The study also includes an application of the proposed concepts to distance and similarity measures.

(R2191) The Study Of Stokes Drag In The R4bp Under The Effect Of Coriolis And Centrifugal Forces With Variable Mass, Amit Mittal, Krishan Pal, Rajiv Aggarwal, Rajveer Singh

Applications and Applied Mathematics: An International Journal (AAM)

In this paper, we examine the existence, locations, and stability of the equilibrium points under the combined effects of Stokes drag and small perturbations in the Coriolis and centrifugal forces in the triangular restricted four-body problem (TR4BP) with variable mass. A triangular (Lagrangian) configuration is formed by the three primary bodies, which occupy the vertices of an equilateral triangle. All the primaries are treated as point masses to study the dynamical behavior of an infinitesimal body. The numerical results indicate that, under the influence of Stokes drag, none of the equilibrium points lie along a straight line. The centrifugal force …

(R2187) Analysis Of Neurological Impairments In Hospitalized Patients Using Cubic Neutrosophic Sets, B. Anitha, M. Lavanya

Applications and Applied Mathematics: An International Journal (AAM)

This study introduces an MCDM-based framework for identifying neurological diseases in hospitalized patients using symptom-based evaluations. A team of interns, guided by the chief doctor, was responsible for determining each patient’s precise condition from the presented neurological symptoms. To enhance diagnostic accuracy, the interns employed the TOPSIS and WASPAS methods to assess and rank the potential disease options. The combined analysis yielded a clear identification of the highest ranked disease for every patient, highlighting the effectiveness of these MCDM techniques in supporting clinical decision making.

Locate Alternative Media In The Digital News Ecosystem: A Cross-Country Comparative Study Of Alternative-Mainstream Audience Overlap Networks, Qinfeng Zhu, Fan Liang, Gabriel Miao Li

Communication Faculty Articles and Research

This study examines alternative media within the digital news ecosystem in six European countries: Norway, Sweden, Austria, Germany, France, and Spain. Using a network approach and a cross-country comparative design, we analyze audience overlap between alternative and mainstream media, the positions alternative media occupy within these networks, and how media systems and political contexts may shape these dynamics. Our findings show that while overall audience overlap is low, it is higher in countries where far-right populist parties have greater institutionalized access to political discourse. We also identify alternative media enclaves within the Northern-type media system characterized by strong professional journalism—particularly …

Behavioral Drafting: Defining A Field Hiding In Plain Sight, Christopher R. Trudeau

Cleveland State Law Review

Fine print is everywhere. It governs how we bank, shop, work, travel, and even receive medical care. Yet most people never read it—and those who try often give up because they are overwhelmed by technical jargon, impenetrable legal clauses, and strategically hidden terms. Still, these documents are not neutral. Every choice of wording, structure, and design quietly shapes behavior: nudging people to click “I agree,” to remain enrolled, or to give up rights they never realized they had.

This Article gives that reality a name—behavioral drafting. Borrowing insights from behavioral science, it shows how legal documents exploit well-documented tendencies to …

A Bone To Pick: Back To The Basics In Food Product Liability With A Necessary Reformation Of The "Hybrid" Negligence Standard, Clay Cutteridge

Cleveland State Law Review

Ohio does not use the traditional negligence standard in determining negligence in food product liability cases. Instead, Ohio uses what is called the hybrid test. The hybrid test analyzes what a consumer would reasonably expect to find in their food, and Ohio courts consider the naturalness of an object to the food it is in to be the determinative factor: natural objects should be reasonably expected and cannot give rise to successful claims of negligence. This hybrid test fails to consider that food is complex, and consumers often cannot know what to reasonably expect in the food they buy. The …

Exploratory Study Of Stress Myocardial Blood Flow And Myocardial Perfusion Reserve In Relation To Cerebral Small Vessel Disease On Mri: A Hypothesis-Generating Analysis, Young Ju Kim, Tsun Hei Sin, Chi Wai Stephen Cheung, Ka Fung Henry Mak, Ming Yen Ng

Journal of the Hong Kong College of Cardiology

Background: Small vessel disease of the heart and brain share common risk factors and pathophysiological mechanisms, but imaging-based evidence of a direct link between coronary microvascular dysfunction and cerebral small vessel disease (CSVD) remains limited. This study aimed to assess whether stress myocardial blood flow (MBF) and myocardial perfusion reserve (MPR) are associated with brain magnetic resonance imaging (BMR) markers of CSVD. Methods: This retrospective study included adult patients who underwent both cardiac magnetic resonance imaging (CMR) and BMR between January 2021 and December 2025 at a tertiary center. Quantitative stress MBF and MPR were assessed using adenosine stress CMR. …