Digital Commons Network^™

The Relationship Between Heteronormativity, Shame- Proneness, Shame-Withdrawal, And Empathy In College- Aged Men, Megan M. Tang

Honors Undergraduate Theses

Due to rising social discourse regarding “the male loneliness epidemic,” this study aims to examine possible predictors of empathy in cisgender, heterosexual, college-aged males. Empathy promotes prosocial behavior and is necessary for healthy interpersonal interactions, which may be limited in male experiences due to adherence to heteronormative values and lower levels of self-disclosure in men. Shame is more likely to occur when men stray from traditional gender roles, and people are more likely to engage in social withdrawal behaviors when experiencing shame. Shame-proneness has also been shown to inhibit empathetic behavior. This study explores two hypotheses, the first of which …

Addressing Barriers To Preventing Shaken Baby Syndrome In Low-Income Populations: A Pediatric Nursing Approach To Advocacy And Education, Deborah Fayomi

Honors Undergraduate Theses

Shaken Baby Syndrome (SBS) is a serious issue that affects infants, especially in low-income communities. This paper examines ways to prevent SBS through education, advocacy, and nurse-led interventions. Fifteen articles published between 2001 and 2025 were reviewed, with a focus on risk factors, prevention programs, and the role of health visitors in the United Kingdom. The research shows that poverty, parental stress, and low social support increase the risk of abusive head trauma. The thesis explores the range of intervention measures that have been successful to prevent SBS. Health visitors play a critical role, providing community-based support, culturally sensitive guidance, …

Quantifying Amendment Impact On Microbial Respiration Rate, Qwynn Starrwalker

Honors Undergraduate Theses

Wetlands play a critical role in the global carbon cycle by acting as carbon sinks, where the flooded anaerobic conditions cause slow microbial respiration compared to other soils. Comparatively more carbon is stored in the soil as organic matter than is released as carbon dioxide (CO₂). Making wetland pools of soil organic matter less available to microbes for respiration could reduce overall atmospheric CO₂ and slow global warming. This study examined the effect of kaolinite, goethite, and lime on microbial respiration rates in wetland soils under alternating hydrologic conditions. Homogenized soil from a cypress dome was separated …

Bloody Sunday: A Comparative Analysis Of Nonviolent Marches In Selma And Derry, Samantha J. Romero

Honors Undergraduate Theses

This thesis examines two different nonviolent civil rights marches: Selma’s march for voting rights in 1965 in the United States and Derry’s march to end internment without trial in 1972 in Northern Ireland. The two marches yielded drastically different outcomes despite employing the shared tactic of nonviolence. This research addresses the vital role that the political opportunity structure, rather than tactical repertoire alone, plays in determining whether state repression leads to reform or further conflict. Through a controlled comparative analysis, the research positions the march itself as a constant across the two cases. Subsequently, governmental allies, institutional openness, and regime …

Bridging The Gap: Investigating The Impact Of Adequate Prenatal Care On Adverse Maternal Outcomes Among Black And African American Women, Ciaera Ambroise

Honors Undergraduate Theses

The United States continues to face a maternal health crisis marked by persistent racial disparities, with Black women experiencing pregnancy-related mortality rates three times higher than those of White women. Despite national efforts to expand access to prenatal services, inequities in maternal outcomes remain, indicating that the quality of prenatal care may be as critical as its timing and frequency. The purpose of this thesis is to examine whether adequate prenatal care, compared to inadequate prenatal care, is associated with reduced adverse maternal outcomes among Black and African American women in the United States. Guided by a PICO question, this …

Ai-Thropology: A Study Of Artificial Intelligence Use In Anthropology, Carly R. Junod

Honors Undergraduate Theses

This study examines how undergraduate anthropology students utilize Artificial Intelligence tools in their coursework and the impact on perceptions of learning. As the use of AI becomes more commonplace, I investigated whether it has been integrated into the praxis of undergraduate anthropology students. Using a Likert-scale survey distributed to 26 anthropology students across multiple subfields, I investigated AI usage patterns, perceptions of academic integrity, and correlations with demographic factors. The results reveal that anthropology students exhibit conservative AI usage patterns, with the majority rarely using AI for core academic tasks such as drafting papers. ChatGPT and Grammarly emerged as the …

Evaluation Of The Long-Term Sealability Performance Of Aramid Fiber Nitrile-Based Gaskets, Salome Ramirez

Honors Undergraduate Theses

The reliability of sealed, oil-filled containers is critical for maintaining the operation of high-voltage energy systems, in which the sensitive electronics need to be isolated from the cyclic conditions associated with outdoor environments. New materials bring the possibility of extending service lifetimes and maintenance intervals. Aramid fiber nitrile-based gaskets are an attractive alternative to conventional gasket choices due to their long-term stability in various environments and compatibility with porcelain, metals, and plastics. For newly designed porcelain-to-metal fittings, understanding the behavior of the candidate gasket material under realistic loading conditions is essential to ensure long-term seal integrity and equipment safety. Traditional …

Discomfort In Silence: Investigating Workplace Discrimination In Relation To Employee Disclosure Of Menopausal Health Issues, Alysia Furbish

Honors Undergraduate Theses

Menopause is a universal developmental transition for women that often coincides with peak career years, yet it remains underexamined in organizational research and is frequently treated as a private or taboo workplace topic. This lack of visibility shapes whether women feel able to disclose menopause-related challenges, seek accommodations, and access organizational support. Drawing on literature related to pregnancy and motherhood discrimination, menopause stereotypes, and disclosure literature, this study examines how symptom burden, ideal worker norms, and stigma-related identity management contribute to anticipated workplace discrimination and disclosure decisions. Data were collected via an online survey of 106 working women recruited through …

Customer Perceptions Of Tipping In Minimal-Service Food Settings, Fabian R. Rodriguez Gomez

Honors Undergraduate Theses

As digital payment systems and point-of-sale technologies become increasingly common, customers are encountering more frequent requests to tip in minimal-service food settings, such as coffee shops, pizza parlors, and quick-service restaurants. These changes have prompted discussions regarding the fairness of tipping, customer willingness to tip, and the growing phenomenon of tipping fatigue. The purpose of this study was to examine how employee effort, social pressure, and social obligation influence customer perceptions of tipping in minimal-service food settings.

A quantitative experimental research design was used with 328 participants recruited through the online platform Prolific. Participants were randomly assigned to scenarios manipulating …

How Religious Priming Affects Morality In Sports, Daniel Prias

Honors Undergraduate Theses

This research focuses on filling the hole in existing literature regarding religious priming and how it affects morality in sports. This study examined whether different types of moral priming influenced moral reasoning in undergraduate soccer athletes. Participants were randomly assigned to one of four conditions: an external religious prime, an internal religious prime, a secular prime, or a no-prime control group. Moral reasoning was assessed using the Moral Reasoning in Sports Scenarios Questionnaire (MRSSQ), strength of religious faith was measured using the Santa Clara Strength of Religious Faith Questionnaire (SCSRFQ), and personality traits were assessed using the Mini International Personality …

Multi-Parameter Optimization And Adaptive Temperature Compensation For Fbg Strain Sensors In Wide-Temperature-Range Aerospace Applications, Ruling Zhou, Jiacheng Yu, Yutang Dai, Jianguan Tang, Minghong Yang, Farhan Mumtaz

Electrical and Computer Engineering Faculty Research & Creative Works

Accurate strain measurement in cryogenic fuel pipelines is crucial for ensuring the structural integrity and reliability of rocket engine systems operating under extreme thermal conditions. Fiber Bragg grating (FBG) sensors show significant potential for such applications; however, their inherent temperature-strain cross-sensitivity limits performance over wide temperature ranges. This research presents an enhanced compensation strategy combining multi-parameter optimization with temperature-zone-specific adaptation to improve the accuracy and stability of FBG-based strain sensing in harsh aerospace environments. Four special steel substrate materials including S03, S06, S07, and 1Cr18Ni9Ti, were evaluated using strain transfer theory and thermo-mechanical coupling simulations. Genetic algorithms optimized key design …

Safe Optimal Control Framework For Cooperative Manipulation Of Objects In Human–Robot Teams, Irfan Ganie, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This article introduces a distributed deep neural network (NN)-based adaptive control framework for cooperative object manipulation in human–robot teams with unknown agent dynamics by using three distinct multilayer NN observers (MNNOs). The first observer, termed the reference point estimator, enables each robotic agent to estimate the object's reference center using consensus-based learning, even without direct access to global reference trajectories. The second observer, referred to as the human force-to-trajectory estimator, uses human-applied forces to infer the intended position, velocity, and acceleration of the object, enabling real-time estimation of human intent. Together, these two observers allow distributed estimation of human-intended motion. …

Waveguide-Assisted Single-Mode Fiber Bragg Gratings In A Highly Multimode Coreless Fiber Via Femtosecond Laser Inscription For Extreme Temperature Quasi-Distributed Thermal Sensing, Farhan Mumtaz, Koustav Dey, Bohong Zhang, Jeffrey D. Smith, Ronald J. O'Malley, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

This research reports a potential quasi-distributed thermal mapping optical sensing system for extreme temperatures, leveraging femtosecond (fs) laser inscribed single-mode fiber Bragg gratings (FBGs) and a waveguide within coreless, highly multimode optical fiber, resulting in a single-mode structure. Unlike doped single-mode fibers, coreless fibers composed of silica rods prevent issues associated with dopant migration and ensure data accuracy. The strategic placement of point-by-point FBGs in a cascaded formation on the fs-laser inscribed waveguide facilitates localized multipoint sensing. The long-term stability of the proposed waveguide-assisted FBG system was assessed over 24 hours at elevated temperatures (1000°C), showing no hysteresis during heating …

Self-Calibrating Uav Navigation: Reinforcement Learning Approaches For Horizontal Trajectory Estimation, Shirin Nasr-Esfahani, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

Accurate unmanned aerial vehicle (UAV) trajectory estimation is essential for autonomous navigation, particularly in GPS-denied environments. Visualodometry and simultaneous localization and mapping (SLAM) approaches require precise camera intrinsic parameters, which are typically obtained through predefined or offline calibration. Instead, in this work, we propose a reinforcement learning (RL)-based self-calibration framework that estimates camera intrinsic parameters directly from monocular video sequences, without requiring prior knowledge of the camera, environment, or calibration targets. This intrinsic parameter estimation is then leveraged to achieve robust UAV trajectory estimation using only video data. We formulate the problem as a sequential decision-making task, where an RL …

Performance Analysis And Optimization Of Fructose Memristor-Based Neuromorphic Systems, Harshvardhan Uppaluru, Shakil Mahmud Jiban, Shah Zayed Riam, Feng Zhao, Jinhui Wang

Electrical and Computer Engineering Faculty Research & Creative Works

Natural organic memristors have demonstrated promising synaptic behavior, positioning them as strong candidates for synaptic devices in neuromorphic systems. This paper presents the fabrication and evaluation of a neuromorphic system based on natural organic 16-level and 32-level fructose memristors. First, the manufacturing process of fructose memristors is described in detail. Second, the nonlinear property associated with fructose memristors is investigated, and an optimization method is applied to address the nonlinear effects. The performance of the fructose memristor-based neuromorphic system on MNIST with a multi-layer perceptron and on CIFAR-10 with VGG-8 is evaluated and reported under various conditions -with/without nonlinearity optimization …

Enhancing Measurement Accuracy: The Impact Of Missing Data On Parameter Estimation In Mass-Spring-Damper Systems, Michkath Omanda Bouraima, Steven Thompson, Maciej J. Zawodniok

Electrical and Computer Engineering Faculty Research & Creative Works

In sensor-driven dynamic systems, missing data can severely degrade parameter estimation accuracy. This article investigates the impact of missing data on phase estimation in a mass-spring-damper system using an information-theoretic framework based on the Cramér-Rao Lower Bound (CRLB). Closed-form CRLB expressions are derived for four scenarios: complete data, missing completely at random (MCAR) deletion, MCAR-based imputation, and missing at random (MAR) missingness via a selection-weighted formulation. These bounds are used as theoretical benchmarks to evaluate classical imputation methods (last observation carried forward (LOCF), linear interpolation) and advanced approaches (Kalman filtering, Rauch-Tung-Striebel (RTS) smoothing, Bayesian inference, and transformer-based imputation) through Monte …

Rf-Attennet: A Hybrid Attention-Enhanced Network For Mixed Signal Classification In Uav Swarm Detection, Prajoy Podder, Mohammad Atikur Rahman, Maciej Zawodniok, Sanjay Madria

Electrical and Computer Engineering Faculty Research & Creative Works

The continuous increase of UAVs, particularly in swarms, creates significant challenges for security and airspace regulation. Traditional RF fingerprinting methods struggle to detect and classify UAV swarms due to overlapping signals and interference. This study introduces RF-AttenNet, a hybrid deep learning model designed to classify mixed UAV signals by analyzing composite RF spectrograms. RF-AttenNet uses dual attention mechanisms, channel and spatial attention to focus on critical spectral features, enabling the model to effectively separate and identify overlapping UAV signals. We have developed custom composite UAV datasets that simulate real-world swarm interference, incorporating both single and mixed UAV classes. RF-AttenNet achieves …

Fixed-Time Consensus Tracking For Nonlinear Multi-Agent Systems Under Aperiodically Intermittent Control, Lei Xue, Tong Wu, Wenwen Jia, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

This article explores the problem of fixed-time consensus tracking (FT-CT) for nonlinear multi-agent systems utilizing the a periodically intermittent control (AIC) strategy. In contrast to existing control algorithms, the proposed algorithm utilizes the AIC strategy instead of the conventional continuous-time control strategy, effectively reducing the consumption of communication resources. Moreover, the problem of intermittent FT-CT is well handled by proposing the average control rate of the AIC strategy. Two theorems based on the cases of directed and undirected graphs are proposed, respectively. Finally, the validity of these results is confirmed through numerical simulations on a general nonlinear system and a …

Sapphire Optical Fiber Bragg Grating Sensors Based On Dispersive Microwave-Photonic Frequency-Time Domain Analysis, Ruimin Jie, Chen Zhu, Farhan Mumtaz, Koustav Dey, Bohong Zhang, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

Sapphire fiber Bragg gratings (SFBGs) have attracted growing interest for high temperature sensing in harsh environments, yet their interrogation typically relies on optical spectrum measurements, demanding a high-resolution optical spectrum analyzer (OSA) that is bulky, expensive, and constrained in acquisition speed. Moreover, the inherently multimode nature of sapphire fiber further complicates spectrum-based demodulation, thereby limiting the achievable sensing resolution. In this paper, we propose and experimentally demonstrate a microwave-photonic interrogation approach for SFBG sensors. Instead of measuring the optical reflection spectrum, the complex frequency response in the microwave domain of an SFBG is acquired using a vector network analyzer (VNA) …

Resolving Stiffness Trade-Offs In Simultaneous Pressure And Vibration Sensing Using A Corrugated-Tube Fiber-Optic Sensor, Yizheng Chen, Yan Tang, Jie Huang, Qi Zhang, Biyao Shi, Zewei Wu

Electrical and Computer Engineering Faculty Research & Creative Works

This article proposes and experimentally demonstrates a corrugated-tube-based fiber-optic sensor capable of measuring pressure, vibration, or both simultaneously. To address the limited sensitivity of conventional diaphragm-based designs, the sensor incorporates an optimized corrugated tube that balances the conflicting stiffness requirements for pressure and vibration measurements. The corrugated tube, acting as a mechanical transducer, is integrated with an extrinsic fiber-optic Fabry–Perot interferometer (EFPI). The EFPI cavity is formed between a reflective surface at the sealed end of the corrugated tube and the cleaved end face of an optical fiber fixed within a mounting assembly. In this configuration, displacement of the corrugated …

Nash Equilibrium Strategies For Multicluster Pursuit–Evasion Game With Disturbances: A Prescribed-Time Convergence Approach, Lei Xue, Xian Yu, Yongbao Wu, Jian Liu, Changyin Sun, D. C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

This article investigates the problem of prescribed-time Nash equilibrium (NE) seeking for a multicluster pursuit–evasion game (PEG) subject to external disturbances. To mitigate the impact of disturbances and reach the NE within a user-defined prescribed time, a prescribed-time disturbance observer (PTDO) is devised to estimate and compensate for them. Based on this observation, a novel control algorithm is developed, which facilitates collaboration among multiple pursuers to capture multiple evaders within the prescribed time. It is theoretically demonstrated that the designed algorithm ensures prescribed-time convergence to the NE of the multicluster PEG with disturbances. Finally, numerical simulations are conducted to verify …

Real-Time Multiregional Market-To-Market Congestion Management Through Exchange Of Relief Cost Curve, Haotian Chen, Yonghong Chen, Jose Daniel Lara, Jarrad Wright, Matthew Bossart, Sebastian De Jesus Machado, Rui Bo

Electrical and Computer Engineering Faculty Research & Creative Works

This paper introduces a novel method for multiregional market-to-market (M2M) coordinated congestion management. It identifies shortcomings in existing M2M approaches, where Regional Transmission Organizations (RTOs) exchange shadow prices and relief requests to optimize congestion relief allocations across interconnected regions. Two methods are proposed to enhance flow and price convergence. The first method proposes that both Regional Transmission Organizations (RTOs) use state-estimator flows directly to determine relief requirements, eliminating delays and potential oscillations caused by using market flows calculated from the prior period under existing M2M approach. The second method involves exchanging transmission relief cost curves, enabling each RTOs to integrate …

Transformer-Customer Relationship Identification Based On Load-Switching Fluctuation Characteristics Considering Same-Feeder-Adjacent-Transformer Condition, Yanan Zhang, Gan Zhou, Yuyuan Liu, Wei Gu, Yanjun Feng, Yujue Wang, Rui Bo

Electrical and Computer Engineering Faculty Research & Creative Works

Accurately identifying the connectivity between transformers and downstream three-phase customers in low-voltage distribution networks is challenging, because voltage curves of different phases and nearby nodes can be weakly distinguishable, especially when adjacent transformers on the same feeder serve geographically close customers with highly similar voltage curves. This paper proposes a novel method based on load-switching fluctuation characteristics recorded by smart meters. By extracting localized current and voltage fluctuations and establishing correlation matching, the method overcomes the limited discriminability using steady-state measurements. The method operates in two stages: first, switching-induced fluctuation characteristics are extracted and matched to cluster customers by the …

Lidar-Based Framework For Detecting Suspicious Human Activities, Ahd Aljumah, Charalampos Antoniadis, Hakim Ghazzai, Nawfal Guefrachi, Ahmad Alsharoa, Gianluca Setti

Electrical and Computer Engineering Faculty Research & Creative Works

This study explores the development of Human Activity Recognition (HAR) systems capable of identifying suspicious activities to enhance security in public spaces. We propose an innovative solution that integrates LiDAR sensors with deep learning technologies. Our method employs advanced models operating on LiDAR point cloud, PV-RCNN for human detection, and LidarGait++ for classifying activities into categories such as standing or walking (non-suspicious) and sneaking or fighting (suspicious). Due to the scarcity of suitable real-world datasets for training such systems, we utilize a 3D simulation tool, Blender, to create realistic environments and generate labeled point cloud data. This synthetic dataset allows …

Event-Based Predefined-Time Synchronization For Complex Networks With Deception Attacks: An Asynchronously Intermittent Strategy, Lei Xue, Jiong Yu, Haoyu Zhou, Yongbao Wu, Jian Liu, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

This article studies the practical predefined-time synchronization (PPTS) for complex networks (CNs) under deception attacks based on the asynchronously intermittent event-triggered control (AIE-TC). Notably, AIE-TC effectively integrates the advantages of asynchronously intermittent control (AIC) and event-triggered control, where AIC provides each subsystem node with independent control and rest intervals. Besides, all synchronization errors of the CNs converge to an adjustable neighborhood within the predefined time by designing a bounded time-varying function into the controller. Moreover, this article considers that the transmission network is subjected to stochastic deception attacks modeled by a Markov process, which captures the state-driven dynamic transition characteristics …

From Measuring Clicks To Inclusion: Coverage Of Digital Adolescent Sexual And Reproductive Health Programs, Miriam Temin, Christabel Gero

Adolescents and Young People

Digital platforms have become popular tools to address adolescents’ sexual and reproductive health and rights (ASRHR) in low- and middle-income countries. Digital programming has the potential to bridge the SRHR information gap, especially for adolescents who face SRHR risks. Given what is known about the digital divide, it is essential to understand who digital ASRHR programming reaches, who is excluded, and how coverage aligns with risk. This brief summarizes an exploration that aims to stimulate interest and seed research on issues of coverage of digital programming for adolescents and its public health importance.

Rise, Lead, Thrive: A Young Feminist's Path To Leadership, Population Council Kenya, Nawiri Project

Adolescents and Young People

Information Education and Communication graphic created for the Young Feminist Organizing (YFO) project.

Safety And Effectiveness Of Emicizumab In People With Haemophilia A Enrolled In The Athn 7 Haemophilia Natural History Study., Tyler W. Buckner, Shannon L. Carpenter, Nabil Daoud, Christine L. Kempton, Lucy Lee, Lynn Malec, Thomas W. Mclean, Paul Morton, Carrie O'Neill, Janice M. Staber, Michael Wang, Stacy E. Croteau, Michael Recht

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: The Natural History Study of the Safety, Effectiveness, and Practice of Treatment for People with Haemophilia (ATHN 7) monitors use of contemporary haemophilia therapies, including emicizumab, a bispecific antibody substituting for activated factor (F)VIII in people with haemophilia A (HA).

AIM: To report participant characteristics and real-world safety and effectiveness of emicizumab in ATHN 7.

METHODS: ATHN 7 is a prospective observational cohort study conducted across 26 American Thrombosis and Haemostasis Network (ATHN)-affiliated sites. People with HA receiving emicizumab were eligible for inclusion in this analysis. Clinical information was collected quarterly through participant interview and medical record review. Safety …

Hiv Testing In African American Churches: Results From The Taking It To The Pews Cluster-Randomized Trial., Jannette Berkley-Patton, Carole Bowe Thompson, Alexandria G. Bauer, Marcie Berman, Kelsey Christensen, Andrea Bradley-Ewing, Kathy Goggin, Delwyn Catley, Eric Williams, Cassandra Wainright, Kathryn P. Derose, Alex Geyer, Frank Thompson, Lesha Dennis, Stephen Smith, Jenifer E. Allsworth

Manuscripts, Articles, Book Chapters and Other Papers

To examine effects of a multilevel, religiously-tailored HIV testing intervention, Taking It to the Pews (TIPS), on receipt of HIV testing with African American church-affiliated populations, 14 African American churches (N = 1,491) were randomized to TIPS or a multilevel, non-tailored HIV education attention-control arm in a cluster-randomized trial (Kansas City urban area, 2013 to 2019). Receipt of an HIV test was examined using objective data and participant self-reports (last 12 months), including self-reported exposure to intervention components. Overall, 471 HIV tests were completed; TIPS intervention churches conducted significantly more tests than controls (339 versus 132, p = 0.003). Also, …

Nh 4-H Livestock Quiz Bowl Packet, Unh Cooperative Extension

UNH Cooperative Extension

No abstract provided.