Digital Commons Network^™

Global Sounds, Department Of Music, University Of Richmond

Music Department Concert Programs

No abstract provided.

The Effect Of Low And High-Carbohydrate Diets On Memory Performance In College Students, Samia Baugh, Zoe Zajko, Jamie Analuisa, Ivanna Jacome

Department of Nutrition Student Projects

Carbohydrates are the primary source of energy for the brain and play an important role in processes related to memory performance. The purpose of this study is to examine the impact of a low-carbohydrate diet compared to a high-carbohydrate diet on memory performance in college students aged 18–22 years. For the purposes of this study, a low-carbohydrate diet is defined as a diet providing fewer than 130 grams of carbohydrates per day, while a high-carbohydrate diet provides approximately 325 grams of carbohydrates. This population is particularly important to study because college students experience high academic demands that require strong memory …

Bba 313 - Foundations Of Entrepreneurship, Andrew Gold

Open Educational Resources

This syllabus presents BBA 313: Foundations of Entrepreneurship, a three-credit undergraduate course offered at Lehman College, City University of New York, within the Department of Management and Business Innovation. Designed for students interested in entrepreneurship, the course introduces foundational frameworks of entrepreneurship including opportunity recognition, entrepreneurial identity, resource mobilization, financial management, and business feasibility planning. The course is structured as an Open Educational Resource (OER), utilizing the zero-cost OpenStax Entrepreneurship textbook (Laverty & Little, 2020, CC BY 4.0) and multi-format learning materials including written readings, audio podcasts, and experiential in-class activities. The syllabus reflects an applied, community-grounded pedagogy culminating in …

Physical Space And Democratic Citizenship: Third Place Usage And Civic Engagement Among Undergraduates, Justin L. Fintel

Honors Program: Senior Projects (Public)

This thesis examines the relationship between third place usage and civic engagement levels among undergraduate students at the University of Nebraska-Lincoln. Drawing on urban planning and political science literature, I hypothesize that students who more frequently use and interact with campus third places—which are informal communal spaces that foster community, such as coffee shops, libraries, and student unions—demonstrate higher levels of civic engagement. Using survey data from thirty-eight undergraduates and ordinary least squares regression analysis, I find strong support for my hypothesis. Third place usage significantly predicts civic engagement (β = 0.609, p < 0.001) statistically, and this relationship remains robust even after controlling for family socialization and socioeconomic status. The findings suggest that physical spaces on college campuses play an independent role in promoting democratic citizenship beyond students' pre-existing characteristics. These results have important implications for university and urban planning, while highlighting the value of investing in communal campus spaces as mechanisms for promoting civic participation.

On The Spot: What Is The Best And The Worst Movie You've Ever Seen?, Tess Kujawa

Digital Edition

No abstract provided.

The Blue Flame Offers Entertainment Spot For Unh Students Despite Age Policy Change, Sarah Moran

Digital Edition

No abstract provided.

“Coffee With Carleigh” At Freedom Cafe: Congressional Candidate To Connect With Unh Students, April 12, Delaney Nickerson

Digital Edition

No abstract provided.

Reliability Analysis For Deep Learning Secured Wireless Sensor Networks, Abeer Hussein Abdulrasool, Ekhlas Kadhum Hamza, Ahmed Mudheher Hasan

Iraqi Journal of Computers, Communications, Control and Systems Engineering

With the advancement of software, wireless sensor networks (WSNs) face many problems and challenges, such as loss or limitation of node power resources, as well as intrusions and other cyberattacks. This study aims to improve the reliability of WSNs to mitigate the impact of cyber-attacks by applying effective detection and prevention techniques to ensure their continuous operation, as well as to maintain the security, privacy, and integrity of information. Several efficient approaches and smart techniques have been presented in literature to enhance the reliability and security of WSNs against various cyber-attacks. Recent studies focused on the deep learning (DL) algorithms …

Design And Implementation Of An Ofopid Controller For Iraqi Two Areas Power System Using Ant-Colony Optimization Algorithm, Mazin N. Ajaweed, Abbas H. Issa, Mazin T. Muhssin

Iraqi Journal of Computers, Communications, Control and Systems Engineering

This study introduces a multi-zone of the Iraqi system model powered by various energy sources, where decentralized controllers operate independently to manage the system's frequency. The system model comprises two zones: the first zone represents the north and central power plants of Iraq. The second zone incorporates the Euphrates and southern power plants of Iraq. The data of the system is obtained from the Iraqi Ministry of Electricity. To evaluate the system's performance, a load disturbance is applied to the system. The study examines various control methodologies, first with an Optimised Proportional-Integral-Derivative (OPID) controller as the baseline, subsequently progressing to …

Improving The Tracking Performance Of Par-4 Robot Using Nature-Inspired Optimization Algorithms To Tune The Pid Controller, Shaymaa M. Mahdi, Ahmed I. Abdulkareem, Amjad J. Humaidi

Iraqi Journal of Computers, Communications, Control and Systems Engineering

The Par-4 Delta parallel robot is a powerful candidate in most pick-and-place applications that require high speed, high acceleration, and high precision. Improving the tracking accuracy of parallel robots primarily relies on control design, which is essential for achieving enhanced performance and precision. The PID controller includes proportional, integral, and derivative values. On the other hand, the process of optimum tuning for a PID controller is complex and time-consuming until optimization approaches are employed. The Particle Swarm Optimization (PSO), Flower Pollination Algorithm (FPA), and Whale Optimization Algorithm (WOA) algorithms are the three Nature-Inspired Optimization algorithms proposed in this research for …

Regulation Of Gene Expression By Small Upstream Open Reading Frames In Escherichia Coli, Andrea R. Vansledright

Honors Capstone Projects and Theses

No abstract provided.

Donor Plans Ahead For Generational Impact, Bill Dabney

University of Mississippi News

OXFORD, Miss. – Doug MacEachern, of Covington, Louisiana, has committed to including the University of Mississippi in his estate plans with a major gift to benefit full-time students in the School of Pharmacy.

Implementation Of An Occupational Therapy-Led, Sensory-Based Intervention In A Secure Children’S Home: A Qualitative Study Of Staff Experiences, Kevin Steede, Alison Warren

School of Health Professions

The Just Right State program (JRSP) is an occupational therapy-based, sensory intervention designed to support self-regulation. Qualitative methodology was used to explore the experiences of five members of staff working in a secure children’s home in training in and implementing the JRSP under the guidance of occupational therapy staff. Using thematic analysis four themes emerged: Sensory regulation training enhanced staff wellbeing, Sensory regulation as a new lens in a unique environment, Embedding theory in practice, and Considerations for the experiential JRSP training. The findings provide insights into effective training and implementation of sensory modulation interventions.

Enhancement Dijkstra Algorithm Approach For Path Planning Navigation, Ali Alyasin, Eyad I. Abbas, Jabbar K. Mohammed

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Mobile robots are developing rapidly compared for modern information technology and are used in many fields, such as medicine, industry, military services, and all public services. However, the challenges facing these technologies are significant, including positioning, environmental awareness, path planning, and motion control. Greedy algorithm, Dijkstra algorithm is used for make the path planning better process for ensure increased navigation efficiency. The algorithm uses graphs to find the shortest path between two nodes in a weighted graph by repeating the process. calculating how far things have gone. The initial process of calculating the shortest path speeds up the proposed algorithm's …

Intelligent Mobile Application For Alzheimer's Detection And Patient's Life Management, Dilena Majid Bajalan, Muayad Sadik Croock

Iraqi Journal of Computers, Communications, Control and Systems Engineering

The defining feature of Alzheimer's disease (AD) is a gradual decline in symptoms over several years. This decline reduces the effectiveness of daily routines and leads to memory loss. Among the challenges posed by memory loss are difficulties in remembering names, faces, locations, and other important details. This study introduces an intelligent mobile application designed to assist in managing a patient's daily life, with an emphasis on routine activities and monitoring episodes of memory loss. Additionally, the application aims to detect Alzheimer's disease (AD) using a proposed deep learning model. The suggested Convolutional Neural Network (CNN) deep learning model is …

Experimental Comparison Of Apf-Irrt*-Hs And Apf-Irrt*-Sb Path Planning Algorithms Using Robotic Manipulators, Mohammed T. Hameed, Ahmed R. Naser, Firas A. Raheem

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Path planning is a fundamental task in robotic systems, especially for manipulators operating in constrained environments. The use of low-discrepancy sequence techniques in traditional planning algorithms can significantly improve performance, particularly in terms of speed of convergence and optimal path. In this work, we utilize the popular quasi-random sequence methods, the Halton and Sobol sequences, to explore their impact on the Rapidly Exploring Random Tree (RRT) algorithm. The APF-RT*-HS and the APF-RT*-SB are path-planning algorithms that are experimentally compared in this paper in terms of path length and the number of iterations, which are essential factors affecting robot energy efficiency …

Design And Numerical Analysis Of A High-Quality Factor Plasmonic 1 × 3 Demultiplexer Based On Mim Waveguides, Karrar A. Kzar, Ahmed Ghanim Wadday, Sinan M. Abdulsatar

Iraqi Journal of Computers, Communications, Control and Systems Engineering

This study aims to design plasmonic filters as essential components in photonic integrated circuits,based on surface plasmon polaritons (SPPs).Surface plasmon polaritons (SPPs) are electromagnetic waves that are transmitted at metal-insulator boundaries.Optical apparatuses founded on SPPs have been widely planned too deliberate because of their outstanding possessions, like beat the diffraction limit and treatment light at subwavelength range and at high speed in minor constructions. Design and analyzing a compact 1 × 3 optical demultiplexer in a plasmonic nano structure be also designed utilize the finite element method (FEM), and the suggested structure was arithmetically simulated utilize COMSOL Multiphysics 5.6 software. …

A Lightweight Cnn Baseline For Offline Handwritten Digit Recognition On Mnist: Design And Evaluation, Raid Ismael Mohammed

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Handwritten digit recognition is a classic computer vision task, often used as a benchmark for image classification models. This paper presents a lightweight convolutional neural network (CNN) baseline for offline handwritten digit recognition using the MNIST dataset. The proposed CNN has a simple architecture (two convolutional layers with max-pooling, followed by a flattening and two fully connected layers) and is designed to be computationally efficient while achieving high accuracy. We train the model with standard settings (Adam optimizer, batch size 128, ∼10 epochs) and obtain ∼98–99% recognition accuracy on MNIST. We provide a detailed evaluation including training curves and a …

Path Planning For Robotic Systems In Dynamic Environments: Using Rrt*, Rrt-D* Lite, And Bi-Rrt*-D* Lite, Hameed Salman Hameed, Omar Farouq Lutfy, Firas A. Raheem

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Path planning is one of the essential challenges in the area of robotic systems. In recent years, Rapidly-exploring Random Tree star (RRT*) has been a preferred path planner for robots due to its probabilistic completeness. This paper explores using three path planning algorithms for a mass point robotic system navigating dynamic environments with RRT*, Bidirectional Rapidly-exploring Random Tree (Bi-RRT*), and a novel hybrid approach (Bi-RRT*-D Lite*). The study shows the performance of these algorithms in terms of the path length, the path generating time, the number of search attempts, and the percentage error. In addition, it compares the Bi-RRT* and …

Secret Key Generation From Real-Time Audio In Communication Apps, Rasha M. Mohsin

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Social media platforms security growing challenge of Security vulerabilities, underscoring for secure communication channels and robust user privacy safeguards. Althought key exchange protocol of the Diffie-Hellman (DH) widely adopted, remains various attacks of susceptible asnumber_theoretic exploits, Discrete Logarithm Attacks (DLAs) and Man_in_the_Middle Attacks (MITMAs). This study aim to generate cryptographic key depend on WAV audio files. By operating the entropy and distinctiveness of speech and ambient sound. Audio features has extracting by system to generat secure keys compatible with the DH protocol. The facilitate of these keys is strong encryption and decryption processes, thereby that enhancing the security of communication. …

Design Of An Adaptive Sliding Mode For Satellite Attitude Control Based On Barrier Function, Osamah A. Aldoori, Mohammed Y. Hassan, Abbas H. Issa

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Sliding mode control (SMC) has demonstrated significant success in controlling nonlinear systems, particularly those subject to disturbances and uncertainties. However, due to the negative effect of the Chattering phenomenon, it has become necessary to employ an Adaptive Sliding Mode Controller (ASMC) capable of handling time-varying disturbances. This work presents a two-phase Barrier Function (BF) based Adaptive Sliding Mode Controller (BFASMC). This controller is designed to achieve robust stability and performance of nonlinear systems without prior knowledge of disturbance bounds, and applied to satellite Attitude control. The first phase is a constant gain adaptation to ensure rapid convergence, while, the second …

Federated Learning With Deep Learning: A Comprehensive Survey, Sarah H. Mnkash, Faiz A. Alawy, Israa T. Ali

Iraqi Journal of Computers, Communications, Control and Systems Engineering

Federated Learning (FL) introduces a decentralized machine learning paradigm where model training occurs directly on user devices, ensuring data privacy by keeping sensitive information local. This approach ensures data privacy and security by keeping all sensitive or personally identifiable information local to the device, thereby eliminating the need to transfer or centralize raw data. In this survey, we examine federated deep learning — its challenges, recent developments, application domains, privacy preservation strategies, and future trends. We will give some primitive reference papers of the heterogeneity of statistics and systems, communication cost, fairness, and trust. Applications in health, Internet of Things …

Morphology, Phylogeny And Distribution Of Scaeurgus (Cephalopoda: Octopoda) In Southeast Pacific Seamounts, Sergio A. Carrasco, Christian M. Ibáñez, Andrea I. Varela, Jan M. Tapia-Guerra, Erin E. Easton, Javier Sellanes

School of Earth, Environmental, & Marine Sciences Faculty Publications

Octopuses of the genus Scaeurgus inhabit upper bathyal benthic habitats and are composed of five recognized species. In this study, we conducted morphological and molecular phylogenetic analyses of two individuals of Scaeurgus and provided additional field observations of the genus in seamounts of the Nazca and Salas y Gómez ridges (southeast Pacific Ocean) over the last six years. Specifically, two specimens of Scaeurgus were collected at 234 m depth in 2019 during the EPIC oceanographic cruise onboard the R/V Mirai (JAMSTEC, Japan), and five other specimens were video recorded at depths between 210 and 340 m during three oceanographic expeditions …

Social Media’S Impact On Body Image Perception, Rachel Murino

Honors Theses

This study aims to analyze the relationship between social media use and body image perception, specifically focusing on universal and culturally unique factors. Survey data was collected from participants ages 18-47. By analyzing ethnic differences, this study seeks to identify how culture can shape beauty standards and if social media use and pressure play a role in reinforcing these ideals. The findings were expected to reveal a relationship between perceived social media pressure and negative body image perception, along with cultural trends. Results indicated a significant relationship between social media pressure and body image perception, along with a significant interaction …

Untangling Impacts Of Socioeconomic Position, Chronic Disease, And Low-Level Pm2.5 Exposure On Mortality Among Native American Medicare Beneficiaries, Judy Wendt Hess, Wenyaw Chan

Faculty, Staff and Student Publications

Ambient fine particulate matter (PM2.5) is associated with increased mortality at concentrations below current regulatory standards. Studies of low-level exposure often rely on large administrative cohorts whose geographic and demographic composition may influence observed associations. In a prior analysis, we observed an association between long-term PM2.5 and all-cause mortality among Native American Medicare beneficiaries living in zip codes within the lowest decile of PM2.5 exposure. The present study, a case-control analysis of 1,713,399 low-PM2.5-exposed beneficiaries enrolled in traditional Medicare during 2015-2016, evaluated whether this association could be explained by geographic context, socioeconomic position (SEP), or baseline health status. We used …

Performance Analysis Of A Converted Electric Underbone Motorcycle: A Combined Dynamometer And Road Test Approach, Dhimas Oki Permata Aji, Sigit Suwarto, Yunus Ari Rokhim

Journal of Mechanical Engineering Science and Technology (JMEST)

In developing countries, converting traditional underbone motorcycles to electric vehicles transforms sustainable transportation from a theoretical concept to a practical implementation. This paper describes the design and operational performance evaluation of an electric underbone motorcycle conversion system that integrates a 2.0 kW, 72 V BLDC motor and a 72 V, 20 Ah lithium-ion battery pack. Compared to previous studies, this paper combines, for the first time, both dynamometer and road tests as the basis for a comprehensive performance assessment of low-cost motorcycle conversion. The dynamometer test was conducted under laboratory conditions to evaluate the test system for torque, power output, …

Narcan Stories: Community Experiences Reversing Overdose In A Time Of Expanding Naloxone Access, Katherine Taylor Do, Nyann Biery Dhsc, Abby S. Letcher Md

Department of Family Medicine

No abstract provided.

Snail Snacks: Introduced Seaweeds Facilitate Performance Of An Introduced Marine Snail, Alysha B. Putnam, Adeline Dwyer, Paulette Peckol

Biological Sciences: Faculty Publications

Facilitative interactions among introduced species can accelerate invasion and community change, yet positive interactions are often overlooked compared to competition and predation. In marine systems, positive facilitation is more commonly demonstrated indirectly through habitat modification, with fewer studies examining direct performance impacts. While introduced herbivores in non-marine systems consume and even prefer introduced food sources, this pattern is less studied in marine environments. In this study, we tested grazing preferences and growth responses of the introduced periwinkle Littorina littorea and the native Littorina obtusata, when fed native and introduced seaweeds from southern New England. L. littorea grazed broadly across …

Predicting Soil Organic Carbon In Lower Depths From Surface Soil Features Using Machine Learning Methods, Lawrence Aula, Milena Maria Tomaz De Oliveira, Amanda C. Easterly, Cody F. Creech

Plants, Soils, and Climate Faculty Publications

Topsoil features within a depth of 0–10 cm are vital for making soil management decisions that affect crop production. However, the use of these soil features to predict soil organic carbon (SOC) at 10–20 cm requires further investigation. The study aims to predict SOC at 10–20 cm using total nitrogen (total N), pH, cation exchange capacity (CEC), and SOC at 0–10 cm and select a suitable model for predicting SOC. This study was conducted using data from a long-term tillage, winter wheat (Triticum aestivum L.)-fallow experiment established in autumn 1970. Treatments included moldboard plow, stubble mulch, no-till, and native …

Senior Recital: Carson Mullins, Oboe; April 4, 2026, Carson Mullins, Lu Witzig

School of Music Programs

This is the one hundred and thirty-eighth program of the 2025-2026 season.

Kemp Recital Hall

April 4, 2026

Saturday Afternoon

12:30 p.m.