Digital Commons Network^™

Exploring Leadership, Culture, And The Dynamics Of Collective Empathy: A Nonprofit Case Study, David L. Harkins, Deborah A. O'Neil

Management Faculty Publications

This case study explores the formation, embedding, and sustainability of collective empathy at [Healing Arts for Children; HAC], a pseudonym for small arts-focused nonprofit serving pediatric patients. The 20-year-old organization utilizes art and music to alleviate anxiety and enhance positive health care experiences for critically and chronically ill children and their families. While the existing literature primarily focuses on individual-level empathy in the workplace, this study focuses on the underexplored aspects of systemlevel empathy applications, which may be essential to determining how empathy forms, embeds, and sustains within an organization. Collective empathy, the shared capacity of organization members to recognize, …

3d-Printable Hydrogel With Rapid Ambient Self-Healing, Anna M. Petre

Research from the Berry Summer Thesis Institute, 2025

Inspired by nature, soft robots composed of compliant (“soft”) materials are well-suited for uncertain, dynamic tasks requiring safe interaction between a robot and its environment. Soft robots with the ability mend minor damage (e.g. perforations, tears) have been enabled by the rapid development of self-healing soft materials. Recently, one of these hydrogel materials (internally dubbed “BeckOHflex”) – made entirely from commercially available precursors – was developed with several appealing characteristics including rapid ambient self-healing, 3D printability on commercial machines, and competitive mechanical properties. However, the self-healing performance of BeckOHflex falls short of competitors that leverage custom-synthesized precursors. This project aims …

Simulating Chemiluminescence Spectra Of Oh Radical Using Quantum Dynamical Simulations, Triet M. Cao

Research from the Berry Summer Thesis Institute, 2025

Chemiluminescence is a phenomenon of light emission that occurs when molecules transition from an excited state to the ground state. This phenomenon is widely utilized in applications ranging from quantifying product yields in chemical reactions to biological imaging and atmospheric chemistry studies. It has also been used in many crucial applications in the scarce conditions of heat and electricity, such as light sources for astronomy discovery or deep-sea diving. A notable example of such reactions is combustion, where highly reactive hydroxyl radicals (OH) are products. These radicals exhibit a chemiluminescence spectrum because of the interaction between their ground state and …

Co-Culture 3d Model For Breast Cancer, Anh Duc Nguyen

Research from the Berry Summer Thesis Institute, 2025

The ability to replicate the tumor microenvironment using 3D models have allowed researchers to study the tumors in vitro closer to their in vivo counterparts without the drawbacks of those models. The 3D co-culture model is an improved version of the 3D monoculture model, capable of replicating the tumor microenvironment, letting researchers study cancer response mechanism, tumor metastases, drug resistance, simulate cell-cell interactions, etc., in breast cancer. The models can be classified into four classes based on their formation method and content, all of which have different advantages and disadvantages.

Intelligent Motion Tracking: A Low-Cost Surveillance Framework Using Soc Devices And Sensor Fusion, Aung Myat Khaung, Nicholas Michael Stiffler

Research from the Berry Summer Thesis Institute, 2025

This thesis presents the design and implementation of a lightweight surveillance system capable of realtime motion detection, object tracking, and behavioral history reconstruction in controlled environments. The system uses System-on-Chip devices such as Raspberry Pi boards equipped with NOIR cameras, monocular cameras, and break-beam sensors that work together to detect and track single or multiple moving objects like colored balls. The prototype is validated in structured settings with the goal of eventual deployment in more dynamic environments, addressing the challenge of reliably tracking visually similar objects with minimal distinguishing features. The architecture integrates computer vision with sensor fusion by combining …

An Investigation Of Hydro-Morphological Changes At The Estuarine Outlet Of Kitchener Drain, Northern Coast Of Egypt, Nada Mansour, Karim Nassar, Mahmoud El-Gamal, Tharwat Sarhan

Mansoura Engineering Journal

In recent years, sedimentation and coastline erosion have occurred in the Kitchener Drain, where its outflow meets the Mediterranean Sea. Several measures have been taken to mitigate the impact of these problems. Excavation continues toward the drain's outlet, and there have been multiple stages of hard protection work, such as groins along the drain's eastern and western banks. What would happen if the working near the drain was kept, where accretion and erosion are most severe. The Coastal Modelling System (CMS) was used to find it out. The two-dimensional hydrodynamic circulation model known as the CMS is outfitted with modules …

Novel Nano-Composite Materials (Nncms) With The Designations J1, J2, And J3 For Removal Several Harmful Ions, Mohammed K. Al-Doseri, Safaa. R. Fouda, Mohamed Mossad, Mahmoud H. Mahmoud

Mansoura Engineering Journal

The most toxic material to the environment is heavy metals. remove heavy metals from wastewater is done by adsorption. Many papers have been done using different materials to take off toxic dangerous ions from wastewater. Noval Nano-composites material (NNCM)as designated as J1, J2, and J3 the most used adsorbents in this study. To conduct the experiments, synthetic wastewater was generated in the lab. Batch experiments were conducted to create the best conditions for removing these ions from the wastewater. The optimum conditions obtained were 90 min optimum contact time, and pH equal seven, optimal NNCM dose was 0.5 g/L achieving …

Attention In The Age Of Tiktok: Examining The Cognitive Impact Of Short-Form Video Consumption, Samantha Shannon Sutrisno

Master's Theses

With the rapid growth of popularity among short-form video platforms such as TikTok, media consumption has shifted toward fast-paced and highly engaging formats. This trend raises questions about the potential effects of continuous exposure to brief and repetitive audiovisual stimuli on attention. Research on short-form video’s impact on attention is limited, but prior studies suggest it may influence attention in meaningful ways. This study examined the relationship between short-form video consumption and attention among TikTok users (N = 110) by using the Attention Network Task (ANT), which measures the alerting, orienting, and executive control networks of visual attention. Participants were …

Transfer Learning-Based Multi-Sensor Approach For Predicting Keyhole Depth In Laser Welding Of 780dp Steel, Byeong-Jin Kim, Young-Min Kim, Cheolhee Kim

Mechanical and Materials Engineering Faculty Publications and Presentations

Penetration depth is a critical factor determining joint strength in butt welding; however, it is difficult to monitor in keyhole-mode laser welding due to the dynamic nature of the keyhole. Recently, optical coherence tomography (OCT) has been introduced for real-time keyhole depth measurement, though accurate results require meticulous calibration. In this study, deep learning-based models were developed to estimate penetration depth in laser welding of 780 dual-phase (DP) steel. The models utilized coaxial weld pool images and spectrometer signals as inputs, with OCT signals serving as the output reference. Both uni-sensor models (based on coaxial pool images) and multi-sensor models …

Praktik Ethical Hacking Untuk Menjamin Keamanan Sistem Sebagai Upaya Mewujudkan Keamanan Dan Kerahasiaan Data Pribadi: Studi Komparasi Pengaturan Indonesia Dan Kanada, Amaraduhita Laksmi Prabhaswari, Henny Marlyna, Ayu Galuh Anggraini

Technology and Economics Law Journal

In the digital era that is increasingly integrated with electronic systems and technology, issues related to the security and confidentiality of personal data have become a crucial issue, especially in the midst of the increasing number of cyber attacks. The urgency of this protection is increasingly urgent along with the complex use of technology by PSE, both public and private. The practice of ethical hacking by contract based or policy-based emerged as a proactive effort in identifying and addressing security gaps in a system. Although in Canada this practice has been recognized as part of national security policy (RVDP), Indonesia …

Family Healthy Weight Program: Smart Movestm Pilot Project Evaluation Report, Camille Velarde, Theresa H. Cruz Dr., Elena Martinez

Reports & Documents

The Smart Moves™ Family Healthy Weight Program is an evidence-based, family-centered intervention designed to address childhood overweight and obesity through nutrition education, physical activity, social-emotional learning, and caregiver engagement. In spring 2025, Presbyterian Community Health piloted Smart Moves™ in a South Valley community health clinic as part of the Healthy Here initiative, with evaluation conducted by the University of New Mexico Prevention Research Center.

The pilot, adapted from a 12-lesson curriculum to 8 core lessons plus orientation and celebration, included bilingual instruction, cooking in a teaching kitchen, and family-based incentives. Evaluation methods combined quantitative and qualitative data, including pre/post BMI …

Analog To Digital Converters Topologies For Radar System Application: A Comparison, Kulsoom Mateen, Wafa Alharbi, Aziza I. Hussein

Effat Undergraduate Research Journal

Analog-to-digital converters (ADCs) that convert analog signals into digital ones play a significant role in radar systems. The accuracy and resolution of radar readings are significantly influenced by the quality and performance of ADCs. This paper discusses and compares the application of five different types of ADCs in radar systems. It also elaborates on each ADC's working principle, advantages, and limitations. The parameters compared are resolution and dynamic range, signal-to-noise ratio (SNR), latency and sampling rate, power consumption, size, and cost. After thorough research, we concluded that each ADC differs depending on the designer’s desired application. For example, flash ADCs …

Performance Analysis Of Computational Methods For Predicting Protein Function In Rare Diseases, Aichetou Mohamed Sidiya, Hanin Alzaher, Razan Almahdi, Tayeb Brahimi

Effat Undergraduate Research Journal

Protein function prediction is crucial for understanding the underlying mechanisms of rare diseases. With the increasing availability of computational methods including machine learning-based approaches, network-based methods, and sequence-based methods, predicting protein functions has become more accessible. However, it is not clear which of these methods performs better or how they compare to each other in terms of accuracy, efficiency, and scalability. In this study, we evaluate several computational methods for predicting protein functions in rare diseases using key performance indicators (KPIs). We analyze the strengths and weaknesses of each method and provide recommendations for researchers and clinicians interested in using …

Sar Analog-To-Digital Converters For Point-Of-Care Biosensors: A Comparison, Eithar Alammari, Joud Alamro, Sara Alashwali, Ghadah S. Alyami, Aziza I. Hussein

Effat Undergraduate Research Journal

The SAR ADC, recognized for its low power consumption, moderate resolution, and satisfactory processing speed, stands as an ideal choice for ultra-low power biomedical applications. Recent efforts have been concentrated on enhancing the power efficiency of the SAR ADC sub-components through intricate refinements and innovative techniques. These efforts aim to minimize energy consumption without compromising the ADC's performance. Therefore, this paper aims to thoroughly examine various implementation approaches for the main components of the SAR ADC, highlighting their individual strengths, weaknesses, and limitations within wireless biomedical applications.

The Effectiveness Of Data Visualization Techniques For Communicating Insights: A Cross-Domain Analysis, Wejdan O. Alshateri, Reem Alsharabi, Passent M. Elkafrawy Prof

Effat Undergraduate Research Journal

No abstract provided.

Electrical Energy Consumption Forecasting Based On Conventional And Artificial Intelligence Methods: A Comparison, Haya H. Binsalim, Jana Kamal, Salma Badaam, Danah Milyani, Ghadah S. Alyami, Aziza I. Hussein

Effat Undergraduate Research Journal

Artificial Intelligence (AI)-based models have been widely applied for energy consumption forecasting over the past decades. The purpose of this paper is to review and compare the classical techniques and the emerging new AI-based techniques used for forecasting electrical energy consumption in buildings. The findings revealed that the Artificial Neural Network (ANN) model achieved the lowest Mean Absolute Percentage Error (MAPE) of 0.928%. AI-based techniques have many advantages over classical techniques, such as their ability to handle a large amount of data and provide accurate and fast results.

Intelligent System Designs For Hvac Energy Reduction In Buildings: Ai-Based Forecasting And Hybrid Active/Passive Approaches, Leena N. Alam, Rim M. Obaid, Thoraya Musa, Wegdan O. Alshateri, Passent M. Elkafrawy Prof

Effat Undergraduate Research Journal

The majority of building energy utilization worldwide is related to HVAC (Heating, Ventilation, and Air-Conditioning) systems. Eighty percent of the energy produced in Saudi Arabia is used by buildings, and since 70\% of that energy is used for ventilation, air conditioning accounts for roughly 50\% of the nation’s electrical use. This study reviewed and compared much research that used various AI-based forecasting algorithms. Specifically, the study explored the potential of passive and active cooling methods and intelligent system designs and used this analysis to develop a hybrid model that combined AI-based forecasting with active/passive approaches for optimal energy savings. The …

Mapping The Research Landscape Of Covid-19 And Artificial Intelligence Using The Lens Database, Aichetou Mohamed Sidiya, Jailan Fouad Aljizawi

Effat Undergraduate Research Journal

Due to the rapid spread of the COVID-19 pandemic, all countries faced a significant challenge in their efforts to monitor and halt the spread of the virus. Moreover, researchers around the world raced into publishing to get to understand the effects of this pandemic on every aspect of our life whether that was economic, medical, or social. Thus, this research seeks to assess the quality of research on the application of Artificial Intelligence in the Covid-19 pandemic with an emphasis on Saudi Arabia. The research methodology is based on Bibliometric Analysis techniques and VosViewer for various bibliometric visualizations based on …

Investigating Cultural Issues Encountered In The Audiovisual Translation Of Qomrah Show, Lujain Alumari, Ahmad Khuddro Dr

Effat Undergraduate Research Journal

This study analyzed the issues of translation and subtitles of four episodes of the TV show Qomrah. This TV show is produced by ARAM Production House, hosted by Mr. Ahmad Al Shugairi and was aired on MBC channel during the month of Ramadan in 2016\1437 H. It is a competition show that encourages members of the Arabic society to produce and create a purposeful, positive and influential content that discusses their social, cultural and religious issues within their societies. This study aims to prove that the translator is the mediation between different languages, cultures and religions. It also aims to …

The Relationship Between Self-Talk And Self Esteem Amongst University Students, Weam Batarfi, Saddiga Al-Ghalib

Effat Undergraduate Research Journal

The theory of self-talk is important to human nature and has the capacity to enhance person's life. In addition, self-esteem plays a major role in mankind life, either in a positive or a negative way. This work was done to analyze the relationship between self-talk and self-esteem among university students. This work was carried out based on quantitative method. For this work, the sample population was university students and the sample size used was 100 students. Data collection was done using survey method. Furthermore, the scales that were used are the Self-Talk Scale development, Factor Analysis, and Validation and self-esteem …

Analysis Of Linguistic Issues In Audiovisual Translation - Subtitling, Marwah Abdullah Hilabi, Ahmad Khuddro Dr

Effat Undergraduate Research Journal

Audiovisual Translation (AVT) is a term used for the translation which appears on screen. This product can be written in the form of subtitles, or spoken as in dubbing and it could be also done as a voiceover. This study discusses the AVT with subtitling as an example. Due to the massive growth of media, the need for professional translators and good translation is high. This study used an animated TV series called Fruits Basket as the main example of subtitling. This TV show is an English dubbed version of the Japanese series consisting of 26 episodes. Therefore, the first …

Wideband Spectrum Sensing For Cognitive Radio Using Under-Sampled Successive Approximation Adc, Aziza I. Hussein

Effat Undergraduate Research Journal

The radio spectrum, an inherently limited resource, has been increasingly utilized owing to the recent exponential growth of wireless services. This has led to a new approach, termed cognitive radio, predicated upon exploitation of spectrum holes for omnipresent spectrum utilization. This is made possible via cognitive radio networks’ employment of spectrum sensing. Wideband spectrum sensing has been the focal challenge point in cognitive radio technology, since existing techniques are reliant on analog to digital converters (ADC) with sampling at the Nyquist rate. Unfortunately, in order to perform digitization of wideband RF signals at the Nyquist rate, a very high sampling …

Intelligent Energy Management Mechanisms For Electric Vehicles: A Review, Aziza I. Hussein

Effat Undergraduate Research Journal

This paper investigates intelligent methods used for energy management (EM) in Electric Vehicles (EV). The key role of EM in EVs to increase the performance of the vehicle and reduce Fuel Consumption (FC) thus producing less greenhouse effect. However, the used tactics had limitations. An introduced model of Intelligent Energy Management System (IEMS) for Plug-in hybrid electric vehicles (PHEVs) was efficient for FC reduction. Whereas for IEMS Based on Kalman Filtering showed a low percentage of error. While EM using Tags Threshold Admission And Greedy Scheduling improves EV’s performance, but it can only manage energy per one EV. Another model …

Electrical Energy Consumption Forecasting Analysis Based On Conventional And Artificial Intelligence Methods: A Comparison, Aziza I. Hussein

Effat Undergraduate Research Journal

Artificial intelligence (AI)-based models have been widely applied for energy consumption forecasting over the past decades. The purpose of this paper is to review the classical techniques and the emerging new techniques based on AI of the building electrical energy consumption forecasting. The advantages of AI-based techniques over the classical are that AI methods can handle a large amount of data yet gives accurate results, the results can be found very quickly, in addition to AI having the ability to solve complex nonlinear patterns of raw data. This paper will discuss several studies using different models of forecasting based on …

Observatorycenter, Rim Thabit

Effat Undergraduate Research Journal

Humans havereliedonastronomyforanumberofthings, suchasdeterminingthedirectionsandseasonsoftheyear.InSaudi Arabia, astronomyisanessentialsciencebecauseitisgenerallyused in theirculturetodetermineRamadan,theperiodoffastingandthe celebration ofEid.Inaddition,SaudiArabiahassetvision2030and intendstobesuccessfulnationinthefieldofastronomy.Thus,inorder to achievethevision,thisworkproposesthedevelopmentofanobser- vatorycenteratSaudiArabia.Inthiswork,twocasestudiesrelatedto observatorycenterhavebeenanalysed.Basedonthecasestudies,the proposedobservatorycenterwillhaveanestimatednetareaof7,090m2. The observatorycenteriscomprisedoffewzones,suchasexhibition, planetarium, administration,learningcenterandservice.Thiscenteris proposedtobedevelopatAl-Samer,Jeddah.Thedevelopmentofthe ObservatoryCenterisexpectedtospreadawarenessofAstronomyand its importanceamongthecommunityofSaudiArabia.Inaddition,it will createafoundationforthesocietyinthefieldofastronomy.

Islamic Cultural Center, Omiema H.Alnami

Effat Undergraduate Research Journal

Saudi Arabia is a popular destination for the Islamic community around the globe due to its holy city of Makkah. In addition, Saudi Arabia is nation, which is rich with Islamic cultural values, and it requires a proper medium for it to be preserved for the upcoming generations. Thus, this work presents a proposal on developing an Islamic cultural centre at Makkah, Saudi Arabia. In relation to this interest, this study has examined 3 cases studies with regards to Islamic cultural centre . Based on the evaluated case studies, the estimated net area for the Islamic cultural centre is 13061 …

Kinetic Energy Harvesting From Human Footsteps: Review And Case Study, Mady Mohamed

Effat Undergraduate Research Journal

Kinetic energy generated from motion. Such energy is observable as the movement of an object. The heavier the object is, the faster it moves, and more kinetic energy it has. In this recent era where design and science integration are vital in architecture and energy and energy, both scientists and designers strive to push their respective fields towards achieving a more efficient built environment. Utilizing motion into the architecture to conserve energy for environmental and economic benefits is one of the recent challenges in the renewable energy (RE) field. This paper aims at comprehensively exploring the literature about the recent …

The Effects Of Exercise Training In A Novel Full-Body Compression Garment On Anaerobic Performance In Healthy Men, Benjamin W. Cunningham, Mikayla M. Reese, Jesse M. Jansen, Benjamin S. Minier, Curtis A. Cornell, Faith C. Benedict, Joshua T. Mayne, Justin A. O'Dell, Gabriel M. Lysak, James R. Sackett

International Journal of Exercise Science

International Journal of Exercise Science 18(8): 836-851, 2025. Although acutely donning compression garments improves several markers of athletic performance, the effects of training in compression garments remains largely unexplored. Thus, this study aimed to determine the effects of exercise training while donning a novel full-body compression garment on multiple measures of anaerobic performance. Sixteen sedentary males (age: 21±3 y; BMI: 25±3 kg/m²) completed 4 weeks of training with (CG; n=8) or without (CON; n=8) a novel full-body compression garment. Subjects performed a 40m sprint (time and velocity), a 5-repetition maximum barbell back squat (barbell weight and serratus anterior …

Change In Free-Living Daily Steps Does Not Affect Vo2max Adaptation In Response To A Supervised Aerobic Walking Program In Females Ages 18-45, Catherine L. Jarrett, Brandon J. Sawyer, Wesley Tucker, Dharini M. Bhammar, Justin R. Ryder, Siddhartha Angadi, Glenn A. Gaesser

International Journal of Exercise Science

International Journal of Exercise Science 18(5): 852-863, 2025. We hypothesized that an increase in nonexercise physical activity (NEPA), assessed by daily steps outside of steps accrued during supervised exercise training sessions, would be positively correlated with the change in VO_2max. Females ages 18-45 yr (n = 44; 30 ± 7 yr; 67.7 ± 18.3 kg; 24.9 ± 6.4 kg/m²) completed 36 supervised training sessions on a motorized treadmill (3 sessions/week, 30 min/session) over 12 weeks, at 70% VO_2max (80% max heart rate). VO_2max was assessed at baseline, 4, 8, and 12 weeks, and …

Potential Pitfalls In Visual Models Of Tipping Points - And How To Fix Them, Jonathan Dechert, Svetlana Gurevich, Stefan Heusler

Northeast Journal of Complex Systems (NEJCS)

Visual models play a crucial role in both science and science communication. However, the distinction between mere analogies and mathematically sound graphical representations is not easy and can be misunderstood not only by laypeople but also within academic literature itself. Moreover, even when the graphical representation exactly corresponds to the mathematical model, its interpretation is often far from obvious. In this paper we discuss the potential landscape visualization commonly used for tipping points in the context of nonlinear dynamics and reveal potential pitfalls, in particular when distinguishing bifurcation induced tipping (B-tipping) from noise-induced tipping (N-tipping).

We propose new visualization techniques …