Digital Commons Network^™

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 …

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 …

Can Correction Messages Reduce The Spread Of Fake News On Social Media? The Impact Of Information Updates On The Effectiveness Of Corrections, Kelvin K. King, Diego Escobari

School of Economics and Finance Faculty Publications

Although government agencies and fact-checking organizations issue correction messages to mitigate misinformation dissemination on social media, their efforts have been largely ineffective. Drawing on Information Manipulation Theory (IMT) and information extracted from over 84 million tweets, we examine the impact of correction messages and explore how different information updates affect their effectiveness. Our empirical approach differentiates between subpopulations of correction messages. The results support the existence of two distinct types: correction messages that significantly mitigate the spread of fake news—a 1 percent increase in “effective” messages decreases the spread of fake news by 0.89 percent; and those that amplify the …

Exploring Arabic Large Language Models: A Comprehensive Review, Lamar Aljahdali, Joud Kaki

Effat Undergraduate Research Journal

This paper presents a comprehensive review of Arabic large language models (LLMs), exploring their capabilities, limitations, and potential impact on the Arabic NLP landscape. We analyze the performance of prominent LLMs, including JAIS, AraBERT, and BLOOM, highlighting their strengths and weaknesses on various NLP tasks. The review delves into critical challenges faced by Arabic LLMs, such as domain adaptation, cross-lingual capabilities, and ethical considerations. Additionally, the paper emphasizes the importance of responsible development and deployment practices for LLMs, ensuring fairness, transparency, and cultural sensitivity.

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 …

Satellite Internet Technology: Connect The Unconnected, Nora Turki Alamoudi Ms., Aziza I.Hussien Proffessor

Effat Undergraduate Research Journal

Satellite Internet is the internet provided through a network of communication satellite constellations in space. This type of internet can cover an area of a wider range than the commonly used cable internet. The development of small-sized satellite technology in the commercial space sector has entered a vigorous phase of development. However, approximately four billion individuals worldwide lack internet access. Most of these citizens live in developing countries. It is in this context that the industry of satellite internet is expanding its social and economic development through connectivity. The implementation of the idea requires examining the advantages provided by satellite …

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.

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 …

Continuous Versus Discrete-Time Sigma-Delta Analog To Digital Converters For Biomedical Applications: A Comparison, Haya H. Binsalim, Batool Alaidroos, Basma Shigdar, Salma Badaam, Aziza I. Hussein

Effat Undergraduate Research Journal

Continuous-time (CT) and discrete-time (DT) sigma-delta (ΔΣ) converters are two commonly used techniques for analog-to-digital conversion. While both methods operate based on the principles of oversampling and noise shaping, they differ in their implementation and performance characteristics. CT ΔΣ converters use analog circuits to sample and process signals continuously, while DT ΔΣ utilizes digital circuits to sample and process signals at discrete intervals. This paper presents a comprehensive comparison between CT and DT ΔΣ converters, highlighting their advantages and limitations. The comparison is made in terms of design complexity, power consumption, signal-to-noise ratio (SNR), and other essential parameters in medical …

Tackling Translation Problems In Short Stories, Shatha Saleh Elshehry, Zainab Abuelmaatti

Effat Undergraduate Research Journal

In the age of globalization, the fact of being exposed to different cultures and backgrounds is unavoidable and literary texts are one of the most important sources that portray people's lives and believe. Translating such texts is vital in order to achieve understanding between different societies. However, the task of translating a literal text from Arabic into English is not easy as Arabic and English belong to different semantic maps and cultural settings. Therefore, problems encountered in translating these texts are inescapable. This study addresses the major problems faced by translators during translating a literary text from Arabic into English. …

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 …

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 …

Fault Detection In Analog Vlsi Circuits Based On Artificial Intelligence

Effat Undergraduate Research Journal

In thepastdecade,artificialintelligence(AI)hasbeenonthe rise asatooltobeutilizedacrossallthefieldsavailableintheindustry. Specificallyinthemicroelectronicsfield,exploringthecurrentoptionsof VLSI faultdetectionandtheirtypesiscrucialforadvancementandis importantinidentifyingwhetherthereisroomforimprovementorthe optimumisalreadybeingdone.Therefore,thepurposeofthisresearch is tocompareandcontrastbetweenVLSIfaultdetectionindigitaland analog circuitsusingAI.Techniquestoimproveefficiencysuchastrou- bleshootinginsmallsegmentsratherthanthewholesystemandsome resolutions todrawbacksthataren’tdetectibletohumansliketimingare discussed andresolvedinthispaper.Moreover,somenon-idealitiesand risks likemarginalstabilitywereconsidered.Finally,presentelements that areusedintoday’sfaultdetectioncircuitslikeneuralcontrollers and theANNswerediscussedaswell.Currently,theANNsarethemost utilized toolforfaultdiagnosesanddetection;however,forthecontinu- ation ofthistechnology’sgrowth,developersneedtofindmoreefficient methodstomovepastit.

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 …

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 …

Swahili And English Sell, But What About Iraqw And Sukuma? Tanzanian Native Languages And Ethnic Affiliations In Bottom-Up Commercial Signage, Adventina Buberwa

Journal of Humanities and Social Sciences

Policy statements in Tanzania forbid the use of ethnic community languages but permits Swahili and English in the public space. In this paper, we question the total absence of ethnic community languages in signposts in which previous studies of linguistic landscape attested the presence of unpermitted languages of Arabic, Chinese and Hindi. Under the auspices of the social identity theory, we envisaged the investigation and analysis of personal and place names on privately-owned commercial signposts. It has come out clearly that owners of the businesses represented would no doubt hope that the names they include in their signage would appeal …

Harmonizing Technological Advancement With Ethical And Safe Ai Deployment By Bridging The Innovation–Regulation Divide, Majd A. Ali, Wadii Ali, Hussein Abbas Hameed

Al-Farahidi Expert Systems Journal

The development of technology, especially artificial intelligence (AI), has revolutionized various fields like business, healthcare, and even security. Unfortunately, examining the ethical and legal ramifications associated with such sophisticated technology is often left behind. This paper delves into the most pressing issues related to AI and its innovation; specifically, it covers issues such as governance frameworks, the legal gap of coordination, international relations, and ethical problems like discrimination by algorithms, lack of clarity on who is being held responsible, and transparency deficiency. The study focuses on the global strategies for AI governance, from the stringent AI regulations of the European …

Battery Energy Storage Overview : Applications, Potential Challenges And Future Perspective, Haider Jouma Touma, Muhamadm Mansor, Ahmad Skaiky

Al-Farahidi Expert Systems Journal

In recent years, there has been a notable global increase in the adoption of Battery Energy Storage (BES). This trend is driven by significant reductions in battery manufacturing costs, improved battery performance, and the growing importance of sustainable energy generation systems, alongside global efforts to reduce harmful emissions. This article aims to provide a comprehensive and independent overview of BES, including battery classification. It also explores the diverse applications of BES across generation, transmission, and distribution levels. While emphasizing the significant benefits of BES, the article identifies a number of potential challenges, particularly those related to cost reduction for manufacturers, …

Integrating Deep Learning And Expert Systems In Negotiation Support: A Framework For Body Language Recognition To Augment Decision-Making Via Non-Verbal Cues, Majd Ali

Al-Farahidi Expert Systems Journal

This study develops an AI-driven expert system to improve negotiation outcomes by analyzing body language, a key but often ignored aspect of human communication in decision-making. The proposed system integrates Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks to serve as a knowledge-driven inference engine. By analyzing skeletal keypoint data, it classifies ten negotiation-specific behavioral cues, including weak stance, strong stance, overconfidence, interest, and openness. This approach enhances traditional rule-based negotiation models by augmenting them with data-driven insights, demonstrating the system's potential to improve decision-making processes. Translating body movements into behavioral insights mimics human expertise to help resolve …

Conservative Management Of An Iatrogenic Left Ventricular Pseudo Aneurysm After Type A Aortic Dissection Surgery, Wiem Feki, Amal Kchaou, Rania Gargouri, Hichem Denguir

Journal of the Saudi Heart Association

Left ventricular pseudo aneurysm a rare but potentially fatal complication after surgery for type A aortic dissection, due to the fragile nature of the pseudo aneurysm wall. We present the case of a 69-year-old man who developed a pseudo aneurysm at the apex of the left ventricle following surgical repair of a type A aortic dissection. Initially under diagnosed on trans thoracic echocardiography , the lesion was clearly characterized by CMR . Given the patient’s stable clinical status and morbidities , a conservative approach was adopted. The patient showed favorable evolution over time.

Posture - A Framework With Measures And Mediating Effects In Support Of A Structural Model For Attitude In Identity Formation, Christopher Kyle Prather

Doctoral Dissertations

This dissertation develops a framework and new, valid, abbreviated instruments for researching engineering identity formation as an evolving relational and attitudinal development process rather than a fixed outcome. The framework centers on “posture”, a mediating effect analogous to physical posture in human factors engineering. The investigation was unique, and developed evidence for a structural model using an interdisciplinary, systems-oriented approach. Methodologically, a clinical measure of internal emotional states from the Marriage and Family Therapy literature was administered alongside existing scales for perseverance, perceived workload, and psychological ownership. This study used the broad coverage of the clinical instrument to search for …

Blenderized Tube Feeding Formulas: Attitudes, Barriers, And Clinical Benefits As Perceived By Registered Dietitians In Pediatric Care, Savannah Smiley Keeler

Master's Theses

Blenderized tube feeding formulas (BTFF) are increasingly recognized as a viable alternative to conventional commercial tube feeding formulas (CTFF) for pediatric patients requiring enteral nutrition. This cross-sectional, exploratory study aimed to assess the experiences, attitudes, and perceived clinical benefits of BTFF use among Registered Dietitian Nutritionists (RDNs) working with gastrostomy-tube-dependent pediatric populations in the United States. A total of 146 RDNs completed a 45-item online survey, which gathered quantitative and qualitative data on BTFF familiarity, feasibility, clinical outcomes, caregiver factors, and institutional barriers. Findings revealed that while BTFF use remains variable across clinical settings, 55.8% of RDNs reported increased utilization …

Evaluation Of The Performance Of The Traveling Wave Differential Element In Protective Relays, Niranjan Kc

Master's Theses

This thesis evaluates the dependability, security, and limitations of the traveling wave differential protection function (TW87) in modern time-domain-based protective relays, using a combination of simulations and hardware testing in a laboratory environment. Fault transients are first generated using the electromagnetic transients program model of a real, 230 kV, 65.7 km long overhead transmission line, which are then played back on real time-domain-based protective relays. Various fault scenarios are chosen to evaluate the impacts of factors such as fault inception angle, distance to fault from line terminals, fault type, fault impedance, and external faults on the relay functions’ performance. Results …

Analyzing The Relationship Between Diabetes Duration And Self-Management In Adults With Diabetes, Caroline Noel Stroo

Master's Theses

Diabetes mellitus (DM) is a metabolic disease that affects 14.7% of adults in the United States (Centers for Disease Control and Prevention, 2023). Prevalence of diabetes increases with age, with rates for adults aged 65 and older reaching 29.2% (Centers for Disease Control and Prevention, 2023). Factors such as age, race, obesity, physical activity level, and genetics strongly increase the risk of developing type 2 diabetes (T2DM) (National Institute of Diabetes and Digestive and Kidney Disease, 2016). Diabetes requires complex and comprehensive management to reduce the risk of developing comorbidities (Al-Shabeeb et al., 2021). Factors such as education, familial support, …

Personality, Self-Compassion, And Alcohol Use In College Students, Kristen Kay Ridgdell

Doctoral Dissertations

Substance use has been occurring throughout history, and most individuals have been impacted by substance use in one way or another (Durrant & Thakker, 2003). The individual using substances is not the only one who faces the consequences of their usage. Their families and communities also pay a price (Lander et al., 2013; McLellan, 2017). College students are in a unique role in their lives where they are fighting for autonomy, trying to fit in with their peers, and facing new stressors they have never experienced before. Previous research has demonstrated that certain personality traits, including conscientiousness and agreeableness, are …

Lactation Management Training In Graduate Nutrition And Dietetics Programs: A Preliminary Report, Laura Ashton Gillin

Master's Theses

The American Academy of Pediatrics recommends exclusive breastfeeding (BF) for the first six months and continued breastfeeding for at least two years with complementary food. Despite this recommendation, only 24.9% of infants in the United States are exclusively breastfed at six months (Breastfeeding Report Card 2022). Breastfeeding support and lactation management are critical to promoting a successful breastfeeding experience. Specifically, qualified support from a Registered Dietitian Nutritionist (RDN) is recommended, yet graduate students in Nutrition and Dietetics do not receive adequate training regarding breastfeeding intervention. This study aimed to evaluate graduate Nutrition and Dietetic programs to determine the amount of …

Sleep, Emotion Regulation, And Relationship Satisfaction: A Moderation Analysis, Lakyn Boone

Doctoral Dissertations

Sleep plays a pivotal role in overall health and well-being, influencing mental health, cognitive abilities, memory, emotional balance, and physical well-being (Luyster et al., 2012; Mukherjee et al., 2015). Emotions constitute a natural and indispensable element of human existence but necessitate proper regulation, as any disruption in emotion control has been associated with various mental health disorders (Gross & Jazaieri, 2014; Kring & Gordon, 1998; Phelps, 2006). Furthermore, human connections and relationships are fundamental aspects of the human experience, contributing to emotional support, personal growth, a sense of belonging, and even influencing one's physical health outcomes (Baumeister & Leary, 1995; …