Digital Commons Network^™

Urinary Metabolome Study For Monitoring Prostate Cancer Recurrence Following Radical Prostatectomy., Sabur Badmos, Elizabeth Noriega Landa, Kiana L. Holbrook, George E. Quaye, Xiaogang Su, Wen-Yee Lee

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND/OBJECTIVES: Prostate cancer (PCa) is the most common cancer among males. Approximately 20-40% of patients with clinically localized PCa will present with a biochemical recurrence after a radical prostatectomy (RP), while some will present with recurrent metastasis. Monitoring the disease post-treatment is crucial for detecting a potential cancer recurrence early. Urinary volatile organic compounds (VOCs) have shown potential to detect PCa. However, their application in disease monitoring remains unexplored.

METHODS: A total of 165 urine samples were collected from male adults with biopsy-designated PCa-positive results before (n = 55) and after a RP (n = 55), and with …

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 …

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 …

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.

A Comparative Study Of Opinion Summarization Techniques: Extracting And Summarizing Sentiments From Text, Wejdan O. Alshateri, Rim Obaid, 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 …

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 …

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 …

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.

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 …

Nucleus Rehabilitationcentre

Effat Undergraduate Research Journal

ImprisonmentofchildjuvenilesinSaudiArabiaisontherise due totherateofcrimecommittedbythesegroupofindividual.How- ever,imprisonmentalonewillnotbeabletocorrectthementalcondition of youngchildren,andcouldevenprovokethemtocommitmorecrimes later inlife.Thus,thegovernmentofSaudiArabiaintendstoestablisha rehabilitation centerforthesegroupsofpeoplethroughitsvision2030. Hence, inthisworkaconceptualproposedondevelopinganucleusreha- bilitation centeratJeddah,SaudiArabiaispresented.Inthiswork,the estimated netareaforthecenteris13118.3m2andthetotalgrossarea is 16699.56m2.Inaddition,thecenteriscomprisedoffewzonessuchas main reception,administration,archives,healthunit,reformprogram, entertainment,residenceofteenagers,mail,visitationandservice.More- over,therehabilitationcenterisproposedtobedevelopedatatDahban cityinJeddah,whichfulfilstherequirementfortherehabilitationcen- ter. Therehabilitationcenteraimstoproduceawell-behavedgeneration and helpthembeginanewphaseoflifewiththeirlocalcommunityand society,whichisinlinewiththevision2030ofSaudiArabia.

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 …

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 …

Synthesis Of Some New Sulfonamide Derivatives From Acetanilide And Amino Acids And Confirmation Of Their Structures By Spectroscopic Techniques, Ayman Ahmad Ramadan

Al-Farahidi Expert Systems Journal

A convenient, mild, eco-friendly, economical and efficient one-step synthesis of new sulfonamides derived from acetanilide by Hinsberg's reaction between p-acetamido benzene sulfonyl chloride (resulted by chlorosulfonation of acetanilide) and some amino acids (Glycine, Alanine, Phenylalanine, Valine) is described in the presence of sodium carbonate as an acid scavenger and water as a solvent at room temperature. The intermediate compound (of p-acetamido benzene sulfonyl chloride) was initially prepared in a yield of 83.1% by reacting chlorosulfonic acid with acetanilide. Four new sulfonamides were then prepared: the first compound was 2-(4′-acetamidophenyl sulfonamido) Acetic acid in a yield of 89.7% by …

Optimizing K-Prototype Or Scalable Mixed-Data Clustering: A Vectorized Approach To Accelerate Convergence And Accuracy In Big Data, Faten Fagr Alkourdy

Al-Farahidi Expert Systems Journal

The exponential growth of data stored in databases and data warehouses has intensified the demand for advanced analytical tools capable of efficiently extracting actionable insights. Data mining has emerged as a critical methodology for transforming vast datasets into knowledge. However, traditional techniques often face scalability challenges, particularly due to prolonged computational times, which hinder their effectiveness in large-scale applications. This research aims to improve the K-prototypes clustering algorithm to optimize computational efficiency and enhance clustering precision, enabling more effective knowledge discovery. Key modifications involve implementing vectorization techniques to accelerate processing, redesigning the initialization strategy for cluster centers, and refining the …