Digital Commons Network^™

The Potential Of Protection System Of Curator And Administrator Profession In Indonesia (Comparative Analysis Of Curator And Notary Profession In Indonesia), Banat Aghniya Ghassani Yudistira

Technology and Economics Law Journal

This thesis explores the potential need for a protection system for curators and administrators in Indonesia’s bankruptcy proceedings, highlighting their vulnerability to criminalization despite fulfilling roles mandated by law. The study begins by outlining the duties and responsibilities of curators and administrator under Law No. 37 of 2004 on Bankruptcy and Suspension of Debt Payment Obligations (UU KPKPU), emphasizing their legal obligation to manage and settle bankrupt assets independently and without conflict of interest. However in practice, curators and administrators often face legal threats and being criminalized, including police reports and criminal charges, merely for executing duties outlined in the …

Comparative Analysis Between The United States And Indonesia Regarding Product Liability Of Food And Beverage Tenants Within The Tourism Industry, Shadrina R. T. Utomo, Henny Marlyna, Ayu Galuh Anggraini

Technology and Economics Law Journal

This research analyzes on how the laws in Indonesia and Florida, United States (U.S.) regulate the product liability of tourism entrepreneurs, whether as the food and beverage tenant within the tourism area or as the tourism operator, who have caused tourists to suffer from food poisoning. The Law Number 10 Year 2009 concerning Tourism the obligation for tourism entrepreneurs in providing insurance is only for high-risk tourism businesses. Tourism entrepreneurs in Indonesia have made various safety measures by fulfilling the sanitation and hygiene requirements, and preparing medical protocols. Meanwhile in Florida, tourism entrepreneurs have added accessibility efforts for tourists with …

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 …

Elder Burnice Johnson

African American Funeral Programs

Funeral program for Bernice Johnson

Learning Neural Point Processes For Long Event Sequences, Zhuoqun Li

LSU Doctoral Dissertations

This research presents a comprehensive series of studies aimed at advancing learning neural point processes for long event sequences, with applications spanning disaster resilience, crime forecasting, and healthcare. Structured around three interconnected studies, this work addresses core challenges in temporal point process (TPP) modeling, efficient handling of long event sequences, and improving accuracy over extended forecasting horizons by reinforcement learning.

The first study proposes the Sparse Transformer Hawkes Process (STHP) to model long asynchronous event sequences. Traditional neural network-based TPPs struggle with long event sequences due to computational inefficiencies. To address this, the STHP model combines two components: a temporal …

A Comparison Of Diving Behavior Of Goose-Beaked And Dense-Beaked Whales From Tagging Studies In Multiple Ocean Basins, Jay Barlow, Robin W. Baird, Janelle Badger, Gregory S. Schorr, Erin A. Falcone, Shannon N. Coates, Peter L. Tyack, Andrew J. Read, Leigh S. Hickmott, John W. Durban, Diane Claridge, Natacha Aguilar De Soto, Daniel Miranda Gonzalez, Fleur Visser, Machiel G. Oudejans, Stacy L. De Ruiter, David A. Sweeney, Brenda K. Rone, Stephanie L. Watwood

University Faculty Publications and Creative Works

Studies of cetacean diving behavior in multiple locations in different ocean basins allow for an assessment of variability within and among populations. We examine foraging dive behaviors of goose-beaked whales (Ziphius cavirostris) and dense-beaked whales (Mesoplodon densirostris) using data from 132 tagged whales in seven locations in the Pacific and Atlantic Oceans and the Mediterranean Sea. Acoustic recording tags are used to identify foraging dives by the presence of echolocation. For other tag types, foraging dives are identified based on maximum dive depth. Five parameters are used to characterize foraging dives: maximum dive depth, foraging dive duration, dive cycle duration, …

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 …

Dolutegravir Developmental Toxicity Is Mitigated By Magnesium And Folate In Zebrafish Embryos, Katheryn A Neugebauer, Daniel A Gorelick

Faculty, Staff and Students Publications

Integrase-strand-transfer inhibitors have transformed HIV therapy, yet the widely prescribed drug dolutegravir (DTG) has been linked to developmental toxicity and its teratogenic mechanism remains uncertain. Here we use zebrafish to dissect DTG toxicity during early vertebrate development. DTG exposure from 2-4 h post-fertilization (hpf) to 24 hpf produced high mortality and abnormal morphology; co-treatment with folic acid or 5-methyltetrahydrofolate partially restored normal morphology, whereas calcium had no effect. Strikingly, supplementation with magnesium (Mg) rescued DTG-exposed embryos almost as effectively as folate, implicating magnesium availability in protection. In competitive binding assays, Mg increased binding of folate to purified folate receptor (FOLR1) …

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.