Digital Commons Network^™

Applications Of Reservoir Simulation And Machine Learning In Subsurface Energy Systems For Decarbonization, Seyedmohammadmehdi Nassabeh

Theses: Doctorates and Masters

The transition to a low-carbon future necessitates innovative approaches to carbon management and hydrogen storage, particularly in the context of enhanced oil recovery (EOR) from hydrocarbon reservoirs. This study employs advanced analytics and machine learning techniques to optimize carbon management strategies. One key focus of this research is to evaluate the effectiveness of flue gas and CO2 in Water Alternating Gas (WAG) injection within a homogeneous fractured carbonate reservoir characterized by low porosity and permeability. A computational model was developed to depict the flow regime in the reservoir and simulate reservoir fluid behavior using Eclipse (E300) software, various hybrid EOR …

Modelling The Impacts Of Recreational Catch-And-Release Variability On Fish Stock Dynamics, Brett Crisafulli

Theses: Doctorates and Masters

Recreational fisheries often lack sufficient data for robust stock assessments, and post-release mortality (PRM) of discarded fish, particularly demersal species, poses a significant threat to sustainability. Because demersal fish often experience higher PRM (often due to barotrauma and stress), the substantial global interest in their recreational fisheries (e.g., Australia, Gulf of Mexico, Western Baltic Sea) raises conservation concerns. This study employs three distinct modelling approaches, applied to four reef-dwelling demersal species, to support effective recreational fisheries management by addressing data uncertainty, unintended consequences of management changes, and PRM effects. Specifically, this thesis (1) evaluates variability in average weights of recreationally-caught …

The Rise Of Women In Mining - How To Improve Inclusion And Diversity Through Organisational Programs, Ashley Mcgrath

Theses: Doctorates and Masters

The inclusion and diversity (I&D) of women has become a priority for organisations due to the positive association with business performance and rising expectations of employees and shareholders for fair outcomes for all genders. Improving the I&D of women is also being driven by the evolving Australian legal framework which has heightened the responsibility of organisations regarding psychological safety and the prevention of sexual harassment and sex-based discrimination. Companies operating in male dominated industries in Western Australia (WA) are under particular pressure due to lagging performance in addressing equity issues at a state level. Existing research correlates the I&D of …

Optimal Bag Valve Mask Ventilation Efficacy Of Smart Bag Ventilation Compared To Traditional Adult And Paediatric Bag Valve Ventilation During Cardiopulmonary Resuscitation, Ian Dawson

Theses: Doctorates and Masters

Background: Out-of-Hospital Cardiac Arrest (OHCA) is one of the world’s leading causes of mortality. Survival rates are low, ranging from 3.1–20.4% internationally. The most effective oxygenation method for patients during pre-hospital cardiac arrest is ventilating using a self- inflating Bag-Valve-Mask (BVM). Yet, extensive research has identified a lack of compliance with ventilator guidelines during OHCA cardiopulmonary resuscitation (CPR). As a result, clinicians often ventilate patients too aggressively using the BVM, delivering breaths excessively higher than the International Liaison Committee on Resuscitation (ILCOR) recommended rate of 10 breaths per minute (BPM). Hyperventilation can lead to complications such as aspiration, barotrauma, and …

Harmony Or Discord? A Study On The Alignment Between National Objectives And Reformed Social Studies Textbooks In Egypt, Lina Yehia

Theses and Dissertations

Education systems, in many parts of the world, have served as a channel for communicating national goals to students, and Egypt has not been an exception. This study examines how public textbooks effectively align with equipping future generations of Egyptians to fulfill the nation’s development policy goals set for 2030. Utilizing a qualitative research design, this study employed textbook and document analyses of the published national policy goals of the current administration, along with the most recently reformed social studies textbooks of Grades 4, 5, and 6, a product of EDU 2.0. Based on an analysis of national documents, the …

Classification Of Indonesian Sign Language (Sibi) Using Data Mining Algorithms K-Nearest Neighbor And Random Forest, Muhammad Zaki Wirawan, Achmad Afif, Anik Nur Handayani, Imanuel Hitipeuw, Osamu Fukuda

Knowledge Engineering and Data Science

This study aims to address the communication hallenges faced by the Indonesian deaf community by developing an automatic classification model for Sistem Bahasa Isyarat Indonesia (SIBI) using data mining techniques. The main objective is to identify a practical algorithm for recognizing SIBI hand gestures to enhance accessibility and inclusiveness in digital communication. A comprehensive dataset consisting of 32,850 gesture samples representing SIBI alphabet signs was collected and processed through feature extraction, data cleaning, and normalization using Z-Transform and Min-Max methods. Two classification algorithms, K-Nearest Neighbor (KNN) and Random Forest, were implemented and evaluated using metrics such as accuracy, precision, recall, …

A Comparative Study Of Machine Learning Models For Javanese Wuku Classification: Exploring Svm, Naïve Bayes, And Cnn For Cultural Texts, Danang Arbian Sulistyo, Aji Prasetya Wibawa, Didik Dwi Prasetya, Fadhli Almu'iini Ahda, Agung Bella Putra Utama

Knowledge Engineering and Data Science

This study rigorously evaluates machine learning models for classifying culturally significant Javanese Wuku texts from the “Keagamaan atau Spiritual” category, a domain challenged by unique linguistic nuances and limited digitized resources. We compared Support Vector Machine (SVM), Naïve Bayes, and Convolutional Neural Network (CNN) on texts from five pivotal Wuku types (Sinta, Galungan, Kuningan, Sungsang, Warigalit) sourced from sastra.org, aiming to identify the most effective computational approach. The dataset comprises N = 1419 documents (T = 751.290 tokens), with per-class document counts reported for all five Wuku types. Our evaluation uses accuracy, precision, recall, F1-score, and …

Analysis And Research On The Guiding Role Of Xi Jinping Thought On Socialism With Chinese Characteristics For A New Era In The Discipline Of Information Resources Management, Sanhong Deng, Yiqin Zhang, Hao Wang

Journal of Scientific Information Research

[Purpose/significance]This paper explores the guiding role of Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era in the development of the Information Resource Management discipline with Chinese characteristics, providing significant insights for the innovative advancement of China's Information Resource Management discipline and strengthening the discourse power of Chinese social sciences. [Method/process]This paper systematically reviews the core elements of the development philosophy of the Information Resource Management discipline within Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era from a holistic perspective,elucidates the logical system of the development of the discipline from the diverse perspectives …

Identifying Research Paths Based On Main Path Analysis: A Case Study Of Knowledge Graphs, Ruibin Wei, Yidan Wang, Yan Xu

Journal of Scientific Information Research

[Purpose/significance]The main path analysis of citation networks can be used to identify important literature in specific fields and can achieve the extraction of mainstream research threads. This paper will use the main path analysis method to analyze the research path of knowledge graphs and sort out the context of their research development. [Method/process]This paper firstly obtains research papers in the field of knowledge graphs from the Web of Science platform, then uses the HistCite software to generate a direct citation network of the literature, and then imports the data into Pajek to generate multiple main paths of the dataset, and …

The Evolution Of Research Methods In The Digital Humanities Perspective: A Quantitative Analysis Based On Cnki Data And A Large Language Model, Guangyao Sun, Dongbo Wang

Journal of Scientific Information Research

[Purpose/significance]This paper aims to explore the evolution trend of research methods in the field of digital humanities with the help of large language model technology. [Method/process]This paper mainly focuses on the data of CNKI journal articles, selects the general Chinese large language model GLM-4, uses prompt engineering and chain of thought to extract and cluster the abstract data, of papers and analyzes its evolution trend through quantitative processing. [Result/conclusion]The study shows that GLM-4 can well identify and extract research methods from complex abstract data. Analyzing the evolution trend in chronological order, it is found that research methods such as "interview …

Research On Emerging Technology Topic Identification Based On Bertopic, Dakun Wang, Bolin Hua

Journal of Scientific Information Research

[Purpose/significance]Identifying and foreseeing emerging technologies, bring technological first-mover advantages to enterprises and governments, and grasp technological development trends in a timely manner. [Method/process]This study uses BERTopic's topic modeling method to obtain domain topic distribution, and merges paper and patent topics based on the cosine similarity of topic vectors to identify emerging topics. [Result/conclusion]Using the BERTopic topic modeling method combined with index evaluation can effectively identify emerging topics and emerging terms.Taking the field of new energy vehicles as an example to carry out empirical research, using two methods: divided verification period and data verification method, 12 of the 16 identified topics …

The Swiping Desire: Intimacy, Libidinal Capitalism, And The Digital Subject In The Tinder Swindler, Chanif Ainun Naim

Masyarakat: Jurnal Sosiologi

This article examines how dating applications operate as libidinal infrastructures that restructure and commodify intimacy within platform capitalism, using The Tinder Swindler as a cultural case study. Employing a visual-narrative approach within the framework of Critical Discourse Analysis, the film is analyzed to reveal the structural exploitation of user affect and desire. Grounded in Lacanian psychoanalysis and Baudrillard’s simulation theory, the study argues that these platforms capitalize on the subject’s ontological lack (manque) which fuels desire as the desire for the Other’s desire. This psychic lack sustains a perpetual pursuit of recognition that can never be fulfilled. The swindler’s hyper-curated …

Butyrate Attenuates High-Fat Diet Induced Glomerulopathy Through Gpr43-Sirt3 Pathway, Ying Shi, Lin Xing, Ruoyi Zheng, Xin Luo, Fangzhi Yue, Xingwei Xiang, Anqi Qiu, Junyan Xie, Ryan D. Russell, Dongmei Zhang

Health & Human Performance Faculty Publications

The incidence of obesity related glomerulopathy (ORG) is rising worldwide with very limited treatment methods. Paralleled with the gut-kidney axis theory, beneficial effects of butyrate, one of short-chain fatty acids produced by gut microbiota, on metabolism and certain kidney diseases have gained growing attention. However, the effects of butyrate on ORG and its underlying mechanism are largely unexplored. In this study, a mice model of ORG was established with high-fat diet (HFD) feeding for 16 weeks, and sodium butyrate treatment was initiated at the 8th week. Podocytes injury, oxidative stress, and mitochondria function were evaluated in mice kidney and validated …

An Introduction To U.S. Groundwater Law: Domestic And Transboundary Considerations, Caleb Cook, Gabriel Eckstein

Faculty Scholarship

In light of the scientific and historical factors that have shaped the development of groundwater law and policy, this chapter seeks to provide a primarily descriptive account of its current state in the United States and to lay a foundation for future efforts to address gaps in the regime. Section 8B.02 considers the importance of groundwater in modern American society, with a particular focus on its uses and the threats these resources face. Section 8B.03 describes the U.S. framework for the domestic governance of groundwater resources. Section 8B.04 describes the mechanisms for transboundary governance of groundwater between the United States …

Law, Conflict, And Hybrid Warfare: A Teaching Imperative For A Changing World, Cynthia Alkon, Andrea Kupfer Schneider

Faculty Scholarship

Lawyers increasingly find themselves at the frontlines of the battlefield, just not in the traditional sense. Hybrid warfare is a conflict form that combines traditional military offensive measures with nontraditional methods, including the harnessing of legal systems to achieve strategic goals. Lawyers have always been at the frontline of typical legal risk assessment, thinking about a client's risk of liability or regulation costs generally. Now, lawyers must stand at the ready for a lot more: lawyers must be prepared for cyber-attacks, disinformation campaigns using artificial intelligence, the use of court systems to suppress reporting or shield bad actors, and so …

Psychology's Questionable Research Fundamentals (Qrfs): Key Problems In Quantitative Psychology And Psychological Measurement Beyond Questionable Research Practices (Qrps), Jana Uher, Jan Ketil Arnulf, Paul T. Barrett, Moritz Heene, Jörg Henrik Heine, Jack Martin, Lucas B. Mazur, Marek Mcgann, Robert J. Mislevy, Craig Speelman, Aaro Toomela, Ron Weber

Research outputs 2022 to 2026

Psychology's crises (e.g., replicability, generalisability) are currently believed to derive from Questionable Research Practices (QRPs), thus scientific misconduct. Just improving the same practices, however, cannot tackle the root causes of psychology's problems—the Questionable Research Fundamentals (QRFs) of many of its theories, concepts, approaches and methods (e.g., psychometrics), which are grounded in their insufficiently elaborated underlying philosophies of science. Key problems of psychological measurement are critically explored from independent perspectives involving various fields of expertise and lines of research that are well established but still hardly known in mainstream psychology. This comprehensive multi-perspectival review presents diverse philosophies of science that are …

Challenges And Perspectives On Photocatalytic Membrane Reactors For Volatile Organic Compounds Degradation And Nitrogen Oxides Treatment, Muhammad Hassnain, Muhammad Rizwan Azhar, Asad Ali, Muhammad Mubashir, Abdulrahman Abutaleb

Research outputs 2022 to 2026

Air pollution is a pressing environmental and public health issue, with volatile organic compounds (VOCs) and nitrogen oxides (NOx) being among the most hazardous airborne pollutants. Photocatalytic membrane reactors (PMRs) have emerged as a promising technology for air purification due to their ability to integrate photocatalytic degradation and membrane separation in a single system. This paper provides a comprehensive review of the advancements, challenges, and future prospects of PMR technology for VOC degradation and NOx treatment. Various photocatalytic membranes and their fabrication techniques, including material selection, structural modifications, and catalyst immobilization strategies, are critically analyzed. The study further explores different …

Legal Research Skills: An Australian Law Guide, University Of Queensland, James Cook University, University Of Southern Queensland, Charles Darwin University, Southern Cross University, Queensland University Of Technology, Deakin University, University Of South Australia, Kate Strong, University Of Tasmania, The Australian National University

Research outputs 2022 to 2026

Updated in 2025, this edition of the guide is designed to support students undertaking Australian legal studies and contribute to the development of research skills in Australian law schools. An exciting feature of this edition includes a brand new chapter on Legal Research using Generative Artificial Intelligence (Gen AI).

Benchmarking Multimodal Large Language Models On The Dental Licensing Examination: Challenges With Clinical Image Interpretation, Yuichi Mine, Shota Okazaki, Tsuyoshi Taji, Hiroyuki Kawaguchi, Naoya Kakimoto, Takeshi Murayama

Journal of Dental Sciences

Abstract Background /purpose: Large language models (LLMs) have been studied in text-based healthcare tasks, but their performance in multimodal dental applications has not yet been fully explored. This study evaluated the performance of four multimodal LLMs on dental licensing examination questions with both text-only and visually-based components. Materials and methods Four multimodal LLMs, ChatGPT-4o (4o), OpenAI o1 (o1), Claude 3.5 Sonnet (Sonnet), and Gemini 2.0 Flash Thinking Experimental (Gemini), were tested on 353 questions from the 2024 Japanese National Dental Examination, including 204 text-only and 149 visually-based questions spanning 17 dental specialties. A zero-shot approach was used without prompt engineering. …

An Explainable Ai And Optimized Multi-Branch Convolutional Neural Network Model For Eye Anemia Diagnosis, Kamel K. Mohammed, Nadia Dahmani, Rania Ahmed, Ashraf Darwish, Aboul Ella Hassanien

All Works

This paper proposes a novel, non-invasive approach to diagnosing eye anemia using deep learning techniques. Traditional methods, reliant on invasive procedures like venipuncture, are costly and can cause patient discomfort. Our model leverages a multi-branch convolutional neural network (CNN) architecture, incorporating the Hippopotamus Optimization (HO) algorithm and multiclass support vector machines (SVMs) for enhanced accuracy. To address data imbalance, we employ the Synthetic Minority Oversampling Technique (SMOTE) and data augmentation. The model is trained and evaluated on a dataset of 211 eye images. The model achieves a remarkable 97.06% accuracy, with a Receiver Operating Characteristic (ROC) curve demonstrating an Area …

Digital Transformation Of Education: An Integrated Framework For Metaverse, Blockchain, And Ai-Driven Learning, Mousa Al-Kfairy, Omar Alfandi, Ravi S. Sharma, Saed Alrabaee

All Works

The integration of Metaverse, Blockchain, and Artificial Intelligence (AI) has the potential to revolutionize the educational landscape by providing immersive, secure, and personalized learning environments. This study proposes a conceptual framework that combines these technologies to address the key challenges faced by contemporary education systems, including accessibility, engagement, security, and personalization. The Metaverse serves as the immersive platform, offering virtual classrooms, interactive simulations, and gamified learning experiences. Blockchain provides the foundation for secure and transparent academic records, enabling tamper-proof credential verification and decentralized data management. AI enhances the educational experience by powering adaptive learning systems, predictive analytics, and intelligent tutoring …

Leveraging Sentiment Analysis Of Food Delivery Services Reviews Using Deep Learning And Word Embedding, Dheya Mustafa, Safaa M. Khabour, Mousa Al-Kfairy, Ahmed Shatnawi

All Works

Companies that deliver food (food delivery services, or FDS) try to use customer feedback to identify aspects where the customer experience could be improved. Consumer feedback on purchasing and receiving goods via online platforms is a crucial tool for learning about a company’s performance. Many English-language studies have been conducted on sentiment analysis (SA). Arabic is becoming one of the most extensively written languages on the World Wide Web, but because of its morphological and grammatical difficulty as well as the lack of openly accessible resources for Arabic SA, like as dictionaries and datasets, there has not been much research …

Deep Learning Approaches For Eeg-Based Biometrics: A Systematic Review, Ali E. Albaiati, Muhammad Firdaus Akbar, Murtadha D. Hssayeni, Ashraf Khalil, Mohd Nadhir Ab Wahab, Sundus Sulaiman Weli, Enas A. Raheema

All Works

Biometics such as fingerprint, face, and iris are vulnerable to spoof attacks. The unique characteristics of Electroencephalography (EEG) make it a promising biometric modality especially because of its resistance to spoofing attacks. Many deep learning methods have been proposed for EEG-based biometric systems. This systematic review examines these methods in terms of their feature extraction ability and authentication performance. We follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to search IEEE Xplore, PubMed, Web of Science, ScienceDirect, and Springer databases. Initially, we identified 285 relevant articles published between 2018 and 2024. After removing duplicates and applying …

"You Can't Buck Against The Railroad" And The Anarchist Radicals Who Ceased To Be: The Honest, Bleak Portrayal Of Social Darwinism In Frank Norris's The Octopus, Michelle Nicole Miani

Theses, Dissertations and Culminating Projects

During the latter half of the nineteenth century, when railroads were consolidating their control, their executives soon learned their power of controlling rates, and by extension, the entire economy. Dissecting the capitalist machine of the railroad corporations in California, Frank Norris’s 1901 novel The Octopus presents a fictionalized account of the very real circumstances of one fight against the monopoly, the Mussel Slough Tragedy of 1880 in the San Joaquin Valley. This thesis explores Norris’s presentation of the forces that drive humans to lack empathy for those around them as well as the forces that drive others to fight back …

Solar Stills Design And Evaluation Of: A Comprehensive Review, Suhaib J. Shbailat, Salwa Bouadila

Babylonian Journal of Mechanical Engineering

Modifications to the Distiller in the water desalination in desert territories, a set of models was suggested (including simple solar panel with single-slope basin). The improvements were classified into two types. the first was to cool the condenser, and the second was to portray the process of heating the evaporator. Five experiments were carried out in the Ouargla region with a dry desert climate. The study, experimental and theoretical, supported the claim that when a heat pump evaporator was added, production of pure water was increased. It was followed by steam condensation and exposing the condenser to sunlight. This was …

Design And Fabrication Of An Integrated Solar Still And Uv/Pasteurization System For Domestic Use, Majid H. Ali, D A. Al-Saadi, V V. Ostrikov

Babylonian Journal of Mechanical Engineering

Water, that miraculous liquid, is the fundamental foundation upon which life on Earth is based. The first human civilizations were founded on water, and wherever water is found, civilization is found. Given the increasing population, rising living standards, and developments that have led to increased water pollution and limited water resources, and given the expected rise in fuel and electricity prices in the future, and to rationalize electricity consumption, the use of solar energy is an effective solution for desalination and sterilization of water.In this research, a solar-powered desalination and sterilization system was designed and manufactured to make water potable. …

Trade Secrecy's Information Paradox, Christopher Buccafusco, Jonathan S. Masur, Deepa Varadarajan

Faculty Scholarship

Trade secret law is meant to encourage socially beneficial behaviors by permitting firms to protect their investments in the creation of valuable information. In theory, the ability to protect valuable information will make firms more likely to create that information in the first instance. But the law can also be used to shield socially harmful behaviors from public oversight. Firms can assert trade secret protection to prevent journalists, watchdogs, and criminal defendants from learning whether they are engaged in dangerous, wrongful, or biased activity. Ideally, trade secret law should sort socially beneficial uses from socially harmful ones, permitting only the …

The International Risk Governance Council: Reflections On A 20-Year Experiment In Support Of Improved Risk Governance, M. Granger Morgan, Marie-Valentine Florin, Igor Linkov, Kenneth A. Oye, Arthur C. Petersen, Ortwin Renn, Jonathan B. Wiener, Lan Xue

Faculty Scholarship

The International Risk Governance Council (IRGC) was a nonprofit foundation, based first as an independent, freestanding Swiss foundation in Geneva from 2003 to 2012, and then affiliated with École Polytechnique Fédérale de Lausanne in Lausanne from 2012 to 2023. IRGC's mission was to identify and improve the governance of emerging and systemic risks that have, or could have, impacts on human and environmental health, the economy and society, and overall sustainability. In this paper, we recount IRGC's history, describe its many reports, workshops, and conference activities (including tables referencing the many published products), and provide six brief case histories of …

The Hidden Cost Of Venture Capital, Emilie Aguirre

Faculty Scholarship

Founders, employees, consumers, and even funders increasingly expect businesses to pursue social goals alongside financial performance. Yet even the most committed firms have found it difficult to maintain social performance over time. Scholars in economics, management, and law have put forth several explanations for this “mission drift,” including inappropriate governance, poor management, lack of genuine commitment, and threat of takeovers. Puzzlingly, research to date primarily focuses on later-stage firms, even though the events and decisions that take place in a firm’s early stages can critically impact retention of its social performance.

Drawing from over five years of qualitative field research …

Affording Oral Tradition Evidence Due Weight Before The International Court Of Justice, Terrence Neal

Faculty Scholarship

Oral traditions are irreplaceable sources of historical information, particularly with regard to Indigenous Peoples’ histories and cultures. However, when states have submitted oral traditions as evidence of historical practices, events, and circumstances in cases before the International Court of Justice (“Court”), the Court has been reluctant to afford them significant weight. This Article, which is the first detailed study on the Court’s treatment of oral traditions, examines whether the Court is failing to provide them due or appropriate weight. Based on historical, archaeological, and anthropological research, it establishes that oral traditions can be as reliable as written documents for reconstructing …