Digital Commons Network^™

Evaluating Disaster Relief In Supply Chains Using A Neutrosophic Mcdm Approach, Nada A. Nabeeh

Neutrosophic Systems with Applications

Disaster-prone regions and affected areas encounter persistent challenges in maintaining supply chain continuity due to environmental uncertainties and infrastructure disruptions. Effective supply chain disaster management (SCDM) is essential for relief disaster disruptions, specifically in upstream processes and functions within the humanitarian supply chain. The integration of advanced technologies like the metaverse and Multiple-Criteria Decision-Making (MCDM) methods supports strategic planning and enhances resilience. This study presents a multi-criteria decision-making (MCDM) proposed approach for disaster relief evaluation in supply chain management. The proposed model integrates Interval-Valued Neutrosophic Numbers (IVNNs) to manage uncertainty and ambiguity inherent in disaster various criteria which are often …

Ai Governance And Algorithmic Auditing In Financial Institutions: Lessons From Singapore, Nydia Remolina Leon

Research Collection Yong Pung How School Of Law

This paper examines the role of algorithmic auditing as a mechanism for responsible AI development and deployment in the financial sector, with a particular focus on Singapore’s regulatory and institutional initiatives. Against the backdrop of fragmented global artificial intelligence (AI) governance frameworks, the study analyses how Singapore has developed operational tools — such as the Veritas Toolkit, AI Verify, Project Moonshot and Project Mindforge — that go beyond abstract ethical principles to provide measurable, use-case-specific standards for auditing AI systems. These initiatives contribute to standardising audit practices, enhancing transparency and bridging trust gaps between financial institutions, regulators and stakeholders. The …

Ecological Responsibility In The City: The Surfaces And Volumes Of Urban Mosquito Management, Orlando Woods, Sayd Randle

Research Collection College of Integrative Studies

This paper explores how ecological responsibility becomes distributed across the surfaces and volumes of the city. Our focus is urban mosquito management – specifically, the management of the Aedes aegypti mosquito, the vector by which dengue and several other diseases are transmitted to humans – and the governance strategies deployed in Singapore to manage breeding sites and mosquito outbreaks. Whilst the governance of nature in Singapore is usually undertaken by the state, the effective management of mosquitoes requires responsibility for ecological management to become distributed throughout the city. Residents are expected to assume responsibility for surficial cleanliness and the removal …

Infrastructural Splintering Along The Bri: Catholic Political Ecologies And The Fractious Futures Of Sri Lanka’S Littoral Spaces, Orlando Woods

Research Collection College of Integrative Studies

This article considers the ways in which the material infrastructures of China’s Belt and Road Initiative (BRI) intersect with other infrastructural formations, and how the resulting overlaps can trigger processes of what I call “infrastructural splintering”. These processes cause infrastructure to be experienced in differentiating ways, creating divisive politics where there might once have been unity. Embracing these politics as an analytical starting point undermines the techno-material stability of the BRI, and reveals its more-than-material affects. I illustrate these ideas by developing a case study of the effects of the China-backed Colombo Port City project on Catholic fishing communities that …

Techno-Geopolitics And Semi-Conductor Chokepoints: Beyond The Us-China Wto Dispute, Han-Wei Liu, Ching-Fu Lin

Research Collection Yong Pung How School Of Law

Much ink has been spilled on the US-China tech and trade war, particularly the role of US export controls in containing China and preserving America’s tech dominance. Less attention, however, has been paid to other critical nodes in the global semiconductor supply chain – Taiwan, South Korea, Japan, and the Netherlands – which we coin as ‘chokepoint economies’. Taiwan alone produces over 90% of the world’s most advanced chips, vital to the digital age and the future of AI in the Indo-Pacific and beyond. Using Taiwan as a case study, this paper shows how chokepoint economies navigate competing pressures amid …

Hospitality At The End Of The World: An Ideological Rhetorical Criticism Of Tactical Technical Communication In The Prepper Journal, Ryan Cheek

English and Technical Communication Faculty Research & Creative Works

No abstract provided.

Adam Smith: Social Imaginary And Religion, Jan Van Vliet

Pro Rege

No abstract provided.

By Wisdom, God Laid An Intricate Foundation: A Christian Approach To Ecological Restoration, Michelle E. Howell

Pro Rege

No abstract provided.

A Reformed Psychology Of Human Relations In Business: Part Ii, John Van Til

Pro Rege

No abstract provided.

The Alpl Gene Variant Project: Results Of The First 100 Reclassified Variants., Mariam R. Farman, Theodora Malli, Catherine Rehder, Gerald Webersinke, Cheryl Rockman-Greenberg, Kathryn Dahir, Gabriel Á. Martos-Moreno, Agnès Linglart, Keiichi Ozono, Lothar Seefried, Guillermo Del Angel, Francesca Barbazza, Sara Shojaei, Jessica Ebner-Jahn, Florian Högler, Erica B. Nading, Erin Huggins, Eric T. Rush, Ahmed El-Gazzar, Josephine T. Tauer, Priya S. Kishnani, Wolfgang Högler

Manuscripts, Articles, Book Chapters and Other Papers

Hypophosphatasia (HPP) is an inherited disorder that affects bone and tooth mineralization, among other body systems. HPP is caused by pathogenic variants in the alkaline phosphatase-liver (ALPL) gene, which encodes tissue nonspecific alkaline phosphatase. One major challenge in diagnosing HPP is interpreting variant of uncertain significance (VUS), which can create uncertainty for patients and healthcare professionals, leading to delays in diagnosis and treatment or incorrect diagnoses. Since February 2021, the ALPLgene variant consortium has reclassified 100 VUS using adjusted American College of Medical Genetics/Association for Molecular Pathology criteria. Of these, 11 were reclassified as pathogenic, 62 as …

A Climatological Analysis Of Drought And Flood In California, Kristen Faith Coston

Masters Theses

This research is investigating the climate states that produce droughts and floods and seeks to explain how a sudden shift from persistent drought to drought-alleviating flood is possible. Objectives include investigating how drought and flood in California are influenced by temperature and climate patterns, whether there are any correlation between climate/ocean indices and the Standardized Precipitation Index (SPI), and whether Atmospheric Rivers (ARS) are influenced by certain atmospheric/oceanic states.

All data is collected for 41 years, between 1983 and 2024. The SPI dataset is obtained by coding to filter for the mean value of all pixels in Sacramento County. Monthly …

Enhancing Autonomous Vehicle Resilience Through Engineering Requirements And Snow-Adaptive Lane Detection, Alexandra Marie Masterson

Masters Theses

This thesis investigates two distinct but interrelated challenges in the development of resilient autonomous vehicle (AV) systems: the formalization of engineering requirements for AV perception subsystems and the enhancement of visual lane detection under snow-covered road conditions. In the first study, field experiments were conducted using a campus-deployed autonomous research vehicle to evaluate the impacts of perception related failures including GPS outages, HD map inconsistencies, and weather interference—on vehicle operation. These findings were used to develop a set of qualitative engineering requirements that promote AV resilience through proactive design. In the second study, a custom snow-focused lane detection dataset was …

Lost And Found: The Forgotten Origins Of The “Cruel And Unusual Punishments” Prohibition, John D. Bessler

Articles

The U.S. Supreme Court and legal scholars have long traced the origins of the Eighth Amendment’s prohibition against “cruel and unusual punishments” to the English Declaration of Rights, codified as the English Bill of Rights (1689). The English Declaration of Rights recited that, in King James II’s reign, “illegal and cruel punishments” had been “inflicted,” with its tenth clause then declaring in hortatory fashion: “That excessive bail ought not to be required, nor excessive fines imposed, nor cruel and unusual punishments inflicted.” The prohibitions against excessive bail and excessive fines and the final phrase—“nor cruel and unusual punishments inflicted”—were later …

Third-Party Funding Of Patent Litigation: Problems And Solutions, Korok Ray, Adam Olson

Utah Law Review

This Article documents the rise of third-party funding in patent litigation. We track funding sources for patent lawsuits in the United States from 2002 to 2021, which show an increase in cases and percentage funded by third parties. While we cannot say third-party funding increased patent litigation, we can observe the correlation. The use of the champerty doctrine by patent trolls distorts the marketplace and causes frivolous litigation.

The secondary patent market created a robust litigation market in which non-practicing entities (NPEs) can buy from innovators and sue defendants. Capital investments bet on litigation, hoping for a return without interest …

In Vitro Evaluation Of A Novel Computationally Designed Anticancer Peptide In Ovarian Cancer Cell Models, Basma A. Shaala

Theses and Dissertations

Ovarian cancer remains one of the leading causes of cancer-related mortality among

women, highlighting the need for novel therapeutic agents with improved selectivity and

reduced toxicity. Anticancer peptides (ACPs) have emerged as promising candidates

due to their ability to selectively target cancer cells. In this study, the anticancer activity

of a computationally designed ACP was evaluated in vitro using the SKOV-3 ovarian

cancer cell line, with HEK cells employed as a non-cancerous control.

Cell viability was assessed using the MTT assay, and cytotoxicity was further confirmed

by the trypan blue exclusion method. Apoptosis and necrosis were analyzed using

Annexin V-FITC/Propidium …

The Role Of Swarm Intelligence Systems In Shaping Urban Development Policies, Sudaff Mohammed, Wahda Shuker Al-Hinkawi, Nada Abdulmueen Hasan

Iraqi Journal of Architecture and Planning

Swarm intelligence is a nature-inspired complex system that draws from the behaviours of social creatures such as ants and birds. This system functions through simple behavioural rules enacted by autonomous, intelligent agents. Existing literature indicates that swarm intelligence possesses a wide range of principles and characteristics derived from the theories of Biomimicry, complex adaptive systems, and parametric and generative design. While the previous studies have intensively addressed the computational aspects of intelligence, a comprehensive conceptual framework is essential for analysing complex urban forms and structures. Therefore, this research develops and applies a conceptual model of swarm intelligence by examining several …

Advancing Fake News Detection With Graph Neural Network And Deep Learning, Haji Gul, Feras Al-Obeidat, Muhammad Wasim, Adnan Amin, Fernando Moreira

All Works

In the modern era of digital technology, the rapid distribution of news via social media platforms substantially contributes to the propagation of false information, presenting challenges in upholding the accuracy and reliability of information. This study presents an updated approach that utilizes graph neural networks (GNNs) alongside with advanced deep learning techniques to improve the identification of false information. In contrast to traditional approaches that primarily rely on analyzing text and assessing the credibility of sources, our methodology utilizes the structural information of news propagation networks. This allows for a detailed comprehension of the interconnections and patterns that are indicative …

A Novel Fractional Order Model For Analyzing Counterterrorism Operations And Mitigating Extremism, Mutaz Mohammad, Isa Abdullahi Baba, Evren Hincal, Fathalla A. Rihan

All Works

This study examines the profound impact of terrorism on individuals and society by developing a fractional-order mathematical model to analyze and enhance counterterrorism efforts. The model accounts for the persistent and complex nature of extremist behavior, particularly emphasizing the importance of preventing violent extremism before it escalates into terrorism. Real-world data on terrorist activities in Nigeria – specifically from the Boko Haram insurgency – was used to calibrate and validate the model, ensuring its relevance and accuracy. The model reveals that the basic reproduction number (R0) plays a decisive role in determining the long-term success of counterterrorism strategies. Numerical simulations …

Extracellular Matrix Repair And Organization Of Chronic Infected Diabetic Wounds Treated With Methacrylated Chitosan-Based Hydrogels, Nic D. Leipzig, Shahrzad Abri, Hannah A. Durr, Samuel D. Salinas

University Research

Diabetic foot ulcers (DFUs) are a multifactorial medical problem that require multifaceted approaches for effective healing. Most research on DFU healing has concentrated on promoting wound closure, with less emphasis on the quality of repaired tissue. This is problematic, however, since quality of the repaired tissues can have potential to improve wound healing outcomes and limit re-ulceration. If more functionally active dermis replaces the lost tissue, this can effectively maximize strength, organization, and overall structure of the plantar surface. Additionally, DFUs commonly show multi-strain infection, which further exacerbates the non-healing status of these wounds. Treatment of chronic wounds can be …

The Benefits And Pitfalls Of Public Private Partnerships: Case Study Of The Suez Canal Container Terminal, Egypt, Magda Elswesy

Theses and Dissertations

The study explores the public-private partnerships (PPPs) in constructing, managing, and operating container terminals in Egypt. It examines the benefits the public sector gains from such collaborations and the pitfalls that can be mitigated to foster more effective institutional cooperation. The study specifically focuses on enhancing Egypt's marine container terminals through these partnerships, emphasizing the potential use of growing technology to enable equipment automation. It also highlights concerns regarding the risk of mismanagement of Egyptian terminals, arising from insufficient expected volume to ensure appropriate profitability, especially with the opening of new terminals. The study adopts a qualitative methodology and presents …

Load Balancing In Mobile Networks Using Deep Reinforcement Learning And Traffic Prediction, Shorouk Raafat Mokhtar Abouamasha

Theses and Dissertations

Wireless communication networks are advancing at a rapid pace, driven by various challenges and ambitious goals. This rapid growth is driven by a range of applications, including technologies like the Internet of Things (IoT), as well as innovations in smart cities, autonomous vehicles, and more. Different applications demand specific performance criteria such as high data throughput, low latency, robust reliability, and efficient energy usage. In this thesis, we investigate two enhancements that can be adopted in wireless networks to tackle the challenges of resource optimization and network management. The motivation behind this is the fact that future networks will face …

Meta-Learning Hyperparameters For Foundation Model Adaptation In Remote-Sensing Imagery, Zichen Tian, Yaoyao Liu, Qianru Sun

Research Collection School Of Computing and Information Systems

Training large foundation models of remote-sensing (RS) images is almost impossible due to the limited and long-tailed data problems. Fine-tuning natural image pre-trained models on RS images is a straightforward solution. To reduce computational costs and improve performance on tail classes, existing methods apply parameter-efficient fine-tuning (PEFT) techniques, such as LoRA and AdaptFormer. However, we observe that fixed hyperparameters -- such as intra-layer positions, layer depth, and scaling factors, can considerably hinder PEFT performance, as fine-tuning on RS images proves highly sensitive to these settings. To address this, we propose MetaPEFT, a method incorporating adaptive scalers that dynamically adjust module …

Chatgpt’S Performance Evaluation In Spreadsheets Modeling To Inform Assessments Redesign, Michelle L. F. Cheong

Research Collection School Of Computing and Information Systems

Background: Increasingly, students are using ChatGPT to assist them in learning and even completing their assessments, raising concerns of academic integrity and loss of critical thinking skills. Many articles suggested educators to redesign assessments which are more “Generative-AI-resistant” and to focus on assessing students on higher order thinking skills. However, there is a lack of articles that attempt to quantify assessments at different cognitive levels to provide empirical study insights on ChatGPT’s performance at different levels, which will affect how educators redesign their assessments.Objectives: Educators need new information on how well ChatGPT performs to redesign future assessments to assess their …

Alayadb: The Data Foundation For Efficient And Effective Long-Context Llm Inference, Yangshen Deng, Zhengxin You, Long Xiang, Qilong Li, Peiqi Yuan, Zhaoyang Hong, Yitao Zheng, Wanting Li, Runzhong Li, Haotian Liu, Kyriakos Mouratidis, Man Lung Yiu, Huan Li, Qiaomu Shen, Rui Mao, Bo Tang

Research Collection School Of Computing and Information Systems

AlayaDB is a cutting-edge vector database system natively architected for efficient and effective long-context inference for Large Language Models (LLMs) at AlayaDB AI. Specifically, it decouples the KV cache and attention computation from the LLM inference systems, and encapsulates them into a novel vector database system. For the Model as a Service providers (MaaS), AlayaDB consumes fewer hardware resources and offers higher generation quality for various workloads with different kinds of Service Level Objectives (SLOs), when compared with the existing alternative solutions (e.g., KV cache disaggregation, retrieval-based sparse attention). The crux of AlayaDB is that it abstracts the attention computation …

Contested: Consistency-Aided Tested Code Generation With Llm, Jinhao Dong, Jun Sun, Wenjie Zhang, Jinsong Dong, Dan Hao

Research Collection School Of Computing and Information Systems

Recent advancements in large language models (LLMs) have significantly improved code generation, which generates code snippets automatically based on natural language requirements. Despite achieving state-of-the-art performance, LLMs often struggle to generate accurate and reliable code, requiring developers to spend substantial effort debugging and evaluating the generated output. Researchers have proposed leveraging Consistency to select code that passes more tests (inter-consistency) and demonstrates consistent behavior across more counterparts (intra-consistency). However, since the tests themselves are also generated by LLMs, relying on majority voting based on incorrect tests leads to unreliable results. To address this, we propose a lightweight interaction framework that …

Reaccept: Automated Co-Evolution Of Production And Test Code Based On Dynamic Validation And Large Language Models, Jianlei Chi, Xiaotian Wang, Yuhan Huang, Lechen Yu, Di Cui, Jianguo Sun, Jun Sun

Research Collection School Of Computing and Information Systems

Synchronizing production and test code, known as PT co-evolution, is critical for software quality. Given the significant manual effort involved, researchers have tried automating PT co-evolution using predefined heuristics and machine learning models. However, existing solutions are still incomplete. Most approaches only detect and flag obsolete test cases, leaving developers to manually update them. Meanwhile, existing solutions may suffer from low accuracy, especially when applied to real-world software projects. In this paper, we propose ReAccept, a novel approach leveraging large language models (LLMs), retrievalaugmented generation (RAG), and dynamic validation to fully automate PT co-evolution with high accuracy. ReAccept employs an …

On-Demand Scenario Generation For Testing Automated Driving Systems, Songyang Yan, Xiaodong Zhang, Kunkun Hao, Haojie Xin, Yonggang Luo, Jucheng Yang, Ming Fan, Chao Yang, Jun Sun, Zijiang Yang

Research Collection School Of Computing and Information Systems

The safety and reliability of Automated Driving Systems (ADS) are paramount, necessitating rigorous testing methodologies to uncover potential failures before deployment. Traditional testing approaches often prioritize either natural scenario sampling or safety-critical scenario generation, resulting in overly simplistic or unrealistic hazardous tests. In practice, the demand for natural scenarios (e.g., when evaluating the ADS's reliability in real-world conditions), critical scenarios (e.g., when evaluating safety in critical situations), or somewhere in between (e.g., when testing the ADS in regions with less civilized drivers) varies depending on the testing objectives. To address this issue, we propose the On-demand Scenario Generation (OSG) Framework, …

A Comprehensive Study Of Oop-Related Bugs In C++ Compilers, Bo Wang, Chong Chen, Junjie Chen, Bowen Xu, Chen Ye, Youfang Lin, Guoliang Dong, Jun Sun

Research Collection School Of Computing and Information Systems

Modern C++, a programming language characterized by its extensive use of object-oriented programming (OOP) features, is widely used for system programming. However, C++ compilers often struggle to correctly handle these sophisticated OOP features, resulting in numerous high-profile compiler bugs that can lead to crashes or miscompilation. Despite the significance of OOP-related bugs, existing studies largely overlook OOP features, hindering their ability to discover such bugs. To assist both compiler fuzzer designers and compiler developers, we conduct a comprehensive study of the compiler bugs caused by incorrectly handling C++ OOP-related features. First, we systematically extract 788 OOP-related C++ compiler bugs from …

Moditector: Module-Directed Testing For Autonomous Driving Systems, Renzhi Wang, Mingfei Cheng, Xiaofei Xie, Yuan Zhou, Lei Ma

Research Collection School Of Computing and Information Systems

Testing Autonomous Driving Systems (ADSs) is crucial for ensuring their safety, reliability, and performance. Despite numerous testing methods available that can generate diverse and challenging scenarios to uncover potential vulnerabilities, these methods often treat ADS as a black-box, primarily focusing on identifying system-level failures like collisions or near-misses without pinpointing the specific modules responsible for these failures. This lack of root causes understanding for the failures hinders effective debugging and subsequent system repair. Furthermore, current approaches often fall short in generating violations that adequately test the individual modules of an ADS from a system-level perspective, such as perception, prediction, planning, …

Lessons Learned From Sandboxing, Piloting And Policy Experimentation With Ai And Other Digital Initiatives: Part 2, Ten In-Depth Interviews, Steven M. Miller

Research Collection School Of Computing and Information Systems

This report, "Lessons Learned from Sandboxing, Piloting and Policy Experimentation with AI and Other Digital Initiatives," captures insights and experiences from project experts involved in recent digital innovation initiatives with the governments of Bangladesh, Maldives, and Kazakhstan, and from project experts actively involved with the use of AI for delivering government digital services in the EU, New Zealand, Rwanda, Singapore, United States, and Uzbekistan. The ten in-depth interview write-ups produced from these nine different country settings provide a small but highly informative sample of rich descriptions of some of the important realities, approaches, nuances, issues and challenges related to testing …