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Electronic Book Acquisition Strategies In Academic Libraries: A Review Of The Literature, Rachel E. Scott, Michael A. Arthur Apr 2026

Electronic Book Acquisition Strategies In Academic Libraries: A Review Of The Literature, Rachel E. Scott, Michael A. Arthur

Faculty and Staff Publications – Milner Library

Electronic book (e-book) acquisition models have evolved over the decades they have been available to library customers. This review leverages findings from scholarly literature to document the proliferation and evolution of e-book acquisitions models, their strengths and weaknesses in various contexts, and their role in the collection development strategies of academic libraries. From firm orders and subscription packages to demand-driven and evidence-based acquisitions, engagement with e-book acquisitions models varies considerably based on factors such as library budget and staffing, institutional curriculum and programs, consortial affiliations, support for textbook affordability initiatives, and COVID-19 responses. The findings from this literature review suggest …

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State: The Magazine Of Illinois State University, Spring 2026, Illinois State University, University Marketing And Communications Apr 2026

State: The Magazine Of Illinois State University, Spring 2026, Illinois State University, University Marketing And Communications

State: The Magazine of Illinois State University (1999-present)

Illinois State University alumni magazine

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Promoting Positive Youth Development With Adolescent Boys In Uk Schools: A Theory-Driven Evaluation Of The “Becoming A Man” Programme, Finlay Green, Cristina Preece, Kate Allen, Sean Manzi, Julia Mannes, Lynne Callaghan, Vashti Berry, Ediane Santana De Lima, Amy Woodburn, Tim Hobbs, Julie Harris, Nick Axford Apr 2026

Promoting Positive Youth Development With Adolescent Boys In Uk Schools: A Theory-Driven Evaluation Of The “Becoming A Man” Programme, Finlay Green, Cristina Preece, Kate Allen, Sean Manzi, Julia Mannes, Lynne Callaghan, Vashti Berry, Ediane Santana De Lima, Amy Woodburn, Tim Hobbs, Julie Harris, Nick Axford

Peninsula Medical School

Youth violence, including gender-based violence, is a major public health issue in the UK, yet evidence on effective interventions in the UK remains limited. Becoming a Man (BAM) is a two-year school-based positive youth development programme for adolescent boys, developed in Chicago, US, where two RCTs found reduced violent crime arrests and improved academic engagement. This study evaluated BAM’s potential in the UK using a theory-driven design (no comparison group). 97 boys aged 12–14 years (66% Black/Black British) in three London schools enrolled in BAM. Data sources included: implementation records (recruitment, attendance, adherence, quality, youth socio-demographics); school data (attendance, exclusions, …

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Evaluating The Patient Journey Through Integrated Mental Health Services Using Routinely Collected Data: Utility Of The Dialog Patient-Reported Outcome And Experience Measure, Stuart G. Spicer, Rahul Bhattacharya, Katelyn Smalley, Akshith Shetty, Paul Sharpe, Richard Byng Apr 2026

Evaluating The Patient Journey Through Integrated Mental Health Services Using Routinely Collected Data: Utility Of The Dialog Patient-Reported Outcome And Experience Measure, Stuart G. Spicer, Rahul Bhattacharya, Katelyn Smalley, Akshith Shetty, Paul Sharpe, Richard Byng

Peninsula Medical School

Aims and method DIALOG is a patient-reported outcome and experience measure. We analysed anonymised DIALOG scores routinely collected from East London NHS Foundation Trust. We aimed to (a) examine changes in DIALOG scores through the patient journey (‘assessment’, ‘review’ and ‘discharge’); and (b) assess the impact of community mental health (CMH) transformation by comparing pre- and post-DIALOG scores. We analysed 11 198 DIALOG scores from 5007 patients in 2018–2019 and 2021–2022. Results DIALOG scores improved across treatment stages in both years. There was no clear difference pre- and post-CMH transformation, although in 2021–2022 there were lower satisfaction scores at referral. …

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Sounding W. B. Yeats’S “Cuchulain Comforted”, David Sergeant Apr 2026

Sounding W. B. Yeats’S “Cuchulain Comforted”, David Sergeant

School of Law, Humanities and Social Sciences

No abstract provided.

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Evidence Base To Inform Health Service Configuration For Abortion Provision: The Sacha (Shaping Abortion For Change) Multi-Component Study, Kaye Wellings, Rebecca S. French, Annette Aronsson, Paula Baraitser, Sharon Cameron, Caroline Free, Louise Keogh, Maria Lewandowska, Patricia Lohr, Rebecca Meiksin, Ona Mccarthy, Clare Murphy, Wendy Norman, Melissa Palmer, Jennifer Reiter, Natasha Salaria, Rachel Scott, Jill Shawe, Sally Sheldon, Geoff Wong Apr 2026

Evidence Base To Inform Health Service Configuration For Abortion Provision: The Sacha (Shaping Abortion For Change) Multi-Component Study, Kaye Wellings, Rebecca S. French, Annette Aronsson, Paula Baraitser, Sharon Cameron, Caroline Free, Louise Keogh, Maria Lewandowska, Patricia Lohr, Rebecca Meiksin, Ona Mccarthy, Clare Murphy, Wendy Norman, Melissa Palmer, Jennifer Reiter, Natasha Salaria, Rachel Scott, Jill Shawe, Sally Sheldon, Geoff Wong

School of Nursing and Midwifery

Background: Significant changes to the nature and context of abortion provision are taking place in the United Kingdom. Empirical evidence is needed to guide efforts to respond to these changes. Objective(s): To provide an evidence base to inform optimal configuration of health services and systems in response to current and future changes in abortion provision in the UK. Design and methods: Observational study comprising five integrated components: (1) a realist review to generate evidence to guide optimal abortion provision and a scoping review of interventions aimed at preparing non-specialist health professionals to provide abortion care and support; (2) country-based case studies identifying transferable …

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A Dataset Of Precipitate-Containing Multi-Principal Element Alloys, Anshu Raj, Xin Wang, Matthew Luebbe, Haiming Wen, Kun Lu, Shuozhi Xu Apr 2026

A Dataset Of Precipitate-Containing Multi-Principal Element Alloys, Anshu Raj, Xin Wang, Matthew Luebbe, Haiming Wen, Kun Lu, Shuozhi Xu

Materials Science and Engineering Faculty Research & Creative Works

We report a curated dataset that brings together composition, processing conditions, microstructural details, and mechanical properties for 396 combinations of alloy composition and processing condition drawn from 100 peer-reviewed research articles on precipitate-containing multi-principal element alloys (MPEAs). The dataset was created by first utilizing a generative large language model for information extraction, followed by expert review to ensure accurate recovery of materials data. Compositional information was taken directly from tables and text, while processing routes — including homogenization, rolling, recrystallization, and aging — were converted into uniform temperature and time metrics. Microstructural descriptors, including precipitate phases and sizes, were consolidated …

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Ac Magnetic Measurements With A Self-Oscillating Lc Circuit And Its Application To University Education, Harshit Agarwal, Oleksandra Uralska, Jasmin Billingsley, Maxim Yamilov, Hyunsoo Kim Apr 2026

Ac Magnetic Measurements With A Self-Oscillating Lc Circuit And Its Application To University Education, Harshit Agarwal, Oleksandra Uralska, Jasmin Billingsley, Maxim Yamilov, Hyunsoo Kim

Physics Faculty Research & Creative Works

Editor's Note: This paper is a welcome tutorial on a technique for AC magnetometry, allowing the measurement of a sample's magnetic susceptibility with considerable sensitivity. The authors present a low-cost setup based on an LC self-oscillator circuit, which has an operating frequency that is rather sensitive to the susceptibility of a sample introduced within its inductor. After characterizing the performance of the circuit, data taken on a high-temperature superconducting sample are presented, demonstrating how the samples superconducting transition can be detected by this noncontact magnetic method, independent of the usual resistivity-based detection. This project will be of interest to instructors …

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Corrigendum To “Advanced Techniques In Quartz Wafer Precision Processing: Stealth Dicing Based On Filament-Induced Laser Machining” [Opt. Laser Technol. 171 (2024) 110474] (Optics And Laser Technology (2024) 171, (S0030399223013671), (10.1016/J.Optlastec.2023.110474)), Yun Wang, Yutang Dai, Farhan Mumtaz, Kaiyan Luo Apr 2026

Corrigendum To “Advanced Techniques In Quartz Wafer Precision Processing: Stealth Dicing Based On Filament-Induced Laser Machining” [Opt. Laser Technol. 171 (2024) 110474] (Optics And Laser Technology (2024) 171, (S0030399223013671), (10.1016/J.Optlastec.2023.110474)), Yun Wang, Yutang Dai, Farhan Mumtaz, Kaiyan Luo

Electrical and Computer Engineering Faculty Research & Creative Works

The authors regret, that the affiliation for author Yun Wang was incomplete. To accurately reflect both the author's academic affiliation and the research platform where the work was conducted. The correct affiliation for Yun Wang is updated as above. The authors would like to apologize for any inconvenience caused.

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Weakly Supervised Video Anomaly Detection And Localization With Spatio-Temporal Prompts, Peng Wu, Xuerong Zhou, Guansong Pang, Zhiwei Yang, Qingsen Yan, Peng Wang, Yanning Zhang Apr 2026

Weakly Supervised Video Anomaly Detection And Localization With Spatio-Temporal Prompts, Peng Wu, Xuerong Zhou, Guansong Pang, Zhiwei Yang, Qingsen Yan, Peng Wang, Yanning Zhang

Research Collection School Of Computing and Information Systems

Current weakly supervised video anomaly detection (WSVAD) task aims to achieve frame-level anomalous event detection with only coarse video-level annotations available. Existing works typically involve extracting global features from full-resolution video frames and training frame-level classifiers to detect anomalies in the temporal dimension. However, most anomalous events tend to occur in localized spatial regions rather than the entire video frames, which implies existing frame-level feature based works may be misled by the dominant background information and lack the interpretation of the detected anomalies. To address this dilemma, this paper introduces a novel method called STPrompt that learns spatio-temporal prompt embeddings …

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Portrait Shadow Removal Via Self-Exemplar Illumination Equalization, Qian Huang, Cheng Xu, Guiqing Li, Ziheng Wu, Shengxin Liu, Shengfeng He Apr 2026

Portrait Shadow Removal Via Self-Exemplar Illumination Equalization, Qian Huang, Cheng Xu, Guiqing Li, Ziheng Wu, Shengxin Liu, Shengfeng He

Research Collection School Of Computing and Information Systems

We introduce the Self-Exemplar Illumination Equalization Network, designed specifically for effective portrait shadow removal. The core idea of our method is that partially shadowed portraits can find ideal exemplars within their non-shadowed facial regions. Rather than directly fusing two distinct classes of facial features, our approach utilizes non-shadowed regions as an illumination indicator to equalize the shadowed regions, generating deshadowed results without boundary-merging artifacts. Our network comprises cascaded Self-Exemplar Illumination Equalization Blocks (SExmBlock), each containing two modules: a self-exemplar feature matching module and a feature-level illumination rectification module. The former identifies and applies internal illumination exemplars to shadowed areas, producing …

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Causality-Aware Safety Testing For Autonomous Driving Systems, Wenbing Tang, Mingfei Cheng, Renzhi Wang, Yuan Zhou, Chengwei Liu, Yang Liu, Zuohua Ding Apr 2026

Causality-Aware Safety Testing For Autonomous Driving Systems, Wenbing Tang, Mingfei Cheng, Renzhi Wang, Yuan Zhou, Chengwei Liu, Yang Liu, Zuohua Ding

Research Collection School Of Computing and Information Systems

Simulation-based testing is essential for evaluating the safety of Autonomous Driving Systems (ADSs). Comprehensive evaluation requires testing across diverse scenarios that can trigger various types of violations under different conditions. While existing methods typically focus on individual diversity metrics, such as input scenarios, ADS-generated motion commands, and system violations, they often fail to capture the complex interrelationships among these elements. For instance, identical motion commands can produce different collision risks in varying scenes, and the same collision may result from different commands under different scenarios. This oversight leads to gaps in testing coverage, potentially missing critical issues in the ADS …

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Developing Blockchain-Based Transparent E-Commerce Solutions For Danish Smes To Promote Sustainable Design Products, Somnath Mazumdar, Robert John Kauffman, Thomas Jensen, Raghava Rao Mukkamala, Jan Damsgaard Apr 2026

Developing Blockchain-Based Transparent E-Commerce Solutions For Danish Smes To Promote Sustainable Design Products, Somnath Mazumdar, Robert John Kauffman, Thomas Jensen, Raghava Rao Mukkamala, Jan Damsgaard

Research Collection School Of Computing and Information Systems

Typically, a firm's objectives include establishing consumer confidence, preserving its brand image, and developing a profitable business strategy. Consumers now place greater emphasis on the sustainability and transparency of their purchases. Given environmental and economic limitations, firms are often compelled to implement sustainable production methods. This is especially a struggle for small- and medium-sized enterprises (SMEs) with new technology, as it can increase their risk of failure. This has led to a problem for consumers, who must cross-check the sustainability-related claims of the firms they buy from. This is challenging because of limited process trace data and restricted enforcement capabilities. …

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Distributional Vision-Language Alignment By Cauchy-Schwarz Divergence, Wenzhe Yin, Zehao Xiao, Pan Zhou, Shujian Yu, Jiayi Shen, Jan-Jakob Sonke, Stratis Gavves Apr 2026

Distributional Vision-Language Alignment By Cauchy-Schwarz Divergence, Wenzhe Yin, Zehao Xiao, Pan Zhou, Shujian Yu, Jiayi Shen, Jan-Jakob Sonke, Stratis Gavves

Research Collection School Of Computing and Information Systems

Vision-language alignment is crucial for various downstream tasks such as cross-modal generation and retrieval. Previous multimodal approaches like CLIP utilize InfoNCE to maximize mutual information, primarily aligning pairwise samples across modalities while overlooking distributional differences. In addition, InfoNCE has inherent conflict in terms of alignment and uniformity in multimodality, leading to suboptimal alignment with modality gaps. To overcome the limitations, we propose CS-Aligner, a novel framework that performs distributional vision-language alignment by integrating Cauchy-Schwarz (CS) divergence with mutual information. CS-Aligner captures both the global distribution information of each modality and the pairwise semantic relationships. We find that the CS divergence …

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Managing Reproducibility Debt In Scientific Software: A Practical Framework, Zara Hassan, Christoph Treude, Graham Williams, Michael Norrish, Alex Potanin Apr 2026

Managing Reproducibility Debt In Scientific Software: A Practical Framework, Zara Hassan, Christoph Treude, Graham Williams, Michael Norrish, Alex Potanin

Research Collection School Of Computing and Information Systems

Scientific software includes end-user applications, modelling tools, research software for publications, and production systems for real users. It plays a key role across various scientific disciplines by enabling large-scale computation, simulation, and data analysis. Unlike commercial software, scientific software is often developed in dynamic research environments with limited engineering practices, documentation, or testing. This makes it fragile and difficult to reproduce results, even when code and data are available, conditions in which Reproducibility Debt (RpD) accumulates. This paper presents the Reproducibility Debt Management Framework (RpD-MF), which is grounded in evidence from a systematic literature review, practitioner interviews, and a global …

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Teamwise: Exploring Virtually Embodied Ai Facilitation For Video-Based Team Onboarding, Venkata Akhila Rani Obilisetty, Mikkeline Elleby, Anthony Tang, April Yi Wang Apr 2026

Teamwise: Exploring Virtually Embodied Ai Facilitation For Video-Based Team Onboarding, Venkata Akhila Rani Obilisetty, Mikkeline Elleby, Anthony Tang, April Yi Wang

Research Collection School Of Computing and Information Systems

AI-mediated facilitation has emerged as a scalable approach to supporting onboarding and coordination in newly formed remote teams, yet existing systems are predominantly text-based. To explore how video-based, virtually embodied AI facilitators shape team experiences, we present TeamWise, which joins video-based onboarding meetings as an on-screen avatar. TeamWise guides teams through a structured facilitation flow of low-stakes activities to foster rapport, mutual awareness, and shared identity. While the overall sequence of activities and facilitation goals is predefined, the facilitator’s turn-by-turn utterances are generated dynamically by an LLM in response to participant input. We conducted a formative study of TeamWise to …

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Patchgpt: Multi-Agent Patch Backporting Without Model Fine-Tuning, Ye Liu, Ruidong Han, Chengyan Ma, Yuqing Niu, David Lo Apr 2026

Patchgpt: Multi-Agent Patch Backporting Without Model Fine-Tuning, Ye Liu, Ruidong Han, Chengyan Ma, Yuqing Niu, David Lo

Research Collection School Of Computing and Information Systems

Patch backporting is crucial and prevalent in the maintenance of modern open-source software such as Linux kernels and forked repositories. However, porting patches across program versions remains a challenging problem due to the complexity of synergizing diverse patches with divergent program versions. In this paper, we propose PatchGPT, an agentic patch backporting framework for fine-grained patch generation. PatchGPT encompasses three agents: Miner for decomposing a sequence of atomic change steps as the original patch plan, Adapter for adapting the patch plan, and Executor for executing the adapted patch plan according to predefined change semantics. We conduct experiments on the PPatHF’s …

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Understanding Codebase Like A Professional! Human-Ai Collaboration For Code Comprehension, Jie Gao, Yue Xue, Xiaofei Xie, Junming Cao, Soemin Thant, Erika Lee, Bowen Xu Apr 2026

Understanding Codebase Like A Professional! Human-Ai Collaboration For Code Comprehension, Jie Gao, Yue Xue, Xiaofei Xie, Junming Cao, Soemin Thant, Erika Lee, Bowen Xu

Research Collection School Of Computing and Information Systems

Understanding an unfamiliar codebase is an essential task for developers in various scenarios, such as during the onboarding process. Especially when the codebase is large and time is limited, achieving a decent level of comprehension remains challenging for both experienced and novice developers, even with the assistance of large language models (LLMs). Existing studies have shown that LLMs often fail to support users in understanding code structures or to provide user-centered, adaptive, and dynamic assistance in real-world settings.To address this, we propose learning from the perspective of a unique role, code auditors, whose work often requires them to quickly familiarize …

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Intelligent Deep Learning-Based Sign Language Translation System, Nada Rasem Shahin Apr 2026

Intelligent Deep Learning-Based Sign Language Translation System, Nada Rasem Shahin

Dissertations

The Deaf and Hard of Hearing (DHH) community uses sign language as a primary means of communication. However, the shortage of sign language interpreters and the existence of hundreds of sign languages limit accessibility and inclusion. Sign Language Machine Translation (SLMT) systems present a promising solution for bridging the communication gap between the DHH and the hearing individuals, supporting inclusive societies. In smart cities, such systems play an essential role in improving the quality of life on a community level. In particular, as the population’s well-being is critical, developing intelligent assistive technologies, such as SLMT systems, is necessary to provide …

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Utilizing And Optimizing Forecasting Models For Nursing Demand: A Narrative Review, Kalpana Singh, Liyan Ajit D. Souza, Ananth Nazarene, Amane Mounia, Mahmoud Abdelwahab Khedr, Ahmad Mousa, Rebecca Rejo George, Abdulqadir J. Nahwan Apr 2026

Utilizing And Optimizing Forecasting Models For Nursing Demand: A Narrative Review, Kalpana Singh, Liyan Ajit D. Souza, Ananth Nazarene, Amane Mounia, Mahmoud Abdelwahab Khedr, Ahmad Mousa, Rebecca Rejo George, Abdulqadir J. Nahwan

Research outputs 2022 to 2026

Background: Accurately forecasting nursing demand is essential for effective workforce planning in the context of increasing patient volumes and the growing complexity of healthcare systems. Reliable forecasting supports optimal staffing, enhances patient care quality, and reduces operational risks. However, traditional forecasting approaches are increasingly challenged by evolving clinical demands, rising chronic disease burden, and rapid technological advancements. Aim: This narrative review aimed to (1) map existing models used for predicting nursing demand, (2) identify key predictive methodologies, data inputs, and evaluation metrics, and (3) highlight existing gaps and implications for healthcare policy and workforce management. Methods: A comprehensive narrative literature …

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Visual Pattern Mining With Similarity Metrics For Model-Free Trading In The Korean Futures Market, Juhyeon Jang, Jaeyun Kim, David Enke Apr 2026

Visual Pattern Mining With Similarity Metrics For Model-Free Trading In The Korean Futures Market, Juhyeon Jang, Jaeyun Kim, David Enke

Engineering Management and Systems Engineering Faculty Research & Creative Works

The fractal market hypothesis highlights multi-scale dynamics in financial time series and provides a theoretical foundation for pattern-based analysis. This study proposes a model-free visual pattern mining framework that transforms high-frequency market data into image representations to support intelligent decision-making. By converting 1-minute KOSPI200 futures data into candlestick chart and Bollinger band images, the method effectively captures structural patterns and volatility dynamics. The framework applies similarity metrics and Intersection over Union (IoU)-based visual comparison to identify historically similar patterns and generate intelligent trading signals without model training or complex parameter tuning. Experimental results demonstrate that combining visual features of candlestick …

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Dendrimer Nanogels With Built-In Free Radical Scavenging Enable Efficient Topical Delivery Of A Hydrophilic Antioxidant To Restore Lens Redox Balance For Cataract Treatment, Lin Qi, Huari Kou, Anna Chernatynskaya, Da Huang, Vimalin Jeyalatha Mani, Humeyra Karacal, Nuran Ercal, Hu Yang Apr 2026

Dendrimer Nanogels With Built-In Free Radical Scavenging Enable Efficient Topical Delivery Of A Hydrophilic Antioxidant To Restore Lens Redox Balance For Cataract Treatment, Lin Qi, Huari Kou, Anna Chernatynskaya, Da Huang, Vimalin Jeyalatha Mani, Humeyra Karacal, Nuran Ercal, Hu Yang

Chemistry Faculty Research & Creative Works

Cataract is a leading cause of vision impairment worldwide and are primarily caused by oxidative stress that damages and aggregates lens proteins, leading to lens opacification. However, the eye's anatomical barriers limit the penetration and bioavailability of antioxidant therapies. To address this challenge, a dendrimer-based nanogel with a built-in reactive oxygen species (ROS)-scavenging capability developed by us was employed to deliver the antioxidant N-acetylcysteine (NAC) to the lens. NAC was loaded into a generation-5 PEGylated poly(amidoamine) dendrimer (G5-PEG-TK, termed the GPT) nanogel. The resulting NAC-GPT was characterized for its ROS-scavenging activity, bioavailability, and corneal permeability. The efficacy of NAC-GPT was …

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The Territorial Continuum: American Samoa, Criminal Adjudication, And Territorial Administration, Emmanuel Hiram Arnaud Apr 2026

The Territorial Continuum: American Samoa, Criminal Adjudication, And Territorial Administration, Emmanuel Hiram Arnaud

Faculty Scholarship

The standard account of American territorial expansion posits that territorial acquisition moved along a spectrum of sovereignty. The federal government acquired new inhabited land through conquest or purchase, and the Constitution tasked Congress with organizing and administering the new territories until they were ready to become states. That pattern came to an abrupt halt in 1898 when, at the conclusion of the Spanish-American War, the Supreme Court, fearing the extension of citizenship to, and the permanent integration of, non-White populations into the American polity, suddenly pronounced that the Constitution authorized the holding of colonies. The Court thus sentenced new territories, …

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Uncovering Ethical Values In Information Systems Development Methodologies, Zahidah Zulkifli, Noor Hayani Abd Rahim, Tahmid Alam, Fakhrul Hazman Yusoff, Mohammad Masudur Rahman Apr 2026

Uncovering Ethical Values In Information Systems Development Methodologies, Zahidah Zulkifli, Noor Hayani Abd Rahim, Tahmid Alam, Fakhrul Hazman Yusoff, Mohammad Masudur Rahman

Malaysian Journal of Computing (MJoC)

Information system development involves a lot of tools, infrastructures, and humans. The many phases in system development need humans to interact and work with each other to obtain the goal: to complete information system development. These interactions of humans require the right ethics to ensure that the information system development can be successful. For example, ethical leadership is a vital component in determining the success of any project related to information system development in organizations. The aim of this study is to identify the ethical values which are important in information system development methodology phases. This systematic literature review (SLR) …

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Textual Adversarial Example Generation Using Bigram Unigram-Semantic Preservation Optimization Algorithm, Noor Adam Noor Azmi, Haslizatul Fairuz Mohamed Hanum Apr 2026

Textual Adversarial Example Generation Using Bigram Unigram-Semantic Preservation Optimization Algorithm, Noor Adam Noor Azmi, Haslizatul Fairuz Mohamed Hanum

Malaysian Journal of Computing (MJoC)

The vulnerability of Natural Language Processing (NLP) models to adversarial attacks remains a critical challenge in the field of cybersecurity and AI robustness. While deep learning models have achieved high performance in sentiment analysis, they are susceptible to subtle input perturbations that induce misclassification. This study presents the design and practical implementation of a web-based system (Proof of Concept) that automates the generation of textual adversarial examples using the Bigram Unigram-Semantic Preservation Optimization (BU-SPOF) algorithm. Rather than proposing a novel attack algorithm, our primary contribution is the architectural integration of a dual-source candidate generation strategy (WordNet and OpenHowNet) and a …

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Structuring The Notional Imprisonment Period When The Accused Is Unfit To Plead – Abdul Ghufran Bin Abdul Wahid V Public Prosecutor, Abhishek Behera, Aaron Yoong Apr 2026

Structuring The Notional Imprisonment Period When The Accused Is Unfit To Plead – Abdul Ghufran Bin Abdul Wahid V Public Prosecutor, Abhishek Behera, Aaron Yoong

Research Collection Yong Pung How School Of Law

This case comment examines how Abdul Ghufran bin Abdul Wahid v Public Prosecutor [2025] 3 SLR 1572 brings clarity to Singapore’s “fitness to plead” regime by structuring the nominal imprisonment period (“NIP”) as a principled, non-punitive ceiling on confinement for unfit accused persons. It explains the General Division of the High Court’s four-step framework, the elevation of prevention over rehabilitation at the NIP stage, and the constrained role of mental disorders in adjusting the provisional term. It further highlights the decisive influence of psychiatric evidence and explores how the framework mediates between consistency, individualised justice, and public protection.

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Online Safety (Relief And Accountability) Bill: Further Experiments In Balancing Rights And Responsibilities, Siyuan Chen, Zavier Yu Wu, Jie Ting Lee Apr 2026

Online Safety (Relief And Accountability) Bill: Further Experiments In Balancing Rights And Responsibilities, Siyuan Chen, Zavier Yu Wu, Jie Ting Lee

Research Collection Yong Pung How School Of Law

Singapore’s latest legislation to address online harms, the Online Safety (Relief and Accountability) Bill, was passed in Parliament in November 2025. The legislation, which takes a complainant-centric approach, provides the Commissioner of Online Safety a broad range of powers so that timely redress can be given for reports of online harms such as image abuse, sexual harassment, doxxing, and stalking. Various torts that impose duties on administrators and platforms have also been created. Legislation of this nature invariably raises issues about whether an appropriate balance between freedom and responsibility has been struck. This Legislative Comment analyses some of the more …

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Commentary: If You’Re Unhappy At Work, A Hasty Job Change May Not Help, Nick Chiam Apr 2026

Commentary: If You’Re Unhappy At Work, A Hasty Job Change May Not Help, Nick Chiam

Research Collection Yong Pung How School Of Law

Finding joy at work isn’t about having the perfect job, but seeing work as part of the larger story of a life well lived, says SMU lecturer Nick Chiam.

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Powell’S Overland Trip To The Grand Canyon, Daniel Styer Apr 2026

Powell’S Overland Trip To The Grand Canyon, Daniel Styer

Faculty & Staff Scholarship

No abstract provided.

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Hemodialysis Access-Related High-Output Heart Failure: From Mechanisms To Multidisciplinary Management, Chukwuemezie Mamanu, Estefania Oliveros, Yevgeniy Brailovsky Apr 2026

Hemodialysis Access-Related High-Output Heart Failure: From Mechanisms To Multidisciplinary Management, Chukwuemezie Mamanu, Estefania Oliveros, Yevgeniy Brailovsky

Department of Medicine Faculty Papers

No abstract provided.

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