Digital Commons Network^™

Nationalism And Anglo-American Neo-Colonialism In Southeast Asia, 1945-1965, Wen-Qing (Wei Wenqing) Ngoei

Research Collection College of Integrative Studies

It is tempting to treat the United States’ ill-fated military intervention in Vietnam in the 1960s as the desperate final gasp of a moribund Western imperial system. Certainly, scholars have described Washington’s military debacle in Vietnam as the end of America’s “short-lived empire” in Southeast Asia, emblematic of the broader, decisive triumph of Southeast Asian nationalism over western colonialism. This reading of Southeast Asian countries attaining formal independence after 1945, with tacit assumptions that colonialism and nationalism exist in binary opposition, tends to ossify when the region’s history is viewed through the lens of U.S. defeat in Vietnam.

In contrast, …

Seeing Beyond The State: Private Sector-Led Smart City Governance In Bsd City, Indonesia, Prerona Das, Orlando Woods, Lily Kong

Research Collection College of Integrative Studies

In recent decades new cities have sprung up at a rapid pace, aided by private sector funding (Hogan et al., 2012). Within the realm of smart city development, private sector influence over urban governance has substantially increased, particularly through Public-Private Partnerships (PPPs). However, in Indonesia, there is an emerging trend of the private sector exerting significant control over ‘independent’ greenfield smart cities beyond state-led frameworks. This paper develops the idea of seeing beyond the state which involves looking past conventional state-centered approaches to urban governance. It considers instead how power and control are exercised outside or beyond the usual boundaries …

Home And Religion, Emma Alexandra Grimley, Orlando Woods, Lily Kong

Research Collection College of Integrative Studies

This chapter explores how religious practices and identities intersect with the home as both a construct and physical locale and surveys the social science literature on religion in/and the home. We argue that the shifting space-times of religious practice reflect and influence the changeable and porous boundaries between public and private space, the home and beyond the home. This influence is shown by reference to three areas of focus: the home as a private space of and for religion; the use of religion to cross social and spatial boundaries of home; and the reconfiguration of the home in religious practice …

Scenarios For Csrd Scope Amendments - Advancing Reporting Scope While Reducing Further Burden, Andreas Rasche, Theodor Florian Cojoianu, Andreas G. F. Hoepner, Fabiola Schneider

Research Collection College of Integrative Studies

This paper presents calculations related to the CSRD scope criteria which are modified through the Omnibus I Simplification Package. We show how many companies would be in scope of CSRD when considering the criteria suggested by (a) the Commission’s Omnibus proposal, (b) the position adopted by the Council of the EU, and (c) the European Peoples Party (EPP) proposal in the European Parliament. For each of these three “cases” we show the impact of lowering or increasing the employee-related threshold. 1.    Our calculations demonstrate that the number of in-scope companies varies significantly when modifying the employee threshold. We conclude from …

Global Standards And Local Ambitions Across Green Taxonomies: Climate Change Mitigation From The European Union To South Africa, Theodor Florian Cojoianu, Andreas G. F. Hoepner, Ifigeneia Paliampelou, Anh Vu, Dariusz Wojcik

Research Collection College of Integrative Studies

Country-level green finance taxonomy standards have emerged to provide clarity on environmentally-sustainable economic activities to attract investment, protect financial services consumers, and counteract greenwashing. This paper adopts the Global Production and Financial Network (GPFN) approach and analyses factors affecting the climate change mitigation ambition level of the South African Green Finance Taxonomy (RSA GFT) in comparison with the EU taxonomy, which served as a model for South Africa's (RSA) regulators. It accounts for (i) the interplay between EU’s and RSA’s production and financial networks, and (ii) RSA’s willingness to attract European funding for sustainable development. We find that EU private …

Poster Abstract: Field Evaluation Of Body Thermoregulation-Based Dynamic Bedroom Air Temperature Control To Improve Sleep, Wenhao Zhang, Stefano Schiavon, Clayton Miller

Research Collection College of Integrative Studies

Sleep is essential for human health and well-being. Previous lab-based studies have shown that dynamically adjusting bedroom temperature according to body thermoregulation can improve sleep quality and thermal satisfaction. However, such strategies have not been tested in real-world settings, and there is a lack of practical solutions developed for residential buildings. In this work, we test a body thermoregulation-based dynamic air conditioning (AC) control strategy designed for typical Singapore homes and evaluated it in a pilot field deployment. The preliminary findings suggest that the proposed strategy can be successfully implemented in real bedroom settings and may improve sleep outcomes.

Enhancing Urban Energy Modeling: A Case Study Of Data Acquisition, Enrichment, And Evaluation In Berlin, Felix Rehmann, Martín Mosteiro-Romero, Clayton Miller, Rita Streblow

Research Collection College of Integrative Studies

Urban Building Energy Modeling (UBEM) has become a critical tool for developing local heating and cooling plans, as required by the European Union. Despite growing interest, the reproducibility and reliability of UBEM studies remain limited due to data scarcity and workflow complexity. This paper presents a comprehensive framework to evaluate the data pipeline in UBEM, with a particular focus on data acquisition, enrichment, simulation, calibration, and information application. The approach applies three distinct UBEM workflows (CityEnergyAnalyst, DistrictGenerator, and SimStadt) to the Mierendorffinsel district in Berlin, Germany. We compare the based on quantitative performance metrics and qualitative framework criteria. The results …

A Dataset Exploring Urban Comfort Through Novel Wearables And Environmental Surveys, Patrick Chwalek, Sailin Zhong, Nathan Perry, Tianqi Liu, Clayton Miller, Seiied Hamed Alavi, Denis Lalanne, A. Joseph Paradiso

Research Collection College of Integrative Studies

This study presents a comprehensive dataset capturing indoor environmental parameters, physiological responses, and subjective perceptions across three global cities. Utilizing wearable sensors, including smart eyeglasses, and a modified Cozie app, environmental and physiological data were collected, along with pre-screening, onboarding, and recurring surveys. Peripheral cues facilitated participant engagement with micro-EMA surveys, minimizing disruption over a 5-day collection period. The dataset offers insights into urban comfort dynamics, highlighting the interplay between environmental conditions, physiological responses, and subjective perceptions. Researchers can utilize this dataset to deepen their understanding of indoor environmental quality and inform the design of healthier built environments. Access to …

Sustainable Llm Inference For Edge Ai: Evaluating Quantized Llms For Energy Efficiency, Output Accuracy, And Inference Latency, Erik Johanne Husom, Arda Goknil, Merve Astekin, Lwin Khin Shar, Andre Kasen, Sagar Sen, Benedikt Andreas Mithassel, Ahmet Soylu

Research Collection School Of Computing and Information Systems

Deploying Large Language Models (LLMs) on edge devices presents significant challenges due to computational constraints, memory limitations, inference speed, and energy consumption. Model quantization has emerged as a key technique to enable efficient LLM inference by reducing model size and computational overhead. In this study, we conduct a comprehensive analysis of 28 quantized LLMs from the Ollama library, which applies by default Post-Training Quantization (PTQ) and weight-only quantization techniques, deployed on an edge device (Raspberry Pi 4 with 4GB RAM). We evaluate energy efficiency, inference performance, and output accuracy across multiple quantization levels and task types. Models are benchmarked on …

The 10-Year Status Of Pediatric Gastroenterologists' Perception Of Their Roles In The Management Of Childhood Obesity., Sara Karjoo, Senthilkumar Sankararaman, Fotini Tania Mitsinikos, Marwa Abu El Haija, Sheela Mahendra, Ayesha Baig, Ruba A. Abdelhadi, Ruben E. Quiros-Tejeira, Timothy Sentongo

Manuscripts, Articles, Book Chapters and Other Papers

In 2013, a survey of NASPGHAN members on their involvement in managing pediatric obesity revealed that most pediatric gastroenterologists viewed their roles as primarily supportive, focusing on the management of obesity-related gastrointestinal comorbidities. This 10-year follow-up survey, which targeted pediatric gastroenterology programs and practices, found similar perceptions, along with an increased interest in learning about obesity pharmacotherapy. Additionally, most programs and practices reported limited access to dedicated dietitians, a lack of funding, and a desire for greater institutional support for multidisciplinary programs addressing obesity. Notably, none of the funded programs cited philanthropy as a source of funding. These findings underscore …

Iron Supplementation Switches Mode Of Cell Death To Ferroptosis During Acetaminophen-Induced Liver Injury In Mice Rendering It Resistant To N-Acetylcysteine., Olamide B. Adelusi, Aparna Venkatraman, Jephte Y. Akakpo, Anup Ramachandran, Hartmut Jaeschke

Manuscripts, Articles, Book Chapters and Other Papers

Acetaminophen (APAP) overdose can cause liver injury and is the leading cause of acute liver failure in Western countries. Hepatocellular necrosis induced by APAP involves the formation of a reactive metabolite, triggering mitochondrial oxidant stress and peroxynitrite formation. Iron-catalyzed protein nitration is critical for mitochondrial dysfunction and cell death in the absence of lipid peroxidation (LPO). However, co-treatment of APAP and ferrous sulfate aggravated protein nitration and liver injury but also triggered extensive LPO (measured as malondialdehyde and hydroxy eicosatetraenoic acid (HETE) species). The objective of this study was to evaluate whether the aggravated injury under these conditions is caused …

Use Of Osteopathic Manipulation Techniques For Management Of Acute Otitis Media In Pediatric Patients: A Scoping Review., Cory Hyun-Su Kim, Lauren R Mccray, Shaun A Nguyen, Carl Shermetaro, Wayne K Robbins

Ambulatory and Primary Care Articles

OBJECTIVE: To map and summarize the existing literature on the use of osteopathic manipulative techniques (OMT) in the management of acute otitis media (AOM) in pediatric patients, with an emphasis on reported outcomes and identifying gaps in the current evidence.

DATA SOURCES: CINAHL, PubMed, and SCOPUS.

REVIEW METHODS: A comprehensive literature search was conducted across multiple databases following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. Studies were charted and summarized based on key characteristics, including study design, population, types of OMT applied, and reported outcomes on management of AOM and recurrent AOM …

Recommendations From Multi-Disciplinary Professionals For Survivor-Informed And Comprehensive Care For Human Trafficking Survivors, Christina Tsoi, Timothy B. Smith, Elizabeth Cutrer-Párraga, Devan Clayton, Joshua M. Marshall, Jamila Mastny

Faculty Publications

Background: Human trafficking affects millions of people worldwide with multiple adverse outcomes including psychopathology. Although research on human trafficking has become abundant in other academic disciplines (e.g., public health, criminology, social work), healthcare research specific to the mental health treatment of survivors remains limited. Objective: The purpose of this study was to gather recommendations from professionals about mental health treatment of trafficking survivors. Method: Semi-structured interviews were conducted with 21 multidisciplinary professionals working with trafficking survivors. Data were analyzed using qualitative content analysis methodology. Results: An overarching theme derived from the data concerned the recommendation to implement trafficking survivor-informed care, …

Exploring Nursing Students’ Experiences Of Factors Influencing Reflective Practice In Clinical Setting, Wafaa El Zaatari, Imad Maalouf

All Works

Purpose – Reflective practice is crucial in clinical nursing education at a nursing college in Al Ain. This study aims to explore nursing students’ perspectives on reflective practice in a clinical setting. Design/methodology/approach – The study employed an exploratory case study design, using semi-structured interviews to collect data from eight nursing students studying at a nursing college in the UAE. The recorded interviews were transcribed verbatim and manually analysed using thematic analysis. Findings – Three main themes have been extracted, and these are the significance of reflection, facilitating factors and hindering factors. Four sub-themes emerged from the facilitating factors: moral …

Llms Are Bad Judges. So Use A Classifier Instead., Jack Kieffaber, Kimo Gandall, Steven Foster, Kenny Mclaren

SMU Law Review Forum

Large Language Models suffer from prompt variance—meaning they’ll give you totally different legal answers depending on how you phrase your question. Jonathan Choi demonstrated this recently when he asked ChatGPT five legal questions, each rephrased 2,000 times, and watched as the bot spat out different answers every time. When you tell somebody that AI is going to replace the judge, the lawyer, and the legal system in the next twenty years, Choi’s article has become the go-to rebuttal; it’s the crown jewel of the “AI bad” genre.

Choi’s absolutely right that LLM’s are bad judges. And, if every AI was …

Use Of Robotic And Laparoscopic Surgery For Right Colectomies In Rural Areas: Are The Advantages Over Open Surgery Comparable To Those Reported In Urban Centers? An Analysis Using The Healthcare Cost And Utilization Project (Hcup) Michigan Inpatient Sample, Ryan T. Davis, Ibrahim B. Baida, Jacob A. Applegarth, Nathan M. Novotny

Conference Presentation Abstracts

Introduction: Surgical robotics have become more accessible in rural healthcare centers across Michigan, driving a growing demand for clinical outcomes data in these areas. National studies have shown that robotic colectomies reduce postoperative complications compared to open procedures, but data specific to rural settings remain limited. This study aims to compare postoperative complications following open, laparoscopic, and robotic right colectomies in rural Michigan.
Methods: The Healthcare Cost and Utilization Project (HCUP) Michigan inpatient database (2016-2018) was used to analyze postoperative complications after right colectomies in urban and rural hospitals. Complications analyzed included: prolonged ileus, pneumonia, surgical site infection, septicemia, hemorrhage/hematoma, …

Final Draft Report - Mapping Pfas In Groundwater Of The West Plains, Spokane County, Washington, 2023-2025, Chad Pritchard

EWU PFAS Research Collection

Since 2017, per- and polyfluoroalkyl substances (PFAS) have been detected in West Plains groundwater. Sampling conducted by Fairchild Air Force Base (FAFB) and the Environmental Protection Agency (EPA) have measured PFAS concentrations in private wells that exceed drinking water standards. Two known sources of PFAS have been identified on the West Plains: FAFB and Spokane International Airport (SIA). Washington Department of Ecology (Ecology) awarded the City of Medical Lake an area-wide groundwater grant to develop a groundwater model of PFAS contamination in the West Plains, the grant was originally written by Eastern Washington University (EWU) and Spokane County Water Resources …

The Covid-19 Pandemic’S Effects On Older People, Michele Dinman, Morgan Van Vleck

Harvey A. Friedman Center for Aging

The COVID-19 pandemic has had wide ranging effects on people of all ages. In many respects, older people had the same experiences as younger people, but there were some aspects of the pandemic unique to the older population. While COVID-19 cases have been equal among different age groups, older people experienced a greater number of hospitalizations and deaths compared to younger people.

Enhancing Evidence-Based Practice In Publishing Stage, Evelyn Wang

HSLIC Faculty and Staff Instructional Resources

This presentation, delivered at the Evidence-Based Practice Council Monthly Meeting, guides participants through best practices in selecting target journals, evaluating journal quality, reviewing submission guidelines, and understanding open access publishing options. It introduces the JANE tool for journal recommendations, resources for evaluating journal credibility (Think. Check. Submit., DOAJ, Journal Citation Reports), and institutional open access agreements. Consultation and support services provided by HSLIC librarians are highlighted.

Sketch-Sparsenet: Sparse Convolution Framework For Sketch Recognition, Jingru Yang, Jin Wang, Yang Zhou, Guodong Lu, Yu Sun, Huan Yu, Heming Fang, Zhihui Li, Shengfeng He

Research Collection School Of Computing and Information Systems

In free-hand sketch recognition, state-of-the-art methods often struggle to extract spatial features from sketches with sparse distributions, which are characterized by significant blank regions devoid of informative content. To address this challenge, we introduce a novel framework for sketch recognition, termed Sketch-SparseNet. This framework incorporates an advanced convolutional component: the Sketch-Driven Dilated Deformable Block (SD3B). This component excels at extracting spatial features and accurately recognizing free-hand sketches with sparse distributions. The SD3B component innovatively bridges gaps in the blank areas of sketches by establishing spatial relationships among disconnected stroke points through adaptive reshaping of convolution kernels. These kernels are deformable, …

Generative Ai And Empirical Software Engineering: A Paradigm Shift, Christoph Treude, Margaret-Anne Storey

Research Collection School Of Computing and Information Systems

The widespread adoption of generative AI in software engineering marks a paradigm shift, offering new opportunities to design and utilize software engineering tools while influencing both developers and the artifacts they create. Traditional empirical methods in software engineering, including quantitative, qualitative, and mixed-method approaches, are well established. However, this paradigm shift introduces novel data types and redefines many concepts in the software engineering process. The roles of developers, users, agents, and researchers increasingly overlap, blurring the distinctions between these social and technical actors within the field. This paper examines how integrating AI into software engineering challenges traditional research paradigms. It …

Pricing Strategies In Global Channels: Considering The Effects Of Parallel Trade, Yuan-Mao Kao, Yang Yang, Shih-Fen Cheng, Cheng-Hung Wu

Research Collection School Of Computing and Information Systems

Pricing a global product differently across multiple regions is a common but controversial practice. Although price differentiation helps capture unique market characteristics, it also encourages parallel trade, which may affect the overall corporate performance of a global company. We study this problem with a single global business unit (GBU) and multiple local business units (LBUs). The GBU manufactures a product and sets a transfer price for supplying the product to all LBUs, and LBUs decide retail prices for their respective regional markets. Customers can purchase products in any region by comparing LBUs’ prices and other parallel-imported factors, and we construct …

Predict Social Economic Outcomes By Transferred Knowledge With Satellite Imagery, Yang Tang, Shih-Fen Cheng, Yunqiang Zhu, Yichen Yang, Zhiqiang Zou

Research Collection School Of Computing and Information Systems

Traditional deep learning methods and econometric models have played a crucial role in the field of data mining, particularly in the prediction of socioeconomic outcomes. However, socio-economic information is unable to be directly extracted from remote sensing data. So, in this paper, we propose a method to leverage transfer learning to predict socioeconomic indicators (outcomes) through satellite imagery. Specifically, we use road network types as a proxy for socioeconomic factors, which is more effective and stable than using nightlight. We have extracted eleven distinct road topological features to generate reasonable road network types. Given the unique characteristics of road networks, …

Enhancing Spatial Understanding In Mixed-Reality Presentations, Nam-Dang Vo, Van-Vinh Thai, Nam-Hoi Do, Viet-Tham Huynh, Anthony Tang, Khan-Duy Le

Research Collection School Of Computing and Information Systems

Mixed reality (MR) presentations often involve a presenter wearing a head-mounted display (HMD) and an audience watching via a large display, making it difficult for audiences to perceive spatial relationships between the presenter and virtual objects. We report two experiments testing three design variations: (1) scene camera placement (audience-aligned vs. opposite), (2) overlaying the presenter’s first-person view, and (3) highlighting objects in the presenter’s view. Results show that audience-aligned cameras and object highlighting improve spatial understanding, while combining third- and first-person views can further aid perception. We derive design guidelines for configuring MR presentations to better support audience comprehension.

Metacan: Improving Generalizability Of Few‑Shot Anomaly Detection With Meta‑Learning, Zhisheng Lv, Jianfeng Zhang, Songlei Jian, Chenlin Huang, Hongguang Zhang, Guansong Pang, Zhong Liu

Research Collection School Of Computing and Information Systems

Few-shot Anomaly Detection (AD) for images aims to detect anomalies with few-shot normal samples from the target dataset. It is a crucial task when only few samples can be obtained, and it is challenging since it needs to be generalized to different domains. Existing methods try to enhance the generalizability of AD by incorporating large vision-language models (LVLMs).However, how to transform category semantic information in LVLMs into anomaly information to improve the generalizability of AD remains a challenge facing existing methods.To address the challenge, we propose a few-shot AD method called MetaCAN, a novel category-to-anomaly network trained with AD meta-learning …

Uncovering The Values Of The Metaverse For Leisure Use By Individuals: A Value-Focused Thinking Approach, Ruilin Zheng, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

The metaverse is a computer-mediated environment where users take the form of digital avatars when participating in activities and interacting with one another. Given the popularity of the metaverse, especially among the younger population, we identified the values offered by the metaverse for leisure use by its users. Using the Value-Focused Thinking (VFT) approach, we identified these values in the form of fundamental and means objectives. The VFT approach was applied in interviewing users who conduct leisure activities in the metaverse and in analyzing the data collected. A total of 27 metaverse users were interviewed, which generated 8 fundamental objectives …

International Workshop On Multimodal Generative Search And Recommendation (Mmgensr@Cikm 2025), Yi Bin, Haoxuan Li, Haokai Ma, Yang Zhang, Wenjie Wang, Yunshan Ma, Yang Yang, Tat‑Seng Chua

Research Collection School Of Computing and Information Systems

Recent breakthroughs in generative Artificial Intelligence (AI) have ignited a revolutionary wave across information retrieval and recommender systems. This workshop serves as a premier interdisciplinary platform to explore how generative models, particularly Large Language Models (LLMs) and Large Multimodal Models (LMMs), are transforming multimodal search and recommendation paradigms [3, 6, 9, 10, 12-14]. We aim to convene researchers and practitioners to discuss innovative architectures, methodologies, and evaluation strategies spanning generative document retrieval [5, 8] generative image retrieval [ 7, 16], grounded answer generation [17], generative recommendation [2, 4, 11], and related tasks involving multiple modalities [1,15]. The workshop will facilitate …

Simulated Interactive Debugging, Yannic Noller, Erick Chandra, Srinidhi Chandrashekar, Kenny Choo, Cyrille Jegourel, Oka Kurniawan, Christopher M. Poskitt

Research Collection School Of Computing and Information Systems

Debugging software, i.e., the localization of faults and their repair, is a key activity in software engineering. Therefore, effective and efficient debugging is one of the core skills a software engineer must develop. However, the teaching of debugging techniques is usually very limited or only taught in indirect ways, e.g., during software projects. As a result, most Computer Science (CS) students learn debugging only in an ad-hoc and unstructured way. In this work, we present our approach called Simulated Interactive Debugging that interactively guides students along the debugging process. The guidance aims to empower the students to repair their solutions …

Instructors’ Strategies In Creating And Implementing Constructivist Llm-Based Learning Activities, Emily Aurelia, Shun Yi Yeo, Michelle Lui, Effie Lai-Chong Law, Anthony Tang

Research Collection School Of Computing and Information Systems

Large language models (LLMs) are increasingly being integrated into educational settings, enabling more adoption of constructivist teaching and learning approaches in classrooms. This paper explores the strategies instructors are currently using to incorporate LLMs into learning activities that align with constructivist principles, which emphasize that learners actively construct their own knowledge. Through interviews with nine instructors who have designed eleven distinct LLM-based activities and using reflexive thematic analysis, this study identifies various types of learning activities with respect to four different aspects of the constructivist learning theory. The strategies employed and challenges faced to foster constructivist student-LLM interaction were also …

Itrusst Consensus On Biophysical Safety For Transcranial Ultrasound Stimulation, Jean François Aubry, David Attali, Mark E. Schafer, Elsa Fouragnan, Charles F. Caskey, Robert Chen, Ghazaleh Darmani, Ellen J. Bubrick, Jérôme Sallet, Christopher R. Butler, Charlotte J. Stagg, Miriam C. Klein-Flügge, Seung Schik Yoo, Christy K. Holland, Bradley Treeby, Eleanor Martin, Lennart Verhagen, Kim Butts Pauly

School of Psychology

Transcranial ultrasound stimulation (TUS) is an emerging technology for non-invasive brain stimulation. The International Transcranial Ultrasonic Stimulation Safety and Standards consortium (ITRUSST) has established consensus on considerations for nonsignificant biophysical risk of TUS, drawing upon the literature and established regulations for biomedical devices. Here, we assume the application of TUS to individuals without contraindications, compromised thermoregulation, vascular vulnerabilities, or administered ultrasound contrast agents. In this context, we present a concise yet comprehensive set of levels for nonsignificant risks of TUS application. For mechanical effects, it is non-significant risk if the mechanical index (MI) or the mechanical index for transcranial application …