Digital Commons Network^™

Realign: Text-To-Motion Generation Via Step-Aware Reward-Guided Alignment, Wanjiang Weng, Xiaofeng Tan, Junbo Wang, Guo-Sen Xie, Pan Zhou, Hongsong Wang

Research Collection School Of Computing and Information Systems

Text-to-motion generation, which synthesizes 3D human motions from text inputs, holds immense potential for applications in gaming, film, and robotics. Recently, diffusion-based methods have been shown to generate more diversity and realistic motion. However, there exists a misalignment between text and motion distributions in diffusion models, which leads to semantically inconsistent or low-quality motions. To address this limitation, we propose Reward-guided sampling Alignment (ReAlign), comprising a step-aware reward model to assess alignment quality during the denoising sampling and a reward-guided strategy that directs the diffusion process toward an optimally aligned distribution. This reward model integrates step-aware tokens and combines a …

Cross-Modal Proxy Evolving For Ood Detection With Vision-Language Models, Hao Tang, Yu Liu, Shuanglin Yan, Fei Shen, Shengfeng He, Jing Qin

Research Collection School Of Computing and Information Systems

Reliable zero-shot detection of out-of-distribution (OOD) inputs is critical for deploying vision-language models in open-world settings. However, the lack of labeled negatives in zero-shot OOD detection necessitates proxy signals that remain effective under distribution shift. Existing negative-label methods rely on a fixed set of textual proxies, which (i) sparsely sample the semantic space beyond in-distribution (ID) classes and (ii) remain static while only visual features drift, leading to cross-modal misalignment and unstable predictions. In this paper, we propose CoEvo, a training- and annotation-free test-time framework that performs bidirectional, sample-conditioned adaptation of both textual and visual proxies. Specifically, CoEvo introduces a …

Portfoliopilot: An Agentic Platform For Financial Portfolio Management Algorithm Development And Evaluation, Jared Chan Xu Yang, Haokai Ma, Yunshan Ma

Research Collection School Of Computing and Information Systems

Developing new portfolio-management algorithms typically demands substantial programming effort, limiting rapid experimentation and excluding finance professionals without coding skills. Current robo-advisory tools offer pre-built but rigid strategies, restricting customization and experimentation. We introduce PortfolioPilot, an open-source, agentic platform that enables users to generate bespoke portfolio through natural-language descriptions. Leveraging the Anthropic Claude API, PortfolioPilot dynamically synthesizes executable TypeScript algorithms that run in the frontend with security validation. The system integrates real-time backtesting with historical market data, classical optimization algorithms (Markowitz, LSTM, ARIMA), and interactive performance visualizations.

Look, Compare And Draw: Differential Query Transformer For Automatic Oil Painting, Lingyu Liu, Yaxiong Wang, Li Zhu, Lizi Liao, Zhedong Zheng

Research Collection School Of Computing and Information Systems

This work introduces a new approach to automatic oil painting that emphasizes the creation of dynamic and expressive brushstrokes. A pivotal challenge lies in mitigating the duplicate and common-place strokes, which often lead to less aesthetic outcomes. Inspired by the human painting process, i.e., observing, comparing, and drawing, we incorporate differential image analysis into a neural oil painting model, allowing the model to effectively concentrate on the incremental impact of successive brushstrokes. To operationalize this concept, we propose the Differential Query Transformer (DQ-Transformer), a new architecture that leverages differentially derived image representations enriched with positional encoding to guide the stroke …

Nondeterministic Polynomial-Time Problem Challenge: An Ever-Scaling Reasoning Benchmark For Llms, Chang Yang, Ruiyu Wang, Junzhe Jiang, Qi Jiang, Qinggang Zhang, Yanchen Deng, Shuxin Li, Shuyue Hu, Bo Li, Florian T. Pokorny, Xiao Huang, Xinrun Wang

Research Collection School Of Computing and Information Systems

Reasoning is the fundamental capability of large language models (LLMs). Due to the rapid progress of LLMs, there are two main issues of current benchmarks: i) these benchmarks can be crushed in a short time (less than 1 year), and ii) these benchmarks may be easily hacked. To handle these issues, we propose the ever-scalingness for building the benchmarks which are scaling over complexity against crushing, instance against hacking and exploitation, oversight for easy verification, and coverage for real-world relevance. This paper presents Nondeterministic Polynomial-time Problem Challenge (NPPC), an ever-scaling reasoning benchmark for LLMs. Specifically, the NPPC has three main …

Poster Presentation: Language And Educational Equity: Understanding The Unequal Opportunities Of Minority Language Learners In Multilingual Societies, Yiwei Guo

Holmes Scholars Collection

No abstract provided.

An Investigation Into The Mechanisms, Barriers, Degree And Sphere Of Risk Influence In Corporate Security, Nicola Lockhart

Theses: Doctorates and Masters

This study investigates the sphere of corporate security risk influence within organisations, addressing the conceptual and practical ambiguity surrounding the activity’s capacity to shape organisational decisions, behaviours, and risk priorities. While corporate security’s protective role is widely recognised, its broader organisational risk influence remains under-theorised. The study defines the sphere of risk influence as the range of organisational stakeholders and environments with which the corporate security activity interacts, and within which it may engage, persuade, and mobilise action. This sphere is analytically constituted through the intersection of three dimensions: the mechanisms through which influence is attempted, the barriers that constrain …

Emotional Coding In Wolfgang Amadeus Mozart’S Music: The Influence Of Text-Driven Musical Patterns, Antonio Toppi

Theses: Doctorates and Masters

This thesis investigates the phenomenon of emotional coding in the music of Wolfgang Amadeus Mozart (1756–1791), with particular attention to the ways in which text-driven musical patterns influence both vocal and instrumental works. The study draws on 18th-century theories of key characteristics, musical-rhetorical figures, and topoi, compositional devices that carried emotional implications for contemporary listeners. These codes are first examined in two of Mozart’s operas, Le Nozze di Figaro (KV492) and Don Giovanni (KV527), where the setting of text to music provides a framework for associating compositional choices with emotion. Findings from the analyses are then applied to three contemporaneous …

Identifying Disparities In Same-Day Surgery Cancellations: Impact Of Race And Socioeconomic Factors In A Pediatric Health System, Nicole M Santucci, Daniel Alligood, Amanda Maytin-Hevia, Danyi Wang, Kelly Chilson, Jesse Vrecenak, Andrew Yeh, Colin A Martin

2020-Current year OA Pubs

PURPOSE: Same-day surgery (SDS) cancellations have significant implications on patients and hospitals. This study aimed to identify demographic and socioeconomic factors that impact SDS cancellations across a single pediatric health system.

METHODS: A case-control retrospective review captured patients (age < 18) who underwent SDS procedures from July 2022 to August 2024. Patients were included if they underwent any procedure at three operative sites: a tertiary pediatric academic hospital (PAH) and two outpatient surgery centers (OSC). Patients whose SDS was cancelled (n = 2,034) were compared to those whose surgeries proceeded as scheduled (n = 25,573). Patient zip codes were matched to Child Opportunity Index (COI) 2.0 data.

RESULTS: The overall SDS cancellation rate was 7.37 %, with a significantly higher rate observed at the PAH compared to OSC (11.4 % vs 53 %, p < 0.001). Patients with cancelled cases were more likely to identify as Black and have the lowest quintile COI (p < 0.001). Cancelled in preop and no shows were two reasons with the most racial disparities. In a sub-analysis comparing cancelled cases between operating sites, PAH cancelled patients tended to be Black (23.8 % vs 11.7 %, p < 0.001) and have very low COI (20.1 % vs. 10.6 %, p < 0.001).

CONCLUSION: SDS cancellation rates are significantly higher amongst patients who identify as Black and reside in low opportunity neighborhoods. Disparities in cancellation rate are more significant in patients scheduled at the urban PAH compared …

Beyond Restless Sleep: A Cross-Sectional Study Of Obstructive Sleep Apnea Risk, Aging Biomarkers, And Chronic Low Back Pain, Khalid W Freij, Fiona Bat Agbor, Philemon Domoyeri, Kiari R Kinnie, Asia M Wiggins, Demario S Overstreet, Tammie L Quinn, Shivraj S Grewal, S Justin Thomas, Walid W Freij, Shameka L Cody, Michael A Owens, Robert E Sorge, Burel R Goodin, Edwin N Aroke

2020-Current year OA Pubs

This secondary data analysis aimed to determine the nature of the relationship between obstructive sleep apnea (OSA) risk, biological age acceleration, and nonspecific chronic low back pain (CLBP). In total, 199 adults aged 18-82 years who filled both STOPBANG and pain questionnaires subsetted for secondary analysis. Based on the STOPBANG questionnaire, 104 had a low OSA risk and 95 had an intermediate or high OSA risk. Dunedin Pace of Aging Computed from the Epigenome (DunedinPACE), Horvath's, Hannum's, PhenoAge, and GrimAge clocks were used to determine biological age and pace of biological aging. Individuals with low OSA risk reported increased DunedinPACE …

Lost Before Forgetting: Objective Driving Metrics Track Navigation Deficits Tied To Preclinical Alzheimer's Disease, Yiqi Zhu, Ramkrishna K Singh, Semere Bekena, David C Brown, Chen Chen, Matthew Blake, Jean-François Trani, Ganesh M Babulal

2020-Current year OA Pubs

BACKGROUND AND OBJECTIVES: Navigation is a complex, multisensory process in which subtle changes may emerge before the onset of symptomatic Alzheimer's disease (AD). This study investigated whether navigation abilities were associated with amyloid and tau pathology in cognitively normal older adults.

RESEARCH DESIGN AND METHODS: Among 285 cognitively unimpaired older adults, navigation and objective driving behaviors were assessed using the self-reported Santa Barbara Sense of Direction Scale (SBSOD) and a datalogger, respectively. Amyloid and tau burden were quantified using PET-MRI 2 years post-initial driving data collection. Linear mixed-effects models were used to evaluate the associations between biomarker status and longitudinal …

Abnormalities In Sensorimotor Brain Function Are Related To Chronicity Of Low Back Pain, Jo Armour Smith, Rongwen Tain, Kelli G Sharp, Laura M Glynn, Linda R Van Dillen, Jesse V Jacobs, Steven C Cramer

2020-Current year OA Pubs

Maladaptive plasticity in the brain may contribute to chronic low back pain (LBP) and underlie the altered postural control of the lumbopelvic musculature that is evident in some individuals with LBP. We recently described an MRI-compatible leg-raise paradigm to measure brain activity associated with lumbopelvic postural control. The objective of this study was to compare brain function in young adults with and without a history of LBP and to determine relationships between brain function, pain, and postural control characteristics. We recruited 55 participants with a history of LBP, who were asymptomatic when studied, and 30 healthy controls. Postural control during …

Clinical Outcomes Following Mechanical Thrombectomy In Pulmonary Embolism Response Team-Consulted Patients: A Retrospective Analysis, Ryan Nolan, Maanasi Samant, Suresh Vedantham, Westley Ohman, Nathan Droz, Kristen Sanfilippo, Pavan Kavali

2020-Current year OA Pubs

PURPOSE: To determine if use of mechanical thrombectomy (MT) impacts survival and additional outcomes in patients with acute intermediate-high-risk and high-risk pulmonary embolism (PE) who were evaluated by a Pulmonary Embolism Response Team (PERT).

METHODS: This retrospective, single-center study included patients with intermediate-high-risk and high-risk PE who received PERT evaluation over 3.5 years and were treated with anticoagulation (AC) alone or MT + AC. The primary outcome was 30-day all-cause mortality, measured with inverse probability of treatment weighting. Exploratory outcomes included survival during the study period, PE-associated/caused mortality, hospital length of stay (LOS), supplemental oxygen at discharge, and MT-related metrics. …

Mouse Alport Podocytes Are Susceptible To Aav9 Transduction In Vivo, Meei-Hua Lin, Kohei Omachi, Joshua F Begin, Jennifer L Richardson, Jeffrey H Miner

2020-Current year OA Pubs

INTRODUCTION: Alport syndrome features a defective glomerular basement membrane (GBM) due to variants in COL4A3, COL4A4, and COL4A5. The most severe forms, which lack the GBM's collagen α3α4α5(IV) network, progress from hematuria in early childhood to proteinuria, chronic kidney disease, and kidney failure by the age of ∼30. As a monogenic disease without specific treatments, and with podocytes being the only glomerular cells that synthesize collagen α3α4α5(IV), the ability to efficiently deliver genes to Alport podocytes could open up new possibilities for treatment.

METHODS: As a proof-of-concept study, we investigated whether podocytes in X-linked Alport mice were susceptible to transduction …

Cgrp Expression And Signaling Sensitization In A Mouse Model Of Chronic Oxaliplatin-Induced Peripheral Neuropathy, Junwei Du, Leland C Sudlow, Margaret H Johnson, Kanishk Satish, Abraham Villagomez, Hongzhen Hu, Mikhail Y Berezin

2020-Current year OA Pubs

Chemotherapy-induced peripheral neuropathy (CIPN) is a frequent and dose-limiting side effect of oxaliplatin treatment, yet its molecular mechanisms remain incompletely understood. Calcitonin gene-related peptide alpha (CGRPα, encoded by

Qualitative Study For Llm-Assisted Design Study Process: Strategies, Challenges, And Roles, Shaolun Ruan, Rui Sheng, Xiaolin Wen, Jiachen Wang, Tianyi Zhang, Yong Wang, Tim Dwyer, Jiannan Li

Research Collection School Of Computing and Information Systems

Design studies aim to develop visualization solutions for real-world problems across various application domains. Recently, the emergence of large language models (LLMs) has introduced new opportunities to enhance the design study process, providing capabilities such as creative problem-solving, data handling, and insightful analysis. However, despite their growing popularity, there remains a lack of systematic understanding of how LLMs can effectively assist researchers in visualization-specific design studies. In this paper, we conducted a rnulti-stage qualitative study to fill this gap, which involved 30 design study researchers from diverse backgrounds and expertise levels. Through in-depth interviews and carefully-designed questionnaires, we investigated strategies …

An Ex-Post Analysis Framework For Assessing The Effectiveness And Driving Factors Of Green Building Certification Adoption: A Case Study Of Singapore, Hao Gu, Xiaoyu Jin, Fu Xiao, Maomao Hu, Clayton Miller

Research Collection College of Integrative Studies

Cities worldwide are adopting green building certification policies to meet sustainability and decarbonization targets in the building sector. However, the effectiveness of green certifications remains contested due to the difficulty of decomposing multiple influencing factors on building energy consumption. This study proposes an econometrics-based ex-post analysis framework to assess the effectiveness of green building certification policies in energy savings and identify driving factors by decomposing multiple influential factors. The proposed framework incorporates time-fixed effect models to examine factors driving the adoption of green building certifications, and causality analysis to quantify the effectiveness. Applying the framework to analyze a panel dataset …

Walking Through Green And Grey: Exploring Sequential Exposure And Multisensory Environmental Effects On Psychological Restoration, Sifan Cheng, Binyu Lei, Kunihiko Fujiwara, Clayton Miller, Filip Biljecki, Jeroen Van Ameijde

Research Collection College of Integrative Studies

Urban environments are increasingly recognised for their potential to support psychological restoration, yet most studies assess green and grey spaces in isolation and rely on static, lab-based measures. This study introduces a multi-layered analytical framework that integrates experimental walking, momentary perception tracking, and machine learning to investigate how multisensory urban features shape restoration. Conducted on a university campus, the experiment exposed 20 participants to sequential grey–green–grey walking routes. Restoration was measured through pre/post psychometric surveys, heart rate variability (HRV), and minute-level micro-surveys during walking. Results reveal three key insights: (1) green exposure induces a short-term “inoculation effect”, with restorative benefits …

Multidimensional Analysis Of Human Outdoor Comfort: Integrating Just-In-Time Adaptive Interventions (Jitais) In Urban Digital Twins, Binyu Lei, Pengyuan Liu, Kunihiko Fujiwara, Mario Frei, Clayton Miller, Xuan Yun Chua, Filip Biljecki

Research Collection College of Integrative Studies

How can bidirectional information exchange be enhanced in urban digital twins, and support human-centric data and processes? Their key characteristic is the nearly real-time exchange of information, allowing adjustments to physical environments based on simulations and analytics within virtual models. Yet, achieving such interaction remains challenging, particularly regarding device deployment and infrastructure development. Embracing the concept of humans as sensors, this work develops a two-way framework based on the emerging concept of just-in-time adaptive interventions (JITAIs), exploring how urban digital twins can play a role in understanding and enhancing human comfort outdoors. Human comfort outdoors is inherently spatio-temporal and personalised, …

Smart Cities Beyond Methodological Cityism: Foregrounding Developmentalism, Scalar Flexing And The Rebranding Of The 'Urban', Prerona Das, Orlando Woods, Lily Kong

Research Collection College of Integrative Studies

In this paper we show that in Southeast Asia, smart city development has become a type of digital urban transformation that is not targeted towards any particular territorial formation or settlement. Instead, development-oriented states in the region leverage the smart city rhetoric as a nationwide branding strategy to leapfrog development stages. Such smart city policies are infused with a scalar logic – which we call ‘scalar flexing’ – that captures the enmeshing of local and national scales, causing local scale smart city initiatives to be stretched across wide-ranging, national-scale urban transformation agendas. We examine the nationwide 100 smart cities policies …

How Do You Fix Knowledge In Place? Digital Nomads And Infrastructural Stickiness, Emma Grimley, Prerona Das, Orlando Woods, Lily Kong

Research Collection College of Integrative Studies

Remote work has become increasingly accessible due to the growing acceptance of remote work arrangements following the COVID-19 pandemic. Some state actors, especially in countries which face a shortage of digital talent and have reputations as leisure-tourism destinations, have begun considering the opportunities for digital transformation or workforce upskilling that highly skilled remote workers may offer. This paper develops the case of remote workers in Thailand to argue that infrastructural stickiness is a critical determinant for effective knowledge transfer to occur. By infrastructural stickiness we refer to the regulatory and socio-material infrastructures that both attract and retain international remote workers …

Modelling Nature? The Digital Twinning And Untwinning Of Urban Farms, Prerona Das, Orlando Woods, Lily Kong

Research Collection College of Integrative Studies

Data-driven solutions and innovations have been extended to various industries, including agriculture, to increase efficiency. With the emergence of smart farming and agriculture 4.0, advanced technologies such as IoT, big data, machine learning, and cloud computing are increasingly integrated into farming. Among these, technologies such as digital models, digital twins and the metaverse are now used to control various farming activities remotely based on real-time data. However agricultural ecosystems, involving uncertain nature-based factors and complex human-nature interactions cannot always be accurately represented or predicted by digital models. Digital models aim to reduce natural environments into controllable game-like situations and undermine …

Choice-Based Crowdshipping For Next-Day Delivery Services: A Dynamic Task Display Problem, Alp Arslan, Firat Kilci, Shih-Fen Cheng, Archan Misra

Research Collection School Of Computing and Information Systems

This paper studies integrating the crowd workforce into next-day home delivery services. In this setting, both crowd drivers and contract drivers collaborate in making deliveries. Crowd drivers have limited capacity and can choose not to deliver if the presented tasks do not align with their preferences. The central question addressed is: How can the platform minimize the total task fulfilment cost, which includes payouts to crowd drivers and additional payouts to contract drivers for delivering the unselected tasks by customizing task displays to crowd drivers? To tackle this problem, we formulate it as a finite-horizon Stochastic Decision Problem, capturing crowd …

Executive Summary Analysis. Supplementary Information [Data], Hidden For Review

Higher education research

We present an approach to defining minimum standards of written communication for engineering graduates based on the evaluation of writing samples by industry personnel. Communication skills are widely recognised as core graduate capabilities; however, universities often lack explicit, evidence-based standards aligned with industry expectations. This study applies the borderline group method of empirical standard setting to elicit judgement from industry professionals who supervise graduate engineers. Participants evaluated samples of student writing in two common engineering genres, technical report executive summaries and emails, using dichotomous acceptability judgements supported by evaluations of structure, content and expression. We present a validated framework, supported …

Email Analysis. Supplementary Information [Data], Hidden For Review

Higher education research

We present an approach to defining minimum standards of written communication for engineering graduates based on the evaluation of writing samples by industry personnel. Communication skills are widely recognised as core graduate capabilities; however, universities often lack explicit, evidence-based standards aligned with industry expectations. This study applies the borderline group method of empirical standard setting to elicit judgement from industry professionals who supervise graduate engineers. Participants evaluated samples of student writing in two common engineering genres, technical report executive summaries and emails, using dichotomous acceptability judgements supported by evaluations of structure, content and expression. We present a validated framework, supported …

Study Of Fire Regimes In Southwestern Australia Using Geospatial Techniques, Ana Do Carmo Carvalho

Theses: Doctorates and Masters

The Northern Jarrah Forest in Southwestern Australia (SWA), part of a global biodiversity hotspot, is home to fire-sensitive tree species such as marri (Corymbia calophylla) and jarrah (Eucalyptus marginata). As climate change intensifies drought and extreme fire events, understanding the drivers of fire severity is increasingly critical. This thesis analyses fire regimes within the Mundaring drinking water catchment to better understand the spatiotemporal complexity of fire severity in relation to fire history and environmental factors.

The thesis commences with a review of three Fire History Databases (FHDs) used in SWA, highlighting significant inconsistencies and data gaps across time and space. …

The Matusiflute: Exploring Intercultural Collaboration Through Timbral Dízi Emulation Within An Australian-Chinese Orchestral Performance Setting, Gabriel Mcmahon

Theses: Doctorates and Masters

This research investigates how the Matusiflute can potentially promote intercultural Sino Western collaboration within solo, chamber and orchestral settings by consciously applying technical and stylistic codes attributed to the dízi (traverse Chinese bamboo flute). Using an autoethnographic approach, I reflect on my engagement with the dízi, its morphology, timbre and stylistic interpretation, and how my pedagogical flute context impacted this approach. These learnings were then applied to the Matusiflute through two premiere performances of a commissioned intercultural work by Nicholas Ng, The Secret of the Golden Flower (2024) for Matusiflute and Chinese Orchestra. The latter being performed in a solo …

Getting Ready Right: The Impact And Influence Of The University Appointed Supervisor, Madlen Griffiths

Theses: Doctorates and Masters

Initial Teacher Education professional experience is a valued component of teacher education courses, where preservice teachers can practise applying what they have learned at university in classroom settings. Key to these experiences are supervisors, who are employed by the university and support these aspiring teachers during their professional experiences. This supervisory role is complex, underrated, under-theorised and under researched. Consequently, this research sought to address this shortfall through an investigation into the perspectives of two of the major stakeholders in these experiences: the preservice teachers and the supervisors.

Adopting a social constructivist methodology, this research examined the stakeholders’ perceptions of …

Development Of Virtual Reality Learning Environments In Science To Engage Secondary Students In Hazardous Activities, Luke Spartalis

Theses: Doctorates and Masters

This research examines the need for change in including hazardous activities in education. As different learning technologies develop, platforms that retain authentic outcomes via virtual reality are needed. The main objective of this research is to examine the inclusion of Virtual Reality Learning Environments (VRLEs) to determine their value in areas that include hazardous conditions. The research considered the ways that VR tools could be optimised to support these activities, as well as considering the challenges of VRLE implementation. The study examined whether VRLE’s allowed for authentic experiences to sufficiently drive an acceptance of VR to complement existing teaching and …

The Experience Of Homelessness Among Older Adults In Bhutan - A Narrative Inquiry Study, Phuntsho Om

Theses: Doctorates and Masters

A shift in the demographics of homelessness started to occur in the 1900s, with a significant increase in the number of middle-aged or elderly men and women being recognised as a part of the homeless population. The rising urgent global concern of homelessness of older adults necessitates a deeper understanding of the lived experience and holistic well-being of these marginalised adults. This thesis aimed to explore the phenomenon of homelessness of older adults in Bhutan, which is an often neglected topic in both national and international gerontological research.

Employing narrative inquiry within the constructivist approach as articulated by Pino Gravidia …