Digital Commons Network^™

Gcot: Chain-Of-Thought Prompt Learning For Graphs, Xingtong Yu, Chang Zhou, Zhongwei Kuai, Xinming Zhang, Yuan Fang

Research Collection School Of Computing and Information Systems

Chain-of-thought (CoT) prompting has achieved remarkable success in natural language processing (NLP). However, its vast potential remains largely unexplored for graphs. This raises an interesting question: How can we design CoT prompting for graphs to guide graph models to learn step by step? On one hand, unlike natural languages, graphs are non-linear and characterized by complex topological structures. On the other hand, many graphs lack textual data, making it difficult to formulate language-based CoT prompting. %Therefore we cannot directly adopt the CoT prompting methods used in the language domain. In this work, we propose the first CoT prompt learning framework …

Ai-Assisted Triage And Decision Support Of Head And Neck Cancer Screening And Diagnosis In Low-Resourced Settings, Min Hun Lee, Sean Shao Wei Lam, Shaun Xin Hong Liew, Michael Dorosan, Nicholas Graves, Jonas Karlström, Hiang Khoon Tan, Walter Tsong Lee

Research Collection School Of Computing and Information Systems

The mortality burden of head and neck cancer (HNC) is increasing globally and disproportionately affects people in low-and middle-income countries with limited medical workforce. To address this issue, artificial intelligence (AI) algorithms are increasingly being explored to process medical imaging data, demonstrating competitive performance. However, the clinical adoption of AI remains challenging as clinicians struggle to understand how complex AI works and trust it to use in practice. In addition, AI may not perform well on varying data qualities of endoscopy videos for HNC screening and diagnosis from multiple sites.In this project, our international and interdisciplinary team will collaborate with …

Memotune: A Measure And Moment-Driven Fine-Tuning Framework For Quantized Large Language Models, Yun Zhang, Xue Geng, Lizi Liao, Jintong Sun, Minghe Yu, Ge Yu

Research Collection School Of Computing and Information Systems

Quantizing large language models (LLMs) is essential for reducing memory and computational costs in natural language processing. Existing methods combine quantization with parameter-efficient fine-tuning but often fail to meet practical performance requirements. This paper introduces MeMoTune, a novel fine-tuning framework for quantized LLMs. By employing a measure and moment approach within a low-rank approximation framework in probability measure space, MeMoTune optimizes the objective function for superior fine-tuning results. The update process is further refined through scaled gradient, enhancing convergence efficiency and noise robustness. Experiments on tasks like text generation, summarization, and understanding show MeMoTune significantly outperforms state-of-the-art methods, e.g. fine-tuning …

Graph Positional Autoencoders As Self-Supervised Learners, Yang Liu, Deyu Bo, Wenxuan Cao, Yuan Fang, Yawen Li, Chuan Shi

Research Collection School Of Computing and Information Systems

Graph self-supervised learning seeks to learn effective graph representations without relying on labeled data. Among various approaches, graph autoencoders (GAEs) have gained significant attention for their efficiency and scalability. Typically, GAEs take incomplete graphs as input and predict missing elements, such as masked node features or edges. Although effective, our experimental investigation reveals that traditional feature or edge masking paradigms primarily capture low-frequency signals in the graph and fail to learn expressive structural information. To address these issues, we propose Graph Positional Autoencoders (GraphPAE), which employ a dual-path architecture to reconstruct both node features and positions. Specifically, the feature path …

Starpose: 3d Human Pose Estimation Via Spatial-Temporal Autoregressive Diffusion, Haoxin Yang, Weihong Chen, Xuemiao Xu, Cheng Xu, Peng Xiao, Cuifeng Sun, Shaoyu Huang, Shengfeng He

Research Collection School Of Computing and Information Systems

Monocular 3D human pose estimation remains a challenging task due to inherent depth ambiguities and occlusions. Compared to traditional methods based on Transformers or Convolutional Neural Networks (CNNs), recent diffusionbased approaches have shown superior performance, leveraging their probabilistic nature and high-fidelity generation capabilities. However, these methods often fail to account for the spatial and temporal correlations across predicted frames, resulting in limited temporal consistency and inferior accuracy in predicted 3D pose sequences. To address these shortcomings, this paper proposes StarPose, an autoregressive diffusion framework that effectively incorporates historical 3D pose predictions and spatialtemporal physical guidance to significantly enhance both the …

Sifar: A Simple Faster Accelerated Variance‑Reduced Gradient Method, Zhize Li

Research Collection School Of Computing and Information Systems

In this paper, we propose a simple faster accelerated gradient method called SIFAR for solving the finite-sum optimization problems. Concretely, we consider both general convex and strongly convex settings: i) For general convex finite-sum problems, SIFAR improves previous state-of-the-art result given by Varag. In particular, for large-scale problems or the convergence error is not very small, SIFAR obtains the first optimal result O(n), matching the lower bound. ii) For strongly convex finite-sum problems, we also show that SIFAR can achieve the optimal convergence rate matching the lower bound. Besides, SIFAR enjoys a simpler loopless algorithmic structure while previous algorithms use …

Affinitytune: A Prompt-Tuning Framework For Few-Shot Anomaly Detection On Graphs, Jingyan Chen, Guanghui Zhu, Guansong Pang, Chunfeng Yuan, Yihua Huang

Research Collection School Of Computing and Information Systems

Graph anomaly detection (GAD) is a critical task with applications in domains such as networking, finance, and bioinformatics. % However, the scarcity of labeled anomalies and the limitations of unsupervised methods hinder effective detection. % While semi-supervised and few-shot learning approaches offer improvements, they struggle with knowledge transfer and rely heavily on labeled data. % Recent advancements in prompt tuning on graphs provide a promising direction, but their application to heterophilous graphs in anomaly detection remains underexplored. % In this work, we propose AffinityTune, a novel framework for few-shot graph anomaly detection based on prompt tuning. % Our approach introduces …

Role Of Social Media Mindfulness In Combatting Fake News Propagation, Gaurav Bansal, Fiona Fui-Hoon Nah, Jason B. Thatcher

Research Collection School Of Computing and Information Systems

The dissemination of fake news by social media users is a key factor in the escalation of misinformation. Research suggests that social media networks are becoming increasingly homophilic, which leads to an overreliance on social media friends that contributes to the spread of fake news. However, little is known about how social media mindfulness can reduce the sharing of fake news. To investigate this research question, we conceptualized a social media mindfulness construct and developed the social media mindfulness scale. We also hypothesize that social media mindfulness lowers overreliance on friends’ knowledge, which increases skepticism about social media news that …

Gnncontext: Gnn-Based Code Context Prediction For Programming Tasks, Xiaoye Zheng, Zhiyuan Wan, Shun Liu, Kaiwen Yang, David Lo, Xiaohu Yang

Research Collection School Of Computing and Information Systems

A code context model comprises source code elements and their relations relevant to a programming task. The capture and use of code context models in software tools can benefit software development practices, such as code navigation and search. Prior research has explored approaches that leverage either the structural information of code or interaction histories of developers with integrated development environments to automate the construction of code context models. However, these approaches primarily capture shallow syntactic and lexical features of code elements, with limited ability to capture contextual and structural dependencies among neighboring code elements. In this paper, we propose GNNContext, …

Exploring Rehabilitation Therapists' Knowledge And Perspectives On The Use Of Artificial Intelligence And Machine Learning For Persons Poststroke, Hannah Clark, Mia Delvecchio, Min Hun Lee, Elena D. Brown, Kaia Mikula, Robert Halyama, Kasey Stepansky

Research Collection School Of Computing and Information Systems

Research Objectives: The use of technology such as robotics, gaming systems, self-monitoring apps, or other sensor-based devices in standard practice is infrequent. Due to the rapid development of artificial intelligence (AI) and machine learning (ML) applications, it is important to look at how therapists perceive AI/ML, and design applications with potential barriers in mind. to support future integration into practice. The purpose of this research project is to gain rehabilitation therapists’ perspectives on AI/ML in post-stroke assessment and intervention.Design: This ongoing study uses a mixed methods design with surveys and focus groups. Participants engaged in a 30-minute webinar to learn …

Consistent Client Simulation For Motivational Interviewing-Based Counseling, Yizhe Yang, Palakorn Achananuparp, Heyan Huang, Jing Jiang, Nicholas Gabriel Lim, Cameron Shi Ern Tan, Phey Ling Kit, Jenny Xiuhui Giam, John Pinto, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Simulating human clients in mental health counseling is crucial for training and evaluating counselors (both human or simulated) in a scalable manner. Nevertheless, past research on client simulation did not focus on complex conversation tasks such as mental health counseling. In these tasks, the challenge is to ensure that the client’s actions (i.e., interactions with the counselor) are consistent with with its stipulated profiles and negative behavior settings. In this paper, we propose a novel framework that supports consistent client simulation for mental health counseling. Our framework tracks the mental state of a simulated client, controls its state transitions, and …

Mixture Effects On Metal Accumulation In The Asian Clam, Corbicula Fluminea, Mark A. Huff

Electronic Theses and Dissertations

Field collected Corbicula fluminea were exposed to trace level copper, lead, and zinc with the aim of examining the preferential accumulation between the soft tissue and shell. Metal levels were based on those in a permitted industrial effluent. At 1X effluent and 2X effluent exposure levels, copper was found to preferentially accumulate in the clam soft tissue, lead was found to preferentially accumulate in the clam shell, and zinc was found to excrete back into the diluent after preferentially accumulating in the clam soft tissue. When exposed as a mixture at 1X effluent levels, copper and lead were found to …

Elbow Interpositional Arthroplasty Using An Achilles Tendon Allograft: A Case Report., Matthew Glazier, Morgan Turnow, Hunter Pharis, Taylor Manes, Hayden Schuette, Stephen Wiseman

Surgery Articles

INTRODUCTION: The treatment of post-traumatic elbow arthritis poses a significant challenge for orthopedic surgeons, especially in young active patients. Total elbow arthroplasty is often the recommended treatment option in older patients; however, interpositional arthroplasty remains a viable option in high-demand patients.

CASE REPORT: We report a case of a 50-year-old male who presented after the development of post-traumatic arthritis of the elbow after multiple prior surgeries. He was treated with an interpositional arthroplasty using an Achilles tendon graft and allowed immediate range of motion as tolerated in a hinged elbow brace without the use of any form of distraction external …

Perceived Leadership Behaviors And Workplace Motivation: The Predictive Role Of Generational Cohorts In The U.S. Construction Industry, Leslie D. Klinegardner

Electronic Theses and Dissertations

The purpose of this study was to examine the extent to which perceived leadership behaviors predicted workplace motivation among construction workers across generational cohorts in the Greater Houston, Texas area. Grounded in self-determination theory, the research explored how transformational, transactional, and passive-avoidant leadership behaviors predicted the satisfaction and frustration of psychological needs for autonomy, competence, and relatedness. The analysis also considered whether leadership behaviors and generational cohort served as significant predictors of workplace motivation outcomes. The study followed a quantitative, predictive, cross-sectional design using survey methodology. Data were collected using the Multifactor Leadership Questionnaire (MLQ) and the Basic Psychological Need …

Mode Regulates Alternative Nitrogenase Expression In Themethanogen Methanosarcina Acetivorans, Melissa Chanderban, Daniel J. Lessner

Biological Sciences Faculty Publications and Presentations

All methanogens that can fix nitrogen use molybdenum (Mo) nitrogenase. Some methanogens, including Methanosarcina acetivorans, also contain alternative vanadium- and iron-nitrogenases, encoded by the vnf and anf operons, respectively. These nitrogenases are produced when there is insufficient Mo to support Mo-nitrogenase activity. The factors that control the expression of the alternative nitrogenases in response to Mo availability are unknown in methanogens. Here we show that ModE is the regulator that represses transcription of the vnf and anf operons in M. acetivorans when cells are grown with Mo. CRISPRi repression of modE results in a significant increase in the transcription of …

Subjective Socioeconomic Status Moderates Self-Esteem Reactivity To Daily Stressor Exposure: Evidence From A Daily Diary Approach, Yi Jing Chua, Nadyanna M. Majeed, Verity Yu Qing Lua, Chi-Ying Cheng, Andree Hartanto

Research Collection School of Social Sciences

Research on self-esteem reactivity has demonstrated that self-esteem fluctuates in response to daily stressor exposure, and the strength of this relationship varies between individuals. Drawing upon the positive link between objective socioeconomic status (SES) and self-esteem, how subjective SES influences self-esteem reactivity to daily stressor exposure was explored. Using a 7-day daily diary study, the current study (N-participants = 243, N-days = 1651) adopted a multilevel analysis to demonstrate that subjective SES attenuated the within-person association between daily stressor exposure and daily self-esteem, even after controlling for demographics and objective indicators of SES. The interactions were also consistent across social …

Optimising Exercise For Managing Chemotherapy-Induced Peripheral Neuropathy In People Diagnosed With Cancer, Dhiaan Sidhu, Jodie Cochrane Wilkie, Jena Buchan, Kellie Toohey

Research outputs 2022 to 2026

Background: Chemotherapy-induced peripheral neuropathy is a common and debilitating side effect of cancer treatment. While exercise has shown promise in alleviating this burden, it remains underutilised in clinical practice due to the lack of accessible, clinician-friendly guidance. Aim: This review aimed to synthesise current evidence on exercise interventions for managing chemotherapy-induced peripheral neuropathy and provide practical insights to support clinicians in integrating these approaches into patient care. Methods: A search was conducted across MEDLINE, CINAHL, and SPORTDiscus using keywords related to exercise and CIPN. Studies were included if they involved adults receiving neurotoxic chemotherapy and exercise-based interventions. Two authors independently …

The Role Of Diet In Moderating The Relationship Between Symptoms Of Depression And Brain Amyloid Load, Hilal Salim Said J. Al Shamsi, Samantha L. Gardener, Stephanie R. Rainey-Smith, Hamid R. Sohrabi, Kevin C.M. Taddei, Colin L. Masters, Vincent M. Doré, Christopher L. Rowe, W. M.A.D.Binosha Fernando, Ralph N. Martins

Research outputs 2022 to 2026

Background: Healthy lifestyle factors, including diet, may affect brain amyloid beta (Aβ) load. This study examines dietary patterns as moderators of the relationships among symptoms of depression, anxiety, and brain Aβ load. Method: A cross-sectional study of cognitively unimpaired older adults (n = 524) from the Australian Imaging, Biomarkers, and Lifestyle study assessed dietary patterns, depressive and anxiety symptoms, and brain Aβ load. Moderation and simple slope analyses were conducted. Results: The Dietary Approaches to Stop Hypertension (DASH) diet moderated the relationship between depressive and anxiety symptoms and brain Aβ load. Higher symptoms were associated with greater Aβ load in …

A Global Movement Takes Shape – Physical Activity, Health, And The New Era Of Responsibility: “Global Alliance For Promotion Of Physical Activity”, J. M. Steinacker, W. Van Mechelen, C. Joisten, S. Zanuso, C. A. Jaworski, Y. P. Pitsiladis

Research outputs 2022 to 2026

No abstract provided.

The Moderating Effect Of Dietary Patterns On The Association Of Depression And Anxiety With Cognitive Function, Hilal Salim Said Al Shamsi, Samantha L. Gardener, Hamid R. Sohrabi, Kevin Taddei, Colin L. Masters, Stephanie R. Rainey-Smith, Ralph N. Martins, W. M.A.D.B. Fernando

Research outputs 2022 to 2026

Background and aims: Investigating modifiable risk factors, such as diet, is crucial in understanding their effects on the relationship between Alzheimer's disease (AD)-related cognitive decline and related conditions. This study assesses whether dietary patterns moderate the relationship between symptoms of depression, anxiety, and cognitive function in older adults. Given that biological and psychosocial differences between sexes may influence dietary behaviours, mental health symptoms, and cognitive outcomes, conducting sex-stratified analyses will allow for identification of differential associations. Method: Cross-sectional data from cognitively unimpaired older adults (n = 1174, age ≥60 years) from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study were …

The Cortical Motor Map For The Extensor Digitorum Communis Muscle Fails To Increase In Treatment-Related Clinically Significant Upper Limb Post-Stroke Recovery, Tomoko Kitago, Joshua Silverstein, Michael B. Gerber, Charlene Thomas, Linda M. Gerber, Gary W. Thickbroom, Dylan J. Edwards

Research outputs 2022 to 2026

Objectives: Cortical reorganization has been proposed as a mechanism for motor recovery of the upper limb. The objective of this study was to determine if intervention-related clinical improvement in post-stroke hemiparesis is associated with enlarged motor cortex representation. Methods: Data were analyzed from a single site subset of the NICHE trial. Clinical assessments of upper limb movement (Fugl-Meyer Upper Extremity Motor Assessment, FM-UE, Action Research Arm Test, ARAT, and Wolf Motor Function Test, WMFT) and transcranial magnetic stimulation (TMS) motor mapping of the extensor digitorum communis (EDC) muscle were performed in 23 participants (3–12 months post-stroke, 10 female, 40–88 yrs) …

Does Change In Faith Maturity Reflect Maturation? Establishing Strict Measurement Invariance For The Faith Maturity Scale Across Time, Hiroki Matsuo, Tyler Greenway, Grant B. Morgan, Sarah A. Schnitker

University Faculty Publications and Creative Works

Despite its early focus on religious development and faith maturation, the psychology of religion and spirituality field underutilizes longitudinal designs; work is needed to reduce barriers to the longitudinal study of the processes by which faith matures. As a first step, the present study examines the invariance structure of the Faith Maturity Scale across three time points to assess the reliability and structure of the scale over time. The confirmatory factor analytic method was used to examine data from 572 college students. Configural, metric, scalar, and residual/strict models were tested. Findings support the full strict residual longitudinal invariance model, providing …

More Arguments For The Weakness Of The Empirical Evidence Used To Support Spanking Bans: Rejoinder To Afifi Et Al. (2025) And Kraus De Camargo (2025), Marjorie Lindner Gunnoe, Robert E. Larzelere, Christopher J. Ferguson, Ronald B. Cox Jr.

University Faculty Publications and Creative Works

In this rejoinder we address 13 concerns elicited by our invited commentary “An update on the scientific evidence for and against the legal banning of disciplinary spanking.” In addition to defending assertions made in the initial commentary, we make several new substantive arguments. In response to dissenters’ equating of non-experimental evidence against spanking with nonexperimental evidence against smoking, we demonstrate that the two are very dissimilar. We question the purpose of spanking bans, providing stronger evidence that they do not seem to prevent child abuse. We review Canada’s association with the UN’s Convention on the Rights of the Child (CRC) …

Simmel’S Reification In The Digital Era: The Commodification Of Emotional Relationships In Rent-A-Partner Services On Social Media, Juliana Pramesti

Masyarakat: Jurnal Sosiologi

This study examines the commodification of emotional relationships in Indonesia through the rise of “rent-a-partner” services on social media platforms such as Instagram and TikTok. Existing scholarship on digital intimacy has largely focused on Western and East Asian contexts, particularly dating applications, offering limited insight into how commodified intimacy operates in non-Western settings shaped by distinct socio-cultural and moral frameworks. Addressing this gap, the study draws on Georg Simmel’s concept of reification to analyze how emotional intimacy is transformed into purchasable service packages within platform-mediated environments. Using a qualitative approach that combines netnographic observation and in-depth interviews, the study demonstrates …

Readiness Of Universitas Indonesia To Be An Inclusive Campus For People With Disabilities, Dumilah Ayuningtyas, Tri Auri Putri Ayuningtyas, Anita Pebrina Lubis, Anindya Naila Sabahat, Ratih Oktarina, Afaf Jauhar

Masyarakat: Jurnal Sosiologi

Ensuring equal education rights remains a challenge in Indonesia, despite constitutional mandates and the global commitment to “no one left behind.” The Disability Participation Rate remains low; in 2023, only 21.03% of individuals aged 19–23 were included. This reflects, among other factors, the limited preparedness of educational institutions. This study evaluates Universitas Indonesia’s readiness to develop inclusive education for persons with physical, sensory, mental, and intellectual disabilities. Using the capability approach, it assesses whether institutional resources can be translated into capability-enhancing conditions for students with disabilities. The study draws on literature review, targeted document searches, SWOT analysis, IFE-EFE matrices, and …

Central Halmahera In Power Relations, Development, And Environmental Crisis, Herman Usman

Masyarakat: Jurnal Sosiologi

Abstract This paper analyzes the relationship between power relations, development, and environmental crisis in Central Halmahera, North Maluku, a region that has undergone socio-ecological changes due to the expansion of extractive industries, especially nickel mining. Such development is controlled by state actors and corporations, creating unequal power relations in which local communities are often marginalized. This development model based on natural resource extraction resulting in ecosystem degradation, water pollution, and the loss of living space for indigenous peoples and coastal communities. This paper uses the approaches of political ecology and the sociology of development, to examine how the state facilitates …

Local Wisdom Of Khanduri Blang In The Community Of Lamteungoh Aceh Besar, Ahmad Nubli Gadeng Ang, Afratul Zahra Afa, Ruliani Ruliani Rli, Muhammad Hafizul Furqan Mhf, Mirza Desfandi Mrz, Daska Azis, Ramli Gadeng Rgd

Masyarakat: Jurnal Sosiologi

This study examines khanduri blang, a traditional farming ritual practiced by the community of Lamteungoh Village in Ingin Jaya District, Aceh Besar Regency. I argue that the continuing significance of khanduri blang lies in the relationship between its spiritual meanings and the communal practices through which agricultural activities are coordinated. The research draws on interviews with two village officials and seven community members, alongside observations on farming activities in Lamteungoh Village. The findings describe a sequence of ritual and agricultural activities, including communal deliberation, seed preparation, livestock slaughter, prayers, and communal meals. Khanduri blang begins with the community’s deliberation to …

Impact Of Non-Uniform Surface Temperature On The Apparent Radiative Properties Of Cavity Receivers, Ehsan Mofidipour, Matthew R. Jones, Brian D. Iverson

Faculty Publications

Radiative surface properties play a critical role in the design, analysis and optimization of solar–thermal systems. Cavity receivers increase the efficiency of solar–thermal energy systems through the cavity effect. The cavity effect refers to increased absorption of radiation due to multiple reflections within a cavity. Apparent radiative surface properties of a cavity characterize the effective interactions of radiation passing through an imaginary surface covering the cavity aperture. In this study, we investigate the extent to which the apparent emissivity of a cavity with a non-uniform surface temperature profile may be estimated using an isothermal enclosure model. A cylindrical cavity was …

Soft Infrastructure And The Location Choice Of Multinational Firms:Evidence From Japanese Investment In The United States In The 1980s, Shuichiro Nishioka, Eric Olson, Haoyu Wang

Economics Faculty Working Papers Series

We examine whether culture-specific educational infrastructure influenced the location decisions of multinational enterprises by analyzing Japanese foreign direct investment (FDI) in the United States during the 1980s. Using the quasi-natural experiment of politically-driven Japanese FDI following Reagan-era trade tensions, we test whether pre-existing Japanese Studies programs in U.S. universities predict subsequent Japanese investment across 722 commuting zones. We find that zones with Japanese Studies programs in 1980 were 21-29% more likely to receive new Japanese manufacturing investment by 1992, controlling for traditional determinants likemanufacturing infrastructure, agglomeration, and market access. Our results suggest that "soft infrastructure"—culture-specific human capital pipelines—represents an overlooked …

My Performance Over Yours: Earned Entitlement, Performance, Luck, And Deservingness In Giving, Andrej Angelovski, Praveen Kujal, Jose M. Ortiz

ESI Working Papers

We study how three widely discussed cues—source of income (merit vs luck), own performance, and information about others’ work status and performance—shape redistribution. Prior to the dictator game, all 306 dictators and most of the 306 recipients complete the same real-effort matrix task in an online experiment that would yield either $4 or $1 for the dictators. In the Performance treatment the dictator’s payoff is based on their performance; in Luck, it is assigned by a 50-50 draw. We find that: (i) Earned entitlement is prevalent for high-performing dictators: they keep more for themselves; (ii) Earned entitlement is conditional …