Digital Commons Network^™

Customer Gaze Estimation In Retail Using Deep Learning, Shashimal Senarath, Primesh Pathirana, Dulani Meedeniya, Sampath Jayarathna

Computer Science Faculty Publications

At present, intelligent computing applications are widely used in different domains, including retail stores. The analysis of customer behaviour has become crucial for the benefit of both customers and retailers. In this regard, the concept of remote gaze estimation using deep learning has shown promising results in analyzing customer behaviour in retail due to its scalability, robustness, low cost, and uninterrupted nature. This study presents a three-stage, three-attention-based deep convolutional neural network for remote gaze estimation in retail using image data. In the first stage, we design a mechanism to estimate the 3D gaze of the subject using image data …

Spaghetti Tracer: A Framework For Tracing Semiregular Filamentous Densities In 3d Tomograms, Salim Sazzed, Peter Scheible, Jing He, Willy Wriggers

Computer Science Faculty Publications

Within cells, cytoskeletal filaments are often arranged into loosely aligned bundles. These fibrous bundles are dense enough to exhibit a certain regularity and mean direction, however, their packing is not sufficient to impose a symmetry between—or specific shape on—individual filaments. This intermediate regularity is computationally difficult to handle because individual filaments have a certain directional freedom, however, the filament densities are not well segmented from each other (especially in the presence of noise, such as in cryo-electron tomography). In this paper, we develop a dynamic programming-based framework, Spaghetti Tracer, to characterizing the structural arrangement of filaments in the challenging 3D …

Loss Of Acta2 In Cardiac Fibroblasts Does Not Prevent The Myofibroblast Differentiation Or Affect The Cardiac Repair After Myocardial Infarction, Yuxia Li, Chaoyang Li, Qianglin Liu, Leshan Wang, Adam X. Bao, Jangwook P. Jung, Sanjeev Dodlapati, Jingwen Sun, Peidong Gao, Xujia Zhang, Joseph Francis, Jeffery D. Molkentin, Xing Fu

Computer Science Faculty Publications

In response to myocardial infarction (MI), quiescent cardiac fibroblasts differentiate into myofibroblasts mediating tissue repair. One of the most widely accepted markers of myofibroblast differentiation is the expression of Acta2 which encodes smooth muscle alpha-actin (SMαA) that is assembled into stress fibers. However, the requirement of Acta2/SMαA in the myofibroblast differentiation of cardiac fibroblasts and its role in post-MI cardiac repair remained unknown. To answer these questions, we generated a tamoxifen-inducible cardiac fibroblast-specific Acta2 knockout mouse line. Surprisingly, mice that lacked Acta2 in cardiac fibroblasts had a normal post-MI survival rate. Moreover, Acta2 deletion did …

Machine Learning-Based Event Generator For Electron-Proton Scattering, Y. Alanazi, P. Ambrozewicz, M. Battaglieri, A.N. Hiller Blin, M. P. Kuchera, Y. Li, T. Liu, R. E. Mcclellan, W. Melnitchouk, E. Pritchard, M. Robertson, N. Sato, R. Strauss, L. Velasco

Computer Science Faculty Publications

We present a new machine learning-based Monte Carlo event generator using generative adversarial networks (GANs) that can be trained with calibrated detector simulations to construct a vertex-level event generator free of theoretical assumptions about femtometer scale physics. Our framework includes a GAN-based detector folding as a fast-surrogate model that mimics detector simulators. The framework is tested and validated on simulated inclusive deep-inelastic scattering data along with existing parametrizations for detector simulation, with uncertainty quantification based on a statistical bootstrapping technique. Our results provide for the first time a realistic proof of concept to mitigate theory bias in inferring vertex-level event …

Associations Of The Lipidome With Ageing, Cognitive Decline And Exercise Behaviours, Maria Kadyrov, Luke Whiley, Belinda Brown, Kirk I. Erickson, Elaine Holmes

Research outputs 2022 to 2026

One of the most recognisable features of ageing is a decline in brain health and cognitive dysfunction, which is associated with perturbations to regular lipid homeostasis. Although ageing is the largest risk factor for several neurodegenerative diseases such as dementia, a loss in cognitive function is commonly observed in adults over the age of 65. Despite the prevalence of normal age-related cognitive decline, there is a lack of effective methods to improve the health of the ageing brain. In light of this, exercise has shown promise for positively influencing neurocognitive health and associated lipid profiles. This review summarises age-related changes …

Effect Of Carbon Fibres On Electromagnetic-Interference-Shielding Properties Of Geopolymer Composites, Dimuthu Wanasinghe, Farhad Aslani, Guowei Ma

Research outputs 2022 to 2026

Many of the construction materials available are known to cause a drastic level of damage to the environment during their manufacturing stages. Hence, many researchers have attempted to formulate construction materials that are more environmentally friendly. Additionally, the rise in wireless communications in recent decades has seen a rapid increase in electromagnetic pollution and interference, which affects the functionality of sensitive electronic devices. This research is focused on fabricating a more sustainable construction material that could prevent electromagnetic interference for electronic devices housed inside. Carbon fibres of three different lengths were added in four variations to a geopolymer control mix …

Refinement Of Alphafold2 Models Against Experimental And Hybrid Cryo-Em Density Maps, Maytha Alshammari, Willy Wriggers, Jiangwen Sun, Jing He

Computer Science Faculty Publications

Recent breakthroughs in deep learning-based protein structure prediction show that it is possible to obtain highly accurate models for a wide range of difficult protein targets for which only the amino acid sequence is known. The availability of accurately predicted models from sequences can potentially revolutionise many modelling approaches in structural biology, including the interpretation of cryo-EM density maps. Although atomic structures can be readily solved from cryo-EM maps of better than 4 Å resolution, it is still challenging to determine accurate models from lower-resolution density maps. Here, we report on the benefits of models predicted by AlphaFold2 (the best-performing …

Effect Of Methyl Orange On Wettability Of Sandstone Formations: Implications For Enhanced Oil Recovery, Fatemah Alhamad, Mujahid Ali, Muhammad Ali, Hussein Abid, Hussein Hoteit, Stefan Iglauer, Alireza Keshavarz

Research outputs 2022 to 2026

With the increasing global population, fossil fuel resources still represent a main contributor to the energy supply, despite the progress made in the field of renewable energies. Large quantities of residual oil from mature reservoirs cannot be produced through primary and secondary recovery methods. Among alternative recovery techniques, chemically enhanced oil recovery methods are attracting considerable interest to increase the hydrocarbon recovery from oil-bearing geological formations. The wettability of any particular formation can be used to predict the oil recovery factor of a reservoir based on its wetting state. However, due to the complex nature of geological porous media, special …

Toward A Real-Time Index Of Pupillary Activity As An Indicator Of Cognitive Load, Gavindya Jayawardena, Yasith Jayawardana, Sampath Jayarathna, Jonas Högström, Thomas Papa, Deepak Akkil, Andrew T. Duchowski, Vsevolod Peysakhovich, Izabela Krejtz, Nina Gehrer, Krzysztof Krejtz

Computer Science Faculty Publications

The Low/High Index of Pupillary Activity (LHIPA), an eye-tracked measure of pupil diameter oscillation, is redesigned and implemented to function in real-time. The novel Real-time IPA (RIPA) is shown to discriminate cognitive load in re-streamed data from earlier experiments. Rationale for the RIPA is tied to the functioning of the human autonomic nervous system yielding a hybrid measure based on the ratio of Low/High frequencies of pupil oscillation. The paper's contribution is drawn from provision of documentation of the calculation of the RIPA. As with the LHIPA, it is possible for researchers to apply this metric to their own experiments …

Building The Plane While It’S Flying: Implementation Lessons From Integrating A Co-Located Exercise Clinic Into Oncology Care, Mary A. Kennedy, Sara Bayes, Robert U. Newton, Yvonne Zissiadis, Nigel A. Spry, Dennis R. Taaffe, Nicolas H. Hart, Daniel A. Galvão

Research outputs 2022 to 2026

Background:

Despite its therapeutic role during cancer treatment, exercise is not routinely integrated into care and implementation efforts are largely absent from the literature. The aim of this study was to evaluate a strategy to integrate the workflow of a co-located exercise clinic into routine care within a private oncology setting in two clinics in the metropolitan region of Western Australia.

Methods:

This prospective evaluation utilised a mixed methods approach to summarise lessons learned during the implementation of an integrated exercise workflow and supporting implementation plan. Data collection was informed by the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework. Reports …

Ready Raider One: Exploring The Misuse Of Cloud Gaming Services, Guannan Liu, Daiping Liu, Shuai Hao, Xing Gao, Kun Sun, Haining Wang

Computer Science Faculty Publications

Cloud gaming has become an emerging computing paradigm in recent years, allowing computer games to offload complex graphics and logic computation to the cloud. To deliver a smooth and high-quality gaming experience, cloud gaming services have invested abundant computing resources in the cloud, including adequate CPUs, top-tier GPUs, and high-bandwidth Internet connections. Unfortunately, the abundant computing resources offered by cloud gaming are vulnerable to misuse and exploitation for malicious purposes. In this paper, we present an in-depth study on security vulnerabilities in cloud gaming services. Specifically, we reveal that adversaries can purposely inject malicious programs/URLs into the cloud gaming services …

Scholarly Big Data Quality Assessment: A Case Study Of Document Linking And Conflation With S2orc, Jian Wu, Ryan Hiltabrand, Dominik Soós, C. Lee Giles

Computer Science Faculty Publications

Recently, the Allen Institute for Artificial Intelligence released the Semantic Scholar Open Research Corpus (S2ORC), one of the largest open-access scholarly big datasets with more than 130 million scholarly paper records. S2ORC contains a significant portion of automatically generated metadata. The metadata quality could impact downstream tasks such as citation analysis, citation prediction, and link analysis. In this project, we assess the document linking quality and estimate the document conflation rate for the S2ORC dataset. Using semi-automatically curated ground truth corpora, we estimated that the overall document linking quality is high, with 92.6% of documents correctly linking to six major …

Is The Precipitation Of Anxiety Symptoms Associated With Bolus Doses Of Flumazenil A Barrier To Its Use At Low Continuous Doses In Benzodiazepine Withdrawal?, Alexander Gallo, Tim Macdonald, Kellie Bennett, Gioiamia Basso-Hulse, Gary Hulse

Research outputs 2022 to 2026

Introduction:

Benzodiazepines (BZDs) are used in the management of anxiety and sleep disorders; however, chronic use is associated with tolerance and dependence. During withdrawal, symptoms of anxiety are often severe and problematic for patients and may lead to relapse or maintenance on low doses of BZDs. Low, continuous doses of flumazenil reduce BZD withdrawal symptoms in several studies; however, bolus doses are known to induce anxiety and precipitate panic. Accordingly, this study aimed to determine whether continuous low-dose flumazenil is anxiogenic like bolus doses.

Method:

In a randomised control cross over design, participants received a continuous low-dose flumazenil infusion for …

Mutual Effect Of Homocysteine And Uric Acid On Arterial Stiffness And Cardiovascular Risk In The Context Of Predictive, Preventive, And Personalized Medicine, Zhiyuan Wu, Haiping Zhang, Zhiwei Li, Haibin Li, Xinlei Miao, Huiying Pan, Jinqi Wang, Xiangtong Liu, Xiaoping Kang, Xia Li, Lixin Tao, Xiuhua Guo

Research outputs 2022 to 2026

Background:

Arterial stiffness is a major risk factor and effective predictor of cardiovascular diseases and a common pathway of pathological vascular impairments. Homocysteine (Hcy) and uric acid (UA) own the shared metabolic pathways to affect vascular function. Serum uric acid (UA) has a great impact on arterial stiffness and cardiovascular risk, while the mutual effect with Hcy remains unknown yet. This study aimed to evaluate the mutual effect of serum Hcy and UA on arterial stiffness and 10-year cardiovascular risk in the general population. From the perspective of predictive, preventive, and personalized medicine (PPPM/3PM), we assumed that combined assessment of …

The Dsa Toolkit Shines Light Into Dark And Stormy Archives, Shawn Morgan Jones, Himarsha R. Jayanetti, Alex Osborne, Paul Koerbin, Klein Martin, Michele C. Weigle, Michael L. Nelson

Computer Science Faculty Publications

Web archive collections are created with a particular purpose in mind. A curator selects seeds, or original resources, which are then captured by an archiving system and stored as archived web pages, or mementos. The systems that build web archive collections are often configured to revisit the same original resource multiple times. This is incredibly useful for understanding an unfolding news story or the evolution of an organization. Unfortunately, over time, some of these original resources can go off-topic and no longer suit the purpose for which the collection was originally created. They can go off-topic due to web site …

Realising Curriculum Possibilities In Wales: Teachers’ Initial Experiences Of Re-Imagining Secondary Physical Education, David Aldous, Victoria Evans, Rhys Lloyd, Fiona Heath-Diffey, Fiona Chambers

Research outputs 2022 to 2026

This paper provides insight into secondary Physical Education (PE) teachers’ experiences of beginning to re-imagine secondary physical education provision in light of the new Curriculum for Wales, 2022 (CfW). Data were generated through analysis of semi-structured interviews (n = 5) with secondary PE teachers who participated in three workshops which uses a design-thinking methodology. Informed by Ball and colleagues’ conceptualisation of policy work, findings draw attention towards how engagement in the workshops provided a foundation for the participants to begin interpretation and translation of the new CfW and consider re-imagining existing PE provision within the school context. Participants’ interpretations of …

The Realities And Expectations Of Community Involvement In Covid-19 Research: A Consumer Reference Group Perspective, Claire Adams, Paul Albert, Tim Benson, Anne Cordingley, Barbara Daniels, Noreen Fynn, Mary Gurgone, Chris Jeffery, Ann White, Natalie Strobel

Research outputs 2022 to 2026

Background:

Older adults have been disproportionately impacted by the COVID-19 pandemic. COVID-19 restrictions such as stay at home orders and physical distancing measures have been implemented to reduce older adults’ risk of infection, however, such measures can have negative effects on older adults’ mental health and social wellbeing. In 2020, the research team received funding as part of an Australian COVID-19 research grants program to investigate how services can better meet the mental health and social support needs of older adults during COVID-19. A Consumer Reference Group (CRG) was established to provide a community perspective on all research activities.

Main …

Sedentary Behaviour, Physical Activity, And Their Associations With Health Outcomes At The Time Of Diagnosis In People With Inoperable Lung Cancer, Shu Ning Ch’Ng, Joanne A. Mcveigh, David Manners, Terry Boyle, Carolyn J. Peddle-Mcintyre, Rajesh Thomas, Jeanie Leong, Samantha Bowyer, Kirsten Mooney, Leon Straker, Daniel A. Galvão, Vinicius Cavalheri

Research outputs 2022 to 2026

This study aimed to examine sedentary behaviour (SB), physical activity (PA) and their associations with health-related measures at the time of diagnosis in people with inoperable lung cancer. People newly diagnosed with inoperable lung cancer were invited to participate in the study and asked to wear an accelerometer for seven consecutive days. Variables analysed included time spent in SB, light intensity PA (LIPA) and moderate-to-vigorous intensity PA (MVPA). Daily steps were also recorded. Data on symptoms, health-related quality of life (HRQoL), hand grip force, comorbidities and lung function were collected. Of the 120 patients referred to the study, 89 (74 …

The Intersection Of The Rule In Yerkey V Jones And Contemporary Anti-Discrimination Law In Australia – Can The ‘Special Wives’ Equity Survive?, Kenneth Yin, Mostafa M. Naser

Research outputs 2022 to 2026

The High Court in Yerkey v Jones considered the enforceability of a guarantee provided by a married woman to secure her husband’s debts. Dixon J said that although the relationship of husband and wife did not give rise to a presumption of undue influence, the law had never been divested completely of ‘the equitable presumption of an invalidating tendency’. Dixon J’s formulation was essentially adopted by the majority justices in Garcia v National Australia Bank and their judgment thus represents the definitive endorsement of Dixon J’s view. Kirby
J on the other hand rejected ‘the stereotype underlying Yerkey’, which he …

“Machine-Dependent”: The Lived Experiences Of Patients Receiving Hemodialysis In Pakistan, Haseeba Shouket, Eyal Gringart, Dierdre Drake, Ulrich Steinwandel

Research outputs 2022 to 2026

This study aimed to explore the lived experiences of patients receiving maintenance hemodialysis in Pakistan. Purposive sampling was used to recruit 24 patients and six healthcare professionals, each participated in a semi-structured interview. Interpretive Phenomenological Analysis was used to analyze interviews’ data. Two superordinate themes, “The experience of hemodialysis” and “The conceptualizations of hemodialysis” as well as six sub-themes were identified. The experience of hemodialysis was related to, the implications of HD procedure on everyday life, social, cognitive, emotional, financial, and occupational influences. While all participants recognized the importance of hemodialysis for their survival, their conceptualizations of the treatment varied. …

The Slow Movements: Informetric Mapping Of The Scholarship And Implications For Tourism And Hospitality, Anton Klarin, Eerang Park, Sangkyun Kim

Research outputs 2022 to 2026

Slow food and the consequent slow movements are becoming more evident in research and media with the recognition of its implications for sustainability in many spheres of society. This study—the first systematic literature review of this topic—offers a comprehensive interdisciplinary investigation into slow movements which allows us to gain a systems view of the scholarship; stakeholder-oriented insights; and a holistic understanding of slowness while recognizing the various movements within and providing future research directions for tourism and hospitality researchers. This study identifies that slowness has extended to most aspects of our everyday life, such as the slow city, slow management, …

Online Brand Detraction In An Online Opinion Platform, Violetta Wilk, Claire Lambert, Stephanie Meek

Research outputs 2022 to 2026

While most studies focus on positive consumer-driven brand outcomes, this study set out to understand a negative consumer-driven brand outcome - online brand detraction (OBD). Through the lens of social exchange theory, OBD was operationalized and compared to its direct opposite manifestation - online brand advocacy (OBA). A big data, qualitative analysis, with a longitudinal approach was used to understand OBD in an online opinion platform (OOP). Four key dimensions of OBD were found: brand negativity, brand attack, negative brand knowledge and experience sharing, and virtual visual cues. These dimensions are polar opposites of OBA - a highly sought-after organic …

Is Ethereum's Progpow Asic Resistant?, Jason Orender, Ravi Mukkamala, Mohammad Zubair, Steven Furnell (Ed.), Paolo Mori (Ed.), Edgar Weippl (Ed.), Oliver Camp (Ed.)

Computer Science Faculty Publications

Cryptocurrencies are more than a decade old and several issues have been discovered since their then. One of these issues is a partial negation of the intent to “democratize” money by decentralizing control of the infrastructure that creates, transmits, and stores monetary data. The Programmatic Proof of Work (ProgPoW) algorithm is intended as a possible solution to this problem for the Ethereum cryptocurrency. This paper examines ProgPow’s claim to be Application Specific Integrated Circuit (ASIC) resistant. This is achieved by isolating the proof-of-work code from the Ethereum blockchain, inserting the ProgPoW algorithm, and measuring the performance of the new implementation …

Theory Entity Extraction For Social And Behavioral Sciences Papers Using Distant Supervision, Xin Wei, Lamia Salsabil, Jian Wu

Computer Science Faculty Publications

Theories and models, which are common in scientific papers in almost all domains, usually provide the foundations of theoretical analysis and experiments. Understanding the use of theories and models can shed light on the credibility and reproducibility of research works. Compared with metadata, such as title, author, keywords, etc., theory extraction in scientific literature is rarely explored, especially for social and behavioral science (SBS) domains. One challenge of applying supervised learning methods is the lack of a large number of labeled samples for training. In this paper, we propose an automated framework based on distant supervision that leverages entity mentions …

A Review Of Arthritis Diagnosis Techniques In Artificial Intelligence Era: Current Trends And Research Challenges, Maleeha Imtiaz, Syed Afaq Ali Shah, Zia Ur Rehman

Research outputs 2022 to 2026

Deep learning, a branch of artificial intelligence, has achieved unprecedented performance in several domains including medicine to assist with efficient diagnosis of diseases, prediction of disease progression and pre-screening step for physicians. Due to its significant breakthroughs, deep learning is now being used for the diagnosis of arthritis, which is a chronic disease affecting young to aged population. This paper provides a survey of recent and the most representative deep learning techniques (published between 2018 to 2020) for the diagnosis of osteoarthritis and rheumatoid arthritis. The paper also reviews traditional machine learning methods (published 2015 onward) and their application for …

Assessment Of Hole Quality, Thermal Analysis, And Chip Formation During Dry Drilling Process Of Gray Cast Iron Astm A48, Numan Habib, Aamer Sharif, Aqib Hussain, Muhammad Aamir, Khaled Giasin, Danil Yurievich Pimenov

Research outputs 2022 to 2026

The cutting parameters in drilling operations are important for high-quality holes and productivity improvement in any manufacturing industry. This study investigates the effects of spindle speed and feed rate on temperature, surface roughness, hole size, circularity, and chip formation during dry drilling of gray cast iron ASTM A48. The results showed that the temperature increased as spindle speed and feed rate increased. The surface roughness had an inverse relationship with the spindle speed and direct relation with the feed rate. Furthermore, hole size increased with increased spindle speed and decreased as the feed rate increased, while hole circularity decreased with …

Airway Morphology And Its Influence On Osa Severity And Surgical Intervention: A Retrospective Study, Fabiana Petrykowski, Raymond Lam, Richard Lewis, Syed Mohammed Shamsul Islam, Mithran Goonewardene

Research outputs 2022 to 2026

Introduction: The aim was to assess the relationship between airway morphology and surgical intervention in a cohort of patients presenting with increased body mass index (BMI) and a confirmed diagnosis of obstructive sleep apnoea (OSA). A secondary aim was to revisit the relationship between morphology and OSA severity. Methods: A retrospective analysis was conducted of pre-operative maxillofacial 3D-CT scans of thirty-two patients with a confirmed diagnosis of OSA who received treatment from an ear nose and throat specialist (ENT). Lateral cephalograms were imported into Quick Ceph Studio (Quick Ceph Systems Inc, San Diego, CA, USA) after which linear and angular …

Development, Implementation, And Evaluation Of A Professional Practice Model: A Scoping Review, Gemma Doleman, Di Twigg

Research outputs 2022 to 2026

Aim:

The aim of this study is to synthesize available literature describing the development, implementation and evaluation of a Professional Practice Model.

Background:

A Professional Practice Model is an overarching theory-based framework that depicts nursing values and defines the structure and process of nursing care. No research has synthesized available literature on this topic in recent times. Evaluation: A review of English language papers was published from 2015 to 2022. Fourteen studies met the inclusion criteria.

Key Issues:

All studies highlighted the importance of having a Professional Practice Model that reflects nursing care activities and resonates with nurses across an …

Circus-Specific Extension Of The International Olympic Committee Consensus Statement: Methods For Recording And Reporting Of Epidemiological Data On Injury And Illness In Sport 2020, Stephanie Greenspan, David Munro, Joanna Nicholas, Janine Stubbe, Melanie I. Stuckey, Rogier M. Van Rijn

Research outputs 2022 to 2026

Indepth knowledge of injury and illness epidemiology in circus arts is lacking. Comparing results across studies is difficult due to inconsistent methods and definitions. In 2020, the International Olympic Committee (IOC) consensus group proposed a standard method for recording and reporting epidemiological data on injuries and illnesses in sports and stated that sport-specific extension statements are needed to capture the context of each sport. This is the circus-specific extension to be used with the IOC consensus statement. International circus arts researchers in injury and illness epidemiology and performing arts medicine formed a consensus working group. Consensus statement development included a …

A Synthetic Prediction Market For Estimating Confidence In Published Work, Sarah Rajtmajer, Christopher Griffin, Jian Wu, Robert Fraleigh, Laxmann Balaji, Anna Squicciarini, Anthony Kwasnica, David Pennock, Michael Mclaughlin, Timothy Fritton, Nishanth Nakshatri, Arjun Menon, Sai Ajay Modukuri, Rajal Nivargi, Xin Wei, Lee Giles

Computer Science Faculty Publications

[First paragraph] Concerns about the replicability, robustness and reproducibility of findings in scientific literature have gained widespread attention over the last decade in the social sciences and beyond. This attention has been catalyzed by and has likewise motivated a number of large-scale replication projects which have reported successful replication rates between 36% and 78%. Given the challenges and resources required to run high-powered replication studies, researchers have sought other approaches to assess confidence in published claims. Initial evidence has supported the promise of prediction markets in this context. However, they require the coordinated, sustained effort of collections of human experts …