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Articles 1 - 30 of 13689

Full-Text Articles in Social and Behavioral Sciences

The Variable Resonance Magnetorheological Pendulum Tuned Mass Damper: Mathematical Modelling And Seismic Experimental Studies, Matthew Christie, Shuaishuai Sun, Lei Deng, Donghong Ning, Haiping Du, Shiwu Zhang, Weihua Li Jan 2020

The Variable Resonance Magnetorheological Pendulum Tuned Mass Damper: Mathematical Modelling And Seismic Experimental Studies, Matthew Christie, Shuaishuai Sun, Lei Deng, Donghong Ning, Haiping Du, Shiwu Zhang, Weihua Li

Faculty of Engineering and Information Sciences - Papers: Part B

Tuned mass damper technologies are progressively advancing through innovative application of smart materials, facilitating more versatile infrastructure protection. During seismic events, primarily encountered surrounding fault lines, highrise buildings and other civil structures can suffer catastrophic failures if not adequately protected. Where traditional passive structural protection may mitigate such damage, adaptive systems which provide controllable vibration attenuation across a wide range of excitation frequencies have seen growth in use, overcoming the challenges resulting from unpredictable seismic spectrums. As a robust solution to this problem, this article presents and analyses a variable resonance magnetorheological-fluid-based pendulum tuned mass damper which employs a rotary ...


Novel Dtn Mobility-Driven Routing In Autonomous Drone Logistics Networks, Saeid Iranmanesh, Raad Raad, Muhammad Salman Raheel, Faisel Em M Tubbal, Tony Jan Jan 2020

Novel Dtn Mobility-Driven Routing In Autonomous Drone Logistics Networks, Saeid Iranmanesh, Raad Raad, Muhammad Salman Raheel, Faisel Em M Tubbal, Tony Jan

Faculty of Engineering and Information Sciences - Papers: Part B

Drones have become prevalent for the delivery of goods by many retail companies such as Amazon and Dominos. Amazon has an issued patent that describes how drones scan and collect data on their fly-overs while dropping off packages. In this context, we propose a path optimization algorithm for a drone multi-hop communications network that can carry and forward data in addition to its primary function of parcel deliveries. We argue that traditional Delay Tolerant Networking (DTN) based protocols may not be efficient for this purpose. Therefore, this paper proposes a new DTN-based algorithm that optimizes drone flight paths in conjunction ...


Performance Of Ballast Influenced By Deformation And Degradation: Laboratory Testing And Numerical Modeling, Buddhima Indraratna, Ngoc Trung Ngo, Cholachat Rujikiatkamjorn Jan 2020

Performance Of Ballast Influenced By Deformation And Degradation: Laboratory Testing And Numerical Modeling, Buddhima Indraratna, Ngoc Trung Ngo, Cholachat Rujikiatkamjorn

Faculty of Engineering and Information Sciences - Papers: Part B

This paper presents a study on the deformation and degradation responses of railway ballast using large-scale laboratory testing and computational modeling approaches. A series of large-scale triaxial tests were carried out to investigate the ballast breakage responses under cyclic train loading subjected to varying frequencies, f=10-40  Hz. The role of recycled rubber energy-absorbing mats (REAMs) on reducing ballast breakage was also examined. Laboratory test results show that the ballast experiences significant degradation (breakage) and deformation, while the inclusion of REAMs can reduce the ballast breakage up to about 35%. Numerical modeling using the coupled discrete-continuum approach [coupled discrete-element method-finite-difference ...


Research On Fault Detection For Three Types Of Wind Turbine Subsystems Using Machine Learning, Zuojun Liu, Cheng Xiao, Tieling Zhang, Xu Zhang Jan 2020

Research On Fault Detection For Three Types Of Wind Turbine Subsystems Using Machine Learning, Zuojun Liu, Cheng Xiao, Tieling Zhang, Xu Zhang

Faculty of Engineering and Information Sciences - Papers: Part B

2020 by the authors. In wind power generation, one aim of wind turbine control is to maintain it in a safe operational status while achieving cost-effective operation. The purpose of this paper is to investigate new techniques for wind turbine fault detection based on supervisory control and data acquisition (SCADA) system data in order to avoid unscheduled shutdowns. The proposed method starts with analyzing and determining the fault indicators corresponding to a failure mode. Three main system failures including generator failure, converter failure and pitch system failure are studied. First, the indicators data corresponding to each of the three key ...


Beam-Based Analog Self-Interference Cancellation In Full-Duplex Mimo Systems, Anh Tuyen Le, Le Chung Tran, Xiaojing Huang, Y. Jay Guo Jan 2020

Beam-Based Analog Self-Interference Cancellation In Full-Duplex Mimo Systems, Anh Tuyen Le, Le Chung Tran, Xiaojing Huang, Y. Jay Guo

Faculty of Engineering and Information Sciences - Papers: Part B

Self-interference (SI) cancellation for full-duplex (FD) multiple input multiple output (MIMO) systems is challenging due to both hardware and signal processing complexity. In this paper, a beam-based adaptive filter structure with analog least mean square (ALMS) loops is proposed to significantly reduce the complexity of SI cancellation for FD MIMO systems. With this structure, the number of adaptive filters required for SI cancellation scales linearly with the number of transmit beams rather than quadratically with the number of antennas. Furthermore, to avoid additional transmit chains used to upconvert the beam signals to generate reference signals for the ALMS loops, a ...


Air Void Detection Using Variational Mode Decomposition With Low Rank, Fok Hing Chi Tivive, Abdesselam Bouzerdoum, Shivakumar Karekal Jan 2020

Air Void Detection Using Variational Mode Decomposition With Low Rank, Fok Hing Chi Tivive, Abdesselam Bouzerdoum, Shivakumar Karekal

Faculty of Engineering and Information Sciences - Papers: Part B

This paper presents an air-void detection technique for air-coupled radar, which emits electromagnetic waves to interrogate an air-void inside a medium or between two media. The reflections from the air-medium interfaces are usually corrupted by air-coupling, antenna ringing, and internal reflections, rendering air-void detection very difficult or, in certain cases, impossible. The proposed method exploits the low-rank structure of the background clutter to suppress these nuisance signals. A variational mode decomposition model is developed to extract the backscattering at different air-medium interfaces as signal modes. Real experiments are conducted using a stepped frequency radar. The experimental results show that the ...


Meeting Students Where They Are: Just In Time Embedded Delivery Of Information And Digital Literacy Skills, Amy Hardy, Clare Mckenzie Jan 2020

Meeting Students Where They Are: Just In Time Embedded Delivery Of Information And Digital Literacy Skills, Amy Hardy, Clare Mckenzie

Senior Deputy Vice-Chancellor and Deputy Vice-Chancellor (Education) - Papers

At the University of Wollongong (UOW) Library we have been exploring ways to deliver information and digital literacy resources at point of need for students. Aligned with the University's strategic direction, the Future Ready Library Strategy points to a digital first mindset and its application to services and resources offered to the UOW community. Combined with the need to embrace the real life challenges faced by higher education students in Australia today, this has led us to develop a suite of digital learning objects in collaboration with teaching academics that can be delivered at scale, enabling a sustainable way ...


Attention-Based Residual Network With Scattering Transform Features For Hyperspectral Unmixing With Limited Training Samples, Yiliang Zeng, Christian H. Ritz, Jiahong Zhao, Jinhui Lan Jan 2020

Attention-Based Residual Network With Scattering Transform Features For Hyperspectral Unmixing With Limited Training Samples, Yiliang Zeng, Christian H. Ritz, Jiahong Zhao, Jinhui Lan

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 by the authors. This paper proposes a framework for unmixing of hyperspectral data that is based on utilizing the scattering transform to extract deep features that are then used within a neural network. Previous research has shown that using the scattering transform combined with a traditional K-nearest neighbors classifier (STFHU) is able to achieve more accurate unmixing results compared to a convolutional neural network (CNN) applied directly to the hyperspectral images. This paper further explores hyperspectral unmixing in limited training data scenarios, which are likely to occur in practical applications where the access to large amounts of labeled training ...


On The Energy Efficiency Of Massive Mimo Systems With Low-Resolution Adcs And Lattice Reduction Aided Detectors, Zhitao Xiao, Jincan Zhao, Tianle Liu, Lei Geng, Fang Zhang, Jun Tong Jan 2020

On The Energy Efficiency Of Massive Mimo Systems With Low-Resolution Adcs And Lattice Reduction Aided Detectors, Zhitao Xiao, Jincan Zhao, Tianle Liu, Lei Geng, Fang Zhang, Jun Tong

Faculty of Engineering and Information Sciences - Papers: Part B

As an effective technology for boosting the performance of wireless communications, massive multiple-input multiple-output (MIMO) systems based on symmetric antenna arrays have been extensively studied. Using low-resolution analog-to-digital converters (ADCs) at the receiver can greatly reduce hardware costs and circuit complexity to further improve the energy efficiency (EE) of the system. There are significant research on the design of MIMO detectors but there is limited study on their performance in terms of EE. This paper studies the effect of signal detection on the EE in practical systems, and proposes to apply several signal detectors based on lattice reduction successive interference ...


Attribute-Based Equality Test Over Encrypted Data Without Random Oracles, Yuanhao Wang, Yuzhao Cui, Qiong Huang, Hongbo Li, Jianye Huang, Guomin Yang Jan 2020

Attribute-Based Equality Test Over Encrypted Data Without Random Oracles, Yuanhao Wang, Yuzhao Cui, Qiong Huang, Hongbo Li, Jianye Huang, Guomin Yang

Faculty of Engineering and Information Sciences - Papers: Part B

© 2013 IEEE. Sensitive data would be encrypted before uploading to the cloud due to the privacy issue. However, how to compare the encrypted data efficiently becomes a problem. Public Key Encryption with Equality Test (PKEET) provides an efficient way to check whether two ciphertexts (of possibly different users) contain the same message without decryption. As an enhanced variant, Attribute-based Encryption with Equality Test (ABEET) provides a flexible mechanism of authorization on the equality test. Most of the existing ABEET schemes are only proved to be secure in the random oracle model. Their security, however, would not be guaranteed if random ...


The Contribution Of Electronic Health Records To Risk Management Through Accreditation Of Residential Aged Care Homes In Australia, Ping Yu, Tao Jiang, David M. Hailey, Jun Ma, Siyu Qian Jan 2020

The Contribution Of Electronic Health Records To Risk Management Through Accreditation Of Residential Aged Care Homes In Australia, Ping Yu, Tao Jiang, David M. Hailey, Jun Ma, Siyu Qian

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 The Author(s). Background: The Australian government has implemented a compulsory aged care accreditation system to guide and monitor the risk management approach in registered residential aged care (RAC) homes. This research assessed the contribution of electronic health records (EHR) to risk management in RAC homes in relation to the extent that aged care accreditation fulfils its role. Methods: A convenience sample of 5560 aged care accreditation reports published from 2011 to 2018 was manually downloaded from the Accreditation Agency web site. A mixed-method approach of text data mining and manual content analysis was used to identify any significant ...


Mechanistic-Empirical Permanent Deformation Models: Laboratory Testing, Modelling And Ranking, Ana Ramos, Antonio Gomes, Buddhima Indraratna, Ngoc Trung Ngo, Rui Calcada, Pedro Costa Jan 2020

Mechanistic-Empirical Permanent Deformation Models: Laboratory Testing, Modelling And Ranking, Ana Ramos, Antonio Gomes, Buddhima Indraratna, Ngoc Trung Ngo, Rui Calcada, Pedro Costa

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Elsevier Ltd Geomaterials exhibit elastoplastic behaviour during dynamic and repeated loading conditions. These loads are induced by the passage of a train or vehicle which then generates recoverable (resilient) deformation and/or permanent (plastic) deformation. Modelling this behaviour is still a challenge for geotechnical engineers as it implies the understanding of the complex deformation mechanism and application of advanced constitutive models. This paper reviews on the major causes of permanent deformation and the factors that influence the long-term performance of materials. It will also present the fundamental concepts of permanent deformation as well as the models and approaches used ...


Advancement Of Rail Ballast Testing Methodologies And Design Implications, Buddhima Indraratna, Ngoc Trung Ngo, Cholachat Rujikiatkamjorn, Fernanda Ferreira Jan 2020

Advancement Of Rail Ballast Testing Methodologies And Design Implications, Buddhima Indraratna, Ngoc Trung Ngo, Cholachat Rujikiatkamjorn, Fernanda Ferreira

Faculty of Engineering and Information Sciences - Papers: Part B

Given the limited capacity of available railway tracks in Australia to sustain increasingly faster and heavier trains, the development of innovative and sustainable ballasted tracks is essential for Australian transport infrastructure. Upon repeated train loading, ballast aggregates become degraded and fouled owing to the intrusion of external fines either from the subbase or surface, which decreases track drainage potentially leading to track instability. This paper reviews some advancements in testing methodologies and design implications of ballasted tracks stabilized with artificial inclusions, including geocomposites, energy absorbing rubber mats and end-of-life tires. Measured test data shows that the use of these waste ...


More Green, More 'Zzzzz'? Trees May Help Us Sleep, Thomas E. Astell-Burt, Xiaoqi Feng Jan 2020

More Green, More 'Zzzzz'? Trees May Help Us Sleep, Thomas E. Astell-Burt, Xiaoqi Feng

Faculty of Social Sciences - Papers

Not feeling sharp? Finding it hard to concentrate? About 12-19% of adults in Australia regularly don't get enough sleep, defined as less than 5.5-6 hours each night. But who'd have thought the amount of tree cover in their neighbourhood could be a factor? Our latest research has found people with ample nearby green space are much more likely to get enough sleep than people in areas with less greenery. There's plenty of helpful advice online on sleep, of course. Apart from personal routines, many other things can affect our sleep. Aircraft and traffic noise isn't ...


Tunable Strong Photo-Mixing In Weyl Semimetals, Jack Zuber, T Zhao, S Gong, M Hu, R Zhong, C Zhang, S Liu Jan 2020

Tunable Strong Photo-Mixing In Weyl Semimetals, Jack Zuber, T Zhao, S Gong, M Hu, R Zhong, C Zhang, S Liu

Faculty of Engineering and Information Sciences - Papers: Part B

We study both the temperature and band-gap dependence of the first-and third-order intraband conductivities of a Weyl semimetal (WSM) as well as the resultant critical field. By a semiclassical model we further explore how different chemical potentials, cone separations, field geometries, and finite relaxation times affect photoresponse. We determine that the band-gap variation is characterized by the Weyl cone separation and observe significant thermal enhancement of the nonlinear response. Universal behaviors of both the linear and nonlinear response have also been observed under certain conditions. Coupled with experimentally accessible critical field values of 104-105 V m-1, our results give strong ...


Using Cost-Sensitive Learning And Feature Selection Algorithms To Improve The Performance Of Imbalanced Classification, Fang Feng, Kuan-Ching Li, Jun Shen, Qingguo Zhou, Xuhui Yang Jan 2020

Using Cost-Sensitive Learning And Feature Selection Algorithms To Improve The Performance Of Imbalanced Classification, Fang Feng, Kuan-Ching Li, Jun Shen, Qingguo Zhou, Xuhui Yang

Faculty of Engineering and Information Sciences - Papers: Part A

Imbalanced data problem is widely present in network intrusion detection, spam filtering, biomedical engineering, finance, science, being a challenge in many real-life data-intensive applications. Classifier bias occurs when traditional classification algorithms are used to deal with imbalanced data. As already known, the General Vector Machine (GVM) algorithm has good generalization ability, though it does not work well for the imbalanced classification. Additionally, the state-of-the-art Binary Ant Lion Optimizer (BALO) algorithm has high exploitability and fast convergence rate. Based on these facts, we have proposed in this paper a Cost-sensitive Feature selection General Vector Machine (CFGVM) algorithm based on GVM and ...


Microstructural Evolution Of Hybrid Aluminum Matrix Composites Reinforced With Sic Nanoparticles And Graphene/Graphite Prepared By Powder Metallurgy, Jiangshan Zhang, Qing Liu, Shufeng Yang, Zhixin Chen, Qiang Liu, Zhengyi Jiang Jan 2020

Microstructural Evolution Of Hybrid Aluminum Matrix Composites Reinforced With Sic Nanoparticles And Graphene/Graphite Prepared By Powder Metallurgy, Jiangshan Zhang, Qing Liu, Shufeng Yang, Zhixin Chen, Qiang Liu, Zhengyi Jiang

Faculty of Engineering and Information Sciences - Papers: Part A

© 2020 Chinese Materials Research Society The dispersion of ceramic nanoparticles is of significance to the microstructure and properties of particulate reinforced metal matrix composites. In this study, two hybrid enhancers, SiC-graphite and SiC-graphene nanosheets (GNSs), were incorporated into aluminum matrix composites using powder metallurgy. The dispersion of the reinforcements and microstructural evolution of the composites were characterized by using Scanning Electron Microscopy, X-Ray Diffraction, Transmission Electron Microscopy, and Raman spectroscopy. The results show that thin GNSs accelerated the deformation of the aluminum particles, and defects were introduced into the carbonaceous phases during the ball milling process. Al4C3 needles generated during ...


An In Situ Synchrotron Study Of The Localized B2↔B19' Phase Transformation In An Ni-Ti Alloy Subjected To Uniaxial Cyclic Loading-Unloading With Incremental Strains, Xiaohui Bian, Ahmed A. Saleh, Peter Lynch, Christopher Davies, Azdiar Adil Gazder, Elena V. Pereloma Jan 2020

An In Situ Synchrotron Study Of The Localized B2↔B19' Phase Transformation In An Ni-Ti Alloy Subjected To Uniaxial Cyclic Loading-Unloading With Incremental Strains, Xiaohui Bian, Ahmed A. Saleh, Peter Lynch, Christopher Davies, Azdiar Adil Gazder, Elena V. Pereloma

Faculty of Engineering and Information Sciences - Papers: Part A

© 2020. High-resolution in situ synchrotron X-ray diffraction was applied to study a cold-drawn and solution-treated 56Ni-44Tiwt% alloy subjected to uniaxial cyclic loading-unloading with incremental strains. The micro-mechanical behaviour associated with the partial and repeated B2↔B19' phase transformation at the centre of the sample gauge length was studied with respect to the macroscopic stress-strain response. The lattice strains of the (110)B2 and different B19' grain families are affected by (i) the transformation strain, the load-bearing capacity of both phases and the strain continuity maintained at/near the B2-B19' interfaces at the centre of the gauge length, and (ii) the ...


A Noise Study Of The Psw Signature Family: Patching Drs With Uniform Distribution, Arnaud Sipasseuth, Thomas Plantard, Willy Susilo Jan 2020

A Noise Study Of The Psw Signature Family: Patching Drs With Uniform Distribution, Arnaud Sipasseuth, Thomas Plantard, Willy Susilo

Faculty of Engineering and Information Sciences - Papers: Part B

At PKC 2008, Plantard et al. published a theoretical framework for a lattice-based signature scheme, namely Plantard-Susilo-Win (PSW). Recently, after ten years, a new signature scheme dubbed the Diagonal Reduction Signature (DRS) scheme was presented in the National Institute of Standards and Technology (NIST) PQC Standardization as a concrete instantiation of the initial work. Unfortunately, the initial submission was challenged by Yu and Ducas using the structure that is present on the secret key noise. In this paper, we are proposing a new method to generate random noise in the DRS scheme to eliminate the aforementioned attack, and all subsequent ...


Influence Of O2 On The Erosion-Corrosion Performance Of 3cr Steels In Co2 Containing Environment, Lei Xia, Yan Li, Leilei Ma, Hongmei Zhang, Nan Li, Zhengyi Jiang Jan 2020

Influence Of O2 On The Erosion-Corrosion Performance Of 3cr Steels In Co2 Containing Environment, Lei Xia, Yan Li, Leilei Ma, Hongmei Zhang, Nan Li, Zhengyi Jiang

Faculty of Engineering and Information Sciences - Papers: Part B

2020 by the authors. With the introduction of O2 during oil and gas production, the erosion-corrosion rate of tubing steels increases; the objective of this report is to explore the reason for this. Erosion-corrosion experiments were performed in environments of CO2 and CO2-O2, respectively. Macrographs, microstructures, and the compositions of erosion-corrosion scales were investigated using a digital camera, scanning electron microscope (SEM), Kevex-SuperDry energy spectrometer (EDS) and Xray diffraction (XRD). The results show that the erosion-corrosion products are composed of large FeCO3 particles and some amorphous product in the CO2 environment, while they are made up of FeCO3, Fe2O3, Fe3O4 ...


Sparsity-Based Robust Bistatic Mimo Radar Imaging In The Presence Of Array Errors, Wenyu Gao, Jun Li, Daming Zhang, Qinghua Guo Jan 2020

Sparsity-Based Robust Bistatic Mimo Radar Imaging In The Presence Of Array Errors, Wenyu Gao, Jun Li, Daming Zhang, Qinghua Guo

Faculty of Engineering and Information Sciences - Papers: Part B

© 2020 Wenyu Gao et al. A sparse recovery method for robust transmit-receive angle imaging in a bistatic MIMO radar is proposed to deal with the effect of array gain-phase errors. The impact of multiplicative array gain-phase errors is changed to be additive through model reformulation, and transmit-receive angle imaging is formulated to a sparse total least square signal problem. Then, an iterative algorithm is proposed to solve the optimization problem. Compared with existing methods, the proposed method can achieve a significant performance gain in the case that the number of snapshots is small. Simulation results verify the effectiveness of the ...


A Judicious Decision-Making Approach For Power Dispatch In Smart Grid Using A Multiobjective Evolutionary Algorithm Based On Decomposition, Chixin Xiao, Danny Sutanto, Kashem M. Muttaqi, Minjie Zhang Jan 2020

A Judicious Decision-Making Approach For Power Dispatch In Smart Grid Using A Multiobjective Evolutionary Algorithm Based On Decomposition, Chixin Xiao, Danny Sutanto, Kashem M. Muttaqi, Minjie Zhang

Faculty of Engineering and Information Sciences - Papers: Part B

© 1972-2012 IEEE. Multiobjective evolutionary algorithm based on decomposition (MOEA/D) is an efficient mathematical strategy for solving multiobjective optimization problems. However, the MOEA/D algorithm has not yet been widely used on the multiobjective optimal power flow (MOPF) problems, which consider several conflicting objectives with varying tradeoff levels. This article proposes a novel differential evolution (DE) strategy based on the MOEA/D framework to quickly determine a set of optimal solutions of MOPFs, in the objective space formed from the different objectives, such as the most optimal economic dispatch, the least environmental emission objectives, and the minimum transmission losses, while ...


An Integrated Energy Management Approach For The Economic Operation Of Industrial Microgrids Under Uncertainty Of Renewable Energy, Ghulam Mohy-Ud-Din, Dao Hoang Vu, Kashem M. Muttaqi, Danny Sutanto Jan 2020

An Integrated Energy Management Approach For The Economic Operation Of Industrial Microgrids Under Uncertainty Of Renewable Energy, Ghulam Mohy-Ud-Din, Dao Hoang Vu, Kashem M. Muttaqi, Danny Sutanto

Faculty of Engineering and Information Sciences - Papers: Part B

© 1972-2012 IEEE. Many modern industries are equipped with onsite renewable generation and are normally connected to the grid. A battery energy storage system (BESS) can complement the intermittency of the available onsite renewable generation. The combination of the BESS and the renewable generation can operate as a microgrid. If the microgrid is properly sized and managed, it is possible to reduce the electricity bill to have a huge saving in the electricity cost. This article proposes an energy management system for such an industrial microgrids. The decisions to charge and discharge the BESS in the proposed energy management are usually ...


Prospective Associations With Physiological, Psychosocial And Educational Outcomes Of Meeting Australian 24-Hour Movement Guidelines For The Early Years, Trina Hinkley, Anna Timperio, Amanda Watson, Rachel Duckham, Anthony D. Okely, Dylan P. Cliff, Alison Carver, Kylie Hesketh Jan 2020

Prospective Associations With Physiological, Psychosocial And Educational Outcomes Of Meeting Australian 24-Hour Movement Guidelines For The Early Years, Trina Hinkley, Anna Timperio, Amanda Watson, Rachel Duckham, Anthony D. Okely, Dylan P. Cliff, Alison Carver, Kylie Hesketh

Faculty of Social Sciences - Papers

BACKGROUND: Several countries have released movement guidelines for children under 5 that incorporate guidelines for sleep, physical activity and sedentary behavior. This study examines prospective associations of preschool children's compliance with the 24-Hour Australian movement guidelines (sleep, physical activity, screen time) and physiological, psychosocial and educational outcomes during primary school. METHODS: Data were from the Healthy Active Preschool and Primary Years Study (Melbourne, Australia; n = 471; 3-5 years; 2008/9). Follow-ups occurred at 3 (2011/12; 6-8 years), 6 (2014/15; 9-11 years) and 7 (2016; 10-12 years) years post baseline. Multiple regression models assessed associations between compliance with ...


The Ethical, Legal And Social Implications Of Using Artificial Intelligence Systems In Breast Cancer Care, Stacy M. Carter, Wendy Rogers, Khin Than Win, Helen Frazer, Bernadette Richards, Nehmat Houssami Jan 2020

The Ethical, Legal And Social Implications Of Using Artificial Intelligence Systems In Breast Cancer Care, Stacy M. Carter, Wendy Rogers, Khin Than Win, Helen Frazer, Bernadette Richards, Nehmat Houssami

Faculty of Social Sciences - Papers

Breast cancer care is a leading area for development of artificial intelligence (AI), with applications including screening and diagnosis, risk calculation, prognostication and clinical decision-support, management planning, and precision medicine. We review the ethical, legal and social implications of these developments. We consider the values encoded in algorithms, the need to evaluate outcomes, and issues of bias and transferability, data ownership, confidentiality and consent, and legal, moral and professional responsibility. We consider potential effects for patients, including on trust in healthcare, and provide some social science explanations for the apparent rush to implement AI solutions. We conclude by anticipating future ...


Risk Factors Associated With Suicidal Ideation And Suicide Attempts In Bhutan: An Analysis Of The 2014 Bhutan Steps Survey Data, Tashi Dendup, Yun Zhao, Tandin Dorji, Sonam Phuntsho Jan 2020

Risk Factors Associated With Suicidal Ideation And Suicide Attempts In Bhutan: An Analysis Of The 2014 Bhutan Steps Survey Data, Tashi Dendup, Yun Zhao, Tandin Dorji, Sonam Phuntsho

Faculty of Social Sciences - Papers

Suicide is a major public health problem globally. Data on the factors influencing suicidal behaviours that can inform prevention policies are limited in Bhutan. This study used the dataset of the nationally-representative Bhutan STEPS Survey conducted in 2014 that assessed the non-communicable disease risk factors. Using a backward elimination approach, multiple logistic regression analysis accounting for the complex survey design was performed to identify the factors associated with suicidal ideation and suicide attempts in adults separately. The prevalence of suicidal ideation and suicide attempt was 3.1% and 0.7%, respectively. We found female gender, being unemployed, low and middle ...


Learning To Dance, Skye Playsted Jan 2020

Learning To Dance, Skye Playsted

Faculty of Social Sciences - Papers

No abstract provided.


A Crisis Of Underinsurance Threatens To Scar Rural Australia Permanently, Chloe Lucas, Christine Eriksen, David M. J. S Bowman Jan 2020

A Crisis Of Underinsurance Threatens To Scar Rural Australia Permanently, Chloe Lucas, Christine Eriksen, David M. J. S Bowman

Faculty of Social Sciences - Papers

Australia is in the midst of a bushfire crisis that will affect local communities for years, if not permanently, due to a national crisis of underinsurance. Already more than 1,500 homes have been destroyed - with months still to go in the bushfire season. Compare this to 2009, when Victoria's "Black Saturday" fires claimed more than 2,000 homes in February, or 1983, when the "Ash Wednesday" fires destroyed about 2,400 homes in Victoria and South Australia, also in February. The 2020 fire season could end up surpassing these tragedies, despite the lessons learned and improvements in preparedness ...


'Jump Start' Childcare-Based Intervention To Promote Physical Activity In Pre-Schoolers: Six-Month Findings From A Cluster Randomised Trial, Anthony D. Okely, Rebecca M. Stanley, Rachel A. Jones, Dylan P. Cliff, Stewart Trost, Donna Berthelsen, Jo Salmon, Marijka Batterham, Simon Eckermann, John Reilly, Ngiare J. Brown, Karen J. Mickle, Steven J. Howard, Trina Hinkley, Xanne Janssen, Paul A. Chandler, Penny L. Cross, Fay L. Gowers Jan 2020

'Jump Start' Childcare-Based Intervention To Promote Physical Activity In Pre-Schoolers: Six-Month Findings From A Cluster Randomised Trial, Anthony D. Okely, Rebecca M. Stanley, Rachel A. Jones, Dylan P. Cliff, Stewart Trost, Donna Berthelsen, Jo Salmon, Marijka Batterham, Simon Eckermann, John Reilly, Ngiare J. Brown, Karen J. Mickle, Steven J. Howard, Trina Hinkley, Xanne Janssen, Paul A. Chandler, Penny L. Cross, Fay L. Gowers

Faculty of Social Sciences - Papers

BACKGROUND: Participation in adequate levels of physical activity during the early years is important for health and development. We report the 6-month effects of an 18-month multicomponent intervention on physical activity in early childhood education and care (ECEC) settings in low-income communities. METHODS: A cluster randomised controlled trial was conducted in 43 ECEC settings in disadvantaged areas of New South Wales, Australia. Three-year-old children were recruited and assessed in the first half of 2015 with follow-up 6 months later. The intervention was guided by Social Cognitive Theory and included five components. The primary outcome was minutes per hour in total ...


Self-Regulation And Executive Function Longitudinally Predict Advanced Learning In Preschool, Steven J. Howard, Elena Vasseleu Jan 2020

Self-Regulation And Executive Function Longitudinally Predict Advanced Learning In Preschool, Steven J. Howard, Elena Vasseleu

Faculty of Social Sciences - Papers

While the early years are often regarded as a critical period for establishing and supporting the developmental trajectories of delayed and typically developing children, they also represent a critical time for advanced learners. Yet to support advanced learners, a better understanding of sources and mechanisms of precocious early learning is needed. While there is ample research separately indicating importance of executive functions (EFs) and self-regulation for learning more broadly, it remains unclear whether, which, and to what extent EFs and/or self-regulation might account for the incidence of advanced learning in the prior-to-school years. The current study sought to investigate ...