Showing items 1 - 20 of 13541

Limited Memory Bundle Method for Clusterwise Linear Regression

  • Authors: Karmitsa, Napsu , Bagirov, Adil , Taheri, Sona , Joki, Kaisa
  • Date: 2022
  • Type: Text , Book chapter , Book Chapter
  • Relation: Intelligent Systems, Control and Automation: Science and Engineering p. 109-122
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  • Description: A clusterwise linear regression problem consists of finding a number of linear functions each approximating a subset of the given data. In this paper, the limited memory bundle method is modified and combined with the incremental approach to solve this problem using its nonsmooth optimization formulation. The main contribution of the proposed method is to obtain a fast solution time for large-scale clusterwise linear regression problems. The proposed algorithm is tested on small and large real-world data sets and compared with other algorithms for clusterwise linear regression. Numerical results demonstrate that the proposed algorithm is especially efficient in data sets with large numbers of data points and input variables. © 2022, Springer Nature Switzerland AG.

1-Methyl-1 H-pyrazole-5-carboxamide derivatives exhibit unexpected acute mammalian toxicity

  • Authors: Preston, Sarah , Garcia-Bustos, Jose , Hall, Liam , Martin, Sheree , Le, Thuy
  • Date: 2021
  • Type: Text , Journal article
  • Relation: Journal of Medicinal Chemistry Vol. 64, no. 1 (2021), p. 840-844
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  • Description: A series of 1-methyl-1H-pyrazole-5-carboxamides were synthesized as potent inhibitors of the parasitic nematode of sheep, Haemonchus contortus. These compounds did not show overt cytotoxicity to a range of mammalian cell lines under standard in vitro culture conditions, had high selectivity indices, and were progressed to an acute toxicity study in a rodent model. Strikingly, acute toxicity was observed in mice. Experiments measuring cellular respiration showed a dose-dependent inhibition of mitochondrial respiration. Under these conditions, potent cytotoxicity was observed for these compounds in rat hepatocytes suggesting that the potent acute mammalian toxicity of this chemotype is most likely associated with respiratory inhibition. In contrast, parasite toxicity was not correlated to acute toxicity or cytotoxicity in respiring cells. This paper highlights the importance of identifying an appropriate in vitro predictor of in vivo toxicity early on in the drug discovery pipeline, in particular assessment for in vitro mitochondrial toxicity. © 2020 American Chemical Society. *Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Sarah Preston” is provided in this record**

A case study of grinding coarse 5 mm particles into sand grade particles less than 2.36 mm

  • Authors: Reed, Aaron , Koroznikova, Larissa , Khandelwal, Manoj
  • Date: 2021
  • Type: Text , Journal article
  • Relation: Vietnam Journal of Earth Sciences Vol. 43, no. 1 (2021), p. 57-70
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  • Description: This paper presents the viability study of utilising a rod or ball mill to grind a ‘5 mm grit’ to 100% passing 2.36 mm and fit in with a desired particle size analysis. The aim is to introduce this grit into the concrete grade sand produced at the Hanson owned Axedale Sand & Gravel quarry to reduce generated waste and improve the process efficiency. A ball mill and rod mill were used to grind the samples at an interval of 5 and 10 minutes. From the laboratory experimental analysis, it was found that a ball mill with 5 minutes grinding time in closed-circuit using a classifier to remove undersize and reintroduce oversize to the mill would be a viable option in an industrial setting. A Bond Ball Mill Grindability Test was undertaken to determine the grindability of the 5 mm grit, which served to determine the power (kWh/t) required to grind it to 100% passing 2.36 mm. The bond ball mill grindability test showed that the grit had a work index value of 17.66 kWh/t. This work index gives an actual work input of 13.54 kWh/t, meaning that for every ton of feed material introduced to the mill, 13.54 kWh of work input is required to grind it to 150 microns. © 2021 Vietnam Academy of Science and Technology.

A combination of expert-based system and advanced decision-tree algorithms to predict air-overpressure resulting from quarry blasting

  • Authors: He, Ziguang , Armaghani, Danial , Masoumnezhad, Mojtaba , Khandelwal, Manoj , Zhou, Jian , Murlidhar, Bhatawdekar
  • Date: 2021
  • Type: Text , Journal article
  • Relation: Natural Resources Research Vol. 30, no. 2 (2021), p. 1889-1903
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  • Description: This study combined a fuzzy Delphi method (FDM) and two advanced decision-tree algorithms to predict air-overpressure (AOp) caused by mine blasting. The FDM was used for input selection. Thus, the panel of experts selected four inputs, including powder factor, max charge per delay, stemming length, and distance from the blast face. Once the input selection was completed, two decision-tree algorithms, namely extreme gradient boosting tree (XGBoost-tree) and random forest (RF), were applied using the inputs selected by the experts. The models are evaluated with the following criteria: correlation coefficient, mean absolute error, gains chart, and Taylor diagram. The applied models were compared with the XGBoost-tree and RF models using the full set of data without input selection results. The results of hybridization showed that the XGBoost-tree model outperformed the RF model. Concerning the gains, the XGBoost-tree again outperformed the RF model. In comparison with the single decision-tree models, the single models had slightly better correlation coefficients; however, the hybridized models were simpler and easier to understand, analyze and implement. In addition, the Taylor diagram showed that the models applied outperformed some other conventional machine learning models, including support vector machine, k-nearest neighbors, and artificial neural network. Overall, the findings of this study suggest that combining expert opinion and advanced decision-tree algorithms can result in accurate and easy to understand predictions of AOp resulting from blasting in quarry sites. © 2020, International Association for Mathematical Geosciences.

A critical review of intrusion detection systems in the internet of things : techniques, deployment strategy, validation strategy, attacks, public datasets and challenges

  • Authors: Khraisat, Ansam , Alazab, Ammar
  • Date: 2021
  • Type: Text , Journal article
  • Relation: Cybersecurity Vol. 4, no. 1 (2021), p.
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  • Description: The Internet of Things (IoT) has been rapidly evolving towards making a greater impact on everyday life to large industrial systems. Unfortunately, this has attracted the attention of cybercriminals who made IoT a target of malicious activities, opening the door to a possible attack on the end nodes. To this end, Numerous IoT intrusion detection Systems (IDS) have been proposed in the literature to tackle attacks on the IoT ecosystem, which can be broadly classified based on detection technique, validation strategy, and deployment strategy. This survey paper presents a comprehensive review of contemporary IoT IDS and an overview of techniques, deployment Strategy, validation strategy and datasets that are commonly applied for building IDS. We also review how existing IoT IDS detect intrusive attacks and secure communications on the IoT. It also presents the classification of IoT attacks and discusses future research challenges to counter such IoT attacks to make IoT more secure. These purposes help IoT security researchers by uniting, contrasting, and compiling scattered research efforts. Consequently, we provide a unique IoT IDS taxonomy, which sheds light on IoT IDS techniques, their advantages and disadvantages, IoT attacks that exploit IoT communication systems, corresponding advanced IDS and detection capabilities to detect IoT attacks. © 2021, The Author(s).

A field investigation of the relationship between rotating shifts, sleep, mental health and physical activity of Australian paramedics

  • Authors: Khan, Wahaj , Jackson, Melinda , Kennedy, Gerard , Conduit, Russell
  • Date: 2021
  • Type: Text , Journal article
  • Relation: Scientific Reports Vol. 11, no. 1 (2021), p.
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  • Description: Paramedics working on a rotating shift are at an increased risk of developing chronic health issues due to continuous circadian rhythm disruption. The acute effects of shift rotation and objectively measured sleep have rarely been reported in paramedics. This study investigated the relationships between a rotating shift schedule and sleep (using actigraphy), subjective reports of sleepiness, mood, stress and fatigue. Galvanic Skin Response, energy expenditure and physical activity (BodyMedia SenseWear Armband) were also recorded across the shift schedule. Paramedics were monitored for a period of eight consecutive days across pre-shift, day shift, night shift, and 2 days off. Fifteen paramedics (M age = 39.5 and SD = 10.7 years) who worked rotational shifts experienced sleep restriction during night shift compared to pre-shift, day shift and days off (p < 0.001). Night shift was also associated with higher levels of stress (p < 0.05), fatigue (p < 0.05), and sleepiness (p < 0.05). One day off was related to a return to pre-shift functioning. Such shift-related issues have a compounding negative impact on an already stressful occupation with high rates of physical and mental health issues. Therefore, there is an urgent need to investigate methods to reduce rotating shift burden on the health of paramedics. This could be through further research aimed at providing recommendations for shift work schedules with sufficient periods for sleep and recovery from stress. © 2021, The Author(s).

A global-scale screening of non-native aquatic organisms to identify potentially invasive species under current and future climate conditions

  • Authors: Vilizzi, Lorenzo , Copp, Gordon , Hill, Jeffrey , Adamovich, Boris , Lloyd, Lance
  • Date: 2021
  • Type: Text , Journal article
  • Relation: Science of the Total Environment Vol. 788, no. (2021), p.
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  • Description: The threat posed by invasive non-native species worldwide requires a global approach to identify which introduced species are likely to pose an elevated risk of impact to native species and ecosystems. To inform policy, stakeholders and management decisions on global threats to aquatic ecosystems, 195 assessors representing 120 risk assessment areas across all six inhabited continents screened 819 non-native species from 15 groups of aquatic organisms (freshwater, brackish, marine plants and animals) using the Aquatic Species Invasiveness Screening Kit. This multi-lingual decision-support tool for the risk screening of aquatic organisms provides assessors with risk scores for a species under current and future climate change conditions that, following a statistically based calibration, permits the accurate classification of species into high-, medium- and low-risk categories under current and predicted climate conditions. The 1730 screenings undertaken encompassed wide geographical areas (regions, political entities, parts thereof, water bodies, river basins, lake drainage basins, and marine regions), which permitted thresholds to be identified for almost all aquatic organismal groups screened as well as for tropical, temperate and continental climate classes, and for tropical and temperate marine ecoregions. In total, 33 species were identified as posing a ‘very high risk’ of being or becoming invasive, and the scores of several of these species under current climate increased under future climate conditions, primarily due to their wide thermal tolerances. The risk thresholds determined for taxonomic groups and climate zones provide a basis against which area-specific or climate-based calibrated thresholds may be interpreted. In turn, the risk rankings help decision-makers identify which species require an immediate ‘rapid’ management action (e.g. eradication, control) to avoid or mitigate adverse impacts, which require a full risk assessment, and which are to be restricted or banned with regard to importation and/or sale as ornamental or aquarium/fishery enhancement. © 2021 The Authors. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Lance Lloyd" is provided in this record**

A labour of love : reward and satisfaction for nurses : findings from a grounded theory study in dementia care

  • Authors: Gilbert, Julia , Ward, Louise , Walter, Ruby
  • Date: 2021
  • Type: Text , Journal article
  • Relation: Dementia Vol. 20, no. 5 (2021), p. 1697-1710
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  • Description: Aim: To understand nurses’ perceptions of quality nursing care in the dementia-specific care unit. As the world’s population ages, the incidence of dementia is projected to rise in tandem. The requirement for skilled, dementia-trained registered nurses who can provide quality nursing care will need to increase accordingly to meet the needs of these individuals. Extensive research has been completed on dementia nursing care in a variety of settings; however, little research has been undertaken into nurses’ perceptions of quality nursing care in the dementia-specific care unit. Understanding how registered nurses perceive quality nursing care in the dementia-specific care unit is important and provides valuable information about nursing practice in this environment for nurses and decision-makers. Gaining a better understanding of quality nursing care in this care unit may result in better nurse education and an improved patient experience. It may also assist nursing organisations, residential aged-care facilities, government bodies and nongovernment agencies that support, manage, and oversee dementia-specific care units. Method: A grounded theory study was conducted to understand nurses’ perceptions of quality nursing care in dementia-specific care units. The study involved interviewing nine registered nurses working in two dementia-specific care units on the Gold Coast, Queensland. Data were collected during semi-structured interviews and analysed using both constant comparison and thematic analysis. Findings: Three themes emerged from this study—Caring at the Coalface, Labour of love and the Business of Dementia Healthcare. The largest theme, Labour of love, represents the personal reward and feeling of satisfaction six nurses said they experienced when interacting with individuals living in the dementia-specific care unit. They identified and repeatedly discussed the joy and fulfilment they experienced when caring for them, and considered this to be an essential element of quality nursing care. It was evident from the data that the nurses cared very deeply about these individuals, and despite increased risks to personal safety at work, they did not want to work anywhere else. This article reports on the largest and key theme identified in the study Labour of Love. © The Author(s) 2020.

A modified MTS proliferation assay for suspended cells to avoid the interference by hydralazine and β-Mercaptoethanol

  • Authors: Wang, Yutang , Nguyen, Dinh , Anesi, Jack , Kelly, Jason , Ahmady, Fahima , Charchar, Fadi
  • Date: 2021
  • Type: Text , Journal article
  • Relation: Assay and Drug Development Technologies Vol. 19, no. 3 (2021), p. 184-190. https://purl.org/au-research/grants/nhmrc/1062671
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  • Description: The 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium (MTS) assay is one of the most commonly used tests of cell proliferation. Hydralazine has been reported to interfere with the performance of the MTS assay when used on adherent cells. This study aimed to investigate whether hydralazine interferes with the performance of the MTS assay on suspended cells. THP-1 (a monocytic leukemia cell line) cells were cultured in the presence or absence of hydralazine (0, 10, 50, 100, and 500 μM) for 2 or 24 h. Cell numbers were analyzed using the MTS, trypan blue exclusion, or microscopic assays. A modified version of the standard MTS assay was established by centrifuging the cells and replacing the test medium with fresh culture medium immediately before the addition of the MTS reagent. Culture of THP-1 cells with hydralazine at concentrations of 50, 100, and 500 μM for 2 h increased absorbance (p < 0.001) in the standard MTS assay, whereas both the trypan blue exclusion assay and microscopy suggested no change in cell numbers. Culture of THP-1 cells with 100 and 500 μm hydralazine for 24 h increased absorbance (p < 0.05) in the standard MTS assay; however, trypan blue exclusion and microscopy suggested a decrease in cell numbers. In a cell-free system, hydralazine (100 and 500 μM) increased absorbance in a time- and concentration-dependent manner. The modified MTS assay produced results consistent with trypan blue exclusion and microscopy using THP-1 cells. In addition, the modified MTS assay produced reliable results when K562 and Jurkat cells were incubated with hydralazine or β-mercaptoethanol (βME). In conclusion, a simple modification of the standard MTS assay overcame the interference of hydralazine and βME when assessing suspended cells. © Copyright 2021, Mary Ann Liebert, Inc., publishers 2021. *Please note that there are multiple authors for this article therefore only the name of the Federation University Australia affiliates “Yutang Wang, Dinh Nguyen, Jack Anesi, Jason Kelly, Fahima Ahmady, Fadi Charchar" is provided in this record**

A new global index for short term voltage stability assessment

  • Authors: Alshareef, Abdulrhman , Shah, Rakibuzzaman , Mithulananthan, Nadarajah , Alzahrani, Saeed
  • Date: 2021
  • Type: Text , Journal article
  • Relation: IEEE Access Vol. 9, no. (2021), p. 36114-36124
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  • Description: The utility scale of non-conventional generators (NCGs), such as wind and photovoltaic (PV) plants, are competitive alternatives to synchronous machines (SMs) for power generation. Higher penetration of NCGs has been respondent of causing several recent incidents leading up to voltage collapse in power systems due to the distinct characteristics of NCGs under different operating conditions. Consequently, the so-called system strength has been reduced with higher NCGs penetration. A number of indices have been developed to quantify system strength from the short-term voltage stability (STVS) perspective. None of the indices capture the overall performances of power systems on dynamic voltage recovery. In this paper, an improvement in one of the STVS indices namely, the Voltage Recovery Index (VRI), is proposed to overcome shortcomings in the original index. Moreover, the improved index is globalized to establish a new index defined as system voltage recovery index (VRIsys) to quantify STVS at the system level. The amended VRI and developed VRIsys are used in systematic simulations to quantify the impact and interaction of various factors that could affect system strength. The assessment was conducted using time-domain simulation with direct connected induction motors (DCIMs) and a proliferation of converter-based technologies on both the generation and load sides, namely, NCGs and Variable Speed Drives (VSDs), respectively. © 2013 IEEE.

A new proof of Balinski's theorem on the connectivity of polytopes

  • Authors: Pineda-Villavicencio, Guillermo
  • Date: 2021
  • Type: Text , Journal article
  • Relation: Discrete Mathematics Vol. 344, no. 7 (2021), p.
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  • Description: Balinski (1961) proved that the graph of a d-dimensional convex polytope is d-connected. We provide a new proof of this result. Our proof provides details on the nature of a separating set with exactly d vertices; some of which appear to be new. © 2021 Elsevier B.V.

A new regularity criterion of weak solutions to the 3D micropolar fluid flows in terms of the pressure

A patient agent controlled customized blockchain based framework for internet of things

  • Authors: Uddin, Md Ashraf
  • Date: 2021
  • Type: Text , Thesis , PhD
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  • Description: Although Blockchain implementations have emerged as revolutionary technologies for various industrial applications including cryptocurrencies, they have not been widely deployed to store data streaming from sensors to remote servers in architectures known as Internet of Things. New Blockchain for the Internet of Things models promise secure solutions for eHealth, smart cities, and other applications. These models pave the way for continuous monitoring of patient’s physiological signs with wearable sensors to augment traditional medical practice without recourse to storing data with a trusted authority. However, existing Blockchain algorithms cannot accommodate the huge volumes, security, and privacy requirements of health data. In this thesis, our first contribution is an End-to-End secure eHealth architecture that introduces an intelligent Patient Centric Agent. The Patient Centric Agent executing on dedicated hardware manages the storage and access of streams of sensors generated health data, into a customized Blockchain and other less secure repositories. As IoT devices cannot host Blockchain technology due to their limited memory, power, and computational resources, the Patient Centric Agent coordinates and communicates with a private customized Blockchain on behalf of the wearable devices. While the adoption of a Patient Centric Agent offers solutions for addressing continuous monitoring of patients’ health, dealing with storage, data privacy and network security issues, the architecture is vulnerable to Denial of Services(DoS) and single point of failure attacks. To address this issue, we advance a second contribution; a decentralised eHealth system in which the Patient Centric Agent is replicated at three levels: Sensing Layer, NEAR Processing Layer and FAR Processing Layer. The functionalities of the Patient Centric Agent are customized to manage the tasks of the three levels. Simulations confirm protection of the architecture against DoS attacks. Few patients require all their health data to be stored in Blockchain repositories but instead need to select an appropriate storage medium for each chunk of data by matching their personal needs and preferences with features of candidate storage mediums. Motivated by this context, we advance third contribution; a recommendation model for health data storage that can accommodate patient preferences and make storage decisions rapidly, in real-time, even with streamed data. The mapping between health data features and characteristics of each repository is learned using machine learning. The Blockchain’s capacity to make transactions and store records without central oversight enables its application for IoT networks outside health such as underwater IoT networks where the unattended nature of the nodes threatens their security and privacy. However, underwater IoT differs from ground IoT as acoustics signals are the communication media leading to high propagation delays, high error rates exacerbated by turbulent water currents. Our fourth contribution is a customized Blockchain leveraged framework with the model of Patient-Centric Agent renamed as Smart Agent for securely monitoring underwater IoT. Finally, the smart Agent has been investigated in developing an IoT smart home or cities monitoring framework. The key algorithms underpinning to each contribution have been implemented and analysed using simulators.
  • Description: Doctor of Philosophy

A seamless wedding : comedy, diversity, and the international

A small-scale test for rapid assessment of the soil development potential in post-mining soils

  • Authors: Bucka, Franziska , Pihlap, Evelin , Kaiser, Jara , Baumgartl, Thomas , Kögel-Knabner, Ingrid
  • Date: 2021
  • Type: Text , Journal article
  • Relation: Soil and Tillage Research Vol. 211, no. (2021), p.
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  • Description: When ceasing brown coal mining activities, the restoration of the disturbed landscape is required, and a rapid development of functional soils is of utter importance for the rehabilitation of these areas. In order to accelerate soil development and rehabilitation, soils are designed or engineered by applying alternative approaches in order to construct a soil-like substrate, e.g., by mixing different substrates and organic carbon (OC) sources. We used a rapid and easy to perform laboratory approach to simulate the initial steps of soil development. We investigated the mixtures’ properties and the initial development of soil structure, in order to identify suitable soil mixtures for subsequent field trials. We tested six different mixtures composed of increasing complexity, based on the mixture used for a rehabilitation program at a coal mine in southern Australia. The components were overburden, fly ash, paper mulch, brown coal and plant litter. We performed a short-term laboratory incubation in regularly irrigated microcosms for forty days at constant water tension. Our results showed that the addition of fly ash to the overburden led to a higher moisture content. Fly ash together with paper mulch and brown coal improved nutrient supply and OC content, but led also to a very wide C/N ratio >95. The molecular composition of the paper mulch and brown coal OC shows the potential for long-term OC storage because of slow microbial degradation. Microbial activity, as measured by CO2 release, was high in all mixtures with litter addition, but only the additional presence of fly ash, brown coal and paper mulch led to a higher microbial carbon use efficiency (CUE). Soil structure formation, as measured by isolating water-stable aggregates, was induced in all mixtures and intensified in the presence of litter. In the mixtures with litter, there was a predominant formation of large macroaggregates (0.63−30 mm) which stored >80 % of the total OC. We suggest that the complex rehabilitation mixture indicates the potential for soil structure development within a short timeframe also in field scale, because the tested substrates are known to store moisture, deliver nutrients and OC for sustainable microbial growth. © 2021 Elsevier B.V.

A smart priority-based traffic control system for emergency vehicles

  • Authors: Karmakar, Gour , Chowdhury, Abdullahi , Kamruzzaman, Joarder , Gondal, Iqbal
  • Date: 2021
  • Type: Text , Journal article
  • Relation: IEEE Sensors Journal Vol. 21, no. 14 (2021), p. 15849-15858
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  • Description: Unwanted events on roads, such as incidents and increased traffic jams, can cause human lives and economic loss. For efficient incident management, it is essential to send Emergency Vehicles (EVs) to the incident place as quickly as possible. To reduce incidence clearance time, several approaches exist to provide a clear pathway to EVs mainly fitted with RFID sensors in the urban areas. However, they neither assign priority to the EVs based on the type and severity of an incident nor consider the effect on other on-road traffic. To address this issue, in this paper, we introduce an Emergency Vehicle Priority System (EVPS) by determining the priority level of an EV based on the type and the severity of an incident, and estimating the number of necessary signal interventions while considering the impact of those interventions on the traffic in the roads surrounding the EV's travel path. We present how EVPS determines the priority code and a new algorithm to estimate the number of green signal interventions to attain the quickest incident response while concomitantly reducing impact on others. A simulation model is developed in Simulation of Urban Mobility (SUMO) using the real traffic data of Melbourne, Australia, captured by various sensors. Results show that our system recommends appropriate number of intervention that can reduce emergency response time significantly. © 2001-2012 IEEE.

A survey of early-career researchers in Australia

  • Authors: Christian, Katherine , Johnstone, Carolyn , Larkins, Jo-ann , Wright, Wendy , Doran, Michael
  • Date: 2021
  • Type: Text , Journal article
  • Relation: eLife Vol. 10, no. (2021), p. 1-19
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  • Description: Early-career researchers (ECRs) make up a large portion of the academic workforce and their experiences often reflect the wider culture of the research system. Here we surveyed 658 ECRs working in Australia to better understand the needs and challenges faced by this community. Although most respondents indicated a ‘love of science’, many also expressed an intention to leave their research position. The responses highlight how job insecurity, workplace culture, mentorship and ‘questionable research practices’ are impacting the job satisfaction of ECRs and potentially compromising science in Australia. We also make recommendations for addressing some of these concerns. © Christian et al.

A systematic review of alcohol education programs for young people : do these programs change behavior?

  • Authors: Calverley, Hannah , Petrass, Lauren , Blitvich, Jennifer
  • Date: 2021
  • Type: Text , Journal article
  • Relation: Health education research Vol. 36, no. 1 (2021), p. 87-99
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  • Description: Numerous education programs have addressed young peoples' alcohol use. To date, no peer-reviewed publication has evaluated the effectiveness of such programs delivered across a range of contexts to change alcohol-related behaviors, attitudes and/or knowledge. This systematic review aimed to identify alcohol education programs addressing young people, and determine whether they changed alcohol-related behavior, knowledge and attitudes; and, ascertain components of successful programs. Studies were identified, guided by the PRISMA review process, from the earliest records until June 2020. Included studies (N = 70) comprised an alcohol education program which focused on young people (15-24 years). Forty programs reported behavior changes, and these programs were the highest quality. Others impacted attitudes and/or knowledge only (n = 12); or reported no impacts (n = 17). Recent programs were more likely than older programs to feature online delivery and report behavior changes. To enhance alcohol education, future programs should include the identified quality criteria, alongside process and long-term outcome evaluations, to better monitor effectiveness. Findings indicated some education programs have capacity to positively change alcohol-related behavior; however, outcome consistency varied even in high-quality programs. Alcohol education programs should be designed alongside health education/promotion models and best-practice recommendations, to improve the likelihood of desirable behavior-related outcomes. © The Author(s) 2020. Published by Oxford University Press. All rights reserved. For permissions, please email: journals.permissions@oup.com.

A3Graph : adversarial attributed autoencoder for graph representation learning

  • Authors: Hou, Mingliang , Wang, Lei , Liu, Jiaying , Kong, Xiangjie , Xia, Feng
  • Date: 2021
  • Type: Text , Conference paper
  • Relation: 36th Annual ACM Symposium on Applied Computing, SAC 2021 p. 1697-1704
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  • Description: Recent years have witnessed a proliferation of graph representation techniques in social network analysis. Graph representation aims to map nodes in the graph into low-dimensional vector space while preserving as much information as possible. However, most existing methods ignore the robustness of learned latent vectors, which leads to inferior representation results due to sparse and noisy data in graphs. In this paper, we propose a novel framework, named A3Graph, which aims to improve the robustness and stability of graph representations. Specifically, we first construct an aggregation matrix by the combining positive point-wise mutual information matrix with the attribute matrix. Then, we enforce the autoencoder to reconstruct the aggregation matrix instead of the input attribute matrix. The enhancement autoencoder can incorporate structural and attributed information in a joint learning way to improve the noise-resilient during the learning process. Furthermore, an adversarial learning component is leveraged in our framework to impose a prior distribution on learned representations has been demonstrated as an effective mechanism in improving the robustness and stability in representation learning. Experimental studies on real-world datasets have demonstrated the effectiveness of the proposed A3Graph. © 2021 ACM.

Adaptive Dynamic Programming based Control Scheme for Uncertain Two-Wheel Robots

  • Authors: Van Nguyen, Thien , Le, Hai , Tran, Hoang , Nguyen, Duc , Nguyen, Minh , Nguyen, Linh
  • Date: 2021
  • Type: Text , Conference paper , Conference Paper
  • Relation: 2021 IEEE International Conference on Autonomous Robot Systems and Competitions, ICARSC 2021, 28 April 2021 through 29 April 2021 p. 111-116
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  • Description: The paper addresses the problem of effectively controlling a two-wheel robot given its inherent non-linearity and parameter uncertainties. In order to deal with the unknown and uncertain dynamics of the robot, it is proposed to employ the adaptive dynamic programming, a reinforcement learning based technique, to develop an optimal control law. It is interesting that the proposed algorithm does not require kinematic parameters while finding the optimal state controller is guaranteed. Moreover, convergence of the optimal control scheme is theoretically proved. The proposed approach was implemented in a synthetic two-wheel robot where the obtained results demonstrate its effectiveness. © 2021 IEEE.