Showing items 181 - 200 of 14283

Dissolved gas analysis for power transformers within distributed renewable generation-based systems

- Cui, Huize, Yang, Liuqing, Zhu, Yuanwei, Li, Shengtao, Abu-Siada, A., Islam, Syed

  • Authors: Cui, Huize , Yang, Liuqing , Zhu, Yuanwei , Li, Shengtao , Abu-Siada, A. , Islam, Syed
  • Date: 2021
  • Type: Text , Journal article
  • Relation: IEEE Transactions on Dielectrics and Electrical Insulation Vol. 28, no. 4 (2021), p. 1349-1356
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  • Description: In this paper, a series of laboratory experiments are conducted to investigate the effect of momentary small variations in the transformer operating temperature on the dissolved gas analysis (DGA) measurement. With the increased penetration level of renewable energy sources of intermittent characteristics into electricity grids, operating power transformers are expected to experience frequent temperature variations. Sampling transformer oil during such temperature variation leads to inaccurate diagnosis. Experimental results reveal that gas evolution in transformer oil is greatly affected by the small variations in the operating temperature. Such small variation can be a result of the intermittent generation characteristics of renewable energy sources. Hence, false analysis may be reported if oil is sampled during generation or load fluctuation events. Experimental results are explained through chemical equilibrium constant theory, which indicates that dissolved gases reflect the change in aging rate of the transformer oil-paper insulation system. These results suggest a new paradigm for DGA process through correlating measurements with the transformer operating temperature through the generation and load profiles at the instant of oil sampling. © 1994-2012 IEEE.

Distributed denial of service attack detection using machine learning and class oversampling

- Shafin, Sakib, Prottoy, Shafin, Abbas, Saif, Hakim, Safayat, Chowdhury, Abdullahi, Rashid, Md Mamanur

  • Authors: Shafin, Sakib , Prottoy, Shafin , Abbas, Saif , Hakim, Safayat , Chowdhury, Abdullahi , Rashid, Md Mamanur
  • Date: 2021
  • Type: Text , Conference paper
  • Relation: First International Conference on Applied Intelligence and Informatics, AII 2021, Nottingham, UK, July 30-31, 2021 Vol. 1435, p. 247-259
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  • Description: Distributed Denial of Services (DDoS) attack, one of the most dangerous types of cyber attack, has been reported to increase during the COVID-19 pandemic. Machine learning techniques have been proposed in the literature to build models to detect DDoS attacks. Existing works in literature tested their models with old datasets where DDoS attacks are not specific. These works mainly focus on detecting the presence of an attack rather than the type of DDoS attacks. However, detection of the attack type is vital for the review and analysis of enterprise-level security policy. Cyber-attacks are inherently an imbalanced data problem, but none of the models treated DDoS attack detection from this perspective. In this work, we present a machine learning model that takes the imbalance nature of the DDoS attack data into consideration for both presence/absence and the type of DDoS attack detection. Extensive experiment analysis with the recent and DDoS attack-specific dataset shows that the proposed technique can effectively identify DDoS attacks. © 2021, Springer Nature Switzerland AG.

Diversified and scalable service recommendation with accuracy guarantee

- Wang, Lina, Zhang, Xuyun, Wang, Tian, Wan, Shaohua, Pang, Shaoning

  • Authors: Wang, Lina , Zhang, Xuyun , Wang, Tian , Wan, Shaohua , Pang, Shaoning
  • Date: 2021
  • Type: Text , Journal article
  • Relation: IEEE Transactions on Computational Social Systems Vol. 8, no. 5 (2021), p. 1182-1193
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  • Description: As one of the most successful recommendation techniques, neighborhood-based collaborative filtering (CF), which recommends appropriate items to a target user by identifying similar users or similar items, has been widely applied to various recommender systems. Although many neighbor-based CF methods have been put forward, there are still some open issues that have remained unsolved. First, the ever-increasing volume of user-item rating data decreases the recommendation efficiency significantly as a recommender system needs to analyze all the rating data when searching for similar neighbors or similar items. In this situation, users' requirements on quick response may not be met. Second, in neighbor-based CF methods, more attention is paid to the recommendation accuracy while other key indicators of recommendation performances are often ignored, i.e., recommendation diversity (RD), which probably produces similar or redundant items in the recommended list and decreases users' satisfaction. Considering these issues, a diversified and scalable recommendation method (called DR_LT) based on locality-sensitive hashing and cover tree is proposed in this article, where the item topic information is used to optimize the final recommended list. We show the effectiveness of our proposed method through a set of experiments on MovieLens data set that clearly shows the feasibility of our proposal in terms of item recommendation accuracy, diversity, and scalability. © 2014 IEEE. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Shaoning Pang” is provided in this record**

Do primary rainforest tree species recruit into passively and actively restored tropical rainforest?

- Pohlman, Catherine, Tng, David, Florentine, Singarayer

  • Authors: Pohlman, Catherine , Tng, David , Florentine, Singarayer
  • Date: 2021
  • Type: Text , Journal article
  • Relation: Forest Ecology and Management Vol. 496, no. (2021), p.
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  • Description: Restoring tropical rainforests is becoming increasingly urgent. However, in most restoration plantings it is not possible to include the full suite of species found in the original rainforest. Full recovery of species composition thus depends on the dispersal and recruitment of species that are not planted. In many restoration projects, however, recruitment is dominated by a low diversity of regionally-abundant pioneer species and species with small, easily dispersed seeds. These species are characteristic of secondary rainforest and do not include the far more diverse suite of species characteristic of the original, primary rainforest. Such primary rainforest species are usually more vulnerable to the effects of fragmentation than disturbance-adapted pioneers and thus are of greater conservation concern, as well as being required for the full recovery of many important ecosystem functions. As restoring ecosystem processes is one of the central goals of restoration, this raises the question of which, if any, of the available rainforest restoration methods may be used to promote the recruitment of primary rainforest species. We compared the species composition and functional group composition of recruited trees and shrubs in a 25-year-old restoration experiment with those of the originally planted trees, and with nearby primary rainforest and secondary rainforest reference sites in an area of upland rainforest in north-eastern Australia. Our objective was to compare the performance of four commonly-used restoration methods: (i) unassisted (passive) regeneration, (ii) Pioneer Monoculture plantings, (iii) Framework Method plantings, and (iv) Maximum Diversity plantings. The species composition and functional group composition of recruited individuals within all treatments were similar to those of secondary rainforest and highly dissimilar to both primary rainforest and plantations. Pioneer species, species with small, biotically-dispersed diaspores, and canopy trees were over-represented among both recruited individuals and in secondary rainforest. Conversely, climax species, species with large, biotically-dispersed diaspores, species with abiotically-dispersed diaspores, and understorey trees were under-represented among both recruited individuals and secondary rainforest. Restoration treatments had little effect on the species or functional group composition of recruited individuals. Our results indicate that species from nearby primary rainforest almost completely failed to recruit into any of the restoration treatments. We argue that this failure was most likely due to the absence of frugivores able to disperse larger diaspores from both secondary forest and restored forest in our study site. Further direct management intervention will be required to restore primary rainforest plant species to restored forests in this region. © 2021 Elsevier B.V.

Does CD1a expression influence T cell function in patients with langerhans cell histiocytosis?

- Mitchell, Jenee, Kannourakis, George

  • Authors: Mitchell, Jenee , Kannourakis, George
  • Date: 2021
  • Type: Text , Journal article
  • Relation: Frontiers in Immunology Vol. 12, no. (2021), p.
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  • Description: Langerhans cell histiocytosis lesions are characterized by CD1a+ myeloid lineage LCH cells and an inflammatory infiltrate of cytokines and immune cells, including T cells. T cells that recognize CD1a may be implicated in the pathology of many disease states including cancer and autoimmunity but have not been studied in the context of LCH despite the expression of CD1a by LCH cells. In this perspective article, we discuss the expression of CD1a by LCH cells, and we explore the potential for T cells that recognize CD1a to be involved in LCH pathogenesis. Copyright © 2021 Mitchell and Kannourakis.

Does climate play any role in covid-19 spreading? : an Australian perspective

- Abraham, Joji, Turville, Christopher, Dowling, Kim, Florentine, Singarayer

  • Authors: Abraham, Joji , Turville, Christopher , Dowling, Kim , Florentine, Singarayer
  • Date: 2021
  • Type: Text , Journal article
  • Relation: International Journal of Environmental Research and Public Health Vol. 18, no. 17 (2021), p.
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  • Description: Compared to other countries, the COVID-19 pandemic did not severely affect Australia as measured by total deaths until mid-2021. Though a substantial number of daily confirmed cases (up to 698) were reported during the second wave, most of them were from the southern state of Victoria. This study examined the possible correlations between climate variables and the number of daily confirmed COVID-19 cases in Victoria, Australia, from 25 January to 31 October 2020. Appropriate regression models and cross-correlation diagnostics were used to examine the effect of temperature, rainfall, solar exposure, and ultraviolet index (UVI) with the number of daily confirmed cases. Significant positive associations were identified for solar exposure and maximum and average UVI for confirmed cases one and 19 days later. Negative associations for these variables were found for confirmed cases five days later. Minimum temperature had a significant negative correlation one day later and a positive effect 21 days later. No significant correlation was found for maximum temperature and rainfall. The most significant relationships were found for confirmed cases 19 days after changes in the meteorological variables. A 1% increase in solar exposure, maximum UVI, and average UVI was associated with a 0.31% (95% CI: 0.13 to 0.51), 0.71% (95% CI: 0.43 to 0.98), and 0.63% (95%CI: 0.20 to 1.61) increase 19 days later in the number of confirmed cases, respectively. The implications of these results can be used in the public health management of any possible future events in Australia. It also highlights the significance of considering the climatic variables and seasonality in all kinds of epidemics and pandemics. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Does compliance with Green Bond Principles bring any benefit to make G20’s ‘Green economy plan’ a reality?

- Nanayakkara, Kariyawasam, Colombage, Sisira

  • Authors: Nanayakkara, Kariyawasam , Colombage, Sisira
  • Date: 2021
  • Type: Text , Journal article
  • Relation: Accounting and Finance Vol. 61, no. 3 (2021), p. 4257-4285
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  • Description: We examine the impact and degree of compliance with Green Bond Principles (GBPs) on investor demand for Green Bonds (GBs) in G20 countries by employing cross-sectional regression to analyse data over the period 2007–2016. After controlling for common bond-specific and macroeconomic variables, we find a significant positive impact of higher compliance with principles on investor demand, as measured by bid-ask spread and yield spread. We show that GBs issued by government institutions are able to minimise the adverse effects of low compliance with GBPs and the investor demand for fixed-coupon GBs is higher than float-coupon GBs. © 2020 Accounting and Finance Association of Australia and New Zealand

Draft genome sequences of four citrobacter isolates recovered from wild australian shorebirds

- Smith, Hannah, Bean, David, Pitchers, William, Valcanis, Mary, Clarke, Rohan, Loyn, Richard, Hassell, Chris, Greenhill, Andrew

  • Authors: Smith, Hannah , Bean, David , Pitchers, William , Valcanis, Mary , Clarke, Rohan , Loyn, Richard , Hassell, Chris , Greenhill, Andrew
  • Date: 2021
  • Type: Text , Journal article
  • Relation: Microbiology Resource Announcements Vol. 10, no. 1 (2021), p.
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  • Description: Citrobacter is a ubiquitous bacterial genus whose members inhabit a variety of niches. Some species are clinically important for both antimicrobial resistance (AMR) carriage and as the cause of nosocomial infections. Surveillance of Citrobacter species in the environment can provide indicators of the spread of AMR genes outside clinical spaces. In this study, we present draft genome sequences of four Citrobacter isolates obtained from three species of wild Australian shorebirds. Copyright © 2021 Smith et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

Drivers of seedling establishment success in dryland restoration efforts

- Shackelford, Nancy, Paterno, Gustavo, Winkler, Daniel, Erickson, Todd, Wong, Megan

  • Authors: Shackelford, Nancy , Paterno, Gustavo , Winkler, Daniel , Erickson, Todd , Wong, Megan
  • Date: 2021
  • Type: Text , Journal article
  • Relation: Nature Ecology and Evolution Vol. 5, no. 9 (2021), p. 1283-1290
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  • Description: Restoration of degraded drylands is urgently needed to mitigate climate change, reverse desertification and secure livelihoods for the two billion people who live in these areas. Bold global targets have been set for dryland restoration to restore millions of hectares of degraded land. These targets have been questioned as overly ambitious, but without a global evaluation of successes and failures it is impossible to gauge feasibility. Here we examine restoration seeding outcomes across 174 sites on six continents, encompassing 594,065 observations of 671 plant species. Our findings suggest reasons for optimism. Seeding had a positive impact on species presence: in almost a third of all treatments, 100% of species seeded were growing at first monitoring. However, dryland restoration is risky: 17% of projects failed, with no establishment of any seeded species, and consistent declines were found in seeded species as projects matured. Across projects, higher seeding rates and larger seed sizes resulted in a greater probability of recruitment, with further influences on species success including site aridity, taxonomic identity and species life form. Our findings suggest that investigations examining these predictive factors will yield more effective and informed restoration decision-making. © 2021, The Author(s), under exclusive licence to Springer Nature Limited. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Megan Wong” is provided in this record** Author Correction: Drivers of seedling establishment success in dryland restoration efforts (Nature Ecology & Evolution, (2021), 5, 9, (1283-1290), 10.1038/s41559-021-01510-3). https://doi.org/10.1038/s41559-021-01544-7
  • Description: Restoration of degraded drylands is urgently needed to mitigate climate change, reverse desertification and secure livelihoods for the two billion people who live in these areas. Bold global targets have been set for dryland restoration to restore millions of hectares of degraded land. These targets have been questioned as overly ambitious, but without a global evaluation of successes and failures it is impossible to gauge feasibility. Here we examine restoration seeding outcomes across 174 sites on six continents, encompassing 594,065 observations of 671 plant species. Our findings suggest reasons for optimism. Seeding had a positive impact on species presence: in almost a third of all treatments, 100% of species seeded were growing at first monitoring. However, dryland restoration is risky: 17% of projects failed, with no establishment of any seeded species, and consistent declines were found in seeded species as projects matured. Across projects, higher seeding rates and larger seed sizes resulted in a greater probability of recruitment, with further influences on species success including site aridity, taxonomic identity and species life form. Our findings suggest that investigations examining these predictive factors will yield more effective and informed restoration decision-making. © 2021, The Author(s), under exclusive licence to Springer Nature Limited. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Megan Wong” is provided in this record**

Duration of intervals in the care seeking pathway for lung cancer in Bangladesh : a journey from symptoms triggering consultation to receipt of treatment

- Ansar, Adnan, Lewis, Virginia, McDonald, Christine, Liu, , Chaojie, Rahman, Muhammad Aziz

  • Authors: Ansar, Adnan , Lewis, Virginia , McDonald, Christine , Liu, , Chaojie , Rahman, Muhammad Aziz
  • Date: 2021
  • Type: Text , Journal article
  • Relation: PLoS ONE Vol. 16, no. 9 September (2021), p.
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  • Description: Timeliness in seeking care is critical for lung cancer patients survival and better prognosis. The care seeking trajectory of patients with lung cancer in Bangladesh has not been explored, despite the differences in health systems and structures compared to high income countries. This study investigated the symptoms triggering healthcare seeking, preferred healthcare providers (including informal healthcare providers such as pharmacy retailers, village doctors, and "traditional healers"), and the duration of intervals in the lung cancer care pathway of patients in Bangladesh. A cross-sectional study was conducted in three tertiary care hospitals in Bangladesh among diagnosed lung cancer patients through face-Toface interview and medical record review. Time intervals from onset of symptom and care seeking events were calculated and compared between those who sought initial care from different providers using Wilcoxon rank sum tests. Among 418 study participants, the majority (90%) of whom were males, with a mean age of 57 ±9.86 years, cough and chest pain were the most common (23%) combination of symptoms triggering healthcare seeking. About two-Thirds of the total respondents (60%) went to informal healthcare providers as their first point of contact. Living in rural areas, lower levels of education and lower income were associated with seeking care from such providers. The median duration between onset of symptom to confirmation of diagnosis was 121 days, between confirmation of diagnosis and initiation of treatment was 22 days, and between onset of symptom and initiation of treatment was 151 days. Pre-diagnosis durations were longer for those who had sought initial care from an informal provider (p<0.05). Time to first contact with a health provider was shorter in this study compared to other developed and developing countries but utilizing informal healthcare providers caused delays in diagnosis and initiation of treatment. Encouraging people to seek care from a formal healthcare provider may reduce the overall duration of the care seeking pathway. © 2021 Public Library of Science. All rights reserved.

Dynamic point cloud compression using a cuboid oriented discrete cosine based motion model

- Ahmmed, Ashek, Paul, Manoranjan, Murshed, Manzur, Taubman, David

  • Authors: Ahmmed, Ashek , Paul, Manoranjan , Murshed, Manzur , Taubman, David
  • Date: 2021
  • Type: Text , Conference paper , Conference Paper
  • Relation: 2021 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2021 Vol. 2021-June, p. 1935-1939
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  • Description: Immersive media representation format based on point clouds has underpinned significant opportunities for extended reality applications. Point cloud in its uncompressed format require very high data rate for storage and transmission. The video based point cloud compression technique projects a dynamic point cloud into geometry and texture video sequences. The projected texture video is then coded using modern video coding standard like HEVC. Since the properties of projected texture video frames are different from traditional video frames, HEVC-based commonality modeling can be inefficient. An improved commonality modeling technique is proposed that employs discrete cosine basis oriented motion models and the domains of such models are approximated by homogeneous regions called cuboids. Experimental results show that the proposed commonality modeling technique can yield savings in bit rate of up to 4.17%. ©2021 IEEE

E-Learning challenges for electronics and mechatronics education during lockdowns

- Jayawardena, Amal, Kahandawa, Gayan, Petty, Mark

  • Authors: Jayawardena, Amal , Kahandawa, Gayan , Petty, Mark
  • Date: 2021
  • Type: Text , Conference paper , Conference Paper
  • Relation: 47th Annual Conference of the IEEE Industrial Electronics Society, IECON 2021 Vol. 2021-October
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  • Description: This paper explains methods used to deliver online electronics and mechatronics courses and clarifies the results obtained by an online survey to understand students' e-learning experience. The purpose of this paper is to outline the challenges of online learning and to explain effective content delivery methods used to overcome those challenges. This study gives detailed descriptions for each content delivery technique, for each online lab delivery method, and for all the online assessment types used while analyzing the effectiveness of those procedures. A case study on the delivery of an online mechatronics project has also been presented. In addition, the paper presents the analyzed results obtained from the survey to improve the future delivery of online electronics and mechatronics courses in a pandemic. © 2021 IEEE.

E-Learning in Industrial Electronics during Covid-19

- Dunai, Larisa, Martins, Joao, Umetani, Kazuhiro, Lucia, Oscar, Ibrahim, Yousef, Appuhamillage, G. K.

  • Authors: Dunai, Larisa , Martins, Joao , Umetani, Kazuhiro , Lucia, Oscar , Ibrahim, Yousef , Appuhamillage, G. K.
  • Date: 2021
  • Type: Text , Conference paper
  • Relation: 22nd IEEE International Conference on Industrial Technology, ICIT 2021 Vol. 2021-March, p. 1227-1233
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  • Description: The educational methodologies employed in Industrial Electronics have been affected by Covid-19. In many cases, conventional learning methods relying on face-to-face lectures have been replaced by online methodologies. The whole process has required a fast adaptation and development of the e-learning tools to ensure a quality of theoretical, practical and laboratory lectures, as well as the development of new methods for the reliable assessment of the learning process. From this perspective, the present paper deals with the different strategies that have been implemented in institutions of several countries located in different geographical areas, including Portugal, Spain, Japan and Australia. It is shown that the use of methodologies, such as flip teaching, has provided a wide variety of possibilities to adapt to the new educational context. Moreover, for Industrial Electronics degrees, the use of virtual or remote laboratories, portable learning tools and advanced information and communication technologies have also risen as valuable resources. The paper also reports the problems arising during the development of the e-learning tools, their implementation constraints, and the evaluation of their results. © 2021 IEEE.

Early intervention to reduce young peoples’ contact with the criminal justice system : local knowledge to inform practice

- Lancefield, Kay

  • Authors: Lancefield, Kay
  • Date: 2021
  • Type: Text , Thesis , PhD
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  • Description: The involvement of youth in justice systems generates high social and economic costs for individuals, their families and communities. Although Victorian crime statistics indicate a decline in youth offending there remains a subgroup who persist, resulting in adverse outcomes. Despite considerable scholarly attention on the factors that contribute to youth contact with justice systems, the application of this knowledge in some instances has failed to reduce such contact and deliver the desired outcomes. This thesis asserts that the factors relat ing to youth contact with justice systems are best understood within the theoretical frameworks of social ecological theory and developmental criminology. A social ecological perspective broadens the understanding of factors associated with youth contact with justice systems and potential intervention opportunities. It is argued that the integration of developmental criminology and social ecological theory within a place based framework will guide understanding and enh ance the efficacy of early intervention strategies. This thesis highlight s the need to consider multiple interacting factors, the value of incorporating developmental data to augment police records and the importance of implementing practice wisdom in the formulation and delivery of developmental prevention strategies. An individual’s exposure to adverse childhood experiences is demonstrated as a critical element associated with the risk of future offending. Findings relating to early contact with police as potentially protective and not necessarily predictive of an ongoing offending trajectory provide new insight. It is argued that a place based approach that incorporat es practice partnerships is critical to delivering effective prevention efforts. This research project was supported through a universityearch project was supported through a university––service system research service system research collaboration within the Inner Gippsland region of Victoria. The study has generated ‘local collaboration within the Inner Gippsland region of Victoria. The study has generated ‘local solutions to local problems’ and bridged the practicesolutions to local problems’ and bridged the practice––research gap research gap by generating by generating conceptualconceptually sound, evidencely sound, evidence--based interventions based interventions that are that are responsive to the Inner responsive to the Inner Gippsland community.Gippsland community.
  • Description: Doctor of Philosophy

Ecological processes associated with different animal taxa in urban environments

- Evans, Maldwyn, Barton, Philip, Westgate, Martin, Soga, Masashi, Fujita, Go, Miyashita, Tadashi

  • Authors: Evans, Maldwyn , Barton, Philip , Westgate, Martin , Soga, Masashi , Fujita, Go , Miyashita, Tadashi
  • Date: 2021
  • Type: Text , Journal article
  • Relation: Ecosphere Vol. 12, no. 8 (2021), p.
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  • Description: Urbanization is increasing globally with wide-ranging consequences for biodiversity and the ecological processes it performs. Yet knowledge of the range of ecological processes supported by biodiversity in urban environments, and the different taxa that perform these processes is poorly understood. We used a text-analysis approach to identify the research trends and gaps in knowledge in the literature on ecological processes provided by animals in urban environments. We found a divide in urban ecological processes research that grouped studies into those with an explicit link to ecological processes and those that focused on biodiversity and made an implicit link to ecological processes. We also found that the dominant taxa in urban ecological processes research were insects, which has more than twice as many studies as birds or mammals, potentially due to their recognized and explicit link to key processes and services (e.g., pollination, pollution biomonitoring) and disservices (e.g., pests, disease transmission). We found a further split between terrestrial and aquatic studies, with urban aquatic studies also declining in relative prevalence over the last 20 yr. To consolidate and advance research on ecological processes in urban environments, we suggest it will be important to bridge the divide between studies on explicit services and others on more general biodiversity. This might be achieved by placing greater focus on the processes provided by non-insect taxa, and by integrating aquatic and terrestrial perspectives. © 2021 The Authors.

Educational big data : predictions, applications and challenges

- Bai, Xiaomei, Zhang, Fuli, Li, Jinzhou, Guo, Teng, Xia, Feng

  • Authors: Bai, Xiaomei , Zhang, Fuli , Li, Jinzhou , Guo, Teng , Xia, Feng
  • Date: 2021
  • Type: Text , Journal article , Review
  • Relation: Big Data Research Vol. 26, no. (2021), p.
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  • Description: Educational big data is becoming a strategic educational asset, exceptionally significant in advancing educational reform. The term educational big data stems from the rapidly growing educational data development, including students' inherent attributes, learning behavior, and psychological state. Educational big data has many applications that can be used for educational administration, teaching innovation, and research management. The representative examples of such applications are student academic performance prediction, employment recommendation, and financial support for low-income students. Different empirical studies have shown that it is possible to predict student performance in the courses during the next term. Predictive research for the higher education stage has become an attractive area of study since it allowed us to predict student behavior. In this survey, we will review predictive research, its applications, and its challenges. We first introduce the significance and background of educational big data. Second, we review the students' academic performance prediction research, such as factors influencing students' academic performance, predicting models, evaluating indices. Third, we introduce the applications of educational big data such as prediction, recommendation, and evaluation. Finally, we investigate challenging research issues in this area. This discussion aims to provide a comprehensive overview of educational big data. © 2021 Elsevier Inc. **Please note that there are multiple authors for this article therefore only the name of the first 5 including Federation University Australia affiliate “Feng Xia” is provided in this record**

Effect of contamination and purity priming on attitudes to vaccination and other health interventions : a randomised controlled experiment

- Bryden, Gabrielle, Rockloff, Matthew, Browne, Matthew, Unsworth, Carolyn

  • Authors: Bryden, Gabrielle , Rockloff, Matthew , Browne, Matthew , Unsworth, Carolyn
  • Date: 2021
  • Type: Text , Journal article
  • Relation: Vaccine Vol. 39, no. 45 (2021), p. 6653-6659
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  • Description: The objective of this experiment is to assess whether priming for contamination and purity causes a change in attitudes to health interventions, including vaccination, and complementary and alternative medicines (CAMs). An online priming experiment was conducted with four between-subject experimental conditions including photos of: 1) biological contamination, 2) chemical contamination, 3) pure environments, such as pristine landscapes, and 4) hazard signs/icons indicating physical threats. Two control conditions included photos of neutral scenes and neutral icons, whereby experimental groups were compared against the related control groups (photograph for conditions 1–3 and neutral icons for condition 4). Subjects were randomly assigned to one of the six conditions, and after exposure to the images they were asked to rate 10 conventional and alternative health interventions for effectiveness and safety, as well being assessed for disgust sensitivity using the reduced-item DPSS-R [10]. A total of 642 adults completed the experiment. Exposure to primes did not cause a differential change in ratings of health interventions. Nevertheless, higher levels of sensitivity to disgust were associated with lower ratings of the effectiveness of MMR vaccination, tetanus injection, antibiotics, and surgery; and higher levels of sensitivity to disgust were associated with higher ratings of effectiveness of vitamins/minerals. In conclusion, this online experiment did not find an experimental effect of priming for contamination and purity on subjects’ ratings of the safety and effectiveness of conventional and alternative health interventions. This indicates that attitudes to these health interventions are not influenced by a temporary increase in the salience of feelings of contamination or purity. However, individual differences in disgust sensitivity are related to their attitudes to vaccination and CAM interventions. © 2021 Elsevier Ltd

Effect of pore diffusion on the gasification characteristics of coal char under CO2 atmosphere

- Shahabuddin, M., Kibria, M., Bhattacharya, Sankar

  • Authors: Shahabuddin, M. , Kibria, M. , Bhattacharya, Sankar
  • Date: 2021
  • Type: Text , Journal article
  • Relation: International Journal of Energy for a Clean Environment Vol. 22, no. 5 (2021), p. 85-102
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  • Description: The effect of pore diffusion on kinetic parameters is of particular interest to the current study using coal char under CO2 gasification conditions. A high-temperature entrained-flow gasifier was used for the preparation of char through the rapid pyrolysis process. The kinetic study with the char was then carried at temperatures of 973-1473 K under atmospheric pressure. A prediction of carbon conversion for large particle size (100 μm) is reported from the carbon conversion of small particle size (25 μm) considering the diffusion effect. The effect of diffusion caused by temperatures and particle size was reported through activation energy. The apparent activation energy in the chemically controlled region (973-1173 K) was calculated to be 178 kJ/mol, whereas it was 69 kJ/mol in the pore diffusion zone (1373-1473 K) using smaller particle size. The apparent activation energy using large particle size was found to be 186 and 99 kJ/mol in chemically controlled and pore diffusion zone, respectively. The intrinsic activation energy for both particle sizes was almost similar. A variation between apparent and intrinsic reaction rates was depicted mostly at higher temperatures of over 1273 K. The change in the surface area of char particle was crucial in terms of decreasing reaction rates, which was decreased with the progression of the conversion. The predicted carbon conversion for large particle size was in good agreement with the experimentally measured conversion except for little discrepancies at higher temperatures. © 2021 by Begell House, Inc.

Effect of reactant types (steam, CO2 and steam + CO2) on the gasification performance of coal using entrained flow gasifier

- Shahabuddin, M., Bhattacharya, Sankar

  • Authors: Shahabuddin, M. , Bhattacharya, Sankar
  • Date: 2021
  • Type: Text , Journal article
  • Relation: International Journal of Energy Research Vol. 45, no. 6 (2021), p. 9492-9501
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  • Description: This study investigates the gasification behaviour of bituminous coal using different reactants of CO2, steam and a mixture of CO2 and steam under entrained flow gasification conditions at temperatures of 1000°C and 1200°C with atmospheric pressure. The major gas constituents of the syngas were measured using online micro-GC with a model number Varian 490, whereas the minor pollutant gases were analysed using Kitagawa gas detection tubes. A maximum carbon conversion of 86% was achieved under steam gasification at a temperature of 1200°C compared to 74% from CO2 gasification. The higher carbon conversion from steam gasification is due to the higher gasification reactivity than CO2 gasification. At 1000°C, the lower heating value (LHV) from steam gasification was determined to be 60%, 70% and 80% higher than that of CO2 gasification using the reactant concentrations of 10, 20 and 40 vol.%, respectively. Using a stoichiometric 50/50 ratio of CO2 and steam, the yield of H2, CO and CH4 were increased by 56%, 106% and 35% compared to that of pure CO2 gasification. At 1000°C, the LHV under mixed reactant condition is close to the LHV from the pure steam gasification at 1200°C. In steam gasification, increasing the temperature by 200°C from 1000°C decreases the LHV by 17 and 10% using 10 and 20 vol.% steam. The higher heating value from steam gasification is due to the H2 and CH4-rich syngas compared to CO-rich syngas in CO2 gasification. The BET surface area of the solid char from steam gasification is about 17 and two times higher than that of CO2 gasification at 1000°C and 1200°C, respectively. © 2021 John Wiley & Sons Ltd

Effect of recovery-based interventions on recovery knowledge and attitudes of mental health professionals, regarding recovery-oriented practice : a quantitative narrative review

- Sreeram, Anju, Cross, Wendy, Townsin, Louise

  • Authors: Sreeram, Anju , Cross, Wendy , Townsin, Louise
  • Date: 2021
  • Type: Text , Journal article
  • Relation: International journal of mental health nursing Vol. 30, no. 5 (2021), p. 1057-1069
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  • Description: Mental health recovery is an enabling process encouraging consumers to live a productive life, notwithstanding the presence of debilitating symptoms of illness. The recovery model has been integrated into all areas of mental health. However, literature shows that mental health professionals are not equipped to provide recovery-oriented care to consumers. Researchers have recommended recovery-based interventions to develop knowledge, attitudes and skills to promote recovery-oriented practice in mental health, yet there is a paucity of research regarding the effect of recovery-oriented interventions on the knowledge and attitudes of mental health professionals to improve recovery-oriented practice. Therefore, the purpose of the current review is to understand the effectiveness of interventions on recovery knowledge and attitudes of mental health professionals regarding recovery-oriented practice. The papers were identified through the Population Intervention Comparison and Outcome strategy. The heterogeneity of the selected papers led to a narrative review instead of a systematic review with meta-analysis. The analysis suggested that recovery-based interventions are effective in enhancing the recovery knowledge and attitudes of mental health professionals. Recovery-based interventions have the potential to reduce the use of physical restraints and improve work satisfaction among mental health professionals. The limitations of the studies were the heterogeneity of the selected populations and the absence of strong methodologies to assess the effect of the interventions. Therefore, future investigations should be focused on the effect of interventions on a homogeneous group using randomised controlled trials. Keywords: mental health professionals, mental health nurses, practice, recovery knowledge and attitude, recovery-based interventions.