List of Titles

A combined virtual element method and the scaled boundary finite element method for linear elastic fracture mechanics

- Adak, Dibyendu, Pramod, ALN, Ooi, Ean Tat, Natarajan, Sundararajan

Authors: Adak, Dibyendu , Pramod, ALN , Ooi, Ean Tat , Natarajan, Sundararajan
Date: 2020
Type: Text , Journal article
Relation: Engineering Analysis with Boundary Elements Vol. 113, no. (2020), p. 9-16
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Description: In this paper, we propose a framework that combines the recently introduced virtual element method (VEM) and the scaled boundary finite element method (SBFEM) to evaluate the fracture parameters. The domain is discretized with arbitrary polygons and the element that contains the crack tip is treated within the framework of the SBFEM. This facilitates a semi-analytical treatment of the crack tip singularity allowing the fracture parameters are estimated directly from the definition. The VEM is employed for the rest of the domain. The salient feature of the VEM is that the terms in the stiffness matrix are computed without requiring higher order quadrature schemes. As both the methods satisfy partition of unity and the compatibility condition, the matrices are assembled as in the conventional FEM. The accuracy of the proposed formulation is demonstrated with two standard benchmark examples. The proposed VEM-SBFEM framework yields accurate results. © 2019 Elsevier Ltd

A cross-sectional survey of nursing students' patient safety knowledge

- Levett-Jones, Tracy, Andersen, Patrea, Bogossian, Fiona, Cooper, Simon, Guinea, Stephen, Hopmans, Ruben, McKenna, Lisa, Pich, Jacqui, Reid-Searl, Kerry, Seaton, Philippa

Authors: Levett-Jones, Tracy , Andersen, Patrea , Bogossian, Fiona , Cooper, Simon , Guinea, Stephen , Hopmans, Ruben , McKenna, Lisa , Pich, Jacqui , Reid-Searl, Kerry , Seaton, Philippa
Date: 2020
Type: Text , Journal article
Relation: Nurse Education Today Vol. 88, no. (2020), p.
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Description: Background: Knowledge provides a foundation for safe and effective nursing practice. However, most previous studies have focused on exploring nursing students' self-reported perceptions of, or confidence in, their level of patient safety knowledge, rather than examining their actual levels of knowledge. Objective: The overarching objective of this study was to examine final year nursing students' levels of knowledge about key patient safety concepts. Design: A cross-sectional design was used for this study. Data collection was undertaken during 2018 using a web-based patient safety quiz with 45 multiple choice questions informed by the Patient Safety Competency Framework for Nursing Students. A Modified Angoff approach was used to establish a pass mark or ‘cut score’ for the quiz. Setting and participants: Nursing students enrolled in the final year of a pre-registration nursing program in Australia or New Zealand were invited to participate in the study. Results: In total, 2011 final year nursing students from 23 educational institutions completed the quiz. Mean quiz scores were 29.35/45 or 65.23% (SD 5.63). Participants achieved highest scores in the domains of person-centred care and therapeutic communication, and lowest scores for infection prevention and control and medication safety. Based on the pass mark of 67.3% determined by the Modified Angoff procedure, 44.7% of students (n = 899) demonstrated passing performance on the quiz. For eight of the institutions, less than half of their students achieved a passing mark. Conclusions: Given the pivotal role that nurses play in maintaining patient safety, the results from this quiz raise important questions about the preparation of nursing students for safe and effective clinical practice. The institutional results also suggest the need for increased curricula attention to patient safety. © 2020 Elsevier Ltd

A dual scaled boundary finite element formulation over arbitrary faceted star convex polyhedra

- Ooi, Ean Tat, Saputra, Albert, Natarajan, Sundararajan, Ooi, Ean Hin, Song, Chongmin

Authors: Ooi, Ean Tat , Saputra, Albert , Natarajan, Sundararajan , Ooi, Ean Hin , Song, Chongmin
Date: 2020
Type: Text , Journal article
Relation: Computational Mechanics Vol. 66, no. 1 (2020), p. 27-47
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Description: A novel technique to formulate arbritrary faceted polyhedral elements in three-dimensions is presented. The formulation is applicable for arbitrary faceted polyhedra, provided that a scaling requirement is satisfied and the polyhedron facets are planar. A triangulation process can be applied to non-planar facets to generate an admissible geometry. The formulation adopts two separate scaled boundary coordinate systems with respect to: (i) a scaling centre located within a polyhedron and; (ii) a scaling centre on a polyhedron’s facets. The polyhedron geometry is scaled with respect to both the scaling centres. Polygonal shape functions are derived using the scaled boundary finite element method on the polyhedron facets. The stiffness matrix of a polyhedron is obtained semi-analytically. Numerical integration is required only for the line elements that discretise the polyhedron boundaries. The new formulation passes the patch test. Application of the new formulation in computational solid mechanics is demonstrated using a few numerical benchmarks. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.

A dual scaled boundary finite element formulation over arbitrary faceted star convex polyhedra

- Ooi, Ean Tat, Saputra, Albert, Natarajan, Sundararajan, Ooi, Ean Hin, Song, Chongmin

Authors: Ooi, Ean Tat , Saputra, Albert , Natarajan, Sundararajan , Ooi, Ean Hin , Song, Chongmin
Date: 2020
Type: Text , Journal article , Article
Relation: Computational Mechanics Vol. 66, no. 1 (2020), p. 27-47
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Description: A novel technique to formulate arbritrary faceted polyhedral elements in three-dimensions is presented. The formulation is applicable for arbitrary faceted polyhedra, provided that a scaling requirement is satisfied and the polyhedron facets are planar. A triangulation process can be applied to non-planar facets to generate an admissible geometry. The formulation adopts two separate scaled boundary coordinate systems with respect to: (i) a scaling centre located within a polyhedron and; (ii) a scaling centre on a polyhedron’s facets. The polyhedron geometry is scaled with respect to both the scaling centres. Polygonal shape functions are derived using the scaled boundary finite element method on the polyhedron facets. The stiffness matrix of a polyhedron is obtained semi-analytically. Numerical integration is required only for the line elements that discretise the polyhedron boundaries. The new formulation passes the patch test. Application of the new formulation in computational solid mechanics is demonstrated using a few numerical benchmarks. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.

A guide to the short, long and circular RNAs in hypertension and cardiovascular disease

- Prestes, Priscilla, Maier, Michelle, Woods, Bradley, Charchar, Fadi

Authors: Prestes, Priscilla , Maier, Michelle , Woods, Bradley , Charchar, Fadi
Date: 2020
Type: Text , Journal article , Review
Relation: International Journal of Molecular Sciences Vol. 21, no. 10 (2020), p.
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Description: Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in adults in developed countries. CVD encompasses many diseased states, including hypertension, coronary artery disease and atherosclerosis. Studies in animal models and human studies have elucidated the contribution of many genetic factors, including non-coding RNAs. Non-coding RNAs are RNAs not translated into protein, involved in gene expression regulation post-transcriptionally and implicated in CVD. Of these, circular RNAs (circRNAs) and microRNAs are relevant. CircRNAs are created by the back-splicing of pre-messenger RNA and have been underexplored as contributors to CVD. These circRNAs may also act as biomarkers of human disease, as they can be extracted from whole blood, plasma, saliva and seminal fluid. CircRNAs have recently been implicated in various disease processes, including hypertension and other cardiovascular disease. This review article will explore the promising and emerging roles of circRNAs as potential biomarkers and therapeutic targets in CVD, in particular hypertension. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.

A low-complexity equalizer for video broadcasting in cyber-physical social systems through handheld mobile devices

- Solyman, Ahmad, Attar, Hani, Khosravi, Mohammad, Menon, Varun, Jolfaei, Alireza, Balasubramanian, Venki, Selvaraj, Buvana, Tavallali, Pooya

Authors: Solyman, Ahmad , Attar, Hani , Khosravi, Mohammad , Menon, Varun , Jolfaei, Alireza , Balasubramanian, Venki , Selvaraj, Buvana , Tavallali, Pooya
Date: 2020
Type: Text , Journal article
Relation: IEEE Access Vol. 8, no. (2020), p. 67591-67602
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Description: In Digital Video Broadcasting-Handheld (DVB-H) devices for cyber-physical social systems, the Discrete Fractional Fourier Transform-Orthogonal Chirp Division Multiplexing (DFrFT-OCDM) has been suggested to enhance the performance over Orthogonal Frequency Division Multiplexing (OFDM) systems under time and frequency-selective fading channels. In this case, the need for equalizers like the Minimum Mean Square Error (MMSE) and Zero-Forcing (ZF) arises, though it is excessively complex due to the need for a matrix inversion, especially for DVB-H extensive symbol lengths. In this work, a low complexity equalizer, Least-Squares Minimal Residual (LSMR) algorithm, is used to solve the matrix inversion iteratively. The paper proposes the LSMR algorithm for linear and nonlinear equalizers with the simulation results, which indicate that the proposed equalizer has significant performance and reduced complexity over the classical MMSE equalizer and other low complexity equalizers, in time and frequency-selective fading channels. © 2013 IEEE.

A machine learning approach for prediction of pregnancy outcome following IVF treatment

- Hassan, Md Rafiul, Al-Insaif, Sadiq, Hossain, Muhammad, Kamruzzaman, Joarder

Authors: Hassan, Md Rafiul , Al-Insaif, Sadiq , Hossain, Muhammad , Kamruzzaman, Joarder
Date: 2020
Type: Text , Journal article
Relation: Neural Computing and Applications Vol. 32, no. 7 (2020), p. 2283-2297
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Description: Infertility affects one out of seven couples around the world. Therefore, the best possible management of the in vitro fertilization (IVF) treatment and patient advice is crucial for both patients and medical practitioners. The ultimate concern of the patients is the success of an IVF procedure, which depends on a number of influencing attributes. Without any automated tool, it is hard for the practitioners to assess any influencing trend of the attributes and factors that might lead to a successful IVF pregnancy. This paper proposes a hill climbing feature (attribute) selection algorithm coupled with automated classification using machine learning techniques with the aim to analyze and predict IVF pregnancy in greater accuracy. Using 25 attributes, we assessed the prediction ability of IVF pregnancy success for five different machine learning models, namely multilayer perceptron (MLP), support vector machines (SVM), C4.5, classification and regression trees (CART) and random forest (RF). The prediction ability was measured in terms of widely used performance metrics, namely accuracy rate, F-measure and AUC. Feature selection algorithm reduced the number of most influential attributes to nineteen for MLP, sixteen for RF, seventeen for SVM, twelve for C4.5 and eight for CART. Overall, the most influential attributes identified are: ‘age’, ‘indication’ of fertility factor, ‘Antral Follicle Counts (AFC)’, ‘NbreM2’, ‘method of sperm collection’, ‘Chamotte’, ‘Fertilization rate in vitro’, ‘Follicles on day 14’ and ‘Embryo transfer day.’ The machine learning models trained with the selected set of features significantly improved the prediction accuracy of IVF pregnancy success to a level considerably higher than those reported in the current literature. © 2018, The Natural Computing Applications Forum.

A narrative review of pharmacotherapy treatment for opioid addiction and application in a community-based model in Victoria, Australia

- Vishwanath, Tejaswini, Cash, Penelope, Penney, Wendy, Cant, Robyn

Authors: Vishwanath, Tejaswini , Cash, Penelope , Penney, Wendy , Cant, Robyn
Date: 2020
Type: Text , Journal article
Relation: International Journal of Mental Health and Addiction Vol. 18, no. 1 (2020), p. 66-76
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Description: To review the literature regarding the value and consumer focus of research on opioid replacement therapy (ORT) programs, relevant to the Australian rural context and community pharmacy. We conducted a narrative review of literature published between 1995 and 2015, searching EBSCOhost, PubMed and Google Scholar. Three authors collaborated to screen and synthesise studies. Effectiveness, cost affordability, diversion and retention benefits were reported from pharmacological or prescribers’ or dispensers’ standpoint. Research was fragmented and evaluated contributions of these individual types of stakeholders with less discussion of consumers, or consumers’ everyday experiences of ORT. No studies took into account consumers’ psychosocial aspects or power discourses. We found ORT as a beneficial treatment for opioid dependence is well researched, although overall Australian program evaluation was lacking. A gap within ORT literature should be addressed by making consumer experiences central in designs for future research and for program evaluation. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.

A new coupling structure and position detection method for segmented control dynamic wireless power transfer systems

- Li, Xiaofei, Hu, Jiefeng, Wang, Heshou, Dai, Xin, Sun, Yue

Authors: Li, Xiaofei , Hu, Jiefeng , Wang, Heshou , Dai, Xin , Sun, Yue
Date: 2020
Type: Text , Journal article
Relation: IEEE Transactions on Power Electronics Vol. 35, no. 7 (2020), p. 6741-6745
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Description: In this letter, a new coupling structure for dynamic wireless power transfer (DWPT) systems is proposed. Bipolar coils are symmetrically placed on the transmitter unipolar coils, resulting in natural decoupling between the bipolar coils and the unipolar coils. This special structure can mitigate the self-couplings between the adjacent unipolar transmitter coils and hence facilitate the design of the compensation circuit. Another remarkable advantage of this design is that it can lead to a stable mutual coupling between the transmitter array and the receiver when the receiver moves along the transmitter, making it a natural fit for DWPT applications. Furthermore, to reduce the electromagnetic interference and power loss, an automatic segmented control scheme is implemented, and a position detection method by monitoring the primary current is developed. The feasibility of the proposed coupling structure and the position detection method are verified on a laboratory prototype with 72-V output voltage. The experimental results show that the power fluctuation is within ±2.5%, and system efficiency is around 90%. (This letter is accompanied by a video demonstrating the experimental test). © 2020 IEEE.

A perspective on the discovery of selected compounds with anthelmintic activity against the barber's pole worm—Where to from here?

- Jiao, Yaqing, Preston, Sarah, Hofmann, Andreas, Taki, Aya, Baell, Jonathan, Chang, Bill, Jabbar, Abdul, Gasser, Robin

Authors: Jiao, Yaqing , Preston, Sarah , Hofmann, Andreas , Taki, Aya , Baell, Jonathan , Chang, Bill , Jabbar, Abdul , Gasser, Robin
Date: 2020
Type: Text , Book chapter
Relation: Advances in Parasitology p. 1-45
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Description: Parasitic roundworms (nematodes) cause substantial morbidity and mortality in animals worldwide. Anthelmintic treatment is central to controlling these worms, but widespread resistance to most of the commercially available anthelmintics for veterinary and agricultural use is compromising control, such that there is an urgency to discover new and effective drugs. The purpose of this article is to review information on parasitic nematodes, the treatment and control of parasitic nematode infections and aspects of discovering new anthelmintics in the context of anthelmintic resistance problems, and then to discuss some progress that our group has made in identifying selected compounds with activity against nematodes. The focus of our recent work has been on discovering new chemical entities and known drugs with anthelmintic activities against Haemonchus contortus as well as other socioeconomically important parasitic nematodes for subsequent development. Using whole worm-based phenotypic assays, we have been screening compound collections obtained via product-development-partnerships and/or collaborators, and active compounds have been assessed for their potential as anthelmintic candidates. Following the screening of 15,333 chemicals from five distinct compound collections against H. contortus, we have discovered one new chemical entity (designated SN00797439), two human kinase inhibitors (SNS-032 and AG-1295), 14 tetrahydroquinoxaline analogues, one insecticide (tolfenpyrad) and two tolfenpyrad (pyrazole-5-carboxamide) derivatives (a-15 and a-17) with anthelmintic activity in vitro. Some of these 20 ‘hit’ compounds have selectivity against H. contortus in vitro when compared to particular human cell lines. In our opinion, some of these compounds could represent starting points for ‘lead’ development. Accordingly, the next research steps to be pursued include: (i) chemical optimisation of representative chemicals via structure-activity relationship (SAR) evaluations; (ii) assessment of the breadth of spectrum of anthelmintic activity on a range of other parasitic nematodes, such as strongyloids, ascaridoids, enoplids and filarioids; (iii) detailed investigations of the absorption, distribution, metabolism, excretion and toxicity (ADMET) of optimised chemicals with broad nematocidal or nematostatic activity; and (iv) establishment of the modes of action of lead candidates. © 2020 Elsevier Ltd

A review of code blue activations in a single regional Australian healthcare service : a retrospective descriptive study of RISKMAN data

- Porter, Joanne, Peck, Blake, McNabb, Tiffinee, Missen, Karen

Authors: Porter, Joanne , Peck, Blake , McNabb, Tiffinee , Missen, Karen
Date: 2020
Type: Text , Journal article
Relation: Journal of Clinical Nursing Vol. 29, no. 1-2 (2020), p. 221-227
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Description: Background: In the case of life-threatening conditions such as respiratory or cardiac arrest, or the clinical deterioration of the patient, a Code Blue activation may be instigated. A Code Blue activation involves a team of advanced trained clinicians attending the emergency needs of the patient. Aims and objectives: The aim of the study was to explore the number of cases of Code Blue activations, looking at the timing, clinical ward, diagnosis and activation criteria while noting cases where escalation from a Medical Emergency Team (MET) call occurs in one Regional Healthcare Service in Victoria, Australia, over a six-year period. Methods: A quantitative retrospective descriptive study of Code Blue emergencies over a six-year period from June 2010 to June 2016 was conducted. Data collected from the RISKMAN program operating at a single site was imported into SPSS (V 22) for descriptive statistical analysis. A STROBE EQUATOR checklist was used for this study (see File S1). Findings: The majority of Code Blue activations were male (59%, n = 127) and aged between 70 and 89 years of age (43%, n = 93). A Code Blue activation was more likely to occur at 08:00 hr, 14:00 hr or 22:00 hr, corresponding to the nurses’ change in shift, with the majority of Code Blues (27.8%, n = 60) occurring in the emergency department. Cardiac arrest was the main activation criterion with 54.6% (n = 118) cases followed by respiratory arrest (14%, n = 32). Interestingly, 20% (n = 45) of the Code Blue activations were upgraded from a Medical Emergency Team (MET) call. Conclusion: This project has produced several interesting findings surrounding Code Blue activations at one regional healthcare service which are not present in existing literature and is worthwhile for further investigation. Relevance to clinical practice: Understanding Code Blue activation criteria, common timings (month, time of day) and patient demographics ensures clinicians can remain vigilant in watching for the signs of patient deterioration and improve staff preparedness Code Blue events. © 2019 John Wiley & Sons Ltd

A review of south pacific tropical cyclones : impacts of natural climate variability and climate change

- Chand, Savin, Dowdy, Andrew, Bell, Samuel, Tory, Kevin

Authors: Chand, Savin , Dowdy, Andrew , Bell, Samuel , Tory, Kevin
Date: 2020
Type: Text , Book chapter
Relation: Springer Climate p. 251-273
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Description: Impacts of tropical cyclones in the South Pacific Island countries are of great significance. Now with the growing threats from human-induced climate change, the need for effective disaster risk management and adaptation strategies for these island countries is more important than before. In order to implement appropriate strategies, a comprehensive understanding of South Pacific tropical cyclone activity—and how it is likely to change as a result of human-induced climate change—is essential. While a number of past studies have examined various aspects of tropical cyclone activity in the South Pacific basin, a review that consolidates those studies with new information is essential. In this chapter, we first examine tropical cyclone data quality for the South Pacific basin and then review the robustness of the relationship between South Pacific tropical cyclones and drivers of natural climate variability. Note that an understanding of the limitations of the data quality is important to determine the extent of natural climate variability and signatures—if any—of human-induced climate change on tropical cyclones. We then examine the influence of climate change on tropical cyclones using up-to-date historical observations and climate model projections. © Springer Nature Switzerland AG 2020.

A shared bus profiling scheme for smart cities based on heterogeneous mobile crowdsourced data

- Kong, Xiangjie, Xia, Feng, Li, Jianxin, Hou, Mingliang, Li, Menglin, Xiang, Yong

Authors: Kong, Xiangjie , Xia, Feng , Li, Jianxin , Hou, Mingliang , Li, Menglin , Xiang, Yong
Date: 2020
Type: Text , Journal article
Relation: IEEE Transactions on Industrial Informatics Vol. 16, no. 2 (2020), p. 1436-1444
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Description: Mobile crowdsourcing (MCS), as an effective and crucial technique of Industrial Internet of Things, is enabling smart city initiatives in the real world. It aims at incorporating the intelligence of dynamic crowds to collect and compute decentralized ubiquitous sensing data that can be used to solve major urbanization problems such as traffic congestion. The shared bus, as a neotype transportation mode, aims at improving the resource utilization rate and maintaining the advantages of convenience and economy. In this article, we provide a scheme to profile shared buses through heterogeneous mobile crowdsourced data (TRProfiling). First, we design an MCS-based shared bus data generation and collection solution to overcome the aforementioned data scarcity issue. Then, we propose a travel profiling to profile resident travel and design a method called multiconstraint evolution algorithm to optimize the routes. Experimental results demonstrate that TRProfiling has an excellent performance in satisfying passengers' travel requirements. © 2005-2012 IEEE.

Academic and clinical performance among nursing students : what's grit go to do with it?

- Terry, Daniel, Peck, Blake

Authors: Terry, Daniel , Peck, Blake
Date: 2020
Type: Text , Journal article
Relation: Nurse Education Today Vol. 88, no. (2020), p.
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Description: Background: Nursing is both a science and an art and requires students to develop sound scientific foundations for artful application. The at times binary nature of how the way in which the knowledge and skills of nursing are delivered in higher education can be difficult for students to comprehend initially and synchronise for practice and can lead to feelings of being overwhelmed, withdrawal or failure. Understanding what influences student performance in bachelor level nursing studies is imperative so educators can develop programs that straddle the art and science conundrum and lead to graduate success. Grit is a non-cognitive trait, a drive that keeps an individual on task through difficult circumstances for sustained periods of time. Grit might well represent a key factor in our understanding of why one student succeeds while another withdraws. Objectives: To examine measures of grit in the context of demographic characteristics of nursing students and their impact on student self-perceived academic and clinical performance. Design: A cross-sectional design. Setting: A single School of Nursing at a multi-campus, regional, peri-urban Australian University. Participants: All nursing students (n = 2349) studying a three-year bachelor of nursing degree were invited to participate. Methods: Data were collected using a questionnaire that included several demographic items, questions relating to the student's perceived level of academic and clinical performance, and the eight-item Short Grit Scale (Grit-S) used to measure trait-level perseverance and passion for long-term goals. Results: Students, regardless of their year of study or any other demographic factor, showed grit was the only significant predictor of clinical and academic performance. Conclusions: The strength between grit and perceived performance both academically and clinically, makes grit a valuable factor for development in students as a vehicle for success in nursing programs of study. This paper culminates in suggestions for creative approaches to grit development. © 2020 Elsevier Ltd

Adoption of blockchain technology in the Australian grains trade : an assessment of potential economic effects

- Gunasekera, Don, Valenzuela, Ernesto

Authors: Gunasekera, Don , Valenzuela, Ernesto
Date: 2020
Type: Text , Journal article , Article
Relation: Economic Papers Vol. 39, no. 2 (2020), p. 152-161
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Description: Recent analysis of Blockchain use has highlighted considerable potential productivity gains arising from lower transaction costs between buyers and sellers of goods. This has been shown by recent examples of Blockchain use in the Australian grains sector. In this paper, we have further developed and quantified this concept of productivity gain by undertaking several illustrative scenarios using a general equilibrium model of the global economy. Our analysis indicates that an assumed modest growth (five per cent) in productivity due to Blockchain use in the grains sector could raise output by eight per cent over the medium term. If this is accompanied by Blockchain use in the Australian finance sector, grains output could reach ten per cent. This reflects the effect of reduction in transaction costs due to the use of Blockchain technology as a “distributed ledger technology” in grain trading. Further, it is anticipated that the wider effects of Blockchain-driven productivity enhancement of the Australian finance sector could contribute to approximately 2.5 per cent increase in GDP in the medium term, relative to what would otherwise be. © 2020 The Economic Society of Australia

Almost simplicial polytopes : the lower and upper bound theorems

- Nevo, Eran, Pineda-Villavicencio, Guillermo, Ugon, Julien, Yost, David

Authors: Nevo, Eran , Pineda-Villavicencio, Guillermo , Ugon, Julien , Yost, David
Date: 2020
Type: Text , Journal article
Relation: Canadian Journal of Mathematics Vol. 72, no. 2 (2020), p. 537-556
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Description: We study -vertex -dimensional polytopes with at most one nonsimplex facet with, say, vertices, called almost simplicial polytopes. We provide tight lower and upper bound theorems for these polytopes as functions of, and, thus generalizing the classical Lower Bound Theorem by Barnette and the Upper Bound Theorem by McMullen, which treat the case where s = 0. We characterize the minimizers and provide examples of maximizers for any. Our construction of maximizers is a generalization of cyclic polytopes, based on a suitable variation of the moment curve, and is of independent interest. © 2018 Canadian Mathematical Society.

An approach to map geography mark-up language data to resource description framework schema

- Faqir, Ammara, Mahmood, Aqsa, Qazi, Kiran, Malik, Saleem

Authors: Faqir, Ammara , Mahmood, Aqsa , Qazi, Kiran , Malik, Saleem
Date: 2020
Type: Text , Conference paper , Conference Paper
Relation: 2nd International Conference on Intelligent Technologies and Applications, INTAP 2019 Vol. 1198, p. 343-354
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Description: GML serves as premier modeling language used to represent data of geographic information related to geography locations. However, a problem of GML is its ability to integrate with a variety of geographical and GPS applications. Since, GML saves data in coordinates and in topology for the purpose to integrate data with variety of applications on semantic web, data be mapped to Resource Description Framework (RDF) and Resource Description Framework Schema (RDFS). An approach of mapping GML metadata to RDFS is presented in this paper. This study focuses on the methodology to convert GML data in semantics to represent in extended and enriched form such as RDFS as representation in RDF is not sufficient over semantic web. Firstly, we have GML script from case study and parse it using GML parser and get XML file. XML file parse using Java and get text file to extract GML features and then get a graph form of these features. After that we designed methodology of prototype tool to map GML features to RDFS. Tool performed features by features mapping and extracted results are represented in the tabular form of mapping GML metadata to RDFS. © 2020, Springer Nature Singapore Pte Ltd.
Description: E1

An Australian international teaching practicum in China : exploring multiple perspectives

- Jin, Aijing, Parr, Graham, Cooley, Dean

Authors: Jin, Aijing , Parr, Graham , Cooley, Dean
Date: 2020
Type: Text , Journal article
Relation: Australian Educational Researcher Vol. 47, no. 2 (2020), p. 263-281
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Description: In the context of increasing interest in international teaching practicums, this study investigated the perceptions of Australian pre-service teachers, Chinese mentor teachers and Chinese school students vis-à-vis an international teaching practicum in Anshan, China. Utilising a case study design and thematic analysis methods, the authors critically investigate how the participants from Australia and China perceived the benefits and challenges associated with that practicum. The analysis draws on data from pre-service teachers’ reflective reports, mentor teachers’ interviews and local student questionnaires. The data show that this international teaching practicum was a mutually beneficial and valuable experience for all participants. However, the study revealed challenges and tensions with respect to the meeting of Australian and Chinese educational systems because of their very different social and cultural contexts. Recommendations are made for improving the experience of all participants in international teaching practicums into the future. © 2019, The Australian Association for Research in Education, Inc.

An efficient forward propagation of multiple random fields using a stochastic Galerkin scaled boundary finite element method

- Mathew, Tittu, Pramod, A. L. N., Ooi, Ean Tat, Natarajan, Sundararajan

Authors: Mathew, Tittu , Pramod, A. L. N. , Ooi, Ean Tat , Natarajan, Sundararajan
Date: 2020
Type: Text , Journal article , Article
Relation: Computer Methods in Applied Mechanics and Engineering Vol. 367, no. (2020), p.
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Description: This paper serves to extend the existing literature on the Stochastic Galerkin Scaled Boundary Finite Element Method (SGSBFEM) in two ways. The first part of this work deals with the formulation of multiple non-correlated Gaussian random fields using the conventional Karhunen–Loéve expansion technique and its forward propagation through the Spectral Stochastic Scaled Boundary Finite Element setting using the polynomial surface fit method in terms of the scaled boundary coordinates. The advantages in adopting such a forward propagation technique in capturing the statistical moments of Quantities of Interest (QoI) across the domain, are highlighted using carefully chosen linear elastic problems having large to least correlated random fields as inputs. The second contribution is the extension of the proposed forward Uncertainty Quantification (UQ) to take into account multiple independent random fields, followed by Polynomial Chaos Expansion (PCE) based sensitivity analysis. Both the computational efficiency and the accuracy of the proposed framework under different input random field correlation settings are elaborated upon by comparing their results against that obtained using the current existing SGSBFEM in the literature. Moreover, the stochastic results are validated for all the numerical examples using the Monte Carlo method. © 2020 Elsevier B.V.

Assessing cohesion of the rocks proposing a new intelligent technique namely group method of data handling

- Chen, Wusi, Khandelwal, Manoj, Murlidhar, Bhatawdekar, Bui, Dieu, Tahir, Mahmood, Katebi, Javad

Authors: Chen, Wusi , Khandelwal, Manoj , Murlidhar, Bhatawdekar , Bui, Dieu , Tahir, Mahmood , Katebi, Javad
Date: 2020
Type: Text , Journal article
Relation: Engineering with Computers Vol. 36, no. 2 (2020), p. 783-793
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Description: In this study, evaluation and prediction of rock cohesion is assessed using multiple regression as well as group method of data handling (GMDH). It is a well-known fact that cohesion is the most crucial rock shear strength parameter, which is a key parameter for the stability evaluation of some geotechnical structures such as rock slope. To fulfill the aim of this study, a database of three model input parameters, i.e., p wave velocity, uniaxial compressive strength and Brazilian tensile strength and one model output, which is cohesion of limestone samples was prepared and utilized by GMDH. Different GMDH models with neurons and layers and selection pressure were tested and assessed. It was found that GMDH model number 4 (with 8 layers) shows the best performance among all of tested models between the input and output parameters for the prediction and assessment of rock cohesion with coefficient of determination (R2) values of 0.928 and 0.929, root mean square error values of 0.3545 and 0.3154 for training and testing datasets, respectively. Multiple regression analysis was also performed on the same database and R2 values were obtained as 0.8173 and 0.8313 between input and output parameters for the training and testing of the models, respectively. The GMDH technique developed in this study is introduced as a new model in field of rock shear strength parameters. © 2019, Springer-Verlag London Ltd., part of Springer Nature.

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