Showing items 161 - 180 of 13205

Developing a case-based experiential learning model at a program level in a regional university : reflections on the developmental process

- Patil, Tejaswini, Hunt, Michelle, Cooper, Kimberlea, Townsend, Rob

  • Authors: Patil, Tejaswini , Hunt, Michelle , Cooper, Kimberlea , Townsend, Rob
  • Date: 2020
  • Type: Text , Journal article
  • Relation: Australian Journal of Adult Learning Vol. 60, no. 2 (2020), p. 225-244
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  • Description: This article reflects on the developmental process of a case-based experiential learning model: the Federation University model, in an undergraduate community and human services program at a regional university. There is abundant literature that addresses the use and need for introducing experiential learning at the subject/unit level in community and human services/social work content. However, despite the expansion of research on experiential learning, there is limited literature that bridges the gap between course/program level teaching philosophy and using experiential learning activities in individual subjects. The article will demonstrate how Kolb’s four stage cycle (Kolb, 1984) and case-based experiential learning were integrated to develop curriculum at a program level. It will also demonstrate how a move to experiential learning facilitated better alignment with face-to-face and online learning. As a way of argument, we suggest that case-based experiential learning is very relevant and useful to human services/ social work education because of its emphasis on bridging the theory and praxis nexus and providing graduates with an opportunity to work effectively in a complex, fluid and ever-changing sector. © 2020, Adult Learning Australia. All rights reserved.

Development of cluster-based energy management scheme for residential usages in the smart grid community

- Ur Rashid, Md Mamun, Granelli, Fabrizio, Hossain, Md Alamgir, Alam, Md Shafiul, Al-Ismail, Fahad, Shah, Rakibuzzaman

  • Authors: Ur Rashid, Md Mamun , Granelli, Fabrizio , Hossain, Md Alamgir , Alam, Md Shafiul , Al-Ismail, Fahad , Shah, Rakibuzzaman
  • Date: 2020
  • Type: Text , Journal article
  • Relation: Electronics (Switzerland) Vol. 9, no. 9 (2020), p. 1-25
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  • Description: Several efforts have been taken to promote clean energy towards a sustainable and green economy. Existing sources of electricity present some complications concerning consumers, utility owners, and the environment. Utility operators encourage household applicants to employ residential energy management (REM) systems. Renewable energy sources (RESs), energy storage systems (ESS), and optimal energy allocation strategies are used to resolve these difficulties. In this paper, the development of a cluster-based energy management scheme for residential consumers of a smart grid community is proposed to reduce energy use and monetary cost. Normally, residential consumers deal with household appliances with various operating time slots depending on consumer preferences. A simulator is designed and developed using C++ software to resolve the residential consumer’s REM problem. The benefits of the RESs, ESS, and optimal energy allocation techniques are analyzed by taking in account three different scenarios. Extensive case studies are carried out to validate the effectiveness of the proposed cluster-based energy management scheme. It is demonstrated that the proposed method can save energy and costs up to 45% and 56% compared to the existing methods. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.

Development of pedotransfer functions by machine learning for prediction of soil electrical conductivity and organic carbon content

- Benke, Kurt, Norng, Sorn, Robinson, Nathan, Chia, K., Rees, David, Hopley, J.

  • Authors: Benke, Kurt , Norng, Sorn , Robinson, Nathan , Chia, K. , Rees, David , Hopley, J.
  • Date: 2020
  • Type: Text , Journal article
  • Relation: Geoderma Vol. 366, no. (2020), p.
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  • Description: The pedotransfer function is a mathematical model used to convert direct soil measurements into known and unknown soil properties. It provides information for modelling and simulation in soil research, hydrology, environmental science and climate change impacts, including investigating the carbon cycle and the exchange of carbon between soils and the atmosphere to support carbon farming. In particular, the pedotransfer function can provide input parameters for landscape design, soil quality assessment and economic optimisation. The objective of the study was to investigate the feasibility of using a generalised pedotransfer function derived with a machine learning method to predict soil electrical conductivity (EC) and soil organic carbon content (OC) for different regional locations in the state of Victoria, Australia. This strategy supports a unified approach to the interpolation and population of a single regional soils database, in contrast to a range of pedotransfer functions derived from local databases with measurement sets that may have limited transferability. The pedotransfer function generation was based on a machine learning algorithm incorporating the Generalized Linear Mixed Model with interactions and nested terms, with Residual Maximum Likelihood estimation, and a predictor-frequency ranking system with step-wise reduction of predictors to evaluate the predictive errors in reduced models. The source of the data was the Victorian Soil Information System (VSIS), which is a database administered for soil information and mapping purposes. The database contains soil measurements and information from locations across Victoria and is a repository of historical data, including monitoring studies. In total, data from 93 projects were available for inputs to modelling and analysis, with 5158 samples used to derive predictors for EC and 1954 samples used to derive predictors for OC. Over 500 models were tested by systematically reducing the number of predictors from the full model. Five-fold cross-validation was used for estimation of model mean-squared prediction error (MSPE) and mean-absolute percentage error (MAPE). The results were statistically significant with only a gradual reduction in error for the top-ranked 50 models. The prediction errors (MSPE and MAPE) of the top ranked model for EC are 0.686 and 0.635, and 0.413 and 0.474 for OC respectively. The four most frequently occurring predictors both for EC and OC prediction across the full set of models were found to be soil depth, pH, particle size distribution and geomorphological mapping unit. The possible advantages and disadvantages of this approach were discussed with respect to other machine learning approaches. © 2020 Elsevier B.V.

Diarrhoeal disease surveillance in Papua New Guinea : findings and challenges

- Abdad, Mohammad, Soli, Kevin, Pham, Bang, Bande, Grace, Maure, Tobias, Jonduo, Marinjo, Kisa, Debbie, Rai, Glennis, Phuanukoonnon, Suparat, Siba, Peter, Horwood, Paul, Greenhill, Andrew

  • Authors: Abdad, Mohammad , Soli, Kevin , Pham, Bang , Bande, Grace , Maure, Tobias , Jonduo, Marinjo , Kisa, Debbie , Rai, Glennis , Phuanukoonnon, Suparat , Siba, Peter , Horwood, Paul , Greenhill, Andrew
  • Date: 2020
  • Type: Text , Journal article
  • Relation: Western Pacific Surveillance and Response Vol. 11, no. 1 (Jan-Mar 2020), p. 6
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  • Description: Diarrhoeal diseases are among the leading causes of morbidity and mortality in the Western Pacific Region. However, data on the major causes of infectious diarrhoea are limited in many countries within the Region, including Papua New Guinea. In 2013-2014, we conducted surveillance for acute diarrhoeal illness in four provinces in Papua New Guinea. One rural health clinic from each province participated in the surveillance activity. Samples were sent to central laboratories and batch analysed for bacterial and viral gastrointestinal pathogens that are commonly associated with diarrhoea. Across the four sites, the most commonly detected pathogens were Shigella spp., Campylobacter spp. and rotavirus. In this paper, we report the results of the surveillance activity and the challenges that we faced. The lessons learnt may be applicable to other parts of the Region with a similar socioeconomic status.

Differences in personality and the sharing of managerial tacit knowledge: an empirical analysis of public sector managers in Malaysia

- Abdul Manaf, Halimah, Harvey, William, Armstrong, Steven, Lawton, Alan

  • Authors: Abdul Manaf, Halimah , Harvey, William , Armstrong, Steven , Lawton, Alan
  • Date: 2020
  • Type: Text , Journal article
  • Relation: Journal of Knowledge Management Vol. 24, no. 5 (2020), p. 1177-1199
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  • Description: Purpose: This study aims to identify differences in knowledge-sharing mechanisms and personality among expert, typical and novice managers within the Malaysian public sector. Strengthening knowledge sharing function is essential for enabling public institutions around the world to be more productive. Design/methodology/approach: This quantitative study involves 308 employees from management and professional groups within 98 local authorities in the Malaysian local government. Stratified random sampling techniques were used and the sampling frame comprised 1,000 staff using postal surveys. Data analyses were carried out using analysis of variance and correlations to test the research hypotheses. Findings: The findings reveal that expert managers are more proactive in sharing their knowledge, particularly those with the personality traits of conscientiousness and openness. These two personality traits were also related to expert behaviours such as thoroughness, responsibility and persistence, which led to work competency and managerial success. Originality/value: This study provides theoretical insights into how managerial tacit knowledge differs and can accumulate, depending on the personality traits of middle managers. The paper shows the different mechanisms of knowledge sharing, tacit knowledge and personality among expert, typical and novice managers. Practically, this study is important for guiding senior managers in their attempts to identify the most appropriate personalities of their middle managers. This study found that the expert group was higher in conscientiousness, openness and overall personality traits compared with the typical and novice groups. The paper also highlights the value of sharing managerial tacit knowledge effectively. © 2020, Emerald Publishing Limited.

Direct contact ultrasound for fouling control and flux enhancement in air-gap membrane distillation

- Naji, Osamah, Al-juboori, Raed, Bowtell, Les, Alpatova, Alla, Ghaffour, Noreddine

  • Authors: Naji, Osamah , Al-juboori, Raed , Bowtell, Les , Alpatova, Alla , Ghaffour, Noreddine
  • Date: 2020
  • Type: Text , Journal article
  • Relation: Ultrasonics Sonochemistry Vol. 61, no. (2020), p.
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  • Description: Air Gap Membrane distillation (AGMD) is a thermally driven separation process capable of treating challenging water types, but its low productivity is a major drawback. Membrane fouling is a common problem in many membrane treatment systems, which exacerbates AGMD's low overall productivity. In this study, we investigated the direct application of low-power ultrasound (8–23 W), as an in-line cleaning and performance boosting technique for AGMD. Two different highly saline feedwaters, namely natural groundwater (3970 μS/cm) and RO reject stream water (12760 μS/cm) were treated using Polytetrafluoroethylene (PTFE) and polyvinylidene fluoride (PVDF) membranes. Theoretical calculations and experimental investigations are presented, showing that the applied ultrasonic power range only produced acoustic streaming effects that enhanced cleaning and mass transfer. Attenuated Total Reflection Fourier-Transform Infrared Spectroscopy (ATR FT-IR) analysis showed that ultrasound was capable of effectively removing silica and calcium scaling. Ultrasound application on a fouled membrane resulted in a 100% increase in the permeate flux. Cleaning effects accounted for around 30–50% of this increase and the remainder was attributed to mass transfer improvements. Contaminant rejection percentages were consistently high for all treatments (>99%), indicating that ultrasound did not deteriorate the membrane structure. Scanning Electron Microscopy (SEM) analysis of the membrane surface was used to confirm this observation. The images of the membrane surface demonstrated that ultrasound successfully cleaned the previously fouled membrane, with no signs of structural damage. The results of this study highlight the efficient and effective application of direct low power ultrasound for improving AGMD performance. © 2019 Elsevier B.V.

Directional metric pseudo subregularity of set-valued mappings: a general model

- Van Ngai, Huynh, Tron, Nguyen, Van Vu, Nguyen, Théra, Michel

Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals

- Surendran, Praveen, Feofanova, Elena, Lahrouchi, Najim, Ntalla, Ionna, Karthikeyan, Savita, Cook, James, Chen, Lingyan, Mifsud, Borbala, Yao, Chen, Kraja, Aldi, Cartwright, James, Hellwege, Jacklyn, Giri, Ayush, Tragante, Vinicius, Thorleifsson, Gudmar, Liu, Dajiang, Prins, Bram, Stewart, Isobel, Cabrera, Claude, Eales, James, Akbarov, Artur, Auer, Paul, Charchar, Fadi, Howson, Joanna, LifeLines Cohort, Study, Epic, C. V. D., Epic InterAct, Understanding Society Scientific, Group, Million Veteran, Program

Discovery of small group interactions and performance from project emails

- Ivkovic, Sasha, Oseni, Taiwo, Chadhar, Mehmood, Firmin, Sally

  • Authors: Ivkovic, Sasha , Oseni, Taiwo , Chadhar, Mehmood , Firmin, Sally
  • Date: 2020
  • Type: Text , Conference paper
  • Relation: 24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020
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  • Description: Despite latest advances in small group research, discovery of group interactions and performance from analysis of small group communication, such as project emails, is still minimally represented. This paper presents a novel approach of studying small groups through analysis of the participants' emails sent to the project manager. We examined 1,105 email messages from managers' email in-boxes across five distinct ICT projects from the personal, social, collaborative, and engaging perspective of the email senders and link the findings to group performance. The study provides theoretical evidence that analysis of incoming communication from project managers' email in-box can be used to measure a group's success. For project managers the approach has the potential to be highly beneficial for monitoring of indicators for the state of project health. © Proceedings of the 24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020. All rights reserved.

Discovery of small group interactions and performance from project emails

- Ivkovic, Sasha, Oseni, Taiwo, Chadhar, Mehmood, Firmin, Sally

  • Authors: Ivkovic, Sasha , Oseni, Taiwo , Chadhar, Mehmood , Firmin, Sally
  • Date: 2020
  • Type: Text , Conference proceedings , Conference paper
  • Relation: 24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020
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  • Description: Despite latest advances in small group research, discovery of group interactions and performance from analysis of small group communication, such as project emails, is still minimally represented. This paper presents a novel approach of studying small groups through analysis of the participants' emails sent to the project manager. We examined 1,105 email messages from managers' email in-boxes across five distinct ICT projects from the personal, social, collaborative, and engaging perspective of the email senders and link the findings to group performance. The study provides theoretical evidence that analysis of incoming communication from project managers' email in-box can be used to measure a group's success. For project managers the approach has the potential to be highly beneficial for monitoring of indicators for the state of project health. © Proceedings of the 24th Pacific Asia Conference on Information Systems: Information Systems (IS) for the Future, PACIS 2020. All rights reserved.

Discrete gradient methods

- Bagirov, Adil, Taheri, Sona, Karmitsa, Napsu

  • Authors: Bagirov, Adil , Taheri, Sona , Karmitsa, Napsu
  • Date: 2020
  • Type: Text , Book chapter
  • Relation: Numerical Nonsmooth Optimization: State of the Art Algorithms p. 621-654
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  • Description: In this chapter, the notion of a discrete gradient is introduced and it is shown that the discrete gradients can be used to approximate subdifferentials of a broad class of nonsmooth functions. Two methods based on such approximations, more specifically, the discrete gradient method (DGM) and its limited memory version (LDGB), are described. These methods are semi derivative-free methods for solving nonsmooth and, in general, nonconvex optimization problems. The performance of the methods is demonstrated using some academic test problems. © Springer Nature Switzerland AG 2020.

Do government subsidies stimulate firms’ R&D efforts? Empirical evidence from China

- Sun, Xiaohua, Yu, Runqun, Wang, Yun, Colombage, Sisira

  • Authors: Sun, Xiaohua , Yu, Runqun , Wang, Yun , Colombage, Sisira
  • Date: 2020
  • Type: Text , Journal article
  • Relation: Asian Journal of Technology Innovation Vol. 28, no. 2 (2020), p. 163-180
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  • Description: Government subsidies have been one of the popular policy instruments to stimulate firms’ R&D activities. We empirically investigate the impact of government subsidies on firms’ R&D decisions of listed manufacturing firms in China. In contrast to prior studies, we split firms’ R&D decision into two elements of ‘whether to invest decision’ and ‘how much to invest decision’. The influences and mechanism of government subsidies on R&D decision are theoretically analysed to develop hypotheses tested in this study. We find that government subsidies have a promotion effect on both elements of the firms’ R&D decision. Moreover, we also demonstrate the heterogeneous effects of government subsidies between state-owned and non-state firms. Due to the inherent principal-agent problem of state-owned firms and soft budget constraint, subsidies can only increase the probability to undertake R&D activities but cannot stimulate further investment in R&D efforts. However, our results indicate that government subsidies take effects in both elements of R&D decision for non-state firms. © 2020, © KOSIME, ASIALICS, STEPI 2020.
  • Description: National Natural Science Foundation of China [grant number 719010481] Liaoning Provincial Federation Social Science Circles of China [grant number 2019lsljdwtkt-008] Ministry of Education Project of Humanities and Social Sciences in China [grant number 18YJC790171]

Dominance or deceit : the role of the dark triad and hegemonic masculinity in emotional manipulation

- Waddell, Chloe, Van Doorn, George, March, Evita, Grieve, Rachel

  • Authors: Waddell, Chloe , Van Doorn, George , March, Evita , Grieve, Rachel
  • Date: 2020
  • Type: Text , Journal article
  • Relation: Personality and Individual Differences Vol. 166, no. (2020), p.
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  • Description: People may emotionally manipulate others in an attempt to control them and achieve personally satisfying outcomes. Experiencing emotional manipulation is related to several negative outcomes (e.g., depression). As a first step in addressing these negative outcomes, this study explored the utility of hegemonic masculinity and the Dark Triad (i.e., trait narcissism, Machiavellianism, and psychopathy) in predicting emotional manipulation. Three hundred and twenty-seven participants (119 men, 208 women) completed an online survey measuring hegemonic masculinity, narcissism, psychopathy, Machiavellianism, as well as their (a) perceived ability to emotionally manipulate others, and (b) willingness to engage in emotional manipulation. Hierarchical regression analyses revealed that, for both men and women, hegemonic masculinity was a significant predictor of one's willingness and perceived ability to emotionally manipulate others. However, when Dark Triad traits were added to the model, hegemonic masculinity's contribution became non-significant. Hegemonic masculinity seems to share variance with Dark Triad traits, particularly Machiavellianism. These findings are important as they establish that existing operational definitions of hegemonic masculinity share features with certain ‘dark’ personality traits. Thus, when predicting antisocial behaviour and tendencies, perhaps the variance explained by hegemonic masculinity is better captured by dark personality traits. © 2020 Elsevier Ltd

Dual cost function model predictive direct speed control with duty ratio optimization for PMSM drives

- Liu, Ming, Hu, Jiefeng, Chan, Ka, Or, Siu, Ho, Siu, Xu, Wenzheng, Zhang, Xian

  • Authors: Liu, Ming , Hu, Jiefeng , Chan, Ka , Or, Siu , Ho, Siu , Xu, Wenzheng , Zhang, Xian
  • Date: 2020
  • Type: Text , Journal article
  • Relation: IEEE Access Vol. 8, no. (2020), p. 126637-126647
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  • Description: Traditional speed control of permanent magnet synchronous motors (PMSMs) includes a cascaded speed loop with proportional-integral (PI) regulators. The output of this outer speed loop, i.e. electromagnetic torque reference, is in turn fed to either the inner current controller or the direct torque controller. This cascaded control structure leads to relatively slow dynamic response, and more importantly, larger speed ripples. This paper presents a new dual cost function model predictive direct speed control (DCF-MPDSC) with duty ratio optimization for PMSM drives. By employing accurate system status prediction, optimized duty ratios between one zero voltage vector and one active voltage vector are firstly deduced based on the deadbeat criterion. Then, two separate cost functions are formulated sequentially to refine the combinations of voltage vectors, which provide two-degree-of-freedom control capability. Specifically, the first cost function results in better dynamic response, while the second one contributes to speed ripple reduction and steady-state offset elimination. The proposed control strategy has been validated by both Simulink simulation and hardware-in-the-loop (HIL) experiment. Compared to existing control methods, the proposed DCF-MPDSC can reach the speed reference rapidly with very small speed ripple and offset. © 2013 IEEE.
  • Description: This work was supported in part by the Research Grants Council of the Hong Kong Special Administrative Region (HKSAR) Government under Grant R5020-18, and in part by the Innovation and Technology Commission of the HKSAR Government to the Hong Kong Branch of National Rail Transit Electrification and Automation Engineering Technology Research Center under Grant K-BBY1.

Dual sufficient characterizations of transversality properties

- Cuong, Nguyen, Kruger, Alexander

  • Authors: Cuong, Nguyen , Kruger, Alexander
  • Date: 2020
  • Type: Text , Journal article
  • Relation: Positivity Vol. 24, no. 5 (2020), p. 1313-1359
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  • Description: This paper continues the study of ‘good arrangements’ of collections of sets near a point in their intersection. Our aim is to develop a general scheme for quantitative analysis of several transversality properties within the same framework. We consider a general nonlinear setting and establish dual (subdifferential and normal cone) sufficient characterizations of transversality properties of collections of sets in Banach/Asplund spaces. Besides quantitative estimates for the rates/moduli of the corresponding properties, we establish here also estimates for the other parameters involved in the definitions, particularly the size of the neighbourhood where a property holds. Interpretations of the main general nonlinear characterizations for the case of Hölder transversality are provided. Some characterizations are new even in the linear setting. As an application, we provide dual sufficient conditions for nonlinear extensions of the new transversality properties of a set-valued mapping to a set in the range space due to Ioffe. © 2020, Springer Nature Switzerland AG.
  • Description: The research was supported by the Australian Research Council, Project DP160100854, and the European Union’s Horizon 2020 research and innovation programme under the Marie Sk

Dynamic improvement of inductive power transfer systems with maximum energy efficiency tracking using model predictive control : analysis and experimental verification

- Liu, Shunpan, Mai, Ruikun, Zhou, Li, Li, Yong, Hu, Jiefeng, He, Zhengyou, Yan, Zhaotian, Wang, Shiqi

  • Authors: Liu, Shunpan , Mai, Ruikun , Zhou, Li , Li, Yong , Hu, Jiefeng , He, Zhengyou , Yan, Zhaotian , Wang, Shiqi
  • Date: 2020
  • Type: Text , Journal article
  • Relation: IEEE Transactions on Power Electronics Vol. 35, no. 12 (2020), p. 12752-12764
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  • Description: For inductive power transfer (IPT) systems, loads and system input voltages are subject to change, which affects system efficiency and stability. This article presents a perturbation and observation (P&O) method for maximum energy efficiency tracking (MEET) with a model predictive control (MPC) scheme for improving the dynamic performance of series-series compensated IPT systems. In the IPT system, the inverter at the primary side incorporates the P&O method and phase shift modulation (PSM) to minimize system input power. Meanwhile, the rectifier at the secondary side is controlled by MPC control based PSM to improve the dynamic response of the output voltage. Simulated and experimental results show that, compared to the PI controller, the MPC controller, based on a simple but accurate mathematical model, has a better dynamic response to load and input voltage variations. With the MPC controller, the settling time of the output voltage is reduced by 85.7%, which indicates a particularly stable power supply to the load. Furthermore, MEET adopting the P&O method in the IPT system can promote the system efficiency by 1.85% on average when the output voltage is regulated by the MPC controller. © 1986-2012 IEEE.

Dynamic voltage signature of large scale PV enriched streesed power system

- Alzahrani, Saeed, Shah, Rakibuzzaman, Mithulananthan, Nadarajah, Sode-Yome, Arthit

  • Authors: Alzahrani, Saeed , Shah, Rakibuzzaman , Mithulananthan, Nadarajah , Sode-Yome, Arthit
  • Date: 2020
  • Type: Text , Conference proceedings
  • Relation: 2nd International Conference on Smart Power and Internet Energy Systems, SPIES 2020; Bangkok, Thailand; 15th-18th September 2020 p. 275-280
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  • Description: Renewable power generations including flexible demand and energy storage systems leverage significant changes in network operation. Thereby, power systems with high renewable penetration manifest deteriorated resilience to disturbances. Hence, the stable operation of the system could be affected. With a paradigm shift, dynamic voltage stability becomes one of the major concerns for the transmission system operators (TSOs). Predicting the dynamic voltage signature for the transmission system with high penetration of renewables is essential to assist in selecting appropriate corrective control. This paper utilized a comprehensive assessment framework to identify the dynamic voltage signature of the power system with PV and various loads. The voltage recovery index has been chosen as the quantifiable index to extricate the dynamic voltage signature. The applicability of the proposed framework is discussed using simulation studies on the IEEE-39 bus test system. © 2020 IEEE.

Dynamically recommending repositories for health data : a machine learning model

- Ashraf Uddin, Md, Stranieri, Andrew, Gondal, Iqbal, Balasubramanian, Venkicopyright

  • Authors: Ashraf Uddin, Md , Stranieri, Andrew , Gondal, Iqbal , Balasubramanian, Venkicopyright
  • Date: 2020
  • Type: Text , Conference proceedings
  • Relation: 2020 Australasian Computer Science Week Multiconference, ACSW 2020
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  • Description: Recently, a wide range of digital health record repositories has emerged. These include Electronic Health record managed by the government, Electronic Medical Record (EMR) managed by healthcare providers, Personal Health Record (PHR) managed directly by the patient and new Blockchain-based systems mainly managed by technologies. Health record repositories differ from one another on the level of security, privacy, and quality of services (QoS) they provide. Health data stored in these repositories also varies from patient to patient in sensitivity, and significance depending on medical, personal preference, and other factors. Decisions regarding which digital record repository is most appropriate for the storage of each data item at every point in time are complex and nuanced. The challenges are exacerbated with health data continuously streamed from wearable sensors. In this paper, we propose 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 model maps health data to be stored in the repositories. The mapping between health data features and characteristics of each repository is learned using a machine learning-based classifier mediated through clinical rules. Evaluation results demonstrate the model's feasibility. © 2020 ACM.
  • Description: E1

Early-stage reciprocity in sustainable scientific collaboration

- Wang, Wei, Ren, Jing, Alrashoud, Mubarak, Xia, Feng, Mao, Mengyi, Tolba, Amr

  • Authors: Wang, Wei , Ren, Jing , Alrashoud, Mubarak , Xia, Feng , Mao, Mengyi , Tolba, Amr
  • Date: 2020
  • Type: Text , Journal article
  • Relation: Journal of Informetrics Vol. 14, no. 3 (2020), p.
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  • Description: Scientific collaboration is of significant importance in tackling grand challenges and breeding innovations. Despite the increasing interest in investigating and promoting scientific collaborations, we know little about the collaboration sustainability as well as mechanisms behind it. In this paper, we set out to study the relationships between early-stage reciprocity and collaboration sustainability. By proposing and defining h-index reciprocity, we give a comprehensive statistical analysis on how reciprocity influences scientific collaboration sustainability, and find that scholars are not altruism and the key to sustainable collaboration is fairness. The unfair h-index reciprocity has an obvious negative impact on collaboration sustainability. The bigger the reciprocity difference, the less sustainable in collaboration. This work facilitates understanding sustainable collaborations and thus will benefit both individual scholar in optimizing collaboration strategies and the whole academic society in improving teamwork efficiency. © 2020 Elsevier Ltd.
  • Description: The authors extend their appreciation to the International Scientific Partnership Program ISPP at King Saud University for funding this research work through ISPP-78. This work is partially supported by China Postdoctoral Science Foundation ( 2019M651115 ).

Effect of negative excess pore-water pressure on the stability of excavated slopes

- Ghadrdan, Mohsen, Shaghaghi, Tahereh, Tolooiyan, Ali

  • Authors: Ghadrdan, Mohsen , Shaghaghi, Tahereh , Tolooiyan, Ali
  • Date: 2020
  • Type: Text , Journal article
  • Relation: Geotechnique Letters Vol. 10, no. 1 (Mar 2020), p. 20-29
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  • Description: Generation of negative excess pore-water pressure (NEPWP) due to the excavation of saturated soils under undrained conditions and the dissipation that follows over time may result in different short- and long-term slope instability. The NEPWP generated due to excavation gradually decreases towards equilibrium or, in some cases, steady seepage. Hence, total pore-water pressures immediately after excavation are lower than the ultimate equilibrium values, leading to a reduction of the average effective stresses in the slope and subsequently threatening stability in the long term. In this research study, the stability of three benchmark civil and mining excavations has been studied, considering the effects of the generation and dissipation of NEPWP. A series of numerical simulations are conducted to determine the role of in situ stresses and time in NEPWP dissipation as well as the consequent effects on the stability of the excavated slopes. To conduct a realistic time-dependent transient analysis, fully coupled hydro-geomechanical formulation has been employed. Results show that in general, higher removal of stress levels lead to higher NEPWP generation and higher factor of safety values in the short term. Thereafter, the dissipation of NEPWP threatens the long-term stability of the excavation.