The Experts below are selected from a list of 418338 Experts worldwide ranked by ideXlab platform
Val Curtis - One of the best experts on this subject based on the ideXlab platform.
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behaviour centred design towards an Applied Science of behaviour change
Health Psychology Review, 2016Co-Authors: Robert Aunger, Val CurtisAbstract:ABSTRACTBehaviour change has become a hot topic. We describe a new approach, Behaviour Centred Design (BCD), which encompasses a theory of change, a suite of behavioural determinants and a programme design process. The theory of change is generic, assuming that successful interventions must create a cascade of effects via environments, through brains, to behaviour and hence to the desired impact, such as improved health. Changes in behaviour are viewed as the consequence of a reinforcement learning process involving the targeting of evolved motives and changes to behaviour settings, and are produced by three types of behavioural control mechanism (automatic, motivated and executive). The implications are that interventions must create surprise, revalue behaviour and disrupt performance in target behaviour settings. We then describe a sequence of five steps required to design an intervention to change specific behaviours: Assess, Build, Create, Deliver and Evaluate. The BCD approach has been shown to chang...
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behaviour centred design towards an Applied Science of behaviour change
Health Psychology Review, 2016Co-Authors: Robert Aunger, Val CurtisAbstract:Behaviour change has become a hot topic. We describe a new approach, Behaviour Centred Design (BCD), which encompasses a theory of change, a suite of behavioural determinants and a programme design process. The theory of change is generic, assuming that successful interventions must create a cascade of effects via environments, through brains, to behaviour and hence to the desired impact, such as improved health. Changes in behaviour are viewed as the consequence of a reinforcement learning process involving the targeting of evolved motives and changes to behaviour settings, and are produced by three types of behavioural control mechanism (automatic, motivated and executive). The implications are that interventions must create surprise, revalue behaviour and disrupt performance in target behaviour settings. We then describe a sequence of five steps required to design an intervention to change specific behaviours: Assess, Build, Create, Deliver and Evaluate. The BCD approach has been shown to change hygiene, nutrition and exercise-related behaviours and has the advantages of being applicable to product, service or institutional design, as well as being able to incorporate future developments in behaviour Science. We therefore argue that BCD can become the foundation for an Applied Science of behaviour change.
Michael R Kessler - One of the best experts on this subject based on the ideXlab platform.
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low viscosity cyanate ester resin for the injection repair of hole edge delaminations in bismaleimide carbon fiber composites
Composites Part A-applied Science and Manufacturing, 2013Co-Authors: Mahendra Thunga, Mufit Akinc, Wilber Y Lio, Kelsey Larson, Thilina Weerasekera, Michael R KesslerAbstract:M. Thunga, K. Larson, W. Lio, T. Weerasekera, M. Akinc, M. R. Kessler: Low Viscosity Cyanate Ester Resin for the Injection Repair of Hole-edge Delaminations in Bismaleimide/Carbon Fiber Composites, Composites Part A: Applied Science and Manufacturing, 2013, 52, 31-37. doi:10.1016/j.compositesa.2013.05.001.
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cure kinetics characterization and monitoring of an epoxy resin using dsc raman spectroscopy and dea
Composites Part A-applied Science and Manufacturing, 2013Co-Authors: Ricky Hardis, Michael R Kessler, Julie L P Jessop, Frank PetersAbstract:R. Hardis, J. Jessop, F. E. Peters, M. R. Kessler. Cure Kinetics Characterization and Monitoring of an Epoxy Resin for Thick Composite Structures, Composites Part A: Applied Science and Manufacturing, 2013, 49, 100-108. doi:10.1016/j.compositesa.2013.01.021.
Robert Aunger - One of the best experts on this subject based on the ideXlab platform.
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behaviour centred design towards an Applied Science of behaviour change
Health Psychology Review, 2016Co-Authors: Robert Aunger, Val CurtisAbstract:ABSTRACTBehaviour change has become a hot topic. We describe a new approach, Behaviour Centred Design (BCD), which encompasses a theory of change, a suite of behavioural determinants and a programme design process. The theory of change is generic, assuming that successful interventions must create a cascade of effects via environments, through brains, to behaviour and hence to the desired impact, such as improved health. Changes in behaviour are viewed as the consequence of a reinforcement learning process involving the targeting of evolved motives and changes to behaviour settings, and are produced by three types of behavioural control mechanism (automatic, motivated and executive). The implications are that interventions must create surprise, revalue behaviour and disrupt performance in target behaviour settings. We then describe a sequence of five steps required to design an intervention to change specific behaviours: Assess, Build, Create, Deliver and Evaluate. The BCD approach has been shown to chang...
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behaviour centred design towards an Applied Science of behaviour change
Health Psychology Review, 2016Co-Authors: Robert Aunger, Val CurtisAbstract:Behaviour change has become a hot topic. We describe a new approach, Behaviour Centred Design (BCD), which encompasses a theory of change, a suite of behavioural determinants and a programme design process. The theory of change is generic, assuming that successful interventions must create a cascade of effects via environments, through brains, to behaviour and hence to the desired impact, such as improved health. Changes in behaviour are viewed as the consequence of a reinforcement learning process involving the targeting of evolved motives and changes to behaviour settings, and are produced by three types of behavioural control mechanism (automatic, motivated and executive). The implications are that interventions must create surprise, revalue behaviour and disrupt performance in target behaviour settings. We then describe a sequence of five steps required to design an intervention to change specific behaviours: Assess, Build, Create, Deliver and Evaluate. The BCD approach has been shown to change hygiene, nutrition and exercise-related behaviours and has the advantages of being applicable to product, service or institutional design, as well as being able to incorporate future developments in behaviour Science. We therefore argue that BCD can become the foundation for an Applied Science of behaviour change.
Steven Jones - One of the best experts on this subject based on the ideXlab platform.
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areas anti derivatives and adding up pieces definite integrals in pure mathematics and Applied Science contexts
The Journal of Mathematical Behavior, 2015Co-Authors: Steven JonesAbstract:Abstract Research in mathematics and Science education reveals a disconnect for students as they attempt to apply their mathematical knowledge to Science and engineering. With this conclusion in mind, this paper investigates a particular calculus topic that is used frequently in Science and engineering: the definite integral. The results of this study demonstrate that certain conceptualizations of the definite integral, including the area under a curve and the values of an anti-derivative, are limited in their ability to help students make sense of contextualized integrals. In contrast, the Riemann sum-based “adding up pieces” conception of the definite integral (renamed in this paper as the “multiplicatively-based summation” conception) is helpful and useful in making sense of a variety of Applied integral expressions and equations. Implications for curriculum and instruction are discussed.
Tarik A Rashid - One of the best experts on this subject based on the ideXlab platform.
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dragonfly algorithm and its applications in Applied Science survey
Computational Intelligence and Neuroscience, 2019Co-Authors: Chnoor M Rahman, Tarik A RashidAbstract:One of the most recently developed heuristic optimization algorithms is dragonfly by Mirjalili. Dragonfly algorithm has shown its ability to optimizing different real-world problems. It has three variants. In this work, an overview of the algorithm and its variants is presented. Moreover, the hybridization versions of the algorithm are discussed. Furthermore, the results of the applications that utilized the dragonfly algorithm in Applied Science are offered in the following area: machine learning, image processing, wireless, and networking. It is then compared with some other metaheuristic algorithms. In addition, the algorithm is tested on the CEC-C06 2019 benchmark functions. The results prove that the algorithm has great exploration ability and its convergence rate is better than the other algorithms in the literature, such as PSO and GA. In general, in this survey, the strong and weak points of the algorithm are discussed. Furthermore, some future works that will help in improving the algorithm’s weak points are recommended. This study is conducted with the hope of offering beneficial information about dragonfly algorithm to the researchers who want to study the algorithm.
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dragonfly algorithm and its applications in Applied Science survey
arXiv: Neural and Evolutionary Computing, 2019Co-Authors: Chnoor M Rahman, Tarik A RashidAbstract:One of the most recently developed heuristic optimization algorithms is dragonfly by Mirjalili. Dragonfly algorithm has shown its ability to optimizing different real world problems. It has three variants. In this work, an overview of the algorithm and its variants is presented. Moreover, the hybridization versions of the algorithm are discussed. Furthermore, the results of the applications that utilized dragonfly algorithm in Applied Science are offered in the following area: Machine Learning, Image Processing, Wireless, and Networking. It is then compared with some other metaheuristic algorithms. In addition, the algorithm is tested on the CEC-C06 2019 benchmark functions. The results prove that the algorithm has great exploration ability and its convergence rate is better than other algorithms in the literature, such as PSO and GA. In general, in this survey the strong and weak points of the algorithm are discussed. Furthermore, some future works that will help in improving the algorithm's weak points are recommended. This study is conducted with the hope of offering beneficial information about dragonfly algorithm to the researchers who want to study the algorithm.
