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Bayesian network revealing pathways to workplace innovation and career satisfaction in the public service

Journal of Management Analytics 2020年第2期7卷 253-280页

作者： Warit Wipulanusat Kriengsak Panuwatwanich rodney A.stewart stewart L.Arnold Jue Wang Logistics and Business Analytics Center of Excellence and School of Engineering and Technology Walailak UniversityNakhonsithammaratThailand School of Civil Engineering and Technology Sirindhorn International Institute of TechnologyThammasat UniversityPathum ThaniThailand School of Engineering and Built Environment Griffith UniversityQueenslandAustralia Nanyang Business School Nanyang Technological UniversitySingapore School of Social Sciences Nanyang Technological UniversitySingapore

This paper examined the innovation process in the Australian Public Service(APS)using a Bayesian network(BN)founded on an empirically derived structural equation *** focus of the BN was to examine the impact of leadership style and organisational culture on workplace innovation and career satisfaction in the *** scenario analysis,the best combination of managerial actions for enhancing APS career satisfaction was *** results emphasise the benefit of encouraging management to adopt a transformational leadership style and instilling innovative culture in their *** addition,innovative culture was a key driver of workplace innovation,which served to improve the career satisfaction of APS *** are discussed to propose practical strategies for organisations wish to encourage innovation among employees.

关键词： innovation public sectors scenario analysis Bayesian network structural equation model

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A novel mathematical template for developing fDOM probe fluorescence signal correction models for freshwaters

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Journal of Environmental Sciences 2024年第12期146卷 103-117页

作者： Hiua Daraei Edoardo Bertone John Awad rodney A.stewart Christopher W.K.Chow Jinming Duan Amanda Mussared John Van Leeuwen Sustainable Infrastructure and Resource Management(SIRM) UniSA STEMUniversity of South AustraliaMawson LakesSA 5095Australia Griffith School of Engineering and Built Environment Griffith UniversityQueensland 4222Australia Cities Research Institute Griffith UniversityParklands DriveSouthportQueensland 4222Australia CSIRO Environment AdelaideSA 5000Australia Australian Water Quality Centre SA Water250 Victoria SquareAdelaideSA 5000Australia Australian Rivers Institute Griffith University170 Kessels RoadNathanQueensland 4111Australia Environmental Health Research Centre Kurdistan University of Medical SciencesSanandajKurdistanIran

The reliable application of field deployable fluorescent dissolved organic matter(fDOM)probes is hindered by several influencing factors which need to be *** manuscript describes the corrections of temperature,pH,turbidity and inner filter effect on fluorescence signal of a commercial fDOM probe(fDOMs).For this,Australian waters with wide ranging qualities were selected,*** organic carbon(DOC)ranging from∼1 to∼30 mg/L,specific UV absorbance at 254 nm from∼1 to∼6 L/m/mg and turbidity from∼1 to∼350 ***-based model calibration experiments(MCEs)were performed.A model template was developed and used for the development of the correction *** each factor,data generated through MCEs were used to determine model coefficient(α)values by fitting the generated model to the experimental *** discrete factor models were generated by determination of a factor-specificα***αvalues derived for each water of the MCEs subset were consistent for each factor *** indicated generic nature of the fourαvalues across wide-ranging water *** correlation between fDOMs and DOC were achieved after applying the four-factor compensation models to new data(r,0.96,p<0.05).Also,average biases(and%)between DOC predicted through fDOMs and actual DOC were decreased by applying the four-factor compensationmodel(from3.54(60.9%)to 1.28(16.7%)mg/L DOC).These correction models were incorporated into a Mi-crosoft EXCEL-based software termed EXOf-Correct for ready-to-use applications.

关键词： Surface waters Online monitoring fDOM probes Fluorescence signal Model-based corrections

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赛灵思与微软的智能车载信息系统

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电子产品世界 2005年第12B期12卷 80-81,97页

作者： rodney stewart Xilinx公司

根据美国交通部的一项研究,全世界人们每周在汽车上度过的交通时间超过5亿小时.既然花在汽车上的时间如此之多,人们希望能够利用这些时间来享受娱乐,同心爱的人说说话,甚至完成一些通常需要在工作场所才能完成的任务.

关键词：车载信息系统智能微软工作场所交通部时间汽车

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语音+互联网的智能车载信息系统

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中国电子商情(基础电子) 2007年第6期 44-46页

作者： rodney stewart David Vornholt 赛灵思公司汽车业务部赛灵思公司

根据美国交通部的一项研究,全世界人们每周在汽车上度过的交通时间超过5亿小时。既然花在汽车上的时间如此之多,人们希望能够利用这些时间来享受娱乐,同心爱的人说说话,甚至完成一些通常需要在工作场所才能完成的任务。

关键词：车载信息系统消费生产关系汽车制造商语音识别信息处理平台微软

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Achieving energy efficiency in government buildings through mandatory policy and program enforcement

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Frontiers of Engineering Management 2017年第1期4卷 92-103页

作者： Patrick X.W.ZOU Morshed ALAM Van Manh PHUNG Dipika WAGLE rodney stewart Edoardo BERTONE Oz SAHIN Chris BUNTINE Department of Civil and Construction Engineering & Centre for Sustainable Infrastructure Swinburne University of Technology Griffith School of Engineering Griffith University Built Environment Aurecon

Government buildings are responsible for a significant proportion of energy consumption worldwide,for example, in Australia, up to 41.5 PJ energy was consumed by government buildings in 2011–2012. While the newly constructed buildings may be energy efficient,the existing buildings, which account for more than 85% of the total building stock, were built prior to the time when energy rating systems was put in practice and are consequently energy inefficient to a large degree. Reducing the energy consumption in existing government buildings is essential, as it will not only reduce the costs and environmental impacts, but also show governments' strong commitment towards the reduction of greenhouse gas emission. Furthermore, successful building energy retrofit projects are the showcases to the general public, encouraging other sectors(e.g. commercial) to conduct building retrofits for energy savings. Recognising these benefits,several state governments in Australia have introduced building energy efficiency policies and programs. This paper reviewed the energy efficiency policies/programs in five States in Australia: Victoria, New South Wales, South Australia, Western Australia, and Queensland in terms of respective policies and targets, implementation methods and current progress. The lessons learned from these programs were also discussed. This research revealed that the key factors for a successful government buildingenergy retrofitting program are 1) having a properly enforced energy efficiency mandate with clear energy saving targets, 2) establishing an expert facilitation team and 3) implementing suitable financing and procurement methods.

关键词： building energy retrofit policy energy efficiency energy performance contract energy auditing

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