950 resultados para sciences européennes, applications
Resumo:
Building on the strengths of its popular previous edition Management: Core Concepts and Applications, 2nd Australasian edition has been thoroughly revised and updated to reflect the three keyaspects of contemporary undergraduate introductory management education: Management theory Concept application Skills development. The text's 16 chapters are presented in a lively and concise mannerideal for the typical 12 or 13 teaching weeks of a semester. Itsflexible framework allows instructors to teach students through the useof interactive tools such as case studies, exercises and projects.These action-oriented learning activities complement the text's solidfoundation of knowledge-based theory material. There is a balanced coverage of both small to medium sizedenterprises and larger multinational organisations operating inAustralia, New Zealand and the Asia-Pacific region. A critical thinkingperspective is integrated throughout the book, asking and encouragingstudents to analyse the theory in light of real-world examples. Each copy of the printed textbook comes with a free copy of the Wiley Desktop Edition:a full electronic version of the text that allows students to easilysearch for key concepts, create their own colour-coded highlights andmake electronic notes in the text for revision. Key themes of the text include: The importance of ethical and socially responsible management Recognition of the continuing need to cater for the increasing diversity of the workforce The importance of managing people, technology, knowledge and quality in achieving organisational goals An appreciation of the challenges and opportunities presented bythe ever changing environment in which contemporary managers operate.
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Research on social networking sites like Facebook is emerging but sparse. This exploratory study investigates the value users derive from self-described ‘cool’ Facebook applications, and explores the features that either encourage or discourage users to recommend applications to their friends. The concepts of value and cool are explored in a social networking context. Our qualitative data reveals consumers derive a combination of functional value along with either social or emotional value from the applications. Female Facebook users indicate self-expression as important motivators, while males tend to use Facebook applications to socially compete. Three broad categories emerged for application features; symmetrical features can both encourage or discourage recommendation, polar features where different levels of the same feature encourage or discourage, and uni-directional features only encourage or discourage but not both. Recommending or not recommending an application tends to be the result of a combination of features and context, rather than one feature in isolation.
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Articular cartilage is a highly hydrated tissue with depth-dependent cellular and matrix properties that provide low-friction load bearing in joints. However, the structure and function are frequently lost and there is insufficient repair response to regenerate high-quality cartilage. Several hydrogel-based tissue-engineering strategies have recently been developed to form constructs with biomimetic zonal variations to improve cartilage repair. Modular hydrogel systems allow for systematic control over hydrogel properties, and advanced fabrication techniques allow for control over construct organization. These technologies have great potential to address many unanswered questions involved in prescribing zonal properties to tissue-engineered constructs for cartilage repair.
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Process Control Systems (PCSs) or Supervisory Control and Data Acquisition (SCADA) systems have recently been added to the already wide collection of wireless sensor networks applications. The PCS/SCADA environment is somewhat more amenable to the use of heavy cryptographic mechanisms such as public key cryptography than other sensor application environments. The sensor nodes in the environment, however, are still open to devastating attacks such as node capture, which makes designing a secure key management challenging. In this paper, a key management scheme is proposed to defeat node capture attack by offering both forward and backward secrecies. Our scheme overcomes the pitfalls which Nilsson et al.'s scheme suffers from, and is not more expensive than their scheme.
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Harmful Algal Blooms (HABs) are a worldwide problem that have been increasing in frequency and extent over the past several decades. HABs severely damage aquatic ecosystems by destroying benthic habitat, reducing invertebrate and fish populations and affecting larger species such as dugong that rely on seagrasses for food. Few statistical models for predicting HAB occurrences have been developed, and in common with most predictive models in ecology, those that have been developed do not fully account for uncertainties in parameters and model structure. This makes management decisions based on these predictions more risky than might be supposed. We used a probit time series model and Bayesian Model Averaging (BMA) to predict occurrences of blooms of Lyngbya majuscula, a toxic cyanophyte, in Deception Bay, Queensland, Australia. We found a suite of useful predictors for HAB occurrence, with Temperature figuring prominently in models with the majority of posterior support, and a model consisting of the single covariate average monthly minimum temperature showed by far the greatest posterior support. A comparison of alternative model averaging strategies was made with one strategy using the full posterior distribution and a simpler approach that utilised the majority of the posterior distribution for predictions but with vastly fewer models. Both BMA approaches showed excellent predictive performance with little difference in their predictive capacity. Applications of BMA are still rare in ecology, particularly in management settings. This study demonstrates the power of BMA as an important management tool that is capable of high predictive performance while fully accounting for both parameter and model uncertainty.
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Discrete event-driven simulations of digital communication networks have been used widely. However, it is difficult to use a network simulator to simulate a hybrid system in which some objects are not discrete event-driven but are continuous time-driven. A networked control system (NCS) is such an application, in which physical process dynamics are continuous by nature. We have designed and implemented a hybrid simulation environment which effectively integrates models of continuous-time plant processes and discrete-event communication networks by extending the open source network simulator NS-2. To do this a synchronisation mechanism was developed to connect a continuous plant simulation with a discrete network simulation. Furthermore, for evaluating co-design approaches in an NCS environment, a piggybacking method was adopted to allow the control period to be adjusted during simulations. The effectiveness of the technique is demonstrated through case studies which simulate a networked control scenario in which the communication and control system properties are defined explicitly.
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We present a new penalty-based genetic algorithm for the multi-source and multi-sink minimum vertex cut problem, and illustrate the algorithm’s usefulness with two real-world applications. It is proved in this paper that the genetic algorithm always produces a feasible solution by exploiting some domain-specific knowledge. The genetic algorithm has been implemented on the example applications and evaluated to show how well it scales as the problem size increases.
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With increasingly complex engineering assets and tight economic requirements, asset reliability becomes more crucial in Engineering Asset Management (EAM). Improving the reliability of systems has always been a major aim of EAM. Reliability assessment using degradation data has become a significant approach to evaluate the reliability and safety of critical systems. Degradation data often provide more information than failure time data for assessing reliability and predicting the remnant life of systems. In general, degradation is the reduction in performance, reliability, and life span of assets. Many failure mechanisms can be traced to an underlying degradation process. Degradation phenomenon is a kind of stochastic process; therefore, it could be modelled in several approaches. Degradation modelling techniques have generated a great amount of research in reliability field. While degradation models play a significant role in reliability analysis, there are few review papers on that. This paper presents a review of the existing literature on commonly used degradation models in reliability analysis. The current research and developments in degradation models are reviewed and summarised in this paper. This study synthesises these models and classifies them in certain groups. Additionally, it attempts to identify the merits, limitations, and applications of each model. It provides potential applications of these degradation models in asset health and reliability prediction.
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Most infrastructure projects share the same characteristics in term of management aspects and shortcomings. Human factor is believed to be the major drawbacks due to the nature of unstructured problems which can further contribute to management conflicts. This growing complexity in infrastructure projects has shift the paradigm of policy makers to adopt Information Communication Technology (ICT) as a driving force. For this reason, it is vital to fully maximise and utilise the recent technologies to accelerate management process particularly in planning phase. Therefore, a lot of tools have been developed to assist decision making in construction project management. The variety of uncertainties and alternatives in decision making can be entertained by using useful tool such as Decision Support System (DSS). However, the recent trend shows that most DSS in this area only concentrated in model development and left few fundamentals of computing. Thus, most of them were found complicated and less efficient to support decision making within project team members. Due to the current incapability of many software aspects, it is desirable for DSS to provide more simplicity, better collaborative platform, efficient data manipulation and reflection to user needs. By considering these factors, the paper illustrates four challenges for future DSS development i.e. requirement engineering, communication framework, data management and interoperability, and software usability
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This research deals with the interaction of family provision law and charitable bequests in wills, including qualitative research relating to the practical issues arising with both legal practitioners and charities’ bequest officers.
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The paper reports on the findings of a community learning approach to doctoral education involving scholarly writing groups (SWGs) which was developed and implemented in the context of a higher degree research programme within the social sciences in an Australian university. The research evaluated the impact of the teaching intervention on students' perceptions of the community learning experience, their knowledge of scholarly writing and their attitudes towards writing. The findings are suggestive of the advantages of community approaches to learning in higher degree research education as a supplement to independent supervision. The SWGs were associated with improvements in both participants' knowledge of scholarly writing and their attitudes towards writing. However, a variety of characteristics of doctoral education are potential impediments to the creation of ongoing and regular interactions in learning communities such as SWGs. The paper concludes that a flexible approach to the recognition and enhancement of community approaches to learning is required to acknowledge the complex and diverse context of contemporary doctoral education.
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The Perth Declaration on Science and Technology Education of 2007 expresses strong concern about the state of science and technology education worldwide and calls on governments to respond to a number of suggestions for establishing the structural conditions for their improved practice. The quality of school education in science and technology has never before been of such critical importance to governments. There are three imperatives for its critical importance. The first relates to the traditional role of science in schooling, namely the identification, motivation and initial preparation of those students who will go on to further studies for careers in all those professional fi elds that directly involve science and technology. A suffi cient supply of these professionals is vital to the economy of all countries and to the health of their citizens. In the 21st century they are recognised everywhere as key players in ensuring that industrial and economic development occurs in a socially and environmentally sustainable way. In many countries this supply is now falling seriously short and urgently needs to be addressed. The second imperative is that sustainable technological development and many other possible societal applications of science require the support of scientifically and technologically informed citizens. Without the support and understanding of citizens, technological development can all too easily serve short term and sectional interests. The longer term progress of the whole society is overlooked, citizens will be confused about what should, and what should not be supported, and reactive and the environment will continue to be destroyed rather than sustained. Sustainable development, and the potential that science and technology increasingly offers, involves societies in ways that can often interact strongly, with traditional values, and hence, making decisions about them involve major moral decisions. All students need to be prepared through their science and technology education to be able to participate actively as persons and as responsible citizens in these essential and exciting possibilities. This goal is far from being generally achieved at present, but pathways to it are now more clearly understood. The third imperative derives from the changes that are resulting from the application of digital technologies that are the most rapid, the most widespread, and probably the most pervasive influence that science has ever had on human society. We all, wherever we live, are part of a global communication society. Information exchange and access to it that have been hitherto the realm of the few, are now literally in the hands of individuals. This is leading to profound changes in the World of Work and in what is known as the Knowledge Society. Schooling is now being challenged to contribute to the development in students of an active repertoire of generic and subject-based competencies. This contrasts very strongly with existing priorities, in subjects like the sciences that have seen the size of a student’s a store of established knowledge as the key measure of success. Science and technology education needs to be a key component in developing these competencies. When you add to these imperatives, the possibility that a more effective education in science and technology will enable more and more citizens to delight in, and feel a share in the great human enterprise we call Science, the case for new policy decisions is compellingly urgent. What follows are the recommendations (and some supplementary notes) for policy makers to consider about more operational aspects for improving science and technology education. They are listed under headings that point to the issues within each of these aspects. In the full document, a background is provided to each set of issues, including the commonly current state of science and technology education. Associated with each recommendation for consideration are the positive Prospects that could follow from such decision making, and the necessary Prerequisites, if such bold policy decisions are to fl ow, as intended, into practice in science and technology classrooms.
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A surface plasmon resonance-based solution affinity assay is described for measuring the Kd of binding of heparin/heparan sulfate-binding proteins with a variety of ligands. The assay involves the passage of a pre-equilibrated solution of protein and ligand over a sensor chip onto which heparin has been immobilised. Heparin sensor chips prepared by four different methods, including biotin–streptavidin affinity capture and direct covalent attachment to the chip surface, were successfully used in the assay and gave similar Kd values. The assay is applicable to a wide variety of heparin/HS-binding proteins of diverse structure and function (e.g., FGF-1, FGF-2, VEGF, IL-8, MCP-2, ATIII, PF4) and to ligands of varying molecular weight and degree of sulfation (e.g., heparin, PI-88, sucrose octasulfate, naphthalene trisulfonate) and is thus well suited for the rapid screening of ligands in drug discovery applications.
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In a typical collaborative application, users contends for common resources by mutual exclusion. The introduction of multi-modal environment, however, introduced problems such as frequent dropping of connection or limited connectivity speed of mobile users. This paper target 3D resources which require additional considerations such as dependency of users' manipulation command. This paper introduces Dynamic Locking Synchronisation technique to enable seamless and collaborative environment for large number of user, by combining the contention-free concepts of locking mechanism and the seamless nature of lockless design.
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Multi-resolution modelling has become essential as modern 3D applications demand 3D objects with higher LODs (LOD). Multi-modal devices such as PDAs and UMPCs do not have sufficient resources to handle the original 3D objects. The increased usage of collaborative applications has created many challenges for remote manipulation working with 3D objects of different quality. This paper studies how we can improve multi-resolution techniques by performing multiedge decimation and using annotative commands. It also investigates how devices with poorer quality 3D object can participate in collaborative actions.