862 resultados para Context-based
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Some of the most pressing problems currently facing chemical education throughout the world are rehearsed. It is suggested that if the notion of "context" is to be used as the basis for an address to these problems, it must enable a number of challenges to be met. Four generic models of "context" are identified that are currently used or that may be used in some form within chemical education as the basis for curriculum design. It is suggested that a model based on physical settings, together with their cultural justifications, and taught with a socio-cultural perspective on learning, is likely to meet those challenges most fully. A number of reasons why the relative efficacies of these four models of approaches cannot be evaluated from the existing research literature are suggested. Finally, an established model for the representation of the development of curricula is used to discuss the development and evaluation of context-based chemical curricula.
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Since Sharir and Pnueli, algorithms for context-sensitivity have been defined in terms of 'valid' paths in an interprocedural flow graph. The definition of valid paths requires atomic call and ret statements, and encapsulated procedures. Thus, the resulting algorithms are not directly applicable when behavior similar to call and ret instructions may be realized using non-atomic statements, or when procedures do not have rigid boundaries, such as with programs in low level languages like assembly or RTL. We present a framework for context-sensitive analysis that requires neither atomic call and ret instructions, nor encapsulated procedures. The framework presented decouples the transfer of control semantics and the context manipulation semantics of statements. A new definition of context-sensitivity, called stack contexts, is developed. A stack context, which is defined using trace semantics, is more general than Sharir and Pnueli's interprocedural path based calling-context. An abstract interpretation based framework is developed to reason about stack-contexts and to derive analogues of calling-context based algorithms using stack-context. The framework presented is suitable for deriving algorithms for analyzing binary programs, such as malware, that employ obfuscations with the deliberate intent of defeating automated analysis. The framework is used to create a context-sensitive version of Venable et al.'s algorithm for analyzing x86 binaries without requiring that a binary conforms to a standard compilation model for maintaining procedures, calls, and returns. Experimental results show that a context-sensitive analysis using stack-context performs just as well for programs where the use of Sharir and Pnueli's calling-context produces correct approximations. However, if those programs are transformed to use call obfuscations, a contextsensitive analysis using stack-context still provides the same, correct results and without any additional overhead. © Springer Science+Business Media, LLC 2011.
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Background: The inherent complexity of statistical methods and clinical phenomena compel researchers with diverse domains of expertise to work in interdisciplinary teams, where none of them have a complete knowledge in their counterpart's field. As a result, knowledge exchange may often be characterized by miscommunication leading to misinterpretation, ultimately resulting in errors in research and even clinical practice. Though communication has a central role in interdisciplinary collaboration and since miscommunication can have a negative impact on research processes, to the best of our knowledge, no study has yet explored how data analysis specialists and clinical researchers communicate over time. Methods/Principal Findings: We conducted qualitative analysis of encounters between clinical researchers and data analysis specialists (epidemiologist, clinical epidemiologist, and data mining specialist). These encounters were recorded and systematically analyzed using a grounded theory methodology for extraction of emerging themes, followed by data triangulation and analysis of negative cases for validation. A policy analysis was then performed using a system dynamics methodology looking for potential interventions to improve this process. Four major emerging themes were found. Definitions using lay language were frequently employed as a way to bridge the language gap between the specialties. Thought experiments presented a series of ""what if'' situations that helped clarify how the method or information from the other field would behave, if exposed to alternative situations, ultimately aiding in explaining their main objective. Metaphors and analogies were used to translate concepts across fields, from the unfamiliar to the familiar. Prolepsis was used to anticipate study outcomes, thus helping specialists understand the current context based on an understanding of their final goal. Conclusion/Significance: The communication between clinical researchers and data analysis specialists presents multiple challenges that can lead to errors.
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The purpose of this article is to initiate a philosophical discussion about the ethical component of professional competence in nursing from the perspective of Brazilian nurses. Specifically, this article discusses professional competence in nursing practice in the Brazilian health context, based on two different conceptual frameworks. The first framework is derived from the idealistic and traditional approach while the second views professional competence through the lens of historical and dialectical materialism theory. The philosophical analyses show that the idealistic view of professional competence differs greatly from practice. Combining nursing professional competence with philosophical perspectives becomes a challenge when ideals are opposed by the reality and implications of everyday nursing practice.
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The processing of lexical ambiguity in context was investigated in eight individuals with schizophrenia and a matched control group. Participants made speeded lexical decisions on the third word in auditory word triplets representing concordant (coin-bank-money), discordant (river-bank-money). neutral (day-bank-money), and unrelated (river-day-money) conditions. When the interstimulus interval (ISI) between the words was 100 ms. individuals with schizophrenia demonstrated priming consistent with selective. context-based lexical activation. At 1250 ms ISI a pattern of nonselective meaning facilitation was obtained. These results suggest an attentional breakdown in the sustained inhibition of meanings on the basis of lexical context. (C) 2002 Elsevier Science (USA).
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Dissertação de Mestrado, Estudos Integrados dos Oceanos, 13 de Fevereiro de 2014, Universidade dos Açores.
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23rd SPACE AGM and Conference from 9 to 12 May 2012 Conference theme: The Role of Professional Higher Education: Responsibility and Reflection Venue: Mikkeli University of Applied Sciences, Mikkeli, Finland
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The Darwinian Particle Swarm Optimization (DPSO) is an evolutionary algorithm that extends the Particle Swarm Optimization using natural selection to enhance the ability to escape from sub-optimal solutions. An extension of the DPSO to multi-robot applications has been recently proposed and denoted as Robotic Darwinian PSO (RDPSO), benefiting from the dynamical partitioning of the whole population of robots, hence decreasing the amount of required information exchange among robots. This paper further extends the previously proposed algorithm adapting the behavior of robots based on a set of context-based evaluation metrics. Those metrics are then used as inputs of a fuzzy system so as to systematically adjust the RDPSO parameters (i.e., outputs of the fuzzy system), thus improving its convergence rate, susceptibility to obstacles and communication constraints. The adapted RDPSO is evaluated in groups of physical robots, being further explored using larger populations of simulated mobile robots within a larger scenario.
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This study discusses some fundamental issues so that the development and diffusion of services based in cloud computing happen positively in several countries. For exposure of this subject is discusses public initiatives by the most advanced countries in terms of cloud computing application and the brazilin position in this context. Based on presented evidences here it appears that the essential elements for the development and diffusion of cloud computing in Brazil made important steps and show evidence of maturity, as the cybercrime legislation. However, other elements still require analysis and specifically adaptations for the cloud computing case, such as the Intellectual Property Rights. Despite showing broadband services still lacking, one cannot disregard the government effort to facilitate access for all society. In contrast, the large volume of the Brazilian IT market is an interest factor for companies seeking to invest in the country.
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Dissertação de mestrado em Relações Internacionais
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Learning object economies are marketplaces for the sharing and reuse of learning objects (LO). There are many motivations for stimulating the development of the LO economy. The main reason is the possibility of providing the right content, at the right time, to the right learner according to adequate quality standards in the context of a lifelong learning process; in fact, this is also the main objective of education. However, some barriers to the development of a LO economy, such as the granularity and editability of LO, must be overcome. Furthermore, some enablers, such as learning design generation and standards usage, must be promoted in order to enhance LO economy. For this article, we introduced the integration of distributed learning object repositories (DLOR) as sources of LO that could be placed in adaptive learning designs to assist teachers’ design work. Two main issues presented as a result: how to access distributed LO, and where to place the LO in the learning design. To address these issues, we introduced two processes: LORSE, a distributed LO searching process, and LOOK, a micro context-based positioning process, respectively. Using these processes, the teachers were able to reuse LO from different sources to semi-automatically generate an adaptive learning design without leaving their virtual environment. A layered evaluation yielded good results for the process of placing learning objects from controlled learning object repositories into a learning design, and permitting educators to define different open issues that must be covered when they use uncontrolled learning object repositories for this purpose. We verified the satisfaction users had with our solution
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Under the circumstances of the increasing market pressure, enterprises try to improve their competitive position by development efforts, and a business development project is one tool for that. There are not many answers to the question of how the development projects launched to improve the business performance in SMEs have succeeded. Theacademic interest in the business development project success has mainly focused on projects implemented in larger organisations rather than in SMEs. The previous studies on the business success of SMEs have mainly focused on new business ventures rather than on existing SMEs. However, nowadays a large number of business development projects are undertaken in existing SMEs, where they can pose a great challenge. This study focuses on business development success in SMEs thathave already established their business. The objective of the present study is to gain a deep understanding on business development project success in the SME-context and to identify the dimensions and factors affecting the project success. Further, the aim is to clarify how the business development projects implemented in SMEs have affected their performance. The empirical evidence is based on multiple case study. This study builds a framework for a generic theory of business development success in the SME-context, based on literature from the areas ofproject and change management, entrepreneurship and small business management, as well as performance measurement, and on empirical evidence from SMES. The framework consists of five success dimensions: entrepreneurial, project preparation, change management, project management and project success. The framework provides a systematic way for analysing the business development project and its impact on the performance and on the performing company. This case evidence indicates that successful business development projects have a balanced, high performance concerning all the dimensions. Good performance in one dimension is not enoughfor the project success, but it gives a good ground for the other dimensions. The other way round, poor performance in one success dimension affects the others, leading to poor performance of the project. In the SME-context the business development project success seems to be dependent on several interrelated dimensions and factors. Success in one area leads to success in other areas, and so creates an upward success spiral. Failure in one area seems to lead to failure in other areas, creating a downward failure spiral. The study indicates that the internal business development projects have affected the SMEs' performance widely also on areas and functions not initially targeted. The implications cover all thesuccess categories: the project efficiency, the impact on the customer, the business success and the future potentiality. With successful cases, the success tends to spread out to areas and functions not mentioned as the project goals, andwith unsuccessful cases the failure seems to spread out widely to the SMEs' other functions. This study also indicates that the most important key factors for successful business development project implementation are the strength of intention, business ability, knowledge, motivation and participation of the employees, as well as adequate and well-timed training provided to the employees.
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Tämän tutkimuksen tavoitteena oli luoda tavoitemalli TeliaSonera Finland Oyj:n vianhallintapalveluille. Tavoitemalli tuli muodostaa niin, että se tukee laadukasta ja tuottavaa teollista palvelutuotantoa. Tavoitemalli muodostettiin suhteellisen laajan teoriakatsauksen perusteella, joka tehtiin tiedon näkökulmasta. Palvelujen hallinnan viitekehyksessä tutkittiin palvelujen suorituskykyä, jossa erityisesti paneuduttiin laatuun, tuottavuuteen ja palvelutuotannon psykososiaaliseen työympäristöön. Tähän kokonaisuuteen yhdistettiin tutkimustietoa palvelujen teollistamisesta, sekä otettiin huomioon tietointensiivisen organisaation yleiset menestystekijät. Näin muodostettiin tietointensiivisen palvelutuotannon hallinnan ja kehittämisen viitekehys, jota sovellettiin vianhallintapalvelujen tavoitetilan muodostamiseen. Vianhallinnan tavoitetila testattiinosin empiirisesti, mutta lisätutkimusta tarvitaan työssä muodostetun teoreettisen viitekehyksen arviointiin.
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We describe a community intervention program performed in three rural villages in the Alt Empordà region (Girona province). The study provides data on the services available to the elderly in a specific context, based on an initiative proposed by the villages, the local councils, and the elderly themselves. The program is a research-action plan which applies the participative and qualitative methodology characteristic of strategic planning. The study analyses how the initiative arose, the description of the process, and the different parts of the intervention program
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This study analyzed high-density event-related potentials (ERPs) within an electrical neuroimaging framework to provide insights regarding the interaction between multisensory processes and stimulus probabilities. Specifically, we identified the spatiotemporal brain mechanisms by which the proportion of temporally congruent and task-irrelevant auditory information influences stimulus processing during a visual duration discrimination task. The spatial position (top/bottom) of the visual stimulus was indicative of how frequently the visual and auditory stimuli would be congruent in their duration (i.e., context of congruence). Stronger influences of irrelevant sound were observed when contexts associated with a high proportion of auditory-visual congruence repeated and also when contexts associated with a low proportion of congruence switched. Context of congruence and context transition resulted in weaker brain responses at 228 to 257 ms poststimulus to conditions giving rise to larger behavioral cross-modal interactions. Importantly, a control oddball task revealed that both congruent and incongruent audiovisual stimuli triggered equivalent non-linear multisensory interactions when congruence was not a relevant dimension. Collectively, these results are well explained by statistical learning, which links a particular context (here: a spatial location) with a certain level of top-down attentional control that further modulates cross-modal interactions based on whether a particular context repeated or changed. The current findings shed new light on the importance of context-based control over multisensory processing, whose influences multiplex across finer and broader time scales.