16 resultados para Information by segment

em Aston University Research Archive


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The realization of the Semantic Web is constrained by a knowledge acquisition bottleneck, i.e. the problem of how to add RDF mark-up to the millions of ordinary web pages that already exist. Information Extraction (IE) has been proposed as a solution to the annotation bottleneck. In the task based evaluation reported here, we compared the performance of users without access to annotation, users working with annotations which had been produced from manually constructed knowledge bases, and users working with annotations augmented using IE. We looked at retrieval performance, overlap between retrieved items and the two sets of annotations, and usage of annotation options. Automatically generated annotations were found to add value to the browsing experience in the scenario investigated. Copyright 2005 ACM.

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Market-level information diffused by print media may contribute to the legitimation of an emerging technology and thus influence the diffusion of competing technological standards. After analyzing more than 10,000 trade media abstracts from the Local Area Networks (LAN) industry published between 1981 and 2000, we found the presence of differential effects on the adoption of competing standards by two market-level information types: technology and product availability. The significance of these effects depends on the technology's order of entry and suggests that high-tech product managers should make strategic use of market-level information by appropriately focusing the content of their communications. © 2007 Elsevier B.V. All rights reserved.

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Outcomes measures, which is the measurement of effectiveness of interventions and services has been propelled onto the health service agenda since the introduction of the internal market in the 1990s. It arose as a result of the escalating cost of inpatient care, the need to identify what interventions work and in what situations, and the desire for effective information by service users enabled by the consumerist agenda introduced by Working for Patients white paper. The research reported in this thesis is an assessment of the readiness of the forensic mental health service to measure outcomes of interventions. The research examines the type, prevalence and scope of use of outcomes measures, and further seeks a consensus of views of key stakeholders on the priority areas for future development. It discusses the theoretical basis for defining health and advocates the argument that the present focus on measuring effectiveness of care is misdirected without the input of users, particularly patients in their care, drawing together the views of the many stakeholders who have an interest in the provision of care in the service. The research further draws on the theory of structuration to demonstrate the degree to which a duality of action, which is necessary for the development, and use of outcomes measures is in place within the service. Consequently, it highlights some of the hurdles that need to be surmounted before effective measurement of health gain can be developed in the field of study. It concludes by advancing the view that outcomes research can enable practitioners to better understand the relationship between the illness of the patient and the efficacy of treatment. This understanding it is argued would contribute to improving dialogue between the health care practitioner and the patient, and further providing the information necessary for moving away from untested assumptions, which are numerous in the field about the superiority of one treatment approach over another.

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The relationship between parent-child interaction and child pedestrian behaviour was investigated by comparing parent-child communication to road-crossing behaviour. Forty-four children and their parents were observed carrying out a communication task (the Map Task), and were covertly filmed crossing roads around a university campus. The Map Task provided measures of task focus and sensitivity to another's current knowledge, which we predicted would be reflected in road-crossing behaviour. We modelled indices of road behaviour with factor scores derived from a principal-component analysis of communication features, and background variables including the age, sex and traffic experience of the child, and parental education. A number of variables were significantly related to road crossing, including the age and sex of the child, the length of the conversation, and specific conversational features such as the checking and clarification of uncertain information by both parent and child. The theoretical and practical implications of the findings are discussed.

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This thesis investigates corporate financial disclosure practices on Web sites and their impact. This is done, first by examining the views of various Saudi user groups (institutional investors, financial analysts and private investors) on disclosure of financial reporting on the Internet and assessing differences, if any, in perceptions of the groups. Over 303 individuals from three groups responded to a questionnaire. Views were elicited regarding: users attitude to the Internet infrastructure in Saudi Arabia, users information sources about companies in Saudi Arabia, respondents perception about the advantages and disadvantages in Internet financial reporting (IFR), respondents attitude to the quality of IFR provided by Saudi public companies and the impact of IFR on users information needs. Overall, it was found professional groups (Institutional investors, financial analysts) hold similar views in relation to many issues, while the opinions of private investors differ considerably. Second, the thesis examines the use of the Internet for the disclosure of financial and investor-related information by Saudi public companies (113 companies) and look to identify reasons for the differences in the online disclosure practices of companies by testing the association between eight firm-specific factors and the level of online disclosure. The financial disclosure index (167 items) is used to measure public company disclosure in Saudi Arabia. The descriptive part of the study reveals that 95 (84%) of the Saudi public companies in the sample had a website and 51 (45%) had a financial information section of some description. Furthermore, none of the sample companies provided 100% of the 167 index items applicable to the company. Results of multivariate analysis show that firm size and stock market listing are significant explanatory variables for the amount of information disclosed on corporate Web sites. The thesis finds a significant and negative relationship between the proportion of institutional ownership of a companys shares and the level of IFR.

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Research Question/Issue: In this paper, we empirically investigate whether US listed commercial banks with effective corporate governance structures engage in higher levels of conservative financial accounting and reporting. Research Findings/Insights: Using both market- and accrual-based measures of conservatism and both composite and disaggregated governance indices, we document convincing evidence that well-governed banks engage in significantly higher levels of conditional conservatism in their financial reporting practices. For example, we find that banks with effective governance structures, particularly those with effective board and audit governance structures, recognize loan loss provisions that are larger relative to changes in nonperforming loans compared to their counterparts with ineffective governance structures. Theoretical/Academic Implications: We contribute to the extant literature on the relationship between corporate governance and quality of accounting information by providing evidence that banks with effective governance structures practice higher levels of accounting conservatism. Practitioner/Policy Implications: The findings of this study would be useful to US bank regulators/supervisors in improving the existing regulatory framework by focusing on accounting conservatism as a complement to corporate governance in mitigating the opaqueness and intense information asymmetry that plague banks.

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Trauma and damage to the delicate structures of the inner ear frequently occurs during insertion of electrode array into the cochlea. This is strongly related to the excessive manual insertion force of the surgeon without any tool/tissue interaction feedback. The research is examined tool-tissue interaction of large prototype scale (12.5:1) digit embedded with distributive tactile sensor based upon cochlear electrode and large prototype scale (4.5:1) cochlea phantom for simulating the human cochlear which could lead to small scale digit requirements. This flexible digit classified the tactile information from the digit-phantom interaction such as contact status, tip penetration, obstacles, relative shape and location, contact orientation and multiple contacts. The digit, distributive tactile sensors embedded with silicon-substrate is inserted into the cochlea phantom to measure any digit/phantom interaction and position of the digit in order to minimize tissue and trauma damage during the electrode cochlear insertion. The digit is pre-curved in cochlea shape so that the digit better conforms to the shape of the scala tympani to lightly hug the modiolar wall of a scala. The digit have provided information on the characteristics of touch, digit-phantom interaction during the digit insertion. The tests demonstrated that even devices of such a relative simple design with low cost have potential to improve cochlear implants surgery and other lumen mapping applications by providing tactile feedback information by controlling the insertion through sensing and control of the tip of the implant during the insertion. In that approach, the surgeon could minimize the tissue damage and potential damage to the delicate structures within the cochlear caused by current manual electrode insertion of the cochlear implantation. This approach also can be applied diagnosis and path navigation procedures. The digit is a large scale stage and could be miniaturized in future to include more realistic surgical procedures.

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This thesis studies the links between language, migration and integration in the context of the 'new migrant' group of Latin Americans in London. It reviews the many ways in which language impacts the integration processes of migrants by influencing people's access to jobs, services, social contacts and information. By focusing on migrants' experiences this research also investigates the ways in which language and identity articulate, as well as the affective variables that are at play in the acquisition of the local language. With a large sector trapped in a cycle of poor command of English and labour market disadvantage, many Latin Americans experience exclusion and poverty. In reaction to this, a sector of the community is campaigning for ethnic minority recognition. This work reviews the debates for recognition and the strategy of organising around ethnicity, paying special attention to the role language plays in the process. The study is based on over two and half years of qualitative research, which included interviews, surveys, and long-term participant observation within a community organisation and a recognition campaign. Its interdisciplinary perspective allows the recognition of both the intimate links between language and identity, as well as the social and structural forces that influence migrants' linguistic integration. It unveils the practical and symbolic value that the mother tongue has for Latin American migrants and provides a broader account of their experiences. This research calls attention to the need for a more comprehensive approach to the study of language and migration in order to acknowledge the affective and social factors involved in the linguistic practices of migrants. By studying the community's struggles for recognition, this work evidences both the importance of visibility for minority groups in London and the intrinsic methodological limitations of monitoring through ethnic categorisation.

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Geospatial data have become a crucial input for the scientific community for understanding the environment and developing environmental management policies. The Global Earth Observation System of Systems (GEOSS) Clearinghouse is a catalogue and search engine that provides access to the Earth Observation metadata. However, metadata are often not easily understood by users, especially when presented in ISO XML encoding. Data quality included in the metadata is basic for users to select datasets suitable for them. This work aims to help users to understand the quality information held in metadata records and to provide the results to geospatial users in an understandable and comparable way. Thus, we have developed an enhanced tool (Rubric-Q) for visually assessing the metadata quality information and quantifying the degree of metadata population. Rubric-Q is an extension of a previous NOAA Rubric tool used as a metadata training and improvement instrument. The paper also presents a thorough assessment of the quality information by applying the Rubric-Q to all dataset metadata records available in the GEOSS Clearinghouse. The results reveal that just 8.7% of the datasets have some quality element described in the metadata, 63.4% have some lineage element documented, and merely 1.2% has some usage element described. © 2013 IEEE.

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This paper explores the psychological construct of intuition and its influence in decision-making behavior. Intuition was defined by Jung (1971) as a primary mode of perception operating subconsciously. As opposed to sensing personality types who prefer concrete details, intuitive personality types prefer to acquire information by imagining possibilities (Myers and Myers 1995). In this paper, an analysis of verbalization data from a translation process study is discussed in order to demonstrate the influence of intuition on decision-making during the translation process and to explore the implications of this influence. Recent studies have found that intuition plays a role in learning and decision-making tasks involving affect (Laborde et al. 2010: 786). Intuition is therefore here viewed as a potentially vital component of translator behavior which could predict individuals' translating effectiveness. © John Benjamins Publishing Company.

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Xerox Customer Engagement activity is informed by the "Go To Market" strategy, and "Intelligent Coverage" sales philosophy. The realisation of this philosophy necessitates a sophisticated level of Market Understanding, and the effective integration of the direct channels of Customer Engagement. Sophisticated Market Understanding requires the mapping and coding of the entire UK market at the DMU (Decision Making Unit) level, which in turn enables the creation of tailored coverage prescriptions. Effective Channel Integration is made possible by the organisation of Customer Engagement work according to a single, process defined structure: the Selling Process. Organising by process facilitates the discipline of Task Substitution, which leads logically to creation of Hybrid Selling models. Productive Customer Engagement requires Selling Process specialisation by industry sector, customer segment and product group. The research shows that Xerox's Market Database (MDB) plays a central role in delivering the Go To Market strategic aims. It is a tool for knowledge based selling, enables productive SFA (Sales Force Automation) and, in sum, is critical to the efficient and effective deployment of Customer Engagement resources. Intelligent Coverage is not possible without the MDB. Analysis of the case evidence has resulted in the definition of 60 idiographic statements. These statements are about how Xerox organise and manage three direct channels of Customer Engagement: Face to Face, Telebusiness and Ebusiness. Xerox is shown to employ a process-oriented, IT-enabled, holistic approach to Customer Engagement productivity. The significance of the research is that it represents a detailed (perhaps unequalled) level of rich description of the interplay between IT and a holistic, process-oriented management philosophy.

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Purpose: To determine whether curve-fitting analysis of the ranked segment distributions of topographic optic nerve head (ONH) parameters, derived using the Heidelberg Retina Tomograph (HRT), provide a more effective statistical descriptor to differentiate the normal from the glaucomatous ONH. Methods: The sample comprised of 22 normal control subjects (mean age 66.9 years; S.D. 7.8) and 22 glaucoma patients (mean age 72.1 years; S.D. 6.9) confirmed by reproducible visual field defects on the Humphrey Field Analyser. Three 10°-images of the ONH were obtained using the HRT. The mean topography image was determined and the HRT software was used to calculate the rim volume, rim area to disc area ratio, normalised rim area to disc area ratio and retinal nerve fibre cross-sectional area for each patient at 10°-sectoral intervals. The values were ranked in descending order, and each ranked-segment curve of ordered values was fitted using the least squares method. Results: There was no difference in disc area between the groups. The group mean cup-disc area ratio was significantly lower in the normal group (0.204 ± 0.16) compared with the glaucoma group (0.533 ± 0.083) (p < 0.001). The visual field indices, mean deviation and corrected pattern S.D., were significantly greater (p < 0.001) in the glaucoma group (-9.09 dB ± 3.3 and 7.91 ± 3.4, respectively) compared with the normal group (-0.15 dB ± 0.9 and 0.95 dB ± 0.8, respectively). Univariate linear regression provided the best overall fit to the ranked segment data. The equation parameters of the regression line manually applied to the normalised rim area-disc area and the rim area-disc area ratio data, correctly classified 100% of normal subjects and glaucoma patients. In this study sample, the regression analysis of ranked segment parameters method was more effective than conventional ranked segment analysis, in which glaucoma patients were misclassified in approximately 50% of cases. Further investigation in larger samples will enable the calculation of confidence intervals for normality. These reference standards will then need to be investigated for an independent sample to fully validate the technique. Conclusions: Using a curve-fitting approach to fit ranked segment curves retains information relating to the topographic nature of neural loss. Such methodology appears to overcome some of the deficiencies of conventional ranked segment analysis, and subject to validation in larger scale studies, may potentially be of clinical utility for detecting and monitoring glaucomatous damage. © 2007 The College of Optometrists.

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We propose a new approach to the generation of an alphabet for secret key exchange relying on small variations in the cavity length of an ultra-long fiber laser. This new concept is supported by experimental results showing how the radio-frequency spectrum of the laser can be exploited as a carrier to exchange information. The test bench for our proof of principle is a 50 km-long fiber laser linking two users, Alice and Bob, where each user can randomly add an extra 1 km-long segment of fiber. The choice of laser length is driven by two independent random binary values, which makes such length become itself a random variable. The security of key exchange is ensured whenever the two independent random choices lead to the same laser length and, hence, to the same free spectral range.

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DNA-binding proteins are crucial for various cellular processes and hence have become an important target for both basic research and drug development. With the avalanche of protein sequences generated in the postgenomic age, it is highly desired to establish an automated method for rapidly and accurately identifying DNA-binding proteins based on their sequence information alone. Owing to the fact that all biological species have developed beginning from a very limited number of ancestral species, it is important to take into account the evolutionary information in developing such a high-throughput tool. In view of this, a new predictor was proposed by incorporating the evolutionary information into the general form of pseudo amino acid composition via the top-n-gram approach. It was observed by comparing the new predictor with the existing methods via both jackknife test and independent data-set test that the new predictor outperformed its counterparts. It is anticipated that the new predictor may become a useful vehicle for identifying DNA-binding proteins. It has not escaped our notice that the novel approach to extract evolutionary information into the formulation of statistical samples can be used to identify many other protein attributes as well.

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A segment selection method controlled by Quality of Experience (QoE) factors for Dynamic Adaptive Streaming over HTTP (DASH) is presented in this paper. Current rate adaption algorithms aim to eliminate buffer underrun events by significantly reducing the code rate when experiencing pauses in replay. In reality, however, viewers may choose to accept a level of buffer underrun in order to achieve an improved level of picture fidelity or to accept the degradation in picture fidelity in order to maintain the service continuity. The proposed rate adaption scheme in our work can maximize the user QoE in terms of both continuity and fidelity (picture quality) in DASH applications. It is shown that using this scheme a high level of quality for streaming services, especially at low packet loss rates, can be achieved. Our scheme can also maintain a best trade-off between continuity-based quality and fidelity-based quality, by determining proper threshold values for the level of quality intended by clients with different quality requirements. In addition, the integration of the rate adaptation mechanism with the scheduling process is investigated in the context of a mobile communication network and related performances are analyzed.