73,114 research outputs found

    Robust classification with context-sensitive features

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    This paper addresses the problem of classifying observations when features are context-sensitive, especially when the testing set involves a context that is different from the training set. The paper begins with a precise definition of the problem, then general strategies are presented for enhancing the performance of classification algorithms on this type of problem. These strategies are tested on three domains. The first domain is the diagnosis of gas turbine engines. The problem is to diagnose a faulty engine in one context, such as warm weather, when the fault has previously been seen only in another context, such as cold weather. The second domain is speech recognition. The context is given by the identity of the speaker. The problem is to recognize words spoken by a new speaker, not represented in the training set. The third domain is medical prognosis. The problem is to predict whether a patient with hepatitis will live or die. The context is the age of the patient. For all three domains, exploiting context results in substantially more accurate classification

    Construction procurement systems : a linkage with project organisational models

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    This paper constitutes a literature review undertaken at the start of a two and a half year EPSRC funded research project. As such, its purpose is to present the details of the ‘re-search’concerning construction procurement and project organizational design. The paper shows that the ‘post -Latham’construction industry provides several new developments (client power, partnering, concurrent engineering etc) which are altering the construction project process, and therefore prove worthy vehicles for investigation into project organizational structures

    Research and Education in Computational Science and Engineering

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    Over the past two decades the field of computational science and engineering (CSE) has penetrated both basic and applied research in academia, industry, and laboratories to advance discovery, optimize systems, support decision-makers, and educate the scientific and engineering workforce. Informed by centuries of theory and experiment, CSE performs computational experiments to answer questions that neither theory nor experiment alone is equipped to answer. CSE provides scientists and engineers of all persuasions with algorithmic inventions and software systems that transcend disciplines and scales. Carried on a wave of digital technology, CSE brings the power of parallelism to bear on troves of data. Mathematics-based advanced computing has become a prevalent means of discovery and innovation in essentially all areas of science, engineering, technology, and society; and the CSE community is at the core of this transformation. However, a combination of disruptive developments---including the architectural complexity of extreme-scale computing, the data revolution that engulfs the planet, and the specialization required to follow the applications to new frontiers---is redefining the scope and reach of the CSE endeavor. This report describes the rapid expansion of CSE and the challenges to sustaining its bold advances. The report also presents strategies and directions for CSE research and education for the next decade.Comment: Major revision, to appear in SIAM Revie

    Measuring the Knowledge-Based Economy of China in terms of Synergy among Technological, Organizational, and Geographic Attributes of Firms

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    Using the possible synergy among geographic, size, and technological distributions of firms in the Orbis database, we find the greatest reduction of uncertainty at the level of the 31 provinces of China, and an additional 18.0% at the national level. Some of the coastal provinces stand out as expected, but the metropolitan areas of Beijing and Shanghai are (with Tianjan and Chonqing) most pronounced at the next-lower administrative level of (339) prefectures, since these four metropoles are administratively defined at both levels. Focusing on high- and medium-tech manufacturing, a shift toward Beijing and Shanghai is indicated, and the synergy is on average enhanced (as expected; but not for all provinces). Unfortunately, the Orbis data is incomplete since it was collected for commercial and not for administrative or governmental purposes. However, we show a methodology that can be used by others who may have access to higher-quality statistical data for the measurement.Comment: accepted for publication in Scientometrics (October, 2013

    Internationalisation and Equality and Diversity in Higher Education: Merging Identities

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    Summary This project arises out of Eade and Peacock’s (2009) scoping report, commissioned by Equality Challenge Unit (ECU) entitled Internationalising equality and equalising internationalisation: The intersection between internationalisation and Equality and Diversity in higher education. The principal aim of the current study is to identify the advantages of building on the intersection of Internationalisation and E and D agendas, through an exploration of the effective mechanisms for linking E and D and internationalisation policies, structures and activities within a small sample of heterogenous HE institutions located in Australia, England and Wales. Reflecting a multi-level and mixed-method approach this report provides an in-depth account of awareness, commitment, understanding and involvement of domestic and international staff and students, and other key players, in Internationalisation and Equality and Diversity. This account is supported by examples of good practice and synergy and consideration of areas of potential improvement in the two fields. The mixed-method approach involves desk research to consider the influence of geographical location, profile and size on rationales for internationalisation and commitment to Equality and Diversity, complemented by interviews of key personnel to provide insights regarding performance, accessibility etc. Data regarding staff and student awareness, perceptions and dispositions is captured via online survey and focus groups. Finally a review of the literature supports data interpretation by suggesting emergent key themes. Institutional challenges are identified within the context of what may be learned from other organisational forms. A central focus is the student learning experience, with discussions embracing key issues such as competing perspectives on learner support models, the association between inclusive curricula and multicultural education and attendant barriers and tensions. Extensive and systematic analysis of institutional policy in Internationalisation and Equality and Diversity within specific local contexts provides substantial evidence of how current and future direction is shaped by the socio-economic and cultural make-up of surrounding communities, tempered by institutional aspirations in the global arena. The insights of senior managers provide the personal accounts and deep insights into the ongoing strategic initiatives and perceived challenges which determine the practice which emerges from the rhetoric of policy statements. The in-depth exploration of awareness, perceptions and dispositions of staff and students serves to highlight a striking continuity of perspective across the range of stakeholders, within different institutions which approach Internationalisation and Equality and Diversity from widely contrasting positions vis-à-vis locality, status, market position and relative size. Seemingly, any shortcomings of policy to practice transfer are not the outcome of a lack of will on the part of those who have engaged in this research, but rather reflect the complexity of finding the most appropriate way, whether senior manager, teacher, support and development professional, student or other stakeholder. The challenges of internationalisation and Equality and Diversity simply manifest themselves in different ways at different levels within different institutional contexts and key messages from this research include for example: • The need to manage structural diversity within the framework of a broadly-based business-case approach in order to maintain internal cohesion and external credibility. Such an approach should acknowledge diversity of mission which derives from the nature of the global-local interface, profile, status etc. • Broad awareness of the potential synergies between Internationalisation and E and D within a framework of inclusive practice • Broad consensus surrounding the merits of inclusion embodying both local and global dimensions. At this level, diversity of mission, location, status etc. becomes irrelevant. Universities with different cultures can learn much from each other since inclusion should be the response of all institutions recruiting international and/or students from a diversity of cultural, ethnic, religious, socio-economic etc. backgrounds • Awareness of tensions at policy and practice levels, which might be eased by appropriate organisational structures and processes designed specifically to embed synergy across institutions • Acknowledgement of the need to embed the concept of synergy at three levels of diversity: structural (demographic mix); classroom (curriculum and pedagogies) and interactional (informal and social settings) • The significance of readily accessible research-informed and evidence-based practice to raise awareness, build confidence, promote engagement and inform future direction within cross-disciplinary and cross-institutional context

    The effect of host heterogeneity and parasite intragenomic interactions on parasite population structure

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    Understanding the processes that shape the genetic structure of parasite populations and the functional consequences of different parasite genotypes is critical for our ability to predict how an infection can spread through a host population and for the design of effective vaccines to combat infection and disease. Here, we examine how the genetic structure of parasite populations responds to host genetic heterogeneity. We consider the well-characterized molecular specificity of major histocompatibility complex binding of antigenic peptides to derive deterministic and stochastic models. We use these models to ask, firstly, what conditions favour the evolution of generalist parasite genotypes versus specialist parasite genotypes? Secondly, can parasite genotypes coexist in a population? We find that intragenomic interactions between parasite loci encoding antigenic peptides are pivotal in determining the outcome of evolution. Where parasite loci interact synergistically (i.e. the recognition of additional antigenic peptides has a disproportionately large effect on parasite fitness), generalist parasite genotypes are favoured. Where parasite loci act multiplicatively (have independent effects on fitness) or antagonistically (have diminishing effects on parasite fitness), specialist parasite genotypes are favoured. A key finding is that polymorphism is not stable and that, with respect to functionally important antigenic peptides, parasite populations are dominated by a single genotype

    Prevalence and patterns of higher-order drug interactions in Escherichia coli.

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    Interactions and emergent processes are essential for research on complex systems involving many components. Most studies focus solely on pairwise interactions and ignore higher-order interactions among three or more components. To gain deeper insights into higher-order interactions and complex environments, we study antibiotic combinations applied to pathogenic Escherichia coli and obtain unprecedented amounts of detailed data (251 two-drug combinations, 1512 three-drug combinations, 5670 four-drug combinations, and 13608 five-drug combinations). Directly opposite to previous assumptions and reports, we find higher-order interactions increase in frequency with the number of drugs in the bacteria's environment. Specifically, as more drugs are added, we observe an elevated frequency of net synergy (effect greater than expected based on independent individual effects) and also increased instances of emergent antagonism (effect less than expected based on lower-order interaction effects). These findings have implications for the potential efficacy of drug combinations and are crucial for better navigating problems associated with the combinatorial complexity of multi-component systems

    Regions, Innovation Systems, and the North-South Divide in Italy

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    Using firm-level data collected by Statistics Italy for 2008, 2011, and 2015, we examine the Triple-Helix synergy among geographical and size distributions of firms, and the NACE codes attributed to these firms, at the different levels of regional and national government. At which levels is innovation-systemness indicated? The contributions of regions to the Italian innovation system have increased, but synergy generation between regions and supra-regionally has remained at almost 45%. As against the statistical classification of Italy into twenty regions or into Northern, Central, and Southern Italy, the greatest synergy is retrieved by considering the country in terms of Northern and Southern Italy as two sub-systems, with Tuscany included as part of Northern Italy. We suggest that separate innovation strategies should be developed for these two parts of the country. The current focus on regions for innovation policies may to some extent be an artifact of the statistics and EU policies. In terms of sectors, both medium- and high-tech manufacturing (MHTM) and knowledge-intensive services (KIS) are proportionally integrated in the various regions
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