73 research outputs found

    Baffin Island Expedition, 1950: A Preliminary Report

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    Brief resume by the leader, of the personnel, itinerary, camps, transportation and program of an expedition sponsored by Arctic Institute of North America, Royal Canadian Air Force, Geological Survey of Canada, Swiss Foundation for Alpine Research and the Canadian Geographical Society, to the east coast of Baffin Island at Clyde settlement, May-Aug. 1950; with short "initial reports on progress" of the scientific studies..

    Smooth free involution of HCP3H{\Bbb C}P^3 and Smith conjecture for imbeddings of S3S^3 in S6S^6

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    This paper establishes an equivalence between existence of free involutions on HCP3H{\Bbb C}P^3 and existence of involutions on S6S^6 with fixed point set an imbedded S3S^3, then a family of counterexamples of the Smith conjecture for imbeddings of S3S^3 in S6S^6 are given by known result on HCP3H{\Bbb C}P^3. In addition, this paper also shows that every smooth homotopy complex projective 3-space admits no orientation preserving smooth free involution, which answers an open problem [Pe]. Moreover, the study of existence problem for smooth orientation preserving involutions on HCP3H{\Bbb C}P^3 is completed.Comment: 10 pages, final versio

    Theorising terminology development: Frames from language acquisition and the philosophy of science

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    The manner in which our conceptualisation and practice of terminology development can be informed by processes of knowledge change in child language development and a paradigm shift in disciplines, has been relatively underexplored. As a result, insights into what appears to be fundamental processes of knowledge change have not been employed to reflect on terminology development, its dynamics, requirements and relationship to related fields. In this article, frames of knowledge change in child language development and the philosophy of science are used to examine terminology development as knowledge growth that is signalled lexico-semantically through a range of transformations: addition, deletion, redefinition and reorganisation. The analysis is shown to have implications for work procedures, expertise types, critique, and for the relationships between terminology development and translating

    TRY plant trait database – enhanced coverage and open access

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    Plant traits—the morphological, anatomical, physiological, biochemical and phenological characteristics of plants—determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits—almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives
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