373 resultados para Barnard
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All from the U.P. (Ironwood) so did not go home - left to right Hjalmen Flink (English), Harry Bay (Law), S. Bargquist (later prof at MSU), M. Mickelson (U.S. Forestry), and A.B. Johnson "The jug contains cider"
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All from the U.P. (Ironwood) so did not go home - left to right Hjalmen Flink (English), Harry Bay (Law), S. Bargquist (later prof at MSU), M. Mickelson (U.S. Forestry), and A.B. Johnson "The jug contains cider"
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Cover title: Character and services of James Madison, by Daniel D. Barnard.
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Mode of access: Internet.
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An argument against socialism and nationalization.
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Editors: May 1885-June 1908, Aaron Gove (with N. B. Coy, Jan. 1894- Sept. 1895 ; N. B. Coy, H. M. Barrett, Oct. 1895-June 1897 ; H. M. Barrett, Sept. 1897-Oct. 1905 ; D. R. Hatch, Nov. 1905-June 1908)--Sept. 1908-June 1922, D. R. Hatch. --Sept. 1922-Feb. 1926, H. B. Smith ; Mar. 1926- W. B. Mooney.
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Mode of access: Internet.
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From Barnard's Journal of education, March, 1856.
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Xerox reprint, 1965, by Univ. Microfilms.
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Orofacial granulomatosis (OFG) is a condition of unknown aetiology with histological and, in some cases, clinical association with Crohn's disease (CD). However, the exact relationship between OFG and CD remains uncertain. The aim of this study was to determine whether OFG could be distinguished immunologically from CD by comparing non-specific and specific aspects of humoral immunity in serum, whole saliva and parotid saliva in three groups of patients: (a) OFG only (n = 14), (b) those with both oral and gut CD (OFG + CD) (n = 12) and (c) CD without oral involvement (n = 22) and in healthy controls (n = 29). Non-specific immunoglobulin (IgA, SigA, IgA subclasses and IgG) levels and antibodies to whole cells of Saccharomyces cerevisiae, Candida albicans and Streptococcus mutans were assayed by enzyme-linked immunosorbent assay (ELISA) in serum, whole saliva and parotid saliva. Serum IgA and IgA1 and IgA2 subclasses were raised in all patient groups (P < 0.01). Salivary IgA (and IgG) levels were raised in OFG and OFG + CD (P < 0.01) but not in the CD group. Parotid IgA was also raised in OFG and OFG + CD but not in CD. The findings suggest that serum IgA changes reflect mucosal inflammation anywhere in the GI tract but that salivary IgA changes reflect involvement of the oral cavity. Furthermore, the elevated levels of IgA in parotid saliva suggest involvement of the salivary glands in OFG. Serum IgA antibodies to S. cerevisiae were raised markedly in the two groups with gut disease while serum IgA (or IgG) antibodies to C. albicans were elevated significantly in all three patient groups (P < 0.02). No differences were found with antibodies to S. mutans. Whole saliva IgA antibodies to S. cerevisiae (and C. albicans) were raised in the groups with oral involvement. These findings suggest that raised serum IgA antibodies to S. cerevisiae may reflect gut inflammation while raised SIgA antibodies to S. cerevisiae or raised IgA or IgA2 levels in saliva reflect oral but not gut disease. Analysis of salivary IgA and IgA antibodies to S. cerevisiae as well as serum antibodies in patients presenting with OFG may allow prediction of gut involvement.
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The generic pharmaceutical value chain model has been employed to describe both the global pharmaceutical and biotechnology industries till now. This research investigates the organisational value chain in Australian biotechnology companies in order to assess the appropriateness of the pharmaceutical value chain to small-and medium-sized biotechnology companies. The main theme of the research is: Can a generic model of the organisational value chain be defined for the biotechnology industry? Emanating from the literature, two research propositions were developed. RP1: there are eight major definable elements/activities of the organisational value chain for the biotechnology industry. RP2: Coverage of the elements in the biotechnology value chain ranges from focused to broad. A multiple case study methodology was used to explore these propositions. To develop a number of case studies, data was collected from senior managers of small and medium Australian biotechnology companies using an interview instrument, as well as from publicly available documentation and through observation. The results were analysed using cross-case comparisons. The results showed that an aggregation of the value chains of each organisation can be reduced to these eight definable elements that constitute the biotechnology value chain: basic research, applied research, development, verification and validation, prototype development, clinical trials, manufacturing and marketing. However, the findings also indicate that these major elements of the value chain need to be further reduced into sub-activities or sub-tasks to cater for the unique differences between biotechnology companies. Generally, the findings were consistent with the literature. However, a wider sampling, including international biotechnology organisations should be studied. The major contribution of this research is in the development of a value chain model, including general sub-tasks, for the Australian biotechnology industry.
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'Free will' and its corollary, the concept of individual responsibility are keystones of the justice system. This paper shows that if we accept a physics that disallows time reversal, the concept of 'free will' is undermined by an integrated understanding of the influence of genetics and environment on human behavioural responses. Analysis is undertaken by modelling life as a novel statistico-deterministic version of a Turing machine, i.e. as a series of transitions between states at successive instants of time. Using this model it is proven by induction that the entire course of life is independent of the action of free will. Although determined by prior state, the probability of transitions between states in response to a standard environmental stimulus is not equal to 1 and the transitions may differ quantitatively at the molecular level and qualitatively at the level of the whole organism. Transitions between states correspond to behaviours. It is shown that the behaviour of identical twins (or clones), although determined, would be incompletely predictable and non-identical, creating an illusion of the operation of 'free will'. 'Free will' is a convenient construct for current judicial systems and social control because it allows rationalization of punishment for those whose behaviour falls outside socially defined norms. Indeed, it is conceivable that maintenance of ideas of free will has co-evolved with community morality to reinforce its operation. If the concept is free will is to be maintained it would require revision of our current physical theories.
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A firm's competitive strategy and innovation processes are strongly influenced by, and must be responsive to, its competitive environment. This is nowhere more strongly evident than in the high technology industries. In the present work, case studies of biotechnology new ventures are presented. These studies illustrate how an initial market entry strategy of parallel competition (through creative imitation) has enabled several biotechnology start-ups to reduce their mortality risk. We coin the term ''parallel bridge'' to describe this strategy. The parallel bridge provides early cash flows which support research and development and provide time for new ventures to develop core competencies, including a capacity to produce second and third horizon products that will sustain longer term competitiveness.
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Background There is a substantial discrepancy between in vitro and in vivo experiments. The purpose of the present work was development of a theoretical framework to enable improved prediction of in vivo response from in vitro bioassay results. Results For dose-response curve reaches a plateau in vitro we demonstrated that the in vivo response has only one maximum. For biphasic patterns of biological response in vitro both the bimodal and biphasic in vivo responses might be observed. Conclusion As the main result of this work we have demonstrated that in vivo responses might be predicted from dose-effect curves measured in vitro.