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Focusing on the product per se and its downstream and upstream knowledge evolution complex system, ontology engineering adopts herein a process-driven view for capturing a continuously changing environment.
In this paper, we first propose a relational network data envelopment analysis (DEA) model for measuring the innovation efficiency of the NIS by decomposing the innovation process into a network with a two-stage innovation production framework, an upstream knowledge production process (KPP) and a downstream knowledge commercialization process (KCP).
The evaluation function is not delivering consistent contributions to upstream knowledge management.
Social Policy Programme As part of its transition to a more upstream, knowledge and policy-oriented platform of work, UNICEF Sri Lanka will increasingly work to strengthen policies that assist and empower the most vulnerable and disadvantaged children.
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Findings from surveys and interviews with 355 firms participating in the 18 ERCs established between 1985 and 1990 indicate that firms participate primarily to gain access to upstream modes of knowledge rather than specific products and processes.
Rather, there have been and will continue to be upstream effects on codifying knowledge that are influenced by those who develop clinical decision support and quality measurement protocols.
Although the effects of Mg-deficiency on Citrus CO2 assimilation, photosynthetic electron transport and antioxidant system, carbohydrates and organic acid metabolism have been investigated by a few researchers [ 5, 6, 8], the knowledge of upstream targets is scarce.
Although the physiological targets upon Mg-deficiency have been reported by many workers in various plants [ 1, 4], the knowledge of upstream molecular targets is very limited until recently.
Having a larger collection of EST-validated poly(A) sites and a better knowledge of upstream and downstream regions discriminating true poly(A) sites from random AWUAAA hexamers, we asked whether this could be exploited to further improve poly(A) site detection.
Without knowledge of the upstream value chain it is not possible for businesses to evaluate supply risk or to create meaningful plans to mitigate it.
In addition, the results show that semi-infinite channel models based on the knowledge of the upstream stage-hydrograph can predict flow depths better than those making use of a flow hydrograph, while being practically equivalent in predicting flow rates.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com