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Malo, Stéphane; Geuna, Aldo

doi:10.1023/a:1005643127551

Cited by 29 publications

(1 citation statement)

References 36 publications

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“…6,7 To facilitate evidence-based combinatorial therapy, new combinatorial drugs ought to be screened systematically from a library of new or existing compounds using combinatorial screening. 3,8 Conventional microwell-based combinatorial screening platform is resource-demanding and time-consuming. Its large assay volume necessitates a large number of cells, and the generation of chemical combinations in the microwell plate requires complex liquid handling systems and is oen laborious.…”

Section: Introductionmentioning

confidence: 99%

Rapid generation of chemical combinations on a magnetic digital microfluidic array

Zhang

Wang

2019

RSC Adv.

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Section: Introductionmentioning

confidence: 99%

Rapid generation of chemical combinations on a magnetic digital microfluidic array

Zhang

Wang

2019

RSC Adv.

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Measuring and Evaluating Science—Technology Connections and Interactions

Tijssen

2004

Handbook of Quantitative Science and Technology Research

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The Location of Industry R&D and the Location of University R&D: How Are They Related?

Karlsson

Andersson

2009

Advances in Spatial Science

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During the years, a large number of formal studies have presented evidences of a positive impact of university R&D on firm performance in general and on the location of industrial R&D, in particular. The question is does it also work the other way around? Does industrial R&D function as an attractor for university R&D? What are the behavioural relationships between industrial R&D and university R&D and vice versa? The fact that knowledge flows seem to be spatially bounded implies that proximity matters for the relationships between industrial and university R&D. We argue that spatial proximity should be measured using accessibility measures. Furthermore, accessibility measures can be used to model interaction opportunities at different spatial scales: local, intra-regional and interregional. Against this background, the purpose of this paper is to analyse the locational relationship between industry R&D and university R&D in Sweden using a simultaneous equation approach. Our results indicate that the location of industrial R&D is quite sensitive to the location of university R&D, and that the location of university R&D is sensitive to the location of industrial R&D. However, the latter result is achieved only when we take away one outlier in the data.

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Untitled

Cited by 29 publications

References 36 publications

Rapid generation of chemical combinations on a magnetic digital microfluidic array

Rapid generation of chemical combinations on a magnetic digital microfluidic array

Measuring and Evaluating Science—Technology Connections and Interactions

The Location of Industry R&D and the Location of University R&D: How Are They Related?

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