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These can be readily modified to include additional keyword constraints to further focus searches.
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For robustness, the keyword search constraints were relaxed using broad queries for a subset of journals (e.g., American Economic Review, Applied Economics, Economic Development Quarterly, Higher Education, Industry and Innovation, Journal of Technology Transfer, R&D Management, Research Policy, Review of Economics and Statistics, Science and Public Policy, Technovation and Urban Studies).
P atterns are rules combining keywords with extra constraints.
Learn about keywords.
Third, we conducted a keyword search using the aforementioned constraints, employing EBSCO and JSTOR databases as well as the Social Science Research Network.
To address this issue, DCL 2.0 proposes a new type of constraint represented by requires keyword.
To produce more relevant answers to a query than the previous approaches, we suggest a new answer tree structure which has no constraint on the number of keyword nodes chosen for each keyword in the query.
You can sometimes bypass the violation and still enable the constraint by using the "novalidate" keyword like in the following example.
The number of keywords included in a query is a good parameter to handle these constraints.
Due to time and resource constraints, keywords beyond these MeSH terms were not applied.
Keyword NHL Roundup.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com