133,194 research outputs found
Letter from Mrs. G. Groen van Prinsterer to Hendrik P. Scholte
No full textMrs. G. Groen van Prinsterer, nee v. d. Hoop, wrote Rev. Hendrik P. Scholte. She said that You know how we regretted the Secession, and now another grievous separation in many ways. She also said that ...the Word is not bound and if the Holy Spirit blesses the preaching it will have the same fruits here as in North America.https://digitalcommons.hope.edu/vrp_1840s/1085/thumbnail.jp
Een beeld van een kust: Inspiratie voor de Kustnota
No full textDe kust als spiegel / Maurits Groen De levende kust / Govert D. Geldof Integraal beleid : te kust en te keur? / Gerrit Hagelstein en Philip Idenburg De nieuwe kusten van Noordzee en IJsselmeer / Wouter van Dieren De kust als menselijke gradiënt / Reinier Jan Scheele Duinen in een levende kust / Helias Udo de Haas Het verlangen naar de kust : de kust als toeristisch-recreatief domein / Theo Beckers De kust over 25 jaar : een normatief gezichtspunt / Karel Soudijn Een beeld van kust / Anne van der Meidenkustnot
Cognitive and linguistic factors in writing development
No full textContains fulltext :
Proefschrift_DrijboomsE.pdf (Publisher’s version ) (Open Access)RU Radboud Universiteit, 25 mei 2016Promotores : Verhoeven, L.T.W., Alamargot, D. Co-promotores : Groen, M.A., Leijten, M.202 p
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Lespakket groenbemesters
No full textLesmateriaal dat opgenomen is in het Groen Kennisnet dossier Groenbemesters (WURKS-project). Er zijn casussen (verwerkingsopdrachten) gemaakt over bodemkwaliteit voor diverse grondsoorten (klei, zand) en sectoren (akkerbouw, melkveehouderij, gemengd) die voor zowel MBO- als HBO geschikt zijn. De casussen zijn als zodanig te gebruiken, maar kunnen ook ideeën geven voor het maken van eigen opdrachten
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Lespakket groenbemesters
No full textLesmateriaal dat opgenomen is in het Groen Kennisnet dossier Groenbemesters (WURKS-project). Er zijn casussen (verwerkingsopdrachten) gemaakt over bodemkwaliteit voor diverse grondsoorten (klei, zand) en sectoren (akkerbouw, melkveehouderij, gemengd) die voor zowel MBO- als HBO geschikt zijn. De casussen zijn als zodanig te gebruiken, maar kunnen ook ideeën geven voor het maken van eigen opdrachten
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
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