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Institution

Johannes Kepler University of Linz

EducationLinz, Oberösterreich, Austria
About: Johannes Kepler University of Linz is a education organization based out in Linz, Oberösterreich, Austria. It is known for research contribution in the topics: Computer science & Thin film. The organization has 6605 authors who have published 19243 publications receiving 385667 citations.


Papers
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Journal ArticleDOI
TL;DR: The requirement that methodologies for CPS-design should be part of a multi-disciplinary development process within which designers should focus not only on the separate physical and computational components, but also on their integration and interaction is considered.

208 citations

Journal ArticleDOI
TL;DR: In this paper, a systematic literature review of management accounting in SMEs is presented, which explains how environmental, staff, and organizational factors significantly influence the organization of SMEs and that SME performance in general benefits from proper management accounting.
Abstract: Management accounting in small and medium-sized enterprises (SMEs) has been an issue of growing interest in the management accounting literature in recent years. However, published research is fragmented, spanning various fields such as accounting, small business and entrepreneurship, general management, and production and operations management. This paper aims to synthesize extant knowledge on management accounting in SMEs and provide concrete suggestions on how to proceed. We performed a systematic literature review, synthesized the results, and identified research gaps. Our findings show that usage of management accounting is not only lower but also different in SMEs compared to larger entities. Based on a comparison of SMEs, the review explains how environmental, staff, and organizational factors significantly influence the organization of management accounting in SMEs and that SME performance in general benefits from proper management accounting. We conclude with several concrete research q...

207 citations

Journal ArticleDOI
TL;DR: An evaluation metric for generative models called Fréchet ChemNet distance (FCD) is proposed that can detect whether generated molecules are diverse and have similar chemical and biological properties as real molecules.
Abstract: The new wave of successful generative models in machine learning has increased the interest in deep learning driven de novo drug design. However, method comparison is difficult because of various flaws of the currently employed evaluation metrics. We propose an evaluation metric for generative models called Frechet ChemNet distance (FCD). The advantage of the FCD over previous metrics is that it can detect whether generated molecules are diverse and have similar chemical and biological properties as real molecules.

207 citations

Journal ArticleDOI
TL;DR: In this article, a systematic literature review of available research evidence on risk management in small and medium-sized enterprises (SMEs) is presented, which aims to reveal ambiguities, gaps and contradictions in the literature, and to sketch avenues for further research.
Abstract: Purpose – The purpose of this paper is to provide a systematic literature review of available research evidence on risk management in small and medium-sized enterprises (SMEs). The authors aim to reveal ambiguities, gaps and contradictions in the literature, and to sketch avenues for further research. Design/methodology/approach – The authors follow the tenets of Tranfield et al. (2003) for conducting a systematic literature review. Following a key word search and an assessment of fit for this review, 27 papers were analyzed with respect to bibliographical information, research design and findings. Findings – The review identified various types of risks that may occur in SMEs. In addition, the publication analysis demonstrates the importance of a risk management process in SMEs and that the characteristics of SME owners have a significant impact on their business strategies. Research limitations/implications – Additional empirical research on risk identification, risk analysis, strategy implementation and...

206 citations

Journal ArticleDOI
TL;DR: In this paper, an apparatus is presented which enables the application of defined portions of mechanical work to the polymer sample in its state of undercooled melt, for the purpose mainly intermittent shear creep is used.
Abstract: An apparatus is presented which enables the application of defined portions of mechanical work to the polymer sample in its state of undercooled melt. For the purpose mainly intermittent shear creep is used. Results are presented for an industrial grade of polypropylene. A three-dimensional picture is presented, in which the resulting numbers of nuclei (per unit volume) are plotted against two responsible parameters: crystallization temperature and mechanical work. With decreasing temperature and with increasing mechanical work the number of nuclei increases by many decades. At sufficiently high mechanical loads a transition to thread-like precursors ("shishs") has been observed previously. Oriented structures (kind of "shish-kebabs") are formed in this way. The periods of shearing applied have always been extremely short compared with the time until crystallization becomes observable. In this way an accumulation of various processes could be avoided. The description of shear induced crystallization, as previously given, is modified in the light of the present results.

205 citations


Authors

Showing all 6718 results

NameH-indexPapersCitations
Wolfgang Wagner1562342123391
A. Paul Alivisatos146470101741
Klaus-Robert Müller12976479391
Christoph J. Brabec12089668188
Andreas Heinz108107845002
Niyazi Serdar Sariciftci9959154055
Lars Samuelson9685036931
Peter J. Oefner9034830729
Dmitri V. Talapin9030339572
Tomás Torres8862528223
Ramesh Raskar8667030675
Siegfried Bauer8442226759
Alexander Eychmüller8244423688
Friedrich Schneider8255427383
Maksym V. Kovalenko8136034805
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20242
202354
2022187
20211,404
20201,412
20191,365