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Institution

University of Münster

EducationMünster, Germany
About: University of Münster is a education organization based out in Münster, Germany. It is known for research contribution in the topics: Population & Catalysis. The organization has 35609 authors who have published 69059 publications receiving 2278534 citations. The organization is also known as: University of Munster & University of Muenster.


Papers
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Proceedings Article
01 Jun 2011
TL;DR: A pragmatic, yet well-founded framework of general design principles justified by existing literature and grouped according to typical purposes of use is demonstrated using an exemplary set of maturity models related to business process management.
Abstract: Since the Software Engineering Institute has launched the Capability Maturity Model almost twenty years ago, hundreds of maturity models have been proposed by researchers and practitioners across multiple application domains. With process orientation being a central paradigm of organizational design and continuous process improvement taking top positions on CIO agendas, maturity models are also prospering in business process management. Although the application of maturity models is increasing in quantity and breadth, the concept of maturity models is frequently subject to criticism. Indeed, numerous shortcomings have been disclosed referring to both maturity models as design products and the process of maturity model design. Whereas research has already substantiated the design process, there is no holistic understanding of the principles of form and function – that is, the design principles – maturity models should meet. We therefore propose a pragmatic, yet well-founded framework of general design principles justified by existing literature and grouped according to typical purposes of use. The framework is demonstrated using an exemplary set of maturity models related to business process management. We finally give a brief outlook on implications and topics for further research.

316 citations

Journal ArticleDOI
TL;DR: The results state the probability of a lumbar vertebra encountering a fatigue fracture in relation to the magnitude of the cyclic load and the number of load cycles and it is shown that the ultimate compressive strength of a vertebra can be predicted with an error of less than 1 kN on the basis of bone density and endplate area.

315 citations

Journal ArticleDOI
TL;DR: Two multiplex PCR enzyme immunoassays (PCR-EIAs) were developed for Staphylococcus aureus exotoxin gene screening as an alternative to the conventional biological assays, which depend on detectable amounts of toxins produced.
Abstract: Two multiplex PCR enzyme immunoassays (PCR-EIAs) were developed for Staphylococcus aureus exotoxin gene screening as an alternative to the conventional biological assays, which depend on detectable amounts of toxins produced. One set of oligonucleotide primers and probes was designed to search for enterotoxin A to E genes (entA, entB, entC, entD, and entE), and the other one was designed to detect the staphylococcal exfoliative toxin genes (eta and etb) and the toxic shock syndrome toxin 1 gene (tst). Oligonucleotide primers were used as published previously, modified or newly developed to meet the requirements of both good size-distinguishable amplification bands of multiplex PCR and the temperature limit of the uracil DNA glycosylase system for carryover protection. Amplification products were visualized by agarose gel electrophoresis, and specificity was controlled with the aid of a DNA EIA system using oligonucleotide probes derived from the sequences of the S. aureus toxin genes. PCR procedures were performed by using template nucleic acids extracted from a panel of S. aureus reference strains and from a collection of 50 clinical strains. The PCR results were compared with those of immunological toxin production assays. This multiplex PCR-EIA system offers an alternative method for the rapid, sensitive, specific, and simultaneous detection of the clinically important exotoxin potency of isolated S. aureus strains for diagnostic purposes as well as research studies.

314 citations

Journal ArticleDOI
TL;DR: Subsystem density functional theory (subsystem DFT) as mentioned in this paper is a powerful alternative to Kohn-Sham DFT for quantum chemical calculations of complex systems, which exploits the idea of representing the total electron density as a sum of subsystem densities.
Abstract: Subsystem density-functional theory (subsystem DFT) has developed into a powerful alternative to Kohn–Sham DFT for quantum chemical calculations of complex systems. It exploits the idea of representing the total electron density as a sum of subsystem densities. The optimum total density is found by minimizing the total energy with respect to each of the subsystem densities, which breaks down the electronic-structure problem into effective subsystem problems. This enables calculations on large molecular aggregates and even (bio-)polymers without system-specific parameterizations. We provide a concise review of the underlying theory, typical approximations, and embedding approaches related to subsystem DFT such as frozen-density embedding (FDE). Moreover, we discuss extensions and applications of subsystem DFT and FDE to molecular property calculations, excited states, and wave function in DFT embedding methods. Furthermore, we outline recent developments for reconstruction techniques of embedding potentials arising in subsystem DFT, and for using subsystem DFT to incorporate constraints into DFT calculations. For further resources related to this article, please visit the WIREs website.

314 citations

Journal ArticleDOI
TL;DR: It is demonstrated that engineered nanoparticles interfere with classic cytotoxicity assays in a highly concentration-, particle- and assay-specific manner, and strongly suggest that each in vitro test system has to be evaluated for each single nanoparticle type to accurately assess the nanoparticle toxicity.
Abstract: Accurate in vitro assessment of nanoparticle cytotoxicity requires a careful selection of the test systems. Due to high adsorption capacity and optical activity, engineered nanoparticles are highly potential in influencing classical cytotoxicity assays. Here, four common in vitro assays for oxidative stress, cell viability, cell death and inflammatory cytokine production (DCF, MTT, LDH and IL-8 ELISA) were assessed for validity using 24 well-characterized engineered nanoparticles. For all nanoparticles, the possible interference with the optical detection methods, the ability to convert the substrates, the influence on enzymatic activity and the potential to bind proinflammatory cytokines were analyzed in detail. Results varied considerably depending on the assay system used. All nanoparticles tested were found to interfere with the optical measurement at concentrations of 50 μg cm−2 and above when DCF, MTT and LDH assays were performed. Except for Carbon Black, particle interference could be prevented by altering assay protocols and lowering particle concentrations to 10 μg cm−2. Carbon Black was also found to oxidize H2DCF-DA in a cell-free system, whereas only ZnO nanoparticles significantly decreased LDH activity. A dramatic loss of immunoreactive IL-8 was observed for only one of the three TiO2 particle types tested. Our results demonstrate that engineered nanoparticles interfere with classic cytotoxicity assays in a highly concentration-, particle- and assay-specific manner. These findings strongly suggest that each in vitro test system has to be evaluated for each single nanoparticle type to accurately assess the nanoparticle toxicity.

314 citations


Authors

Showing all 36075 results

NameH-indexPapersCitations
Hyun-Chul Kim1764076183227
Klaus Müllen1642125140748
Giacomo Bruno1581687124368
Anders M. Dale156823133891
Holger J. Schünemann141810113169
Joachim Heinrich136130976887
Markus Merschmeyer132118884975
Klaus Ley12949557964
Robert W. Mahley12836360774
Robert J. Kurman12739760277
Bart Barlogie12677957803
Thomas Schwarz12370154560
Carlos Caldas12254773840
Klaus Weber12152460346
Andrey L. Rogach11757646820
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023253
2022831
20213,683
20203,499
20193,236
20182,918