scispace - formally typeset
Search or ask a question
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
More filters
Journal ArticleDOI
TL;DR: It is found that the commonly used Celex frequencies are the least powerful to predict lexical decision times in the German language.
Abstract: We review recent evidence indicating that researchers in experimental psychology may have used suboptimal estimates of word frequency. Word frequency measures should be based on a corpus of at least 20 million words that contains language participants in psychology experiments are likely to have been exposed to. In addition, the quality of word frequency measures should be ascertained by correlating them with behavioral word processing data. When we apply these criteria to the word frequency measures available for the German language, we find that the commonly used Celex frequencies are the least powerful to predict lexical decision times. Better results are obtained with the Leipzig frequencies, the dlexDB frequencies, and the Google Books 2000-2009 frequencies. However, as in other languages the best performance is observed with subtitle-based word frequencies. The SUBTLEX-DE word frequencies collected for the present ms are made available in easy-to-use files and are free for educational purposes.

328 citations

Journal ArticleDOI
TL;DR: An ever‐increasing body of information suggests that S 100A9 plays a prominent role in leukocyte trafficking and arachidonic acid metabolism, and elevated levels of S100A9 and S100 a8 in body fluids of inflamed tissues strengthen the view that these molecules are important players in fighting inflammation.
Abstract: Neutrophils are rapidly recruited to sites of inflammation and are thereby at the forefront of the organism's defense against numerous attacks As unspecific phagocytes, they belong to the so-called innate immunity Two S100 proteins, namely S100A9 (MRP14) and S100A8 (MRP8), constitute roughly 40% of the cytosolic protein in these cells, implying by their pure abundance an important role in the effector functions of neutrophils However, despite intense research in the past 15 years, the puzzle that may embed both molecules into the neutrophil/monocyte physiology is still incomplete One reason might be the conformational variability the S100A9 and S100A8 molecules can adopt They readily form hetero- and homodimeric, trimeric as well as tetrameric complexes, but they evidently do also exert specific functions as monomers An ever-increasing body of information suggests that S100A9 plays a prominent role in leukocyte trafficking and arachidonic acid metabolism In addition, elevated levels of S100A9 and S100A8 in body fluids of inflamed tissues strengthen the view that these molecules are important players in fighting inflammation The aim of this review is to give an update on the current developments concerning the S100A9/S100A8 molecule in biology and medicine

327 citations

Journal ArticleDOI
TL;DR: Despite the high level of evidence for first and second-line treatment in mRCC, data for third-line therapy are limited and possible sequences include TKI-mTOR-TKI or TKI–TKI- mTOR with the upcoming checkpoint inhibitors in perspective, which might settle a new standard of care after previous TKI therapy.
Abstract: Current systemic treatment of targeted therapies, namely the vascular endothelial growth factor-antibody (VEGF-AB), VEGF receptor tyrosine kinase inhibitor (TKI) and mammalian target of rapamycin (mTOR) inhibitors, have improved progression-free survival and replaced non-specific immunotherapy with cytokines in metastatic renal cell carcinoma (mRCC). A panel of experts convened to review currently available phase 3 data for mRCC treatment of approved agents, in addition to available EAU guideline data for a collaborative review as the plurality of substances offers different options of first-, second- and third-line treatment with potential sequencing. Sunitinib and pazopanib are approved treatments in first-line therapy for patients with favorable- or intermediate-risk clear cell RCC (ccRCC). Temsirolimus has proven benefit over interferon-alfa (IFN-α) in patients with non-clear cell RCC (non-ccRCC). In the second-line treatment TKIs or mTOR inhibitors are treatment choices. Therapy options after TKI failure consist of everolimus and axitinib. Available third-line options consist of everolimus and sorafenib. Recently, nivolumab, a programmed death-1 (PD1) checkpoint inhibitor, improved overall survival benefit compared to everolimus after failure of one or two VEGFR-targeted therapies, which is likely to become the first established checkpoint inhibitor in mRCC. Data for the sequencing of agents remain limited. Despite the high level of evidence for first and second-line treatment in mRCC, data for third-line therapy are limited. Possible sequences include TKI-mTOR-TKI or TKI–TKI-mTOR with the upcoming checkpoint inhibitors in perspective, which might settle a new standard of care after previous TKI therapy.

327 citations

Journal ArticleDOI
TL;DR: A direct interconnection between CBL-CIPK-mediated Ca(2+) signaling and ROS signaling in plants is identified and evidence for a synergistic activation of the NADPH oxidase RBOHF is provided by directCa(2+)-binding to its EF-hands and Ca( 2+)-induced phosphorylation by CBL1/9-C IPK26 complexes.

327 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
Network Information
Related Institutions (5)
Ludwig Maximilian University of Munich
161.5K papers, 5.7M citations

96% related

University of Zurich
124K papers, 5.3M citations

96% related

University of Amsterdam
140.8K papers, 5.9M citations

95% related

University of Pittsburgh
201K papers, 9.6M citations

95% related

University of California, Irvine
113.6K papers, 5.5M citations

95% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023253
2022831
20213,683
20203,499
20193,236
20182,918