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Institution

University of Bremen

EducationBremen, Germany
About: University of Bremen is a education organization based out in Bremen, Germany. It is known for research contribution in the topics: Population & Context (language use). The organization has 14563 authors who have published 37279 publications receiving 970381 citations. The organization is also known as: Universität Bremen.


Papers
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Journal ArticleDOI
TL;DR: The active phase of labor may not start until 5 cm of cervical dilation in multiparas and even later in nulliparas, and a graduated approach based on levels of cervicaldilation to diagnose labor protraction and arrest is proposed.

198 citations

Journal ArticleDOI
TL;DR: In this paper, a new interdisziplinare Gebiet der Chemie is introduced, einerseits eng verknupft with den physikalischen and chemischen Eigenschaften of organischen und anorganischen Nanopartikeln and betrifft andererseits die verschiedenen Aspekte molekularer Klonierung, rekombinanter DNA-and Proteintechnologie and der Immunologie.
Abstract: Auf der Basis der klassischen Chemie haben sich die Materialwissenschaften und die Biotechnologie im Laufe der letzten drei Jahrzehnte zu leistungsfahigen Disziplinen entwickelt, die heutzutage hochkomplexe technische Elemente und Wirkstoffe fur pharmazeutische und biomedizinische Anwendungen im industriellen Masstab produzieren. Dieser Aufsatz beleuchtet aktuelle Forschungsaktivitaten im Grenzgebiet zwischen der Materialforschung, den Nanowissenschaften und der molekularen Biotechnologie. Dieses neue interdisziplinare Gebiet der Chemie ist einerseits eng verknupft mit den physikalischen und chemischen Eigenschaften von organischen und anorganischen Nanopartikeln und betrifft andererseits die verschiedenen Aspekte molekularer Klonierung, rekombinanter DNA- und Proteintechnologie und der Immunologie. Evolutionar optimierte Biomolekule, z. B. Nucleinsauren, Proteine und supramolekulare Komplexe aus diesen Komponenten, werden fur den Aufbau nanostrukturierter und mesoskopischer Architekturen aus organischen und anorganischen Materialien genutzt. Die hochentwickelten Instrumente und Verfahren der modernen Materialforschung konnen eingesetzt werden, um fundamentale biologische Prozesse zu untersuchen.

197 citations

Journal ArticleDOI
TL;DR: This paper reported new short-wave infrared (SWIR) column retrievals of atmospheric methane (X_(CH4)) from the Japanese Greenhouse Gases Observing SATellite (GOSAT) and compared observed spatial and temporal variations with correlative ground-based measurements from the Total Carbon Column Observing Network (TCCON) and with the global 3-D GEOS-Chem chemistry transport model.
Abstract: We report new short-wave infrared (SWIR) column retrievals of atmospheric methane (X_(CH4)) from the Japanese Greenhouse Gases Observing SATellite (GOSAT) and compare observed spatial and temporal variations with correlative ground-based measurements from the Total Carbon Column Observing Network (TCCON) and with the global 3-D GEOS-Chem chemistry transport model. GOSAT X_(CH4) retrievals are compared with daily TCCON observations at six sites between April 2009 and July 2010 (Bialystok, Park Falls, Lamont, Orleans, Darwin and Wollongong). GOSAT reproduces the site-dependent seasonal cycles as observed by TCCON with correlations typically between 0.5 and 0.7 with an estimated single-sounding precision between 0.4–0.8%. We find a latitudinal-dependent difference between the X_(CH4) retrievals from GOSAT and TCCON which ranges from 17.9 ppb at the most northerly site (Bialystok) to −14.6 ppb at the site with the lowest latitude (Darwin). We estimate that the mean smoothing error difference included in the GOSAT to TCCON comparisons can account for 15.7 to 17.4 ppb for the northerly sites and for 1.1 ppb at the lowest latitude site. The GOSAT X_(CH4) retrievals agree well with the GEOS-Chem model on annual (August 2009 – July 2010) and monthly timescales, capturing over 80% of the zonal variability. Differences between model and observed X_(CH4) are found over key source regions such as Southeast Asia and central Africa which will be further investigated using a formal inverse model analysis.

197 citations

Journal ArticleDOI
TL;DR: The Laguna Potrok Aike lake in southern Patagonia, Argentina, has been analyzed using a multi-proxy approach as discussed by the authors, which reveals an unprecedented continuous high-resolution climatic record for the steppe regions of southern Argentina and reveals that rapid climate changes before the turn of the first millennium were detected followed by medieval droughts which are intersected by moist and/or cold periods of varying durations and intensities.
Abstract: The volcanogenic lake Laguna Potrok Aike, Santa Cruz, Argentina, reveals an unprecedented continuous high resolution climatic record for the steppe regions of southern Patagonia. With the applied multi-proxy approach rapid climatic changes before the turn of the first millennium were detected followed by medieval droughts which are intersected by moist and/or cold periods of varying durations and intensities. The ‘total inorganic carbon’ content was identified as a sensitive lake level indicator. This proxy suggests that during the late Middle Ages (ca. AD 1230–1410) the lake level was rather low representing a signal of the ‘Medieval Climate Anomaly’ in southeastern Patagonia. At the beginning of the ‘Little Ice Age’ the lake level rose considerably staying on a high level during the whole period. Subsequently, the lake level lowered again in the course of the 20th century.

196 citations

Journal ArticleDOI
TL;DR: In this article, the authors constructed a varve data base (VDB) to study the worldwide distribution of varved sediment records and the fidelity of their varve chronologies.

196 citations


Authors

Showing all 14961 results

NameH-indexPapersCitations
Roger Y. Tsien163441138267
Klaus-Robert Müller12976479391
Ron Kikinis12668463398
Ulrich S. Schubert122222985604
Andreas Richter11076948262
Michael Böhm10875566103
Juan Bisquert10745046267
John P. Sumpter10126646184
Jos Lelieveld10057037657
Michael Schulz10075950719
Peter Singer9470237128
Charles R. Tyler9232531724
John P. Burrows9081536169
Hans-Peter Kriegel8944473932
Harald Haas8575034927
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023343
2022709
20212,106
20202,309
20192,191
20181,965