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  • 1
    Monograph available for loan
    Monograph available for loan
    Climate Change 2001 : The scientific basis ; contribution of Working Group I to the third assessment report of the Intergovernmental Panel on Climate Change (2001)
    Cambridge : Cambridge University Press
    Associated volumes
    Details Availability
    Call number: 12/M 01.0453 ; AWI A3-01-0215 ; PIK N 071-01-0481 ; PIK N 071-0115 ; PIK N 071-02-0351 ; PIK N 071-01-0564
    In: Climate change 2001
    Type of Medium: Monograph available for loan
    Pages: X, 881 S.
    Edition: 1st publ.
    ISBN: 0521014956
    Classification:
    Meteorology and Climatology
    Language: English
    Note: Contents: Foreword. - Preface. - Summary for Policymakers. - Technical Summary. - 1 The Climate System: an Overview. - 2 Observed Climate Variability and Change. - 3 The Carbon Cycle and Atmospheric Carbon Dioxide. - 4 Atmospheric Chemistry and Greenhouse Gases. - 5 Aerosols, their Direct and Indirect Effects. - 6 Radiative Forcing of Climate Change. - 7 Physical Climate Processes and Feedbacks. - 8 Model Evaluation. - 9 Projections of Future Climate Change. - 10 Regional Climate Information - Evaluation and Projections. - 11 Changes in Sea Level. - 12 Detection of Climate Change and Attribution of Causes. - 13 Climate Scenario Development. - 14 Advancing Our Understanding. - Appendix I Glossary. - Appendix II SRES Tables. - Appendix Ill Contributors to the IPCC WGI Third Assessment Report. - Appendix IV Reviewers of the IPCC WGI Third Assessment Report. - Appendix V Acronyms and Abbreviations. - Appendix VI Units. - Appendix VII Some Chemical Symbols used in this Report. - Appendix VIII Index.
    Location: Reading room
    Location: Reading room
    Location: A 18 - must be ordered
    Location: A 18 - must be ordered
    Location: A 18 - must be ordered
    Location: A 18 - must be ordered
    Branch Library: GFZ Library
    Branch Library: AWI Library
    Branch Library: PIK Library
    Branch Library: PIK Library
    Branch Library: PIK Library
    Branch Library: PIK Library
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  • 2
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    CNOT6L couples the selective degradation of maternal transcripts to meiotic cell cycle progression in mouse oocyte (2018)
    Springer Nature
    Details
    Publication Date: 2018
    Description: 〈p〉Meiotic resumption-coupled degradation of maternal transcripts occurs during oocyte maturation in the absence of mRNA transcription. The CCR4–NOT complex has been identified as the main eukaryotic mRNA deadenylase. 〈i〉In vivo〈/i〉 functional and mechanistic information regarding its multiple subunits remains insufficient. 〈i〉Cnot6l〈/i〉, one of four genes encoding CCR4–NOT catalytic subunits, is preferentially expressed in mouse oocytes. Genetic deletion of 〈i〉Cnot6l〈/i〉 impaired deadenylation and degradation of a subset of maternal mRNAs during oocyte maturation. Overtranslation of these undegraded mRNAs caused microtubule–chromosome organization defects, which led to activation of spindle assembly checkpoint and meiotic cell cycle arrest at prometaphase. Consequently, 〈i〉Cnot6l〈/i〉〈sup〉–/–〈/sup〉 female mice were severely subfertile. The function of CNOT6L in maturing oocytes is mediated by RNA-binding protein ZFP36L2, not maternal-to-zygotic transition licensing factor BTG4, which interacts with catalytic subunits CNOT7 and CNOT8 of CCR4–NOT. Thus, recruitment of different adaptors by different catalytic subunits ensures stage-specific degradation of maternal mRNAs by CCR4–NOT. This study provides the first direct genetic evidence that CCR4–NOT-dependent and particularly CNOT6L-dependent decay of selective maternal mRNAs is a prerequisite for meiotic maturation of oocytes.〈/p〉
    Print ISSN: 0261-4189
    Electronic ISSN: 1460-2075
    Topics: Biology , Medicine
    Published by Springer Nature on behalf of The European Molecular Biology Organization (EMBO).
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  • 3
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    CNOT6L couples the selective degradation of maternal transcripts to meiotic cell cycle progression in mouse oocyte (2018)
    Springer Nature
    Details
    Publication Date: 2018
    Description: 〈sec〉〈st〉Synopsis〈/st〉〈p〉〈textbox textbox-type="graphic"〉〈p〉〈inline-fig〉〈/inline-fig〉〈/p〉〈/textbox〉〈/p〉 〈p〉Maternal transcripts are degraded during oocyte maturation. A new mouse model demonstrates that 〈i〉Cnot6l〈/i〉, one of four genes encoding catalytic subunits of the mRNA deadenylation complex CCR4–NOT, is preferentially expressed in oocytes and mediates meiosis-coupled maternal mRNA decay.〈/p〉 〈p〉 〈l type="unord"〉〈li〉〈p〉Genetic deletion of 〈i〉Cnot6l〈/i〉 impaired deadenylation and degradation of a subset of maternal mRNAs during mouse oocyte maturation.〈/p〉〈/li〉 〈li〉〈p〉〈i〉Cnot6l〈/i〉-deficient female mice were severely subfertile.〈/p〉〈/li〉 〈li〉〈p〉Aberrant translation of undegraded mRNAs in the 〈i〉Cnot6l〈/i〉 knockout caused microtubule–chromosome organization defects, activation of spindle assembly checkpoint and meiotic cell cycle arrest at prometaphase.〈/p〉〈/li〉 〈li〉〈p〉Recruitment of distinct RNA-binding adaptor proteins by different CCR4–NOT subunits ensures stage-specific degradation of maternal mRNAs.〈/p〉〈/li〉 〈li〉〈p〉CNOT6L and other CCR4–NOT components are important downstream effectors of ERK1 and ERK2 in regulating spindle assembly and meiotic cell cycle progression in oocytes.〈/p〉〈/li〉〈/l〉 〈/p〉〈/sec〉
    Print ISSN: 0261-4189
    Electronic ISSN: 1460-2075
    Topics: Biology , Medicine
    Published by Springer Nature on behalf of The European Molecular Biology Organization (EMBO).
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  • 4
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    Digested sludge-derived three-dimensional hierarchical porous carbon for high-performance supercapacitor electrode (2018)
    Royal Society
    Details
    Publication Date: 2018-04-12
    Description: Digested sludge, as the main by-product of the sewage sludge anaerobic digestion process, still contains considerable organic compounds. In this protocol, we report a facile method for preparing digested sludge-derived self-doped porous carbon material for high-performance supercapacitor electrodes via a sustainable pyrolysis/activation process. The obtained digested sludge-derived carbon material (HPDSC) exhibits versatile O-, N-doped hierarchical porous framework, high specific surface area (2103.6 m 2 g –1 ) and partial graphitization phase, which can facilitate ion transport, provide more storage sites for electrolyte ions and enhance the conductivity of active electrode materials. The HPDSC-based supercapacitor electrodes show favourable energy storage performance, with a specific capacitance of 245 F g –1 at 1.0 A g –1 in 0.5 M Na 2 SO 4 ; outstanding cycling stability, with 98.4% capacitance retention after 2000 cycles; and good rate performance (211 F g –1 at 11 A g –1 ). This work provides a unique self-doped three-dimensional hierarchical porous carbon material with a favourable charge storage capacity and at the same time finds a high value-added and environment-friendly strategy for disposal and recycling of digested sludge.
    Keywords: nanotechnology, chemical physics, environmental science
    Electronic ISSN: 2054-5703
    Topics: Natural Sciences in General
    Published by Royal Society
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  • 5
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    The effects of image misregistration on the accuracy of remotely sensed change detection (1998)
    In:  IEEE Transactions on Geoscience and Remote Sensing, Warszawa, Pergamon, vol. 36, no. 5, pp. 1566-1577, pp. L19306, (ISBN: 0-12-018847-3)
    Details
    Publication Date: 1998
    Keywords: Pattern recognition ; NOISE ; Data analysis / ~ processing ; Error analysis
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    BIBLIOGRAPHY SEISMOLOGY
  • 6
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    Low-frequency germline variants across 6p22.2-6p21.33 are associated with non-obstructive azoospermia in Han Chinese men (2015)
    Oxford University Press
    Details
    Publication Date: 2015-09-12
    Description: Genome-wide association studies (GWAS) have identified several common loci contributing to non-obstructive azoospermia (NOA). However, a substantial fraction of NOA heritability remains undefined, especially those low-frequency [defined here as having a minor allele frequency (MAF) between 0.5 and 5%] and rare (MAF below 0.5%) variants. Here, we performed a 3-stage exome-wide association study in Han Chinese men to evaluate the role of low-frequency or rare germline variants in NOA development. The discovery stage included 962 NOA cases and 1348 healthy male controls genotyped by exome chips and was followed by a 2-stage replication with an additional 2168 cases and 5248 controls. We identified three low-frequency variants located at 6p22.2 (rs2298090 in HIST1H1E encoding p.Lys152Arg: OR = 0.30, P = 2.40 x 10 –16 ) and 6p21.33 (rs200847762 in FKBPL encoding p.Pro137Leu: OR = 0.11, P = 3.77 x 10 –16 ; rs11754464 in MSH5 : OR = 1.78, P = 3.71 x 10 –7 ) associated with NOA risk after Bonferroni correction. In summary, we report an instance of newly identified signals for NOA risk in genes previously undetected through GWAS on 6p22.2–6p21.33 in a Chinese population and highlight the role of low-frequency variants with a large effect in the process of spermatogenesis.
    Print ISSN: 0964-6906
    Electronic ISSN: 1460-2083
    Topics: Biology , Medicine
    Published by Oxford University Press
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  • 7
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    Drug-target interaction prediction: databases, web servers and computational models (2016)
    Oxford University Press
    Details
    Publication Date: 2016-07-16
    Description: Identification of drug–target interactions is an important process in drug discovery. Although high-throughput screening and other biological assays are becoming available, experimental methods for drug–target interaction identification remain to be extremely costly, time-consuming and challenging even nowadays. Therefore, various computational models have been developed to predict potential drug–target associations on a large scale. In this review, databases and web servers involved in drug–target identification and drug discovery are summarized. In addition, we mainly introduced some state-of-the-art computational models for drug–target interactions prediction, including network-based method, machine learning-based method and so on. Specially, for the machine learning-based method, much attention was paid to supervised and semi-supervised models, which have essential difference in the adoption of negative samples. Although significant improvements for drug–target interaction prediction have been obtained by many effective computational models, both network-based and machine learning-based methods have their disadvantages, respectively. Furthermore, we discuss the future directions of the network-based drug discovery and network approach for personalized drug discovery based on personalized medicine, genome sequencing, tumor clone-based network and cancer hallmark-based network. Finally, we discussed the new evaluation validation framework and the formulation of drug–target interactions prediction problem by more realistic regression formulation based on quantitative bioactivity data.
    Print ISSN: 1467-5463
    Electronic ISSN: 1477-4054
    Topics: Biology , Computer Science
    Published by Oxford University Press
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  • 8
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    Evidence for Topological Edge States in a Large Energy Gap near the Step Edges on the Surface of ZrTe_{5} (2016)
    American Physical Society (APS)
    Details
    Publication Date: 2016-05-11
    Description: Author(s): R. Wu, J.-Z. Ma, S.-M. Nie, L.-X. Zhao, X. Huang, J.-X. Yin, B.-B. Fu, P. Richard, G.-F. Chen, Z. Fang, X. Dai, H.-M. Weng, T. Qian, H. Ding, and S. H. Pan Topological edge states are observed inside a large band gap on the surface of ZrTe 5 crystals, paving the way for topological quantum computing devices. [Phys. Rev. X 6, 021017] Published Tue May 10, 2016
    Electronic ISSN: 2160-3308
    Topics: Physics
    Published by American Physical Society (APS)
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  • 9
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    Fermat’s least-time principle and the embedded transparent lens (2013)
    American Physical Society (APS)
    Details
    Publication Date: 2013-10-02
    Description: Author(s): R. Kantowski, B. Chen, and X. Dai We present a simplified version of the lowest-order embedded point mass gravitational lens theory and then make the extension of this theory to any embedded transparent lens. Embedding a lens effectively reduces the gravitational potential’s range, i.e., partially shields the lensing potential becau... [Phys. Rev. D 88, 083001] Published Tue Oct 01, 2013
    Keywords: Astrophysics & Cosmology
    Print ISSN: 0556-2821
    Electronic ISSN: 1089-4918
    Topics: Physics
    Published by American Physical Society (APS)
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  • 10
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    Identification of active transcription factor and miRNA regulatory pathways in Alzheimer's disease (2013)
    Oxford University Press
    Details
    Publication Date: 2013-10-04
    Description: Motivation: Alzheimer’s disease (AD) is a severe neurodegenerative disease of the central nervous system that may be caused by perturbation of regulatory pathways rather than the dysfunction of a single gene. However, the pathology of AD has yet to be fully elucidated. Results: In this study, we systematically analyzed AD-related mRNA and miRNA expression profiles as well as curated transcription factor (TF) and miRNA regulation to identify active TF and miRNA regulatory pathways in AD. By mapping differentially expressed genes and miRNAs to the curated TF and miRNA regulatory network as active seed nodes, we obtained a potential active subnetwork in AD. Next, by using the breadth-first-search technique, potential active regulatory pathways, which are the regulatory cascade of TFs, miRNAs and their target genes, were identified. Finally, based on the known AD-related genes and miRNAs, the hypergeometric test was used to identify active pathways in AD. As a result, nine pathways were found to be significantly activated in AD. A comprehensive literature review revealed that eight out of nine genes and miRNAs in these active pathways were associated with AD. In addition, we inferred that the pathway hsa-miR-146a-〉STAT1-〉MYC, which is the source of all nine significantly active pathways, may play an important role in AD progression, which should be further validated by biological experiments. Thus, this study provides an effective approach to finding active TF and miRNA regulatory pathways in AD and can be easily applied to other complex diseases. Contact: lixia@hrbmu.edu.cn or lw2247@gmail.com . Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
    Published by Oxford University Press
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