Search Results - (Author, Cooperation:M. D. Lima)

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  1. 1
    Staff View
    Publication Date:
    2014-02-22
    Publisher:
    American Association for the Advancement of Science (AAAS)
    Print ISSN:
    0036-8075
    Electronic ISSN:
    1095-9203
    Topics:
    Biology
    Chemistry and Pharmacology
    Computer Science
    Medicine
    Natural Sciences in General
    Physics
    Keywords:
    *Cotton Fiber ; Humans ; Muscles/chemistry/ultrastructure ; *Nylons ; Polymers ; Porosity ; *Tensile Strength ; *Torsion, Mechanical
    Published by:
    http://www.aaas.org/

    Latest Papers from Table of Contents or Articles in Press
  2. 2
    Staff View
    Publication Date:
    2012-11-20
    Publisher:
    American Association for the Advancement of Science (AAAS)
    Print ISSN:
    0036-8075
    Electronic ISSN:
    1095-9203
    Topics:
    Biology
    Chemistry and Pharmacology
    Computer Science
    Medicine
    Natural Sciences in General
    Physics
    Keywords:
    Absorption ; Electricity ; Hot Temperature ; Hydrogen/chemistry ; *Muscle Contraction ; Muscles/*chemistry/ultrastructure ; *Nanotubes, Carbon ; Optics and Photonics ; Photons ; *Tensile Strength
    Published by:
    http://www.aaas.org/

    Latest Papers from Table of Contents or Articles in Press
  3. 3
    Staff View
    Publication Date:
    2015-07-25
    Publisher:
    American Association for the Advancement of Science (AAAS)
    Print ISSN:
    0036-8075
    Electronic ISSN:
    1095-9203
    Topics:
    Biology
    Chemistry and Pharmacology
    Computer Science
    Medicine
    Natural Sciences in General
    Physics
    Keywords:
    *Elastic Tissue ; Elasticity ; Electric Capacitance ; *Electronics ; *Muscle, Skeletal ; *Nanotubes, Carbon ; Torsion, Mechanical
    Published by:
    http://www.aaas.org/

    Latest Papers from Table of Contents or Articles in Press
  4. 4
    Staff View
    Publication Date:
    2011-01-08
    Publisher:
    American Association for the Advancement of Science (AAAS)
    Print ISSN:
    0036-8075
    Electronic ISSN:
    1095-9203
    Topics:
    Biology
    Chemistry and Pharmacology
    Computer Science
    Medicine
    Natural Sciences in General
    Physics
    Published by:
    http://www.aaas.org/

    Latest Papers from Table of Contents or Articles in Press
  5. 5
    Staff View
    Publication Date:
    2018-03-15
    Publisher:
    BMJ Publishing
    Electronic ISSN:
    2044-6055
    Topics:
    Medicine
    Keywords:
    Open access, Research methods, Nursing
    Published by:
    http://group.bmj.com/

    Latest Papers from Table of Contents or Articles in Press
  6. 6
    Staff View
    ISSN:
    1572-9338
    Keywords:
    Efficiency sensitivity ; interior point algorithm ; analytic centers ; potential data errors
    Source:
    Springer Online Journal Archives 1860-2000
    Topics:
    Mathematics
    Economics
    Notes:
    Abstract The setE of extreme points which are also efficient are of basic importance in defining the efficiency frontier, from which the observations for all other DMUs are evaluated in DEA. A significant question which we address is “What variations in the data can be tolerated before the membership inE is changed?” This topic is explored using (1) a simple illustrative example, and (2) production data for 30 independent oil companies during the period 1983–1985. Data were allowed to vary simultaneously for all observations and in different subsets determined by random drawings of data for points both inE and not inE. The results were found to be robust in this study, thereby lending further support to earlier studies which also found these classifications into efficient and inefficient performers to be robust in DEA. Technical developments for these new methods of sensitivity analysis are supplied. These developments feature an application of analytic center (interior point) algorithms which ensure that the Strong Complementary Slackness Condition (SCSC) is fulfilled. The solutions satisfy a mathematical condition called “centrality”. Generally, the solutions are at interior points calledanalytic centers. At these interior points, continuity of the input-output ratios ensures that DMUs inE remain inE for at least small relative variations in the data, while empirically these properties have been found to extend to much larger variations in the data sets.
    Type of Medium:
    Electronic Resource
    URL:
    http://dx.doi.org/10.1007/BF02187299

    Articles: DFG German National Licenses