Search Results - (Author, Cooperation:J. Ambati)

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  1. 1
    Staff View
    Publication Date:
    2014-11-22
    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:
    Alu Elements ; Animals ; Anti-Inflammatory Agents, Non-Steroidal/*pharmacology/therapeutic use ; Apoptosis/drug effects ; Carrier Proteins/metabolism ; Caspase 1/metabolism ; Choroidal Neovascularization/drug therapy ; Disease Models, Animal ; Geographic Atrophy/drug therapy ; Graft vs Host Disease/drug therapy ; Hepatitis/drug therapy ; Inflammasomes/*drug effects ; Liver/drug effects ; Mice ; Receptors, Purinergic P2X7/metabolism ; Retinal Pigment Epithelium/drug effects/metabolism/physiology ; Reverse Transcriptase Inhibitors/*pharmacology/therapeutic use
    Published by:
    Latest Papers from Table of Contents or Articles in Press
  2. 2
    Staff View
    Publication Date:
    2011-02-08
    Publisher:
    Nature Publishing Group (NPG)
    Print ISSN:
    0028-0836
    Electronic ISSN:
    1476-4687
    Topics:
    Biology
    Chemistry and Pharmacology
    Medicine
    Natural Sciences in General
    Physics
    Keywords:
    Alu Elements/*genetics ; Animals ; Cell Death ; Cell Survival ; Cells, Cultured ; DEAD-box RNA Helicases/*deficiency/genetics/metabolism ; Gene Knockdown Techniques ; Humans ; Macular Degeneration/*genetics/*pathology ; Mice ; MicroRNAs/metabolism ; Molecular Sequence Data ; Oligonucleotides, Antisense ; Phenotype ; RNA/*genetics/*metabolism ; Retinal Pigment Epithelium/enzymology/metabolism/pathology ; Ribonuclease III/*deficiency/genetics/metabolism
    Published by:
    Latest Papers from Table of Contents or Articles in Press
  3. 3
    Ambati, B. K. ; Ambati, J. ; Mokhtar, M. M.
    Springer
    Published 1991
    Staff View
    ISSN:
    1432-0770
    Source:
    Springer Online Journal Archives 1860-2000
    Topics:
    Biology
    Computer Science
    Physics
    Notes:
    Abstract A genetic algorithm simulating Darwinian evolution is proposed to yield near-optimal solutions to the Traveling Salesman Problem. Noting that Darwinian evolution is itself an optimization process, we propose a heuristic algorithm that incorporates the tenets of natural selection. The time complexity of this algorithm is equivalent to the fastest sorting scheme! Computer simulations indicate rapid convergence is maintained even with increasing problem complexity. This methodology can be adapted to tackle a host of other combinatorial problems.
    Type of Medium:
    Electronic Resource
    URL:
    Articles: DFG German National Licenses