نتایج جستجو برای: lao tzu

تعداد نتایج: 2805  

Journal: :JOURNAL OF INDIAN AND BUDDHIST STUDIES (INDOGAKU BUKKYOGAKU KENKYU) 1986

2015
Dale Ding

The treatment of acute ischemic stroke (AIS) in the setting of intracranial large artery occlusion (LAO) with intravenous tissue plasminogen activator (IV-tPA) is associated with low rates of recanalization and high rates of neurological morbidity and functional dependence. Endovascular intervention, particularly mechanical thrombectomy, is a promising therapeutic adjunct to IV-tPA for the trea...

2015
Ricardo S. Randall Emily Sornay Walter Dewitte James A. H. Murray

Plant lateral aerial organ (LAO) growth is determined by the number and size of cells comprising the organ. Genetic alteration of one parameter is often accompanied by changes in the other, such that the overall effect on final LAO size is minimized, suggested to be caused by an active organ level 'compensation mechanism'. For example, the aintegumenta (ant) mutant exhibits reduced cell number ...

2010

Snake venoms are rich in enzymes such as phospholipase A2, proteolytic enzymes, hyaluronidases and phosphodiesterases, which are well characterized. However, L-amino acid oxidase (LAO EC.1.4.3.2) from snake venoms has not been extensively studied. A novel L-amino acid oxidase from Bungarus caeruleus venom was purified to homogeneity using a combination of ion-exchange by DEAE-cellulose chromato...

2011
Erez Karpas Sergio Jiménez Celorrio Subbarao Kambhampati

Learn-and-Optimize (LaO) is a generic surrogate based method for parameter tuning combining learning and optimization. In this paper LaO is used to tune Divide-and-Evolve (DaE), an Evolutionary Algorithm for AI Planning. The LaO framework makes it possible to learn the relation between some features describing a given instance and the optimal parameters for this instance, thus it enables to ext...

2011
Erez Karpas Sergio Jiménez Celorrio Subbarao Kambhampati

Learn-and-Optimize (LaO) is a generic surrogate based method for parameter tuning combining learning and optimization. In this paper LaO is used to tune Divide-and-Evolve (DaE), an Evolutionary Algorithm for AI Planning. The LaO framework makes it possible to learn the relation between some features describing a given instance and the optimal parameters for this instance, thus it enables to ext...

2010
Shoji Ishibashi Kiyoyuki Terakura

Although both LaAlO3 (LAO) and SrTiO3 (STO) are insulators, at the interface of LAO/STO [001] stacking structures, formation of two-dimensional electronic gas with high mobility was reported [1]. Associated with this, a problem concerning divergence of electrostatic potential was also pointed out [2]. We performed first-principles calculations on LAO/STO [001] stacking thin films and investigat...

2012
Brunna M. Okubo Osmar N. Silva Ludovico Migliolo Diego G. Gomes William F. Porto Carla L. Batista Carmel S. Ramos Hortência H. S. Holanda Simoni C. Dias Octavio L. Franco Susana E. Moreno

Healthcare-associated infections (HAIs) are causes of mortality and morbidity worldwide. The prevalence of bacterial resistance to common antibiotics has increased in recent years, highlighting the need to develop novel alternatives for controlling these pathogens. Pitviper venoms are composed of a multifaceted mixture of peptides, proteins and inorganic components. L-amino oxidase (LAO) is a m...

2011
Mátyás Brendel Marc Schoenauer

Learn-and-Optimize (LaO) is a generic surrogate based method for parameter tuning combining learning and optimization. In this paper LaO is used to tune Divide-and-Evolve (DaE), an Evolutionary Algorithm for AI Planning. The LaO framework makes it possible to learn the relation between some features describing a given instance and the optimal parameters for this instance, thus it enables to ext...

2011
Mátyás Brendel Marc Schoenauer

Learn-and-Optimize (LaO) is a generic surrogate based method for parameter tuning combining learning and optimization. In this paper LaO is used to tune Divide-and-Evolve (DaE), an Evolutionary Algorithm for AI Planning. The LaO framework makes it possible to learn the relation between some features describing a given instance and the optimal parameters for this instance, thus it enables to ext...

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