نتایج جستجو برای: neuro

تعداد نتایج: 19724  

Journal: :iranian journal of basic medical sciences 0
masoumeh emamghoreishi department of pharmacology, school of medicine, shiraz university of medical sciences, shiraz, iran. department of neuroscience, school of advanced medical sciences and technologies, shiraz university of medical sciences, shiraz, iran mojtaba keshavarz department of pharmacology, school of medicine, shiraz university of medical sciences, shiraz, iran ali akbar nekooeian department of pharmacology, school of medicine, shiraz university of medical sciences, shiraz, iran

objective(s):theneuroprotective effect of lithium has been attributed to its therapeutic action. however, the role of glial cells particularly astrocytes, and the possible interactions between neurons and astrocytes in neuroprotective effects of lithium have been disregarded. thus, the aim of this study was to evaluate the direct effects of lithium on brain derived neurotrophic factor (bdnf) an...

2017
Sergio Carmona Romina Weinschelbaum Ana Pardal Cintia Marchesoni Paz Zuberbuhler Patricia Acosta Guillermo Cáceres Isaac Kisinovsky Luciana Bayón Ricardo Reisin

Fabry disease (FD) is an X-linked lysosomal storage disease, with multisystemic glycosphingolipids deposits. Neuro-otological involvement leading to hearing loss and vestibular dysfunctions has been described, but there is limited information about the frequency, site of lesion, or the relationship with peripheral neuropathy. The aim was to evaluate the presence of auditory and vestibular sympt...

2012
Vijay Kumar Kumar Venkatesh

This paper presents prediction of liquefaction potential of soils by neuro-fuzzy models evaluated using Idriss and Boulanger method. In order to address the collective knowledge built up in conventional liquefaction method, an alternative Takagi-Sugeno-Kang reliant neuro-fuzzy model has been developed. Neuro-fuzzy is one of the artificial intelligence approaches that can be classified by machin...

2010
Harish Ch. Das Dayal R. Parhi

This paper addresses the fault detection of a cracked cantilever beam using a hybrid artificial intelligence technique. The hybrid technique used here uses a fuzzy-neuro controller. The fuzzy-neuro controller has two parts. The first part is comprised of the fuzzy controller, and the second part is comprised of the neural controller. The input parameters of the fuzzy controller are relative dev...

Journal: :Neuroscience research 2004
Mizuho Ida Haruno Suzuki Nozomu Mori Shigeru Taketani Masasuke Araki

Neuro-p24 is a novel neuronal membrane protein that is specifically localized in neural processes, particularly in growing neurites. To explore the roles of Neuro-p24, we examined the immunocytochemical localization of this protein in cultured neurons during neural induction, and performed an antisense oligonucleotide transfection using two culture models, the mouse dorsal root ganglia (DRG) an...

2004
K. C. Chang T. K. Lin

Experimental result of a full scale-steel frame with a smart active control system under shaking table test has been carried out in this paper. Newly, the concept of smart structure has been broached to the extent of structure control. The NEURO-FBG control system, which is composed of both neural networks and fiber Bragg grating sensors, has been theoretically analyzed and simulated to effecti...

Journal: :Expert Syst. Appl. 2009
Van Tung Tran Bo-Suk Yang Myung-Suck Oh Andy Chit Chiow Tan

The University Repository is a digital collection of the research output of the University, available on Open Access. Copyright and Moral Rights for the items on this site are retained by the individual author and/or other copyright owners. Users may access full items free of charge; copies of full text items generally can be reproduced, displayed or performed and given to third parties in any ...

Journal: :Inf. Sci. 2010
Wei Wu Long Li Jie Yang Yan Liu

Article history: Received 23 September 2008 Received in revised form 28 December 2009 Accepted 29 December 2009

Journal: :Expert Syst. Appl. 2010
J. R. Mohanty B. B. Verma P. K. Ray D. R. K. Parhi

This is the pre-peer reviewed version of the article: Mohanty J R, Verma B B, Ray P K, Parhi D R K, Prediction of mode-I overload-induced fatigue crack growth rates using neuro-fuzzy approach, Expert Systems with Applications, 37(2010), 3075-3087, which has been published in the final form at http://www.sciencedirect.com/science/journal/09574174 Prediction of mode-I overload-induced fatigue cra...

2015
Balakrishna Reddy

The growth in the demand of electrical energy is leading to load on the Power system which increases the occurrence of frequent oscillations in the system. The reason for the oscillations is due to the lack of damping torque which is required to dominate the disturbances of Power system. By using FACT devices, such as Unified Power Flow Controller (UPFC) can control power flow, reduce sub-synch...

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