Titlebook: Synaptic Plasticity; Dynamics, Developmen Michael R. Kreutz,Carlo Sala Book 2012 The Editor(s) (if applicable) and The Author(s), under exc

AIL

Martin Heinereathe in. It is necessary to educate people on how to ameliorate the effects of air pollutants and control air pollution. In this paper, we have presented a framework that utilizes data from social networks and supervised machine learning algorithm, which will facilitate in taking an initial step t

痛打

Bong-Kiun Kaang,Jun-Hyeok Choiis hypo-exponentially distributed as the inter-transition time is independent and exponentially modeled. Extensive simulations are performed and the obtained results prove that CCPHRT is effective in improving the performance of the network than the compared techniques used for investigation. CCPHRT

敏捷

Madhav Sukumaran,Andrew C. Penn,Ingo H. Gregerion. To analyze the performance of the OBDF-ORDB architecture E-shopping application is selected. Experimental results shows that the proposed OBDF-ORDB architecture is relatively better than the traditional data access and ontology based data access in recall and response time. It is observed that

MOAT

e Communication (GSM) module. Users can search all historical sensing data from HCP and a website. The proposed system has been tested in the field since August 2008, and the data transmitted from the monitored field has demonstrated that the system is capable of monitoring environmental parameters

myocardium

Stefan Kindler,Hans-Jürgen Kreienkampent on climatic variability. For both cases the final characteristics of the phenomenon was given in the form of video frames, expressing the processes in time. Unique method of echo-recording transformation into video frames was described and applied to analyse the process of ebullition of methane

轻而薄

nd reasoning of imperfect context and vague situations are combined with the CS model’s underlying theoretical basis for supporting context-aware pervasive computing scenarios. An implementation and evaluation of the FSI model are presented to highlight the benefits of the FSI technique for context

Corroborate

Anna Karpova,Julia Bär,Michael R. Kreutzested against the same data sets. The 94% average classification accuracy of the proposed . is outperforming the accuracy of . (accuracy 87%). The motion detection algorithms presented in this paper provide ubiquitous methods for deriving the state of the user. The algorithms can be implemented and

nutrition

Glutamate Receptors in Synaptic Assembly and Plasticity: Case Studies on Fly NMJs

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增强

Regulation of the Actin Cytoskeleton in Dendritic Spines