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High concentration of calcium ions in Golgi apparatus

Cell Research 1994年第1期4卷 97-108页

作者： XUE SHAOBAI M. RoBERT NICOUD JIE CUI D.J.ARNDT JOVIN(Depariment of Biology, Beijing Normal University, Beijing 100875, China)(Max-Planck-Institute fur Biophysikalische Chemie,Gottingen, Germany) Department of Biology Beijing Normal University Beijing China Max-Planck-Institute fsr Biophysikalische Chemie GSttingen Germany

The interphase NIH3T3 cells were vitally fluorescentstained with calcium indicator fluo-3 and Glogi probe C6NBD-ceramide, and then the single cells were examined by laser scanning confocal microscopy (LSCFM) for subcellular distributions of Ca2+ and the location of Golgi apparatus. In these cells, the intracellular Ca2+ were found to be highly concentrated in the Golgi apparatus. The changes of distribution of cytosolic high Ca2+ region and the Golgi apparatus coincided with the cell cycle *** calcium free medium, when the plasma membrane of the cells which had been loaded with fluo-3/AM were permeated by digitonin, the fluorescence of the Golgi region decreased far less than that of the cytosol. Our results indicated that the Glogi lumen retained significantly high concentration of free calcium.

关键词： intracellular free calcium fluo-3/AM Golgi apparatus C6-NBD-ceramide laser scanning confocal microscopy intracellular calcium store

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Systematic vs. Non-Systematic Search for 3D Aircraft Conflict Resolution

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Journal of Intelligent Learning Systems and Applications 2012年第3期4卷 223-229页

作者： Younes Mechqrane El Houssine Bouyakhf LIMIARF/fsr University Mohammed V Agdal Rabat Morocco.

A conflict is an event in which two or more aircraft experience a loss of minimum separation. In this paper, we formulate the problem of solving conflicts arising among several aircraft moving in a shared airspace as a Constraint Satisfaction Problem (CSP). The constraint satisfaction problem being NP-complete, the algorithms developed to solve it have been of two types: non-systematic and systematic search methods. In this paper, we have considered a breakout algorithm as an example of non-systematic search methods and a backtracking procedure that maintains Arc Consistency (MAC) as an example of systematic search methods. The performance of these algorithms was compared experimentally and the Breakout algorithm is shown to be clearly superior.

关键词： Constraint Satisfaction Problem Systematic Search Non-Systematic Search Aircraft Conflict Resolution

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Distributed C-Means Algorithm for Big Data Image Segmentation on a Massively Parallel and Distributed Virtual Machine Based on Cooperative Mobile Agents

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Journal of Software Engineering and Applications 2015年第3期8卷 103-113页

作者： Fatéma Zahra Benchara Mohamed Youssfi Omar Bouattane Hassan Ouajji Mohammed Ouadi Bensalah Laboratory SSDIA ENSET Mohammedia University Hassan II of Casablanca Casablanca Morocco fsr University Mohammed V Rabat Morocco

The aim of this paper is to present a distributed algorithm for big data classification, and its application for Magnetic Resonance Images (MRI) segmentation. We choose the well-known classification method which is the c-means method. The proposed method is introduced in order to perform a cognitive program which is assigned to be implemented on a parallel and distributed machine based on mobile agents. The main idea of the proposed algorithm is to execute the c-means classification procedure by the Mobile Classification Agents (Team Workers) on different nodes on their data at the same time and provide the results to their Mobile Host Agent (Team Leader) which computes the global results and orchestrates the classification until the convergence condition is achieved and the output segmented images will be provided from the Mobile Classification Agents. The data in our case are the big data MRI image of size (m × n) which is splitted into (m × n) elementary images one per mobile classification agent to perform the classification procedure. The experimental results show that the use of the distributed architecture improves significantly the big data segmentation efficiency.

关键词： Multi-Agent System Distributed Algorithm Big Data Image Segmentation MRI Image C-Means Algorithm Mobile Agent

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