Group Formation for Minimizing Bullying Probability. A Proposal Based on Genetic Algorithms

2011 ◽  
pp. 148-156 ◽  
Author(s):  
L. Pedro Salcedo ◽  
M. Angélica Pinninghoff J. ◽  
A. Ricardo Contreras
Keyword(s):  
Genetic Algorithms ◽  
Group Formation

Collaborative Group Formation Using Genetic Algorithms

2015 ◽  
pp. 330-338
Author(s):  
M. Angélica Pinninghoff ◽  
Miguel Ramírez ◽  
Ricardo Contreras Arriagada ◽  
Pedro Salcedo Lagos
Keyword(s):  
Genetic Algorithms ◽  
Group Formation ◽  
Collaborative Group

Sulfhydryl bond formation is a prerequisite for proper cycling of centrosomes and chromosomes in mammalian tissue culture cells

1993 ◽  
Vol 51 ◽  
pp. 342-343
Author(s):  
Heide Schatten ◽  
Neidhard Paweletz ◽  
Ron Balczon
Keyword(s):  
Tissue Culture ◽  
Cell Cycle Progression ◽  
Group Formation ◽  
Sulfhydryl Group ◽  
Mammalian Tissue ◽  
Mitotic Chromosomes ◽  
Microtubule Network ◽  
Culture Cells ◽  
Tissue Culture Cells ◽  
Transmission Electron

To study the role of sulfhydryl group formation during cell cycle progression, mammalian tissue culture cells (PTK2) were exposed to 100¼M 2-mercaptoethanol for 2 to 6 h during their exponential phase of growth. The effects of 2-mercaptoethanol on centrosomes, chromosomes, microtubules, membranes and intermediate filaments were analyzed by transmission electron microscopy (TEM) and by immunofluorescence microscopy (IFM) methods using a human autoimmune antibody directed against centrosomes (SPJ), and a mouse monoclonal antibody directed against tubulin (E7). Chromosomes were affected most by this treatment: premature chromosome condensation was detected in interphase nuclei, and the structure in mitotic chromosomes was altered compared to control cells. This would support previous findings in dividing sea urchin cells in which chromosomes are arrested at metaphase while the centrosome splitting cycle continues. It might also support findings that certairt-sulfhydryl-blocking agents block cyclin destruction. The organization of the microtubule network was scattered probably due to a looser organization of centrosomal material at the interphase centers and at the mitotic poles.

Genetic Algorithms—a Tool for OR?

1996 ◽  
Vol 47 (4) ◽  
pp. 550-561 ◽  
Author(s):  
Kathryn A Dowsland
Keyword(s):  
Genetic Algorithms

Promoting Women’s Entrepreneurship in Lebanon: Enhancing Empowerment or Vulnerability?

1970 ◽  
pp. 39-47
Author(s):  
Nabil Abdo
Keyword(s):  
Low Income ◽  
Women Entrepreneurs ◽  
Group Formation ◽  
Business Groups ◽  
Economic Empowerment ◽  
Sustainable Livelihood ◽  
Business Skills ◽  
Palestinian Women ◽  
Support Organizations ◽  
And Training

The International Labour Organization in Beirut has been running a project in the Palestinian Camps of Nahr El Bared and Ein El Helweh entitled “Palestinian Women Economic Empowerment Initiative”. The project started in 2011 and targets lowincome Palestinian women entrepreneurs through a threefold strategy: giving out loans and grants to women business groups in order to expand their businesses; training women entrepreneurs to enhance their business skills; and building the capacity of support organizations in order to improve business development services for women entrepreneurs and training them to be formally certified to deliver business group formation training. The project builds on the potential of business groups in assuring the protection of Palestinian women entrepreneurs from risks through resilience, pooling of resources, and collective voice. The objectives are to assure a sustainable livelihood for Palestinian women entrepreneurs through supporting them in expanding their businesses beyond survivalist low-income activities

Enhanced Artificial Intelligent Method for Representing the Photonic Crystal Fiber Profile Index

2018 ◽  
Vol 1 (1) ◽  
pp. 2-19
Author(s):  
Mahmood Sh. Majeed ◽  
Raid W. Daoud
Keyword(s):  
Genetic Algorithms ◽  
Photonic Crystal ◽  
Photonic Crystal Fiber ◽  
New Method ◽  
Proper Solution ◽  
Artificial Intelligent ◽  
Crystal Fiber ◽  
Fitness Value ◽  
First Pass ◽  
Crossover And Mutation

A new method proposed in this paper to compute the fitness in Genetic Algorithms (GAs). In this new method the number of regions, which assigned for the population, divides the time. The fitness computation here differ from the previous methods, by compute it for each portion of the population as first pass, then the second pass begin to compute the fitness for population that lye in the portion which have bigger fitness value. The crossover and mutation and other GAs operator will do its work only for biggest fitness portion of the population. In this method, we can get a suitable and accurate group of proper solution for indexed profile of the photonic crystal fiber (PCF).

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