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Full-Text Articles in Life Sciences
Minerva 2008, The Honors College
Minerva 2008, The Honors College
Minerva
This issue of Minerva includes an article on the completion of the restoration of Colvin Hall; a reflection by Ruth Nadelhaft, former UMaine Honors program director; and an article on Honors alumnus and Nobel Peace Prize winner Bernard Lown and his 2008 Rezendes Visiting Scholar in Ethics Lecture/Distinguished Honors Graduate Lecture.
Web-Based Information Management System For The Long Term Ecological Research Program In Kenting, Taiwan, Yang-Chi Chang, Meng-Tsung Lee, Kun-Chi Lai
Web-Based Information Management System For The Long Term Ecological Research Program In Kenting, Taiwan, Yang-Chi Chang, Meng-Tsung Lee, Kun-Chi Lai
Journal of Marine Science and Technology
This paper introduces a web-based information management system which has been set up as a collaborative facility to allow key environmental and ecological information access for the Long Term Ecological Research (LTER) in Kenting, Taiwan. The coral reef ecosystem degradation in Kenting has concerned both public and private sectors, for which a LTER team was formed to investigate the problem. A multi-functional web-based system integrates diverse data collections and analyses efforts of team members during the project span. It also provides authorities with effective information and knowledge for sustainable coral reef management. Three information technologies, web Database Management System (DBMS), …
Neural Network Models For Solving The Maximum Flow Problem, S. Effati, M. Ranjbar
Neural Network Models For Solving The Maximum Flow Problem, S. Effati, M. Ranjbar
Applications and Applied Mathematics: An International Journal (AAM)
In this paper, two new neural network models for solving the maximum flow problem are presented. The maximum flow problem in networks is formulated as a special type of linear programming problem and it is solved by appropriately defined neural networks. The nonlinear neural networks are able to generate optimal solution for maximum flow problem. We solve neural network models by one of the numerical method. Finally, some numerical examples are provided for the sake of illustration.
The Journal Of Undergraduate Research: Volume 06
The Journal Of Undergraduate Research: Volume 06
The Journal of Undergraduate Research
This is the complete issue of the South Dakota State University Journal of Undergraduate Research, Volume 6.