Effect of Industrial Effluent on the Growth of Marine Diatom, Chaetoceros simplex (Ostenfeld, 1901)

The marine centric diatom,Chaetoceros simplex (Ostenfeld, 1901) was exposed to five different concentrations of industrial effluent for 96 hrs to investigate the effect on growth. The physico-chemical parameters viz. colour, odour, temperature, salinity, dissolved oxygen, turbidity, pH, alkalinity, hardness, ammonia, nitrite, nitrate, inorganic phosphate, total phosphorous, reactive  silicate, calcium and magnesium were estimated in the effluent. The Ammonia  (326 μg. L-1), Nitrite (19.53 μg. L-1) and Nitrate (471.4 μg. L-1) were observed at higher levels. About 50% of the cell density of C. simplex reached a lesser dilutions of effluent viz. 1:625 and 1:1250 than the control. The highest cell density (14.3 × 104 cell ml-1) was recorded in 1:10000 diluted effluent followed by control and the lowest cell density was observed in 1:625 diluted effluents. From the results, it is evidenced that the lower volume of effluent discharge into higher volume of water could not affect the growth rate of phytoplankton. It is more important that to reduce the effect of pollution and environmental sustainability. @JASEMJ. Appl. Sci. Environ. Manage. December, 2010, Vol. 14 (4) 35 - 3

Graph Theory and Algorithms for Network Analysis

In network analysis, the study and comprehension of complex systems in numerous fields, such as social networks, transportation networks, and biological networks, are made possible by the crucial role played by graph theory and algorithms. In order to give a comprehensive review of the graph theory and network analysis methods, this abstract will focus on their significance, practical uses, and most recent developments. With items represented as nodes or vertices and links between them as edges, graph theory offers a mathematical framework for modeling and evaluating relationships between objects. Researchers may learn important things about the structure, connectivity, and behavior of complex systems by using graph theory in network analysis. As a result, network analysis is made possible by the graph theory and algorithms, which offer strong tools for studying and comprehending the complicated linkages and structures of complex systems. Graph theory and algorithms have many different applications, including social networks, transportation networks, and biological networks. Large-scale network analysis is now possible thanks to the development of effective algorithms and methodologies, which has significantly advanced the subject. The significance of graph theory and algorithms for network research will only rise as networks continue to expand in size and complexity

Identification of restorers and maintainers for CMS lines of rice (Oryza sativa L.) under shallow low land condition.

Based on the pollen fertility (%) and spikelet fertility (%), ten genotypes were identified as potential restorers. Among thegenotypes RPHR 203-3 and R 1216-6 have been identified as potential restorers for all three lines (CRMS 31A, CRMS 32Aand IR 58025A). Among others , WAR 120-1-5-6-2-B-B-3, CR 780-1937 and Chinikapoor were considered as potentialrestorers for CRMS 31A and IR 58025A. IR 68830-NDR-1-1 for CRMS 32A and R 1130-102-3-88-1, OR 1898-18RAU729-12-44 and WAR 89-4-A9-1-B-B-B-2 were found to be good restorers for CRMS 32A. The study also concluded that thefrequency of potential restorers is much higher in number and no effective maintainer could be identified in the materialunder study

Improving Performance of World Wide Web by Adaptive Web Traffic Reduction

The ever increasing use of World Wide Web in the existing network, results in poor performance. Several techniques have been developed for reducing web traffic by compressing the size of the file, saving the web pages at the client side, changing the burst nature of traffic into constant rate etc. No single method was adequate enough to access the document instantly through the Internet. In this paper, adaptive hybrid algorithms are developed for reducing web traffic. Intelligent agents are used for monitoring the web traffic. Depending upon the bandwidth usage, user-s preferences, server and browser capabilities, intelligent agents use the best techniques to achieve maximum traffic reduction. Web caching, compression, filtering, optimization of HTML tags, and traffic dispersion are incorporated into this adaptive selection. Using this new hybrid technique, latency is reduced to 20 – 60 % and cache hit ratio is increased 40 – 82 %