Effect of Sugar Factory Effluent on Physico-Chemical Properties and Cellulase Activity of Soil - A Case Study

An assessment was done on the effect of sugar factory effluent on physicochemical properties and cellulase activity of soil near sugar factory at Chahardi in Chopda tahsil of Jalgaon district in Maharashtra, India. Soil samples were collected from 7 sampling sites near the sugar factory during 2011-2012. The experimental results indicated that most of the physicochemical properties of soil including pH, electrical conductivity and some nutrients, viz. N, P, K, Zn, Pb, Cu, and Fe as well as soil cellulase activities shown statistically significant fluctuations (p<0.05)

Crystal structure and interaction of 6-amino coumarin with nitrite ion for its selective fluorescence detection

6-Amino coumarin has been established as an efficient nitrite ion selective fluorescent sensor. The developed method shows linearity up to 1.6 × 10 -6 molL -1 of nitrite ion concentration. Interference from other common anions is almost negligible. The reagent shows strong binding affinity towards nitrite ion as evident from its binding constant value (5.8 × 10 4), estimated by Stern-Volmer method. Some real samples were analyzed. Single crystal X-ray structure of the reagent is reported. Preliminary computational studies on the molecular level interaction between the reagent and nitrite ion were performed by density functional theory (DFT, B3LYP) method. Copyright © 2012 Taylor and Francis Group, LLC

Implementation of Improved IR System through Swarm Intelligence Technique

Information retrieval is concept related to various optimization techniques and clustering algorithms.High dimensional Textual dataset is required for information retrieval .swarm intelligence is one of the most important technique under evolutionary algorithms.Evolutionary algorithm and Swarm Intelligence Technique are used for the optimization.Swarm intelligence technique includesalgorithm for optimization.Comparative study of thos gives best algorithm on the basis of there computational time and efficiency.This best algorithm is using for implementation of information retrieval system

Studies on recent changes in premonsoon season climatic variables over gangetic west Bengal and its surroundings, India

A comparative study has been made in order to address some scientific issues like changes in precipitation and temperature patterns for the premonsoon season during the period 1973-92 over Gangetic West Bengal and its neighbourhood, a region in the eastern part of India. Though premonsoon precipitation contributes only about 12% of the annual rainfall, it is the maximum amount outside the monsoon season. It also occurs after a wide gap of eight months. While constructing the data series, a particular area has been identified where maximum reduction in precipitation occurs in the recent period 1983-92. Statistical analyses with the data series reveal that decrease in precipitation and increase in mean temperature in the month of March are statistically significant. April and May follow the same trend though they are not statistically significant. Integrated Differences Curve shows invariably a reverse associateship between the mean temperature and precipitation.SE HA HECHO UN ESTUDIO COMPARATIVO, CON EL FIN DE TRATAR ALGUNO TEMAS CIENTÍFICOS TALES COMO LOS CAMBIOS DE LAS CONFIGURACIONES EN LA PRECIPITACIÓN Y EN LA TEMPERATURA PARA LA ESTACIÓN PREVIA AL MONZÓN, DURANTE EL PERIODOS 1973-1992, EN EL BENGAL OESTE DEL GANGES Y SU ÁREA, AUNQUE LA PRECIPITACIÓN DE PREMONZÓN CONTRIBUYE ÚNICAMENTE CERCA DE 12% DE LA LLUVIA ANUAL, ES LA MÁXIMA CANTIDAD FUERA DE LA ESTACIÓN DEL MONZÓN. TAMBIÉN OCURRE DESPUÉS DE UNA AMPLIA INTERRUPCIÓN DE 8 MESES. MIENTRAS CONSTRUÍAMOS LA SERIE DE DATOS SE IDENTIFICO UNA ÁREA EN PARTICULAR, DONDE LA MÁXIMA REDUCCIÓN EN PRECIPITACIÓN OCURRE EN EL PERIODO RECIENTE, 1983-1992. EL ANÁLISIS ESTADÍSTICO CON LAS SERIES DE DATOS, REVELA QUE LA DISMINUCIÓN EN PRECIPITACIÓN Y EL AUMENTO EN LA TEMPERATURA MEDIA, EN EL MES DE MARZO, SON ESTADÍSTICAMENTE SIGNIFICATIVAS. ABRIL Y MAYO TIENE LA MISMA TENDENCIA, AUNQUE NO SON ESTADÍSTICAMENTE SIGNIFICATIVOS. LA CURVA DE DIFERENCIAS INTEGRADAS MUESTRA, INVARIABLEMENTE UNA RELACIÓN INVERSA ENTRE LA TEMPERATURA MEDIA Y LA PRECIPITACIÓN

Studies of New Mesogens: Part II-p-(p’-n-Alkoxycinnamoyloxy)benzylidene-p”-n-butoxyanilines

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