Geometry of good sets in n-fold Cartesian product

We propose here a multidimensional generalisation of the notion of link introduced in our previous papers and we discuss some consequences for simplicial measures and sums of function algebras.Comment: 17 pages, no figures, no table

ANTIMICROBIAL ACTIVITY OF STREPTOMYCES VARIABILIS STRAIN-VITUMVB03 ISOLATED FROM KANYAKUMARI MARINE SEDIMENTS

Objective: This study was focused on an evaluation of antimicrobial activity of actinobacterial isolated from Kanyakumari marine sediments.Methods: This study includes sample collection from Kanyakumari beach, followed by isolation of marine actinobacteria, screening for antibacterial activity and antifungal activity. Finally, the most active isolate was identified using 16S rRNA sequencing. Results: Marine actinobacteria are one of the leading microbes of the ocean known for producing excellent secondary metabolites and having a broad spectrum of anti-microbial activity, hence they are very important from an industrial point of view. The marine sediment sample used was collected from Kanyakumari beach, in the month of July, falling in the latitudinal range of 8.5074°N and in the longitude of 76.9730°E. A total of 8 actinobacterial colonies were isolated by spread plate technique on Actinomycetes isolation agar, Kuster's agar and Starch casein agar. The isolate cultures were designated as UST1- UST8. Among them, UST3 showed a maximum zone of inhibition against clinical pathogens Salmonella typhi and Aspergillus niger with a zone of inhibition of 22mm and 20mm respectively. In solvent extraction study ethyl acetate and hexane was found as best solvents for extraction. Potential isolate UST3 was identified as Streptomyces variabilis using morphological studies and 16S rRNA sequencing. Potential strain was submitted as Streptomyces variabilis- VITUMVB03Conclusion:  Results obtained in this study concluded that marine actinobacteria have broad-spectrum antimicrobial activity and can be used in the pharmaceutical industry.Keywords: Anti-fungal activity, Anti-bacterial activity, Salmonella typhi, Aspergillus niger, Streptomyces variabili

On control of the false discovery rate under no assumption of dependency

Abstract Most false discovery rate (FDR) controlling procedures require certain assumptions on the joint distribution of p-values

Contemporary Developments in Behavioural Finance

Investors need not be rational for markets to be efficient. The axiom of efficient market hypothesis that it is not possible to earn excess profits because the available information gets factored in instantaneously fell flat due to influence of human behaviour on the investment process. Exuberance of investors escalates asset values unduly on the back of financial irrationality. The intersection of human behaviour and the investment decisions has since evolved as ‘behavioural finance. Research demonstrates that investment decision-making process is more human than analytical, owing to behavioural biases. Recent studies in prospect theory and heuristic decision-making process focused more on investor behaviour causing market anomalies. At a time when irrational behaviour is demonstrated not only in security markets but also in other markets such as property, bullion and commodities, this paper explores the contemporary research in behavioural finance. Keywords: Behavioural finance, Capital market, Financial irrationality, Irrational behaviour. JEL Classifications: M10, M20, M5

Development of a high resolution land surface dataset for the South Asian monsoon region

In this study, we report the development of a high resolution land surface dataset for the South Asian monsoon region for studies on land surface processes, and land and atmosphere coupling. The high resolu- tion land data assimilation system was used to develop the land surface dataset utilizing TRMM rainfall and ECMWF atmospheric variables as forcing parameters. The dataset was developed at a spatial resolution of 0.5° and temporal resolution of 1 h and spans a period of 6 years, i.e. 1 January 2005 to 31 December 2010. The major highlights in the development of the present dataset are higher spatial and temporal resolution of land surface parameters, use of sub-daily forcing parameters including rainfall, use of MODIS land-use data in lieu of USGS land-use data and weekly varying vegetation fraction instead of monthly vegetation climatology. A comparison of soil moisture and soil temperature with limited surface observations of the IMD suggests reasonable reliability of the land surface data. The model sensible heat flux data are compared with in situ measurements at Ranchi and MEERA reanalysis data. The sensitivity analysis shows that the land surface data are sensitive to rainfall and green vegetation cover data used as the forcing parameters. The dataset has been used to discuss the variations of land surface processes associated with active and break spells and a severe heat wave observed in 2009. The present dataset will be useful for many applications, including initializing numerical models for weather prediction. This high resolution land surface dataset is available for research on request

A note on the generalized maximum likelihood estimator in partial Koziol-Green model

. (2006). A note on the generalized maximum likelihood estimator in partial Koziol-Green model. Statistics and Probability Letters, 76(8), 813 -820. doi: 10.1016Letters, 76(8), 813 -820. doi: 10. /j.spl.2005 The proportional hazards model with partially informative censoring has been studied by Gather and Pawlitschko [1998. Metrika 48, 189-207] and their partial Abdushukurov-Cheng-Lin (PACL) estimator is a nonparametric estimator of the underlying survival function of the model. Zhang and Rao [2004. Metrika 59, 125-136] have derived the generalized maximum likelihood estimator of the underlying survival function using Kiefer-Wolfowitz theory. In this note, we show that these two estimators are asymptotically equivalent

Studies on atmospheric gravity wave activity in the troposphere and lower stratosphere over a tropical station at Gadanki

MST radars are powerful tools to study the mesosphere, stratosphere and troposphere and have made considerable contributions to the studies of the dynamics of the upper, middle and lower atmosphere. Atmospheric gravity waves play a significant role in controlling middle and upper atmospheric dynamics. To date, frontal systems, convection, wind shear and topography have been thought to be the sources of gravity waves in the troposphere. All these studies pointed out that it is very essential to understand the generation, propagation and climatology of gravity waves. In this regard, several campaigns using Indian MST Radar observations have been carried out to explore the gravity wave activity over Gadanki in the troposphere and the lower stratosphere. The signatures of the gravity waves in the wind fields have been studied in four seasons viz., summer, monsoon, post-monsoon and winter. The large wind fluctuations were more prominent above 10 km during the summer and monsoon seasons. The wave periods are ranging from 10 min-175 min. The power spectral densities of gravity waves are found to be maximum in the stratospheric region. The vertical wavelength and the propagation direction of gravity waves were determined using hodograph analysis. The results show both down ward and upward propagating waves with a maximum vertical wave length of 3.3 km. The gravity wave associated momentum fluxes show that long period gravity waves carry more momentum flux than the short period waves and this is presented