Lipase of Cellulomonas flavigena UNP3 was purified by two-step purification process comprising ammonium sulfate precipitation followed by gel permeation chromatography (GPC). The recovery of lipase after GPC was found to be 1.70% with 20.98-fold increase in specific activity. The molecular weight of lipase protein was found to be 45.2 kDa by SDS-PAGE. Activation energy for p-nitrophenol palmitate (pNPP) hydrolysis was 26.45 kJ mol(-1) , while temperature quotient (Q10 ) was found to be 1.64. The enzyme was found to be stable over wide pH range and thermally stable at 30-40 °C up to 60 min of incubation while exhibited maximum activity at 30 °C with pH 7.0. Vmax , Km , and Kcat for pNPP were found to be 666.71 U ml(-1) , 1.33 mM (pNPP) and 433 min(-1) , respectively. Activation energy for irreversible inactivation Ea(d) of lipase was 64.32 kJ mol(-1) . Thermodynamic parameters of irreversible inactivation of lipase and pNPP hydrolysis were also determined.

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Patel analysed a two-period cross-over design with baseline measurements assuming bivariate normality for the joint distribution of the period responses. In this paper, we propose non-parametric methods for analysing this design, including the use of the Wilcoxon rank sum test to derive the preliminary tests from the baseline measurements. We fit a robust regression line of the treatment response on baseline for each period and compute residuals. We also fit a robust locally weighted regression as an alternative method for computing residuals. Then, following Koch's procedure, we analyse the residuals for testing the significance of the treatment x period interaction and the treatment difference. We provide a numerical example to illustrate the methods.

In clinical trials and behavioral sciences, there exist situations where paired responses are obtained from each subject on an ordinal scale. Existing methods for analyzing such data in a factorial design are reviewed and new methods are developed with a special emphasis on pre- and post-treatment responses. The distribution of a square table is decomposed into successively independent pairs of discordant vectors, and assuming a logistic model, a statistics is computed to measure the shift in the marginal distributions. The approach is similar to McCullagh's approach (1). Two other criteria are proposed, one based on a Lehmann alternative used for comparing two distribution functions and the other based on a proportional odds model. These criteria are applied to the marginal distributions of a square table. For each case, a statistic measuring lack of marginal homogeneity and its variance are computed for each independent square table of a factorial design. Given such statistics, one can estimate a set of linear contrasts and compute its dispersion matrix for making inference. A numerical example is given.

-Internet of Things (IoT) marketplace is swiftly expanding as companies across multiple vertical industries recognize the need for connectivity and the potential transformation enabled through connectivity. In short, the Internet of Things refers to the rapidly growing network of connected objects that are able to collect and exchange data using embedded sensors. NB-IOT (Narrowband -Internet of Things), LoRa, and Sigfox wireless technologies have been getting a good deal of attention globally as the market for wireless matures in light of the prospects for billions of connections. The goal of the LoRa Alliance, LoRaWAN adopters, and SigFox is that mobile network operators adopt their technology for IoT deployments over both city and nationwide low power, wide-area networks (LPWANs). But there are some prominent differences between how each technology plans to achieve this goal and which applications the technology is best suited for.