Clustering of Bootstrap for Web Service Discovery

Web services are accessed using URLs in a distributed environment. WS WSDL document URLs are manually tabulated and clustered which increases the cost and timing for the developer. This paper introduces a new Clustering of URLs (CU) framework for clustering of bootstrap for web service discovery and clustering them in various domains using transfer, filter, spell check and domain set methods. These methods set them under the specific domain or general category. The CU framework is implemented with a sample URLs. The result shows the efficiency of the clustering of WSDL URLs

Phytotoxic Effect to Cockscomb (Celosia cristata L.) with Response of Chlorpyrifos Treatments

The present work was conducted to evaluate the phytotoxic of chlorpyrifos on cockscomb (Celosia cristata L.) plant.  The seeds was exposed different dosage (control, 0.5, 1, 2 and 2.5%) of chlorpyrifos. On the 7th day seed germination percentage were determined, seedling morphological such as shoot length, root length, biomass and photosynthetic pigments like chlorophyll ‘a’ and chlorophyll ‘b’ were examined on 30, 60 and 90 days after treatments. The germination percentage negatively affect with increasing chlorpyrifos level. The morphological and photosynthetic pigments were increases at optimum level (0.5%). Moreover, above the optimum concentration all investigated parameters was decreased with increasing chlorpyrifos level. The obtained results suggest that usage of this insecticide optimum dosage helpful for good agricultural practices

Habitual Booking System for LPG with Leakage and Fire Sensing Sanctuary

The design of a wireless LPG leakage monitoring system is proposed for home safety. The aim of this paper is to monitor for LPG leakage to avoid fire accidents providing house safety feature where security has been an important issue and alerts the consumer about the leak by SMS and as an emergency measure the system will turn off the power supply, while activating the alarm. In this paper we proposed the additional advantage of the system is that it continuously monitors the level of the LPG present in the cylinder using load sensor and if the gas level reaches below the threshold limit of gas around 2kg so that the user can replace the old cylinder with new in time and automatically books the cylinder using a GSM module. The device ensures safety and prevents suffocation and explosion due to gas leakage. We have also included DC battery in the system to operate even when the power goes off due to the power cut

Metastasis-Associated protein 1 is an upstream regulator of DNMT3a and stimulator of insulin-growth factor binding protein-3 in breast cancer.

Despite a recognized role of DNA methyltransferase 3a (DNMT3a) in human cancer, the nature of its upstream regulator(s) and relationship with the master chromatin remodeling factor MTA1, continues to be poorly understood. Here, we found an inverse relationship between the levels of MTA1 and DNMT3a in human cancer and that high levels of MTA1 in combination of low DNMT3a status correlates well with poor survival of breast cancer patients. We discovered that MTA1 represses DNMT3a expression via HDAC1/YY1 transcription factor complex. Because IGFBP3 is an established target of DNMT3a, we investigated the effect of MTA1 upon IGFBP3 expression, and found a coactivator role of MTA1/c-Jun/Pol II coactivator complex upon the IGFBP3 transcription. In addition, MTA1 overexpression correlates well with low levels of DNMT3a which, in turn also correlates with a high IGFBP3 status in breast cancer patients and predicts a poor clinical outcome for breast cancer patients. These findings suggest that MTA1 could regulate the expression of IGFBP3 in both DNMT3a-dependent and -independent manner. Together findings presented here recognize an inherent role of MTA1 as a modifier of DNMT3a and IGFBP3 expression, and consequently, the role of MTA1-DNMT3a-IGFBP3 axis in breast cancer progression

Software and Analysis for Dynamic Voronoi Diagrams in the Hilbert Metric

The Hilbert metric is a projective metric defined on a convex body which generalizes the Cayley-Klein model of hyperbolic geometry to any convex set. In this paper we analyze Hilbert Voronoi diagrams in the Dynamic setting. In addition we introduce dynamic visualization software for Voronoi diagrams in the Hilbert metric on user specified convex polygons

Marker-Assisted Breeding as Next-Generation Strategy for Genetic Improvement of Productivity and Quality: Can It Be Realized in Cotton?

The dawdling development in genetic improvement of cotton with conventional breeding program is chiefly due to lack of complete knowledge on and precise manipulation of fiber productivity and quality. Naturally available cotton continues to be a resource for the upcoming breeding program, and contemporary technologies to exploit the available natural variation are outlined in this paper for further improvement of fiber. Particularly emphasis is given to application, obstacles, and perspectives of marker-assisted breeding since it appears to be more promising in manipulating novel genes that are available in the cotton germplasm. Deployment of system quantitative genetics in marker-assisted breeding program would be essential to realize its role in cotton. At the same time, role of genetic engineering and in vitro mutagenesis cannot be ruled out in genetic improvement of cotton

WIRELESS WATER QUALITY MONITORING AND DETERIORATION PREDICTION SYSTEM

Water is an essential resource in day-to-day life. Pollution and urbanization have led to higher susceptibility of source water to contamination. There is a pressing need to develop a water quality monitoring system to preserve the quality of source water and ultimately safeguard human health. This proposes a low cost, wireless water quality monitoring system, wherein the quality of water stored in overhead tanks is continuously monitored. The quality of water is measured by parameters that are critical quality indicators. The data encompassing these parameters are stored in a Cloud database (in realtime) along with its timestamp. The quality of water is ascertained based on the comparison of the monitored data to standard well-established thresholds. The data, annotated with its timestamp is treated as a time-series. A univariate non-seasonal Auto Regressive Integrated Moving Average (ARIMA) model is employed to forecast individual water quality parameters. The results of forecasting are used to predict water quality deterioration. The model used is found to have mean square errors of 0.001 for pH, 0.076 for temperature and 0.001 for turbidity between the actual and forecasted values

Assesment of Water Contamination Due to Industry Effluents on Noyyal River Basin

The purpose of this study was to assess the water quality of Noyyal river and to understand the impact of anthropogenic activities on the water quality. Water samples were collected from different sites along the river and analyzed for various physical and chemical parameters. The results of the analysis showed that the water quality of Noyyal river was poor, with levels of certain parameters such as pH, electrical conductivity, and total dissolved solids above the limits set. The results of the analysis also showed that the river was polluted due to the discharge of untreated effluents from various industries located in and around the river. The study also showed that the water quality of Noyyal river was deteriorating due to the anthropogenic activities in the catchment area. The results of this study can be used to develop strategies to improve the water quality of Noyyal river and to protect the catchment area from further degradation

Chitosan complements entrapment of silicon inside nitrogen doped carbon to improve and stabilize the capacity of Li-ion batteries

Abstract A facile strategy to entrap milled silicon (m-Si) particles using nitrogen-doped-carbon (N-C@m-Si) to overcome the dramatic volume changes in Si during intercalation of lithium ions and to improve its electronic conductivity is reported here. The only natural nitrogen containing biomaterial alkaline polysaccharide, i.e., chitosan, is used as the carbon source. Simple hydrothermal technique followed by a subsequent carbonization process is used to synthesize N-C and N-C@m-Si particles. N-C@m-Si exhibited significantly improved electrochemical performance as compared to bare m-Si, which is confirmed by the obtained discharge capacity of 942.4 mAh g−1 and columbic efficiency of 97% after 50 cycles at 0.1C rate. With regard to the N-C electrodes, the obtained discharge capacity of 485.34 mAh g−1 and columbic efficiency of 99.78%, after 50 cycles at 0.1C rate is superior to the commercial graphite electrodes. The solid electrolyte interphase (SEI) layer that formed over m-Si and N-C@m-Si electrodes is characterized using X-ray photoelectron spectroscopy. Compared to the SEI layer that formed over m-Si electrode after 10 charge-discharge cycles, the N-C@m-Si electrode had a stable lithium fluoride and carbonate species. Brief reaction mechanisms, representing the formation of different species in the SEI layer, is derived to explain its behavior during the electrochemical processes