A Clustering Based User-Centered (CBUC) Approach for Integrating Social Data into Groups of Interest

Social web sites by means of huge database websites like Facebook, Twitter and, Linked have been becomes a very important task for day to day life. Thousands and millions of social users are extremely linked from each other to these social websites in favor of networking, conversing, distributing, and sharing by means of each other. Social network sites contain consequently develop into a great source of contents of interest, part of which might reduce into the scope of interests of a known group. Therefore no well-organized solution has been proposed in recent works for a grouping of social users depending on their interest’s information, particularly when they are confined by and speckled across diverse social network sites. Clustering Based User-Centered (CBUC) approach is proposed for integrating social data into groups of interests. Proposed CBUC approach follows the procedure of Modified Fuzzy C Means (MFCM) clustering for social grouping of social data user into different group based on their searching interest. This CBUC approach allows users grouping of user social data from various social network sites such as Facebook, Twitter, and LinkedIn by means of their respective groups of interest. CBUC approach the users are clustered by converting of individual social data interest into fuzzification value and verified using the fuzzy objective function. Additional, to reduce the number of iterations, the proposed CBUC approach, MFCM initializes the centroid by means of dist-max initialization algorithm earlier than the execution of MFCM algorithm iteratively. In this approach the users are also capable to personalize their sharing settings and interests contained by their individual groups related to their own preferences. CBUC approach makes it potential in the direction of aggregate social information of the group’s members and extracts from these data the information appropriate to the group's subject of interests. Furthermore, it follows a CBUC design permitting each member in the direction of personalize his/her sharing situation and interests surrounded by their individual groups

Bio synthesis, Characterization of ZnO Nanoparticles from Scoparia dulcis L. plant extract and its in-vitro Antioxidant, Acetylcholinesterase Activity

The current investigation is focused on the use of green synthesis methods for zinc oxide nanoparticles (ZnO NPs) from Scoparia dulcis L. extract (SDE). SDE-mediated ZnO NPs (SDE-ZnO-NPs) were made using a simple and eco-friendly method that required little reaction time and calcinations temperature. UV-Vis, FTIR, X-ray powder diffraction, SEM, TEM & EDAX were used into characterizes the skeletal and synthetic properties concerning biosynthesized ZnO nonmaterial. The UV–Visible spectroscopy absorption peak for SDE-ZnO-NPs was found to be at 380 nm, confirming the production of ZnO NPs. The FTIR spectrum also revealed bioactive functional groups as well as metal-oxygen groups. Synthesized ZnO NPs had a rod shape in 200 nm, according to TEM examination. The Zn and O in the produced ZnO NPs were approved by the EDAX analysis. The XRD results revealed that it had a crystal structure that was similar to SDE-ZnO-NPs. The dose-related Acetylcholinesterase inhibitory action of SDE-ZnO NPs was determined utilizing the Ellman’s test. AChE activity of the synthesized nanoparticles showed potential inhibitory activity with IC50 values of 75.34 µg/mL. The antioxidant activity was investigated the biosynthesized ZnO-NPs using DPPH, ABTS assay

Ground and surface water quality assessment of Palladam Taluk using Geographical Information System and Modified National Sanitation Foundation -Water Quality Index

In this work, the assessment of surface and ground water quality of Palladam Taluk, Tiruppur, district, Tamil Nadu, India were carried out using Geographical Information System (GIS) and Modified National Sanitation Foundation -Water Quality Index (MNSF-WQI). Four samples from surface and twenty seven samples from ground water sources were taken from Palladam Taluk, Tiruppur District. In the current study, the surface and ground water samples were analysed for temperature, pH, dissolved oxygen (DO), electrical conductivity (EC), biological oxygen demand (BOD), turbidity, total dissolved solids (TDS), total hardness (TH), faecal coliforms (FC), total phosphate (TP), total nitrate (TN), chlorides (Cl-), sodium (Na+) and fluoride (F-) ions to investigate the suitability of surface and ground water for drinking and agricultural purposes through Geographic information system (GIS) and modified national sanitation foundation water quality index (MNSF-WQI) technique. The concentrations of TH, TDS, Cl- and Na+ were observed to be above the desirable limit of World Health Organization (WHO) guidelines and Bureau of Indian Standards (BIS). whereas F-, BOD, DO, EC, TP, TN, FC and temperature were within the acceptable limits. The GIS-based WQI map analysis indicated that 45% of the study area having good water quality index and the remaining area showed medium quality water. Dyeing and textile industries in the study area are responsible for deteriorating the quality to medium quality of water which was not appropriate for direct utilization and needed prior treatment. There is no detailed report on assessment of the surface and ground water quality of Palladam Taluk in Tamil Nadu using GIS and MNSF-WQI techniques

Antidandruff activity of Cassia auriculata and Cassia alata through fatty acids mediated inhibition of Malassezia furfur

Susceptibility of Malassezia furfur to certain medium chain fatty acids shed light onto novel strategies to control dandruff. This study explored antidandruff activity of the fatty acids and other bioactive compounds from flowers of Cassia auriculata and Cassia alata. The idea was supplementing the growth medium with fatty acids which are inhibitory to Malassezia so that plant-based antidandruff formulations could be developed based on the results. Chloroform and ethanolic flower extracts were tested there in vitro efficacy against M. furfur and the potential antidandruff compounds were identified by gas chromatography-mass spectrophotometry (GC-MS). Minimum inhibitory concentrations were determined for both the extracts and IC50 values of 50 and 88 µM for chloroform extract of C. auriculata and C. alata were recorded. For ethanol extract, IC50 values of 75 and 70 µM were exhibited by C. auriculata and C. alata, respectively. Inhibition of M. furfur through fatty acids from Cassia is the first report, and it is possible to include specific fatty acids in the growth media to inhibit the growth of Malassezia which could be later served as lead molecules in antidandruff formulations. Further, the presence of citronellol, pinitol, anthracenedione and chrysine in Cassia flower extracts and their antidandruff activity reported in this study needed further research on those compounds to formulate effective treatment of Malassezia associated diseases

Dominant role of solvent polarity in the reduction kinetics of cobalt(III)-ammine complex in mixed solvents

1040-1043Outer-sphere electron transfer reaction between Co(NH3)63+ and Fe(CN)64- has been studied as a function of relative permittivity of binary solvent mixtures of water-1,4-dioxane (5-30% (v/v) organic cosolvent). The electron transfer rate constants (ket) increase with increase in  mole fraction (x2)  of 1,4-dioxane in  the mixture. The estimated rate constants have been linearly related to the reciprocal of relative permittivity of the medium (log ket versus 1/ɛr).  They have also been correlated with the Grunwald Wistein empirical parameter, YGW, and Swain's polarity term (A+B). The results indicate the solvent participation in the formation  and stability of ion-pair  from  Co(NH3)63+  and Fe(CN)64- leading to  electron transfer.  The rate constants have also been subjected to bi-and tri-parametric analyses to understand the specific and non-specific influence  of binary solvent mixtures on reaction rates

Effects of Different Precursors on Particle Size and Optical–Magnetic Properties of ZnCr2O4 Nanoparticles Prepared by Microwave-Assisted Method

Zinc chromite (ZnCr2O4)-based nanoparticles have various exceptional properties that make them suitable for use in a variety of fields, including chemistry, medicine, energy, the environment, industry, and information. In this work, nanocrystalline ZnCr2O4 has been effectively synthesized with a distinct fuel by microwave-assisted solution combustion method. The XRD results reveal a single-phase high pure formation of nanoscale ZnCr2O4. The ZnCr2O4 samples are further characterized by scanning electron microscopy, transmission electron microscope, UV–Vis absorption spectroscopy, and vibrating sample magnetometer. The results reveal that modifying the fuel precursors in the combustion technique played an impact on the particle size, bandgap energy, magnetic properties, and reaction time of the ZnCr2O4 preparation. The average particle size of the various samples ranged from 18.6 to 13.9 nm with various fuels. The significance of this study is the tuning effect of optical and magnetic properties of ZnCr2O4 by using various fuel precursors