A Visual Analytic Environment to Co-locate Peoples' Tweets with City Factual Data

Social Media platforms (e.g., Twitter, Facebook, etc.) are used heavily by public to provide news, opinions, and reactions towards events or topics. Integrating such data with the event or topic factual data could provide a more comprehensive understanding of the underlying event or topic. Targeting this, we present our visual analytics tool, called VC-FaT, that integrates peoples' tweet data regarding crimes in San Francisco city with the city factual crime data. VC-FaT provides a number of interactive visualizations using both data sources for better understanding and exploration of crime activities happened in the city during a period of five years.Comment: 2 page

RP-HPLC Method Development and Validation for the Estimation of Mirabegron in Bulk and Dosage Form

A new, simple, precise, accurate and reproducible Reverse Phase High Performance Liquid Chromatography (RP-HPLC) method for Simultaneous estimation of bulk and pharmaceutical formulations. Separation of Mirabegron was successfully achieve , C18, 250X4.6mm, 5µm or equivalent in an isocratic mode utilizing methanol water (70:30) at pH 5.0 Adjusted to OPA at a flow rate of 1.0ml/min and eluate was monitored at 243nm, with a retention time of 2.584 minutes for Mirabegron. The method was validated and the response was found to be linear in the drug concentration range of 50µg/ml to150 µg/ml for Mirabegron. The values of the correlation coefficient were found to 0.999for Mirabegron. The Limit of Detection(LOD) and Limit of Quantification (LOQ) for Mirabegron were found to be 0.149 and 0.498 respectively. This method was found to be good percentage recovery were found to be 99 indicates that the proposed method is highly accurate. The specificity of the method shows good correlation between retention times of standard with the sample so, the method specifically determines the analyte in the sample without interference from excipients of tablet dosage forms. The method was extensively validated according to International Council for Harmonisation(ICH) guidelines for Linearity, Accuracy, Precision, Specificity an

Particle Size Dependent Gas Sensing Performance of Zno Nanorods based Thick Film Resistors

Pure bulk ZnO was observed to be less sensitive to hazardous, toxic and inflammable gases. As the particle size of the materials get reduced from bulk to nanoscale, the gas sensing performance of pure ZnO was observed to increase crucially. It was also observed that, further decrease in the particle size would leads to decrease in the gas response. The optimized average diameter of ZnO Nanorod / particle size is 12 nm, which exhibits crucial gas response. The disc type ultrasonicated microwave assisted centrifuge technique was used for the synthesis of materials. The dry powders of synthesized materials were transformed into thick films by screen printing technique. Various characterizations techniques were employed to study the surface topography, crystal structure, phase, particle size, etc. effect of the surface nanostructure, different gases, gas concentrations, particle size, long duration for ageing, etc. on the gas response of the samples were studied and discussed. DOI: 10.17762/ijritcc2321-8169.15080

Detecting and Tracking the Spread of Astroturf Memes in Microblog Streams

Online social media are complementing and in some cases replacing person-to-person social interaction and redefining the diffusion of information. In particular, microblogs have become crucial grounds on which public relations, marketing, and political battles are fought. We introduce an extensible framework that will enable the real-time analysis of meme diffusion in social media by mining, visualizing, mapping, classifying, and modeling massive streams of public microblogging events. We describe a Web service that leverages this framework to track political memes in Twitter and help detect astroturfing, smear campaigns, and other misinformation in the context of U.S. political elections. We present some cases of abusive behaviors uncovered by our service. Finally, we discuss promising preliminary results on the detection of suspicious memes via supervised learning based on features extracted from the topology of the diffusion networks, sentiment analysis, and crowdsourced annotations

Emotion Based Music Player

Listening to music affects the human brain activities. Emotion based music player with automated playlist can help users to maintain a particular emotional state. This research proposes an emotion based music player that creates a playlists based on captured photos of the user. Manual sorting of a playlist and annotation of songs, in accordance with the current emotion, is more time consuming and quite tedious. Numerous algorithms have been implemented to automate this process. However, existing algorithms are slow, increase cost of the system by using additional hardware and have quite very less accuracy. This paper presents an algorithm that not only automates the process of generating an audio playlist, but also to classify those songs which are newly added and the main task is to capture current mood of person and to play song accordingly. This enhances the system’s efficiency, faster and automatic. The main goal is to reduce the overall computational time and the cost of the designed system. It also aims at increasing the accuracy of the system. The most important goal is to make change the mood of person if it is a negative one such as sad, depressed. This model is validated by testing the system against user dependent and user independent dataset

Glucosamine HCl-based solid dispersions to enhance the biopharmaceutical properties of acyclovir

The objective of the work presented here was to assess the feasibility of using glucosamine HCl as a solid-dispersion (SD) carrier to enhance the biopharmaceutical properties of a BCS class III/IV drug, acyclovir (ACV). The solid-dispersions of acyclovir and glucosamine HCl were prepared by an ethanol-based solvent evaporation method. The prepared formulations characterized by photomicroscopy, scanning electron microscopy (SEM), differential scanning calorimetry (DSC), Fourier transforms infrared spectrophotometry (FTIR), powder x-ray diffractometry (PXRD) and drug content analysis. The functional characterization of ACV-SD was performed by aqueous solubility evaluation, dissolution studies, fasted versus fed state dissolution comparison, ex vivo permeability, and stability studies. Photomicroscopy and SEM analysis showed different surface morphologies for pure ACV, glucosamine HCl and ACV-SD. The physical-chemical characterization studies supported the formation of ACV-SD. A 12-fold enhancement in the aqueous solubility of ACV was observed in the prepared solid dispersions, compared to pure ACV. Results from in vitro dissolution demonstrated a significant increase in the rate and extent of ACV dissolution from the prepared ACV-SD formulations, compared to pure ACV. The rate and extent of ACV permeability across everted rat intestinal membrane were also found to be significantly increased in the ACV-SD formulations. Under fed conditions, the rate and extent of the in vitro dissolution of ACV from the formulation was appreciably greater compared to fasted conditions. Overall, the results from the study suggest the feasibility of utilizing glucosamine HCl as a solid dispersion carrier/excipient for enhancement of biopharmaceutical properties of acyclovir, and similar drugs with low solubility/permeability characteristics

Relevant Result Generation by Harvesting Web Information

Multimedia question answering approach has been popular to get information online. The answer of the question is provided in the form of the multimedia. Textual answer is not more informative that’s why it will provide the answer in images and video also. Already existing system work only on the narrow domains and it will complex to generalize to handle question. The proposed system does not answer the question directly. It will having the component such as selection of proper pattern of answer, query generation for multimedia search and multimedia data selection and presentation of result. System having the semantic search. Question is ask by the user in the natural language. In question anwer system will check the question by its keywords

FORMULATION AND EVALUATION OF MATRIX TABLET OF VENLAFAXINE HCL BY USING DIRECTLY COMPRESSIBLE CO-PROCESSED EXCIPIENT

Objective: The sustained release of drug from the dosage form is useful especially for achieving controlled plasma level of the drug as well as improving bioavailability. The objective of the present work was to release matrix tablet of Venlafaxine HCl by using directly compressible co-processed Excipient. Methods: Co-processed excipient (Chitosan 88%: eudragit s-100) was prepared in the ratio of 1:1, 1:3, and 1:5 by the solvent evaporation method. The sustained release matrix tablets were prepared by using Co-processed excipient by direct compression and formulate formulations such as F1to F9. The tablets evaluated for various physical parameters. Direct compression method followed by optimization of the evaluation parameters was employed to get the final optimized formulation. Results: The developed Co-processed excipient was characterized for DSC, FTIR, SEM and XRD which confirm the absence of any chemical changes during co-processing. Co-processed excipient prepared in the ratio of 1:5 showed excellent flow properties. Among all formulations, Optimized formulation F9 showed the desired release profile 98.7% for a period of 24 h in phosphate buffer (pH 7.4). The release co-efficient values ‘n' (>0.5) indicated that the drug release followed non fickian anomalous mechanism based on formulation factors. Developed formulations were kept for stability study for three month as per ICH guidelines and found to be stable Conclusion: Developed co-processed excipient showed good drug release retarding property and could be alternate way to overcome the problems associated with single polymer alone. Venlafaxine HCl matrices could be developed with desirable release modulation for a once daily administration