Review-it web application

The purpose of this application is to help people find the business service they seek, read about the service provided, and read the reviews of previous customers and also the comments of the authenticated service provider/business owner. Review-it fills the gap between the service providers and their service reviewers

Synthesis and Biological Evaluation of Novel Resveratrol and Combretastatin A4 Derivatives as Potent Anti-Cancer Agents

Resveratrol has been reported as a potential anticancer agent but cannot be used as an antitumor drug due to its chemical and metabolic instability. We have designed and synthesized 184 novel compounds related to resveratrol in an attempt to produce more potent and drug-like molecules. We have identified a tetrazole analog of resveratrol, ST-145(a) as a lead anticancer agent from the resveratrol analog series of compounds with a GI50 value of less than 10nM against almost all the human cancer cell lines in the National Cancer Institute’s screening panel. In a separate study, we tested the hypothesis that the limited bioavailability of resveratrol, can be improved by synthesizing analogs which would be glucuronidated at a lower rate than resveratrol itself. We demonstrated that ST-05 and ST-12(a) exhibit lower glucuronidation profiles when compared to resveratrol and that these synthesized stilbenoids likely represent useful scaffolds for the design of efficacious resveratrol analogs. We have also initiated a new discovery program to identify selective CB1 and CB2 receptor ligands from a library of novel stilbene scaffolds structurally related to the resveratrol molecule. From the screened resveratrol analogs, two compounds were identified as selective CB2 and CB1 ligands. Compound ST-179 had 47-fold selectivity for CB2 (Ki = 284 nM) compared to CB1, while compound ST-160 was 2-fold selective for CB1 (Ki = 400 nM) compared to the CB2 receptor. These structural analogs have the potential for development as novel cannabinoid therapeutics for treatment of obesity and/or drug dependency. Combretastatin A4 (CA-4) is one of the most potent antiangiogenic and antimitotic agents of natural origin. However, CA-4 suffers from chemical instability due to cis-trans isomerism in solution. To circumvent this problem, we have developed a facile procedure for the synthesis of novel 4,5-diaryl-2H-1,2,3-triazoles as CA-4 analogs to constrain the molecule to its cis-configuration. Twenty three triazoles were prepared as CA-4 analogs and submitted for anticancer screening. Among these CA-4 analogs, ST-467 and ST-145(b) can be considered as lead anticancer agents from this series, and further investigation against various cancer cell types in vivo with this class of compound may provide novel therapeutic avenues for treatment

IRC channel data analysis using Apache Solr

Internet Relay Chat (IRC) was one of the first real-time communication protocols over the internet. It was not designed with any form of Authentication, Authorization and Accounting features. This made IRC channels a place to conduct transactions in complete anonymity. On the other hand with the advent of Big Data we are now able to process large quantities of data in a very short period of time. This research presents a method to use Apache Solr, a text indexing server built on top of Lucene to index and search large quantities of IRC data collected over months from public IRC channels. It even presents a highly scalable approach to monitor public IRC channels by creation of IRC Client Bots which are in turn controlled by a robust IRC Parent Bot. The data thus collected is analyzed by Apache Solr and MS SQL servers and the response times are compared. This research concluded that Apache Solr outperforms MS SQL by a very great margin and such an implementation can be used by digital forensic investigators to monitor and search public IRC channels

Exploring the use of human metrology for biometric recognition

This thesis explores the possibility of incorporating human body measurements in a biometric framework. While metrological features have been used for identifying persons in the late 19th century, there is limited work in automating this process for surveillance applications. We first establish the relevance of using metrological features in biometric systems by studying two anthropometric data-sets (NASA and NHANES). We then propose a technique to automatically extract a subset of these measurements from a video sequence. A robust segmentation technique (HMMF) to detect moving pixels corresponding to human objects is used in the first stage. Next, we use Active Contours to obtain a precise contour of the human body. Finally, we design a technique to extract the measurements of human body, viz., height, width of the head and the torso, from the segmented image. We show that the measurements extracted in this manner bear close resemblance to manual measurements in terms of their pixel count. To validate the procedure outlined here, we extract these measurements from different videos containing human objects and check for consistency across multiple stand-off distances between the subject and the camera. Data pertaining to 9 different individuals (3 video sequences each) was used in this research