8 research outputs found

    Jaynish Patel Interview

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    Jaynish Patel (Class of 1993) was interviewed by Valeria Reynosa via the Zoom internet-based video conferencing software on June 9, 2021. He was born in India and immigrated to the United States when he was one year old in the 1970s. He primarily grew up in Garland, Texas, where he graduated from North Garland High School. Dr. Patel decided to pursue a degree in Biology because he wanted to go medical school. He was involved in the Indian Student Association, science clubs, which helped him enjoy his time at SMU. During his interview, he described how SMU introduced him to diverse communities, and how the Indian community continued to grow there since his father attended the university. After graduating from SMU, he attended UT Health in San Antonio, Texas, and then returned to Dallas in 1997. He did his residency at UT Southwestern in Dallas, and then acquired a fellowship in interventional radiology at Baylor Medical Center. At the time of the interview, Dr. Patel practiced interventional radiology as a private doctor at Baylor Scott and White Hospital

    Design and Implementation of Heuristic based Phishing detection technique

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    In today’s world, the internet has brought a tremendous change in e-commerce aspect of people’s lives. However, it is prone to a wide variety of security attacks. One of the most dangerous security threats is phishing. Phishing is a nontrivial problem involving deceptive emails and webpages that trick unsuspecting users into willingly revealing their confidential information. In this project, various phishing detection techniques are discussed and one technique based heuristic rule are implemented to detect the phishing URL. The different features are extracted from the given URL. The feature groups include address-bar related features, abnormal- based features, HTML – JavaScript based features and domain based features. The different heuristic rules are implemented and decision is made based on the output of the heuristic rules. Furthermore, different weightage is also assigned to each heuristic rule to detect the URL correctly. The API id developed in Java to classify URL as phishing and Legitimate. To test the application, a dataset from Alexa and Phish tank was collected. An automated script was written, which takes the URL in the JSON format and send to API running on some server and gets the Output in JSON format as Legitimate or Phishing along with the score.Graduat

    Evaluation of the PowerSeq™ Auto System by Massively Parallel Sequencing

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    Massively parallel sequencing (MPS) is potential technology for STR typing by forensic laboratories and that some of the CE-based limitations may be overcome by MPS. In this study, the PowerSeq Auto System (Promega) containing 23 STR loci and Amelogenin, was evaluated by MPS. The PCR products were size selected using the MinElute PCR Purification Kit (Qiagen). DNA libraries were normalized, pooled and sequenced on the MiSeq (Illumina; 2 x 250 bp). This multiplex STR system was tested for sensitivity of detection based on input DNA. The result showed that a broad range of the quantity of PCR products could be used for library preparation. In mixture study, the partial profile of minor contributor could be detected up to 19:1 mixture. These studies indicate that PowerPlex Fusion STR system and the Illumina MiSeq system can generate reliable DNA profiles with the types of samples and amounts of input DNA that are relevant to forensic analyses

    Massively parallel sequencing of short tandem repeats—Population data and mixture analysis results for the PowerSeq™ system

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    AbstractCurrent forensic DNA analysis predominantly involves identification of human donors by analysis of short tandem repeats (STRs) using Capillary Electrophoresis (CE). Recent developments in Massively Parallel Sequencing (MPS) technologies offer new possibilities in analysis of STRs since they might overcome some of the limitations of CE analysis. In this study 17 STRs and Amelogenin were sequenced in high coverage using a prototype version of the Promega PowerSeq™ system for 297 population samples from the Netherlands, Nepal, Bhutan and Central African Pygmies. In addition, 45 two-person mixtures with different minor contributions down to 1% were analysed to investigate the performance of this system for mixed samples. Regarding fragment length, complete concordance between the MPS and CE-based data was found, marking the reliability of MPS PowerSeq™ system. As expected, MPS presented a broader allele range and higher power of discrimination and exclusion rate. The high coverage sequencing data were used to determine stutter characteristics for all loci and stutter ratios were compared to CE data. The separation of alleles with the same length but exhibiting different stutter ratios lowers the overall variation in stutter ratio and helps in differentiation of stutters from genuine alleles in mixed samples. All alleles of the minor contributors were detected in the sequence reads even for the 1% contributions, but analysis of mixtures below 5% without prior information of the mixture ratio is complicated by PCR and sequencing artefacts

    Developmental validation of the PowerPlex® ESI 16/17 Fast and PowerPlex® ESX 16/17 Fast Systems

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    AbstractThe PowerPlex® ESI 16 Fast, ESI 17 Fast, ESX 16 Fast, and ESX 17 Fast Systems represent faster cycling versions (50min or less) of the PowerPlex® ESI and ESX Systems released by Promega in 2009 to accommodate the ENFSI and EDNAP groups’ call for new STR multiplexes for Europe. In addition to amplification of purified DNA samples, these new faster cycling systems allow for direct amplification from single-source blood and buccal samples deposited on FTA® and nonFTA paper as well as from SwabSolution™ extracts of buccal swabs without the need for purification and quantitation. There are no changes to the autosomal primer pair sequences in the PowerPlex® ESI Fast and ESX Fast Systems compared to the original multiplexes, and full concordance at all autosomal loci and amelogenin was observed with data generated previously with the original PowerPlex® ESI and ESX Systems. This paper describes the developmental validation study performed on these new fast systems following guidelines issued by the Scientific Working Group on DNA Analysis Methods (SWGDAM) and those of the DNA Advisory Board (DAB). Validation data demonstrate that these systems are sensitive for detecting low levels of DNA while also being capable of generating robust profiles from the high amount of input DNA present in direct-amplification samples. These systems are also tolerant to both high concentrations of PCR inhibitors as well as to slight variations in the final concentration of master mix and primer pair present in the amplification reaction that might be encountered due to pipetting error. The results of this validation study demonstrate that these systems may be used on multiple thermal cyclers and capillary electrophoresis platforms
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