Search results for: Monojit Das

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Das</title> <meta name="description" content="Search results for: Monojit Das"> <meta name="keywords" content="Monojit Das"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler ml-auto" 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id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="Monojit Das"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 2</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Monojit Das</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Host-Assisted Delivery of a Model Drug to Genomic DNA: Key Information From Ultrafast Spectroscopy and in Silico Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ria%20Ghosh">Ria Ghosh</a>, <a href="https://publications.waset.org/abstracts/search?q=Soumendra%20Singh"> Soumendra Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Dipanjan%20Mukherjee"> Dipanjan Mukherjee</a>, <a href="https://publications.waset.org/abstracts/search?q=Susmita%20Mondal"> Susmita Mondal</a>, <a href="https://publications.waset.org/abstracts/search?q=Monojit%20Das"> Monojit Das</a>, <a href="https://publications.waset.org/abstracts/search?q=Uttam%20Pal"> Uttam Pal</a>, <a href="https://publications.waset.org/abstracts/search?q=Aniruddha%20Adhikari"> Aniruddha Adhikari</a>, <a href="https://publications.waset.org/abstracts/search?q=Aman%20Bhushan"> Aman Bhushan</a>, <a href="https://publications.waset.org/abstracts/search?q=Surajit%20Bose"> Surajit Bose</a>, <a href="https://publications.waset.org/abstracts/search?q=Siddharth%20Sankar%20Bhattacharyya"> Siddharth Sankar Bhattacharyya</a>, <a href="https://publications.waset.org/abstracts/search?q=Debasish%20Pal"> Debasish Pal</a>, <a href="https://publications.waset.org/abstracts/search?q=Tanusri%20Saha-Dasgupta"> Tanusri Saha-Dasgupta</a>, <a href="https://publications.waset.org/abstracts/search?q=Maitree%20Bhattacharyya"> Maitree Bhattacharyya</a>, <a href="https://publications.waset.org/abstracts/search?q=Debasis%20Bhattacharyya"> Debasis Bhattacharyya</a>, <a href="https://publications.waset.org/abstracts/search?q=Asim%20Kumar%20Mallick"> Asim Kumar Mallick</a>, <a href="https://publications.waset.org/abstracts/search?q=Ranjan%20Das"> Ranjan Das</a>, <a href="https://publications.waset.org/abstracts/search?q=Samir%20Kumar%20Pal"> Samir Kumar Pal</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Drug delivery to a target without adverse effects is one of the major criteria for clinical use. Herein, we have made an attempt to explore the delivery efficacy of SDS surfactant in a monomer and micellar stage during the delivery of the model drug, Toluidine Blue (TB) from the micellar cavity to DNA. Molecular recognition of pre-micellar SDS encapsulated TB with DNA occurs at a rate constant of k1 ~652 s 1. However, no significant release of encapsulated TB at micellar concentration was observed within the experimental time frame. This originated from the higher binding affinity of TB towards the nano-cavity of SDS at micellar concentration which does not allow the delivery of TB from the nano-cavity of SDS micelles to DNA. Thus, molecular recognition controls the extent of DNA recognition by TB which in turn modulates the rate of delivery of TB from SDS in a concentration-dependent manner. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DNA" title="DNA">DNA</a>, <a href="https://publications.waset.org/abstracts/search?q=drug%20delivery" title=" drug delivery"> drug delivery</a>, <a href="https://publications.waset.org/abstracts/search?q=micelle" title=" micelle"> micelle</a>, <a href="https://publications.waset.org/abstracts/search?q=pre-micelle" title=" pre-micelle"> pre-micelle</a>, <a href="https://publications.waset.org/abstracts/search?q=SDS" title=" SDS"> SDS</a>, <a href="https://publications.waset.org/abstracts/search?q=toluidine%20blue" title=" toluidine blue"> toluidine blue</a> </p> <a href="https://publications.waset.org/abstracts/154090/host-assisted-delivery-of-a-model-drug-to-genomic-dna-key-information-from-ultrafast-spectroscopy-and-in-silico-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/154090.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">113</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Mobile Crowdsensing Scheme by Predicting Vehicle Mobility Using Deep Learning Algorithm</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Monojit%20Manna">Monojit Manna</a>, <a href="https://publications.waset.org/abstracts/search?q=Arpan%20Adhikary"> Arpan Adhikary</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In Mobile cloud sensing across the globe, an emerging paradigm is selected by the user to compute sensing tasks. In urban cities current days, Mobile vehicles are adapted to perform the task of data sensing and data collection for universality and mobility. In this work, we focused on the optimality and mobile nodes that can be selected in order to collect the maximum amount of data from urban areas and fulfill the required data in the future period within a couple of minutes. We map out the requirement of the vehicle to configure the maximum data optimization problem and budget. The Application implementation is basically set up to generalize a realistic online platform in which real-time vehicles are moving apparently in a continuous manner. The data center has the authority to select a set of vehicles immediately. A deep learning-based scheme with the help of mobile vehicles (DLMV) will be proposed to collect sensing data from the urban environment. From the future time perspective, this work proposed a deep learning-based offline algorithm to predict mobility. Therefore, we proposed a greedy approach applying an online algorithm step into a subset of vehicles for an NP-complete problem with a limited budget. Real dataset experimental extensive evaluations are conducted for the real mobility dataset in Rome. The result of the experiment not only fulfills the efficiency of our proposed solution but also proves the validity of DLMV and improves the quantity of collecting the sensing data compared with other algorithms. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mobile%20crowdsensing" title="mobile crowdsensing">mobile crowdsensing</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=vehicle%20recruitment" title=" vehicle recruitment"> vehicle recruitment</a>, <a href="https://publications.waset.org/abstracts/search?q=sensing%20coverage" title=" sensing coverage"> sensing coverage</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20collection" title=" data collection"> data collection</a> </p> <a href="https://publications.waset.org/abstracts/163900/mobile-crowdsensing-scheme-by-predicting-vehicle-mobility-using-deep-learning-algorithm" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163900.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">77</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> 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Search results for: Monojit Das