Search results for: Kushla Pathania

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Pathania</title> <meta name="description" content="Search results for: Kushla Pathania"> <meta name="keywords" content="Kushla Pathania"> <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 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action="https://publications.waset.org/abstracts/search"> <div 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="Kushla Pathania"> <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> 3</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: Kushla Pathania</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> Maternal, Fetal and Neonatal Outcomes of Elective Versus Emergency Cesarean Deliveries</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Poonam%20Chouhan">Poonam Chouhan</a>, <a href="https://publications.waset.org/abstracts/search?q=Rama%20Thakur"> Rama Thakur</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20J.%20Mahajan"> R. J. Mahajan</a>, <a href="https://publications.waset.org/abstracts/search?q=Kushla%20Pathania"> Kushla Pathania</a>, <a href="https://publications.waset.org/abstracts/search?q=Mehnaz%20Kumar"> Mehnaz Kumar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Cesarean sections are associated with short- and long-term risks and affect the health of the woman, her child, and future pregnancies. We conducted a study to compare Maternal, fetal, and neonatal elective versus emergency cesarean deliveries in a tertiary care center. Material & Methods: This was a cross-sectional comparative hospital-based study conducted at Kamla Nehru State Hospital for the mother and Child, Department of Obstetrics and Gynecology, Indira Gandhi Medical College, Shimla, from June 1, 2020, to May 31ˢᵗ, 2021). A total of 200 consenting participants (100 participants undergoing elective cesarean section & 100 participants undergoing emergency cesarean section) were enrolled. The analysis was performed using the statistical package for social sciences (SPSS) version 21. Results: Antenatal complications were more in women who had an emergency cesarean section (95%) as compared to those who had an elective cesarean section (46%) (p=0.0076). 26.5% of women had fetal complications, and out of them, 92.4% (49/53) underwent emergency cesarean section. IUGR was diagnosed in 8% of women, out of them, 56.2% had elective cesarean section & 43.8% had an emergency cesarean section. Malpresentation other than breech presentation were present in 3.5% (7/200) of women. Six (3%) women had cesarean section for macrosomia. Of these, 66.7% (4/6) had elective cesarean section & 33.3% had emergency cesarean section. 23% (46/200) neonates required NICU admission, and 5% (10/200) had transient tachypnoea of new-born (TTNB). Conclusion: Our study concluded that maternal and fetal Complications of an emergency cesarean are more as compared to a planned elective cesarean. An elective cesarean conducted well in time will prevent an emergency cesarean delivery and its related complications. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=maternal" title="maternal">maternal</a>, <a href="https://publications.waset.org/abstracts/search?q=fetal" title=" fetal"> fetal</a>, <a href="https://publications.waset.org/abstracts/search?q=neonatal" title=" neonatal"> neonatal</a>, <a href="https://publications.waset.org/abstracts/search?q=complications" title=" complications"> complications</a>, <a href="https://publications.waset.org/abstracts/search?q=cesareans" title=" cesareans"> cesareans</a> </p> <a href="https://publications.waset.org/abstracts/164547/maternal-fetal-and-neonatal-outcomes-of-elective-versus-emergency-cesarean-deliveries" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/164547.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">88</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">2</span> Computer Countenanced Diagnosis of Skin Nodule Detection and Histogram Augmentation: Extracting System for Skin Cancer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=S.%20Zith%20Dey%20Babu">S. Zith Dey Babu</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Kour"> S. Kour</a>, <a href="https://publications.waset.org/abstracts/search?q=S.%20Verma"> S. Verma</a>, <a href="https://publications.waset.org/abstracts/search?q=C.%20Verma"> C. Verma</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20Pathania"> V. Pathania</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Agrawal"> A. Agrawal</a>, <a href="https://publications.waset.org/abstracts/search?q=V.%20Chaudhary"> V. Chaudhary</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Manoj%20Puthur"> A. Manoj Puthur</a>, <a href="https://publications.waset.org/abstracts/search?q=R.%20Goyal"> R. Goyal</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Pal"> A. Pal</a>, <a href="https://publications.waset.org/abstracts/search?q=T.%20Danti%20Dey"> T. Danti Dey</a>, <a href="https://publications.waset.org/abstracts/search?q=A.%20Kumar"> A. Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Wadhwa"> K. Wadhwa</a>, <a href="https://publications.waset.org/abstracts/search?q=O.%20Ved"> O. Ved</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Skin cancer is now is the buzzing button in the field of medical science. The cyst's pandemic is drastically calibrating the body and well-being of the global village. Methods: The extracted image of the skin tumor cannot be used in one way for diagnosis. The stored image contains anarchies like the center. This approach will locate the forepart of an extracted appearance of skin. Partitioning image models has been presented to sort out the disturbance in the picture. Results: After completing partitioning, feature extraction has been formed by using genetic algorithm and finally, classification can be performed between the trained and test data to evaluate a large scale of an image that helps the doctors for the right prediction. To bring the improvisation of the existing system, we have set our objectives with an analysis. The efficiency of the natural selection process and the enriching histogram is essential in that respect. To reduce the false-positive rate or output, GA is performed with its accuracy. Conclusions: The objective of this task is to bring improvisation of effectiveness. GA is accomplishing its task with perfection to bring down the invalid-positive rate or outcome. The paper's mergeable portion conflicts with the composition of deep learning and medical image processing, which provides superior accuracy. Proportional types of handling create the reusability without any errors. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=computer-aided%20system" title="computer-aided system">computer-aided system</a>, <a href="https://publications.waset.org/abstracts/search?q=detection" title=" detection"> detection</a>, <a href="https://publications.waset.org/abstracts/search?q=image%20segmentation" title=" image segmentation"> image segmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=morphology" title=" morphology"> morphology</a> </p> <a href="https://publications.waset.org/abstracts/133362/computer-countenanced-diagnosis-of-skin-nodule-detection-and-histogram-augmentation-extracting-system-for-skin-cancer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/133362.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">151</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> Evaluating the Potential of a Fast Growing Indian Marine Cyanobacterium by Reconstructing and Analysis of a Genome Scale Metabolic Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ruchi%20Pathania">Ruchi Pathania</a>, <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20Ahmad"> Ahmad Ahmad</a>, <a href="https://publications.waset.org/abstracts/search?q=Shireesh%20%20Srivastava"> Shireesh Srivastava</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Cyanobacteria is a promising microbe that can capture and convert atmospheric CO₂ and light into valuable industrial bio-products like biofuels, biodegradable plastics, etc. Among their most attractive traits are faster autotrophic growth, whole year cultivation using non-arable land, high photosynthetic activity, much greater biomass and productivity and easy for genetic manipulations. Cyanobacteria store carbon in the form of glycogen which can be hydrolyzed to release glucose and fermented to form bioethanol or other valuable products. Marine cyanobacterial species are especially attractive for countries with scarcity of freshwater. We recently identified a marine native cyanobacterium Synechococcus sp. BDU 130192 which has good growth rate and high level of polyglucans accumulation compared to Synechococcus PCC 7002. In this study, firstly we sequenced the whole genome and the sequences were annotated using the RAST server. Genome scale metabolic model (GSMM) was reconstructed through COBRA toolbox. GSMM is a computational representation of the metabolic reactions and metabolites of the target strain. GSMMs construction through the application of Flux Balance Analysis (FBA), which uses external nutrient uptake rates and estimate steady state intracellular and extracellular reaction fluxes, including maximization of cell growth. The model, which we have named isyn942, includes 942 reactions and 913 metabolites having 831 metabolic, 78 transport and 33 exchange reactions. The phylogenetic tree obtained by BLAST search revealed that the strain was a close relative of Synechococcus PCC 7002. The flux balance analysis (FBA) was applied on the model iSyn942 to predict the theoretical yields (mol product produced/mol CO₂ consumed) for native and non-native products like acetone, butanol, etc. under phototrophic condition by applying metabolic engineering strategies. The reported strain can be a viable strain for biotechnological applications, and the model will be helpful to researchers interested in understanding the metabolism as well as to design metabolic engineering strategies for enhanced production of various bioproducts. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cyanobacteria" title="cyanobacteria">cyanobacteria</a>, <a href="https://publications.waset.org/abstracts/search?q=flux%20balance%20analysis" title=" flux balance analysis"> flux balance analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=genome%20scale%20metabolic%20model" title=" genome scale metabolic model"> genome scale metabolic model</a>, <a href="https://publications.waset.org/abstracts/search?q=metabolic%20engineering" title=" metabolic engineering"> metabolic engineering</a> </p> <a href="https://publications.waset.org/abstracts/102140/evaluating-the-potential-of-a-fast-growing-indian-marine-cyanobacterium-by-reconstructing-and-analysis-of-a-genome-scale-metabolic-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/102140.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">158</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 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Search results for: Kushla Pathania