334 research outputs found

    AN INTEGRATED NETWORK ANALYSIS OF PSORIASIS: A NOVEL APPROACH TO DISEASE PATHOLOGY

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    Objective: Psoriasis is a chronic autoimmune disorder. At present, about 2% of human population is affected by psoriasis in a global scale.There is no permanent cure for psoriasis in the post-genomic era and the disease mechanism too is poorly understood. We hereby investigatepsoriasis through a systems biology approach to identify the underlying regulatory networks, which are pivotal to the disease pathology ofpsoriasis.Methods: Initially, we surveyed microarray studies from array express, and then we extracted the list of implicated genes through array mining tools.We then verified the nomenclature of extracted genes and extracted gene ontology information from various publications and databases such as UCSC,HUGO, and DAVID. We then have identified the list of novel micro RNA (miRNAs), transcription factors and pathways, which are involved in the diseasepathology of psoriasis from EnrichR.Results: EnrichR predicted 193 miRNAs, 183 transcription factors, and 116 pathways. After applying various mining techniques and statistics, weidentified a very few transcriptions factors and miRNAs, which are related to the disease pathways of psoriasis. Finally, we have used t-test to identifya specific miRNA and transcription factors, which are associated with the disease pathology of psoriasis on the basis of pathway analysis and it wasidentified that hsa-miR-324-5p and PAX3 have a higher degree of association on the basis of p-value.Conclusion: Integrated network analysis of biological data is an exciting view point to view and understand the pathological conditions in a biologicalsystem, but until date this field has not developed enough to encompass etiology and therapy. In order to take an equilibrium shift from the level ofdisease understanding to pattern characterization and therapy, there is a requirement for conducting more experimental studies on human with therespective ailments. At present, we have applied the approach of network analysis to psoriasis and in future we will be applying this approach tounderstand the disease pathology of various disorders of autoimmune nature.Keywords: Psoriasis, Micro RNA, Post-genomics, Bioinformatics and systems biology

    Determining Environmental Flow Regime in the Pee Dee Watershed, SC

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    2010 South Carolina Water Resource Conference. Informing strategic water planning to address natural resource, community and economic challenges

    Anticipatory anti-colonial writing in R.K. Narayan's Swami and Friends and Mulk Raj Anand's Untouchable

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    This article uses the term “anticipatory anti-colonial writing” to discuss the workings of time in R.K. Narayan’s Swami and Friends and Mulk Raj Anand’s Untouchable. Both these first novels were published in 1935 with the support of British literary personalities (Graham Greene and E.M. Forster respectively) and both feature young protagonists who, in contrasting ways, are engaged in Indian resistance to colonial rule. This study examines the difference between Narayan’s local, though ironical, resistance to the homogenizing temporal demands of empire and Anand’s awkwardly modernist, socially committed vision. I argue that a form of anticipation that explicitly looks forward to decolonization via new and transnational literary forms is a crucial feature of Untouchable that is not found in Swami and Friends, despite the latter’s anti-colonial elements. Untouchable was intended to be a “bridge between the Ganges and the Thames” and anticipates postcolonial negotiations of time that critique global inequalities and rely upon the multidirectional global connections forged by modernism

    Predicting postoperative systolic dysfunction in mitral regurgitation: CT vs. echocardiography

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    IntroductionVolume overload from mitral regurgitation can result in left ventricular systolic dysfunction. To prevent this, it is essential to operate before irreversible dysfunction occurs, but the optimal timing of intervention remains unclear. Current echocardiographic guidelines are based on 2D linear measurement thresholds only. We compared volumetric CT-based and 2D echocardiographic indices of LV size and function as predictors of post-operative systolic dysfunction following mitral repair.MethodsWe retrospectively identified patients with primary mitral valve regurgitation who underwent repair between 2005 and 2021. Several indices of LV size and function measured on preoperative cardiac CT were compared with 2D echocardiography in predicting post-operative LV systolic dysfunction (LVEFecho <50%). Area under the curve (AUC) was the primary metric of predictive performance.ResultsA total of 243 patients were included (mean age 57 ± 12 years; 65 females). The most effective CT-based predictors of post-operative LV systolic dysfunction were ejection fraction [LVEFCT; AUC 0.84 (95% CI: 0.77–0.92)] and LV end systolic volume indexed to body surface area [LVESViCT; AUC 0.88 (0.82–0.95)]. The best echocardiographic predictors were LVEFecho [AUC 0.70 (0.58–0.82)] and LVESDecho [AUC 0.79 (0.70–0.89)]. LVEFCT was a significantly better predictor of post-operative LV systolic dysfunction than LVEFecho (p = 0.02) and LVESViCT was a significantly better predictor than LVESDecho (p = 0.03). Ejection fraction measured by CT demonstrated significantly greater reproducibility than echocardiography.DiscussionCT-based volumetric measurements may be superior to established 2D echocardiographic parameters for predicting LV systolic dysfunction following mitral valve repair. Validation with prospective study is warranted

    The Fourteenth Data Release of the Sloan Digital Sky Survey: First Spectroscopic Data from the extended Baryon Oscillation Spectroscopic Survey and from the second phase of the Apache Point Observatory Galactic Evolution Experiment

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    The fourth generation of the Sloan Digital Sky Survey (SDSS-IV) has been in operation since July 2014. This paper describes the second data release from this phase, and the fourteenth from SDSS overall (making this, Data Release Fourteen or DR14). This release makes public data taken by SDSS-IV in its first two years of operation (July 2014-2016). Like all previous SDSS releases, DR14 is cumulative, including the most recent reductions and calibrations of all data taken by SDSS since the first phase began operations in 2000. New in DR14 is the first public release of data from the extended Baryon Oscillation Spectroscopic Survey (eBOSS); the first data from the second phase of the Apache Point Observatory (APO) Galactic Evolution Experiment (APOGEE-2), including stellar parameter estimates from an innovative data driven machine learning algorithm known as "The Cannon"; and almost twice as many data cubes from the Mapping Nearby Galaxies at APO (MaNGA) survey as were in the previous release (N = 2812 in total). This paper describes the location and format of the publicly available data from SDSS-IV surveys. We provide references to the important technical papers describing how these data have been taken (both targeting and observation details) and processed for scientific use. The SDSS website (www.sdss.org) has been updated for this release, and provides links to data downloads, as well as tutorials and examples of data use. SDSS-IV is planning to continue to collect astronomical data until 2020, and will be followed by SDSS-V.Comment: SDSS-IV collaboration alphabetical author data release paper. DR14 happened on 31st July 2017. 19 pages, 5 figures. Accepted by ApJS on 28th Nov 2017 (this is the "post-print" and "post-proofs" version; minor corrections only from v1, and most of errors found in proofs corrected

    Effects of antiplatelet therapy on stroke risk by brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases: subgroup analyses of the RESTART randomised, open-label trial

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    Background Findings from the RESTART trial suggest that starting antiplatelet therapy might reduce the risk of recurrent symptomatic intracerebral haemorrhage compared with avoiding antiplatelet therapy. Brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases (such as cerebral microbleeds) are associated with greater risks of recurrent intracerebral haemorrhage. We did subgroup analyses of the RESTART trial to explore whether these brain imaging features modify the effects of antiplatelet therapy

    A Spectroscopic Road Map for Cosmic Frontier: DESI, DESI-II, Stage-5

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    In this white paper, we present an experimental road map for spectroscopic experiments beyond DESI. DESI will be a transformative cosmological survey in the 2020s, mapping 40 million galaxies and quasars and capturing a significant fraction of the available linear modes up to z=1.2. DESI-II will pilot observations of galaxies both at much higher densities and extending to higher redshifts. A Stage-5 experiment would build out those high-density and high-redshift observations, mapping hundreds of millions of stars and galaxies in three dimensions, to address the problems of inflation, dark energy, light relativistic species, and dark matter. These spectroscopic data will also complement the next generation of weak lensing, line intensity mapping and CMB experiments and allow them to reach their full potential.Comment: Contribution to Snowmass 202

    A MHz X-ray diffraction set-up for dynamic compression experiments in the diamond anvil cell

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    An experimental platform for dynamic diamond anvil cell (dDAC) research has been developed at the High Energy Density (HED) Instrument at the European X-ray Free Electron Laser (European XFEL). Advantage was taken of the high repetition rate of the European XFEL (up to 4.5 MHz) to collect pulse-resolved MHz X-ray diffraction data from samples as they are dynamically compressed at intermediate strain rates (≀103 s−1), where up to 352 diffraction images can be collected from a single pulse train. The set-up employs piezo-driven dDACs capable of compressing samples in ≄340 ”s, compatible with the maximum length of the pulse train (550 ”s). Results from rapid compression experiments on a wide range of sample systems with different X-ray scattering powers are presented. A maximum compression rate of 87 TPa s−1 was observed during the fast compression of Au, while a strain rate of ∌1100 s−1 was achieved during the rapid compression of N2 at 23 TPa s−1
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