1,311 research outputs found

    To study the effect of various combinations of haart in CD4+ cell count in HIV patient at RIMS, Ranchi Art Centre

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    Background: India has the third largest HIV epidemic in the world. In 2013, HIV prevalence in India was an estimated 0.3%, an estimated 130,000 people died from AIDS-related illnesses. Overall, India’s HIV epidemic is slowing down, with a 19% decline in new HIV infections (130,000 in 2013), and a 38% decline in AIDS-related deaths between 2005 and 2013. Antiretroviral therapy (ART) for the treatment of HIV infection has improved steadily since the advent of potent combination therapy in 1996. ART has dramatically reduced HIV-associated morbidity and mortality. The aim of this study is to see the change in CD4+ count in patient taking various combination of HAART (Highly active anti-retroviral treatment).Methods: A total of 215 patients were included in this study that came to the rims art centre for regular follow up and there cd4+ count at 6 monthly interval upto 18 months was taken and analysed.Results: The patients were evaluated for their change in CD4+ cell count. Mean of CD4+ count at 6 monthly interval was taken in this study which showed that haart combination causes significant improvement in cd4+ count in each group (1) stavudine, lamivudine, nevirapine (2)stavudine, lamivudine, efavirenz (3) zidovudine, lamivudine, nevirapine (4) zidovudine, lamivudine, efavirenz, (5) tenofovir, lamivudine, efavirenz.Conclusions: SLN combination was found most effective in increasing the CD4+ Cell count in comparision to the other combination. Other drugs combinations in decreasing order are as follows- SLE, ZLE, TLE, ZLN.

    Antimicrobial susceptibility pattern of pus culture in a tertiary care hospital of Jharkhand, India

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    Background: Antimicrobial resistance is developing day by day leading to increase not only in health care cost but also severity and death rate from certain infection that could have been avoided by rational use of existing and new antimicrobial agents. Present study is undertaken for this purpose to analyse the types of pathogens involved and their antibiotic sensitivity isolated from pus culture reports in a tertiary care hospital.Methods: Observational study was conducted using pus culture and sensitivity reports collected retrospectively from the records maintained in the Department of Microbiology over a period of 5 months from August 2016 to December 2016 in tertiary care hospital.Results: 85 percent pus samples were found culture positive of which microorganism isolated in decreasing order were Staphylococcus aureus, Pseudomonas, Klebsella and E. coli. Staphylococcus aureus was sensitive to fixed drug combination of piperacillin with tazobactam, linezolid, ceftriaxone with sulbactum, levofloxacillin and ciprofloxacin and resistance to cefotaxime, cloxacillin and ampicillin. Pseudomonas was highly sensitive to fixed drug combination of cefoperazone with sulbactum, piperacillin with tazobactum, ceftriaxone with sulbactum and resistance to cloxacillin and cefotaxime. Klebsiella showed high sensitivity to piperacillin with tazobactum, cefoperazone with sulbactum, ceftriaxone with sulbactum and was found resistant with norfloxacin and amoxycillin. E. coli showed high sensitivity in decreasing order with amikacin and gentamycin and resistance in increasing order with cefotaxime, cloxacillin, ampicillin and norfloxacin.Conclusions: The sensitivity patterns were different for each isolated microorganism but high sensitivity was found with fixed antimicrobial drug combination and resistance to frequently used drugs

    Antimicrobial susceptibility pattern of urine culture isolates in a tertiary care hospital of Jharkhand, India

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    Background: Urinary tract infection (UTI) is one of the common infections encountered by the clinicians. Though a good number of antimicrobial agents are available, still UTIs have become difficult to treat due to development of resistance by the uropathogens. So, regional data regarding the common uropathogens and their sensitivity pattern is required to guide the clinicians to start empirical therapy while managing UTIs. The purpose of the study was to identify different species of microorganisms, along with their antimicrobial susceptibility pattern, causing urinary tract infection in outpatient and indoor patients at RIMS, Ranchi, Jharkhand.Methods: Observational study was conducted using urine culture and sensitivity reports collected retrospectively from records maintained in the department of Microbiology over a period from July 2016 to Feb 2017 in tertiary care hospital.Results: UTI was more common in females (57.74%) than in males (42.26%). Among the uropathogens isolated Escherichia coli (37.41%) was found to be the predominant organism followed by Klebsiella species (32.79%), Pseudomonas species (25.86%), and gram-positive bacteria Staphylococcus aureus accounted (3.92%) of total cases. The most common isolates were E. coli showed high sensitivity to amikacin (79.24%), followed by levofloxacin (77.21%) and gentamycin (62.26%). It was found to be resistant to norfloxacin (86%), nalidixic acid (86.76%) and cefotaxime (69.88%).Conclusions: Though various microorganisms are responsible for UTI. Escherichia coli species is the most common organism. Antimicrobial resistance has already emerged against many antibiotics, making empirical treatment of these infections challenging

    Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

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    Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

    Search for supersymmetry in events with one lepton and multiple jets in proton-proton collisions at root s=13 TeV

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    Measurement of the top quark forward-backward production asymmetry and the anomalous chromoelectric and chromomagnetic moments in pp collisions at √s = 13 TeV

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    Abstract The parton-level top quark (t) forward-backward asymmetry and the anomalous chromoelectric (d̂ t) and chromomagnetic (μ̂ t) moments have been measured using LHC pp collisions at a center-of-mass energy of 13 TeV, collected in the CMS detector in a data sample corresponding to an integrated luminosity of 35.9 fb−1. The linearized variable AFB(1) is used to approximate the asymmetry. Candidate t t ¯ events decaying to a muon or electron and jets in final states with low and high Lorentz boosts are selected and reconstructed using a fit of the kinematic distributions of the decay products to those expected for t t ¯ final states. The values found for the parameters are AFB(1)=0.048−0.087+0.095(stat)−0.029+0.020(syst),μ̂t=−0.024−0.009+0.013(stat)−0.011+0.016(syst), and a limit is placed on the magnitude of | d̂ t| < 0.03 at 95% confidence level. [Figure not available: see fulltext.

    Measurement of the top quark mass using charged particles in pp collisions at root s=8 TeV

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    Measurement of t(t)over-bar normalised multi-differential cross sections in pp collisions at root s=13 TeV, and simultaneous determination of the strong coupling strength, top quark pole mass, and parton distribution functions

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    An embedding technique to determine ττ backgrounds in proton-proton collision data

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    An embedding technique is presented to estimate standard model tau tau backgrounds from data with minimal simulation input. In the data, the muons are removed from reconstructed mu mu events and replaced with simulated tau leptons with the same kinematic properties. In this way, a set of hybrid events is obtained that does not rely on simulation except for the decay of the tau leptons. The challenges in describing the underlying event or the production of associated jets in the simulation are avoided. The technique described in this paper was developed for CMS. Its validation and the inherent uncertainties are also discussed. The demonstration of the performance of the technique is based on a sample of proton-proton collisions collected by CMS in 2017 at root s = 13 TeV corresponding to an integrated luminosity of 41.5 fb(-1).Peer reviewe

    Measurement of the Splitting Function in &ITpp &ITand Pb-Pb Collisions at root&ITsNN&IT=5.02 TeV

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    Data from heavy ion collisions suggest that the evolution of a parton shower is modified by interactions with the color charges in the dense partonic medium created in these collisions, but it is not known where in the shower evolution the modifications occur. The momentum ratio of the two leading partons, resolved as subjets, provides information about the parton shower evolution. This substructure observable, known as the splitting function, reflects the process of a parton splitting into two other partons and has been measured for jets with transverse momentum between 140 and 500 GeV, in pp and PbPb collisions at a center-of-mass energy of 5.02 TeV per nucleon pair. In central PbPb collisions, the splitting function indicates a more unbalanced momentum ratio, compared to peripheral PbPb and pp collisions.. The measurements are compared to various predictions from event generators and analytical calculations.Peer reviewe
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