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Search Results: 1 - 10 of 21379 matches for " Rohit Kumar "
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Pseudoaneurysm of Ascending Aorta with Extrinsic Compression of Left Main Coronary Artery  [PDF]
Kumar Aditya, Rohit Kumar, Harpreet Singh Minhas
World Journal of Cardiovascular Surgery (WJCS) , 2016, DOI: 10.4236/wjcs.2016.63008
Abstract: Pseudoaneurysm of ascending aorta carries high mortality and morbidity due to adhesions and compression over surrounding structures. It occurs either after some form of injury to aorta or after infectious pathology. Spontaneous pseudoaneuryms are very rare as are the extrinsic compression of left main coronary artery. We are presenting a case with both of these rare ties. Patient was a female of middle age presented with cough and a past history of treated pulmonary tuberculosis 12 years before. During evaluation by X-ray, CECT is a large pseudoaneurysm of ascending aorta with oval defect in posterior wall above sinotubular junction. It was compressing 90% of the left main coronary artery, occluding 100% of the right pulmonary artery with formation of collaterals to it from surrounding arteries. Active tuberculosis and syphilis were ruled out. Patient underwent excision of pseudoaneurysm, replacement of ascending aorta by Dacron graft and coronary artery bypass under TRCA and CPB. There was massive intraoperative bleeding, and patient died on the fourth day due to sepsis and ARDS.
A Network Analysis of Skill Game Dynamics  [PDF]
Rohit Raturi, Kumar Attangudi Perichiappan Perichappan
Journal of Computer and Communications (JCC) , 2018, DOI: 10.4236/jcc.2018.64008
Abstract: Casino games can be classified in two main categories, i.e. skill games and gambling. Notably, the former refers to games whose outcome is affected by the strategies of players, the latter to those games whose outcome is completely random. For instance, lotteries are easily recognized as pure gambling, while some variants of Poker (e.g. Texas Hold’em) are usually considered as skill games. In both cases, the theory of probability constitutes the mathematical framework for studying their dynamics, despite their classification. Here, it is worth to consider that when games entail the competition between many players, the structure of interactions can acquire a relevant role. For instance, some games as Bingo are not characterized by this kind of interactions, while other games as Poker, show a network structure, i.e. players interact each other and have the opportunity to share or exchange information. In this paper, we analyze the dynamics of a population composed of two species, i.e. strong and weak agents. The former represents expert players, while the latter beginners, i.e. non-expert ones. Here, pair-wise interactions are based on a very simple game, whose outcome is affected by the nature of the involved agents. In doing so, expert agents have a higher probability to succeed when playing with weak agents, while the success probability is equal when two agents of the same kind face each other. Numerical simulations are performed considering a population arranged in different topologies like regular graphs and in scale-free networks. This choice allows to model dynamics that we might observe on online game platforms. Further aspects as the adaptability of agents are taken into account, e.g. the possibility to improve (i.e. to becomean expert). Results show that complex topologies represent a strong opportunity for experts and a risk for both kinds of agents.
Orbital Cellulitis: A Rare Presentation of Metastatic Bronchial Carcinoma
Rohit Kumar,Wolfgang Issing
Case Reports in Otolaryngology , 2011, DOI: 10.1155/2011/397451
Abstract: Objective. We report a rare and unusual case of bronchial carcinoma presenting with symptoms of complications of sinonasal disease. Case Report. A 66-year-old lady was referred with a 1-week history of progressive ocular pain, chemosis, and visual disturbance. Computed tomography of the paranasal sinuses revealed frontal and ethmoidal sinus opacification with orbital involvement consistent with a diagnosis of orbital cellulitis secondary to sinusitis. Surgical exploration revealed that the sinuses and right orbit were filled with soft tissue and subsequent histopathological examination of the biopsies indicating metastases from an adenosquamous bronchial carcinoma. Further imaging revealed a large, asymptomatic, bronchial primary with deposits in the brain and liver. The advanced presentation of the disease limited treatment to best supportive care. Conclusion. Orbital cellulitis and sinonasal malignancies have a similar pattern of clinical presentation, posing a potential diagnostic pitfall. There are only two previously reported cases of metastatic lung carcinoma in the frontal sinus with 15 cases of sinonasal tract involvement reported overall. There are no reported cases of adenosquamous carcinoma in the sinonasal tract.
MICROWAVE ASSISTED, SOLVENT-FREE SYNTHESIS OF SOME NOVEL IMIDAZOLES OF BIOLOGICAL INTEREST
Rohit Kumar* and Himanshu Gupta
International Journal of Bioassays , 2013,
Abstract: In the present study we have made an attempt to synthesize novel imidazoles and evaluate them as potential therapeutic agent for its anthelmintic and free radical scavenging activity. First, sulfanilamide was condensed with heteryl aldehydes to afford corresponding Schiff’s base. The Schiff’s base further on treatment with ammonium acetate and acetylated / benzoylated isatin using silica gel as solid support yielded corresponding imidazoles. The synthesized compounds were analyzed by physical and analytical data. The synthesized compounds were evaluated for their anthelmintic and free radical scavenging activity. All the synthesized substituted imidazoles have shown moderate to good anthelmintic activity while compound 1b, 2b, 8b, 9b and 10b showed most significant free radical scavenging activity.
CFD Simulation of Hydrodynamics of Bubbly Flow in Bubble Column
Rohit Joshi,Subrata Kumar Majumder
Journal of Engineering and Applied Sciences , 2012, DOI: 10.3923/jeasci.2011.47.57
Abstract: Computational Fluid Dynamics (CFD) simulation is highly helpful for the study of large bubble column hydrodynamics because a validated model of a small reactor can be easily scaled up. Until recently CFD had not been used to study nozzle diameter effect on the hydrodynamics in bubble column. So, an attempt is made to simulate the flow pattern numerically so that scaling of numerical model can be done easily without depending on experiments. This research demonstrates the numerical simulation for bubble column using standard k-ε turbulence model. The problem is solved using Algebraic Slip Mixture Model (ASMM). The ASMM model solves conservation equations for only mixture rather than considering equations for both the phases individually. The simulation allows us to determine gas holdup, a key variable that need to be maximized to have a high reaction rates. A computer simulation of gas holdup is a complicated problem because the flow is generally turbulent and it requires tracking the transient movement of each bubble. The simulation predicts the flow pattern with different nozzle diameters and the use of sparger. The flow pattern was observed in simulations by considering physics of the problem.
Implementation of 1-bit Full Adder using Gate Difuision Input (GDI) cell
Arun Prakash Singh,Rohit Kumar
International Journal of Electronics and Computer Science Engineering , 2012,
Abstract: Now–a-days in digital circuits design high speed, high throughput, small silicon area, and at the same time, lowpower consumption of digital circuit is most important things for digital circuit designers. In this paper a novel design method of a low power digital circuit is discussed, where the GATE DIFFUSION INPUT (GDI) technique has been used for the simultaneous generation of digital logic functions. Simulation results are performed by AIMSPICE based on 0.18μm CMOS technology, shows GDI technique of low power digital circuit design. Simulation results shows up to 45% reduction in power-delay product in GDI. GDI approach allows implementation of a wide range of complex logic functions using only two transistors. This method is suitable for designing of fast, low power circuits, using reduced number of transistor (as compared to CMOS techniques), while improving power characteristics.
FASTICA BASED BLIND SOURCE SEPARATION FOR CT IMAGING UNDER NOISE CONDITIONS
Rohit Kumar Malik,Ketaki Solanki
International Journal of Advances in Engineering and Technology , 2012,
Abstract: A novel blind source separation method, fast independent component analysis (FastICA) is proposed in this paper. The proposed method is extended from the existing FastICA algorithm in one-dimensional signals. The existed FastICA is not suitable for the signals which are under noise. To solve this problem, we combined the image denoising and source separation concepts on medical images under noise conditions. The performance of the proposed method is tested National Electrical Manufacturers Association (NEMA) computer tomography (CT) image database. The results after being investigated the proposed method show that it can separate every independent component effectively under different noise conditions of the images.
Dynamos at extreme magnetic Prandtl numbers
Mahendra K. Verma,Rohit Kumar
Physics , 2015,
Abstract: We present a MHD shell model suitable for the computation of various energy fluxes of magnetohydrodynamic turbulence for very small and very large magnetic Prandtl numbers $\mathrm{Pm}$; such computations are inaccessible to direct numerical simulations. For small $\mathrm{Pm}$, we observe that the both kinetic and magnetic energy spectra scale as $k^{-5/3}$ in the inertial range, but the dissipative magnetic energy scales as $k^{-17/3}$. Here, the kinetic energy at large length scale feeds the large-scale magnetic field that cascades to small-scale magnetic field, which gets dissipated by Joule heating. The large $\mathrm{Pm}$ dynamo has a similar behaviour except that the dissipative kinetic energy scales as $k^{-13/3}$. For this case, the large-scale velocity field transfers energy to large-scale magnetic field, which gets transferred to small-scale velocity and magnetic fields. The energy of the small-scale magnetic field also gets transferred to the small-scale velocity field. The energy accumulated at small-scale velocity field is dissipated by the viscous force.
Estimation of a Two-component Mixture Model with Applications to Multiple Testing
Rohit Kumar Patra,Bodhisattva Sen
Statistics , 2012,
Abstract: We consider a two-component mixture model with one known component. We develop methods for estimating the mixing proportion and the unknown distribution nonparametrically, given i.i.d.~data from the mixture model, using ideas from shape restricted function estimation. We establish the consistency of our estimators. We find the rate of convergence and asymptotic limit of the estimator for the mixing proportion. Completely automated distribution-free honest finite sample lower confidence bounds are developed for the mixing proportion. Connection to the problem of multiple testing is discussed. The identifiability of the model, and the estimation of the density of the unknown distribution are also addressed. We compare the proposed estimators, which are easily implementable, with some of the existing procedures through simulation studies and analyse two data sets, one arising from an application in astronomy and the other from a microarray experiment.
Neural Network Modeling for Ni(II) Removal from Aqueous System Using Shelled Moringa Oleifera Seed Powder as an Agricultural Waste  [PDF]
Kumar Rohit Raj, Abhishek Kardam, Jyoti Kumar Arora, Man Mohan Srivastava, Shalini Srivastava
Journal of Water Resource and Protection (JWARP) , 2010, DOI: 10.4236/jwarp.2010.24038
Abstract: A single-layer Artificial Neural Network (ANN) model was developed to predict the removal efficiency of Ni(II) ions from aqueous solution using shelled Moringa Oleifera seed (SMOS) powder. Batch experiments resulted into standardization of optimum conditions: biomass dosage (4.0 g), Ni(II) concentration (25 mg/L) volume (200 mL) at pH 6.5. A time of forty minutes was found sufficient to achieve the equilibrium. The ANN model was designed to predict sorption efficiency of SMOS for target metal ion by combining back propagation (BP) with principle component analysis. A sigmoid axon was used as transfer function for input and output layers. The Levenberg–Marquardt Algorithm (LMA) was applied, giving a minimum mean squared error (MSE) for training and cross validation at the ninth place of decimal.
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