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Search Results: 1 - 10 of 200767 matches for " Siddharth P. Dubhashi "
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Malakoplakia of the Testis  [PDF]
Siddharth P. Dubhashi, Harsh Kumar, Vivek Kulkarni, Adil M. Suleman
Surgical Science (SS) , 2014, DOI: 10.4236/ss.2014.55040
Abstract:

Malakoplakia is an uncommon chronic inflammatory disease usually affecting the urogenital tract and often associated with the infection due to E. coli. It is characterised by the presence of Von Hansemann cells and intracytoplasmic inclusion bodies called Michaelis-Gutmann Bodies. Testes are affected in 12% cases. The lesion mainly occurs in middle aged men, appearing clinically as epididymo-orchitis or testicular enlargement with fibrous consistency and some soft areas. Orchidectomy is the only way to differentiate the lesion from other malignant or infected processes. This is a case report of a young patient with testicular malakoplakia.

Cutaneous Horn  [PDF]
Siddharth P. Dubhashi, Vivek D. Kulkarni, Adil Suleman, Ishant Rege, Harsh Kumar
Open Access Library Journal (OALib Journal) , 2014, DOI: 10.4236/oalib.1100995
Abstract: A cutaneous horn (corn cutaneum) is a dense, hyperkeratotic conical projection of skin arising from an unusual cohesiveness of keratinized material. Cutaneous horns most frequently occur in sites that are exposed to actinic radiation or burns. Forearm, cartilaginous portion of the ear, legs, and hands may also be affected. Cutaneous horns can occur in sun protected areas. Histologic confirmation is necessary to rule out malignant changes. No clinical features reliably distinguish between benign and malignant lesions. This is a case report of a cutaneous horn over inguinal region.
Oxidation, Thermal, and Storage Stability Studies of Jatropha Curcas Biodiesel
Siddharth Jain,M. P. Sharma
ISRN Renewable Energy , 2012, DOI: 10.5402/2012/861293
Abstract:
Oxidation, Thermal, and Storage Stability Studies of Jatropha Curcas Biodiesel
Siddharth Jain,M. P. Sharma
ISRN Renewable Energy , 2012, DOI: 10.5402/2012/861293
Abstract: The present work reports the results of the study of the effect of metal contaminants on the oxidation, thermal, and storage stability of Jatropha curcas biodiesel (JCB) with and without antioxidants. Taking Pyrogallol (PY) as the most effective antioxidant based on the earlier work of the authors, JCB was mixed with different transition metals—Fe, Ni, Mn, Co, and Cu in different concentrations. Induction period (IP) was measured using Rancimat method (EN 14112). The ASTM D6468 and thermogravimetric analysis (TGA) methods are used for evaluating the thermal behavior of JCB. Based on results, several correlations are developed for assessing the oxidation, thermal, and storage stability. For the purpose of optimization, response surface methodology (RSM) is used. A comparison between the experimental values and those predicted by the correlation shows that all the data points lie within ±10% deviation lines of the experimental results. The optimized concentration of PY for 2?ppm metal-contaminated biodiesel to have an IP of 6?hr is 326.96, 361.64, 386.15, 417.24, and 600?ppm for Fe, Ni, Mn, Co, and Cu, respectively. From the experiments it is found that if metal concentration is 0, then, 200 ppm of PY is sufficient to make biodiesel stable for 6 months. If metal (Fe) concentration is 2?ppm or more, then 800?ppm PY is sufficient to make biodiesel stable for 5.5 months. This is the first study of its kind being reported in the literature in which RSM is used for design of experiment for developing the correlation for oxidation, thermal, and storage stability. The models developed by RSM will be highly useful for predicting the optimum antioxidant concentration to impart maximum fuel stability in JCB. 1. Introduction Stability of biodiesel may be affected by its interaction with contaminants, light, temperature, factors causing sediments formation, changes in color, and other changes that reduce the cleanliness of the fuel [1]. Biodiesel produced from vegetable oils and other feed stocks have been found to be more susceptible to oxidation owing to the exposure to oxygen of the air and higher temperature, mainly, due to the presence of varying numbers of double bonds in the free fatty acid molecules. The chemical reactivity of fatty oils and their esters is, therefore, divided into oxidative and thermal instability that can be determined by the amount and configuration of the olefinic unsaturation in the fatty acid chains. Most of the plant-derived fatty oils like soybean and rapeseed contain poly-unsaturated fatty acids that are methylene interrupted rather
Study of oxidation stability of Jatropha curcas biodiesel/ diesel blends
Siddharth Jain, M.P. Sharma
International Journal of Energy and Environment , 2011,
Abstract: Biodiesel production is undergoing rapid technological reforms in industries and academia. This has become more obvious and relevant since the recent increase in the petroleum prices and the growing awareness relating to the environmental consequences of the fuel overdependency. However, the possibilities of production of biodiesel from edible oil resources in India is almost impossible, as primary need is to first meet the demand of edible oil that is already imported therefore it is essential to explore non-edible seed oils, like Jatropha curcas and Pongamia as biodiesel raw materials. The oxidation stability of biodiesel from Jatropha curcas oil is very poor. Therefore the aim of the present paper is to study the oxidation stability of Jatropha curcas biodiesel/ diesel blend. Also the effectiveness of various antioxidants is checked with respect to various blends of biodiesel with diesel.
Optimization of Conversion of High Free Fatty Acid Jatropha curcas Oil to Biodiesel Using Response Surface Methodology
Prerna Goyal,M. P. Sharma,Siddharth Jain
ISRN Chemical Engineering , 2012, DOI: 10.5402/2012/327049
Abstract:
Optimization of Conversion of High Free Fatty Acid Jatropha curcas Oil to Biodiesel Using Response Surface Methodology
Prerna Goyal,M. P. Sharma,Siddharth Jain
ISRN Chemical Engineering , 2012, DOI: 10.5402/2012/327049
Abstract: A five-level-four-factor central composite design (CCD) with 54 assays was employed to study the effect of catalyst concentration (NaOH), reaction temperature, reaction time, and methanol/oil molar ratio on the methyl esters yield from Jatropha curcas oil (JCO) during its transesterification. Using response surface methodology (RSM), a quadratic polynomial equation was obtained for Jatropha curcas biodiesel (JCB) yield by regression analysis. Verification experiments confirmed the validity of the predicted model. The high free fatty acids (FFAs) (14.6%) of JCO could be reduced to 0.34% by acid-catalyzed esterification and a JCB yield of 98.3% was obtained with methanol/oil ratio (11?:?1) using NaOH as catalyst (1% w/w) in 110?min time at 55°C temperature. The predicted value of JCB yield is found to be in good agreement with the experimental value at the optimum level of input parameters. The properties of the biodiesel, thus, produced conform to the ASTM and IS specifications, making it an ideal alternative fuel for diesel engines. The model can be effectively used in oil industry to maximize the biodiesel yield from given oil. 1. Introduction The rapid increase in energy demand and fast depletion of fossil fuel resources has led to the search for alternative energy sources. Biodiesel, a renewable and biodegradable fuel, has generated considerable interest as a substitute to petrodiesel in recent years. Presently, the main focus is being placed to explore the nonedible oil resources like Jatropha, Pongamia, Mahua, and Neem as a potential source for biodiesel. Jatropha curcas L. oil (JCO) has been assigned top priority by the Government of India as feedstock for biodiesel production, and accordingly, Jatropha curcas plantations are cultivated on about 400,000?ha of land under National Biodiesel Mission of the Government of India, and the oil is expected to be available for biodiesel production in the coming years. The oil can be converted to biodiesel using transesterification, but the type of transesterification to be adopted depends on the free fatty acid (FFA) content of the oil. For the conversion of high FFA JCO, two-step acid-base catalyzed method has been-developed [1] which consists of acid-catalyzed pretreatment/esterification step to reduce the FFA to less than 1% using H2SO4 as acid catalyst and transesterification of pretreated oil to biodiesel using alkali catalyst. Its basic objective is to maximize the yield of biodiesel and to achieve higher conversion efficiency of biodiesel production. Different oils are found to contain varying amount
Performance Optimization of a Six-Strand Tundish  [PDF]
Siddharth Gupta, Anupam Dewan
World Journal of Mechanics (WJM) , 2013, DOI: 10.4236/wjm.2013.33018
Abstract:

The aims of the present study are to predict and improve inclusion separation capacity of a six strand tundish by employing flow modifiers (dams and weirs) and to assess the influence of inclusion properties (diameter and density) together with velocity of liquid steel at the inlet gate on the inclusion removal efficiency of a six-strand tundish. Computational solutions of the Reynolds-Averaged Navier-Strokes (RANS) equations together with the energy equation are performed to obtain the steady, three-dimensional velocity and temperature fields using the standard k-ε model of turbulence. These flow fields are then used to predict the inclusion sepapration by numerically solving the inclusion transport equation. To account for the effects of turbulence on particle paths a discrete random walk model is employed. It was observed that with the employment of flow modifiers, the inclusion separation capacity of tundish increases without any large variation in the outlet temperatures. It is shown that inclusion properties and velocity are important parameters in defining the operating conditions of a six-strand tundish.

A Novel 3-D Mineralized Tumor Model to Study Breast Cancer Bone Metastasis
Siddharth P. Pathi,Christine Kowalczewski,Ramya Tadipatri,Claudia Fischbach
PLOS ONE , 2012, DOI: 10.1371/journal.pone.0008849
Abstract: Metastatic bone disease is a frequent cause of morbidity in patients with advanced breast cancer, but the role of the bone mineral hydroxyapatite (HA) in this process remains unclear. We have developed a novel mineralized 3-D tumor model and have employed this culture system to systematically investigate the pro-metastatic role of HA under physiologically relevant conditions in vitro.
Synthesis of Difference Patterns for Monopulse Antennas with Optimal Combination of Array-Size and Number of Subarrays --- a Multi-Objective Optimization Approach
Siddharth Pal;Swagatam Das;Aniruddha Basak;P. N. Suganthan
PIER B , 2010,
Abstract: Monopulse antennas form an important methodology of realizing tracking radar. They are based on the simultaneous comparison of sum and difference signals to compute the angle-error and to steer the antenna patterns in the direction of the target (i.e., the boresight direction). In this study, we consider the synthesis problem of difference patterns of monopulse antennas in the framework of Multi-objective Optimization (MO). The synthesis problem is recast as an MO problem (for the first time, to the best of our knowledge), where the Maximum Side-Lobe Level (MSLL) and Beam Width (BW) of principal lobe are taken as the two objectives to be minimized simultaneously. The approximated Pareto Fronts (PFs) are obtained for different number of elements and sub-arrays using a recently developed and very competitive Multi-Objective Evolutionary Algorithm (MOEA) called MOEA/D-DE that uses a decomposition approach for converting the problem of approximation of the PF into a number of single objective optimization problems. This algorithm employs Differential Evolution (DE), one of the most powerful real parameter optimizers in current use, as the search method. The quality of solutions obtained is compared with the help of the trade-off graphs (plots of the approximated PF) generated by MOEA/D-DE on the basis of the two objectives to investigate the dependence of the number of array-elements and the number of sub-arrays on the final solution. Then we find the best compromise solutions for 20 element arrays and compare the results with standard single-objective algorithms such as the Differential Evolution (DE) and Particle Swarm Optimization (PSO) and hybrid techniques like Hybrid Contiguous Partition Method (HCPM) that has been reported in literature so far for the synthesis problem. Our experimental results indicate the MOEA/D-DE yields much better final results as compared to the standard single-objective and hybrid approaches over all the test cases covered here.
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