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Search Results: 1 - 10 of 198301 matches for " Satyanarayana N "
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Altered Serum Lipids in the Cases of Head and Neck Cancer Associated with the Habit of Tobacco Consumption  [PDF]
Setty L. N. Chandra Mohan, D. Satyanarayana
International Journal of Otolaryngology and Head & Neck Surgery (IJOHNS) , 2017, DOI: 10.4236/ijohns.2017.63006
Abstract: Alterations in serum lipid profile patterns have long been associated with malignancies, and their role remains controversial with respect to head and neck cancer. Due to an increased rate of neoplastic cell multiplication and reduced supply, there is increased utilization of lipids causing Hypolipidemia. Adding to this, tobacco contains carcinogens capable of damaging the cell membrane components including lipids resulting in further hypolipidemia. Thus the purpose of the present case control study is to discuss the alterations in plasma lipid profile in head and neck cancer patients in association with tobacco consumption. This hospital based study includes 80 cases of head and neck cancer patients and 50 controls. Plasma Lipids included are total cholesterol (TC), high density lipoprotein cholesterol (HDL), low density lipoprotein cholesterol (LDL), very low density lipoprotein cholesterol (LDL), triglycerides (TG). Student’s “t test” was applied to the data acquired. Values of P < 0.05 were considered significant and P > 0.05 were considered statistically insignificant.
Postoperative myocardial infarction after diagnostic video-assisted thoracoscopy and pleurodesis for catamenial pneumothorax: A unique case report
Madhavi G,Satyanarayana N
Indian Journal of Anaesthesia , 2010,
Abstract: Myocardial infarction (MI) is uncommon in patients undergoing noncardiac surgery without a history of coronary artery disease. But, patients with compromised pulmonary function and coexisting anaemia superimposed by precipitating factors like prolonged hypotension and tachycardia can culminate in myocardial catastrophe even in the absence of risk factors. We are herewith reporting an unusual case of postoperative non-ST elevation MI without any pre-existing ischemic heart disease. A 39-year-old female patient who was submitted for diagnostic video-assisted thoracoscopy and chemical pleurodesis for recurrent pneumothorax developed postoperative MI. After review of all the factors, it was found that the patient developed Type 2 MI as a sequel to oxygen supply and demand mismatch secondary to hypoxia and prolonged hypotension. This was evident in the 12-lead electrocardiogram and was confirmed by elevated cardiac biomarkers and regional wall motion abnormality on echocardiography.
On Transposed Translation Planes  [PDF]
K. Satyanarayana, K. V. V. N. S. Sundari Kameswari
Open Journal of Discrete Mathematics (OJDM) , 2012, DOI: 10.4236/ojdm.2012.21007
Abstract: This paper is devoted to the study of a translation plane π(C) associated with a t-spread set C and its transposed t-spread set C t. In this paper, an explicit matrix form of the inverse of an isomorphism from a translation plane into another translation plane associated with t-spread sets is derived and proved that two translation planes associated with t-spread sets are isomorphic if and only if their corresponding transposed translation planes are isomorphic. Further, it is shown that the transpose of a flag-transitive plane is flag-transitive and derived a necessary and sufficient condition for a translation plane π(C) to be isomorphic to its transposed translation plane.
Development and Validation of a Method for Simultaneous Determination of Metformin Hydrochloride and Sitagliptin Phosphate in a Formulation by RP-HPLC  [PDF]
P. B. N. Prasad, K. Satyanarayana, G. Krishnamohan
American Journal of Analytical Chemistry (AJAC) , 2014, DOI: 10.4236/ajac.2014.511082
Abstract: Present study was aimed to develop and validate a reverse-phase high-performance liquid chromatography method for simultaneous determination of sitagliptin phosphate and metformin hy-drochloride in a marketed formulation. The drug separation was performed on Hibar-240, Li-chrosphere-100 C18 ODS (250 × 4.6 mm, 5 μm) column, at a flow rate of 1 mL/min. The mobile phase used was a mixture of methanol: potassium di-hydrogen phosphate buffer at a ratio of 70:30 v/v. The detection was carried out at a wavelength of 266 nm. The retention times of sitagliptin phosphate and metformin hydrochloride were found as 6.1 and 4.9 min respectively. Linear calibration curves with good correlation coefficients were obtained over the concentration ranges of 10 - 50 μg/mL for sitagliptin and 20 - 100 μg/mL for metformin. The limit of detection was 0.016 and 0.14 μg/mL and the limit of quantification was 0.048 and 0.42 μg/mL for sitagliptin phosphate and metformin hydrochloride respectively. Validation of the method demonstrated system selectivity, specificity, linearity, accuracy and precision. The developed method was found useful in the simultaneous analysis of sitagliptin phosphate and metformin hydrochloride in formulation.
Micro-scale Dispersion of Air Pollutants over an Urban Setup in a Coastal Region  [PDF]
Srikanth Madala, A.N.V. Satyanarayana, V. Krishna Prasad
Open Journal of Air Pollution (OJAP) , 2012, DOI: 10.4236/ojap.2012.12007
Abstract: The dispersion is mainly governed by wind field and depends on the planetary boundary layer (PBL) dynamics. Accurate representation of the meteorological weather fields would improve the dispersion assessments. In urban areas representation of wind around the obstacles is not possible for the pollution dispersion studies using Gaussian based modeling studies. It is widely accepted that computational fluid dynamics (CFD) tools would provide reasonably good solution to produce the wind fields around the complex structures and other land scale elements. By keeping in view of the requirement for the micro-scale dispersion, a commercial CFD model PANACHE with PANEPR developed by Fluidyn is implemented to study the micro-scale dispersion of air pollution over an urban setup at Indira Gandhi Centre for Atomic Research (IGCAR), Kalpakkam a coastal station in the east coast of India under stable atmospheric conditions. Meso-scale module of the PANACHE model is integrated with the data generated at the site by IGCAR under RRE (Round Robin Exercise) program to develop the flow fields. Using this flow fields, CFD model is integrated to study the micro-scale dispersion. Various pollution dispersion scenarios are developed using hypothetical emission inventory during stably stratified conditions to understand the micro-scale dispersion over different locations of coastal urban set up in the IGCAR region of Kalpakkam.
A Novel Domino Logic for Arithmetic Circuits
N.Srinivasa Gupta,Dr. M. Satyanarayana
International Journal of Innovative Technology and Exploring Engineering , 2013,
Abstract: This paper presents a low power and high speed ripple carry adder circuit design using a new CMOS domino logic family called feedthrough logic. Dynamic logic circuits are important as it provides better speed and has lesser transistor requirement when compared to static CMOS logic circuits. The proposed circuit has very low dynamic power consumption and lesser delay compared to the recently proposed circuit techniques for the dynamic logic styles. Problems associated with domino logic like limitation of non-inverting only logic, charge sharing and the need of output inverter are eliminated. The feedthrough logic (FTL) performs a partial evaluation in a computational block before its input signals reach a valid level, and performs a quick final evaluation as soon as the inputs arrive, leading to a reduction in the delay. The FTL is well suited to arithmetic circuits where the critical path consists of a large number of gates. A comparison has been done by simulating the proposed logic style based 10-bit ripple carry adder along with previous logic styles based RCAs. The results show that FTL is the simplest, fastest and consumes least power.
International Journal of Innovative Research in Computer and Communication Engineering , 2013,
Abstract: This article present the classification of data mining and machine learning approaches for healthcare systems. Machine Learning (ML) field has gained its thrust in any domain of research and now recently has become a reliable utensil in the medical domain. The pragmatic sphere of automatic learning is used in various levels such as medical decision support, medical imaging, extraction of medical knowledge and for overall patient management care. ML is envisioned as a tool by which computer-based systems can be integrated in the healthcare field in order to get a better, well organized therapeutic mind. It describes a ML based methodology for building an application that is capable of identifying and disseminating healthcare information. Moreover our methodology will extract sentences from published medical papers that mention diseases and treatments and identifies semantic relations that exist between diseases and treatments. Here in this manuscript we also discussed a comprehensive outline of data mining and machine learning approaches for healthcare systems.
The Budget of Turbulent Kinetic Energy during Premonsoon Season over Kharagpur as Revealed by STORM Experimental Data
Bhishma Tyagi,A. N. V. Satyanarayana
ISRN Meteorology , 2013, DOI: 10.1155/2013/972942
Abstract: Turbulent kinetic energy (TKE) budget variations during thunderstorm days (TD) and nonthunderstorm days (NTD) of premonsoon seasons of 2007, 2009, and 2010 have been investigated at a tropical station Kharagpur (22°30′N, 87°20′E) using the surface layer turbulence data obtained during severe thunderstorms-observations and regional modeling (STORM) experiment. Significant variations in the contributions of the TKE budget parameters with respect to stability are observed on these contrasting days of weather activity. In highly unstable conditions, smaller dissipation rates are seen on TD compared to NTD, while approaching near neutral conditions, higher dissipation rates are found in TD. New relationships between TKE dissipation rates with respect to atmospheric stability are proposed at Kharagpur for TD and NTD. 1. Introduction Evolution of turbulence in atmospheric surface layer (ASL) assumes special importance, as it plays major role in the transportation of heat and moisture from near the surface to higher levels in the atmosphere. Turbulent kinetic energy (TKE), which is a measure of turbulence in the atmosphere, is directly related to the transport of momentum, heat, and moisture through the boundary layer [1]. Thus, understanding the variation of the individual budget components is crucial for energy exchange mechanism from atmospheric surface layer to upper atmosphere and vice versa. TKE budget has been studied during various field campaigns based on Monin-Obukhov similarity theory (MOST) [2–6]. TKE budget equation is still an uncertain relation in the quantitative case and is commonly used to parameterize turbulent properties of the surface layer in atmospheric models of larger scale [7]. TKE budget associates the local storage of turbulence to the shear production, buoyancy production, dissipation, and the transport processes and has numerous applications in both empirical and computational modeling in boundary-layer meteorology [8–10]. Study of TKE budget under unstable conditions and convective conditions is important for understanding the timely response of ASL. It was found in [11] that in the unstable surface layer, all terms in the TKE budget are considerable, and TKE generated through buoyancy forces is transported out of the layer, while the dissipation rate can be regarded as an approximation of the sum of mechanical production and the residual, with the unmeasured pressure term. Results at different sites about TKE budget and dissipation are emphasizing the importance of various TKE terms during convective situations and the necessity
Detection of Quarry Blasts in the Koyna-Warna Region, Western India  [PDF]
D. Shashidhar, K. Mallika, N. Purnachandra Rao, H. V. S. Satyanarayana, H. K. Gupta
Open Journal of Earthquake Research (OJER) , 2014, DOI: 10.4236/ojer.2014.34016
Abstract: Koyna-Warna is a seismically active region, characterized by earthquakes triggered by loading of artificial water reservoirs. In this region quarrying is ongoing and sometimes the quarry blasts are confused with triggered seismic events. About 410 events around a known mining area were ob-served during January 2007-October 2013. In general the quarry blasts are carried out mostly during the day time. Based on this fact a well known method of [1] is implemented, which has the capability of detecting the areas of quarry blast activity. Also, discrimination of quarry blasts from earthquakes has been achieved by studying waveforms at key seismic stations located close to the quarrying area. Further, distinction is achieved through spectral analysis in the frequency band of 3 - 15 Hz. Ratio of day-time to night-time events, waveform pattern and spectral analysis approach confirm the presence of quarry blasts aligned south-east of the Warna reservoir.
Stability Indicating RP-HPLC Method for Estimation of Impurities of Vitamin D3 Analogue and Corticosteroid Used as Antipsoriatic Drugs. An Attempt to Characterize Pre-Calcipotriene  [PDF]
R. K. Bhogadi, A. Satyanarayana, N. Someswara Rao, Srinivas Arutla, A. Malleswara Reddy
American Journal of Analytical Chemistry (AJAC) , 2015, DOI: 10.4236/ajac.2015.613100
Abstract: A single RP-HPLC method is developed for estimation of isomeric impurities of vitamin D3 analogue-Calcipotriol/Calcipotriene (Calci) and impurities of Betamethasone dipropionate (BD). The developed method is capable of separating impurities of Calci and BD, specifically pre-Calcipotriene (Pre-Calci) from other known and unknown impurities. Pre-Calci is isolated and is characterised using few analytical techniques. These impurities are separated using a RP-C18 150 × 4.6 mm, 2.7 μm column maintained at 50°C. The mobile phase consisted of mixture of water, methanol, acetonitrile and tetrahydrofuran eluted in gradient mode. Detection was done at 264 nm and 240 nm for Calci and BD impurities respectively. The method can be used for determining quality of Calci and BD drugs and ointment based drug products. It is stability indicating related substance method for both the drugs and drug products.
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