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Search Results: 1 - 10 of 201178 matches for " P.?Srinivasa Subbarao "
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Preparation and Characterization of CuO Nanoparticles by Novel Sol-Gel Technique
Y.?Aparna,K.?Venkateswara Rao,P.?Srinivasa Subbarao
Journal of Nano- and Electronic Physics , 2012,
Abstract: Recent developments of nanosize materials of metal and metal oxide particles are intensively pursued because of their prominence in different fields of applications. Among all the transition metal oxides, CuO is a potential candidate for the application of magnetic storage devices, solar energy transfer, sensors, and super capacitors etc. Moreover CuO nanoparticles act as a good catalyst in some of the chemical reactions. CuO nanoparticles were prepared by novel sol-gel method. In this technique CuCl2.6H2O is added with acetic acid and heated to 100 °C with continuous stirring. To control the ph of the above solution, NaOH is added to the solution till ph reached desired value. The color of the solution changed from blue to black with precipitation. The black precipitation was washed 3 – 4 times with distilled water. Finally the solution was centrifuged and dried in air for one day. The CuO nanoparticles were characterized by studying their structure with X-ray diffraction and composition by energy dispersive X-ray analysis. The size of the nanoparticles is estimated by particle size analyzer and transmission electron microscopy. The optical studies were carried out with Uv-Vis spectrophotometer.
Wearable Wireless Body Area Nodes for Remote Physiological Signal Monitoring System  [PDF]
M. G. Srinivasa, P. S. Pandian
Journal of Biomedical Science and Engineering (JBiSE) , 2019, DOI: 10.4236/jbise.2019.122011
Abstract: Wearable remote health monitoring systems have gained significant prominence in the recent years due to their growth in technological advances. One form of the Wearable Physiological Monitoring System (WPMS) is the Wearable Body Area Networks (WBAN) used to monitor the health status of the wearer for long durations. The paper discusses a prototype WBAN based wearable physiological monitoring system to monitor physiological parameters such as Electrocardiogram (ECG) and Electroencephalogram (EEG) acquired using a textile electrode, Photoplethysmogram (PPG), Galvanic Skin Response (GSR), Blood Pressure derived from analysis of Pulse Transmit Time (PTT) and body temperature. The WBAN consists of three sensor nodes that are placed strategically to acquire the physiological signals and the sensor nodes communicate to a chest/wrist worn sink node also known as wearable data acquisition hardware. The sink node receives physiological data from the sensor nodes and is transmitted to a remote monitoring station. The remote monitoring station receives the raw data and it is processed to remove noises, such as power line interference, baseline wander and tremor in the signals and the information is extracted and displayed. The WBANs are designed using the ZigBee wireless communication modules to transmit and receive the data. At the remote monitoring station the physiological parameters such as heart rate, pulse rate, systolic, diastolic blood pressure, GSR and body temperature are continuously monitored from the wearer. The data acquired from the wearable monitoring system is statically validated using a qualified medical device on 34 subjects.
Factors influencing the result of strabismus surgery
Srinivasa Rao P
Indian Journal of Ophthalmology , 1965,
Neural Network Modeling and Prediction of Surface Roughness in Machining Aluminum Alloys  [PDF]
N. Fang, N. Fang, P. Srinivasa Pai, N. Edwards
Journal of Computer and Communications (JCC) , 2016, DOI: 10.4236/jcc.2016.45001

Artificial neural network is a powerful technique of computational intelligence and has been applied in a variety of fields such as engineering and computer science. This paper deals with the neural network modeling and prediction of surface roughness in machining aluminum alloys using data collected from both force and vibration sensors. Two neural network models, including a Multi-Layer Perceptron (MLP) model and a Radial Basis Function (RBF) model, were developed in the present study. Each model includes eight inputs and five outputs. The eight inputs include the cutting speed, the ratio of the feed rate to the tool-edge radius, cutting forces in three directions, and cutting vibrations in three directions. The five outputs are five surface roughness parameters. Described in detail is how training and test data were generated from real-world machining experiments that covered a wide range of cutting conditions. The results show that the MLP model provides significantly higher accuracy of prediction for surface roughness than does the RBF model.

Therapeutic Implications of Targeting AKT Signaling in Melanoma
SubbaRao V. Madhunapantula,Gavin P. Robertson
Enzyme Research , 2011, DOI: 10.4061/2011/327923
Abstract: Identification of key enzymes regulating melanoma progression and drug resistance has the potential to lead to the development of novel, more effective targeted agents for inhibiting this deadly form of skin cancer. The Akt3, also known as protein kinase B gamma, pathway enzymes regulate diverse cellular processes including proliferation, survival, and invasion thereby promoting the development of melanoma. Accumulating preclinical evidence demonstrates that therapeutic agents targeting these kinases alone or in combination with other pathway members could be effective for the long-term treatment of advanced-stage disease. However, currently, no selective and effective therapeutic agent targeting these kinases has been identified for clinical use. This paper provides an overview of the key enzymes of the PI3K pathway with emphasis placed on Akt3 and the negative regulator of this kinase called PTEN (phosphatase and tensin homolog deleted on chromosome 10). Mechanisms regulating these enzymes, their substrates and therapeutic implications of targeting these proteins to treat melanoma are also discussed. Finally, key issues that remain to be answered and future directions for interested researchers pertaining to this signaling cascade are highlighted. 1. Introduction Kinases and phosphatases are the key components of signaling cascades regulating metabolic processes such as cell survival, proliferation, apoptosis, differentiation, and cell motility [1–4]. Aberrant expression and activities of these enzymes have been reported to lead to the development of several cancers including melanoma [4–10]. Due to genetic and epigenetic modifications, deregulating oncogenic kinases and tumor inhibitory proteins, melanocytes acquire transformed characteristics leading to malignant melanoma [4–10]. Members of the PI3K and Akt3 signaling cascades have been implicated in initiation, progression, invasive, and drug resistance phenotypes of melanomas [1–4]. Enzymes in this signaling cascade are therefore attractive targets for treating or preventing melanoma development [11–13]. This paper provides an overview of enzymes involved in PI3K-Akt signaling pathway focusing specifically on the tumor suppressor phosphatase PTEN, lipid kinase PI3K, and the oncogenic survival kinase Akt3. Key structural features, mechanisms regulating the expressionm and activities of these proteins as well as therapeutic implications of targeting this pathway to treat melanoma are reviewed. 1.1. Tumor Suppressor PTEN Is a Key Phosphatase Regulating PI3K-Akt3 Signaling and Thereby Melanoma
Effect of polymer additives on the mechanics of slow draining of large tank under gravity
Ch. V. Subbarao,P. King,VSRK Prasad
Journal of Engineering and Applied Sciences , 2008,
Abstract: A mathematical equation for efflux time for gravity draining of a Newtonian liquid from a large cylindrical tank through an exit pipe located at the bottom of tank when the flow in the pipe line is turbulent is developed based on macroscopic balances. The equation is fine tuned with the experimental data and an empirical equation for friction factor is developed. The efflux time equation so developed will be of use in arriving at the minimum time required for draining the tank. When the flow is mixed, i.e. partly laminar and partly turbulent, gravity driven and once through (as is the case in the above), the effect of addition of water soluble Polyacrylamide Polymer on drag reduction is expressed in terms of % reduction in efflux time. Based on the efflux time for different solutions, empirical equations for friction factor are developed. The concentration of Polymer which gives maximum drag reduction is also established.
Thermodynamic Analysis of Rankine-Kalina Combined Cycle
R. S. Murugan,P. M. V. Subbarao
International Journal of Thermodynamics , 2008, DOI: 10.5541/ijot.221
Abstract: Efficiency enhancement in a low grade fuel fired power plant is one of the challenging tasks for researchers. In a low grade fuel fired power plant even a fraction of a percentage improvement in efficiency implies a huge savings in annual fuel costs. Mainly, the poor vapor quality of steam in the last stages of an LP turbine and energy loss in the condenser deteriorates the Rankine steam cycle performance. Reducing the amount of energy loss in the condenser and minimizing two-phase fluid operation in last stages of the LP turbine can substantially improve the cycle efficiency. The objective is to reduce the energy losses and to enhance the system performance. In this work a direct-fired 82.2 MWfuel biomass fueled condensing power Rankine cycle is considered for performance improvement. Energy and exergy analysis are performed for the proposed Rankine-Kalina combined cycle (RKC). The RKC cycle produces higher power output and is more efficient than a Rankine steam cycle.
Active systemic lesions in cases of suspected ocular tuberculosis
Srinivasa Rao P,Bhat K
Indian Journal of Ophthalmology , 1967,
Ocular morbidity in school children in rural coastal area of Karnataka
Kuruvilla James,Srinivasa Rao P
Indian Journal of Ophthalmology , 1978,
Unilateral proptosis, its management and rehabilitation-(a case report)
Kuruvilla James,Srinivasa Rao P
Indian Journal of Ophthalmology , 1977,
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