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Search Results: 1 - 10 of 401497 matches for " Sobha M. Rani "
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Sero-Prevalence of Paratuberculosis (Johne's Disease) in Cattle Population of South-Western Bangalore Using ELISA Kit  [PDF]
Anvita Gupta, Sobha M. Rani, Pushpa Agrawal, Praveen Kumar Gupta
Open Journal of Veterinary Medicine (OJVM) , 2012, DOI: 10.4236/ojvm.2012.24031
Abstract: Johne's disease or paratuberculosis is a chronic mycobacterial infection that affects cattle, sheep, goats and other ruminants, adversely, leading to huge economic losses throughout the world. The estimation of sero-prevalence of this disease in the cattle population of south-western Bangalore, Karnataka, using an immunological assay and statistical analyses, was the objective of this study. One of the diagnostic tools used to detect an antigen or an antibody in animal serum or milk is the Enzyme Linked Immuno-Sorbent Assay, which has been widely used in the research and diagnosis of animal and human diseases as its accuracy is of nanogram-picogram/milliltre level. In the present study, indirect-ELISA was used to diagnose and estimate the sero-prevalence of paratuberculosis in cattle showing diarrhoea and/or anaemia, at 5 local dairy farms in south-west Bangalore, India. Out of 350 bovine serum samples, 53 (15.14%) were positive, 55 milk samples out of 300 were found positive (18.33%) for antibody against Johne's disease by indirect ELISA. The positive samples were then confirmed by direct smear examination of dung by Ziehl-Neelsen staining. Statistical analyses were carried out to indicate the seroprevalence of Johne's disease in the cattle population of this region to be 15 ± 10%, taking a confidence interval of 95%. The results emphasize the need to prevent the further spread of infection to other susceptible animals and humans as the causative organism, Mycobacterium avium subsp. paratuberculosis is implicated in Crohn's disease, an irritable bowel syndrome in humans.
Dillivaraprasad E,Mastan M,Sobha Rani T,Siddalingesh M.Banakar
International Research Journal of Pharmacy , 2012,
Abstract: The reaction of 2-aryl-1H-indole-3-carboxaldehydes with substituted acetophenones in ethylene glycol and piperidine as a base gives the (E)-3-(2-(4-substitutedphenyl)-1H-indol-3-yl)-(4-substitutedphenyl) prop-2-en-1-one [4a-4f] in 60-70% yield after column purification. The purity of the compounds was checked by TLC in ethylacetate: hexane (3:7). The structures of the all the compounds were established by 1H – NMR, LCMS analysis. The synthesized compounds (4a-4f) were evaluated for their anti-inflammatory activity.
P.Sobha Rani,Dr.A.Lakshmi Devi
International Journal of Engineering Science and Technology , 2012,
Abstract: Distributed generators are beneficial in reducing the losses effectively compared to other methods of loss reduction. The challenge of identifying the optimal locations and sizes of DG has generated research interests all over the world and many efforts have been made in this direction. Studies have indicated that inappropriatelocations and sizes of DG may lead to higher system losses than the ones in the existing network. In this paper IEEE 33-bus system is selected for locating and sizing of optimal distributed generation source. The DG unit size is calculated using exact loss formula. With the optimal size of DG unit at a suitable location and at optimalpower factor, it resulted in reduction in power losses and improvement in voltage profile.
Achieving Information Accountability in Cloud Computing Environment
P Sobha Rani,V. Sangeeta,P.Suresh Babu
International Journal of Computer & Electronics Research , 2013,
Abstract: Cloud Computing is a subscription-based service where you can obtain the networked storage space and computer resources. In cloud computing model, customers plug into the cloud to access IT resources which are priced and provided on demand services. The major feature of the cloud computing is that user’s data are processed in remote machines, which are unknown to the data owners. Here the security breaches are raised. Users fear about their data control, so that they needed to account their data, which are stored in the cloud. Accountability is the most critical prerequisite for effective governance and control of corporate and private data processed by cloud-based IT services. Accountability is the agreement to act as in authority proctor of the personal information of others, to take accountability for security and applicable use of that information beyond the legal requirements, and to be held responsible for misuse of that information. This paper presents a method for information accountability in the cloud computing environment.
ANFIS based UPFC supplementary controller for damping low frequency oscillations in power systems
M. Sobha,R. Sreerama kumar,Saly George
Journal of Electrical Systems , 2007,
Abstract: An adaptive neuro- fuzzy inference system (ANFIS) based supplementary Unified Power Flow Controller (UPFC) to superimpose the damping function on the control signal of UPFC is proposed. By using a hybrid learning procedure, the proposed ANFIS construct an input –output mapping based on stipulated input-output data pairs. The linguistic rules, considering the dependence of the plant output on the controlling signal are used to build the initial fuzzy inference structure. On the basis of linearized Philips-Hefron model of power system installed with UPFC, the damping function of the UPFC with various alternative UPFC control signals are investigated. In the simulations under widely varying operating conditions and system parameters, ANFIS based controller yields improved performance when compared with constant gain controller, based on phase compensation technique. To validate the robustness of the proposed technique, the approach is integrated to a multi-machine power system and the nonlinear simulation results are presented
Efficiency of ultrasound guided aspiration cytology in deep seated lesions - a diagnostic evaluation
Sobha Rani G,Md K Faheem N,Sai Prasad B V,Sudhakar Reddy E
International Journal of Medical and Health Sciences , 2012,
Abstract: BACKGROUND: Deep seated lesions, in the body are always a source of confusion and chaos in clinical surgical practice. Accuracy of guided Fine Needle Aspiration Cytology is potentially efficient, when it is carried out by the experienced practitioner, and approach to the diagnosis is made easy, by – by passing surgical procedures like diagnostic laparotomy and excision. AIMS: To assess the feasibility of guided fine Needle Aspiration Cytology in deep seated lesions. OBJECTIVES: To study the cytological features in accordance with lesions in different organs of body, correlating with age and sex distribution, categorizing the behavior of lesions and studying the statistical structure of various lesions. MATERIALS AND METHODS: Study includes 100 Deep seated lesions, detected clinically and radiologically, divided into palpable and non-palpable lesions and appropriate radiological investigations were carried out. A classification was done according to organ involved. Smears were made, routine and special stains were used wherever necessary and cytomorphological features were studied. RESULTS: Maximum number of patients in the study was in 5th decade, Male: Female – 3:1; Most of the lesions were malignant and majority of lesions are observed in Liver (30%). Secondary deposits (metastatic lesions) in Liver were the most common lesion noted. Sensitivity -90%; Specificity – 100%; Positive Predictive Value is 100%; Negative Predictive Value – 60%. CONCLUSION: Guided Fine Needle Aspiration is safe, simple and efficient procedure to reach the door step of accurate diagnosis. Its potential to diagnose the deep seated lesions is evident by its high rates of Sensitivity; Specificity; Diagnostic Accuracy and Positive Predictive Value. Thus, it can be utilized as a standard technique for pre-operative technique for majority of Deep seated lesions.
Masseter muscle thickness in different skeletal morphology: An ultrasonographic study
Rani Sushma,Ravi M
Indian Journal of Dental Research , 2010,
Abstract: Background: The thickness of the masseter muscle during relaxation and contraction states was measured by ultrasonography. Subjects were classified according to their sagittal skeletal relationships. The association between muscle thickness and facial morphology was studied. Context: Masseter muscle thickness influences the skeletal patterns. Aim: To measure and compare the thickness of the masseter muscle in individuals with skeletal class I occlusion and skeletal class II malocclusions and to correlate its relationship with craniofacial morphology. Settings and Design: The study was conducted in a hospital setup and was designed to study the thickness of the masseter muscle in different skeletal morphologies. Materials and Methods: Seventy two individuals between the ages of 18 and 25 years were divided into Group I, Group IIA and Group IIB according to their skeletal relationships. Masseter muscle thickness was measured by ultrasonography. Eight linear and six angular cephalometric measurements were assessed. Statistical Analysis Used: Analysis of variance and Pearson′s correlation analysis. Results: There was a statistically significant difference in muscle thickness between subjects of different skeletal patterns. Significant positive correlation between masseter muscle thickness and posterior total face height, jarabak ratio, ramus height, mandibular length and significant negative correlations with mandibular plane angle, gonial angle and PP-MP angle were observed. Conclusion: This study indicates the strong association between the masseter muscle and skeletal morphology.
Performance Analysis of Vision-Based Deep Web Data Extraction for Web Document Clustering
M. Lavanya,Usha Rani
International Journal of Computer Science Issues , 2013,
Abstract: Web Data Extraction is a critical task by applying various scientific tools and in a broad range of application domains. To extract data from multiple web sites are becoming more obscure, as well to design of web information extraction systems becomes more complex and time-consuming. We also present in this paper so far various risks in web data extraction. Identifying data region from web is a noteworthy crisis for information extraction from the web page. In this paper, performance of vision-based deep web data extraction for web document clustering is presented with experimental result. The proposed approach comprises of two phases: 1) Vision-based web data extraction, where output of phase I is given to second phase and 2) web document clustering. In phase 1, the web page information is segmented into various chunks. From which, surplus noise and duplicate chunks are removed using three parameters, such as hyperlink percentage, noise score and cosine similarity. To identify the relevant chunk, three parameters such as Title word Relevancy, Keyword frequency-based chunk selection, Position features are used and then, a set of keywords are extracted from those main chunks. Finally, the extracted keywords are subjected to web document clustering using Fuzzy c-means clustering (FCM). The experimentation has been performed on two different datasets and the results showed that the proposed VDEC method can achieve stable and good results of about 99.2% and 99.1% precision value in both datasets.
K-essence Models and Cosmic Acceleration in Generalized Teleparallel Gravity
M. Sharif,Shamaila Rani
Physics , 2011, DOI: 10.1088/0031-8949/84/05/055005
Abstract: The generalized teleparallel gravity has been suggested to explain the present cosmic acceleration of the universe. In this paper, we take spatially homogenous and anisotropic Bianchi type $I$ universe in the framework of $F(T)$ gravity. The behavior of accelerating universe is investigated for three purely kinetic k-essence models. We explore equation of state parameter and deceleration parameter for these k-essence models. It is found that all these models exhibit quintessence behavior of the universe.
F(T) Models within Bianchi Type I Universe
M. Sharif,Shamaila Rani
Physics , 2011, DOI: 10.1142/S0217732311036127
Abstract: In this paper, we consider spatially homogenous and anisotropic Bianchi type I universe in the context of F(T) gravity. We construct some corresponding models using conservation equation and equation of state parameter representing different phases of the universe. In particular, we take matter dominated era, radiation dominated era, present dark energy phase and their combinations. It is found that one of the models has a constant solution which may correspond to the cosmological constant. We also derive equation of state parameter by using two well-known F(T) models and discuss cosmic acceleration.
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