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Search Results: 1 - 10 of 422 matches for " Sunda Mukesh "
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TRANSFEROSOME: THE DRUG LOADED ULTRADEFORMABLE VESICLES FOR TRANSDERMAL DRUG DELIVERY
Kaushik Avinash,Dwivedi Abha,Sunda Mukesh
International Research Journal of Pharmacy , 2011,
Abstract: Now a days, The novel drug delivery system is creating a new interest in development of drug deliveries. Vesicular drug delivery system in also a part of this novel drug delivery system which is designed according to the recent demands of treatment like sustain release of drug in systemic circulation, definite dosing interval. Transferosomes are part of this vesicular drug delivery system which are altered deformable vesicles used to enhance skin penetration. It is also a controlled & targeted drug delivery system which is used to increase the existence of drug in systemic circulation & decrease the toxicity.Transferosomes are proposed for variety of applications in humans like as carrier for insulin & vaccines. In this review, we mainly focus on transferosome with its applications, limitations, advantages & preparation.
Mathematical Modeling of the Transmission Dynamics of Fowl Pox in Poultry
Udofia Ekere Sunda,Inyama Simeon Chioma
Journal of Modern Mathematics and Statistics , 2012, DOI: 10.3923/jmmstat.2011.106.111
Abstract: In this study, researchers present two models that examine the transmission dynamics of fowl pox among birds based on the mode of transmission of the disease in poultry. Using methods from dynamical systems theory equilibrium analysis of the first model showed that the disease free equilibrium is stable if α N <(d1+μ+r1), β<γ. The endemic equilibrium is asymptotically stable if β-γ<α (d1+μ+r1)/k. That is, fowl pox will not invade the poultry if the rate at which the susceptible birds (β) are introduced into the poultry is greater than the rate at which the susceptible birds become exposed to infection (γ). It was also established that R0<1 if S0>Sc where Sc = (d1+μ+r1)/α and R0 = γ S0/(d1+μ+r1). The second model is stable if the rate at which the infected birds recover and the rate at which mosquitoes die are high. Also if the growth rate of mosquito is less than the death rate of mosquito.
Improvement of Position Accuracy with GAGAN and the Impact of Scintillation on GNSS  [PDF]
Surendra Sunda, B. M. Vyas, S. V. Satish, K. S. Parikh
Positioning (POS) , 2013, DOI: 10.4236/pos.2013.44028
Abstract:

GAGAN is an Indian implementation of Satellite Based Augmentation System (SBAS), developed jointly by Airports Authority of India (AAI) and Indian Space Research Organisation (ISRO). It is in final operational phase with all the required ground and space segments ready. With the availability of GAGAN signal-in-space (SIS), the improvement in position solution is investigated using the two collocated dual frequency GPS receivers. One of the receivers was configured as SBAS receiver and the other was kept as GPS stand-alone receiver. It is found that accuracy in position improved significantly in SBAS receiver due to GAGAN correction. The impact of scintillation on GNSS was also investigated in terms of position degradation and loss of lock of the satellite signals. The manyfold effects of scintillation on GPS and SBAS are discussed in detail. The results indicate ~15% reduction in number of measurements due to loss of lock during severe scintillation.

MDS and Trilateration Based Localization in Wireless Sensor Network  [PDF]
Shailaja Patil, Mukesh Zaveri
Wireless Sensor Network (WSN) , 2011, DOI: 10.4236/wsn.2011.36023
Abstract: Localization of sensor nodes is crucial in Wireless Sensor Network because of applications like surveillance, tracking, navigation etc. Various optimization techniques for localization have been proposed in literature by different researchers. In this paper, we propose a two phase hybrid approach for localization using Multidi- mensional Scaling and trilateration, namely, MDS with refinement using trilateration. Trilateration refines the estimated locations obtained by the MDS algorithm and hence acts as a post optimizer which improves the accuracy of the estimated positions of sensor nodes. Through extensive simulations, we have shown that the proposed algorithm is more robust to noise than previous approaches and provides higher accuracy for estimating the positions of sensor nodes.
Banach Λ-Frames for Operator Spaces  [PDF]
Mukesh Singh, Renu Chugh
Advances in Pure Mathematics (APM) , 2014, DOI: 10.4236/apm.2014.48048
Abstract:

The Banach frame for a Banach space X can reconstruct each vector in X by the pre-frame operator or the reconstruction operator. The Banach Λ-frame for operator spaces was introduced by Kaushik, Vashisht and Khattar [Reconstruction Property and Frames in Banach Spaces, Palestine Journal of Mathematics, 3(1), 2014, 11-26]. In this paper we give necessary and sufficient conditions for the existence of the Banach Λ-frames. A Paley-Wiener type stability theorem for Λ-Banach frames is discussed.

K-Means Graph Database Clustering and Matching for Fingerprint Recognition  [PDF]
Vaishali Pawar, Mukesh Zaveri
Intelligent Information Management (IIM) , 2015, DOI: 10.4236/iim.2015.74019
Abstract: The graph can contain huge amount of data. It is heavily used for pattern recognition and matching tasks like symbol recognition, information retrieval, data mining etc. In all these applications, the objects or underlying data are represented in the form of graph and graph based matching is performed. The conventional algorithms of graph matching have higher complexity. This is because the most of the applications have large number of sub graphs and the matching of these sub graphs becomes computationally expensive. In this paper, we propose a graph based novel algorithm for fingerprint recognition. In our work we perform graph based clustering which reduces the computational complexity heavily. In our algorithm, we exploit structural features of the fingerprint for K-means clustering of the database. The proposed algorithm is evaluated using realtime fingerprint database and the simulation results show that our algorithm outperforms the existing algorithm for the same task.
Graph Based Filtering and Matching for Symbol Recognition  [PDF]
Vaishali Pawar, Mukesh Zaveri
Journal of Signal and Information Processing (JSIP) , 2018, DOI: 10.4236/jsip.2018.93010
Abstract: Pattern recognition is a task of searching particular patterns or features in the given input. The data mining, computer networks, genetic engineering, chemical structure analysis, web services etc. are few rapidly growing applications where pattern recognition has been used. Graphs are very powerful model applied in various areas of computer science and engineering. This paper proposes a graph based algorithm for performing the graphical symbol recognition. In the proposed approach, a graph based filtering prior to the matching is performed which significantly reduces the computational complexity. The proposed algorithm is evaluated using a large number of input drawings and the simulation results show that the proposed algorithm outperforms the existing algorithms.
Pancreatic Cancer Biomarkers and Their Implication in Cancer Diagnosis and Epidemiology
Mukesh Verma
Cancers , 2010, DOI: 10.3390/cancers2041830
Abstract: Pancreatic cancer is the fourth most common cause of cancer-related mortality in the United States. Biomarkers are needed to detect this cancer early during the disease development and for screening populations to identify those who are at risk. In cancer, “biomarker” refers to a substance or process that is indicative of the presence of cancer in the body. A biomarker might be either a molecule secreted by a tumor or it can be a specific response of the body to the presence of cancer. Genetic, epigenetic, proteomic, glycomic, and imaging biomarkers can be used for cancer diagnosis, prognosis, and epidemiology. A number of potential biomarkers have been identified for pancreatic cancer. These markers can be assayed in non-invasively collected biofluids. These biomarkers need analytical and clinical validation so that they can be used for the purpose of screening and diagnosing pancreatic cancer and determining disease prognosis. In this article, the latest developments in pancreatic cancer biomarkers are discussed.
Personalized Medicine and Cancer
Mukesh Verma
Journal of Personalized Medicine , 2012, DOI: 10.3390/jpm2010001
Abstract: Cancer is one of the leading causes of death in the United States, and more than 1.5 million new cases and more than 0.5 million deaths were reported during 2010 in the United States alone. Following completion of the sequencing of the human genome, substantial progress has been made in characterizing the human epigenome, proteome, and metabolome; a better understanding of pharmacogenomics has been developed, and the potential for customizing health care for the individual has grown tremendously. Recently, personalized medicine has mainly involved the systematic use of genetic or other information about an individual patient to select or optimize that patient’s preventative and therapeutic care. Molecular profiling in healthy and cancer patient samples may allow for a greater degree of personalized medicine than is currently available. Information about a patient’s proteinaceous, genetic, and metabolic profile could be used to tailor medical care to that individual’s needs. A key attribute of this medical model is the development of companion diagnostics, whereby molecular assays that measure levels of proteins, genes, or specific mutations are used to provide a specific therapy for an individual’s condition by stratifying disease status, selecting the proper medication, and tailoring dosages to that patient’s specific needs. Additionally, such methods can be used to assess a patient’s risk factors for a number of conditions and to tailor individual preventative treatments. Recent advances, challenges, and future perspectives of personalized medicine in cancer are discussed.
A Case Study and Survey-Based Assessment of the Management of Innovation and Technology
Srivastava,Mukesh;
Journal of technology management & innovation , 2011, DOI: 10.4067/S0718-27242011000100012
Abstract: this paper provides a case study of a real-world organization and its management of technology and innovation (mti). the study examines the structure, environment, and resources of the organization as they pertain to the mti. specifically, the organization is examined for the alignment of the mti to the strategy and the competitive advantages. subjective assessment of the state of mti is made based on this examination. to support the assessment, the case study is augmented with survey data that examines perceptions of employees to the mti, the alignment of the mti as stated above, and several documented antecedents of creative and innovative organizations. the research concludes with recommendations for improvement based on propositions regarding the antecedents and correlation to the state of the mti.
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