11,041 research outputs found

    Development of Java based graphical user interface for Diagnosis of Hepatitis UsingI Mixture of Expert

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    Hepatitis is deadly, and the fifth leading cause of death after heart disease, stroke, chest disease and cancer. Worldwide, 1.5 million deaths per year have been estimated. Detection of hepatitis is a big problem for general practitioners. An expert doctor commonly makes decisions by evaluating the current test results of a patient or by comparing the patient with others with the same condition with reference to the previous decisions. Many machine learning and data mining techniques have been designed for the automatic diagnosis of hepatitis. However, no one tool is available to the general population for the diagnosis of Hepatitis. Hence, a graphical user interface-enabled tool needs to be developed, through which medical practitioners can feed patient data easily and find hepatitis diagnoses instantly and accurately. 
Methods: In this study a hepatitis dataset was taken from the UCI machine repository database with a total of 20 attributes of two classes, Affected and Not Affected. 
Results and Conclusion: The models have been generated with a mixture of experts as a classification method for the diagnosis of hepatitis. Very good accuracy has been observed in the generated models. Finally, the model having the least minimum square error was selected. This model was then linked with GUI for the design of tools for hepatitis prediction

    Blood Transfusions: Are They Life Saving or Transfusing Infections?

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    Introduction: There is a risk of 1 - 2 per 1000 recipients receiving contaminated blood with viral, bacterial and parasitic agents.TTI’S are the most commonly encountered complications in transfusion medicine. The objective of the study was to determine the seroprevalence of TTI’s among blood donors, who represent healthy population at large. Materials & methods: A total of 33,658 blood units were received from voluntary and replacement donors over a period of 5 years. Surface antigen of HBV and antibodies to HIV and HCV were determined using ELISA. Syphilis was detected using TPHA test. Results: 947 (2.81%) blood units tested positive for HBV, HCV, HIV and / or syphilis. Overall prevalence was HBV – 1.77%, HCV – 0.13%, HIV – 0.63% and Syphilis – 0.28%. Nine (0.03%) donors had coinfections. Conclusion: The screening of blood donors is the corner stone in assuring the safety of blood transfusion

    Nanomaterials in Sewage Treatment for Cleaning River Yamuna from the Lenses of the Responsible Innovation

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    World over rivers, particularly in and around urban canters are facing severe threat of the ‘pollution’. Though the river pollutions are highly specific to the cultural setting of the city, still driven by the technological fixes, at policy level, unrestrained faith is reposed in the capabilities of the technology. Such ‘black boxing’ of the technology marginalizes the innovative potential to address the environmental issues faced by the society. Interaction between the society and technology is nuanced phenomenon. Without due consideration of the ‘risk & safety’ and ‘values’, the responsible nature of both, technology as well as innovative process, comes under question mark. To study these nuanced and complicated interactions, this paper has selected river Yamuna in National Capital Region (NCR) of India as case study. After Failure of earlier programs to ‘clean’ the Yamuna in Delhi, Nanotechnology has been propagated at the policy level with certain claims regarding the potential of the nanotechnology. Objective of this study was to analyse the ‘true potential’ of nanotechnology to clean the river Yamuna in NCR. This paper has been divided into four parts. The first part is about the background of the case study which would reflect on the convergence of various problems associated with the river pollution in general and Yamuna in particular. The second part has discussed the adopted framework of the ‘Responsible Innovation’ and a need to broaden and implement the framework in case studies. The third part is focused on the method of the data collection and procedures adopted. Finally, the findings and conclusions on case study are discussed in fourth part.

    Trust Based Participant Driven Privacy Control in Participatory Sensing

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    Widespread use of sensors and multisensory personal devices generate a lot of personal information. Sharing this information with others could help in various ways. However, this information may be misused when shared with all. Sharing of information between trusted parties overcomes this problem. This paper describes a model to share information based on interactions and opinions to build trust among peers. It also considers institutional and other controls, which influence the behaviour of the peers. The trust and control build confidence. The computed confidence bespeaks whether to reveal information or not thereby increasing trusted cooperation among peers.Comment: 14 page

    Theatres in India after Independence with Special Reference to Mahesh Dattani’s works

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    Theater in India as its very ancient origin. The earliest form of classical theater of India was the Sanskrit theater. Modern Indian theater developed during the period of colonial rule under the British Empire. In order to restrict the use of the theater the British government imposed dramatic Performance act. But after independence the use of theater flourished and gradually kept on improving. Accordingly the new narrative style and techniques also developed. Theaters across all over India evolved and embellished with different names in different regions. Among the many forms of Indian folk theatre. Bhavai is a popular folk theatre form of Gujarat, Bhaona and AnkiyaNats have been practicing in Assam .Jatra has been popular in Bengal . Another folk theatre form popular in Haryana, Uttar Pradesh and Malwa region of Madhya Pradesh is Swang, which is dialogue-oriented rather than movement-oriented. Yakshagana is a very popular theatre art in Karnataka. Kathakali is a form of dance-drama, characteristic of Kerala. The various dramatist since early 19th century to the modern era have been experimenting on dramaturgy and hence improvising the narrative techniques since independence. In this paper I have specially discussed Mahesh Dattani\u27s technical craftsmanship, their skillful enactment on stage, how it becomes effective with his stage directions.Dattani\u27s plays are crafted meticulously and the dramatic tensions are carefully built up. Most of his plays have the feministic aspects and the gender biased issues of today\u27s society

    Performance Analysis of LEACH, SEP and ZSEP under the Influence of Energy

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    For any wireless sensor network to work effectively and efficiently in any kind of environment, preventing it from any kind of attack internally and externally, it is very important to setup the network keeping in mind the various parameters which must be considered. Some of the most important parameters are energy consumption, throughput, network area and initial energy that we give to the network. Another most important thing is the protocol that we use in the network. In this paper, the wireless sensor network is setup using LEACH (Low Energy Adaptive Clustering Hierarchy), then SEP (Stable Election Protocol) and then ZSEP (Zonal Stable Election Protocol) and then initial energy that we give to the network is varied keeping the network area constant. The effect of change in initial energy is studied on these protocols and their performance is analyzed

    COUMARIN (ESCULETIN) - AN ANTIRHEUMATOID ARTHRITIC COMPOUND: AN UPDATE

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    Context: Esculetin is a natural polyphenolic compound. It is chemically 6,7-dihydroxycoumarin and one of the ingredients of Cortex fraxini, a Chinese traditional medicine. It is used as a dietary supplement and found as non-toxic. Recently, there are many research works evaluated on esculetin in arthritis with supported molecular mechanisms.Objectives: Esculetin becoming more attractive prodrug for arthritis. Hence, the present minireview will consolidate the targeted site of esculetin in the treatment of arthritis over the past decade.Results: The most important molecular mechanism of esculetin is an antioxidant activities with decreased level of reactive oxygen species/reactive nitrogen species. It also inhibited lipoxygenase 5, lipoxygenase 12, and tyrosinase enzymes. It reduces the inflammation by modulating the key inflammatory enzyme matrix metalloproteinase-1 activity. It also lowers the nitrous oxide and prostaglandin E2 level in synovial fluid. Esculetin derivatives such as 5-methoxy esculetin inhibited the activity of nitrogen-activated protein kinases. The updated data also reveal that esculetin suppresses the leukotriene B4 level in plasma of adjuvant-induced arthritis tested animals.Conclusion: The presented update showed that esculetin may be useful as a tool in regulating the mechanism and physiological functions of the inflammatory mediators and enzyme. Hence, the presented review work may be considered as a scientific proof for the development of an attractive drug candidate for the patient with rheumatoid arthritis

    Genome-Wide Computational Prediction and Analysis of Core Promoter Elements across Plant Monocots and Dicots

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    Transcription initiation, essential to gene expression regulation, involves recruitment of basal transcription factors to the core promoter elements (CPEs). The distribution of currently known CPEs across plant genomes is largely unknown. This is the first large scale genome-wide report on the computational prediction of CPEs across eight plant genomes to help better understand the transcription initiation complex assembly. The distribution of thirteen known CPEs across four monocots (Brachypodium distachyon, Oryza sativa ssp. japonica, Sorghum bicolor, Zea mays) and four dicots (Arabidopsis thaliana, Populus trichocarpa, Vitis vinifera, Glycine max) reveals the structural organization of the core promoter in relation to the TATA-box as well as with respect to other CPEs. The distribution of known CPE motifs with respect to transcription start site (TSS) exhibited positional conservation within monocots and dicots with slight differences across all eight genomes. Further, a more refined subset of annotated genes based on orthologs of the model monocot (O. sativa ssp. japonica) and dicot (A. thaliana) genomes supported the positional distribution of these thirteen known CPEs. DNA free energy profiles provided evidence that the structural properties of promoter regions are distinctly different from that of the non-regulatory genome sequence. It also showed that monocot core promoters have lower DNA free energy than dicot core promoters. The comparison of monocot and dicot promoter sequences highlights both the similarities and differences in the core promoter architecture irrespective of the species-specific nucleotide bias. This study will be useful for future work related to genome annotation projects and can inspire research efforts aimed to better understand regulatory mechanisms of transcription
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