944 research outputs found

    Analysis of Mass Based and Density Based Clustering Techniques on Numerical Datasets

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    Clustering is the techniques adopted by data mining tools across a range of application . It provides several algorithms that can assess large data set based on specific parameters & group related points  . This paper gives comparative analysis of density based clustering algorithms and mass based clustering algorithms. DBSCAN [15] is a base algorithm for density based clustering techniques. One of the advantages of using these techniques is that method does not require the number of clusters to be given a prior and it can detect the clusters of different shapes and sizes from large amount of data which contains noise and outliers. OPTICS [14] on the other hand does not produce a clustering of a data set explicitly, but instead creates an augmented ordering of the database representing its density based clustering structure. Mass based clustering algorithm   mass estimation technique is used (it is alternate of density based clustering) .In Mass based clustering algorithm [22] there are also core regions and noise points are used as a parameter. We analyze the algorithms in terms of the parameters essential for creating meaningful clusters. All the algorithms are tested using numerical data sets for low as well as high dimensional data sets. Keywords: Mass Based (DEMassDBSCAN) ,DBSCAN,OPTICS

    Production of tetanus toxin by using media substantially free from meat and blood

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    The present study was to redesign the conventional Mueller and Miller medium to produce tetanus toxin from Clostridium tetani. Meat based ingredients (such as Bovine Heart/ Brain/ Liver Infusion) were replaced with vegetable peptone & alternate casein hydrolysate and scaled up from 100mL to 1000mL. Modified Mueller and Miller Medium containing vegetable peptone (substitute of BHI) and alternate casein hydrolysate were used for production and scale -up of tetanus toxin. Detoxification of tetanus toxin was carried out by using formaldehyde to produce tetanus toxoid. Purification of tetanus toxoid was achieved by fractional precipitation. It was found that under optimum conditions, use of meat free media leads to production of tetanus toxin with equal limes flocculation (Lf) titer and high antigenic content at par with conventional meat based media without any post vaccination infections. The yield of toxin was improved during scale-up of the process. The present study provides a method for growth of Clostridium tetani that maximizes tetanus toxin production without any use of animal-derived components

    Estrogen treatment decreases matrix metalloproteinase (MMP)-9 in autoimmune demyelinating disease through estrogen receptor alpha (ERalpha).

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    Matrix metalloproteinases (MMPs) have a crucial function in migration of inflammatory cells into the central nervous system (CNS). Levels of MMP-9 are elevated in multiple sclerosis (MS) and predict the occurrence of new active lesions on magnetic resonance imaging (MRI). This translational study aims to determine whether in vivo treatment with the pregnancy hormone estriol affects MMP-9 levels from immune cells in patients with MS and mice with experimental autoimmune encephalomyelitis (EAE). Peripheral blood mononuclear cells (PBMCs) collected from three female MS patients treated with estriol and splenocytes from EAE mice treated with estriol, estrogen receptor (ER) alpha ligand, ERbeta ligand or vehicle were stimulated ex vivo and analyzed for levels of MMP-9. Markers of CNS infiltration were assessed using MRI in patients and immunohistochemistry in mice. Supernatants from PBMCs obtained during estriol treatment in female MS patients showed significantly decreased MMP-9 compared with pretreatment. Decreases in MMP-9 coincided with a decrease in enhancing lesion volume on MRI. Estriol treatment of mice with EAE reduced MMP-9 in supernatants from autoantigen-stimulated splenocytes, coinciding with decreased CNS infiltration by T cells and monocytes. Experiments with selective ER ligands showed that this effect was mediated through ERalpha. In conclusion, estriol acting through ERalpha to reduce MMP-9 from immune cells is one mechanism potentially underlying the estriol-mediated reduction in enhancing lesions in MS and inflammatory lesions in EAE

    EMPIRICAL EVALUATION ON K MEANS CLUSTERING WITH EFFECT OF DISTANCE FUNCTIONS FOR BANK DATASET

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    Cluster analysis is one of the major data analysis method in data Mining. It is the art of detecting groups of similar objects in large datasets without having specified groups by means of explicit features. K Means algorithm is a popular approach to finding clusters due to its simplicity of implementation and fast execution. In this paper the K Means clustering algorithm for bank data is studied and the "bank data" available in comma-separated format bank-data.csv   here appropriate data preprocessing has been performed and various distance function such as Euclidean distance and Manhattan distance function is used for analyzing the result of number of iterations, run time  and within sum of squared error on Bank data

    Effect of different weed management practices on production of spring maize in Dang, Nepal

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    The study was carried out at Lamahi-8, Satbariya, Dang to evaluate the effect of different weed management practices on the production of spring maize. The experiment was carried out in a Randomized Complete Block Design using three replications and seven treatments. Rampur hybrid 10 variety and early post emergence (EPoE) herbicide were used in the experiment. The treatment consisted of single as well as combined weed management methods as T1:  Broadcasting-One hand weeding, T2: Broadcasting-Herbicide, T3: Line sown- One hand weeding, T4: Line sown-Herbicide + one hand weeding, T5: Line sown- Mini tiller weeder, T6: Line sown- herbicide + mini tiller and T7: Line sown- One hand weeding + mini tiller. The experiment result showed that the combined application of early post emergence herbicide and mini tiller resulted the highest grain yield (8.62 Mt/ha) with minimum total weed density at 60 DAS (41.33/m2) and at harvest (68/m2) thus resulting minimum weed dry weight at 60 DAS (5.45 g/m2) and at harvest (10.64 g/m2). Sixteen different weed species belonging to 9 different families were identified in the experimental field. The highest benefit: cost (3.37) was obtained in the treatment Line sown-Herbicide + mini tiller weeder which was significantly higher compared to other treatments. Among the treatments applied, one with the application of herbicide in combination with mini tiller weeder was found to be the most effective one that resulted in the minimum weed density and minimum dry weight, higher grain and biological yield with the highest benefit cost ratio thus proving to be the most economical one. At the same time, application of mini tiller weeder as a single method was found to be the next better alternative for weed control in spring maize that could benefit the farmers in comparison to other single weed management practices
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