Support Vector Machine (SVM) is a supervised learning algorithm, recommended for classification and nonlinear function approaches. The goal of SVM is to find the optimum separating hyperplane, which is able to classify data points as well as possible, and to again separate them into two classification points as much as possible. The hallmarks of this classification reasoning are the support vectors chosen from the training set. On the other hand, training SVM involves solving a constrained quadratic programming problem, which requires a large memory and enormous amounts of training time for large-scale problems. Therefore, when finding the optimum separating hyperplane only a small part of the training set is used. \nIn this paper, we propose a method for finding a set of the training data for the training of the SVM. For this purpose, we use Principal Component Analysis (PCA) technique for the elimination of non-critical training examples in the training set. By the help of PCA, the data in multi-dimensional space is converted into one-dimensional space. Then, by using the mean and the standard deviation of the one dimensional instances, the non-critical points are identified. Then, from the original training set, these non-critical instances are removed and the new reduced training set is used for the training process. Our experimental results show that our proposed method has a positive effect on computational time without degrading the classification results.

Stem cell research has raised expectations after novel cellular therapies of regenerative medicine came to light with the discovery of unexpected plasticity in stem cells. Stem cells offer a distinct prospect of changing the face of human medicine. However, although they have potential to develop into any tissue organization, they are still in the various stages of development as therapeutic interventions. In this article we have avoided the descriptions of various methodologies involved in collection, extraction, or purification of stem cells as several researches have already published or patented these technologies. The three most extensively used stem cell sources were umbilical cord blood, bone marrow and human embryos, subsequently other sources like human fatty tissues, hair follicles etc. have been documented. Advancement in stem cell medicine requires ethically sound and scientifically robust models to develop tomorrow’s remedies. Here, we describe the utility and application potential of human cord blood stem cells and its regenerative property.

Usability is a major concern in open source software (OSS). A pattern is used to provide solutions to a design problem within a certain context. Existing design patterns being used in OSS have certain issues such as lack of consideration of HCI rules, less users’ involvement in design, no style guidelines, and less focus on essential values and design invariant that can be encoded in software. An improved user design pattern is thus required to address these issues. This paper proposes a novel design pattern by studying and improving existing patterns. A case study has also been carried out to evaluate the proposed pattern.

Clay soils present problems to geotechnical engineers due to its complex nature. Excessive compression, dispersive behavior, collapsing behavior, low shear strength, high swell potential and frost susceptibility are some of the undesirable properties of soils in geotechnical engineering. Soil properties such as those mentioned would cause severe distress to structures build on them. In this regard, it is necessary to reinforce and or stabilize the soil. In this experimental work, clayey soil was stabilized by using marble dust investigated the effect of marble dust on the geotechnical properties of clayey soil. The natural and modified clayey soil samples were subjected to the unconfined compression, the shear box, the odometer and the falling-head permeability tests after compaction at optimum moisture content. The results of experimental research indicated that marble dust enhanced both the unconfined compression strength and strength parameters. Consequently, it is concluded that the silica fume-fiber mixture materials can be successfully used for the modifications of clayey soils in the geotechnical applications.

Heterogeneous multicore processor consists of large number of processors with different configuration packed together on a single chip. There is a tremendous computing power offered by this multicore processor. Even though enormous performance enhancement with this multicore platform, it brings lot of challenges to the efficient operating system scheduling. In this paper we propose a new agent based scheduling and thread assignment algorithm in such a way that none of the heterogeneous processor will be kept in the idle state and the cores are utilized efficiently. We actually classify processors as fast core, average core and slow core based on their computing power. Then based on the cpu and memory intensive instructions we assign the threads to the respective cores. The ultimate aim is the heterogeneous processors within the multicore are assigned with the appropriate threads. We actually modified and simulated the linux 2.6.21 kernel process scheduler to incorporate this scheduling concept. Our evaluation results show that this agent scheduling algorithm outperforms the existing scheduling algorithms for HMC(Heterogeneous MultiCore) processors interms of cpu utilization.

Heat shock proteins (Hsp) are cellular proteins that are present under normal conditions but their expression level increases when the cell is under stress or shock. Hsp90 (Heat-shock protein 90 kDa) is one of a group of molecular chaperones responsible for managing protein folding and quality control in cell environment. Numerous observations link the heat shock response with the pathogenicity of the major fungal pathogen of humans, Candida albicans and alsosuggesting that Hsp90 play crucial roles in both adaptive and innate immunity. In the present study protein family and protein functional domain has been predicted by using Pfam and Smart tools apart from these protein location and functional regions had been predicted using TargetP, Psort and Protfun servers. The results shown two domains those deemed by the site to be significant. The protein contain the domain named Histidine kinase-, DNA gyrase B-, and HSP90-like ATPase belonging to the domain family HATPasec_3 this domain begin at position 22 and end at position 142, with an e-value of 3.7e-12 and Functional category of Amino_acid_biosynthesis (OR=12.82) and the present query belongs to enzyme class Ligase (OR= 3.037). The present study would aid in studying protein-protein interactions in future and could be further use as drug target studies.

The present study was aimed at investigating the dose dependent free radical scavenging activity of combination of Grape seed extract and Zincovit tablets (nutritional food supplement) using different in vitro models. In vitro antioxidant activity was measured by two methods, 1,1-Diphenyl-2-picrylhydrazyl (DPPH) radical scavenging and [2,2-azinobis(3-ethyl-benzothiazoline-6-sulphonic acid)] (ABTS) radical scavenging assay. Various concentrations of combination of Grape seed extract and Zincovit tablets (nutritional food supplement) dissolved in methanol (1.56-250µg/ml) were used. Ascorbic acid was used as a standard drug. Methanol and water were served as blank. In DPPH and ABTS radical scavenging assays, the IC50 values were 74.70μg/ml and 23.66μg/ml respectively. In both the methods a significant correlation existed between concentrations of combination of Grape seed extract and Zincovit tablets (nutritional food supplement) and percentage inhibition of free radicals. The results obtained in this study indicate that the combination of Grape seed extract and Zincovit tablets (nutritional food supplement) is a potential source of natural antioxidant.