Graph based gene/protein prediction and clustering over uncertain medical databases.

Clustering over protein or gene data is now a popular issue in biomedical databases. In general, large sets of gene tags are clustered using high computation techniques over gene or protein distributed data. Most of the traditional clustering techniques are based on subspace, hierarchical and partitioning feature extraction. Various clustering techniques have been proposed in the literature with different cluster measures, but their performance is limited due to spatial noise and uncertainty. In this paper, an improved graph-based clustering technique is proposed for the generation of efficient gene or protein clusters over uncertain and noisy data. The proposed graph-based visualization can effectively identify different types of genes or proteins along with relational attributes. Experimental results show that the proposed graph model more effectively clusters complex gene or protein data when compared with conventional clustering approaches

Context rank based hierarchical clustering algorithm on medical databases (CRBHCA).

In this paper we propose a method that aims to reduce processing overheads by avoiding the need to choose between natural language processing tools such as part-of-speech taggers and parsers. Moreover, we suggest a structure for the immediate creation of a large-scale, annotated corpus with disease names, which can be applied to train our probabilistic model. In this proposed work, a context rank-based hierarchical clustering method is applied on different datasets relating to colon diseases, leukemia, mixed-lineage leukemia (MLL) and lymphoma medical diseases. An optimal rule-filtering algorithm is applied on these datasets to remove unwanted special characters for gene/protein identification. Finally, experimental results show that our proposed method outperformed existing methods in terms of time and clusters space

Analysis of Legacy System in Software Application Development: A Comparative Survey

Software evolution is one of the challenging issues in today’s business environment. It is necessary for the organizations, which make use of Information, and Communication Technologies will have to align their business processes to compete with global business. The existing large software systems (“legacy” systems) have never been built to cope with the current business requirement for their poor coding, design structures, logic and documentation. Moreover, Legacy applications have various problems such as lack of up to-date documentation, skilled man power, resources of the Legacy applications, and high maintenance costs. Even though the Legacy system is obsolete, it contains detailed business rules and in continuous use, because it satisfies the users' needs and forms the backbone of the information flow of organization. One of the possible solutions is to refactor or modernize those systems into a new platform. It is necessary to analyse the existing legacy system for better understanding the business logic and its functionalities. This paper analyses various techniques proposed for understanding Legacy systems in existence

EBSD characterization of cryogenically rolled type 321 austenitic stainless steel

Electron backscatter diffraction was applied to investigate microstructure evolution during cryogenic rolling of type 321 metastable austenitic stainless steel. As expected, rolling promoted deformation-induced martensitic transformation which developed preferentially in deformation bands. Because a large fraction of the imposed strain was accommodated by deformation banding, grain refinement in the parent austenite phase was minimal. The martensitic transformation was found to follow a general orientation relationship, {111}γ||{0001}ε||{110}α′ and 〈110〉γ||〈11-20〉ε||〈111〉α′, and was characterized by noticeable variant selection

Martensite-to-austenite reversion and recrystallization in cryogenically-rolled type 321 metastable austenitic steel

The annealing behavior of cryogenically-rolled type 321 metastable austenitic steel was established. Cryogenic deformation gave rise to martensitic transformation which developed preferentially within deformation bands. Subsequent annealing in the range of 600 C to 700 C resulted in reversion of the strain-induced martensite to austenite. At 800 C, the reversion was followed by static recrystallization. At relatively-low temperatures, the reversion was characterized by a very strong variant selection, which led to the restoration of the crystallographic orientation of the coarse parent austenite grains. An increase in the annealing temperature relaxed the variant-selection tendency and provided subsequent recrystallization thus leading to significant grain refinement. Nevertheless, a significant portion of the original coarse grains was found to be untransformed and therefore the fine-grain structure was fairly heterogeneous

Fertility and mortality among the scheduled caste Madigas of Andhra Pradesh, India

About 1284 selected married women of both MDCDP (Madigas of Cuddapah district) and MDCTR (Madigas of Chittoor district) groups of Andhra Pradesh were studied for fertility and mortality demographic variables. Over 90% of the total conceptions in the pooled Madigas results in live births. A small proportion of prenatal deaths and high proportion of post-natal deaths were observed. The surviving offspring constitute 67.76% of the total conceptions. The mean number of conceptions in MDCTR (6.49) is more than that in MDCDP (6.13), the intergroup difference being insignificant. The fertility rate as measured by mean number of live births is more or less the same in both Madiga groups. The mean number of surviving offspring in MDCDP (3.96) is relatively lower than that in MDCTR (4.16), with non-significant difference. The mean number of total mortality found to be relatively lower in MDCDP (2.17) than in MDCTR (2.33), may be due to higher incidence of consanguinity in the latter group

Palmar dermatoglyphics of the scheduled caste Madigas in Andhra Pradesh

The study reports on bilateral palm prints among 400 unrelated individuals (200 males and 200 females) of Madigas in two revenue districts of Cuddapah and Chittoor in Andhra Pradesh were collected and analysed. The principal mainline formula is frequently occurring modal type in either sex. The highest incidences of Mainline D, Mainline C, Mainline B and Mainline A endings were commonly observed in types 11, 91 7 and 3 respectively. Majority of the individuals possess axial triradius at t irrespective of sex difference. A general trend of the prevalence of the true patterns in decreasing order can be seen as IV inter-digital area > III interdigital area > hypothenar area > thenar/I interdigital area > II interdigital area. The above values of the present study compared to other populations reveal the values are within the range of AP caste populations

Sexual dimorphism in digital dermatoglyphic traits among the christian population of Mysore, India

Gender classification from fingerprints is a main step in forensic investigations in order to identify the gender of a criminal and minimize the list of suspects search.1 The present investigation is attempted to evaluate gender dimorphism in digital dermatoglyphic traits such as basic finger pattern types and various pattern indices from a total of 102 Christian people from Mysore city, consisting of 60 males and 42 females. Data was collected by using of USB fingerprint reader (biometric scanner). The distribution of patterns was found to be in the following order: Radial loop (54.9%) > true whorl (30%) > central pocket loop (4.5%) > lateral pocket loop (4.3%) > twin loop (2.7%) > tented arch (1.4%) > plain arch > ulnar loop(1.3%) > accidental (0.0%). Finger pattern indices were calculated. Females showed higher values of Dankmeijer's Index and Poll's Index while males showed higher values of Pattern Intensity Index and Furuhuta's Index. Finger pattern types and indices were compared with several other Indian populations

A study on fertility and mortality among Vishwakarma population in Mysore district of Karnataka state

The present study A study on fertility and mortality among Vishwakarma Population of Mysore District is undertaken to understand the biological maintenance and survival index of the Vishwakarma population in Mysore district of Karnataka state. The data were collected from 514 families of Vishwakarma Population of Mysore District, Karnataka State, India. Fertility is measured by the average number of livebirths and mortality by the foetal deaths, neonatal deaths, infantile deaths, child mortality and deaths after six years of age. The means of fertility and mortality in consanguineous, non consanguineous mating and both matings of different age groups of Vishwakarmas are portrayed in the present stud