Enabling Mainframe Assets to Services for SOA

Service-oriented architecture (SOA) is a mechanism for achieving interoperability between heterogeneous systems. SOA enables existing legacy systems to expose their functionality as services, without making significant changes to the legacy systems. Migration towards a service-oriented approach (SOA) not only standardizes interaction, but also allows for more flexibility in the existing process. Web services technology is an ideal technology choice for implementing a SOA. Web services can be implemented in any programming language. The functionality of Web services range from simple request-reply to full business process. These services can be newly developed applications or just wrapper program for existing business functions to be network-enabled. The strategy is to form a framework to integrate z/OS assets in distributed environment using SOA approach, to enable optimal business agility and flexibility. Mainframe applications run the business and contain critical business logic that is unique, difficult, and costly to replicate. Enabling existing applications allows reusing critical business assets and leveraging the assets as a service to be invoked in heterogeneous environment

GA For Optimal PI in DC Voltage Regulation of D-STATCOM.

The performance of DSTATCOM depends on a DC capacitor voltage regulation.The regulation of DC capacitor voltage based on optimal PI coefficients. The conventional method to determine PI coefficients is trial and error method. In this paper Genetic Alogorithem is applied for exact calculation of optimized PI coefficients can carried out to reduce disturbances in DC link voltage. Optimizations and simulations are worked out in MATLAB environment. DOI:http://dx.doi.org/10.11591/ijece.v1i2.9

A CLINICAL STUDY ON THE EFFECT OF VIRECANA KARMA WITH TRIVRUTADI MODAKA IN THE MANAGEMENT OF TAMAKA SVASA (BRONCHIAL ASTHMA)

Tamaka svasa is a Vatakaphaja vyadhi, originating from Pittasthana and manifested through Pranavaha Srotas. Vata get obstructed by Kapha dosha and travels into Pratiloma gati (opposite direction) and in turn causes Svasa (Dyspnoea). Its clinical features resembles with Bronchial asthma. Objectives: The study was carried out to assess the role of Virecana karma in the management of Tamaka svasa with Trivrutadi Modaka. Materials and methods: The clinical study was conducted at Dr.B.R.K.R.Govt. Ayurvedic Hospital and Research Centre, Erragadda, Hyderabad. 30 patients of either sex fulfilling the clinical criteria for diagnosis of Tamaka svasa (bronchial asthma) were selected in accordance with following inclusion & exclusion criteria. Murchita Tilataila was given for Snehapana and the Virecana yoga was Trivrutadi Modaka. The result was assessed at every 15 days. Subjective and objective parameters were analyzed before and after the treatment. Results: There was moderate relief in 23 Patients (76.66%), Marked relief in 4 Patients (13.33%) and 3 Patients (10.00%) showed mild relief, Complete remission was not found. Conclusion: Virecana karma (Purgative Therapy) has given maximum effect to pacify the almost entire range of signs and symptoms associated with the disease and by reducing its frequency, severity, emergency drug usage and there by providing quality life to the patients

AN EXPERIMENTAL INVESTIGATION OF THE EFFECT OF MASS FLOW RATES ON THE PERFORMANCE OF FLAT-PLATE SOLAR WATER HEATING SYSTEM USING CuO/WATER NANOFLUID

One of the effective ways of increasing the efficiency of flat plate solar collector is to utilize nanofluids which are having high thermal conductivity. In the present study, an attempt is made to investigate the effect of mass flow rates on the performance of flat plate solar collector using CuO/water nanofluid. The experimental set up consists of flat plate solar collector; storage tank and ladder type heat exchanger. The instantaneous efficiency of solar collector is calculated by taking lower volume fraction of 0.01% with average particle size of 30 nm and varying the flow rate from 1 lpm to 3 lpm, as per ASHRAE standard, with and without Triton X-100 surfactant. The experimental results reveal that utilizing the nanofluid with mass flow rate at 1.5 lpm increases the collector efficiency by 19.7%.Â

FORMULATION AND EVALUATION OF BILAYERED TABLETS OF MONTELUKAST AND LEVOCETRIZINE DIHYDROCHLORIDE USING NATURAL AND SYNTHETIC POLYMERS

The objective of present work was to formulate and evaluate bilayered tablets of Levocetrzine and Montelukast for treating allergic rhinitis effectively. Anti-allergic medicines (eg, some antihistamines) can cause adverse events such as somnolence and sedation. The Combining Montelukast with Levocetirizine gives additional benefits in comparison with either drug alone and could be considered for patients whose quality of life is impaired by persistent allergic rhinitis. Montelukast sodium is alkaline stable (bioavailability 64%), most of drug being absorbed from the intestine while Levocetirizine Dihydrochloride is acid stable. When tablets of the combination of these are  prepared, they tend to become unstable during the shelf life of the formulation. Hence it is recommended to prepare a bilayer tablet, by formulating Montelukast in sustained release layer and Levocetrizine as immediate release layer as it improves and increases the stability by reducing the acid base interactions of both the drugs in combination there by increasing the bioavailability. Taking this into account different formulations were prepared by wet granulation method using natural Tamarind Seed Polysaccharide and synthetic HPMCK100,K15M and K4M release rate controlling hydrophilic polymers. The formulations were evaluated for hardness, weight variation, friability, swelling index and drug content uniformity. The in vitro release of drug from the formulations was studied in pH 1.2 acidic buffer and pH 7.4 phosphate buffer, and it was found that the prepared tablets were able to sustain the release of the drug upto 12hours. The release of Montelukast and Levocetrizine of both layers from the tablets was found to be diffusion controlled and the release mechanism was non-Fickian based on the n value of Korsmeyer-peppas plot. The FTIR studies were performed on three optimized formulations (F4, F12, F16) and the plain drug controls(Levocetrizine,Montelukast).From the  observed peaks it is evident that the polymers used and the drugs were  found to be mutually compatible chemically. The Pharmacokinetic Studies were performed in two groups of male wistar rats. One group was administered with the optimized formulation containing tamarind Seed Polysaccharide(F12) while Plain Montelukast oral suspension acted as control in the second group.The results indicate that the formulation optimised with 1:4(drug:TSP) was able to sustain the release of montelukast upto 12hours.Insrease in Tmax and AUC(0-α) also were also observed in the studies indicating efficient sustained action and improved bioavailability of the drug. The formulated bilayered tablets using natural polymers provided immediate release of Levocetrizine and sustained release of Montelukast and therefore hold promise as an alternative dosage form in the treatment of allergic rhinitis and bronchial asthma. Key words: Tamarind Seed Polysacharide, Hydroxypropyl methyl cellulose,  Bilayered tablets

LH-Cipher: A Linear Hierarchical Cipher approach for Data

Dividing the data into blocks and there by arranging the blocks in hierarchal order is termed as a linear hierarchical cipher approach for data .The encryption code, a access id code for each level based on the propagation code is generated in this technique. However the level propagation code and the access-id code of previous hierarchy level are matching with upper hierarchical level .The access-id code is set based on the time sensing key and a time seed, and the time seed updates with respect to the encryption pulse. By simply modifying and inversing the data security it is possible to decrease the number of key volume

Genomic aberrations in normal tissue adjacent to HER2-amplified breast cancers: field cancerization or contaminating tumor cells?

Field cancerization effects as well as isolated tumor cell foci extending well beyond the invasive tumor margin have been described previously to account for local recurrence rates following breast conserving surgery despite adequate surgical margins and breast radiotherapy. To look for evidence of possible tumor cell contamination or field cancerization by genetic effects, a pilot study (Study 1: 12 sample pairs) followed by a verification study (Study 2: 20 sample pairs) were performed on DNA extracted from HER2-positive breast tumors and matching normal adjacent mammary tissue samples excised 1-3 cm beyond the invasive tumor margin. High-resolution molecular inversion probe (MIP) arrays were used to compare genomic copy number variations, including increased HER2 gene copies, between the paired samples; as well, a detailed histologic and immunohistochemical (IHC) re-evaluation of all Study 2 samples was performed blinded to the genomic results to characterize the adjacent normal tissue composition bracketing the DNA-extracted samples. Overall, 14/32 (44 %) sample pairs from both studies produced genome-wide evidence of genetic aberrations including HER2 copy number gains within the adjacent normal tissue samples. The observed single-parental origin of monoallelic HER2 amplicon haplotypes shared by informative tumor-normal pairs, as well as commonly gained loci elsewhere on 17q, suggested the presence of contaminating tumor cells in the genomically aberrant normal samples. Histologic and IHC analyses identified occult 25-200 μm tumor cell clusters overexpressing HER2 scattered in more than half, but not all, of the genomically aberrant normal samples re-evaluated, but in none of the genomically normal samples. These genomic and microscopic findings support the conclusion that tumor cell contamination rather than genetic field cancerization represents the likeliest cause of local clinical recurrence rates following breast conserving surgery, and mandate caution in assuming the genomic normalcy of histologically benign appearing peritumor breast tissue

A Novel Statistical Method to Diagnose, Quantify and Correct Batch Effects in Genomic Studies.

Genome projects now generate large-scale data often produced at various time points by different laboratories using multiple platforms. This increases the potential for batch effects. Currently there are several batch evaluation methods like principal component analysis (PCA; mostly based on visual inspection), and sometimes they fail to reveal all of the underlying batch effects. These methods can also lead to the risk of unintentionally correcting biologically interesting factors attributed to batch effects. Here we propose a novel statistical method, finding batch effect (findBATCH), to evaluate batch effect based on probabilistic principal component and covariates analysis (PPCCA). The same framework also provides a new approach to batch correction, correcting batch effect (correctBATCH), which we have shown to be a better approach to traditional PCA-based correction. We demonstrate the utility of these methods using two different examples (breast and colorectal cancers) by merging gene expression data from different studies after diagnosing and correcting for batch effects and retaining the biological effects. These methods, along with conventional visual inspection-based PCA, are available as a part of an R package exploring batch effect (exploBATCH; https://github.com/syspremed/exploBATCH )

Molecular or Metabolic Reprograming: What Triggers Tumor Subtypes?

Tumor heterogeneity is reflected and influenced by genetic, epigenetic, and metabolic differences in cancer cells and their interactions with a complex microenvironment. This heterogeneity has resulted in the stratification of tumors into subtypes, mainly based on cancer-specific genomic or transcriptomic profiles. Subtyping can lead to biomarker identification for personalized diagnosis and therapy, but stratification alone does not explain the origins of tumor heterogeneity. Heterogeneity has traditionally been thought to arise from distinct mutations/aberrations in "driver" oncogenes. However, certain subtypes appear to be the result of adaptation to the disrupted microenvironment caused by abnormal tumor vasculature triggering metabolic switches. Moreover, heterogeneity persists despite the predominance of single oncogenic driver mutations, perhaps due to second metabolic or genetic "hits." In certain cancer types, existing subtypes have metabolic and transcriptomic phenotypes that are reminiscent of normal differentiated cells, whereas others reflect the phenotypes of stem or mesenchymal cells. The cell-of-origin may, therefore, play a role in tumor heterogeneity. In this review, we focus on how cancer cell-specific heterogeneity is driven by different genetic or metabolic factors alone or in combination using specific cancers to illustrate these concepts. Cancer Res; 76(18); 5195-200. ©2016 AACR