Simulation of a high voltage gain dc-dc converter integrating with coupled inductor and two voltage multiplier cells

In this paper, a high voltage gain dc-dc converter is presented for renewable energy applications. This paper develops step up converter which consists of two voltage multiplier cells with coupled inductor in order to achieve the multiple voltage requirements with high voltage gain. And also two capacitances are provided for charging when the device is under turned-off condition, by utilizing the stored energy levels in the coupled inductor which can enhances the voltage transfer capability levels of the system The voltage imbalance levels are compensated at main power switch. The implemented model operates with low resistance RDS(ON) at main power switch which can reduce the switching losses. The developed simulink models are tested and verified within the MATLAB/SIMULINK with multiple output functions with high voltage gains

A Routing Delay Predication Based on Packet Loss and Explicit Delay Acknowledgement for Congestion Control in MANET

In Mobile Ad hoc Networks congestion control and prevention are demanding because of network node mobility and dynamic topology. Congestion occurs primarily due to the large traffic volume in the case of data flow because the rate of inflow of data traffic is higher than the rate of data packets on the node. This alteration in sending rate results in routing delays and low throughput. The Rate control is a significant concern in streaming applications, especially in wireless networks. The TCP friendly rate control method is extensively recognized as a rate control mechanism for wired networks, which is effective in minimizing packet loss (PL) in the event of congestion. In this paper, we propose a routing delay prediction based on PL and Explicit Delay Acknowledgement (EDA) mechanism for data rate and congestion control in MANET to control data rate to minimize the loss of packets and improve the throughput. The experiment is performed over a reactive routing protocol to reduce the packet loss, jitter, and improvisation of throughput

Benzyl Isothiocyanate Suppresses Pancreatic Tumor Angiogenesis and Invasion by Inhibiting HIF-α/VEGF/Rho-GTPases: Pivotal Role of STAT-3

Our previous studies have shown that benzyl isothiocyanate (BITC) suppresses pancreatic tumor growth by inhibiting STAT-3; however, the exact mechanism of tumor growth suppression was not clear. Here we evaluated the effects and mechanism of BITC on pancreatic tumor angiogenesis. Our results reveal that BITC significantly inhibits neovasularization on rat aorta and Chicken-Chorioallantoic membrane. Furthermore, BITC blocks the migration and invasion of BxPC-3 and PanC-1 pancreatic cancer cells in a dose dependant manner. Moreover, secretion of VEGF and MMP-2 in normoxic and hypoxic BxPC-3 and PanC-1 cells was significantly suppressed by BITC. Both VEGF and MMP-2 play a critical role in angiogenesis and metastasis. Our results reveal that BITC significantly suppresses the phosphorylation of VEGFR-2 (Tyr-1175), and expression of HIF-α. Rho-GTPases, which are regulated by VEGF play a crucial role in pancreatic cancer progression. BITC treatment reduced the expression of RhoC whereas up-regulated the expression of tumor suppressor RhoB. STAT-3 over-expression or IL-6 treatment significantly induced HIF-1α and VEGF expression; however, BITC substantially suppressed STAT-3 as well as STAT-3-induced HIF-1α and VEGF expression. Finally, in vivo tumor growth and matrigel-plug assay show reduced tumor growth and substantial reduction of hemoglobin content in the matrigel plugs and tumors of mice treated orally with 12 µmol BITC, indicating reduced tumor angiogenesis. Immunoblotting of BITC treated tumors show reduced expression of STAT-3 phosphorylation (Tyr-705), HIF-α, VEGFR-2, VEGF, MMP-2, CD31 and RhoC. Taken together, our results suggest that BITC suppresses pancreatic tumor growth by inhibiting tumor angiogenesis through STAT-3-dependant pathway

Fast 3D Integrated Circuit Placement Methodology using Merging Technique

In the recent years the advancement in the field of microelectronics integrated circuit (IC) design technologies proved to be a boon for design and development of various advanced systems in-terms of its reduction in form factor, low power, high speed and with increased capacity to incorporate more designs. These systems provide phenomenal advantage for armoured fighting vehicle (AFV) design to develop miniaturised low power, high performance sub-systems. One such emerging high-end technology to be used to develop systems with high capabilities for AFVs is discussed in this paper. Three dimensional IC design is one of the emerging field used to develop high density heterogeneous systems in a reduced form factor. A novel grouping based partitioning and merge based placement (GPMP) methodology for 3D ICs to reduce through silicon vias (TSVs) count and placement time is proposed. Unlike state-of-the-art techniques, the proposed methodology does not suffer from initial overlap of cells during intra-layer placement which reduces the placement time. Connectivity based grouping and partitioning ensures less number of TSVs and merge based placement further reduces intra layer wire-length. The proposed GPMP methodology has been extensively against the IBMPLACE database and performance has been compared with the latest techniques resulting in 12 per cent improvement in wire-length, 13 per cent reduction in TSV and 1.1x improvement in placement time

Comparison of the model for end-stage liver disease and disease sodium values in prognosticating short term 3-month mortality in chronic liver disease

Background: Chronic liver disease (CLD) cirrhosis of liver is one of the common non communicable disease, accounting for significant morbidity and mortality in developing countries like India. several prognostic scoring systems have evolved from the need to prioritize patients for liver transplantation model for end-stage liver disease (MELD) and its variant, which includes sodium values (MELD-Na) have been recently popularized.Methods: Prospective observational study with follow-up telephone call every month for 3 months, with ppurposive sampling done on 60 patients admitted to AIMS BG Nagara Mandya district Karnataka India. Statistical analysis included the strength of association was assessed using Pearson's correlation and the ROC curve was drawn to assess the accuracy and diagnostic utility of the two models. A p<0.05 was considered statistically significant.Results: In the present study, the mean age of patients was 49.68±9.89 years of age. The strength of association between the MELD score and MELD-Na score was found to be a very strong positive strength of association (r=0.904, p<0.05). The mean MELD score and MELD-Na score was found to be higher in non-survivors’ group (28.5 and 30.5) compared to survivors group (22.03 and 25.67) which was statistically very significant.Conclusions: MELD-Na score was higher among the patients with outcome of death compared to the MELD score among the patient. The ROC curve showed a comparable result with MELD and MELD-Na scores. There was a relation of severity of hyponatremia with the child-Pugh scores.

Identification and validation of an allele specific marker associated with pungency in Capsicum spp.

Pungency or heat in Capsicum spp. is due to the accumulation of unique secondary compounds known as capsaicinoids in their placental tissues. Detecting presence or absence of pungency at the nursery stage is a challenging task in CMS based hybrid pepper breeding programs. In this study a DNA sequence possibly related to pungency trait with high similarity to Pun1 or At3 gene was investigated. Nucleotide alignment of the obtained sequences and corresponding fragment from the data base has revealed a 16bp deletion in C.annuum ‘Maor’. A multiplex agarose based co-dominant marker was designed to detect the identified polymorphism and named it as Cen1. This Cen1 marker is validated in a panel of 27 pepper genotypes belonging to C.annuum, C.chinensis, C.frutescens and C.baccatum for its wide utility. All these Capsicum accessions were correctly discriminated with phenotype. In addition, the ability of Cen1 marker to discriminate homozygous and heterozygous plants was demonstrated in F1 hybrids crossed from a non pungent ‘Maor’ and a pungent ‘Habanero’. The Cen1 marker was also associated with phenotypic character in the tested genotypes. Moreover the linkage association of Cen1 with At3 or Pun1 gene has also been discussed. Therefore the developed functional marker in this study will be highly useful in marker assisted selection (MAS) programmes, germplasam characterization and seed purity testing of chill

DEVELOPMENT OF STABILITY INDICATING RP-HPLC METHOD FOR THE SIMULTANEOUS ESTIMATION OF AMBROXOL HYDROCHLORIDE AND LEVOCETIRIZINE DIHYDROCHLORIDE

A simple, precise and accurate method has been developed for simultaneous estimation of Ambroxol hydrochloride and Levocetirizine dihydrochloride. The proposed RP-HPLC method utilises Enable C18 G column (250 x 4.6mm, 5m), mobile phase consisting of Phosphate buffer pH 3.0: Methanol in the ratio of 20:80 (v/v) and UV detection at 236nm using a photodiode array detector. ambroxol hydrochloride and levocetirizine dihydrochloride were exposed to acidic, alkali, oxidative, thermal and photolytic stress conditions and the stressed samples were analysed by the proposed method. Peak homogeneity data of ambroxol hydrochloride and levocetirizine dihydrochloride in the stressed samples demonstrated the specificity of the method for their estimation in presence of degradants. The described method was linear over a range of 15 45 g/mL for ambroxol hydrochloride and 1 3 g/mL for levocetirizine dihydrochloride respectively. The method validation data showed excellent results for accuracy, precision, linearity, specificity, limit of detection, limit of quantification and robustness. The present method can be successfully used for routine quality control and stability studies

Design of Multi-Layer Protocol Architecture using Hybrid Optimal Link State Routing (HOLSR) Protocol for CR Networks

There is a lack of spectrum due to the rising demand for sensing device communication and the inefficient use of the existing available spectrum. Through opportunistic access to licenced bands, which does not obstruct the primary sensory users (PU), it is feasible to enhance the inefficient use of the current sensor device frequency spectrum. Cognitive settings are a demanding environment in which to carry out tasks like sensor network routing and spectrum access since it is difficult to access channels due to the presence of PUs. The basic goal of the routing problem in sensor networks is to establish and maintain wireless sensor multihop paths between cognitive sensor nodes. The frequency to be used as well as the number of hops at each sensor node along the path must be determined for this assignment. In order to improve performance while using less energy, scientists suggested a unique adaptive cross-layer optimisation subcarrier distribution technique with the HOLSR protocol for wireless sensor nodes. Throughput and energy consumption parameters are used to analyse the sensor network architecture protocol that has been developed. The energy usage of the sensor nodes in the network has increased by 50%. The performance of the proposed HOLSR algorithm is assessed using the simulation results, and the results are contrasted with those of a conventional multicarrier (MC) system in terms of bit error rate and throughput