Informatics Publishing Limited

G. Rohini

Abstract

Objective: To investigate the tumor inhibitory effect of the ethanolic extract of Bacopa monniera (B. monniera) in 3- Methylcholanthrene (3-MC) induced fibrosarcoma bearing rats. Methods: 3-MC induced fibrosarcoma in male Wistar rats was used to investigate the tumor inhibitory property of B. monniera (20mg/kg, sc, 30 days). Tumor inhibitory property was assessed by studying the mean survival time, body weight and tumor weight changes, activity of the tumor markers like gamma glutamyl transferase (GTT), cathepsin-D, ceruloplasmin, levels of circulating immune complexes (CIC) and histopathological changes. Results: Fibrosarcoma bearing rats exhibited decreased mean survival time (40.45 ± 4.5 days) and body weight (57.66 ± 4.5 gms) with increased tumor weight ( 12.36 ± 0.32 gms), p<0.01. Tumor markers like GTT (5.84 ± 1.13 IU/L, p<0.01) cathepsin - D (7.08 ± 1.29 nmoles of tyrosine liberated/min/mg protein, p<0.01), ceruloplasmin (2.95±0.41 mg/ dl, p<0.05) and CIC (334.6 ± 4.63 OD × 103 , p<0.05) were increased. Histological assessment revealed fibrosarcoma tumor with a typical herring bone pattern. B. monniera treated rats exhibited enhanced mean survival time (54.5 ± 3.9 days), body weight (80 ± 6.2 gms), and decreased tumor weight (5.34± 0.22). GTT (3.13 ± 1.05, p<0.01), cathepsin-D (5.75 ± 0.28, p<0.01), ceruloplasmin (1.59 ± 0.20, p<0.05) and CIC (267 ± 12.98, p<0.05) were found to be lowered. Sections of tumor tissue revealed inhibited tumor progression. Conclusion: The ethanolic extract of B. monniera inhibits tumor progression in fibrosarcoma bearing rats.

Keywords

3-Methylcholanthrene, Fibrosarcoma, Bacopa monniera, Circulating Immune Complexes (CIC)

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G. Brindha ¹, G. Rohini ², C. Gnanakousalya ²

Affiliations
1 Faculty of Electrical Engineering, Sathyabama University, Chennai - 600119, Tamil Nadu, IN
2 Department of ECE, St. Joseph’s Institute of Technology, Chennai - 600119, Tamil Nadu, IN

Abstract

Objectives: Optimization of single node / port in the Reformed Digital Micro Fluidic Biochip (RDMFB) has been carried out in this work. The Digital Micro Fluidic Biochip (DMFB) consists of two reservoirs / ports, one for sample (any biological solution) and the other for reagent (chemical solution). In each port two samples and two reagents, in the form of droplet i.e. nano / micro litre volume have been placed in respective ports. Based on application, at each instance only one solution has to be routed from reservoir to mixer and then to detector. In order to implement this, an optimization technique has been posed to decide which one has to be routed first. Methods: The optimization algorithm opted is of an evolutionary algorithm – Genetic Algorithm. It has been implemented for both sample port and reagent port. This algorithm has been opted due to its life science characteristic to get a better and optimal solution for any biological sample when it is being injected or diagnosed. Two samples in the form of droplet i.e. nano / micro litre volume have been used to route, both will be any biological sample which is placed in same node / port, similarly, in reagent port chemical solution has been placed. The port has to decide which one has to be routed based on application with the help of control pin used. Findings: The 15 x 15 array DMFB has been reformed into a new one in order to minimize the number of cells in an array. By this way of a modification, a 12 x 12 array DMFBi.e. RDMFB has been designed. The optimized output has been simulated in Xilinx platform and FPGA synthesis has been done in Plan Ahead software.Application: DMFB plays a vital role in our day-to-day life for various biological diagnoses in clinical laboratory. It is a lab on chip device.

Keywords

DMFB, FPGA Synthesis, Genetic Algorithm, RDMFB, Single Node, Xilinx

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G. Rohini ¹, A. Jaffar Sadiq Ali ²

Affiliations
1 Department of Electrical and Electronics Engineering, Jerusalem College of Engineering, Chennai - 600100, Tamil Nadu, IN
2 Department of Electrical and Electronics Engineering, Bharath University, Chennai - 600073, Tamil Nadu, IN

Abstract

This paper deals with using buck boost converter principle for producing AC voltage from PV array. It uses simple buck boost converter with switches, to invert D.C. in one single stage. The filter inductor is added to get a near sinusoidal waveform with low THD. The buck boost chopper initially boosts up the DC voltage from PV array to required level. The operation is similar to buck boost chopper. Then this voltage is converted to AC using switches and filters. Both the operation of stepping up and conversion takes place simultaneously thus forming a single stage converter system.

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G. Rohini ¹, A. Srinivasan ²

Affiliations
1 Dept.of IT, Adhiyamaan College of Engineering, Hosur, IN
2 Dept of IT, MNM Jain Engineering College, Chennai, IN

Abstract

Nowadays Internet and bandwidth is an extremely valuable and scarce resource in remote networks. Consequently, efficient bandwidth management is necessary to support service stability, good Quality of service and ensure steady quality of experience for users of handheld multimedia streaming services. certainly, the support of uniform streaming rate during the entire course of a streaming videos, where the user is in mobility is one of the demanding issue and may not have high resolution or video quality due to the limited 3G/3.5G/4G bandwidth to the Internet as well as changing of bandwidth . Popular iOS and Android based handheld devices, accessing more Internet video services typically involves about 10%-80% redundant traffic and low battery life. This work proposes the Service transition protocol and Session transition protocol using H.264/SCV over the wireless network. This paper enables dynamic voltage and frequency Scaling Power control mechanism for better battery life. Simulation results shows that the proposed approach outperforms existing bandwidth management schemes in better supporting mobile multimedia services with better life time of battery.

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G. Rohini ¹, H.C. Kantharaju ², B. Gopinathan ³, Sangeetha Krishnan ⁴

Affiliations
1 Department of Electronics and Communication Engineering, St. Joseph’s Institute of Technology, IN
2 Department of Artificial Intelligence and Machine Learning, Vemana Institute of Technology, IN
3 Department of Computer Science and Engineering, Adhiyamaan College of Engineering, IN
4 Department of Mathematics and Computer Science, University of Africa, NG

Abstract

In mobile ad hoc networks (MANETs), the efficient energy-efficient cluster head selection (EECHS) is a significant issue. When an appropriate cluster head (CH) is chosen, MANETs' energy efficiency improves. Clusters are built in MANETs to facilitate communication between nodes. The EECHS problem has been addressed using a variety of clustering strategies, including distributed clustering and cluster-based routing. However, these approaches require high overhead and complexity, leading to suboptimal performance. Therefore, it is necessary to develop an algorithm that can select the best CH to facilitate efficient energy-efficient communication in MANETs. In this regard, the Firefly Algorithm (FA) has been proposed as an effective approach to solving the EECHS problem. FA is a type of swarm intelligence-based meta-heuristics algorithm inspired by the behavior of fireflies. FA is a simple and efficient optimization method that can be used to select the best CH in MANETs. The method has a number of benefits, including enhanced convergence rate and local search functionality. FA is also computationally effective and can adapt to shifting network conditions. This essay offers a thorough evaluation of the literature on the use of FA in MANETs to address the EECHS. Along with comparisons of their performances, a thorough examination of the suggested methodologies and algorithms is offered. Last but not least, various difficulties and potential research paths pertaining to the usage of the FA are explored.

Keywords

Energy, Cluster Head, Selection, MANET, Firefly Algorithm.

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