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Research Paper

Bioavailability and Bioequivalence study of different brands [Telma (Glenmark), Telsartan (Dr.Reddy’s), Indetel (ZydusAlidac), Telmikind(Mankind)] of Telmisartan

Bioavailability and bioequivalence studies play a major role worldwide and thus attract considerable attention globally in the development phase for both their new drug products and generic equivalents. Bioequivalence is a revolutionary strategy to introduce generic equivalents of branded drugs to lower the cost of medication through proper assessment as directed by the international regulatory authorities. The present study had been performed to explore interchangeability of branded generic drug products by comparing their bioavailability via in vivo study of four different brands. For each study period a set of 12 subjects completed both period with a 1O-day washout period. In both studies, the study formulations were administered after a 1O-12 hour overnight fast. For pharmacokinetic analysis, blood samples were drawn at baseline, O.25, O.5, O.75, 1, 1.5, 2, 2.5, 3, 4, 6, 8, 12 and 24 hours after administration. Plasma concentrations of telmisartan were determined using HPLC coupled with a UV detector. All formulations were considered bioequivalent when evaluated against 9O% CI for the mean ratios were within the predetermined ranges of 8O% to 125%.in study the ratio analysis of AUCO-t for T1, T2 and T3 were 96%, 99% and 91%; Cmax was 98%, 99% and 95%; AUCO-T was 98%, 1O1% and 92%; AUCO-∞ was 1O8%, 112% and 87%; and Kel were found 1O2%, 1O6% and 1O5% respectively. In both studies periods, All Test formulations met the regulatory requirements to assume bioequivalence, based on the rate and extent of absorption.

Published by: Raksha Gupta, Dr. S. S. Agrawal

Author: Raksha Gupta

Paper ID: V4I4-1475

Paper Status: published

Published: August 31, 2018

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Review Paper

A review article on comparative analysis of DEEC protocol

Energy Management can be improved by proficient clustering algorithms in heterogeneous wireless sensor networks. Coordination through cluster head selection provides efficient data aggregation that reduces communication overhead in the network. In this paper, we propose a fuzzy logic approach based DDEEC clustering algorithm which aims to prolong the lifetime of nodes in heterogeneous WSNs. We compare this algorithm with the PSO based DDEEC algorithm and original DDEEC algorithm according to the parameters of the first node dies at different rounds and energy-efficiency metrics. The efficiency of the proposed optimized fuzzy algorithm is proved by the Matlab experimental results. Simulation results exhibit that the proposed algorithm has higher energy efficiency and can improve the lifespan of a node and data delivery at the base station over its comparatives.

Published by: Suraj Soni, Anshuj Jain, Manish Gupta

Author: Suraj Soni

Paper ID: V4I5-1141

Paper Status: published

Published: August 30, 2018

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Research Paper

Synthesis, characterization, and evaluation of Antibacterial activities of 2,5-disubstituted 1,3,4-Oxadiazole derivatives

Lincy Joseph, et al.: Antibacterial activity of 2,5-disubstituted 1,3,4-Oxadiazole derivatives Synthesized five 2,5-disubstituted 1,3,4-Oxadiazole derivatives. The target compounds J1 – J5 were obtained by treating aromatic acid ester hydrazide derivative and β-Benzoyl propionic acid derivatives using concentrated sulphuric acid as a dehydrating agent. They were purified and characterized by IR, NMR, and Elemental Analysis. The compounds were further subjected to antibacterial study against gram positive and gram negative strains. Compounds J1 and J2 exhibited good antibacterial activity and compounds J3 and J4 were found to have moderate antibacterial activity compared to standard drug ciprofloxacin (30mcg).

Published by: Lincy Joseph, Mathew George, Jinijith S.

Author: Lincy Joseph

Paper ID: V4I4-1540

Paper Status: published

Published: August 30, 2018

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Survey Report

Data clustering algorithms: A second look

With the huge volume of digital data, clustering algorithms are providing efficient tools for data organizing and analyzing. Clustering algorithms are used in various domains such as bioinformatics, speech recognition, and information retrieval. Clustering is an automatic technique that divides a set of data objects into smaller groups such that the objects within a group are similar to each other and dissimilar to objects in other groups as much as possible. This paper reviews and discusses different clustering algorithms, their concepts, advantages, and limitations. A comparison among clustering algorithms will also be represented based on certain criteria.

Published by: Yousef Alraba'nah, Mohammed Al-refai

Author: Yousef Alraba'nah

Paper ID: V4I4-1496

Paper Status: published

Published: August 30, 2018

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Research Paper

Design and simulation of a model predictive controller for level control in a single tank system

Process control refers to the methods that are used to control and manipulate process variables in manufacturing a product. Main aim of this work is to design and simulate the working of a single input-single output (SISO) tank system using model predictive control (MPC) and conventional control and comparing the performances of both systems. The controlled variable is the liquid level in the tank and manipulated variable is the inlet flow rate of the liquid. Control systems based on a servo and regulatory control schemes are designed and simulated in Scilab. Tuning methods like Ziegler-Nichols, Coon-Cohen, and Tyreus-Luyben are used for the design of conventional controllers (P, PI, and PID). MPC system is designed using Differential Evolution heuristic. From the results obtained, it is revealed that the model predictive control scheme developed was able to control the liquid level in the tank with no offset and a settling time which was considerably lower than those offered by the conventional control schemes. The validated MPC system provides zero offset, better settling times, self-learning control action and incorporation of non-linear models with ease. This model can serve as a base for future improvement studies on the said model predictive control scheme.

Published by: Hem M Barot, Akshata Barge, Ramesh Vulavala

Author: Hem M Barot

Paper ID: V4I4-1560

Paper Status: published

Published: August 30, 2018

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Research Paper

An academic and financial overview of blockchain: Applications in educational institutions

A tsunami of pressure, transparency, mess, job-cuts, and efficiency; just some of the long-standing disruptions that Bitcoin brought with it, since its inception 9 years ago in 2009. But, hand in hand with Bitcoin came another revolution. A revolution touted to change the face of all centralized mediums. The underlying technology behind Bitcoin, that makes it a “Borderless Transparent Mutual Censorship Resistant and Immutable Currency”, Blockchain, is the main aim of this study, along with finding possible solutions and implications in the field of Academics and Education. The fundamental and core concepts of Blockchain are explained with its potential influence in various sectors, mainly Education. Keeping in mind the current state of Academia, Christ University has been taken into consideration as a model for this study.

Published by: Sudarshan M

Author: Sudarshan M

Paper ID: V4I4-1514

Paper Status: published

Published: August 30, 2018

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