h) 2018 - 49 Documents

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ANTIPYRETIC POTENTIAL OF AQUEOUS LEAF EXTRACT OF ANNONA MURICATA.L AND SPERMACOCE ARTICULARIS. L.F.ON YEAST-INDUCED PYREXIA IN RATS
(Innovare Academic Sciences, 2018) Maruvoor Arasi, K; Krishnaveni, C
The objective of this study is to evaluate the potential of in vivo antipyretic activity of the aqueous leaf extracts of Annona muricata L. and Spermacoce articularis. L.f.
AN APPROACH TO SEGMENT THE HIPPOCAMPUS FROM T2-WEIGHTED MRI OF HUMAN HEAD SCANS FOR THE DIAGNOSIS OF ALZHEIMER’S DISEASE USING FUZZY C-MEANS CLUSTERING
(Springer Link, 2018) Genish, T; Prathapchandran, K; Gayathri, S P
The human brain plays a key role in memory-related functions such as encoding, storage, and retrieval of information. A defect in the brain results in memory impairment such as Alzheimer’s disease (AD). Atrophy in the volume of hippocampus (Hc) is the earlier symptom of AD. Therefore, to study the Hc, one needs to segment it from the magnetic resonance imaging (MRI) slice. In this paper, a semiautomatic method is proposed to segment the Hc from MRI of human head scans. The proposed method uses geometric mean filter for image smoothing. The fuzzy C-means clustering is applied to convert the filtered image into three distinct regions. From those regions, the image is classified into region of interest (ROI) pixels and non-ROI pixels. The proposed method is applied to five volumes of human brain MRI. The Jaccard (J) and Dice (D) indices are used to quantify the performance of the proposed method. The results show that the proposed method works better than the existing method. The average value of Jaccard and Dice is obtained as 0.9530 and 0.9744, respectively, for the five volumes.
ASSESSMENT OF LOW CARBON STEEL CORROSION INHIBITION BY ECO-FRIENDLY GREEN CHAENOMELES SINENSIS EXTRACT IN ACID MEDIUM
(The Korean Electrochemical Society, 2018-07-16) Ill-Min, Chung; Venkatesan, Hemapriya; Kanchana, Ponnusamy; Natarajan, Arunadevi; Subramanian, Chitra; Chi-Hee, Youn; Seung-Hyun, Kim; Mayakrishnan, Prabakaran
The impact of methanol extract of Chaenomeles sinensis (C. sinensis) leaves on acid corrosion of low carbon steel was assessed by gravimetric and electrochemical methods. Phytochemical characterization by total phenolic content (TPC), and total flavonoids content (TFC) of the extract was performed. The TPC and TFC concentrations were identified as 193.50 and 40.55 mg/g. Efficiency increased remarkably in the presence of inhibitor and found as concentration dependent. A maximum inhibition efficiency of 93.19% was achieved using 2000 ppm of the C. sinensis inhibitor. Impedance and surface morphology analysis by SEM and AFM revealed that the anticorrosive activity results from the protective film of phytochemical components of C. sinensis extract adsorbed on the metal surface.
ASSESSMENT OF MACRONUTRIENTS (N, P AND K) OF MONOCULTURE, POLYCULTURE AND TERMITORIA SOILS IN POLLACHI, UDAMALPET TALUKS IN COIMBATORE AND TIRUPUR DISTRICTS, TAMIL NADU, INDIA
(Research Journal of Chemistry and Environment, 2018-04) Kalaichelvi, S; Ezhili, N
The objective of this research was to calculate the variation in pH and macro nutrients (N, P and K) of monoculture and polyculture soils compared with the termitoria soil from Pollachi and Udamalpet in Coimbatore and Tirupur Districts, Tamil Nadu, India during March 2013 to February 2014. The soil pH, N, P and K level are observed and compared in different soil samples. When compared to monoculture and polyculture soil, the termitoria soil pH, N, P and K favour agriculture and retain the plant nutrients. Through this study, we observed that termitoria soil pH and macronutrients are generally more than the monoculture and polyculture soils. Polyculture soil contains more nutrients when compared with monoculture soil. The study showed highly positive correlation between termitoria soil, monoculture and polyculture soils. The result highlights the value of termites and their beneficial role in soil and agriculture.
BINDING AFFINITY PREDICTION MODELS FOR SPINOCEREBELLAR ATAXIA USING SUPERVISED LEARNING
(Springer Link, 2018-08-21) Asha, P R; Vijaya, M S
Spinocerebellar Ataxia (SCA) is an inherited disorder flow in the family, even when one parent is affected. Disorder arises mainly due to mutations in the gene, which affects the gray matter in the brain and causes neuron degeneration. There are certain types of SCA that are caused by repeat mutation in the gene, which produces differences in the formation of protein sequence and structures. Binding affinity is essential to know how tightly the ligand binds to the protein. In this work, the binding affinity prediction model is built using machine learning. To build the model, features like Binding energy, IC50, Torsional energy and surface area for both ligand and protein are extracted from Auto dock, auto dock vina and PYmol from the complex. A total of 17 structures and 18 drugs were used for building the model. This paper proposes a predictive model using applied mathematics, machine learning regression techniques like rectilinear regression, Artificial neural network (ANN) and Random Forest (RF). Experimental results show that the model built using Random Forest outperforms in predicting the binding affinity.
COMPARATIVE STUDY OF ADSORPTION OF LINEAR ALIPHATIC/AROMATIC POLYESTERS AT METAL/0.5 M H2SO4 INTERFACE
(Elsevier, 2018-10) Nusrath Unnisa, C; Subramanian, Chitra
Two polyesters namely poly (glycerol adipate) (PGA) and 4-(1-(4-methoxyphenyl) cyclohexyl) phenyl 6-oxoheptanoate (MPOHP) were synthesised in a facile manner and characterised using Fourier transform infrared spectroscopy (FT-IR) and nuclear magnetic spectroscopy (NMR). The synthesised polyesters were subjected to evaluate the mild steel protecting ability at various concentrations of 10, 50, 100, 500, 1000 ppm in 0.5 M H2SO4 medium. A precise comparison of metal protecting ability rendered by both aliphatic and aromatic moiety was analysed. As an initiation, gravimetric measurements carried out at room temperature resulted with increased inhibition efficiency with increased concentration. Higher temperature studies suggested physisorption mechanism resulting with decreased inhibition efficiency. Experimental results were best fitted with Langmuir adsorption isotherm model. Electrochemical impedance measurements carried out for the selected concentrations of the inhibitors (10, 100, 1000 ppm) revealed increased charge transfer resistance (Rct) with a maximum inhibition efficiency of 54.07% (PGA) and 69.92% (MPOHP) at 1000 ppm indicating the formation of protective barrier. Potentiodynamic polarisation method suggested mixed type of inhibition of both PGA and MPOHP on the metal surface resulting in decreased metal dissolution that could be evidenced from lowered corrosion current density
COMPLEMENTARY PLACE TRANSFORMATION IN PETRI NETS
(IEEE Xplore, 2018-12-13) Kavitha, K; Babitha, T; Praveena, V
Now-a-days in engineering practice, the framework advancement has by and large been confronting some real needs - the need to grow progressively complex frameworks, the need to evaluate the framework's operational dangers and the need cost focused answer for accomplish these prerequisites. In need to this another model called Petri nets is presented. A Petri net is a conceptual, formal model of data stream. As a graphical and scientific apparatus, it gives a uniform situation to displaying, formal examination, and outline of discrete occasion frameworks. The principle target of this paper is to present the major ideas of Petri nets which work in the regions of demonstrating and investigation of mechanical kinds of frameworks and the idea of corresponding spot changes.
CONFISCATION OF NITRATE ION FROM AQUEOUS MEDIUM USING A NOXIOUS AQUATIC WEED - A BOON FROM BANE
(Indian Journal of Environmental Protection, 2018-06) Shyamala Devi, N; Revathi, R
Water is an essential natural resource for sustaining life and environment. It is a nature's free gift, but clean and safe drinking water becomes scarce due to rapid industrialization and urbanization. The elevated levels of nitrate (N03∼) in drinking water leads to severe impacts on the environment. Water hyacinth (WH) an aquatic weed grow at a faster rate in polluted waters containing dissolved nitrogen and phosphorous. The present study focused on the removal of nitrate anions from aqueous solution through adsorption technique. The chosen biomaterial is chemically modified using phosphoric acid to enhance its sorption efficiency, thereafter referred as modified water hyacinth (MWH). To characterize the surface functional group and morphology of the adsorbent scanning electron microscopy and FT-IR analyses are recorded. The competence of the sorbent material is experimentally verified through various operating factors likely particle size, adsorbent dosage, agitation time, initial concentrations of nitrate ions, pH of the medium, an effect of co-ions and influence of temperatures on nitrate-modified water hyacinth system through batch mode. The residual concentrations of nitrate ions from aqueous solutions are analysed using the UV-visible spectrophotometer. Langmuir and Freundlich's models are applied to describe the adsorption capacity. Isotherm plots reveal the mono linearity of both the isotherms onto nitrate-modified water hyacinth system.
CORROSION RESISTANCE OF MILD STEEL IN SULPHURIC ACID SOLUTION BY COREOPSIS TINCTORIA EXTRACT: ELECTROCHEMICAL AND SURFACE STUDIES
(2018-07-24) Kathirvel, Kalaiselvi; Ill-Min, Chung; Seung-Hyun, Kim; Mayakrishnan, Prabakaran
The purpose of this paper is to investigate the inhibitive performance of Coreopsis tinctoria (C. tinctoria) plant extract for the corrosion of mild steel in 0.5 M H2SO4.
DECISION TREE BASED MODEL FOR THE CLASSIFICATION OF PATHOGENIC GENE SEQUENCES CAUSING ASD
(Springer Link, 2018-08-21) Pream Sudha, V; Vijaya, M S
Pathogenic gene identification is an important research problem in biomedical domain. The genetic cause of ASD, which is a multifaceted developmental disability is hard to research. Hence, there is a critical need for inventive approaches to further portray the genetic basis of ASD which will enable better filtering and specific therapies. This paper adopts machine learning techniques to classify gene sequences which are the significant drivers of syndromic and asyndromic ASD. The synthetic dataset with 150 sequences of six different categories of genes were prepared and coding measures of gene sequences were taken as attributes for gene identification. Pattern learning algorithms like support vector machine, decision tree and Multiplayer perceptron were used to train the model. The model was evaluated using 10 fold cross validation and the results are reported. The study reveals that Decision trees outperform other classifiers with an accuracy of 97.33%
DEVELOPMENT OF POLY(GLYCEROL SUBERATE) POLYESTER (PGS)–PVA BLEND POLYMER ELECTROLYTES WITH NH4SCN AND ITS APPLICATION
(Springer Link, 2018-02-28) Nusrath Unnisa, C; Chitra, S; Selvasekarapandian, S; Monisha, S; Nirmala Devi, G; Moniha, V; Hema, M
Besides commercially available synthetic polymers, the present work has been undertaken to explore the significance of poly(glycerol suberate) (PGS) polyester synthesised under lab scale in energy storage device. In this regard, a blend polymer electrolyte comprising of polyvinyl alcohol (PVA), poly(glycerol suberate) (PGS) polyester along with the various proportions of ammonium thiocyanate (NH4SCN) was prepared adopting solution casting technique. The synthesised polyester PGS was characterised by Fourier transform infrared (FT-IR) spectroscopy, 1H and 13C nuclear magnetic resonance (NMR) spectroscopy. The prepared electrolyte film was subjected to FT-IR analysis to study the complexation that has occurred within the blend. Its amorphous nature was revealed from X-ray diffraction (XRD) studies. Influence of NH4SCN on the glass transition temperature (Tg) was drawn from differential scanning calorimetry (DSC) technique. The dispersion of dopant within the polymer matrix was supported by scanning electron microscopy (SEM) followed by its elemental composition from energy dispersive spectroscopy (EDS). From the AC impedance technique, maximum conductivity of 3.01 × 10−4 S cm−1 was elicited for the optimised electrolyte (1 g PVA + 0.75 g PGS + 0.6 g NH4SCN). Frequency-dependent dielectric and modulus spectra were analysed to study the mechanism of transportation. Transport parameters evaluated by Wagner’s polarisation method proved that the conductivity was predominantly due to cations. Proton conducting battery was configured with the highest conducting electrolytic film and its cell parameters are presented.
EFFECT OF CHELATING AGENT ON THE SOL-GEL THERMOLYSIS SYNTHESIS OF LINIPO4 AND ITS ELECTROCHEMICAL PROPERTIES FOR HYBRID CAPACITORS
(Elsevier, 2018-08) Priyadharsini, N; Rupa Kasturi, P; Shanmugavani, A; Surendran, S; Shanmugapriya, S; Kalai Selvan, R
The present work reports the preparation of olivine structured LiNiPO4 nanoparticles through sol-gel thermolysis method using three different chelating agents of citric acid (LiNi-C), l-ascorbic acid (LiNi-A) and D-sorbitol (LiNi-S). The flame temperature and enthalpy change of each reaction using the chelating agent is calculated. Further, the sharp X-ray diffraction peak reveals the phase pure and high crystalline nature of the prepared LiNiPO4 nanoparticles with the space group of Pnma (62) irrespective of the chelating agents. The four possible fundamental vibrations of phosphate anion PO43− are revealed through Fourier Transform Infrared Spectroscopy (FTIR) studies. The presence of elements such as Ni, P and O and its valence state is identified through X-Ray Photoelectron Spectroscopy analysis. The spherical shape particles with the uniform size distribution of LiNi –S is observed than the LiNi-C, LiNi-A particles through FESEM analysis. The redox peaks and plateau regions in the cyclic voltammetry (CV) and Galvanostatic charge-discharge (GCD) profiles infer the dominance of battery-type charge process rather than a capacitive mechanism. As a result, LiNiPO4 exhibits a maximum specific capacitance of 417 F g−1 at 2 mV s−1 and 357 F g−1 at 1 mA cm−2 in 1 M LiOH, which enables as a suitable cathode material for hybrid supercapacitor. Also, the assembled hybrid supercapacitor delivered a high energy density of 12.5 Wh kg−1 at 200 W kg−1 as well as a longer cycle life of 89% at a current density of 1 mA cm−2 over 2000 cycles is noticed. These results infer that LiNiPO4 could be used as a novel electrode material for hybrid supercapacitor application.
EFFECT OF ROTATION ON THERMAL STABILITY OF SUPERPOSED FLUID AND POROUS LAYER
(International Journal of Engineering Research and Technology, 2018) Aiswarya, S; Arunachalam, T; Sumathi, K
In this paper linear stability of a viscous incompressible fluid saturated porous medium under the influence of rotation is investigated. Closed form solutions of velocity, temperature and fluid vorticity in terms of wave number as perturbation parameter have been obtained. The influence of various non-dimensional parameters such as Taylor number, Grashof number, Prandtl number, Darcy number, porosity and wave number on stability characteristics of flow field are discussed numerically.
AN EFFICIENT CONVOLUTIONAL NEURAL NETWORK BASED CLASSIFIER TO PREDICT TAMIL WRITER
(Periodicals of Engineering and Natural Sciences, 2018-06) Thendral, Tharmalingam; Vijaya, Vijayakumar
Identification of Tamil handwritten calligraphies at different levels such as character, word and paragraph is complicated when compared to other western language scripts. None of the existing methods provides efficient Tamil handwriting writer identification (THWI). Also offline Tamil handwritten identification at different levels still offers many motivating challenges to researchers. This paper employs a deep learning algorithm for handwriting image classification. Deep learning has its own dimensions to generate new features from a limited set of training dataset. Convolutional Neural Networks (CNNs) is one of deep, feed-forward artificial neural network is applied to THWI. The dataset collection and classification phase of CNN enables data access and automatic feature generation. Since the number of parameters is significantly reduced, training time to THWI is proportionally reduced. Understandably, the CNNs produced much higher identification rate compared with traditional ANN at different levels of handwriting.
ENHANCED ANTIMICROBIAL ACTIVITY OF ALOE VERA BLENDED ZINC OXIDE NANOPARTICLES IN PVA MATRIX
(Elsevier, 2018) Sharmila, Chandran; Jincy Chemmanda, Sunny; Selvi, Chandran; Chandrashekar, Bellan
Aloe vera, a traditional medicinal plant belongs to Liliaceae family that has been adored for centuries as a remedy for skin infections & cuts. The active ingredients such as berberine and gallic acid present in Aloe vera plays a major role in making the plant a therapeutic agent. In order to increase the efficiency of the plant, ZnO is blended with Aloe vera gel. The Aloe vera blended ZnO nanoparticles was then encapsulated using Polyvinyl Alcohol (PVA) polymer and were subjected to different characterization techniques. The cell viability of Aloe vera blended ZnO nanoparticles in PVA matrix was evaluated and in vitro studies against wound creating pathogens were carried out.
EVALUATION OF IN VITRO ANTIOXIDANT ACTIVITY OF A MEDICINAL HERB, WEDELIA CHINENSIS (OSBECK) MERRILL.
(Innovare Academic Sciences Pvt Ltd, 2018-10-07) Rehana Banu, H; Nagarajan, N
The objective is to evaluate the antioxidant activity of the methanolic leaf extract of Wedelia chinensis.
EXPLORING THE STRUCTURE AND STABILITY OF Β-DIPEPTIDE – A QUANTUM CHEMICAL AND MOLECULAR DYNAMICS STUDY
(Indian Journal of Pure & Applied Physics, 2018-07) Abiram, A; Praveena, G
Density functional theory (DFT) calculations followed by molecular dynamics study has been performed to analyze the structure and stability of β-dipeptide structures in aqueous medium. From DFT study, three local minima with folded conformations and one local minimum with unfolded conformation have been identified. In gas phase, the most stable β-dipeptide has a folded conformation with a weak hydrogen bonding. The interaction of water molecules, approximated from the first solvation shell, also confirms the folded conformation to be the most stable structure. The DFT optimized β-dipeptide conformers have been simulated in explicit water to evaluate the tendency of folded and unfolded state formation. Simulations confirmed the transition of the structure from folded to unfolded and vice versa and further indicated the former to happen rapidly within a few pico second time scale.
EXPONENTIAL STABILITY BEHAVIOR OF NEUTRAL STOCHASTIC INTEGRODIFFERENTIAL EQUATIONS WITH FRACTIONAL BROWNIAN MOTION AND IMPULSIVE EFFECTS
(SpringerOpen, 2018-03-27) Yong-Ki, Ma; Arthi, G; Marshal Anthoni, S
In this paper, by employing the fractional power of operators, semigroup theory, and fixed point strategy we obtain some new criteria ensuring the existence and exponential stability of a class of impulsive neutral stochastic integrodifferential equations driven by a fractional Brownian motion. We establish some new sufficient conditions that ensure the exponential stability of mild solution in the mean square moment by utilizing an impulsive integral inequality. Also, we provide an example to show the efficiency of the obtained theoretical result.
FACILE SYNTHESIS, CHARACTERIZATION AND APPLICATION OF MAGNETIC NANO COMPOSITES IN SEQUESTRATION OF TEXTILE DYE
(Indian Journal of Environmental Protection, 2018-10) Thangamani, K S; Narasimman, Muthulakshmi Andal; Ranjith Kumar, E; Suba Arumugam, V
Prosopis juliflora bark activated carbon-cobalt ferrite magnetic composite (PJBAC-CFC) was syhthesised by the auto-combustion method and employed for the removal of direct brown 2 (DB2) from aqueous solutions. The prepared composite was characterized by powder XRD, SEM, EDAX, AFM, N2 adsorption-desorption isotherm and magnetisation measurement. Operating factors influencing the rate adsorption, namely initial dye concentrations, doses of sorbent materials, preset time intervals, variable pH and temperature environments are substantiated by batch equilibration method. Adsorption is observed to be more pronounced at pH 2. The magnetized composite material exhibited enhanced sorption characteristics. The isothermal adsorption data fit well with Freundlich isotherms. Kinetic studies favour the system to follow the second-order. The outcome of the present work indicates that Prosopis juliflora bark activated carbon - cobalt ferrite magnetic composite can be effectively used as a cost-effective potential adsorbent for trapping the dye molecules.
GAS CHROMATOGRAPHY AND MASS SPECTROMETRY OF THE ETHANOLIC EXTRACT OF NEST MATERIAL OF MUD DAUBER WASP, SCELIPHRON CAEMENTARIUM
(Innovare Academic Sciences, 2018-04-06) Susheela, P; Rosaline, Mary; Radha, R
The objective of the present study was to determine the chemical compounds present in the nests of the mud dauber wasp, Sceliphron caementarium