Informatics Publishing Limited

M. Parvathi , K. Ravishankar

Abstract

Clitoria ternatea (CT), a perennial herbaceous plant commonly known as 'butterfly pea', has been used for centuries as a traditional Ayurvedic medicine. The aim of present study was to investigate the anti depressant (by Tail suspension test and Forced swimming test), motor coordinati on (by Rota-rod method) and locomotor (with an actophotometer) activities of ethanolic ischolar_main extract of Clitoria ternatea Linn. In experimental animals. The study revealed that the extracts (150 and 300 mg/kg, p.o.) were able to reduce the immobility time of rats in a dose-dependent manner when subjected to both Tail suspension and Forced swim tests, and the results were similar to that of standard drug imipramine (15 mg/kg, p.o.). Clitoria ternatea ethanolic ischolar_main extract (300 mg/kg) showed mild reduction in locomotor and motor coordination activity. The results indicated that ethanolic ischolar_main extract of Clitoria ternatea has significant anti depressant activity (150 mg/kg (p<0.01) and 300 mg/kg (p<0.001)) when compared with standard imipramine (p<0.001) with a mild sedative effect (300 mg/kg only). The results of the sedative effect are not statistically significant, and the sedative effect may be due to higher dose. Therefore, Clitoria ternatea may be served as a potential resource for natural psychotherapeutic agent against depression and mood disorders.

Keywords

Clitoria ternatea, Antidepressant, Muscle Relaxant, Locomotor activity, Imipramine, Diazepam

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M. Parvathi ¹, Khyrunnisa Begum ¹

Affiliations
1 Department of Studies in Food Science and Nutrition, University of Mysore, Manasagangotri, Mysore, IN

Abstract

Pregnancy is a dynamic state of anabolism, since women with varying plane of nutrition continue pregnancy to term. Pregnancy outcome however is sensitive to a variety of environmental factors resulting in either large babies (macrosomic) or low birth weight babies; under the two extreme conditions respectively.

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Swarna Uma ¹, M. Parvathi ¹

Affiliations
1 Department of Electrical Communication Engineering, SCETW, Affiliated to Osmania University, Hyderabad – 50000, Telangana, IN

Abstract

Objectives: Proposed a novel GDI (Gate Diffusion Input) based low power BCD adder to improve the performance further compared with existing BCD adder design using BBCDC reversible gates. Methods/Analysis: Reversible logic is one of the potential techniques observed for low power designs having lot of research scope in the fields of nanotechnology, which involves with quantum computing. One major advantage of reversible logic is its low power capability. The power dissipation, speed, circuit density are the main concerns of research today. The proposed GDI cell based BBCDC reversible logic is implemented using Microwind 2, with 120nm technology. Findings: The proposed GDI based BBCDC reversible adder is proved that there is 91.5% of reduction in delay, 80.7% of reduction in power dissipation, 64.58% of reduction in logic overhead, and 93.88% of reduction in area when compared with the CMOS logic. The design goal is to minimize PDP, in order to get low power with high-speed advantage. Novelty /Improvement: The proposed GDI based BCD adder using reversible logic results in 98.38% of PDP advantage over existing designs, hence more reliable with extended performance.

Keywords

Area, BCD Adder, CMOS Logic, Figure of Merit, GDI Technology, Reversible Logic

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M. Parvathi ¹

Affiliations
1 ECE Dept., BVRIT HYDERABAD College of Engineering for Women, Hyderabad, Telangana, IN

Abstract

Class room assessment is one of the key issues where in individual performance gives a great impact in the overall performance of the class. In general, various activities will help in identifying the student’s ability and weak strengths in understanding the subject as well. Though various online learning platforms are present, an overwhelmed usage is occurring due to the pandemic in this period. Nevertheless, very few online resources are giving their utmost use in efficient way. At the same time class room activities are also need to shape up accordingly that supports to the virtual platforms. Few activities like chitchat, polling, and turn around were performed through virtual platform over a class group, to address the complex engineering problems that were identified in Embedded Systems Design, an undergraduate subject. Further a common strategy was found to apply while dealing with that subject. In this process, collected the outcomes of the complete learning activities conducted during the course and using few data-mining techniques the classroom performance has been analysed. For initial analysis, k means clustering was used in which the parameters chosen are like individual marks, total class strength. The outcome of this implementation resulted in identification of clusters in the name of weak, average and best groups along with an accuracy of 46.51%. The analyses were further carried out using other measuring parameters like spontaneity, delays in answering, best answer, etc., have been chosen during the activities and Naïve Bayes Classifier was chosen for predicting the performance improvement and was observed as 70%. Finally, based on the experimental results, classification and regression supplemented by logistic was applied for further evaluation of learning performances and a remarkable accuracy progress of 96.96% is investigated in this study.

Keywords

Class Room Assessment, Complex Engineering Problems, K Means Clustering, Naïve Bayes Classifier, Logistic Regression, Learning Performance.

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