Thematic and Stylistic Analysis of Maya Angelou Poems: A Review of Literature

Poetry is a form of creative art, through which many writers express their emotions, feelings, and also their bitter experiences to the world. Poetry, along with autobiography helped in the revelation of self, especially among African-Americans. Black women writers, in particular, have experienced many trials and tribulations while struggling for identity and freedom in the land of America. As women were considered inferior since the early period, their writings reflect deeply on their life stories and create a positive self-identity. Qualitative descriptive method is commonly used in the reviewed articles. This article examines the existing research on Angelou’s poems with the explored areas such as racism, gender issues, figurative analysis, feminism, stylistics, etc., and identifies the characteristics of self-portrait in them

A Survey on Entry Restriction System for the Fake Server Scheme

Phishing is an endeavor by an individual or a gathering to steal individual secret data, for example, passwords, MasterCard data and so forth from clueless casualties for wholesale fraud, monetary profit and other deceitful exercises. Visual cryptography is an exceptional kind of mystery sharing. In this paper we have proposed another approach for phishing sites characterization to tackle the issue of phishing. Phishing sites include an assortment of signals inside its substance parts and also the program based security pointers gave along the site. The utilization of pictures is investigated to save the security of picture captcha by deteriorating the first picture captcha into two shares that are put away in particular database servers with the end goal that the first picture captcha can be uncovered just when both are at the same time accessible; the individual sheet pictures don't uncover the personality of the first picture captcha. Once the first picture captcha is uncovered to the client it can be utilized as the secret word. A few arrangements have been proposed to handle phishing. By the by, there is no single enchantment shot that can illuminate this risk fundamentally. In this review, the creators shed light on the essential components that recognize phishing sites from genuine ones and survey how great govern based information mining grouping procedures are in anticipating phishing sites and which characterization system is ended up being more dependable

Granular Mobility-Factor Analysis Framework for enriching Occupancy Sensing with Doppler Radar

With the growing need for adoption of smarter resource control system in existing infrastructure, the proliferation of occupancy sensing is slowly increasing its pace. After reviewing an existing system, we find that utilization of Doppler radar is less progressive in enhancing the accuracy of occupancy sensing operation. Therefore, we introduce a novel analytical model that is meant for incorporating granularity in tracing the psychological periodic characteristic of an object by emphasizing on the mobility and uncertainty movement of an object in the monitoring area. Hence, the model is more emphasized on identifying the rate of change in any periodic physiological characteristic of an object with the aid of mathematical modelling. At the same time, the model extracts certain traits of frequency shift and directionality for better tracking of the unidentified object behavior where its applicabilibility can be generalized in majority of the fields related to object detection

Effect of Calendula officinalis Flower Extract on Acute Phase Proteins, Antioxidant Defense Mechanism and Granuloma Formation During Thermal Burns

Effect of Calendula officinalis flower extract was investigated against experimentally induced thermal burns in rats. Burn injury was made on the shaven back of the rats under anesthesia and the animals were treated orally with different doses of the flower extract (20 mg, 100 mg and 200 mg/kg body weight). The animals treated with the extract showed significant improvement in healing when compared with the control untreated animals. The indicators of the wound healing such as collagen-hydroxyproline and hexosamine contents were significantly increased in the treated group indicating accelerated wound healing in the treated animals. The acute phase proteins—haptoglobin and orosomucoid which were increased due to burn injury were found to be decreased significantly in 200 mg/kg body weight extract treated animals. The antioxidant defense mechanism, which was decreased in the liver during burn injury, was found to be enhanced in treated animals. The lipid peroxidation was significantly lowered in the treated group when compared to control animals. Tissue damage marker enzymes- alkaline phosphatase, alanine and aspartate transaminases were significantly lowered in the treated groups in a dose dependant manner. The histopathological analyses of skin tissue also give the evidence of the increased healing potential of the extract after burn injury

Holistic Analysis of Scheduled Tribe College Students

Education is one of the primary agents of transformation towards development. Education is in fact, an input not only for economic development of tribes but also for inner strength of the tribal communities which helps them in meeting the new challenges of life. (KabitaKumariSahu, 2014) Mixed methodology and Follow up Explanation model design is used in the research. Purposive sampling technique has been used for collecting data through Online questionnaire and in-depth interviews. Holistic analysis focuses on analyzing socio, economic and political order of students. The major findings include the influence of peer, adaptability of students, participation roles, challenges faced, and other components. The suggestions would be based on the need in the institution by working accordingly to the instructions of the UGC Guidelines to help build an inclusive discrimination free learning environment. (UGC, 2018

Sigma Chromatic Number of Some Graphs

The Sigma coloring  of a graph G with n vertices is an injection from V(G) to {1,2,3...,n}  such that the color sums (adding  the colors of the neighbouring vertices) of any two neighbouring vertices are different. The smallest number  of  colours  needed  to color a graph G  is represented by its Sigma Chromatic number. In this article  we obtain the sigma -coloring of some graphs such as Barbell Graph, Twig graph, Shell graph,Tadpole, Lollipop, Fusing all the vertices of cycle and duplication of every edge by a vertex in cycle

IDENTIFICATION OF ETHNOMEDICINAL COMPOUNDS AND ANTIMICROBIAL STUDIES OF SALVADORA PERSICA L. (SALVADORACEAE)

Objective: Salvadora persica L. is a dense foliaceous evergreen shrub or small tree with diversified medicinal properties. The objective of this work was to do a comparative study on phytochemical composition between different plant parts of S. persica collected from the southern region of India. Methods: The phytochemical analysis of ethyl acetate fraction of ethanolic extracts from leaves, tender stems and tree bark of S. persica was done by gas chromatography-mass spectrometry/mass spectrometry (GC-MS/MS). Also, the anti-bacterial and anti-fungal activity of extracts was analyzed in vitro by Disc-diffusion method. Results: GC-MS/MS analysis of S. persica showed 29 phytocompounds. Among them, except for eugenol, caryophyllene, benzyl isothiocyanate, oleic acid, and fatty acid, the remaining 24 phytocompounds were newly reported in the present study. For the first time, a maximum amount of benzyl isothiocyanate (73.5%) was identified from tree bark extract of S. persica and this extract showed higher in vitro antimicrobial activity against gram-positive, gram-negative bacteria and fungi than leaves and tender stems. Conclusion: The study demonstrated that benzyl isothiocyanate could be the major antimicrobial component in S. persica

Analytical framework for optimized feature extraction for upgrading occupancy sensing performance

The adoption of the occupancy sensors has become an inevitable in commercial and non-commercial security devices, owing to their proficiency in the energy management. It has been found that the usages of conventional sensors is shrouded with operational problems, hence the use of the Doppler radar offers better mitigation of such problems. However, the usage of Doppler radar towards occupancy sensing in existing system is found to be very much in infancy stage. Moreover, the performance of monitoring using Doppler radar is yet to be improved more. Therefore, this paper introduces a simplified framework for enriching the event sensing performance by efficient selection of minimal robust attributes using Doppler radar. Adoption of analytical methodology has been carried out to find that different machine learning approaches could be further used for improving the accuracy performance for the feature that has been extracted in the proposed system of occuancy system