Volume 8 | Issue 6 |

 Abstract

This paper examines the representation of diasporic Arab female writers� experience in the American society. The paper discusses the diasporic identity and consciousness in Arab diasporic fiction in the United States. It also traces the ways in which Arab diasporic women encounter the sense of otherness and multiple forms of exclusion that builds their estrangement in the diaspora. The study draws on several theoretical models such as cultural assimilation and trauma. However the three female characters in the novel reconstruct identity through interaction between old homeland and the new host society and between the eastern culture and the western culture. It reflects how they appear as a hyphenated subjects, depicting the challenge of cultural conflict and the sense of displacement. This paper tries to answer questions like: Are the Arab diasporic female characters able to assimilate and integrate with American culture?, Are they able to compromise between their Arabic traditional cultures of their Homeland with the culture of the host land? and Does American culture affect the behavior of these female Arab Immigrants? The paper exposes the hybridity and diversity of these Arab diasporic female characters. The character Hala desires to be accepted by the American people, experiencing as a consequence, a kind of frustrated assimilation. The conflict between what she experiences in America and what her family wants her to be. Also the paper sheds light on the stereotypes of the Arab immigrants in the American society. It shows how the character Khadija suffers the acculturation and how she couldn�t adjust herself with her American friends and their open sexual relationships which are against her Arabic culture.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Diaspora, Arab, Female, Cultural encounter, Assimilation, Hyphenated, Conservation

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Sentiment Analysis is the process use to determine the semantic orientation of the reviews. There are many algorithms are exists for the sentiment classification. Support vector machines are a specific type of machine learning algorithm used for many statistical learning problems, such as text classification, spam filtering, face and object recognition, handwriting analysis and countless others. Ideas and opinions of peoples are influenced by the opinions of other peoples. Lot of research is going on analysis of reviews given by peoples. Big data is an assortment of large data sets where data is present either in structured or unstructured form. With the advent of social media websites, online user opinions are acquiring more heed of researches because beneficial information about different subjects is available on social media. In this paper we proposed a system which involves collecting data from social network using the Google, Flipkart, Twitter and Facebook API�s. Then, the challenges of big data a resolved using Hadoop through MapReduce framework where the complete data is mapped and reduced to smaller sizable data to ease of handling and finally includes analyzing the collected data and represent the results through graphs.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

HDFS, Sentiment analysis, Pig, MapReduce, Hive

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Today�s security purpose, face recognition system approach is used in biometric systems, face recognition is widely used for security purposes as compared to the other systems that are used in security purposes. Face recognition systems are also easily spoofed and unsafe for our security system because face recognition can be done by the images, video frames. Images or videos of a person can be easily available from social media or the internet and can be easily downloaded. Also, pictures of a person can be captured from some distance. As there are more applications, where face recognition is used, this act of sealing and identifying is becoming more serious as people think. To protect from this kind of scams and spoofing, liveness detection technology has been implemented in our system.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Deep Learning, Face detection, Face liveness detection, Face recognition, Machine learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Machine Learning algorithms are being widely used in the prediction of cancer type based on the past data. The machine learning algorithm is trained with past data that can be used to predict the type and severity of cancer, which can help the medical professional in treating cancer. The early and quick diagnosis of a cancer type have become a necessity in cancer research. In this study, the past data is pre-processed and was used to train several different machine learning models such as Logistic Regression, Support Vector Machine, K-Nearest Neighbour with the comparison of each model using Log-loss and Accuracy as performance metric. The result obtained after comparison of each model was the Logistic Regression with feature engineering attained the highest accuracy and least log-loss in both training and testing of our data.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine learning (ML), Logistic Regression (LR), Support Vector Machine (SVM), K-Nearest Neighbour (KNN), Naive Bayes (NB).

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Creative Commons Attribution 4.0 and The Open Definition

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Medicinal plants are being widely used in India directly in folk medicine. Burgeoning interest in herbal plants has increased scientific scrutiny for their therapeutic potential and safety. In spite of advances made available in allopathic medicine, so far no effective anticancer drugs are available due to its side effects. Sorghum bicolor is commercial plant in India. The grains are used as source of food, whereas the bran is usually discarded as waste. The bran is rich in anthocyanins. The anthocyanins are isolated, its efficacy as nanoparticle and antioxidant is evaluated in the present study. The observations of the study confirms the antioxidant nature of the nanoparticles of sorghum bran.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sorghum bran, nanoparticles, antioxidants

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Trade involves the transfer of goods to services from one person or entity to another, often in exchange for money . A system or network that allows trade is called a market. An early form of trade, barter , saw the direct exchange of goods and services. Barter involves trading things without the use of money. Trade originated with human communication in pre historic times. Trading was the main facility of pre-historic people, who bartered goods and services from each other before the innovation of modern day currency.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Network, trade, market, barter, communication

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The phenomenon of economic development is a composite of several, factors, which may not necessary have economic connotations; The contribution of human resource to economic growth of any country cannot be overemphasized, especially in a country like India which is still reeling under the pressures of its mammoth population and limited capital resource. The Indian economy can well be studied in two distinct sectors, organized and unorganized (informal). The widespread informal sector in the country is a major contributor to its development but at the same time it is plagued by several problems such as no proper service rules, no wage rules and no possibilities of career advancement. Another notable fact is that as many as 94% of total women workers work in the informal sector in India but they have to face gender discrimination which is almost inexistent in formal sector. Besides, their contribution in terms of income generation turns out to be less than their male counterparts, which means almost half of the population, contribute to less than to half the national income. The present paper aims at understanding this lopsided utilization of human capital and its fall outs.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Informal sector, women workers, Gender Discrimination

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract The purpose of the study was to find out the relationship between Fitness and Performance variables of hockey players in Kerala state. The sub problem of the study is to identify those significant Fitness and Performance variables which do contributes to elite performances among hockey players in Kerala state. The subjects were 100 male university level hockey players of Calicut University, M.G. University, and Kerala University and their age ranged from 17 to 25 years.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

hockey, physical fitness, Physical performance

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Acanthus ilicifolius generally known as Sea holy and holy mangrove. The plant has enormous biological value and plant utilized as elective medication to treat- various diseases. In this article, we attempted to give the current data on phytochemical constituents, therapeutic uses and anti-microbial, anti-inflammatory, anti-diabetic activities and other biological activities of Acanthus ilicifolius. This paper gives an outline on covering the biology, and various commercial and therapeutic applications. The extract of different parts of Acanthus ilicifolius indicated huge pharmacological activities so it is important to perform advance investigation to isolate such pharmacological active compounds which can be used for treating different diseases.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Acanthus ilicifolius, Holy mangrove, Biological activities.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Whole world is facing the pandemic of COVID-19 infection today after it detected in December 2019 in China. From two confirm cases in India at the early 2020, it became 216,919 as of now. Though India is facing a high infection rate, death rate is much lower than other countries. So, as to know the genomic level variation and to analyze the main cause behind the types the present investigation has been prepared. The Present study showed 5 haplotypes from the complete genome sequences publicly available in GenBank which could be further use for the variation studies leading to the types and severity of this virus.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

COVID-19, Haplotype, Variation, GenBank

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Creative Commons Attribution 4.0 and The Open Definition