Volume 9 | Issue 11 |

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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knowledge, assess, virtual training, effectiveness, genital tuberculosis

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Creative Commons Attribution 4.0 and The Open Definition

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The writer, A.Revathi, a trans woman, is a Bangalore-based activist who is giving her voice for sex-workers or sexual minorities in south India. The Truth About Me: A Hijras Life Story is her second book which was published in 2010. Actually, she belongs to hijra community which was considered to be a set aside community. In this book, she narrates her personal life events. In this story the author reveals her personal experiences which she faced, being a third gender. This novel reflects the mental agony and sufferings of every transgender. And she is also the first transgender writer who explores and informs the tragic and untold issues of heteronormative people in the society through this autobiographical story. Hence this paper highlights how the third-genders are marginalised in the colonial setup and what are the hurdles they faced including harassments during the establishment of their identity.

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Creative Commons Attribution 4.0 and The Open Definition

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Sex-workers, transgender, Colonization, Marginalization, Gender identity

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Creative Commons Attribution 4.0 and The Open Definition

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Levitation has evolved into a top choice for a variety of tasks due to its contact-free nature and reduced danger of contamination. Beyond Earnshaw's theorem, magnetic levitation utilizing diamagnetism is a sort of energy-free passive stable levitation that is possible even at room temperature. Intriguingly, even materials that don't appear to be magnetic can be lifted in a magnetic field and used to stabilise the free levitate of magnetic materials. A simple approach of controlling complex magnetic fields using thermo-magnetic and optical material features is introduced. In a closed loop control system, the user can specify the positions of milli-robots that are automatically detected and actuated to the appropriate positions and work to maintain them there. In this paper we have used several diamagnetically levitated robots, which can show how to distribute dissolved bio-chemicals in liquid while still being able to view them under a light microscope. Fluorescent molecules are loaded into hydrogels with microscale precision and released in a diffusive manner, and synthetically created bacterial cells are activated with signalling molecules. This platform can be used in a wide range of fields, including synthetic biology, developmental biology, and tissue engineering.

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ANALYSIS ON DEMONTRATION OF MICROMETER-SCALE BIOCHEMICAL INDUCTION OF BACTERIAL CELLS VIA TRANSPORT OF SIGNALING MOLECULES

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Creative Commons Attribution 4.0 and The Open Definition

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Multi-Label Text Classification is used when there are two or more classes as well as the information to be classified may relate to neither of the classifications or all of them at the very same time. Text classification with multiple labels has many real-world applications, such as categorizing businesses on Yelp or classifying movies into one or more genres. The large number of messages that were published ultimately results in scattered messages and also a very associated with a wide variety homepage that was not categorized through categories like health, sports, technology, economics, tourism, and etc. The lack of classification makes it hard for a person to interpret or obtain data relevant to particular preferred classifications. The technique of text classification, which in the classification stage is capable of classifying instantly against several classifications on unstructured text with natural language, is one remedy that can be used. In this study, the classification procedure was carried out using the BI-LSTM technique, with feature set expansion to include a term in the concepts. Because a News Titles is a short text that could lead to ambiguity in classification class and the title of the news item could be linked to a number of different sources that could lead to ambiguity in classification class, the introduction of phrase seeks to optimize the classification method. The challenge of news classification begins with web scraping to gather real-time news Titles from news websites, which are then instantly classified using different classification methodologies and introduce the Wordnet and WordSense database for multi-label news titles classification. The acquired accuracy of (Bi-LSTM) was 97.91 percent, which exceeded the approximate accuracy of each individual plan. This technique could be very helpful for academic who want to investigate headlines in order to support their instruction.

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Creative Commons Attribution 4.0 and The Open Definition

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News Classification, Multi-label Classification, Data Mining, Bi-LSTM, WordNet, WordSense

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Assess, Effectiveness, KMC Lappet, Physiological parameters, Low Birth Weight Newborn.

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Creative Commons Attribution 4.0 and The Open Definition

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This is study on wireless network security. Since wireless communication has a different form of physical transport than a wired communication environment, we have to use different measures to secure the network in a wireless environment. Wireless networks have more threats and security vulnerabilities and we need effective management for this technology. Wireless networks have very important features, as they provide the company and the user with flexibility and portability within budget. It allows users to access networks without physical cabling tied between them.

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Creative Commons Attribution 4.0 and The Open Definition

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Wireless network; Communication wireless network ;Network security

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Creative Commons Attribution 4.0 and The Open Definition

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In this short paper, non-zero integer distinct integer solutions to the surd equation with three unknowns given by" Square root of (2z) =Square root of (x+iy)+square root of (x-iy) " are obtained through the integer solutions of Pythagorean equation

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Creative Commons Attribution 4.0 and The Open Definition

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surd equation, transcendental equation ,integer solutions

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Creative Commons Attribution 4.0 and The Open Definition

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Women Plays an important role in conservation and preservation of biological diversity and also holds the traditional knowledge associated to the biological resources. The contribution of the women in preserving and conserving the biological resources is often neglected. Due to gender inequality it has never recognised also. Since the adoption of Convention on Biological Diversity the participation of women in the Access and Benefit sharing regime is overlooked. The third objective of the Convention on Biological Diversity pursues the fair and equitable sharing of benefits aroused out of the utilization of genetic resources. The implementation of this objective should be in such way that women being a one of the stakeholder should also be truly benefited. This paper will explore the rights of women enshrined under various international instruments on Access and Benefit sharing regime and Human Rights .

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords: Gender equality, Access and Benefit Sharing, Convention on Biological resources , Human Rights, Biological resources and Traditional Knowledge.

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Creative Commons Attribution 4.0 and The Open Definition

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This project provides us an overview on how to predict house prices using various machine learning models with the help of different python libraries. This proposed model considers as the most accurate model used for calculating the house price and provides a most accurate prediction. This provides a brief introduction which will be needed to predict the house price. This project consists of what and how the house price model works with the assistance of machine learning technique using scikit-learn and which datasets we will be using in our proposed model. Predicting the price of a house helps for determine the selling price of the house in a particular region and it help people to find the correct time to buy a home. In this task on House Price Prediction using machine learning, our task is to use data to create a machine learning model to predict house prices in the given region. We will implement a linear regression algorithm on our dataset. By using real world data entities, we are going to predict the price of the house in that area. For better results we require data pre-processing units to improve the efficiency of the model. for this project we are using supervised learning, which is a part of machine learning. We have to go through different attributes of the dataset.

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Creative Commons Attribution 4.0 and The Open Definition

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Python, Machine learning, scikit-learn, python libraries, data pre-processing, Linear regression algorithm, Supervised learning

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Creative Commons Attribution 4.0 and The Open Definition