Volume 9 | Issue 10

 Abstract

The life base of South Asian states is the Indian Ocean. This ocean's geographical security, sovereignty, development, destruction, life of these states depends on this natural heritage. The only ocean in the world that has been named after a country (India, Hind). It provides many resources to these states and the world. In 1971, there was a clash of two great ideas and suddenly this area became important from other fields. There was a sudden flurry of treaties, military exercises, military deployment, etc., and today this region has become the center of world politics in the 21st century. The presence of the world's superpowers America, France, China, Japan, Russia can be seen. Which has created a crisis for the mutual interests, sovereignty, foreign policy of the original Indian Ocean countries. The clash of capitalism and communism is disturbing the peace of the Indian Ocean.

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national security, treaties, war exercises, India, center of politics, maritime law

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The main focus of this paper is the effect of culture and significances, thereby faced by a woman and the discrimination between them, the males and the oppressions of married life in a social-psychological aspects. Social psychology helps people to understand the human endeavours according to their environment and how to deal with mental states in social situations. This comparative study brings about the difficulties faced by women of generations, that they face because of society norms from the beginning.The devastation of female especially in their married life was a matter of concern as the war of generations is the main focus of these novels. It dealt about how the people construct their social reality and their attitudes shape their behaviour. Customs and traditions are a very significant focus on social psychological experience that makes the women to fought for generations by realization andacceptance.

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Culture, social situations, generations, women folk, mental states and attitudes

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 Abstract

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Internet, Textbooks, Trends, English Language.

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Upliftment, outcastes

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Religious tourism remains an unstrapped sector by the hospitality industry despite it being very popular among the devotee.The region of Nagpur dotted with various spiritual and religious destination that can be explored and develop into popular tourist destinations. Entire territory is bless with scenic beauty and remains a hotspot for tourist. Adding religious places to tourism sector can help the region make a fortune.

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Religion, tourism, survey, literature, Budha stupa

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Crimean-Congo Hemorrhagic Fever (CCHF), Viral disease, Afghanistan.

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The term crptocurrency is marvel of late years representing computerized money dependent on standards of cryptography. Overall population might befuddle this term bitcoin, however numerous other crptocurrency emerged. The essential standards of all crptocurrencies are comparative and momentarily presented in this paper. The current review is centered around surveying the effect of crytocurrency. Crptocurrency are the new item in economy. The review responds to the inquiry 1.the crytocurrency is legitimized? 2. Is making an interest in crptocurrency is actually similar to making an interest in shares?. Besides fundamental plan of crytocurrency are examined.

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Cryptocurrency, Bitcoin, Digital currency, Blockchain Technology.

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Healthy food habits in girls during adolescence are of utmost importance as practices followed during this age are carried out in the future and influence the food habits and thus the health of their families and community. So, the present study was carried out to assess the food and nutrient intake, anthropometric measurements, nutritional knowledge and dietary practices of hostel girls studying in Teerthanker Mahaveer University, Moradabad. A total of 100 girls staying in the hostel of Teerthanker Mahaveer University were selected using random sampling, and the data was collected regarding socio-economic profile, food and nutrient intake, anthropometric subjects, nutrition knowledge and dietary practices using survey schedules by interview method. The results revealed that the intake of mostly nutrients was deficient except for fat and vitamin C, which was 187.4 and 121.4 per cent 50-75% of the RDA. Only 68% of girls were normal according to BMI, and the rest were malnourished, with 18 per cent undernourished and 14 per cent over nourished. The reason for this was faulty food habits which were judged by their attitude and dietary practices. The majority of the population 55 per cent of girls had high knowledge level, 41 per cent had a medium level, and only 4% had low nutrition knowledge. The result of nutrition knowledge depicts that nutrition knowledge was not poor, but the population followed the wrong practices for food consumption. So, it is recommended to carry out campaigns in order to motivate the girls to follow good dietary practices.

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As the speed of innovation increases at an accelerating rate, Individuals' ways of sharing their views on different websites is also expanding. On social media sites like Facebook, Twitter, and Yelp, there are various reviews and opinions. Scores are normally provided on a range of 1 to 5 stars. Assessment of opinions through textual information analysis has shown an important impact in analytic research because this offers useful options to emotions mining. Review is an evaluation of a product or service by someone who has used the product or service or has experience with it. The ranking of any e commerce site is heavily influenced by the opinions of its users. The purpose of this paper is to explain how a Machine Learning (ML) set of rules works on Yelp's database to evaluate, anticipate, and advocate brands. With the sentimental analysis algorithm, we analyzed Support Vector Machines, K- Nearest Neighbor, Multilayer Perceptron classifiers, Naive Bayes, , Decision Tree and Random Forest. The best result of the multi-layer perceptron classifier is 93.40 percent.

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Machine Learning, Sentimental Analysis, Opinion Mining, Natural Language Processing, Review rating prediction

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 Abstract

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Capsaicinoids, chillies, ointment, pepper spray, dermal patch.

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This project introduces a framework for appropriately adapting and adjusting machine learning (ML) techniques used to construct electrocardiogram (ECG)-based biometric authentication schemes. It can help define the boundaries of required datasets and get training data with good quality. Use case analysis is adopted to determine the boundaries of datasets. Based on various application scenarios on ECG-based authentication, three different use cases are developed. With more qualified training data given to corresponding machine learning schemes, the precision on ML-based ECG biometric authentication mechanisms are increased in consequence. The ECG time slicing technique with the R-peak anchoring is utilized in this framework to acquire ML training data with good quality. In the proposed framework four new measure metrics are introduced to evaluate the quality of the ML training and testing data. In addition, a MATLAB toolbox, containing all proposed mechanisms, metrics, and sample data with demonstrations using various ML techniques, is developed. For developing ML-based ECG biometric authentication, the proposed framework can guide researchers to prepare the proper ML setups and the ML training datasets along with three identified user case scenarios.

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Authentication, ECG Time Slicing, ECG Biometric Authentication, Machine Learning, R-peak Anchoring.

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Sign language is a somewhat complex language for normal people as they are no longer aware. Therefore, this can be quite difficult when a person is trying to talk to someone with physical disabilities such as the mute and the deaf. So imagine a technique that will allow you to recognize sign language. without knowing the actual language. This can help people recognize those who are facing physical challenges, a set of rules that uses image processing to detect how the hands are aligned, where this alignment is diagnosed from predefined data sets that we create and the textual content is diagnosed and then immediately displayed on the screen. it will make them less difficult to see.

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Deep Learning, Sign Language, Convolution Nueral Network

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As we are known that Panzara river is most popular holy river in India, Because of the dhule a big city is developed on bank of panzara river. But Now a Days, the pollution in water of panzara river is increasing day by day due to puja waste thrown in the river sewage is directly enters to river at some places. Hence there is need to analysis of the river water and compare with the standards of the BIS, CPCB & MPCB. The Physico-Chemical Analysis of water determines the quality of water of Panzara River at various stations in three seasons. It will gives us the results in terms of Temperature, pH, dissolved Oxygen (DO), Total Suspended Solids (TSS), Total Dissolved Solids (TDS), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD) of the river water. Kipping this in view, the Physico-Chemical Properties of Panzara River at various stations of Dhule region are studying.

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Analysis, Quality, Pollution, Standard, Properties, Biochemical.

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Street vendors are an important feature of global urban economies. They are the integral part of informal sector, which is the backbone of the Indian economy, who aims at providing quick access to a diverse range of goods and services in public locations. The present study was done in the streets of Madikeri town where the street vendors sell their commodities. The objective of the present study is to examine the impact of Covid 19 on the livelihoods of street vendors during phase 2. The data was collected by structured interview schedule. The recent COVID 19 outbreak has disrupted the activity of most street vendors. The present study aims to focus on the impact of national and state wide lockdowns on the street vendors, and effects on their livelihoods. Study reveals that 94.5% respondents were highly impacted by the pandemic during phase 2 lockdowns.

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- Covid 19, Global, Livelihood, Lockdown, Pandemic, Street Vendors.

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The entire world has been severely affected due to the outbreak of COVID-19 in the year 2020 and education sector was the most affected one due to lack of physical interaction between teachers and students. This has made learning very challenging in undergraduate programs. The colleges chosen for the study have introduced innovative strategies to make learning more interesting and effective. In the present study, an attempt has been made to analyze the effectiveness of online learning on the students of under graduate programs. The information for the study was collected from the students of both private and government colleges of Dakshina Kannada district. The findings of the study revealed that students are satisfied with the teaching through online mode during COVID-19 as there was no other alternative available for teaching-learning process. It was also observed that gender and place of stay of the students had an imperative impact on the effectiveness of online learning as well as satisfaction level of the students of undergraduate programs.

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COVID-19, Effectiveness and Online learning, Gender based learning, Performance, Pandemic

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Antioxidant, oxidative stress, phenols flavonoids FRAP, DPPH

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Restaurants generate massive amounts of data, which, when utilized properly, may be a treasure trove for a restaurant's success. The next question is what technologies restaurants can use to collect and organize this data so that it can be examined and used to make decisions. Apart from the obvious choices of Python, R, Excel, and Tableau. We saw that numerous approaches and algorithms are used to efficiently solve problems in the field of computer science; we speculated that these techniques and algorithms could be utilized to solve problems in a different field, such as the restaurant industry. Although restaurant data analytics aren't a miracle solution for increasing sales overnight, they can help. Making a lucrative business decision can also be done using a variety of strategies and algorithms.

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Restaurant data analysis, Caching, Pre-emptive SJF, Resource Allocation Graph.

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Narrative Techniques, Fiction, Point of View, Theme, Character, Setting

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Raspberry pi3, GSM. GPS, SD card, Pi camera. L293d motor driver, DC motor.Apr33a3 voice module, LCD display. .

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