Volume 8 | Issue 7

 Abstract

The situation in India due to COVID-19 is forcing entrepreneurs and business leaders to innovate and adapt like never before. The total shutdown of an economy could be worse than a global recession because it can completely wipe out small and medium scaled businesses. Public health has taken a considerable impact with the rising number of cases in India, many of which are yet to be detected through testing. The research methodology chosen is secondary research. There has been a detailed study of credible sources from the internet and the crux of the matter has been put together with learnings to bring more clarity to the situation amid the lockdown. During this study, various unforeseen factors which have impacted these three areas have also been revealed. The study has shown that even though the current systems in place lack the ability to handle public emergencies like the present pandemic completely, we have innovative solutions which are being implemented by the government, business leaders and the public. Overall, the study concludes with a few suggestive measures which can be implemented throughout India to make the conditions better.

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Recession, Pandemic, Innovate Solutions

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Investments are an interesting area of personal finance; investment is to make your money work when you are not working but to master this art it requires for an individual to be aware of certain basic concepts of personal finance, such as savings, time of investment, avenues for investments, etc. these concepts are influenced by various other parameters such as risk appetite, income, awareness, etc., in India mutual funds as an investment option have been gaining importance of late, investors are slowly moving away from traditional investment avenues and moving towards new and innovative financial instruments, but however the roadblock here is that many investors are caught unaware of the various investment avenues available. This study aims to find out the level of awareness of mutual funds among academicians and suggestions to increase the same.

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Mutual Fund, Awareness, Investment avenues

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Violence against women and girls is a grave violation of human rights. Its long-term consequences ranges from multiple physical, sexual and mental consequences for women and girls including death. Violence against women not only affects the women general well-being but also affects their families, communities and the country at large. Laws have been enacted against domestic violence, sexual assault and other forms of violence in many countries but challenges remain in how these laws have been implemented till now. But result shows that not enough is done to prevent violence and when it does occur, it often goes unreported. From the findings of this study, it is clear that safety of women will remain a concern and will require a prolonged preventive strategy on a positive note. Some of the legislatures, policies and development measures initiated by the previous as well as present Government of India will transform society and strengthen transparency and may possibly bring down the crime rates to zero.

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Dowry Death, Female Foeticide and Infanticide, Domestic Violence

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To begin with, the term corpus stylistics is one branch of stylistics that combines methods and principles from both corpus linguistics and literary stylistics .It brings the methods of corpus linguistics to the practice of stylistics and the study of literary texts. More particularly, it refers to the statistical study of style, i.e. study of the relative frequency of elements in the text. This paper will define and differentiate between corpus stylistics and corpus linguistics. In fact, stylistics claims that it provides linguistic substantiation for interpretation of literary texts. But as corpus analysis is par excellence a means of exposing textual characteristics in accurate detail, it seems logical to assume that it must be interrelated to the stylistic project. Significantly, corpus stylistics is applicable in capturing the essence of a particular author, studying the frequency of lexical elements, author attribution, interpretative stylistics and language learning. This paper explicates the way in which corpus stylistics is applied in research. It extensively will examine its value and contribution in the area of stylistics. The main contention of this paper is to delineate corpus stylistics methodology and its applications in language learning, corpus linguistics and literary studies.

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Corpus Linguistics, Corpus Stylistics, Corpora, Stylistics, Language Learning

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Present work is dealt with the technique; how Mahalanobis Distance can be applied to analyze achievement related issues. The problem addressing the group achievement in mathematics, Physical Science and Life Science for two groups of students viz. seventh grade and eighth grade for three types of schools. Mahalanobis Distance is considered to test the dynamical nature of achievement of two groups of learner in three subjects. It is found that for most of the cases distances are significant. It represents the nature of the achievement for the group of subjects between different set of students differs significantly.

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Mahalanobis Distance, Mathematics, Physical Science, Life Science, Seventh Grade, Eighth Grade, Achievement Analysis, Formative and Summative Evaluation.

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Purpose: The purpose of the study is to know the alteration required in the field of higher education to cope up with the present situation of SARS Covid -19 pandemic. Approach: Since it is the theoretical research paper, researcher reviewed and analyzed the authentic articles published related to SAAR covid-19 virus to study its nature and behavior in order to contribute theoretical foundation of this study and also to summarize the result. Finding and Conclusion: 1)Though SARS covid-19 has made hard hit to the education sector, but it will definitely call for change in system which in longer run turn into boon or will benefit the system as a whole. 2.Higher education system need to be more of practical oriented then the theoretical to make younger generation self- reliant, which will also help in bridging the gap between education system and community need.

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Higher education,

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There is drastic increase in needs of networking and data sharing in today�s world. Such globalization of increased information technology and development there exists need of network security. Firewalls may provide some level of security but they never alert administrator for upcoming attacks. In order to find such abnormal behavior of network packets there is need of reliable detection system for improvement of efficiency and accuracy. As in today�s developing network environment there is threat of new type of attacks daily in the network. So, the network administration system is also needed to be updated regularly for up gradation of security level. One of the network packet monitoring system is Intrusion detection systems (IDS).There are many techniques in the literature for developing these defense systems. However, it is also important to examine the improvement of the datasets used to train and test these security systems. Enhanced datasets extend the detection capabilities of offline and online intrusion detection models. Standard datasets such as KDD 99 and NSL-KDD are obsolete and do not contain data on current attacks such as denial of service. Therefore, they are not suitable for evaluation. This article presents an in-depth analysis of IDS records and presents the challenges of IDS. This article also provides an overview of the deep learning approach that can be used to develop a better network intrusion detection system.

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Intrusion Detection, Security System, Deep learning, Attack

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Even though the structures are designed for seismic resistance, the structures may or may not perform to the extent that they are designed for. Increasing height and slenderness has changed the view from static vertical loads to lateral dynamic loads generated by earthquakes and wind. Hence the impact of earthquake or wind loads acting on the structures become an important part of the design. The study has been done for different zones and different soils as specified in IS 1893 on case studies. Shear wall and steel bracing systems are most effective means to adopt to add more stiffness in frames. Different kinds of lateral load resisting structures available like moment resisting structures, bracing systems and shear walls have been studied. Usage of these systems in the structure are different for given site conditions and location since the parameters are changed based on parameters. In multi-storied structures the lateral load consists of both the seismic loads as well as wind loads. At varying multiple heights the factors like story displacement, story drifts and base shear are changed based on conditions. Implications of the cost is studied using a dual configuration of the structural systems such as shear wall and bracing provided for seismic resistance.

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Bracing, Shear wall, Storey drift, Base shear, Seismic analysis, lateral load systems

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The work is aimed at the study of the effect of vibration characteristics of aluminum alloys of different compositions. The modeling and analysis will be carried out using ANSYS software. A modal analysis will be carried out to understand the vibration behavior i.e., natural frequency and mode shapes, of the material considered. The mode shapes and natural frequency play an important role in the design of dynamic machines. The harmonic analysis will be done to determine frequency characteristics.

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Finite Element Analysis (FEA), ANSYS, Vibration Behavior, Harmonic Analysis.

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Tripura - At a Glance of Naval and Maritime Historical Concern Dr.Nirmal Bhadra Associate Professor Swami Vivekananda Mahavidyalaya Mohanpur, Tripura, India Contact-No-9862973971 Email- nirmalbhadra70@gmail.com This paper studies about the naval expeditions, migration, trade and commerce of the North Eastern state of Tripura in connection with the Maritime history of the state from the extreme part of the 14th century to the British rule in India. It also attempts to make a focused study on the consequences of the influx of naval expeditions made by the kings of Tripura as well as by the colonial imperialism. In present day talking about naval and maritime activities with regards to the state is legendary as there is no continuity with any waterway and sea route. The Bay of Bengal is about 60 to 80 kilometers away from the extreme south point of the state. However, Tripura is a state of great antiquity and chequered history in this regard. It is really a difficult job to discuss the maritime history of Tripura throughout the ages because of the great scarcity of data and scholars� attention. Now present work aims at unraveling the myth.

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Tripura, Chittagong, Maritime, Naval, Trade, Commerce, Migration, Bengal

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Hospitals play a vital role in delivering healthcare services to communities. Hospitals are unique facilities that rely on numerous specialized and sometime complex systems to deliver healthcare services to patients. Indian hospitals are run by the private sector as well as the government sector, although there is lack of cost information from the hospitals. Costs of operations and maintenance (O&M) are important part of the Life cycle costs. This research describes framework for development of model for predicting Annual costs of Operations and Maintenance Cost for Hospital Building. It is essential for managers, to recognizing the O&M cost of Hospitals. The framework would be beneficial for the hospital administrators to have an understanding of their cost structures, control over their expenditure in the area of O&M expenses and also help in efficient functioning of the facilities. With this process of developing a cost prediction model, the predictions and the budgeting for the upcoming years during the operational period of hospital will become easier. The framework is applied on various Private Hospitals in India to check the suitability and applicability of the study.

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Maintenance, Operations, Cost Modelling, Hospital Building

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Sleep is essential for good health and recovery from illness. Any illness that causes pain, physical discomfort, and or depression can result in sleep disturbances. These are several measures like Massage therapy, Music therapy, pharmacotherapy, bright light therapy and yogas etc. to treat sleeplessness of which therapeutic back massage is considered to be effective methods to induce sleep. Aim: to assess the effectiveness of therapeutic back massage on quality of sleep among hospitalized patient. Material and methods: A study was conducted using Non -randomized control group design in with 40 samples, were exposure to massage therapy. However due to sickness and environment in hospital setting they were not able to enjoy quality sleep. The massage therapy was helpful in inducing sleep and improving the quality of sleep. The findings of the study revealed that therapeutic back massage helps in improving the quality of sleep among hospitalized patients.

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Keywords: Massage therapy, Quality of sleep

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Food safety is top priority for a lot of industries right now, maintaining food security has become difficult when it comes to customer demand. The food put on the market has to be of good quality and safe for use, as well as not be a source of any infection. For this reason, securing food safety and quality is a matter of the responsibility of food producers and governments. During the process of distributing food products it will go through all stages of the supply chain, i. e. all processes from farm to the consumers? tables, is to achieve full supervision of food safety in the modern world, because the journey leading from food production to the consumer is very time-and space consuming. There are many dangers of food during the transport, food storage, or food preparation. In order to enable food quality and sanitary safety of food products, companies have to follow rules and regulation, standards, and norms at every stage of the supply chain. The aim of this paper is to show how food safety is important and the ways in which industry ensures a temperature level that different kinds of food products require.

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Foods, Supply chain, Farmers

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ICDS, Malnutrition, Anganwadi Centres (AWCs), Monitoring, Validation, Evaluation

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At the start of December 2019, the world started seeing the outspread of the novel coronavirus (COVID-19) from Wuhan, China to at least 210 countries and territories. The number of new infections around the world has been steadily increasing and current infected cases presently stand at 2.2 million with more than 100,000 deaths. This virus outbreak has affected whole populations and in particular, the cancer care delivery system. The patients those are in suffering of cancer are more getting hit by this virus because of their suppressive or weak immune system. Many strict steps have been initiated by central, state, municipal and provincial governments to detect the cases of infected patients, contact tracing, restrictions to commuting, quarantine to suspected cases, detection kit promotion, local guidance and providing information to public etc. In early stage, more attention is required by oncologist to detect the infected patients, as a stage of advance cancer is at high risk for unfavourable cases. Oncologist must confirm that the patients suffering from cancer must be at home during this pandemic. There is a paucity of information on COVID-19 spreading and its powerful effect on cancer patients and health professional. The management of the scientific guidance for cancer patients is very poor in outbreak of spreading coronavirus.

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COVID-19, pandemic, COVID-19 characteristic, cancer patients with COVID-19.

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India is the 5th largest economy but its expenditure on public health sector is very poor and unfortunately less than some underdeveloped countries. Indian pharmaceutical industry is highly dependent upon the Chinese companies for raw material of generic product. Recently Indian government has restricted export of various medicines to maintain the stock for domestic use and launched several schemes to accelerate the production of API�s in the country. The study is based on the published statistical data and attempted to analyse the challenges that have been faced by Indian pharmaceutical companies since long time and upcoming future opportunities.

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Active Pharmaceutical Ingredient (API�s), Public health sector, Statistical data, Pharmaceutical companies.

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Abstract Digital technologies are changing the ways teachers interact with students in the classroom. There is immense potential of ICT which can be grabbed by the teachers using ICT optimally and maximally in their class instruction and for their professional developments. An attitude is a preparation or readiness for response. Effectiveness of a teacher can be described as their success in helping students to learn. The present paper entitled as interaction effects of awareness of ICT, use of ICT and attitude towards ICT in terms of their influence on the teaching effectiveness among primary school teachers. Effects of high and low awareness of ICT, use of ICT and attitude towards ICT influence on teaching effectiveness of primary school teachers. Teachers can integrate ICT into teaching-learning process effectively if he developed various skills and competences like, creativity, flexibility, logistic skills, skill for project work, administrative and organizational skills and collaborating learning skill. Teachers should be concerned about learners� learning, their own professional development and keeping him/her self updated to have positive attitude and becoming technology competent.

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Key words : Awareness of ICT, Use of ICT, Attitude towards ICT, ICT, Teaching Effectiveness

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Safety app is a machine learning-based android application that is designed for notifying users of the potential threat around them. It is an SOS application that sends alerts to emergency contacts along with the location using Google map. The user gets the notification when their location is predicted by the algorithm to be prone to danger. This application works on factual data and not on objective data received by the users. Another feature of the application includes providing the location to the nearest safe places. The application has easy to use GUI hence efficient for users of all age groups. The main advantage of the application is the alert sent to the user, as during the time of distress the user won�t have to find the application in order to send SOS rather the app does that for the user only on one click on the alert message.

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Machine learning, Data Science, Android app Development, Crime Prediction

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In recent times, one of the most enduring challenges that still affect college students is the huge difficulty in controlling the way they spend, and worldwide, very minute research has been done about this. The current level of the problem on the spending front is again, not absolutely figured and sorted out. Thus, this study has focused on determining the spending behaviour of 138 university students in Delhi & Mumbai using descriptive research design. A structured questionnaire was used for data collection. Sampling Method used was non-probability sampling method, under which convenience sampling method was used. respondents were found to be spending tightly when it came to shopping and travelling and academic purposes and loosely when it came to entertainment and lifestyle. It can be concluded that gender, being outstation or being based in the city were the key determinants that made the difference on spending behaviour.

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student budgeting, savings behaviour, spending pattern, students, monthly allowance

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AI (ML) has advanced from the chance of PCs figuring out how to mess around and part of Mathematics (Statistics) that only occasionally viewed as computational methodologies, to a free examination discipline. Yet in addition has created different calculations that are consistently utilized for text understanding, design acknowledgment, and a numerous other business purposes. This paper centers around clarifying the idea and advancement of Machine Learning, a portion of the well-known Machine Learning calculations.

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Machine Learning, Algorithm, Data

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