Volume 10 | Issue 3 |

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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burnout , gairr-siddhi aur karyasantushti

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ABSTRACT Covid 19 pandemic has affected the global economy and service sector in India. It has hit almost every industry and business of the economy in every corner of India. India's world real estate sector ranks second in generating employment and contributing to about five percent of GDP. As a result of covid-19, the new housing supply decreased, and the revenue declined significantly. It affected the real estate industry and our nation equally. The purpose of the current study is to assess the impact of covid-19 on the service sector of the real estate industry in India. From 2021 onwards, the pandemic may affect buyers' preferences regarding the choice of real estate with multiple layouts with more high safeness, hygiene, and captive amenities may find their thanks to more takers. In terms of economic land, satellite headquarters in non-conventional micro-markets, i.e., beyond the Central Business Districts (CBDs), will be absorbed quickly and effectively. This paper mainly focuses on the real estate sector and how much the outbreak of covid-19 influenced the real estate sector in India. It also discussed the strategies and responses taken by the real estate sector to sustain the Indian economy.

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Covid-19; Service Sector; Real Estate Sector; India

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The intellectual computing of an effective human-computer interaction (HCI) or human alternative and augmentative communication (HAAC) is vital in our lives in today's technological environment. One of the most essential approaches for developing a gesture-based interface system for HCI or HAAC applications is hand gesture recognition. As a result, in order to create an advanced hand gesture recognition system with successful applications, it is required to establish an appropriate gesture recognition technique. Human activity and gesture detection are crucial components of the rapidly expanding area of ambient intelligence, which includes applications such as robots, smart homes, assistive systems, virtual reality, and so on. We proposed a method for recognizing hand movements using surface electromyography based on an ANN . The CapgMyo dataset based on the Myo wristband (an eight-channel sEMG device) is utilized to assess participants' forearm sEMG signals in our technique. The original sEMG signal is preprocessed to remove noise and detect muscle activity areas, then signals are subjected to time and frequency based domain feature extraction. We used an ANN classification model to predict various gesture output classes for categorization. Finally, we put the suggested model to the test to see if it could recognize these movements, and it did so with an accuracy of 87.32 percent.

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In the Buchwald-Hartwig amination, benzophenone imine is a valuable ammonia analogue and a significant precursor for the synthesizing of N-protected primary amines. The traditional synthesis of benzophenone imine, on the other hand, necessitates the use of stoichiometric concentrations of metal reagents or high-pressure conditions. To improve the prospective applicability of benzophenone imine, researcher present a simple method for producing it. The reaction was performed by adding benzonitrile in phenyl-magnesium bromide solution, by refluxing it for about 12 hours. Finally, methanol (anhydrous) has been added that results in liquid form of prepared compound. The TLC of finally yielded compound was done for its efficacy.

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Benzophenone imine, Benzonitrile, Grignard reagent, TLC.

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The freewill theories as well as our own common understanding leads us to believe that rationality is very important to freewill and reason guides us to be free in choosing our actions. However, several recent theories in the feild of Philosophy of action and moral philosophy have suggested such analysis of human actions that the role of either rationality or freewill and sometimes even both is lost completely. In the present world of artificial intelligence (AI) and a mechanistic interpretation of everything that is going around the world, it is important to locate the presence of the concepts pf rationality and freewill in understanding the concept of action as against events or occurrences. The present paper aims to analyse these two important concepts in philosophy and understand the relation between the two.

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Rationality, Freewill, Actions, Responsibility, Determinism,

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Teaching of English as a communication skill and its effectiveness and their need for learning this foreign language in secondary school

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Communication, Verbal and non-verbal

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In the semblance of development, the urban landscape has changed all across India. Promoting infrastructure for attracting multinational companies on one hand and Beautification of the cities on the other hand has not only made a few businesses aggrandised, but displaced and affected a large number of families in the recent times. The case in point in this research is the Multi Modal Transport System (MMTS) Project which has displaced many families in and around the twin cities of Hyderabad and Secunderabad, the urban slums though which their pillars were constructed. In this research, the trauma experienced by the families who were displaced from their homes and resettled in a new environment and how they coped with the traumatic experiences were addressed. Indeed the families experienced a variety of traumatic experiences and did cope with them in their own way. Implications are drawn for sustainable development of such families who are not only displaced they were affected by such displacement in the form of losing out on their livelihood.

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Urban development, Slums, Trauma, Coping Mechanism, Sustainable urban development

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Creative Commons Attribution 4.0 and The Open Definition

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Body shaming increases the personal insecurities of individuals as it highlights the weaknesses, especially when it happens in public setting and this may be the greatest fear as it brings out negative emotions. Objectives of the study were to identify the extent of body shaming among students of health professional education and to create awareness among students of health professional educational institutions on harmful effects of body shaming. The study was conducted among 57 randomly selected nursing and Allied health sciences students of an institute, affiliated to the Kerala University of Health Sciences. Present study, the participants who experienced body shaming felt sad, anger, depression and even felt to rebuke the sadist who had done body shaming direct to the need for further studies and implement measures to protect the social integrity and psychological well-being of those exposed to shaming. 35.7% were careless about body shaming, 33.9% were not worried, 16.1% were worried, 8.9% resort to medical help and treatment and 5.6% rebuke the person who humiliate or a sadist. 71.4% felt that they have no issues on physique still experienced body shaming. While expressing the feelings about body shaming, 26.8% had expressed being sad, 30.4% expressed anger, 14.3% were depressed and 28.6% were not able to say their feelings on body shaming. This study had unveiled the need for initiating awareness programmes for professional students to curtail the harmful effects of body shaming and to prevent the untoward physical and mental health issues of the young generation

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Body shaming, negative emotions, individual insecurities

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Creative Commons Attribution 4.0 and The Open Definition

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The major reason for minimizing crop productivity is various diseases in plants. To eliminate the disease-induced losses in plants during growth as well as to increase crop productivity, former disease detection and prevention on the crop are the most challenging factors. Thus, it is a suitable decision that can be taken by the farmers or villagers to avoid further losses. The project works on the technique of image processing which identifies the various diseases in plants. Here we use an efficient convolutional neural network algorithm (CNN) algorithm which can detect the type of diseases in various leaves. Our proposed paper includes implementation steps like datasets gathering, training, segmentation, feature extraction, testing, classification, using CNN to classify the leaves which are diseased or healthy based on data. This work implemented in giving the input leaf in real-time from the source of Google or dataset is trained under the system helps in disease detection and represents remedies for overcoming the deficiency. After the validation step, the project provides an accuracy of 99.5%.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

image processing, feature extraction, classification, detection, CNN

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Creative Commons Attribution 4.0 and The Open Definition