In order to build relationships with people and behave humanely, empathy is necessary. A person in good psychological health feels good about themselves and has optimism for the future. Humanitarian aid workers, physicians, therapists, journalists, and also others whose professions require them as to be sensitive to the distress of others are examples of persons with empathy. On the other hand, they can eventually feel the suffering of those they help or document. Because of this "emotional residue," people could burn out, shut down, and become less willing or able to contribute. This suggests that there may be a connection between psychological health and empathy. Prior studies on the relationship between empathy and psychological health exclusively looked at nurses, doctors, and designers. Therefore, as primary school teachers are thought to be highly empathic by nature, the relationship between psychological well-being and empathy was the main focus of this current work. This research's findings demonstrated a positive relationship between teachers' psychological health and empathy, with greater psychological health being associated with higher levels of empathy. The study's findings also showed that there is no relationship between the age of primary school teachers and their level of empathy.

In this study we are mainly focused on predicting the Remaining useful life (RUL) of a Turbofan aircraft engine and the accuracy of the aircraft engine – Accuracy tells us the Performance of the engine. To ensure flight safety and reduce the cost of maintenance during aircraft engine Performance, a prognostics and health management scheme that focuses on flaw diagnosis, health assessment, and remaining life prediction is introduced to solve the problem. So, we are going to determine these parameters using Machine Learning with the help of Regression Analysis approach. We are going to use several Regression approaches and compare the Remaining Useful life and the accuracy with each of the approach and comment on the best Regression approach being used. We are going to work on Anaconda and Jupyter Notebook platform where we will implement the source code in Python. Finally, we would have a RUL value that would assign the health score to that engine.

According to global cement magazine, each ton of cement produced releases about the same quantity of Co2. During the production of cement energy is consumed and consequently Co2 is emitted to the atmosphere. There is a need to understand the nature of energy utilization in embodied energy in buildings and maintenance, since developing countries like India have limited energy resources vis-a-vis the large population. Leaving the waste materials to the environment directly can cause environmental problem. Hence the reuse of waste material has been emphasized. Waste can be used to produce new products. Green concrete concept of thinking environment into concrete considering every aspect from raw materials manufacture over mixture design ,construction, and service life. Green concrete is very often also cheap to produce ,because for example ,waste products are used as a partial substitute for cement ,charges for the disposal of waste are avoided energy consumption in production is lower ,and durability is greater. The advancement of concrete technology can reduce the consumption of natural resources and energy sources and lessen the burden of pollutants on the environment . To overcome the above, first of all selecting the right material from natural resources and energy sources and lessen the burden of pollutants on the environment in our surrounding area to be thoroughly studied and collected. For this study, we have taken the large amount of “marble dust” generated in natural stone processing plants which have an important impact on the environment and humans around our nearby districts . This study is to investigate the strength of concrete using the “marble dust” as partial replacement of cement. The specimens are casted with marble dust as partial replacement of cement varying from 0% to 25%.The specimens are subjected to cube test , cylinder test, flexural test, pull out test and durability test . The strength and characteristics shall have been studied with the conventional concrete .

In India, farming is the most common occupation. Despite this, many who work in agriculture today are from the lowest class and live in extreme poverty. The modern processes and automated machinery that are propelling the globe forward are lagging in the farming sector. Farming poverty is caused by either a lack of awareness of improved facilities or their unavailability. Even after all of the farmers' hard work and productivity, the farmers are defrauded by local agents in today's market, resulting in poverty. The proposed application 'Kisan E-Marketing' would automate everything and provide the greatest solution to all of the challenges that farmers face. At Kisan EMarket, farmers will be able to sell their produce. Farmers would be able to sell their products across the country via Kisan E-Market if they have a basic understanding of how to utilise the website. The site will assist farmers in all aspects, including current market rates for various products, total sales and earned profit for sold products, access to new farming techniques through kisanmarketing, and a centralised approach to viewing various government agriculture schemes, including farming compensation schemes. The SMS function supplied by the system can be used to obtain essential information about markets and other products.

At the point when plants and harvests are experiencing vermin it influences the rural creation of the country. Normally, ranchers or specialists notice the plants with eye for location and ID of infection. Yet, this strategy is regularly time handling, costly and mistaken. Programmed location utilizing picture handling methods give quick and exact outcomes. This paper cares with a substitution way to deal with the advancement of infection acknowledgment model, upheld leaf picture arrangement, by the usage of profound convolutional networks. Propels in PC vision present an opportunity to grow and improve the act of exact plant security and broaden the market of PC vision applications inside the field of accuracy farming. This paper (project) likewise points the amateurish nursery workers and specialists who track down trouble to seek after their advantage effectively. This procedure of plant sickness location will be of incredible assistance to those individuals and they find out about the infection caused , its depiction, counteraction and therapy of it. A totally exceptional approach to preparing and subsequently the technique involved work with a quick and direct framework execution by and by. All fundamental advances needed for carrying out this sickness acknowledgment model are completely depicted all through the paper, beginning from social affair pictures to make an information base, surveyed by horticultural specialists, a profound learning system to play out the profound CNN preparing. This technique paper might be another methodology in distinguishing plant infections utilizing the profound convolutional neural organization prepared and finetuned to suit precisely to the information base of a plant's leaves that was accumulated freely for assorted plant illnesses. The development and curiosity of the created model abide its effortlessness; solid leaves and foundation pictures are in accordance with different classes, empowering the model to recognize sick leaves and sound ones or from the climate by utilizing CNN. Plants are the wellspring of food on the planet. Contaminations and sicknesses in plants are thusly a major danger, while the first normal finding is essentially performed by inspecting the plant body for the presence of visual manifestations [1]. As an option in contrast to the customarily tedious cycle, different exploration works intend to track down plausible methodologies towards securing plants. Lately, development in innovation has caused a few options in contrast to customary laborious techniques [2]. Profound learning methods are extremely effective in picture grouping issues. Catchphrases - Plant infection recognition, Convolutional neural organization ,Tensor Flow, API, ML Models, Deep Learning in horticulture , Image handling , Image Acquisition , Segmentation , Feature extraction , order .

In this paper context of Data mining entails the discovery of unexpected but reusable knowledge from large unorganized datasets. In recentyears, organizations in different fields have been required to collaborate to create new value. However, datamining among and within organizations has raised privacy and confidentiality concerns. In our proposal, parties can not contribute tosome thing other than the number of records, as well as the candidate item set. This study focuses on the private-set intersection as a substitute of the scalar product and shows that this intersection enablesorganizations to execute ARM on vertically divided data, allowing elastic information contribution while preserving privacy without escalating communication and totalling costs. Besides we spotlight on thestate ment that the number of protocol rounds among parties can be reduced and present three use casesin which the proposed scheme works more effectively than the alive schemes..