International Research Journal on Advanced Science Hub

Agriculture is a process of growing crops, soil cultivating, it provides food and fabric and helps for growing country's economy. In India more than 50% of people directly and indirectly depend on the agriculture. For developing agriculture, main interceptions are weather hazards and the crop diseases. Weather hazards cannot be prevented, but the loss that occurs due to crop diseases can be reduced. This can be achieved by identifying the crop disease as early as possible and it is also important to identify the type of crop diseases for preventing the spreading of the disease. In India, we have 160 million hectares of arable land and it is second largest country after the United States. Identifying the crop diseases by human action manually is practically difficult and it is hard to identify the type of crop diseases. So, many researchers involved in to identify the crop diseases based on the image processing for helping the real-time gadgets which can be used to identify the crop disease and its types. This survey focuses on the investigation on the different surveys carried out and work related to the crop disease identification and detection based on the image processing. Computer vision and image processing-based work will help to detect of crop diseases along with many practical based applications like drones, IoT based devices etc. In recent studies most of the works are depending on the machine learning and deep learning-based image processing on various studies of predictions. After analyzing the related work on crop detection based on image processing, most of the works achieved better results based on deep learning algorithms compared to the machine learning algorithms.

This paper is about a single-phase multi-level inverter that uses DC source, multiple Monocrystalline photovoltaic cells to work. Initially, the simulation will be carried out using a Node MCU and an ATmega 328P to produce the low voltage control signals needed to operate the MOSFET Switching devices. Furthermore, the control signals will be activated by a NodeMCU, allowing the Inverter parameters and control signals to be visualized on the IoT Platform by projecting data to the cloud via ESP8266, allowing remote monitoring of the parameters following the Covid-19 pandemic. With Communication protocols and the use of an open-source framework (ThingsBoard), the user will be able to analyze & track; Study Multi-Level Inverter outputs in real time, allowing for improved performance and reduced E-Waste production.

Thin films of tin oxides were successfully synthesized by using Tin(II)chloride dihydrate and ethanol as precursors. This paper discuss about the optical parameters of the thin films of tin oxide post annealed at 200⁰C. UV- Vis spectroscopy study reveals that the prepared tin oxide thin film shows high transparency (87.5%) and low absorbance and low reflectance in the region of visible spectrum. The band gap of the tin oxide thin film was obtained as 3.59 eV. The average value of refractive index of  the thin films of tin oxide was 1.909. The real and imaginary values of dielectric constants were 7.1 ans 0.33 respectively.

This article enrolls the development and review of the 6G(6th Generation) wireless communication technology which is expected in the 2030s and is the first of its kind to review 6G concepts in IoT (Internet of Things). Wireless communication technology will make communication between entities and these technologies are separated as different generations. 6G wireless communication technology will be an application of IoT by bringing the world closer. 6G network implementation will be a promising and developing field in wireless communication technology. In this paper, we discuss how the 6th Generation of wireless communication technologies overcomes the existing problems faced by the previous generation (5G). We have a general architecture for wireless communication technology. By adding some new key concepts (Artificial Intelligence, optical wireless communication, terahertz frequency, and wireless power transfer) to this architecture we can produce a new generation (6G) of wireless technology. This paper also describes the advantages and challenges which can be faced by the 6th generation of wireless communication. A few of the key points trends behind the growth of the 6G wireless communications are green communication, network traffic, intelligent network, localization, new spectrums, high reliability, low latency, high data bit rate, network availability. The 6G will provide a better communication system in the future by ensuring future trends.

This paper tries to attempt a review on deep neural network (DNN) method in music source separation (MSS) tools with emphasis to Spleeter by Deezer, an enhanced deep learning model for music sourceseparation. It is a set of pre-trainedmodel written in python using the Tensorflow machine learning library used for musicsource separation. It was developed by Deezer, on the need to separate a given mixed music track to its constituentinstrumental or vocal tracks usually known as stems. Spleeter offers 3 pre-trainedmodels namely 2, 4, and 5 stemseparation models that are capable of separating a given mix into 2, 4, and 5 stems respectively, which can be used forvarious needs like remixing, up-mixing,music transcription, etc. This paper is the first of its kind to review on DNN methods in MSS.In this paper, we will learn about the purpose and useof Spleeter developed by Deezer as well as about the technical aspect behind this software product that includes areas like ArtificialIntelligence (AI), Machine Learning and Deep Learning, and further about Time-Frequency (TF) masking and U-NetConvolution Neural Network (CNN) which are the methodology and architecture employed in it respectively. From thereview, we learned that Spleeter by Deezer is one of the latest advancement in MSS problem that comparatively has one of the best signal to distortion ratio (SDR), signal to artifacts ratio (SAR), signal to interference ratio (SIR), and sourceimage to spatial distortion ratio (ISR) and produce a state of the art solution, and it has also paved a way togreater development in MSS problem in the future.

Going beyond the job role and exhibiting citizenship behaviour in the current pandemic is really a challenging task. One of the professions who, without getting disturbed and are rendering their services without any distractions are the bank employees.  Work life balance in generally is very important to lead a stress-free life. Usually for bank employees, due to the nature of job striking a balance between work and personal life will be an art. Irrespective of the job characteristics the proper balance between work and professional life generally makes an person to showcase discretionary behaviour which   called citizenship behaviour.  So, the present study was under taken to understand association between work-life integration and Citizenship behaviour of the  employees at the bank. The objectives of the study include to studyWorkplace conflicts with personal life ,individual life interference with work life , to examine the citizenship behaviour of the employees and finally find the association between work-life integration andOCB of bank employees. The scope is limited to the Hyderabad city. Primary data is collected thought standard scales from a convenient sample size of 112 bank employees and   SPSS is used to analyse the data.It was found out that working beyond hours and occupied with family related thoughts are major reasons for work life imbalance. When analysed the Citizenship behaviour of the employees, is evident that they exhibit in good amounts. Bank employees try to help each other and follow guidelines even if no one monitors them. There was also discovered that there is no impact of work life imbalance on OCB of  employees.

Working capital is significant because of the effects it has on profitability and value. The conventional relationship between the cash conversion cycle and firm profitability is that reducing the cash conversion cycle improves firm profitability. Shortening the cash conversion time, on the other hand, can hurt the firm's operations and reduce profitability. This may occur when a firm takes steps to shorten the inventory conversion time; when a firm reduces the receivable settlement period, a firm could lose its good credit customers; and when a firm lengthens the payable deferral period, a firm may damage its own credit credibility. Identifying optimum levels of inventory, receivables, and payables where net keeping and opportunity costs are reduced and recalculating the cash turnover time based on these optimal stages, on the other hand, gives more full and precise insights into the performance of working capital management. According to the findings, the chosen firms have a poor average return on asset and return on equity, as well as a slightly negative cash conversion time. After adjusting for heteroskedasticity of data to minimise the effects of outliers, regression results revealed that cash conversion cycle has a significantly positive association with both return on assets and equity, indicating that it is not always necessary that the lower the cash conversion cycle, the greater the profitability measured through return on assets and equity. If the company will sell the goods and recover the receivables before paying the payables, the case would be somewhat different.

Banking sector plays a serious role within the country’s economy. The Indian banking industry is one of the quickest growing industry in India. The Indian industry has witnessed radical changes and massive growth throughout the previous couple of years. “CAMEL” ratio is calculated so as to target money performance. The CAMEL stands for Capital adequacy, Asset quality, Management, Earnings and Liquidity. The present paper explains the performance of selected banks (HDFC bank and BOB). Last 5 years are taken for this study i.e., 01/04/2015 – 31/03/2020. The study is predicated on secondary information sources and for this purpose, relevant information is collected from the Annual Report of the individual banks for the above-named study period.

Profitability Ratio Analysis plays a vital role in corporate world, as it helps the investors to compute the returns earned out of the investments. Profitability Ratio Analysis is necessary for Adani Ports and Special Economic Zone Limited, as they are expanding their business throughout India and the shares of Adani Group also traded at highest cost in the share market. The Paper computes the Profitability Ratios Analysis on the data of Adani Ports and Special Economic Zone Limited which is sufficient to compare the return with its investment. The Data of Adani Ports and Special Economic Zone Limited was collected for past five years from its secondary source and analysed.  The Study helps to analyse the Profitability of the company and compare its return out of its performance with its previous years. It analyses the overall performance of the company which resulted in less profitability. Hence, we suggest to increase its revenue by expanding its business operation and by taking up new-revenue generating projects through diversification.

The Cost of Capital plays a significant role in capital budgeting decisions and is also used as a financial standard. The Weighted Average Cost of Capital (WACC) caters to the need to have a single rate, which helps to analyze and compare the cost of different sources of funds. It is important for all companies to understand the relationship between the cost of capital and its profitability to take proper care of the cost of capital to ensure a favorable financial situation in the company. The use of a statistical method such as correlation in understanding the relationship is systematic and scientific, which will provide better insight for future decision making. This paper undertakes to study the relationship between the cost of capital and profitability of Ports And Special Economic Zone Limited.

Finance is the science of money as it is the life blood of business. Financial performance analysis acts as a communicating language of the overall financial health.  It analyses the cause and effect of the profitability and liquidity of the business. Financial statements are prepared for the purpose of presenting a periodical review which has been widely used to represent the true statements of accounts. Ratio analysis is the widely used tool for financial analysis. Ratio analysis is the process of ascertaining the financial ratios that indicates the ongoing financial performance of a company. This study “Analysis Of Financial Performance Of Kokuyo Camlin Ltd., “is vital as only earning profit is not sufficient, a business should earn enough profit to fulfil its cost of capital and create various surplus to grow. This study helps to determine the liquidity and profitability of the firm. The study covers a period of five years i.e., from 2015-2016 to 2019-2020.

Financial performance analysis is a process of identifying the financial strength and weakness of the firm by properly establishing the relationship between the items of balance sheet and profit and loss account. This study aims to identify the financial strength and weakness of Kokuyo Camlin Ltd.; thus, it covers a period of five years from 2015-2016 to 2019-2020. However, a Solvency ratio is a performance metric that helps to examine a company’s financial health. On the other hand, a low ratio exposes potential financial hurdles in the future.

Diabetes is one of the chronic diseases rovering all over the world. It affects people in all ages. Even child by birth also getting affected by this disease. Already various machine learning algorithms were used to predict diabetes. This work compares two algorithms Enhanced Catboost with Linear Discriminant Analysis (ECB-LDA) and Dolphin Swarm Optimization with Radial Basis Neural Network (DSO-RBNN) which were used for diabetes prediction.  Also hospitals and other clinical centers are facing problem in handling large amount of data. To solve such problem and also do early prediction of diabetes, big data analytics is used. This work proves that the accuracy of DSO-RBNN is better than the ECB-LDA.

Corona virus disease or Covid-19 has become a global pandemic. It was first reported in Wuhan, china. The disease has crossed all borders across the world and today the whole world is suffering from the pandemic now. So when Covid-19 started shaking the world with immense spreading of its first wave and second wave, the whole population is completely dependent on the healthcare sector. Since the healthcare workers are part of the service sector, they had to support and take care of the patients by risking their lives. The stress taken by the healthcare workers is beyond the imagination of a layman and is greater than normal work stress. Covid-19 made its entry abruptly, putting a high level of stress on the medical community. There has never has been such a catastrophic pandemic that has occurred in last five decades. The hospital infrastructure was never ready for such a huge pandemic and its implications.  More patient load, high infectivity rate, increase in mortality rate, family getting infected, more serious infections, scarcity of medicines, anxiety of getting infected etc. all contributed to the increase in stress level of the healthcare workers. This study aims to understand the stress faced by the healthcare workers during the first and second wave of the pandemic and identifying the solutions to reduce stress and promote their mental health by listening to good music, having a good sleep, opening up to a counsellor, getting spiritual help etc., if a third wave occurs.

Conversational Artificial Intelligence has gained a lot of traction due to its ability to communicate with the user and the machine with automated texting and dialog flow based applications that allow computers and humans to communicate in a human-like manner. Hence leveraging this technology, it is able to help guide diabetic patients when they are suffering from diabetes or just to self assess and to make things easier for the people which will allow them to learn and follow a healthy diabetic diet. The usage of Conversational AI-bot will Identify and give answers and analyzes the queries asked that is available based on the text trained. It also allows us to automate book and assist the receptionist to book appointments without any errors This makes things easier and enabling a faster appointment service and  this bot helps people to be cautious and lead a healthy life. 

HR Analytics has been widely used in organisations for gathering and interpreting data which has made the management able to take wise decisions regarding their workforce, which constitutes the major part of decision making in the organisation. It is a set of statistical tools that enables an HR analyst to come out with imminent data regarding employees and thus take accurate decisions which support the objectives of top management. Analytics helps in analysing and forecasting data regarding key HR metrics in employee value and performance. The utilisation of data to determine ROI in the strategic decisions taken will help in the growth of business. There have been many papers which focus on the conceptual part and acceptance of HR analytics in firms. This paper stresses the basic facts on using HR analytics as a tool for effective workforce management in organisations and considers the opportunities and challenges on the extent of its utility. This study gives theoretical concepts alone based on secondary data collected from leading research papers and opinions of research scholars, company reviews and various blogs.

Cost of capital analysis is a key concept of computing the cost that is incurred in various sources of business finance individually and as a whole. In other words, it is a method for analyzing the cost incurred in debt, equity, and other forms of investment in the company. The main objective of the project is to study the cost of Adani Ports and Special Economic Zone Limited and to suggest a proper capital budgeting decision to reduce the company’s cost. In Adani Ports and Special Economic Zone Limited, the Cost of Capital Analysis aids to choose the best source of finance that suits the needs of the company based on the cost aspects.

India is basically an agrarian economy where the majority of the population depends on agriculture for income. But the significance of agriculture in the rural economy was in a lackluster mode since everyone started to depend on non-agricultural activities for earning their income. The second wave of COVID 19 has made 2021 worse and this time people in the rural area also have been affected, so the farmers. The COVID pandemic has dampened the spirits of marketing of agricultural products, especially for the rural farmers. So this study aims to know whether online marketing for agricultural products is feasible or not. Convenience sampling and descriptive research design was used for the study.Both primary and secondary data were used and primary data was collected using questionnaires. The study reveals that COVID19 made the market unreachable for farmers to sell their products likewise the customers can’t access the markets to buy the products. Most of the farmers and customers suggested that an online platform can make their operation even easier. 

The study exhibits to understand the cracks generation and propagation inside the material as a source of the identification. The research is based primarily on the assessment of deflection, tension, and fracture propagation in structures through digital image processing (DIP) and its correlation. The DIP is a non-destructive assessment technique to capture microstructure pictures and loading in various loading scenarios. In order to monitor features and assign their position to a defined coordinate system, photogrammetry concepts are applied. The generated displacement data represents the typical movement present concerning the initial location in the centre of the tiny sub-images employed in the analysis. Aerial or satellite photos collected before and after the earthquake may currently be analyzed in techniques to deduce co-seismic terrain malformations with sub-pixel correlation. Due to the intrinsic diversity of natural faults and deformations, the interpretation of this data is not straightforward. The study of the correlation with either program clearly shows the relative shifts, the friction interface, the rupture arrest on the border, and wing fractures. The observations of displacement collected are transformed into strains using non-local denoising algorithms. This work is the first step in combining the digital picture association approach with high-speed photography to record transient dynamic rupture events. For measuring surface movement and tension in concrete, the DIP technology and the MATLAB® Program tracking have been employed.

The construction of high-rise buildings all overthe world and India is overgrowing. Steel has more advantages in the modern world. Itprovidesan innovativeframe system, easy assembly, a high weight-to-weightratio,differentstrengths, and a more extensive section range. The high-rise structures are environmentally friendly, which iswhy steel is used in high-risebuildingsworldwide. So far, designers have only considered gravity when planning buildings. Earthquakes, wind, and lateral forces havebeen addedto the design. The challenge is to find the economic structure system of high-rise buildings in the Indian scenario. Thisdocument covers various structural steel systems: moment stabilization frame system, composite frame system, roof rack system with stabilizingbelt,shear wall frame system, frame tube system. When designing multi-storey buildings, truss systems, clusterpiping systems for high-rise buildings, lateral loads (wind or seismic loads) are mainly responsible for demolition, which usually determines structural systems for high-rise buildings. Tomake the drift asa minimum, the beams, and columns to beenlarged.In a building with a small number of floors,the lateral load rarely affects the increase in the building and the increase in size. Considering the live and dead loads, the component structureis an option for possible rearrangement of the structure. In other side load resistance systems under study, the side displacement in the torque frame is the highest. The lateral displacement ofthe double frame is the smallest, and the lateral displacement of the sliding wall system is slightly higher than that of the double system.

 
In 2020 there is outbreak of the pandemic COVID 19. Due to the pandemic most of the countries enforced full lockdown. During lockdown the mental health of the common people of all ages are affected. The study aims to investigate the factors which influence the mental health. Mental health is influenced by the various factors. In this research the artificial neural network is used to predict the factors influencing the mental health due to COVID 19 pandemic. Experimental result showed that artificial neural network not only has better accuracy up to 81.5% but also faster training process. Based on these results, the determinant factors of mental health among people are: frustration, fear, sudden change in daily life style, anxiety to perceive changes as a challenge.

Without the network model, node can’t communicate with each other. When a node sends data to any another node in that network either data flows directly or indirectly through number of different hops. Different layers are associated with the model having their objective and responsibility. In wireless sensor network (WSN), the nodes are communicated with their goals from time to time following the structure of the network, number of protocols working on different layers of the model. Here, our focus on the topology and routing protocols behaviour in WSN. Analysis on the act of routing protocol like DSDV, AOMDV, AODV and DSR over the different topologies like chain, grid and parking lot. And also considering the performance of responsive and unresponsive flow of the network. The results are analyzed depending upon the simulation metrics like throughput, delay, jitter, PDR (packet delivery ratio), packet drop. Simulations are done using NS2 and the graphs are plotted by using gnuplot.

In this research, vibration damping property and dry sliding wear resistance of tungsten carbide reinforced aluminium AA6061 composites were investigated. The fabrications of test specimen were carried out using stir casting method. Three samples were taken for study with percentage of reinforcements as 0%, 4% and 8% of tungsten carbide by volume fraction. The samples are cut and machined to cylindrical pin as per ASTM standard for pin-on-disc wear analysis. Another set of samples with rectangular cross section is used as beam for experimental modal analysis using Impact hammer test to study the damping factor and natural frequency. Based on the test results, it was found that there is minimum wear resistance in reinforced alloy when compared to unreinforced alloy and also reinforced alloy had improved coefficient of friction. From the impact hammer test, the result shows that reinforced alloy had high natural frequency and improved damping factor when compared with unreinforced alloy. The hard ceramic tungsten carbide particulate improves the resistance to wear as well as improved the damping behaviour. This research can be helpful in many industrial application, heavy machineries, automotive applications This material can be developed to use as machine base, chassis where wear resistance and vibration damping needs to predominantly monitored. 

Our everyday life starts with an electronic device with internet connectivity. Today every object of our lives is relying on internet and the powerful data capability which transforms the way we work and live. In this pandemic situation of COVID-19 every company/business/organizations/educational institution and many more are working only with the help of internet connectivity and new emerging technologies. Internet of Things (IoT) is one such technology that has gained as a popular research concept from recent years and it is playing a vital role in the pandemic situation of COVID-19 by incorporating technological, business and social scenarios. As there is an increase in the usage of IoT devices and more IoT ecosystems there by facing many challenges like technical, business, societal and legal. Among the all-Data Security is being the most prominent one. This article discusses different ways the data can be protected on IoT devices by which the enterprises can successfully ensure secure data on IoT devices.

Today, we are witnessing an immense digital transformation across the globe. Technology is accelerating innovations, agility, and business growth. Businesses are redefining their operations by incorporating types of technologies like Artificial Intelligence, Blockchain, Machine Learning and Cloud Computing. Education is one of the unattended segments which can be lifted with the help of technology adoption.  Higher Education institutions will accelerate the adoption of cloud-based technologies for Student Relationship Management (CRM), Learning Management Systems (LMS), Assessment Management, etc. The Covid-19 pandemic persuaded a rapid digitization and automation which enabled businesses and Education to be flexible even in a time of crisis.Many enterprises adopted disruptive technology and changed their business models to keepup with the changing pace.The impact created by the pandemic will not fade away and the digital shift remain forever. Moving with the imperfection will be difficult if companies or Education Institutions not adopting the new technology trends. This study through light on some of the trending technologies in 2021 that need to be follow and adopt with businesses and Education Institutions in the current pandemic senario. Advanced technology will continue to transform our lives and work by creating big opportunities for Education Institutions and industries worldwide. 

Quantum computing is a fantastic technology that has been evolved throughout time and is 100 trillion times quicker than a supercomputer. It is based on quantum theory, which can do calculations using probability theory and linear algebra. These two disciplines of research are involved in all sub-areas of Data Science and other contemporary technology domains, and can answer a wide range of complex problems which even the most powerful supercomputer cannot carry out. Instead of just 0's and 1's where the classical computers encipher the data or convert the information, it works on qubit that is, it can hold up to two bits which is called as Quantum superposition where it has two different states zero or one in which it can be defined and is also possible for it to exist in both, i.e. a superposition of the two states. Light based quantum computer outperforms the classical super computer by exceeding its performance speed. Quantum computing can solve known problems such as encryption and cyber security. Quantum computing has the ability to process quickly to arrive at a solution and offers well and more computing power to the world of Artificial Intelligence systems and efficient Machine learning systems by solving small and large problems much faster. The main aim or objective of this paper is to discuss about the applications and importance of quantum computing in future which is very helpful to the people who are associated with cryptography, Aviation, Data Analytics, Forecasting, Medical research, Pattern matching, self-driving cars and so on.

Working capital plays a vital role in a business enterprise, as it helps the companies to maintain enough cash flow to meet its short-term goals and obligations. Working capital or net working capital is the difference between a company’s current assets and its current liabilities. Working capital management is important for Nestle industries, as they deals with anonymous current assets and current liabilities. Data of Nestle India Limited was collected for five years from its secondary source and analysed. The study helps to determine the impact of working capital on the firm’s profitability. Pearson’s correlation analysis was calculated to find the relationship between the firm’s working capital and its profitability. It was found that the relationship was positively correlated between working capital and profitability, and suggested the company to maintain this positive relationship constantly without any further changes.

In the corporate world there has been a burning issue in the trade-off between liquidity and profitability position of the organisation. In the management there is a need to trade-off between liquidity and profitability as it helps to maximise the shareholder’s wealth. In the growth and survival of the business liquidity and profitability are very important issues.  The main aim of the study is to know the relationship between liquidity and profitability of NESTLE India limited. The study covered a period of five years from 2015-2019. To analyse the relationship between liquidity and profitability the study has used liquidity and profitability as financial tools and Karl Pearson, correlation of co-efficient as statistical tools. It is found that there is a negative relationship between liquidity and profitability of the firm.

Comprehensive training throughout the most recent decade has become an every now and again utilized idea in the worldwide writing and has been concurred authenticity through different global assertions. It has amassed currency in India as a result of its use in government papers, schools, and the popular press. This paper examines the writing in the field of comprehensive instruction in India, with the aim of explaining the various points of view and contentions in its conceptualization, as well as identifying significant gaps. To begin, the paper embraces an idea. The paper begins with an organized approach that follows the progression of this concept. Further writing dedication aims to find answers to questions such as who is incorporated, what they have been incorporated into, and why they are incorporated. In light of the insights gleaned from the author, it is evident that the field of comprehensive education is propelled by a very amorphous force. As a result, it is argued that comprehensive education should be regarded as an approach that involves a more robust instructional structure. Will we be able to achieve our goal of preparation for everyone if it is seen in this way?

India is the most populated country. Traffic control is being a biggest challenge for the traffic police. Though the government is taking the necessary measures to control the traffic, the citizen’s co -operation is less. Reaching the destinations is becoming the major task for the people of busy schedules and hurry which causes violation of traffic rules that lead to traffic congestion and accidents. Death rate is increasing day by day due to more accidents and people are exhausted by the severe traffic congestions. To reduce these traffic congestions and accidents we are proposing a model which will help to ensure the safety of riders and also the traffic congestions. In this paper we have proposed an IoT (Internet of Things) based model which will continuously monitor the values of the sensors attached to the engines and warns the riders through vehicle-to-vehicle applications of connected vehicle technology which has the potential to significantly prevent or reduce the impact of millions of accidents every time when the accident or a traffic congestion are ahead to them.

The COVID-19 pandemic has affected all levels of educational systems worldwide, leading to the near-total closures of schools, universities and colleges.There are so many negativeimpacts of covid-19 on every sector in world and nowadays everyone is discussing and focusing on losses and drawbacks of covid-19. We should bring out ourselves from this worst situation and be positive. This paper was prepared to show some positive impact of pandemic on education., students, teachers, researchers and nonteaching staffs of school, colleges and universities. The main purpose of this paper is to remove the feeling of loss from mind of academician, students, research scholarsandothers. There are number of positive impacts of covid-19 on education, environment, human life, business etc. This paper enlightens the people with positive impact of covid-19 pandemic lock down on education.Because the positivity, there is reduction in depression andstress, as a result one can be more energetic and ambitious. Positivity helps us grow and improve our health.

Banking industry has a vital role over the development of the economy. They not only offer loans, interest, borrow and lend money but also assure the customers with its safety measures and provide them financial advice. Such a bank’s performance in all aspects is ranked and judged by one of the popular methods – CAMELS. It refers to C- Capital adequacy, A-Asset quality, M-Management, E- Earnings, L-Liquidity, S-Sensitivity to market risk. This paper has the comparative study of “HDFC Bank” and “Bank of Baroda” on CAMEL analysis for a period of 5 years based on the annual reports of the selected banks.

Financial performance analysis is the process of identifying the financial strength and weaknesses of the firm by properly establishing the relationship between the items of the balance sheet and profit and loss account. This study particularly aims at analysis of liquidity and profitability of Hero Motocorp Limited. It is an Indian multinational motorcycle and scooter manufacturing company. This study includes the 5 year financial performance of the company and gives some suggestions to improve their level.

Rising interest for protected and good food because of expanding worries over the nature of food, because of synthetic substances, genuine wellbeing dangers, and ecological issues. Organic products have a growing market both in India and globally. During 2019-20 total of 3.67 million hectares of organic certification, area has in India. The CAGR of cultivation of the organic area of India is 24.20 percent during 2012-13 to 2019-20. During 2019-20, Madhya Pradesh has the highest area under organic farming followed by Rajasthan, Maharashtra, Jammu & Kashmir, and Chhattisgarh.  This study is an attempt to understand and document the development of organic agriculture at the India level with the state of Tamilnadu status. It is evident that organic farming has been improved in recent years in India.