Volume 8 | Issue 5

 Abstract

As the world fights a relentless battle against the pandemic, novel Corona virus has impactednot just on a single sector but on whole human life resulting from the lockdown of schools, educational institutions, companies, theatres,malls and various other sectors. The effect of lockdown has brought about a complete change of lifestyle of many, the rules are shifting for what people can do in their daily lives.The spread of the new coronavirus is testing our globalized world and the world has to adapt to a new kind of normal. It�s truly astonishing that people have become accustomed to changing the routines, learned to focus and concentrate while in a new environment, and modified the way of existence in such a short matter of time. In the meanwhile, employees are also encouraged to get connected, stay focused and productive and continue to develop to their maximum in a work from home environment.

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Outbreak, Pandemic, COVID-19, Lockdown, Social distancing, PPE, Work place, Productivity.

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Abstract- This article presents a framework for identifying appropriate data mining techniques for various CRM activities. This article attempts to integrate customer relationship management and data mining models and proposes a new data mining model for customer relationship management. The new model specifies which types of data mining processes are suitable for which customer relationship management steps / processes. To develop an integrated model, it is important to understand the existing customer relationship management and data mining models. Therefore, the article examines some of the existing customer relationship management and data mining models and finally proposes an integrated data mining model for CRM. Research Implementation: this research document provides a preliminary understanding of the role of data mining in CRM to retain customers, in addition to that it also highlights how different data mining tools are used to retain their customers with unique ideas and approaches and helps meet market needs for the present and the future. Originality: this document highlights the different types of use of data mining to retain customers, as well as the importance of data mining and database maintenance to retain existing customers and meet needs.

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CRM, data mining, customer, data mining techniques, database

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The only sector which is still operating amidst continuous forty days lockdown is the farm sector. We have a very resilient farm enterprise base, which is run by the owner-managers of these farms. Therefore our only hope is Agriculture and the Indian economy is left with only Agriculture to depend upon because there is only one demand that can easily revive- that of food. Agriculture contributes 16 percent of the GDP.India is expecting record food grain production of 298.32 million tons this year which is 2 percent more than the record yield. Because of COVID -19 fears countries across the world are planning to move their supply chains out of China and this will definitely benefit India. Following the nationwide lockdown 50 million migrant labours are expected to have returned or are still returning to their native places from cities. They can be significantly employed in labour intensive sectors and this will help to develop rural economy. Also women migrant farmers should be given subsidized bank credit. E-NAM needs to be implemented widely. A regenerating agriculture alone has the ability to reboot the economy.

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 Keywords

Agriculture, rural economy, e-NAM, migrant laborers, lockdown.

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A series of novel imidazolidinone derivatives have been obtained starting from 2,4-dinitro phenyl hydrazine and aldehyde. These were converted to corresponding Schiff bases using THF. The resulting Schiff base was treated with ?-amino acids to obtain corresponding imidazolidinone derivatives. The newly synthesized compounds showed high antimicrobial activities against some bacterial and fungal strains and anticancer activity.

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antimicrobial activity, antiantimicrobial activity, anticancer, tetrahydro furan, Staphylococcus aureus, Kirby Bauer Disk Diffusion.cancer, tetrahydro furan, Staphylococcus aureus, Kirby Bauer Disk Diffusion.

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High blood pressure, also referred as, hypertension could be a silent killer which increases the danger of diseases like heart attack, kidney disease, metabolic syndrome and blindness. It can also cause premature death. It's necessary to monitor the blood pressure continuously, so as to stop diseases and death. The normal method of pressure measurement uses sphygmomanometer with cuff which is not an effective method to monitor the blood pressure continuously. This paper involves a different method to estimate the pressure continuously and non-invasively. We employ a technique of determining pulse transit time (PTT) parameter from obtaining the Electrocardiogram (ECG) and photoplethysmogram (PPG). The PTT is time taken by the blood pressure waves to move from one point to another point of arteries. The PTT helps to estimate the blood pressure in unremitting manner. We implement this method through low cost and reliable embedded systems design to simultaneously measure the ECG and PPG signal. Those signals are further processed to determine the PTT by applying peak detection algorithms. The PTT is further used to estimate the blood pressure. The IoT helps to monitor blood pressure and heart rate through the android/web applications.

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Blood pressure, Electrocardiogram, Photoplethysmogram, Pulse transit time, Internet of Things.

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Education plays a very important part in everyone�s life. But the factors associated with it (exams, assignments, competition, etc.) place great amount of stress among students (Martin, 2007). It has been observed that the overall prevalence rates of stress have significantly increased over time (Jain & Singhai, 2018). In particular academic stress, which has become a part of students� academic life, poses a great threat to their psychological and physical well-being.Coping is a dynamic situation-specific reaction to stress. It is a set of concrete response to stressful situations or events that are intended to resolve the problem and reduce the stress. The objective of the study was to find the difference in coping among Day Scholar and Hostellers. A quantitative research approach was used using comparative study Design, there were 36 students who were divided into Day Scholars and Hostellers (n1=18) (n2=18). Coping scale by hamby, Grych, & Banyard was used. Results reveal that the mean score varied between the two variable. Mean of Day Scholar are 31.52, Mean of Hostelers are 31.83. As there is a very little difference in the mean score of Hostellers as compared to Day scholars, we can say that students who are Day Scholars are a bit high on coping as compared to student who are hostellers, as there can be many reasons behind it like Home, Emotional support provided by parents, better health condition and many other factors. Hence the study confirmed that students who are Day Scholars are cope easily from stressful situation as compared to student who are Hostellers. Through this research we have found out that that those who are staying at home have more ability to cope as compared to hostellers.

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Coping, Day Scholar, Hostelers

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Abstract Present study was designed to investigate the impact of socio-economic status on mental health and also to search the relationship between socio-economic status and mental health. As a sample 100 respondents were classified considering their levels of socio-economic status into high and low category into two equal groups. Product moment correlation was used to search the relationship between levels of socio-economic status with mental health. Comparison between high and low socio-economic status respondent was made using �t� Test of significance. For measuring mental health, questionnaire developed by Dr. R. D. Helode was used, and for measuring socio-economic status, scale constructed by Ranbir Singh & Satih Kumar was used. Findings of the study revealed positive significant relationship between levels of socio-economic status and mental health. However, significant variation exist between high and low socio-economic status respondents on mental health, where high socio-economic status respondent found superior over low socioeconomic status subjects.

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Mental Health, Socio-economic status

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These days well being is a significant worry for everybody so right conference is significant. There are extremely less answers for that so as good as ever arrangement ought to be created. This framework predicts the infection of the user(patient) by the side effects gave by the user(patient) and furthermore gives medicine checked by the specialist himself. There are frameworks like these which are recently actualized yet a large portion of them simply offer reference to the specialist's which are identified with the specific malady and every one of them center around a significant illness like kidney, heart or liver infection. Proposed framework defeats the downsides of other existing frameworks as in, this framework gives medicine confirmed by the specialist and it generally centers around a fundamental sickness like dengue, intestinal sickness, cold, fever, and so on which are for the most part not featured by different frameworks. The proposed framework is better as in this framework has a specialist module which checks the remedy. This proposed framework has three kinds of side effects classes which are (essential, typical, basic) which is helpful as though the patient is basic, he/she will be legitimately given the calling subtleties of the specialist rather than framework recommending them. The proposed framework includes a forecast framework where a patient can see different specialists for their medical problem. This framework will likewise give a rundown of different master specialists accessible for a specific clinical issue. In the clinical area, choices normally have exceptionally high hazard and to maintain a strategic distance from that outcome ought to be exact with check from specialists.

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Data Mining, Machine Learning, Disease Prediction, Health Care, Predictive Algorithm and Technique.

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In this review paper, we have studied different methods of SUH which can be used for the ungauged catchments for this we have studied few traditional methods i.e. Snyder method, Taylor and Schwarz model, Soil Conservation Service method. Geomorphological models in which we have studied GIUH model, Width Function Based GIUH model, GIUH Based 2PGD Nash model. We studied probability distribution function- based SUH method i.e. Transmutation method. We have also studied the traditional method from Akshay Thorvat research paper. During our study, we found that calculation by using of Traditional methods gives us the same results as we can expect from other methods. Traditional methods can be used by the students for their calculation purpose which can give same results same as by other methods. The other methods need study of conceptual models as well as need of the study of GIS Software for the GIUH model study which is not needed for the traditional methods if the topographic features which required for the catchment area are known to the hydrologist.

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Synthetic unit hydrograph, Ungauged basin, Unit hydrograph, Peak discharge, Time to peak.

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Saving money and saving material provides better value is a concept that anyone accepts. The benefits not in terms of money but value engineering and quantity surveying is saving also nature by applying different methods. By eliminating extra function and change material by applying a job plan which gets better value and saving the cost of the project. The thesis discussed the concept of value engineering and quantity surveying. How to apply both together. In this study you will find by applying job plan methods and analytically effective implement of value engineering and quantity surveying concept through a different study and its effort has been put into a project. The material get from the research is to reduce costs without affecting the quality and environment. The overall saving is 14.3% through this research., hence this method is significantly useful for the improvement of the function of the project.

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Value engineering, Value management, quantity surveying, job-plan

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Packaging of products is an eminent feature of marketing communication, especially in this fast-paced and dynamic day and age. Packaging cues create interest in the minds of consumers, which ultimately may result in a purchase decision. Consumers� perceived quality of a product is important in determining the brand�s longevity. Positive perceived quality and packaging cues of products are important antecedents to the purchase decision of an aware consumer. The aim of this article is to study the importance of quality perception and packaging cues in the purchase intention of consumers. This research paper examines the consumers� purchase intention with regard to the products of �JOOT Foods� which are natural, have no added preservatives and do not contain artificial substances. A quantitative research was conducted by distributing one hundred and fifty sets of questionnaires to consumers in Chennai through Google Forms. Results show that packaging cues and quality perception have a direct and positive relationship with the purchase intention of consumers. This research with its analysis can be beneficial to JOOT Foods by aiding them in maintaining and enhancing their existing product packaging and quality to further stimulate consumers� interest and create a niche for the products in the market.

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Food Products, Packaging Cues, Quality Perception, Purchase Intention

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Sigmund Freud was known as the �father of Psychoanalysis� who revolutionized the understanding of human behaviour with his Theory of Psychoanalysis. His major contribution was his book The Interpretation of Dreams in which he discussed about dreams at length. This paper tries to analyze the dream phenomenon as presented in some literary works. The paper interprets the dreams of certain characters in selected literary works according to Freud�s Theory of Dreams.

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dreams, interpretation, literature, unconscious, wish-fulfillment.

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The accident rate due to negligence of observing traffic signs and not obeying traffic rules has been increasing drastically. By utilization of synthesized training data, which are created from road traffic sign images allows us to overcome the problems of traffic sign detection databases, which vary for countries and regions. This method is used for the generation of a database which consists of synthesized pictures to detect traffic signs under different view-light conditions. With this data set and a perfect Convolutional Neural Network (CNN), we can develop a data driven, traffic sign recognition and detection system which has high detection accuracy and also has high performance ability in training and recognition processes. This ensures less occurrence of accidents and also helps the driver to concentrate on driving rather than observing each and every traffic sign. The purpose of this paper is to provide an efficient method for detection and recognition of traffic signs in India. We proposed methods like neural network and feature extraction which overcome the limitations of existing methods and improve the efficiency in detecting traffic signs and also reduce the road accidents.

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Convolution neural network, Feature extraction, Road accidents, Traffic sign recognition.

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The unsafe pedestrian crossing at uncontrolled midblock sections is very common phenomena. At such locations, vehicles do not always yield to pedestrians, and pedestrian are unable to judge suitable gaps between two vehicles, thereby, expose themselves towards crash risk. This paper aims to identify the factors affecting Pedestrian Level of Service (PLOS) for unsignalised intersection. Firstly, the potential primary factors influencing pedestrian LOS at crosswalk were summarized from three respects: traffic conflicts, crossing facilities and delay. Secondly, data for the model were collected, including 92 participants real-time sense of comfort and safety when they crossing the selected intersection crosswalks and the design and operational characteristics of the selected intersection. The study area for research work is taken at Ernakulam district of Kerala, India which includes a two three legged intersection. In order to fulfill this objective, a stepwise multi-variable regression analysis was performed using the observed data. A significant number of pedestrians were requested to give ratings for each intersections based on their experience at the actual sites. The scores given by the pedestrians were considered as the dependent variables for the analysis. A video graphic survey was conducted to collect the primary independent variables influencing LOS was identified and tested in the stepwise regression analysis and were carried out to develop PLOS model for overall unsignalised midblock crossings of roads. This pedestrian LOS model was developed by the identified variables.

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Pedestrian LOS, Intersection, Variables

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Our country is an agrarian economy, it has been a land of organic farming. With the implementation of green revolution in 1960�s use of fertilizer and pesticide have increased to increase productivity. Pesticides helps in reducing the crop loss and result in better yield. However, use of pesticides excessively possess serious environmental and human problems. Anyone who uses pesticides or present when sprayed are bound to have risk. Pesticides may travel long distance from the place sprayed and way result in chronic poisoning. The use of pesticides is increasing every year globally and pesticides manufacture, use, storage, and disposal should be strictly regulated to reduce the negative effect on environment and public health. Haphazard use of pesticides and ignorance has increased the risk of exposure not only farmers to pesticide and are becoming a major health threat to all.

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Pesticides, exposure, haphazard, health threat.

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The main purpose of doing this project is to aid the military operation. This project is developed on the idea of aiming controlled by brain.This is done using BCI device such as Brainsense Headset. The input controls are given by the brain directly. All the information is carried in the form of electrical pulses inside the brain. These electrical signals are sensors are detected using an EEG sensor. The EEG stands for Electroencephalogram. This sensor is basically an electrode which is placed on forehead or scalp. This sensor takes the raw data, processes it. All this is done using Brainsense Headset. The processed data is transmitted to the microcontroller through Bluetooth communication. Using these signals the motors are controlled for robot movement.

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ARDUINO UNO Microcontroller, EEG sensors, LASER diode.

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Blindness, low vision, visual impairment -, vision loss have dramatic impacts on individuals experiencing such disabilities. These carry with them physiological, psychological, social, and economic outcomes, hence impacting the quality of life and depriving such individuals of performing many of the Activities of Daily Living (ADL), the most crucial of which is navigation and mobility. Hence this system concept is to provide a smart electronic wearable aid for blind people. This system is intended to provide an overall measureof object detection and send information related to the path. The system consists of raspberry pi zero, ultrasonic sensor, and a GPS module. This project aims at the development of an Electronic Travelling Aid (ETA) kit to help blind people to find an obstacle-free path. This ETA is fixed to the shoe. When the object is detected near to the shoe alerts them through voice commands and also in advancement with the help of Micro Phone, Here power supply is the main criteria. .

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GPS module, Map box API, Micro Phone ,Raspberry Pi zero, Ultrasonic sensor, Push Buttons.

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Mechanization has become the most important aspect of modern agriculture in India due to increasing demand, less yield, scarcity of farm labors, etc. To maintain the sustainability in the agricultural sector, it is essential to spread the awareness of Farm Mechanization among the farmers. The main problem for farmers to adapt mechanized alternatives is lack of knowledge and scarcity of resources such as man, machine and land. The purpose of this study is to investigate the need and challenges of farm mechanization and the current development in the field of mechanization in India. In this study, it is concluded that agriculture in India contributes 14% towards GDP. However, 48% of the population is engaged in agricultural activities for their livelihood. The demand and sales of tractors, power tillers and farm power availability are increasing year by year. This concludes the importance of implementation of mechanized alternatives for farming. Some of the problems in agricultural mechanization and measures to be taken to increase the awareness and implementation of farm mechanization are given in this study. Summary of the different machines which are currently used towards Farm Mechanization in India and their development is also studied.

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Sustainable, Low input, Agriculture, Mechanization

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Agroforestry is the unique way of farming practice of agriculture and forestry in the same plot of land, Chepang are backward ethnic of Bagmati Province engaged in farm-based agroforestry system and generate production from its practice realized helpful during a crisis. A Novel Coronavirus called COVID-19 devastated sphere and keeps the human lockdown. The farmer faces trouble unexpected long day lockdown. This study is anticipated to analyze the impact of COVID-19 within Chepang in Nepal; as well as a proposed model for the agroforestry caused through COVID. Purposive sampling, with some 100 HHs (Raksirang Rural Municipality, Makwanpur district) data collected in the lockdown period. Chepang experienced many calamities, and COVID-19 was the unique way to fight, farm production was more consume instead of a sale. Continue lockdown engaged in agroforestry farming, lack of wage opportunity, partial functioning of the market, no sale of farm products are the common trends. Food aid support by Rural Municipality played a role helped some 30 HHs poor families. A long-term food security self-sustainability strategy suggested; continue lockdown may crisis, if farm products not sold and wage stopped. A model proposed considering COVID with pointing three major actors (Farmers, Local government and Development agencies) could play a vital role in the future for sustainable development, among the model conditional wage scheme could relieve farmers in the future sustainability.

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Agroforestry, Chepang, COVID-19, Rural Municipality, Livelihood

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In recent years, AMR (Antimicrobial resistance) is a very fervent issue and having great concern for different regulatory agencies and consumers not only in India but also in worldwide. So, reliable and consistent screening methods for detection of antibiotics and its residues are necessary in different food commodities of animal protein origin for food safety point of view. Analytical methods are mainly divided into two groups i.e. screening methods and confirmatory methods. Screening methods are qualitative or semi quantitative, whereas confirmatory methods are quantitative, sensitive and accurate. Selection of the suitable method will depend on the intended degree of accuracy, convenience, urgency, availability of resources, availability of technical expertise and cost.

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AMR, SCREENING AND CONFIRMATORY METHOD, MICROBIOLOGICAL, ELISA, HPLC, UPLC, LC-MSS

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Creative Commons Attribution 4.0 and The Open Definition