Volume 8 | Issue 5

 Abstract

Information and Communication Technology has the realistic tool to concerning change a nation. Information and communication technology is strongly connected to power and capability to influence in social change. ICT is not only opened up innovative vision for social development, but it has also fabricated problems and challenges. ICT enhance wide range of opportunities for human development. ICT have engaged in recreation for wide-ranging expansion and the empowerment of women which will differentiate in the social order. ICT are intensifying as a strong instrument for women empowerment. Therefore gradually women are taking advantage of ICT in all sectors of life. ICT can be a mechanism to sustain gender equality and expand the empowerment of women. In this connection current paper majorly concentrate on how ICT can impact on women�s life.

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ICT, Gender Equality, Empowerment

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The paper considers the various structure strategies for microwave band pass channel channels which are of adequately restricted fragmentary transfer speed to such an extent that they could be planned legitimately from low-pass models. A chronicled outline of the advancement of microwave correspondences is introduced, along side an assessment of the present situation with the-workmanship.

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Micro-wave and Transmission

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This paper aims to consider the theoretical SCP framework from popular industrial organization theories and test the interaction between three important aspects namely industry structure, conduct and performance (SCP) for Indian Engine Industry. A total of eight variables have been shortlisted for testing purpose. The model is constructed with one structure variable, which is market concentration denoted by Herfindahl-Hirschman index, while debt equity ratio, advertising expense to sales ratio, size set up, efficiency in use of total assets, marketing expenses to sales ratio have been identified to explain conduct, and profit after tax, sales and return on net worth represent the performance covariates. Using multiple regression and time series data between the periods 1991 to 2017 for the identified variables, the model fit and variable significance have been evaluated. The empirical results confirm the validity of the structure-conduct-performance hypothesis. The findings emphasizes debt equity ratio, Profit after Tax and return on net worth as the key influencers of the concentrated market structure for the chosen Engine Industry under Indian Manufacturing Industry Segment.

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Structure-Conduct-Performance Model, Engine Industry, Industry Concentration, Multiple Regression

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Digital media refers to the media that are encoded in machine-readable formats. Digital media is one which can be created, viewed, modified, communicated, preserved on digital electronics devise which include software, digital videos, images, web pages, databases, digital audio and E books. Digital media is opposite to print media and other traditional or analog media. This paper is attempted to trace the impact of digital media on society in its various forms. The course of research traces the impact of the digital revolution, the distinctive feature, and the pros and cons of digital media on society. The paper is an attempt to point out the merits and demerits of digital media and its impact on society.

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 Keywords

Digital media, Digital revolution, Internet, web pages, social disconnect

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India is a land of diversity. Her greatest strength is the young human resource. Education aims to tap these potentials irrespective of the multiplicity of its population in terms of cultures, religions, social backgrounds, economic power and so on. But these can be truly realized only if the nation is inclusive to the disadvantaged sections of the society. Persistence of social exclusion leads individuals or groups to be kept at, or pushed beyond, the edges of society and hinders national progress in its true sense. This paper is an attempt to discover from student teachers on their vivid domains of experiences of marginalization. A constant comparison method using Analytic induction technique was employed to analyze pre-service teachers� comments. Participants were asked to complete an open ended questionnaire pertaining to experience of Marginalization . Results of the data reveal that experiences of marginalization among students can be categorized to originating from Familial, Educational Institutions, Peer and Friends, Gender, Social/Public Institutions, Financial and Religious. Low Social Economic Status and female gender continue to experience higher social exclusion. It is paradoxical that education as an institution is supposed to play an eliminating role in exclusion effects is also amongst the forefront in promoting it.

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Marginalization, Social Exclusion, Constant Comparison

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Water is essential constituent of life supports systems. Nobody can live or even dream to stay without water. Maximum of our water bodies have become polluted because of industrial growth; urbanization and man-made issues specifically the result of population growth. Detection of unhygienic impurities in water is one of the important issues of human society. The detection of impurity in water isn�t only critical for consuming water but also for water in commercial use. The form of impurity to be detected varies with the version of using water. The mining and stone crushing activities have great effects on the surroundings quality and human fitness. The dust emissions contaminate the air and water. Results on water analysis show decline in DO and excessive values of overall hardness, calcium, magnesium, chloride, overall solids and total dissolved solids. Stone crushing and associated activities particularly make a contribution to surrounding environment. Suspended solids are materials that aren�t completely soluble in water and are present as particles. Those particles usually impart a visible turbidity to the water. Dissolved and suspended solids are present in maximum surface water.

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Water Quality, Dust, Dust fall, Crushing Industries, Dust Pollution Control.

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reception, criticism, relationship, interpretation, meaning.

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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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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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