Volume 8 | Issue 7 |

 Abstract

When companies post jobs to their sites or other sites then hundreds of applications are received. Reading these CVs and recruiting the right candidates is a work that will include higher workforce to getting the result manually. Parsing Resume and scanning the same is an old process and estimating his proficiency in certain areas are practiced earlier. If we see currently there are no open-source CV parsers are available to extract knowledge from CV with expected results and therefore the purpose of the dissertation is to remove the shortcoming in the current Recruitment Systems which are used for extracting information from available CV thatwas available with the organization. With this research dissertation we are trying to generate solution to problem and provides accuracy in results and does the work faster.CV/Resumestakenfromdifferentprofessions use different formats, fonts, styling and structuring and vocabulary. We are focusing the concept of Automated Recruitment process and the mail logic behind it is to provide ease to Recruitment Process with the help of Technology.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Natural Language Processing (NLP), Knowledge extraction

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Creative Commons Attribution 4.0 and The Open Definition

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As we know that changes in the society can be brought only through education and both teachers and textbooks are the major components of formal education. In present time, we observe laxity of moral values in the society. Now a days, it is noticed that news of misconduct or wrong doings in the newspaper by students has become commonplace. All these negative aspects raise the question in front of us that what our textbooks are not imparting or inculcating values to the learners ? and if it exists, then why these values are not reflected in the behavior of the learners ? It is a big issue which draws attention of the researcher. Hence, this study tries to find out the moral values imbibed in Hindi textbook of class 8th named �Vasant Bhaag-3� prescribed by NCERT and also teacher�s role in addressing these values in the classroom discourse.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Values, Moral, Textbooks, Teachers and Upper primary level

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Institutions through which agriculture credit can be availed include banks as well as some other financial institutions. The farmers got the flexibility of approaching to the agency of their choice and the major credit needs of the farmers were met by institutional resources. The main objective of the paper was to study the ground level credit flow for agriculture in Punjab. It also analyses the growth of ground level agriculture credit flow in the state during the study period. It was found that the growth of production credit, term loan and total agriculture credit was fluctuating during the study period.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

agriculture, production, credit.

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Creative Commons Attribution 4.0 and The Open Definition

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In December 2019, A nCoV has been identified as a new strain that has not been previously identified in humans. On February 11, 2020, WHO renamed the COVID-19 from formerly named the 2019- nCoV. This phenomenon has resulted in a massive public reaction; the media has been reporting on a regular basis across borders to keep everyone informed about the pandemic situation. All these things are creating a lot of concern for people leading to increased levels of anxiety. Pandemics can result in increased levels of stress; Anxiety is a common rejoinder to any stressful situation. This study attempted to assess the awareness about prevention strategies against COVID-19 infection and stress level among adult Indian population during the Lockdown period of COVID-19 pandemic. An online survey was conducted using a semi-structured questionnaire. A total of 100 responses were received. The responders had a moderate level of anxiety levels identified in the study. More than 95% of the people were aware about the prevention strategies and were reported to take preventive actions to prevent themselves from COVID-19 infection. There is a need to intensify the awareness and address the mental health issues of people during this COVID-19 pandemic, which might result in mental stress among the population of India.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Awareness, anxiety, Stress, COVID-19 pandemic

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Creative Commons Attribution 4.0 and The Open Definition

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Education is the process of facilitating learning or acquisition of knowledge, skills, values and beliefs. Inclusive and equitable quality education is the basic human right of every individual and is a crucial goal of sustainable development. However, disparities exist within the educational system in India which has now further increased because of the new pandemic. Children are deprived of regular learning opportunities because of school closure. In this article, a modest attempt has been made to review the literature on the impact of COVID-19 on the learning processes of children. The aim of this literature review is to identify empirical studies focusing on the impact of Covid-19 on Education of Children and to propose solutions, which should be introduced to mitigate the immediate impact of school closures on the education of children. Secondary sources have been used to describe and summarize the content. The findings suggest that there is a need for an exhaustive change in the education sector at the national level. The study concludes that a detailed comprehensive guideline and a contingency plan is required before the schools reopen. Further, a training programme is required to prepare teachers and students for online classes.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Children, Education, COVID-19, Endemic, Learning, Student, Teacher

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In this paper an attempt has been made to deal with the contribution of Wodayars of Mysore towards arts. The Wodayars of Mysore kingdom were perhaps the most celebrated and legendary ruling dynasties that history witnessed through the centuries. The Mysore court contributed greatly to the field of the culture, tradition, music art and literature.

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Wodayers, Mysore, Patron, KrishnadevarajaWodayar , JayachamararajaWodayar, royal king, Musicians, dancers, music, compositions, composers, Mysore style, art and culture, contribution, patronage.

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Creative Commons Attribution 4.0 and The Open Definition

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The social awakening movement and the introduction of various new facilities to the specific class, caste groups, communities by the colonial Government inspired them to launch socio-religious movement which took the shape of caste consolidation movement during the late nineteenth and first half of the twentieth century. In this movement there was a significant role of Sri Sri Hari Chand Thakur and Sri Sri Guru Chand Thakur for the overall development of the depressed and downtrodden people in the society, especially for the upliftment of the Namasudras. Sri Sri Hari Chand Thakur�s principle aim was to unite the untouchables and the oppressed for a common cause of collective thought, and that is where the key to the liberation of spirituality lies. He wanted to establish a classless, casteless society. Sri Sri Guru Chand Thakur believed that he could not save his community unless he worked for all other social groups, especially for the depressed and untouchables. He also said that, �All human beings living this world will be considered by me as belonging to one�. He also realized that in order to be socially developed, the Namasudras must have adopted education. This is education which brings wealth and without wealth no caste can move up in the society.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Awake , Chandal, Discrimination, Downtrodden, Upliftment, Unprivileged.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Background: The study was conducted in an automotive spare part manufacturing industry located in South India. The various machinery safety factors were identified and studied in selected work stations. Aim: This study was initiated to identify the critical factors and to design a Structural Equation Model to find the resultant effects and the degree of relationship among the predominant machine safety factors. Materials and Methods: Systematic random sampling method was adopted to collect 142 samples. Twenty Five variables influencing Safety Factors were identified in the questionnaire, validated and responded in Likert type five-point scale. Statistical Analysis: Factor analysis was done to extract the predominant factors and seven iterations were extracted. Structural Equation Model (AMOS 20) was used for the analysis to find the resultant effects and the degree of relationship among the seven factors. The data was analyzed by the IBM-SPSS version-20. Demographic study, Descriptive Statistics, fitting the models using AMOS Graphic was performed. Results: The factor analysis revealed that seven predominant factors. SEM model analysis is done based on model fitness indices (goodness of fit). Conclusions and Implications: The result of the Fit statistics of the structural model confirms the Model is fully supported and found FIT. Construct validity has been achieved during GFI, NFI and CFI being nearest to 0.90 and the RMSEA is 0.000. Internal reliability has been achieved with the Cronbach�s Alpha value of 0.752. It is concluded that there is a significant level of association among the machinery safety factors.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Predominant Machinery Safety factors, Human-Machine Interface, Training, Hazards, Risks, PPE

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Background: The study was conducted in an automotive spare part manufacturing industry located in South India. The various machinery safety factors were identified and studied in selected work stations. Aim: It is to identify the critical machine safety factors and to analyze the primary data on the Factors Influencing accidents and risks in the manufacturing Industry. Materials and Methods: Systematic random sampling method was adopted to collect 142 samples using a developed questionnaire. Twenty Five variables influencing Machinery Safety were identified in the questionnaire, validated and the response of the various categories of employees was measured by applying Likert type five-point scale. Statistical Analysis: The data was analyzed by the IBM-SPSS version-20 and the Mini-Tab Version-16. Descriptive Statistics, Factor Analysis using Principal Component Analysis with Varimax Rotation and Pearson�s correlation tests were performed. Results: The factor analysis revealed that seven factors are the predominant factors that influence machinery safety components in an industry. The result of correlation analysis also confirms the positive correlation among the above seven factors and it is found to be at 5% level of significance. Conclusions and Implications: This study has demonstrated that the machinery safety components were varying based on the type of operations, machinery conditions etc. It is concluded that there is a significant level of association and hence the management in manufacturing industries has to consider these factors and focus more on Occupational Health, Safety & Environment policies and practices suitably to create conducive safe & productive work environment.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Predominant Machinery Safety factors, Human-Machine Interface, Training, Hazards, Risks, PPE

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

When a disease reaches to pandemic level leading to severe disaster situation, it spontaneously alerts the health-care workers and hospitals for protecting the health of the citizens of the country. This requires adoption of quickly acting health protecting systems with immediate and distant vision, which are to be continued even for the longer period. This is an essential task since the disease in its pandemic form, spreads over mass population with a faster pace and persists for a longer period. This certainly leads to damage of the health system of mass population at one end and at other end it badly affects the economy of a country. Such pandemic also overburdens the health-care facilities. As we are having limited resources in health sector, we need to work with less and need to give the more. To enhance the capabilities of our hospitals and various health-care organizations, digital technology can play a major role in early detection of the disease as well as limiting the spread of the disease. This paper provides possible solutions for the application of digital technologies which can further help in overcoming the pandemic situation, highlighting the successful ways like pandemic planning, contact tracing and surveillance, increased testing and many others in order to achieve the controllable position in the current outbreak.

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 Keywords

Covid-19, Corona Virus, Digital Technologies, Pandemic, Artificial Intelligence, Machine Learning, Internet of Things, Virtual Reality, Deep Learning

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Creative Commons Attribution 4.0 and The Open Definition