Volume 9 | Issue 4 |

 Abstract

Abstract: Education is a tool for transmission of culture, accumulated knowledge and experiences of a society transformed through a medium of Language. World Federation of Modern Language Associations discussed about the following four goals of global education Knowledge, Skills, Attitude and Action which must be included in Language Teaching Curriculum. Global Education deals with the uniformity in design, content and structure of education system. India is a Multilingual, Multiethnic and Multicultural country in which many small groups speak diverse Languages and Dialects which are barriers to standardise, globalise and internationalisation of education to compete with International standards. The Language Policy in India relating to the use of Language in Administration, Judiciary, Legislative and Education System. It is pluralistic in its scope and with the help of Constitutional provisions encourages the citizens to use their Mother Tongue to develop as well as survival of Indian Languages. As per 1991 census more than 1650 Mother Tongues genetically belonging to five different Language Families prevailing in India given provision for education in multiple languages and mother tongues. The Sixth All India Educational Survey indicates that 41 languages are taught as School Languages and 19 of them are used as medium of instruction at different levels. In this critical context of Globalization of Education system this paper intended to reveal the importance of modernising the regional Languages Curriculum with the help of Language Technology to standardise Indian Languages to survive and cope up with International Languages.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Global Education, Virtual Education, e-content development, Multilingual, Language Policy, Multiculturalism, Regional Languages

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Creative Commons Attribution 4.0 and The Open Definition

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Employee efficiency is a vital component of a company's performance in today's dynamic global setting. High levels of stress in the workplace can have a direct negative effect on employee productivity. Stress is a common component, and people from all walks of life are subjected to it. Employers are also investigating the stress management problems that lead to workers' poor job performance. The study's main purpose was to measure stress and its effect on employee productivity. The research was carried out in Ranipet's Leather Industry. The research design chosen was a descriptive survey. Affordability a sample size of 150 was selected using convenience sampling techniques. Questionnaires were used to gather information. The findings revealed that the respondents were subjected to a variety of stressors, and the investigation revealed that stress had an effect on productivity. The majority of respondents said they work under extreme stress and that they don't feel cared about by their employers. The fact that the majority of respondents considered quitting their jobs because they believed their employers didn't care about them reflected a high level of discontent, which inevitably lowered productivity. Management should perform an overview of the organisational atmosphere and environment by evaluating why workers believe Leather Industries does not care for its employees and what they can do to improve this. It was also proposed that an Employee Assistance Program be implemented to allow for early detection and intervention of issues in order to maintain productivity levels.

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Creative Commons Attribution 4.0 and The Open Definition

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Stress, Stressors, Types, Effect of Stress, stress coping Mechanism

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Natural language processing, Abstractive text summarization, attention, transformer, encoder, decoder

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Creative Commons Attribution 4.0 and The Open Definition

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Electrocardiogram or ECG waveform is one of the most common names that comes up in the healthcare sector. It is often the foremost step that is taken by the healthcare professionals when it comes to dealing with any cardiovascular issues. The signals from the ECG waveform are a reflection of how the heart functions. Any abnormalities encountered in the waveform are a reflection of underlying problems that a person may be suffering from. Using technology, especially Machine Learning and Artificial Intelligence in the healthcare industry can open up new doors and provide valuable assistance in the treatment of diseases. HealthyHeart is our proposed way that classifies CVD by using Random Forest Algorithm on the data obtained from the ECG signals. An accuracy of 97.7% was achieved by training the developed model over 979273 data entries. The accuracy rate indicates that HealthyHeart is a good fit for producing accurate results.

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 Keywords

ECG, Machine Learning, Healthcare industry, Cardiovascular diseases (CVD), Random Forest (RF)

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Creative Commons Attribution 4.0 and The Open Definition

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Lycopene is a functional component of great dietary importance obtained from many plant sources. In this article, we address the extraction of lycopene using different extraction methods, acetone petroleum ether extraction method, methanol Extraction method acetone and petroleum ether extraction method, and hexane Extraction method, and screening was carried out by TLC method using standard lycopene. We also describe the different applications of lycopene hydrogen peroxide scavenging effect, RNA Damage estimation, and lycopene as a food colorant

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Creative Commons Attribution 4.0 and The Open Definition

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lycopene, Tomato sample, Extraction method, TLC , Applications

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Motivation, Satisfaction, Productivity

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Creative Commons Attribution 4.0 and The Open Definition

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In this paper, genetic algorithm (GA) and particle swarm optimization (PSO) techniques are used, to analyze the optimal DG placement for minimization of power losses to facilitate the large-scale integration of DG Into distribution systems. The impact of DG on losses is also analyzed. Soft computing technique PSO is exhibited to be flexibly suitable for execution at any type of power system with the specified system bus data & line data. GA and PSO soft computing optimization techniques have been analyzed and tested on the standard benchmark IEEE 30-bus system. Results obtained after applying both optimization techniques on the American Electric IEEE 30-bus system with the same control variable with maximum & minimum limits and system data have been compared and analyzed. The result validates that the appropriate allocation and size of DG are the significant factors that affect the accommodation of the growing levels of DG in distribution networks.

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Analytical expression, loss reduction, multiple DG, optimal location, optimal power factor, optimal size.

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords : Immune disease, Hypothyroidism, Radiation exposure, Genetic,Metabolism

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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In this paper we introduce intuitionistic fuzzy g??-closed sets and intuitionistic fuzzy g??- open sets. The relations between intuitionistic fuzzy g??-closed sets and other intuitionistic fuzzy generalized closed sets are given

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

intuitionistic fuzzy g??-closed sets

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Creative Commons Attribution 4.0 and The Open Definition