Volume 4 | Issue 1 |

 Abstract

This paper explores the concept of Machine learning and its emergence as a useful technological advancement in various industries over the years as well as what its future looks like in the United States. This research paper is exploratory. There will be the use of secondary data obtained from various scholars who have documented how Machine Learning has been growing and transforming various sectors of the economy over the years. Most organizations have adopted the use of Machine Learning in this competitive era as most industries look at taking over huge segments of the economy. Machine Learning has been the talk of various stakeholders in the technological world but there are high expectations that it will grow more beyond its current status. Most industries have undergone massive technological changes in this competitive era. Many organizations are prepared to embrace the changes and as they intend to be more competitive [1]. The scope of artificial intelligence (AI) in various sectors of the economy like e-commerce, education, and health has increased over the years. Many companies are now investing in developing their AI and machine learning technologies to be efficient as compared to the traditional approaches. In the education field, Artificial intelligence has been adopted to reach out to students in remote areas. AI applications have supported personalized education and dialog system, a review of student progress reports, facilitate in game-based education as well as student support Chabot system. The study concludes that all sectors need to embrace the Machine learning framework to boost business operations in various economic sectors [2]. Since its inception, technologists have taken great steps to benefit from machine learning. Despite progress and advancements in machine learning, several main issues still prevail in organizational scaling due to manual processes and poor collaboration as well as overlapping resources that impede agility. Luckily, organizations particularly strive to make the most out of machine learning in the future [3]. Computer system specialists will now continue to increase their skills by designing, delivering, and improving on quality assurance to be prepared for the future artificial intelligence level. Every project team must be equipped to confront many important challenges that may arise. With the introduction of a robotic system, this trend has taken an exponential pace. Currently, the machine learning progression continues to build on improved coordination and automation concepts to improve application features, designs, and testing. In the U.S. the ongoing improvements of machine learning are noticeable in an almost limitless market. Machine learning is becoming a critical component of economic growth in this highly competitive age of technology [3]. Machine learning was a key element and shaped the technological environment, and many experts expect machine learning to be the norm and increase dramatically in the coming years.

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Artificial intelligence, machine learning Automation, Software architecture

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Karavali Karnatakada Budakattu Samudayagala Samajika Parampare

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Karavali Karnatakada Budakattu Samudayagala Samajika Parampare

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Empowering girls and women is the key to economic growth, political stability, and social transformation. World leaders, experts and scholars alike are lauding their voice to this vital endeavour. Mahatma Gandhi emphasized on women�s power and highlighted that if non-violence is the law of our being, the future is with the woman. Mr. Barack Obama, 44th US President rightly said when women succeed; nations are more safe, secure and prosperous. Kofi Annan, 7th UN Secretary-General pointed out that there is no tool for development more effective than the empowerment of women. However, Prof. Amartya Sen, Nobel Prize Laureate in Economics highlighted that empowering women is key to building a future we want. Empowering women contribute to the well-being and efficiency of whole families and communities, thereby improving prospects for the next generation.

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POLITICAL EMPOWERMENT OF WOMEN: PROBLEMS AND PROSPECTS

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In recent years, Ultrarelativitic heavy ion collisions allow us to study of densest and hottest forms of matter. In the Ultrarelativistic heavy ion collision process when the particle collide with each other a new particle is produced is called the Quark-Gluon plasma. When a lot of nucleon collids occur in the ultrarelativistic process. Different types of collision appear in collision such as distance collision, close collision, grazing collision, ultra-pheripheral collision. It is quantum field theory which describes the gauge invariant ineraction of charge particle which photon. The SSNTDs have been help for a theoretical study of heavy ion collision in ultrarelativistic. Kaufmann and wolfgang experiment is quit help of theoretical study of ultrarelativistic

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Ultrarelativistic

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ABSTRACT: Brick Industry is one of the informal and unorganized industries in Assam. Gradually the Brick industry has been expanding to real estate business. It is a labor intensive industry. The industry employs lakh of workers. Sizable portions of the workers are women. They live in below poverty line. At work place, they are exploited, deprived and do not get the status which the men workers enjoy. There are facing varied natures of problems in work place, particularly the brick industry those are establish in remote area of Gauripur Town . Their socio-economic conditions cause concerns. In this backdrop, an attempt has been made to ascertain and examine the Health related problem faced by the women workers engaged in brick manufacturing industry. The data collected in this regard have been interpreted through percentage analysis. They and their children are mostly illiterate. Most of them are coming from remote area of the district in search of employment .Their annual incomes are very small. They are not given the scope of doing skilled work. Very often they express dissatisfaction on working environments. In this regard the present study tries to explore the significance for the study on the Health Problems faced by the Woman Brick Workers in Gauripur of the Dhubri District so that Working environment needs to be improved and working women get motivated and enthused that may result in development of the Brick Industry.

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Key Words: Brick, Health, Manufacturing,Woman,Worker,

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Present study was conducted to examine the nature of life stress and coping behaviour in working women. The sample consisted of 100 working women and 100 non - working women aged between 25 to 35 years selected from a cross-section of society. Research tool consisted of Roy�s (2008) stress scale. Results indicated that compared to non-working women, the working women had experienced more stress; Urban working women had ; Upper cast working women experienced more stress than their middle cast and scheduled cast working women. Their coping behaviour to reduce also differed significantly. Working women used more often-the coping stretcher or coping skills like-problem centered, psychology Resilience, family support, cognitive restructure and other kinds of proactive coping strategy for behaviour and escape sahuviou (medications); Where as non-working women moit drepuentiy used emotional founed, support, seeking. It was also found that both working as non-working women used a mixture of several coping strategies which may change over time. To conclude, using problem focused coping strategies were found both for reducing stress and enhancing better for reducing stress enhancing better adjustment to life.

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Lifestress, coping behaviour, working women, Non-working women, Psychology , coping skill.

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The Electron density Ne, Kerma values and Dose rate of skeletal muscle relaxants tubocurarine chloride, gallamine triethiodide, pancuronium bromide, suxamethonium bromide and mephenesin for total and coherent, incoherent, photoelectric absorption, pair production in atomic and nuclear field photon interaction have been calculated in the wide region 1keV to 100GeV. The molecular, atomic, electronic cross sections are calculated using mass attenuation coefficient of relaxants obtained by running WinXCOM programme and Ne Kerma values and Dose rate the relaxants have been determined.

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Electron density, kerma values, Dose rate, relaxants

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MkW0 HkkLdjkpk;Z f=ikBh dk thou ,oa muds }kjk fojfpr ukVd ^LusglkSohjHk~ esa NUn ;kstuk

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MkW0 HkkLdjkpk;Z f=ikBh dk thou ,oa muds }kjk fojfpr ukVd ^LusglkSohjHk~ esa NUn ;kstuk

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The national income in terms of various sectors and the periodical variations in them. To make projections about the future development trend of the economy. To help government formulate suitable development plans and policies to increase growth rates. To help businesses to forecast future demand for their products.To make international comparison of people�s living standards.GDP refers to total income from goods and services produced in a country in a year.GDP is calculated bythree ways I) expenditure approach II) income approach III) value added approach.The following are eight macroeconomic variables to be discussed in this article. Gross Domestic Product (GDP), NDP at factor cost, GDP at market price, NDP at market price, GNP at factor costis, NNP at factor cost, GNP at market price and NNP at market price. These secondary data collected from the RBI Report from the Year 1989 � 90 to 2013-14. To develop the National Income the government politics should be easy for the people to understand. The government should remove all kinds of restriction for the entrepreneurs in there business initiation. To motivate entrepreneurs and engorge experts.

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Gross Domestic Product(GDP),NDP at factor cost,GDP at market price,NDP at market price,GNP at factor costis,NNP at factor cost,GNP at market price and NNP at market price.

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The Three Sufi Orders introduced in Kashmir like Suharwardi order, Naqashbandi order and Qadri Order very earlier, but hey came to prominence much later, and among the well-known Sufi orders the first to be introduced in Kashmir in early fourteenth century, was the Suharwardi order, and the other two Sufi orders introduced in Seventeenth Century.

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The role of Sufi Orders in Kashmir.

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