Volume 5 | Issue 3 |

 Abstract

guru shishy parampara ek moolyaankan

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guru shishy parampara ek moolyaankan

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 Abstract

saahityik evan vaichaarik paripakv mein bhaarateey naaree ka mukti sangharsh ev mahila adhikaarita ke prayaas

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saahityik evan vaichaarik paripakv mein bhaarateey naaree ka mukti sangharsh ev mahila adhikaarita ke prayaas

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There are many occupational risks leading to industrial accidents in iron and steel industries. Thousands of workers become disabled or deceased due to industrial accidents in iron and steel industries in India every year. As such, the present study is made to explore the safety and security issues in iron and steel industries located in Bellary district of Karnataka. Totally 400 workers working in different iron and steel industries of Bellary district are surveyed. The paper described the different issues in safety and security of these workers in iron and steel industries.

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Safety and Security of Workers in Iron and Steel Industries of Bellary District

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This study is focused on the use of social Media among the post-graduate management students for their academic and general purpose. Collected responses from the students of five post-graduate management institutions in Davangeri district, Karnataka for this study and 100 structured questionnaires were equally distributed among the students to get the response about the use of social media for their academic and general purpose. The result found that majority of the management students use Facebook, google+ and YouTube to chat and send the messages. The study revealed that the purpose of use of these social media is to keep in touch with friends/relatives and to search job and to update the current information in general. Further, students are using social media for academic purpose only preparing class notes 57.14% and preparing PPTs 54.76%. Finally it can be concluded that there is a need to create more awareness to make use of these social Media for the purpose to build the communication skills, professional links and to update their general knowledge.

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 Keywords

Social media; communication skills; management; internet.

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THE STUDY PRESENTS THE ANALYSIS OF ROAD ACCIDENT AT DIFFERENT LOCATIONS NEAR SAMALKHA, HARYANA ON NATIONAL HIGHWAY 1.THE DATA COLLECTED FROM P.W.D. DEPARTMENT WAS ANALYZED, IT WAS FOUND THAT THE NUMBER OF ACCIDENTS ARE INCREASING CONTINUOUSLY YEAR TO YEAR. THE CAUSE OF ACCIDENT WAS ALSO ANALYZED, THE ADHERENCE OF ROAD SAFETY REGULATION, LACK OF SIGN AND SIGNAL WERE THE MAIN CAUSES. MORE THAN 80% ACCIDENTS HAPPENED DUE OVER SPEEDING, DRINKING AND RECKLESS DRIVING. SOME RECOMMENDATIONS HAS ALSO BEEN SUGGESTED BASED ON THE STUDY.

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ACCIDENTAL CHARACTERSTICS BETWEEN JHATTIPUR TO HALDANA BORDER (NH-1)

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yataarthavaad ev usaka shaikshik darshan

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prayojanavaad evan unakee shaikshik darshan

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prayojanavaad evan unakee shaikshik darshan

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prayojanavaad evan unakee shaikshik darshan

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The purpose of the study is to capture the lived experiences of working women in the informal sector using two brief case studies. The objective of the study is to analyze the conditions of working women and how the social construction of gender increases the burden of working women as compared with men. Though the informal sector itself is a very broad category, the study is limited to two categories worker, viz., work as a sanitary worker and work as a security guard on a contractual basis. The findings of the study depict how the social construction of gender and gendered norms shape the lives of these working women and induce their burden of work. The findings also show that the intersection gender, caste and poverty also intensify the problem in the lives of these women. In conclusion, it was argued that the women who were working in an informal sector have triple burden - one is due to their work, second is due to the informal sector and third because she is women. Though the role of government and their policy were very important to address concern of women who are working in informal sector, it's pertinent to change our attitude towards these women and treat them with dignity and respect.

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Women, Work, Health, Informal Sector, Women and Health

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Image re-arranging, as a puissant way to deal with upgrade the eventual outcomes of online picture look for, has been grasped by energy business web crawlers, for instance, Bing and Google. Given a request catchphrase, a pool of pictures is first recovered in perspective of scholarly information. By asking for that the customer separate an inquiry picture from the pool, whatever remains of the photos are re-arranged in perspective of their visual resemblances with the request picture. A prominent test is that the similarities of visual features don't well relate with pictures' semantic implicative suggestions which interpret customers' interest prospect. As of late people proposed to facilitate pictures in a semantic space which used characteristics or reference classes solidly related to the semantic implicative intimations of pictures as introduce. In any case, taking in a far reaching visual semantic space to portray exceedingly sundry pictures from the web is cumbersome and inefficient. In this paper, we propose a novel picture re-arranging structure, which normally separated learns particular semantic spaces for sundry inquiry watchwords. The visual features of pictures are expected into their related semantic spaces to get semantic imprints. At the online stage, pictures are re-arranged by optically soliciting their semantic imprints procured from the semantic space meant by the inquiry watchword. The proposed question specific semantic checks essentially upgrade both the precision and profitability of picture re-arranging. The main visual features of thousands of evaluations can be foreseen to the semantic stamps as short as 25 measurements. Tribulation comes to fruition exhibit that 25-40 percent relative change has been proficient on re-arranging precisions differentiated and the best in class methods.

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 Keywords

Image search, image re-ranking, semantic space, semantic signature, keyword expansion.

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Fluid mechanics plays a critical role in various engineering and scientific applications, requiring robust analytical frameworks to understand flow dynamics. This study presents the development and application of a novel fluid mechanics analysis framework based on complex network theory. By representing fluid flow as a network, we extract key topological features to analyze flow patterns, detect anomalies, and improve predictive modeling. The proposed framework integrates graph-based metrics with computational fluid dynamics (CFD) simulations to enhance the understanding of flow structures in diverse fluid systems. Experimental validation demonstrates the effectiveness of the approach in capturing intricate flow behaviors and optimizing fluid-related processes. This research contributes to advancing network-based methodologies in fluid mechanics, offering new insights into flow analysis and engineering applications.

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Creative Commons Attribution 4.0 and The Open Definition

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Fluid Mechanics, Complex Network Theory, Computational Fluid Dynamics, Flow Analysis, Network-Based Modeling

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Creative Commons Attribution 4.0 and The Open Definition