Volume 11 | Issue 11 |

 Abstract

The paper aims to analyze the study of the recruitment and selection process at B. M. House (INDIA) Limited. The process of recruiting and selecting all categories of employees into both private and public organization has been a matter of concern to many and needs attention. It is the wish of every organization to attract the best human resource in order to fulfill organization needs and got excellent performance by appropriate candidates. There are various methods available regarding the recruitment of candidates in the field. The objective of this paper is to understand the relationship between recruitment and selection process of an organization and also its link to the organization growth and effectiveness. The data was collected through well-structured questionnaires.

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 Keywords

B. M. House, recruitment and selection, organization, HR

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This paper attempts to understand sociological and political processes through the lenses of ecology in Early India. Forest has been the earliest residing place but with the emergence of settled life, the idea of Gr?ma emerged. Now forest looked like a place of danger and wilderness. However, this perception was not static but shifted with the socio-economic and political scenario. This paper is a text-based study. The Main theme in this paper is the representation of forest, its residents, and different habitation zones given in different Early Indian texts.

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 Keywords

Dharma, Madhyadesha, Agrahara, Ecology, Grama, Jati, Vana, Kshetra.

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Lithium-ion batteries, pivotal for the proliferation of portable electronics and the burgeoning electric vehicle market, have emerged as a transformative era. However, their environmental implications throughout the lifecycle gift substantial concerns. From extraction to disposal, the unfavourable results are obvious. Mining for lithium, a critical thing, needs giant water consumption, potentially leading to freshwater depletion and habitat disruption. Furthermore, the manufacturing method includes electricity-in depth procedures, emitting greenhouse gases and contributing to pollutants. Disposal poses a task as improper strategies launch poisonous elements, endangering soil, water, and air nice. Sustainable mining practices, green recycling tasks, and innovation in battery era are vital to mitigate these environmental repercussions. Striking a balance among harnessing the advantages of lithium-ion batteries and addressing their environmental footprint is vital to foster a sustainable power destiny.

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Technology, Sustainability, Innovation, Environment, Energy, Recycling

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The rise in domestic violence against women in India, especially in the pandemic and post-pandemic period, is an alarming issue that needs immediate attention. The dominant explanation for this emerging trend is structural inequality, internalized patriarchy, and misogyny. Previous studies have shown that factors such as the patriarchy of society, the hierarchy of relationships, the perception of women as housewives, child bearers and caregivers and the lower sex, the existence of norms that encourage violence in society, the existence of a model of violence. domestic violence in families is influenced by instability in relationships, excessive male power, poverty, preference for male offspring, alcohol and drug abuse by the male partner, and economic imbalance. This study attempted to identify the relationship between socio-personal factors and domestic violence against women. The study revealed that there is a significant relationship between the education level, caste, age, household income, family type and nature of marriage of the victims.

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patriarchy, domestic violence; marital violence; physical violence; emotional violence; social violence; economic violence; sexual violence; socio-personal factors

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Network crypto currencies have emerged as an important investment platform. They work on the Distributed Ledger technology known as Block chain. Cryptocurrencies are volatile in nature as their values change rapidly. That's why they thought of creating a platform to monitor the performance of crypto-currencies. The platform will monitor the performance of cryptocurrencies and provide information on changes in the price of cryptocurrencies. We used some popular programming languages python to develop the platform, as well as an API to access crypto-currency data. The platform we built provides insight into the functionality of cryptocurrencies with an attractive GUI. The crypto-currency data we receive is updated on a daily basis, and includes price changes on a 24-hour and 1-week basis. This includes the valuation of crypto-currencies. The main goal of building this platform is to provide the user with easy access to crypto insights. We designed our UI in such a way that it would be easy for the user to find each page without any problems.

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 Keywords

Editor, API, Cryptocurrency, Bitcoin, Bitpay.

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Covid-19 pandemic, no doubt has affected all spheres of human life but highly impacted the field of education worldwide . All education institutes get closed due to lockdown so that there will be no chance ofspreading viral infection among students which leads to jeopridising of whole education system. The consequence of this that there was sudden change in whole education system and due to these changes educational institutes are forced to shift from traditional teaching to online platforms to minimise the academic loss. Yet the success and effectiveness of online education is on questionmark in developing countries like india where the digital divide of society poses a seriouss challenge. The present research paper focus to study the perception of secondary school students towards online education. This paper wants to investigate the answers of research questions like what kind of benefits and challenges faced by secondary school students in online education, how was their attitude towards online teaching and what kind of remedial measures can be adopted to overcome the challenges faced by them in online education in pandemic . For this the sample includes 52 secondary school students from 7 schools comprising both private and government schools in kathua through purposive sampling who takes education in online mode. The tool for data collection consists of self constructed questionaaire by using google form. The findings of the study are online improved technical skills of students, material is available 24x 7hrs, flexible in nature, guidance and counselling is needed to stay motivated , it saves the students from risk of transmission of covid- 19 , students don't believe online classroom can replace traditional classroom teaching.

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 Keywords

Perception of secondary school students , E- learnig education,covid19, benefits and challenges.

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Technology breakthroughs and shifting library user needs are driving the continual transformation of today's libraries in a rapidly evolving digital world. The main features of this change and its effects on libraries are witnessed. Libraries have changed significantly as a result of digitalization. By digitizing manuscripts, books, and other materials, libraries have improved accessibility and grown their collections. With the advent of digital libraries, users can now access an extensive array of resources from any location in the globe, removing geographical limitations and creating new avenues for study and research. Physical books, periodicals, and other resources have always been accessible through libraries, which have functioned as knowledge reservoirs. Still, libraries must change in order to stay relevant in the digital age due to the growth of the internet and the abundance of digital content. This paper discusses about the concerns of digital technology in academic libraries, its opportunities in digital world or academic libraries and review about the various ways that libraries are adapting their physical spaces to make more space for digital services and resources.

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ADVANCEMENT OF ACADEMIC LIBRARIES TO DIGITAL WORLD TRANSITION: A REVIEW

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This research paper explores the feminist discourse embedded in Mahesh Dattani's play, "Bravely Fought the Queen." He is known for his nuanced exploration of social issues, and this paper delves into the intricate portrayal of gender dynamics within the dramatic landscape of his play. The analysis focuses on the female characters, examining their agency, struggles, and the intersections of gender, class, and societal expectations. The study employs a feminist theoretical framework to dissect the characters' roles and relationships, shedding light on how the play challenges traditional gender norms and stereotypes. He employs dialogue, symbolism, and narrative structure to convey the complexities of women's experiences in a patriarchal society. Furthermore, the research investigates the socio-cultural context in which the play is situated, exploring how Dattani's work reflects and responds to contemporary discussions on feminism and women's rights in India. By examining the characters' individual journeys, the paper seeks to unravel the layers of resistance and resilience displayed by the women in "Bravely Fought the Queen." This Analysis contributes to the broader understanding of Dattani's dramatic works and provides insights into the playwright's engagement with feminist discourse. The analysis not only unveils the challenges faced by the female characters but also underscores the transformative potential of their narratives in challenging and reshaping societal norms.

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 Keywords

Patriarchal society, socio cultural context, feminism, transformative potential.

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Abstract: This project aims to develop a robust system for automated language detection leveraging the power of Natural Language Processing (NLP) techniques. Language detection is a fundamental task with applications ranging from content filtering and information retrieval to multilingual user interfaces. Our approach involves the utilization of advanced machine learning algorithms and linguistic features to accurately identify the language of a given text. The system will employ a combination of statistical methods, such as n-gram analysis and frequency-based models, along with machine learning algorithms trained on diverse multilingual datasets. Pre-processing techniques will be applied to handle variations in spelling, grammar, and character encoding. Additionally, the model will be designed to efficiently handle short and noisy text inputs. The project's significance lies in its potential to enhance the efficiency of multilingual applications, improve content classification, and contribute to the development of more inclusive and accessible digital interfaces. The effectiveness of the proposed system will be evaluated through comprehensive testing on a diverse set of texts in various languages, ensuring its adaptability and accuracy.

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 Keywords

Language Identification, Natural Language Processing, Translation, Language detection API

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Creative Commons Attribution 4.0 and The Open Definition

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Emotions play crucial role in human communication, influencing how information is conveyed and understood. Recognizing emotions from speech is a challenging yet essential task with various applications, including human-computer interaction, sentiment analysis, and mental health assessment. This paper presents an overview of Speech Emotion Recognition (SER) using Deep Neural Network techniques. Additionally, we review various evaluation metrics commonly used in SER research, such as accuracy, F1-score, and confusion matrices, to assess the performance of SER models objectively. Overall, this research contributes to growing body of knowledge in SER and serves as a comprehensive resource for researchers, practitioners, and developers interested in leveraging machine learning techniques to recognize emotions from speech signals.

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 Keywords

: Convolutional Neural Network(CNN), Emotion Detection ,Speech Emotion Recognition, DeepLearning, Mental Health Assessment

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Creative Commons Attribution 4.0 and The Open Definition