Volume 12 | Issue 10 |

 Abstract

Artificial Intelligence is the new synonym for technology in today's era at the global level. With the complex combination of software, programming, hardware, and other tools, artificial intelligence has become one of the most powerful weapons in these times. It will not be wrong to say that there is hardly any industry or sector left where artificial intelligence has not been infused. From online shopping, to net-banking, to online match making, artificial intelligence is omnipresent. There are different perceptions, beliefs, thought processes, responses of customers and users towards artificial intelligence. On one hand some customers are quite positive with the new technology for the advantages and ease of work it bring in with itself, and on the other hand many are concerned regarding the possible risks and threats associated with artificial intelligence in the form of frauds, and theft of data. This paper will enunciate upon the customers' perception towards artificial intelligence, the benefits and risks associated with the use of this technology in everyday life, and also the scope of the same.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Artificial Intelligence, Technology, Customer, Perception

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Creative Commons Attribution 4.0 and The Open Definition

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Financial accounting plays a crucial role in corporate governance by providing stakeholders with the necessary financial information to assess the performance, financial health, and risks associated with an organization. This paper discusses the essential functions of financial accounting in corporate governance, emphasizing transparency, accountability, and compliance with regulatory standards. It also examines the challenges faced and the importance of financial statements in decision-making processes for stakeholders such as investors, regulators, and board members. Pictures are included to illustrate key concepts such as the governance structure, the flow of financial reporting, and accountability mechanisms.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Finance, Corporate governance

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Creative Commons Attribution 4.0 and The Open Definition

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Neal Shusterman's Challenger Deep offers a compelling exploration of mental illness, particularly depression. The protagonist, Caden, navigates a tumultuous inner world marked by overwhelming darkness and despair. This paper delves into the critical role of social and human connections in Caden's mental recovery. By examining the significance of his relationships with family, friends, and even strangers, the analysis highlights how these connections provide vital support, understanding, and hope that ultimately contribute to Caden's journey toward healing. Through a close examination of the novel's narrative, this study demonstrates the transformative power of human connection in the face of mental health challenges.

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 Keywords

Mental Health, Depression, Social Support, Emotional Recovery, Professional Care, Empathy, Compassion.

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Creative Commons Attribution 4.0 and The Open Definition

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This paper is written to identify the services in district public libraries in Uttar Pradesh. Knowing the history, establishment, numbers of library staff, services. The main purpose of this paper is all knowledge about the district public libraries in Uttar Pradesh such as newspapers, magazines, e-books, print books, e-library, and atmosphere of the library. Many people do not know which types of sources are available in district public libraries and which types of users can reach and study in the district public libraries of U.P. Another target of this paper is the bringing attention of the state government and its related officers' in the district public libraries. Many types of demerits findings in the district public libraries such as staff and librarians seat are vacant for long times without librarians and staff district public libraries can not run smoothly and not provide services on the basis of without discrimination of cast, age, gender, locality, language. Public libraries play a crucial role in promoting literacy, access to information, and community development. This article examines the state of public library services in the districts of Uttar Pradesh, focusing on their accessibility, resources, community engagement, and challenges. The research highlights the importance of these libraries in fostering education and providing a platform for lifelong learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Public Library, U.P. Public Library Act, District Public Library Committee.

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Creative Commons Attribution 4.0 and The Open Definition

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The National Institutional Ranking Framework (NIRF), established in 2015 by the Ministry of Education, serves as a critical tool for ranking higher education institutions (HEIs) in India based on multiple performance indicators, including teaching quality, research output, and outreach. Libraries, as central knowledge hubs, have a significant impact on the academic and research environments of these institutions, playing a vital role in their NIRF rankings. This paper examines the multifaceted contributions of libraries to NIRF's key parameters, particularly in Teaching, Learning & Resources (TLR) and Research and Professional Practice (RP). The evolving role of digital libraries, open access resources, and research data management is highlighted, emphasizing how libraries foster innovation, support academic growth, and enhance institutional perception. The paper concludes by underscoring the indispensable role of libraries in advancing research output, improving academic quality, and positively influencing NIRF rankings.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

NIRF, higher education, libraries, research output, institutional ranking, digital resources.

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Creative Commons Attribution 4.0 and The Open Definition

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TO ASSESS THE EFFECTIVENESS OF THE INFORMATION BOOKLET ON KNOWLEDGE REGARDING ROAD TRAFFIC RULES AMONG ADOLESCENTS (13-18 YEARS) IN SELECTED URBAN SCHOOLS

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KNOWLEDGE ,ADOLESCENT

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This paper explores the complex interplay between ethnicity and national identity in Easterine Kire's Bitter Wormwood, a novel set against the backdrop of the Naga insurgency in Northeast India. The study examines how Kire portrays the tension between ethnic identity and the imposition of a national identity by the Indian state. By focusing on the lived experiences of the Naga people, the paper highlights how ethnic consciousness and the struggle for self-determination clash with nationalist ideologies. Kire's narrative reveals this conflict's emotional and psychological toll, underscoring themes of displacement, resistance, and the search for belonging. The analysis draws on the notion of ethnonationalism to discuss how Bitter Wormwood critiques the homogenizing tendencies of nationalism while affirming the resilience of ethnic identity. This paper contributes to the broader discourse on identity politics and the challenges of multicultural nation-states in maintaining unity without erasing the distinctiveness of marginalized ethnic groups.

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Identity, Politics, Nationalism, Naga, Ethnicity.

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: The objective of the study is to find out the differences with Respect to Various Personality Dimensions among High, Average and Low Achievers students of East Khasi Hills District, Meghalaya. From the findings it can be observed that the various personality dimensions do make a difference among High, Average and Low Achievers students.

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords: Achievement, Academic achievement, Personality Dimensions, High achievers, Average achievers and Low achievers.

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Creative Commons Attribution 4.0 and The Open Definition

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: As cities get bigger and people want more clean energy solar power becomes a key answer. This study looks at how well two-sided solar panels work compared to regular one-sided panels using MATLAB computer tests. We found that two-sided panels make a lot more energy because they can catch light from both sides showing, they could be good for city energy plans. Besides the computer tests, we also check how these panels do in real life, like with changing sunlight and shiny surfaces you find in cities. The chance to make more energy could mean less land is needed for solar setups, which matters a lot for cities without much space. Also, two-sided panels look better, which helps when putting clean energy stuff in crowded areas. Our work shows it's important to put money into new solar tech as part of a bigger plan for clean energy dealing with both nature and city planning needs.

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 Keywords

bifacial, efficiency , gain factor, monofacial

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Sonar rock vs mine prediction is a machine learning problem that uses sonar data to distinguish between rocks and mines. The goal is to develop a model that can accurately classify objects based on sonar return data. Some machine learning algorithms that can be used for sonar rock vs mine prediction include: logistic regression, random forests, k-nearest neighbours, support vector machines, and deep neural networks. In marine operations, sonar devices are essential, especially for finding submerged objects like rocks and mines. Ensuring maritime safety and security requires the ability to distinguish between these things with accuracy. We provide a thorough comparison of machine learning algorithms in this research study to help determine if sonar returns are indicative of rocks or mines. Using a dataset of sonar sound characteristics, we assess several supervised learning algorithms: random forests, k-nearest neighbours, support vector machines, and deep neural networks. We examine the models' performance in terms of F1-score, recall, accuracy, and precision in classification. We also investigate how feature selection strategies and hyperparameter adjustments affect the performance of the model. By means of comprehensive testing and analysis, we offer insights into the effectiveness of different machine learning approaches for sonar-based object classification, ultimately contributing to enhanced maritime security and underwater navigation systems.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

SONAR, Underwater Object Classification, Rock Detection, Mines Detection, Supervised machine learning, Feature Selection, Hyperparameter Tuning.

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Creative Commons Attribution 4.0 and The Open Definition