Volume 11 | Issue 11 |

 Abstract

The value of education cannot be underestimated. Literacy is a bridge from misery to hope. Literacy is a fundamental human right and foundation for lifelong learning. It is important to social, human and educational development in its ability to transform lives. A literate society is core of developing a society free of poverty. As per Population Census of India 2011, Literacy rate of India has shown an improvement of almost 9.2%. It has gone up to 74.04% in 2011 from 65.38% in 2001, thus registering an increase of over 9% in last 10 years. The nation suffers from a wide gender disparity in literacy rate i.e. 82.14% for men and 65.46% for women. This study intends to bridge the gap in literacy through formulating an approach that can enhance the level of literacy of the district Barabanki and solve the problems by adopting an innovative initiative to drive economic growth.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Literacy rate, Educational development and disparity, Gender Gap and Disparity Index etc.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The purpose of this study is to investigate the factors affecting the decision of buying mobile phone devices in Bengaluru. In order to accomplish the objectives of the study, a response of 103 users were taken by using a google form questionnaire/ survey. Both primary and secondary data were explored. Moreover, 6 important factors namely price, social group, product features, brand name, durability, and after sales services were selected and analyzed through the use of correlation and multiple regressions analysis. From the analysis, price, and brand name and after sales services are regarded very important by the users. Most of them are using their phones for about 2-4 years and they buy phones mostly if there is a necessity. So, the study suggested that the mobile phone sellers should consider the above mentioned factors to equate the opportunity.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Consumer buying behavior, consumer satisfaction, mobile brands, price, promotion, brand preference, consumer purchase decision.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study explores the role of the federal government in policing in Pune, India. The study is structured around three primary objectives. First, it delves into the histoire of the federal government, and its role to improve and coordinate policing in Maharashtra when special reference is given to Pune region. Here, it traces the development of the involvement of the federal government over time and the pivotal historical reforms that have contributed to its evolution. Second, it analyses the impact of the federal government's policies, and its interventions on the efficiency and effectiveness of policing in Pune by shedding light on the specific measures, outcomes, as well as the challenges faced by a city to associate with the federal norms in the era of technology and post-modernistic culture. Lastly, the paper identifies and characterizes the key stakeholders engaged in the federal government's policing efforts in Pune, elucidating their roles, responsibilities, and their influence on policing strategies and outcomes. Through a meticulous synthesis of existing literature; especially the selected works of Salil Desai, this paper strives to contribute to understand the impact of role of the federal government in policing within the unique socio-political context of the Pune region and the difficulties faced by the state government to handle cases, despite appropriate assistance given by the central government.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Federal government, Pune, Histoire of Federalism of Policing at Pune, Salil Desai

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In today's increasingly digital world, the verification of documents and identities is paramount across a multitude of industries, from finance and healthcare to legal and education. Traditional methods of document verification often involve timeconsuming and costly processes, which are vulnerable to fraud and data breaches. To address these challenges, blockchain technology has emerged as a revolutionary solution, offering a decentralized, secure, and tamper-proof platform for digital document verification.This paper explores the concept of Digital Document Verification using blockchain technology. It delves into the fundamental principles of blockchain, emphasizing its distributed ledger architecture and cryptographic security features, which are crucial for building trust and ensuring the integrity of verified documents. Furthermore, this research elucidates how blockchain's immutability and transparency contribute to a robust framework for document verification. 1. Identity Verification: Blockchain enables the creation of immutable digital identities, making it possible to securely verify individuals' identities without the need for centralized intermediaries. Supply Chain Documentation: Businesses can track and verify the authenticity ofsupply chain documents, such as invoices, contracts, and shipping records, reducing fraud and errors.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Supply Chain, Blockchain, Document Verification, Decentralization.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Schizophrenia is a complex and debilitating mental health disorder that affects millions of individuals worldwide. Managing and recovering from schizophrenia is a multifaceted challenge that involves various factors. This article delves into the pivotal role of family and social support in the lives of individuals living with schizophrenia. By investigating the impact of these support systems on the management and recovery process, we aim to shed light on the importance of a strong support network for those facing this condition. The article reviews the existing literature, examines the challenges and benefits of family and social support, and discusses the implications for improving the quality of life for individuals living with schizophrenia.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

schizophrenia.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The purpose of this study was to find out the mean difference between Working and Non-working women in life satisfaction and mental health. The total sample consisted of 200 women taken as a sample from Nanded district. The research tool for mental health was measured by Dr. Kamlesh Sharma and Dr. B. R. A Research institute Indore and for Life Satisfaction scale by Q. G. Alam and Ramji Srivastava is used in the study. the 't' test was applied to check the significance level of mental health and life satisfaction in working and non-working women to check the correlation method used. Results revealed a significant difference in mental health and life satisfaction with respect to both working and non-working women on life satisfaction and mental health.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Women's, Life satisfaction, Mental health

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ladsr 'kCn& laLd`fr] vlfg".kq] izek.k] fo'o] Hkkjrh;

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The United Nations Security Council (UNSC) has been of unique significance and authority in serving the conservation of international peace and security, which puts it in a position integral to the functioning of international law and international relations. Yet, it is extensively viewed as having had a mixed track record. At a time when the Security Council is considered to have played a very critical role in remedying some transnational issues, it is also viewed to have failed in dealing with several countries. Such a breakdown is considered by many to be a direct result of the decision-making methodology of the council, explicitly the veto power granted to the permanent members of the Security Council. Therefore, such power has been the subject of frequent calls for Security Council reforms, which in some cases presented its abolition as one of the options to deal with what they deem as dysfunctions of the council. This paper attempts to address the debate concerning veto power by outlining its justification and analyzing both sides of the debate in relation to its reform. It attempts to present a common ground for veto reform that could be more viable for implementation in the presence of diverse obstacles in the current dynamics of international relations.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

United Nations, Security Council, Veto, Permanent Members.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Lip Reading Recognition System is a technology that uses Artificial Intelligence to recognize words or speech by visual interpretation of face, mouth and lip movement without involvement of audio. Imagine you are talking to someone, and they can't hear what you're saying. They might try to understand your words by watching how your lips move. That's called lip reading. This task is difficult as people use different dictions and various ways to articulate a speech. The system works by using a camera to capture a video of a person's face while they are speaking. It's like a recording a video of their lips moving. The video is then analyzed by an AI algorithm that can identify lip movements, extract features, train the classifier by giving user's lip movement frames sequences as input and will identify said word and finally translate them into words. It's not always perfect, but it's often quite accurate. This can help deaf and mute individuals in understanding spoken language through visual cues of the speaker's lips and addressing communication barriers in their daily lives. It can also be used to improve privacy and security in applications for detecting suspicious behavior. The survey focuses on deep learning related approaches such as convolutional neural networks (CNN) [6], recurrent neural networks (RNN) [15] and their variants which have been proven to be more fruitful for both feature extraction and classification. This paper provides comparisons of different audio-visual databases, various algorithmic techniques by highlighting their accuracies, feature extraction methodologies and classification networks.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CNN , 3DCNN , Machine Learning , LRW

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Artificial intelligence developments are assisting researchers in finding solutions to challenging issues, such programming video game automobiles to drive themselves. In this work, computer characters were taught to race on a virtual track using the learning method known as reinforcement learning utilizing specialized software called Unity ML-Agents. We experimented with various training techniques for these computer characters and discovered that Proximal Policy Optimization was the most effective. With relatively little error, our computer-generated figures were able to race around the course using this technique. Then, we added barriers to the track, such as barrels and cones, and trained our computer-generated characters to avoid these barriers using a distinct technique called behavioral cloning. This strategy actually worked.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

reinforcement learning; autonomous driving

  License

Creative Commons Attribution 4.0 and The Open Definition