Volume 14 | Issue 4 |

 Abstract

Safeguarding justice and promoting equality among its people have always been a primary core objective of the State. By virtue of human's birth, they are inherently entitled to fundamental rights and freedoms, which cannot be altered or removed. Everyone in our country has the freedom to exercise all rights without any gender discrimination. Throughout history, we can see transgender individuals are also integral part of our society. They are also humans, entitled to acquire and enjoy rights without any barriers. Judiciary recognized them as third genders in NALSA v. Union of India. A legislation was also enacted, the Transgender Persons (Protection of Rights) Act, 2019 for the protection of their rights. But they are always excluded from the society and face problems in several spheres. The existence of social stigma makes this community isolated. This societal exclusion led to face inequality in the field of education, employment, and in attaining medical facilities. Hence, this paper by using doctrinal research methodology, study focuses on the role played by the trans community in our society by tracing the historical aspects, their battle to achieve third gender recognition, pros and cons of the legislation. Gaining acceptance from the society is an in tremendous task, only through the elimination of economic and social disparities it can be erased. A supportive space and an open-minded society combined with initiatives from the State will uplift the trans community by fostering inclusivity, ensuring equal rights and providing necessary welfare measures for their empowerment.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Transgenders, Social Exclusion, Constitutional Rights, Recognition, Measures

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The amalgamation of Artificial Intelligence (AI) into music has transformed the processes of composition, analysis, and pedagogy within the guru-shishya Parampara globally. However, the application of AI within Carnatic classical music has unique challenges due to the tradition's emphasis on the bhava (emotional expression) and the sadhana (disciplined practice). This paper examines whether AI can meaningfully understand or replicate bhava in Carnatic music and also explores whether AI-driven tools reduce the necessity of a sustained sadhana. Based on Carnatic musicology, aesthetic theory and AI based researches, this study contends that although AI can identify and reproduce the structural patterns associated with the raga and tala, it lacks the experiential, cultural, and embodied dimensions of bhava. In addition, AI tools are better understood as augmenting rather than replacing sadhana, as they enhance technical training while leaving an emotional connection and artistic maturity depending on the human experience. This paper concludes that the essence of Carnatic music remains fundamentally human, despite any technological advancements.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence, Bh?va, S?dhana, Carnatic music, Gamaka, R?ga, Manodharma.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

"A COMPARATIVE STUDY TO ASSESS THE KNOWLEDGE REGARDING NURSING CARE OF THE PATIENTS UNDERGOING CARDIAC CATHETERIZATION AMONG STAFF NURSES WORKING IN SELECTED PRIVATE AND GOVERNMENT HOSPITALS OF DISTRICT PATIALA, PUNJAB WITH A VIEW TO DEVELOP AN INFORMATIONAL BOOKLET."

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

"A COMPARATIVE STUDY TO ASSESS THE KNOWLEDGE REGARDING NURSING CARE OF THE PATIENTS UNDERGOING CARDIAC CATHETERIZATION AMONG STAFF NURSES WORKING IN SELECTED PRIVATE AND GOVERNMENT HOSPITALS OF DISTRICT PATIALA, PUNJAB WITH A VIEW TO DEVELOP AN INFORMATIONAL BOOKLET."

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Creative Commons Attribution 4.0 and The Open Definition

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Patient satisfaction is considered one of the key performance indices in evaluating quality of health services is patient satisfaction, more so in OPD, because it is the first contact point between patients and hospitals. This study aims to identify and analyse the key factors associated with patient satisfaction in OPD services. The study emphasises factors like waiting time, doctor-patient communication, personnel behaviour, cleanliness and availability of amenities. A well-structured questionnaire was used to gather primary data from patients receiving OPD care. Simple statistical techniques, such as percentage analysis and graphical depiction, were used to analyse the data. The study's conclusions show that although most patients are usually happy with the services they receive, a few elements have a big impact on their entire experience. Among these, waiting time and communication emerged as the most critical factors affecting satisfaction levels. Language barriers were also found to impact patient understanding and interaction with healthcare providers. The study highlights the importance of improving operational efficiency, enhancing communication skills, and providing patient-centred services. Lastly, Healthcare organisations can also enhance the quality of OPD services and guarantee a better patient experience by implementing the suggestions made in this research.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Patient Satisfaction, OPD Services, Healthcare Quality, Waiting Time, Communication

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The E-Waste Management System is a web-based portal that was created to facilitate the process of collecting, segregating, and recycling e-waste. It is very easy to register on this platform and create an account in order to book an appointment with an authorized recycler in your vicinity. The system allows the user to interact with the recycling center or the authorized recycler without much hassle, and it ensures eco-friendly and sustainable recycling processes for all its users. The major objective of this platform is to prevent environmental pollution by minimizing the environmental hazards due to incorrect e-waste disposal. The system also encourages people to recycle their e-waste and use sustainable methods for managing their electronic waste. The platform categorizes the different types of e-waste into various sections, such as household appliances, mobiles, computers, other industrial equipment, and batteries. One of the best features of this portal is that it maps e-waste collection vendors in specific areas.

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Creative Commons Attribution 4.0 and The Open Definition

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E-waste Classification: Should you classify various categories of electronics.

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Creative Commons Attribution 4.0 and The Open Definition

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The fast pace of electric cars (EVs) adoption in India is an important move towards sustainability. The increasing popularity of EVs in Uttar Pradesh is linked to incentives by both the state and central government (e.g., road tax exemption, waived registration fees, etc.) as part of schemes like Faster Adoption and Manufacturing of Electric Vehicles (FAME) India. As the proportion of EVs and government subsidies in the form of incentives and tax exemptions increases with a goal towards ensuring sustainable mobility, it has an impact on the fiscal state of the state and EVs acceptance among various categories of vehicles. In this paper, we will look into two areas of the EV transition in Uttar Pradesh: how much fiscal spending can be estimated based on the amount of EV-related subsidies and tax exemptions, and which of the segments of EVs are being most impacted by the incentives provided. The study estimates the direct costs incurred by the state in terms of financial incentives by using secondary data on the FAME India dashboard, VAHAN vehicle registration portal, and the UP Budget documents. Fiscal spending to encourage EV adoption is calculated with the help of a formula that is determined by the policy guidelines. The findings suggest that even with continued provisioning of EV subsidies and exemption from road tax, state governments still have a lower impact on fiscal revenue due to factors such as lower adoption of EVs, the amount of subsidy allotted to different segments of EVs, and road tax exemption provisioned as per policy. The results highlight the significance of the balance between environmental aspirations and financial stability and indicate that a gradual and data-driven method should be used to encourage the electrification of mobility in Uttar Pradesh.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

E-Vehicle, FAME, VAHAN, Government Policy

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study examines the effectiveness of virtual hiring practices in post-COVID India. It evaluates recruitment efficiency, cost-effectiveness, quality of hire, and candidate experience using a mixed-method approach. Findings suggest that virtual hiring reduces time-to-hire and cost-per-hire while maintaining acceptable hiring quality. However, challenges such as technological barriers and limited interpersonal assessment persist. The study concludes that hybrid hiring models are most effective.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Virtual Hiring, Recruitment Efficiency, Post-COVID HR Practices, Digital Recruitment, Artificial Intelligence in HR, Candidate Experience, Cost-per-Hire, Time-to-Hire, Hybrid Recruitment Model, Talent Acquisition in India

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Creative Commons Attribution 4.0 and The Open Definition

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This field study investigates digital learning platforms (e.g., Coursera, Udemy, LinkedIn Learning) and AI tools (e.g., ChatGPT, Grammarly) in enhancing employability skills among students and early-career professionals. Using a descriptive-analytical mixed-methods approach, surveys of undergraduates aged 20-25 revealed high adoption, with most frequently using platforms and reporting gains in independent learning, job knowledge, tech adaptability, problem-solving and productivity. Nearly all view these tools as boosting employability, though challenges like AI inaccuracies, biases and ethics persist, urging personalized training and safeguards.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital Learning Platform, AI Tools, Employability Skills, Workforce Readiness

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Creative Commons Attribution 4.0 and The Open Definition

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Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords: Nursing students, confidence level, absenteeism, clinical skill performance, self-efficacy.

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Creative Commons Attribution 4.0 and The Open Definition

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The study uses Yogendra Singh's view of caste as a lasting system of hierarchy. The study looks at how caste creates differences in organisations in the Delhi NCR region. The research questions the idea that corporate environments, in areas where work outside of caste, rely on merit based norms. The research examines caste diversity, job mobility and daily workplace practices. I used a numbers-based design to collect data from 25 employees, with caste backgrounds in two corporate places--a tech firm in Noida and an advertising agency in Gurugram--through a structured questionnaire. The study takes a perspective that focuses on groups that have been left out before. The study finds both open caste-based practices. The study checks how job mobility is for groups that have been left out before. The study also asks employees what they think about action in the sector. The study links these views to talks about merit and fairness. Using Pierre Bourdieu's idea about how society repeats itself, I see that the study shows how structural inequalities and unequal access to resources still shape hierarchies. The study is small. The study offers insights into how caste resurfaces in seemingly neutral corporate settings. The study also joins the talk about making sure inclusion and fairness happen in the sector.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Caste and Corporate Sector, Meritocracy and Inequality, Occupational Mobility, Affirmative Action, Social Reproduction of Inequality.

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Creative Commons Attribution 4.0 and The Open Definition