Volume 11 | Issue 7 | July-2023

 Abstract

This article explores the various branches of applied ethics, a subfield of philosophy that deals with how moral concepts and principles are applied to real-world situations. Applied ethics extends the theoretical frameworks of moral philosophy into practical contexts, addressing ethical issues in fields such as medicine, business, the environment, and technology. The major branches discussed include bioethics, which focuses on ethical dilemmas in healthcare and medical research; business ethics, which evaluates moral standards in corporate governance and commerce; environmental ethics, which addresses the ethical relationship between humans and the environment; media ethics, dealing with the responsibilities and integrity of journalists; and legal ethics, which concerns moral obligations in the legal profession. Each branch brings unique challenges and requires nuanced approaches to balancing competing values like individual rights, societal good, and professional responsibility. This article critically examines these branches, highlighting their relevance in guiding ethical decision-making in contemporary society.

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 Keywords

Applied ethics, bioethics, business ethics, environmental ethics, media ethics, legal ethic.

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The rapid advancement of Artificial Intelligence (AI) is reshaping new venture creation and driving business innovation across various industries. This research paper explores the impact of AI on startups and established businesses, focusing on how AI technologies facilitate the development of new business models, enhance operational efficiency, and foster innovation. The study employs a mixed-methods approach, combining qualitative interviews with entrepreneurs and quantitative analysis of case studies involving AI-driven startups. Key findings reveal that AI significantly lowers entry barriers for new ventures by automating processes, improving decision-making, and enabling scalable solutions. Moreover, AI contributes to business innovation by generating novel products and services, optimizing customer targeting, and enhancing competitive advantage. However, the research also identifies challenges such as ethical considerations, data privacy issues, and the need for technical expertise. The paper concludes that while AI presents substantial opportunities for innovation and growth, it also requires careful management and strategic implementation to fully realize its potential. Recommendations include adopting best practices for AI integration and developing supportive policies to nurture AI-driven entrepreneurial ecosystems.

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Artificial Intelligence, New Venture Creation, Business Innovation, Startups, Automation, Decision-Making, Data Privacy, Competitive Advantage.

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K.G. Subramanyan (1924-2016), one of India's most influential modern artists, played a pivotal role in shaping contemporary Indian art through his eclectic approach, blending traditional Indian techniques and themes with modernist ideas. A painter, muralist, printmaker, sculptor, and educator, Subramanyan's work reflects his deep engagement with Indian culture, history, mythology, and politics. This research article explores the evolution of his art, his approach to storytelling, and his contribution to postcolonial art discourse.

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K.G. Subramanyan; Narrative Art; Allegory in Indian Art; Cultural Synthesis; Postcolonial Modernism; Indian Visual Traditions

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Abstract Edge-Computing is a transformative paradigm in data-processing, addressing the growing need for instant analytics and reduced latency in an increasingly interconnected world. This paper explores the integration of Edge-Computing with cloud infrastructure, elucidating its potential to revolutionize data processing and application deployment. By leveraging local computing resources, edge devices can perform instant data analytics, enhance responsiveness, and optimize bandwidth usage. Integrating Edge-Computing with cloud infrastructure offers a synergistic approach that combines the strengths of both paradigms. The cloud provides vast computational power and storage capabilities, while Edge-Computing ensures rapid data processing and reduced latency. This hybrid model enables a distributed architecture where edge nodes handle time-sensitive tasks, while the cloud manages large-scale data storage, complex analytics, and system coordination. The paper delves into various applications of this integration, highlighting its impact on sectors such as healthcare, manufacturing, and telecommunications. For instance, in healthcare to monitor patient vitals and immediate response in emergency situations. In manufacturing, it facilitates predictive maintenance and efficient resource management by analyzing equipment data on-site. Telecommunications benefit from enhanced network performance and reduced latency, leading to improved user experiences in applications like augmented reality and 5G networks. Furthermore, the research examines the challenges and considerations in implementing edge-cloud integration, including security concerns, data privacy, and interoperability issues. By addressing these challenges, the integration of Edge-Computing with cloud infrastructure promises to unlock new possibilities for innovation and efficiency in data processing.

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Edge-Computing, Instant Data Processing, Cloud Infrastructure, Latency Reduction, Data Analytics, Autonomous Vehicles, Smart Cities, Industrial IoT, Hybrid Model, Data Storage, Predictive Maintenance, Healthcare Monitoring, Telecommunications, Augmented Reality, 5G Networks

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Only absorption and emission phenomena involving only two or three levels of the system (atoms or molecules) are the focus of this study; dispersion phenomena are addressed at infrared frequencies. Retention (or discharge) and dissipating peculiarities have been examined traditionally in which the singular molecules affected by the connecting field are treated as driven consonant oscillators. While the classical theory is adequate for explaining the behavior of well-known microwave amplifiers and oscillators, it fails to explain the behavior of a complex atom or system of atoms, such as in maser-like devices. It is interesting to note that the elements of the interaction T-matrices are merely probability amplitudes and their conjugates. These elements can be identified as Kayley-Klein parameters, which have a close connection to quantum mechanics' concept of spatial rotation. The T-change strategy for a solitary two-level molecule has been stretched out richly to treat the association issue for a gathering for free or co-related two level frameworks. The Hamiltonian operator is obtained by adding the phase-dependent Hamiltonians for each individual atom, whereas the macroscopic T-transformation operator is constructed from the product of the T- operators for various constituent atoms. The state selection operator, the excitation and de-excitation operators, the inversion operators, and other relevant macroscopic operators are also included. can be built from the operator of individual atoms by applying quantum and statistical mechanics principles. While the theory for a single two-level particle follows the spin formulation, the assembly theory appears to be based on the general angular moment formalism.

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Classical Theory, Amplification process ,Quantum radiation Transition probability.

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Plotting is known as path finding or pathing. A computer program, is used for connecting the path between two locations. Being more of a useful maze-solving variation, Path finding or pathing is the plotting, by a computer application, of the shortest route between two points. It is a more practical variant on solving mazes. This field of research is based heavily on Dijkstra's algorithm for finding the shortest path on a weighted graph. A path finding approach fundamentally searches, beginning at one vertex in a graph, looking into nearby nodes until they reach the destination node, typically with the goal of locating the least expensive path. Although graph search techniques can also be used, viz. a breadth-first search, Depth-based, swarm based and other algorithms can also be used.

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Dijkstra's, Path finding algorithm, Greedy, Swarm, Breadth, Depth.

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The present paper intended to study the effect of preparation and motivation on self-confidence of undergraduate students in terms of their streams. In order to conduct the present study, 388 students of Semester-I were selected randomly from the Govt. colleges of Jammu tehsil. The tools for collecting data were self-constructed and standardized questionnaires assessing the three important behavioural attributes. The present study pointed out that there was significant effect of motivation on the self confidence but no such effect was found in terms preparation. Moreover, it was also found that Science and Arts undergraduate students were significantly different in terms of their motivation and self-confidence but no such difference was found in terms of their preparation.

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Motivation, Preparation, Self-confidence, Undergraduate Students

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This descriptive survey investigates the study habits of 150 high school students in Bengaluru District, Karnataka, employing the Study Habit Inventory (SHI) by Palsane & Sharma (2003). The study employs a simple random sampling technique and statistical analyses, including mean, standard deviation, and the independent t-test, with a significance level of 0.05. The findings highlight significant gender differences in study habits, with secondary school girls exhibiting more habits than boys. However, no significant variation is observed based on the medium of instruction (English vs. Kannada). Notably, a significant difference emerges in study habits based on school management, with private unaided high school students demonstrating higher study habits compared to their counterparts in private aided and government schools. These insights underscore the importance of tailored educational strategies and interventions to address distinct patterns in study habits among high school students.

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Study Habits, High School, Students, Relation, Significant

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This article delves into the legal nuances and sociological factors that influence the bail process for minors who are in legal trouble, examining the complex landscape of this system in India. With a foundation in juvenile justice and rehabilitation, the conversation threads through the Juvenile Justice (Care and Protection of Children) Act, 2015's provisions, highlighting the idea that bail for young offenders ought to be the standard rather than the exception. The problems of social stigma, insufficient legal representation, and overcrowding in juvenile homes are examined, leading to a review of possible remedies. The article envisions a way forward that integrates holistic juvenile justice policies, community engagement, and robust rehabilitation programs. By striking a delicate balance between accountability and compassion, the article advocates for a legal framework that not only upholds the rights of children in conflict with the law but also facilitates their reintegration into society, ensuring a fair and empathetic pursuit of justice.

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Juvenile Justice, Rehabilitation, Bail, Juvenile Homes

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This research article explores the innovative approaches to teaching English in engineering colleges in Hyderabad, a city known for its thriving information technology and engineering industry in India. English language proficiency is a crucial skill for engineering students due to the evolving nature of technology and its global reach. However, traditional teaching methods often fail to engage and motivate students, leading to ineffective language acquisition. The article discusses the challenges faced by students in acquiring English language skills and highlights the importance of integrating innovative teaching approaches. Through an extensive review of existing literature and secondary data research or qualitative research method, this article presents various innovative strategies such as Project-Based Learning, Content and Language Integrated Learning, technology integration, language labs, Communicative Language Teaching, and immersive learning techniques. It also examines the benefits and limitations of these approaches and provides recommendations for improving the English language education in engineering colleges in Hyderabad. The findings suggest that these approaches offer valuable opportunities to bridge the gap between the theoretical and practical aspects of language learning, promote student engagement, and develop the necessary skills for engineering students to excel in their future careers. The findings of this research will provide valuable insights for educators, curriculum developers, and policymakers seeking to enhance English language education in this specific context.

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English Language Education, Engineering Colleges, Innovative Approaches, Project-Based Learning, Content and Language Integrated Leaning, Technology Integration, Language Labs, Immersive Learning, Hyderabad

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