Volume 11 | Issue 7 | July-2023

 Abstract

The Indian legal system is built on core values like justice, equality, liberty, and accountability, aiming to ensure both access and ease of justice. Rooted in cultural and ethical traditions, legal education in India is seen as a powerful tool for creating a just society by developing skilled, socially responsible lawyers. Quality legal education emphasizes ethics, practical skills, and interdisciplinary learning.The evolution of clinical legal education, especially with the integrated law programs, has strengthened this goal by combining practical training with legal aid initiatives. Law school clinics and programs now play a key role in helping marginalized communities through legal support, awareness, and paralegal training. The article explores the challenges faced by law schools in promoting access to justice and how legal education can advance access to justice and support the creation of a more inclusive and equitable society.

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 Keywords

Law School, Legal Education, Legal service, Lok adalath,Legal aid

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Chromium (III) Complex, Pyridine-2-carbaldehyde Thiosemicarbazone (Py-2-TSC), UV-Visible Spectrophotometry, Complex Stability, Stoichiometry, Dissociation Constant, Interference Study

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Traffic lights play such an important role in traffic management to control the traffic on the road. Situation at traffic light area is getting worse especially in the event of emergency cases. During traffic congestion, it is difficult for emergency vehicle to cross the road which involves many junctions. This situation leads to unsafe conditions which may cause accident. Traffic police gave authority to emergency vehicle driver to activate the traffic light remotely is developed and designed to help emergency vehicle crossing the road at traffic signal during emergency situation. This system used Peripheral Interface Controller (PIC) to program a priority based traffic light controller for emergency vehicle. During critical cases, emergency vehicle such as ambulance can activate (trigger) the traffic light signal to change from red to green that's to make clearance for its path automatically. By help of Radio Frequency (RF) the traffic light will turn back to its normal operation when the ambulance finishes crossing the road.

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SOLAR POWERED TRAFFIC CONTROL SYSTEM

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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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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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