Volume 9 | Issue 8 |

 Abstract

Water quality is important from health, environment as well as economic point of view. Treated water reuse is associated with some potential risks especially when the treatment is not adequate. The present study aims to determine the corrosive and scaling potential of secondary treated wastewater used in Hanumangarh. In this study, secondary treated water from SARAS dairy and GB sewage treatment plant, Hanumangarh was collected for a period of one year. Langelier Saturation Index (LSI) and Aggressive Index (AI) were calculated using various water quality parameters. It was found that nature of treated water was from slight corrosion to slight scale with overall faint scale coating. The concordance between the analysis of chemical water quality and national standards could not be sufficient to confirm the water quality balance in terms of corrosion and scaling potential.

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 Keywords

secondary treated wastewater, corrosion indices, scaling potential, LSI, AI.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Iris Murdoch, renowned for her dual role as both a novelist and philosopher, challenges modern moral philosophies through her literary works. This research paper examines how Murdoch critiques the dominant ethical frameworks of the 20th century--particularly existentialism, utilitarianism and behaviourism--by integrating her philosophical ideas into the narratives and moral dilemmas of her characters. Analysing key novels such as The Sea, The Sea, The Bell and The Black Prince, this paper seeks to reveal how Murdoch advocates for moral realism, the existence of objective goodness, and the importance of attention and moral perception as counterpoints to modern ethical relativism and subjectivity.

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 Keywords

Existentialism, utilitarianism and behaviourism, ethical relativism, attention, self- transcendence and objective goodness

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 Abstract

Healthcare systems across the globe are increasingly strained by rising patient demands, escalating costs, and the necessity for efficient resource utilization. In this context, the adoption of data-driven approaches for healthcare resource management has emerged as a transformative strategy, offering the potential to optimize the allocation of critical resources such as hospital beds, medical staff, and equipment. This research research examines the implementation of a data-driven resource management system in a large urban hospital, providing a comprehensive case study that illustrates the system's impact on operational efficiency, cost reduction, and patient satisfaction. The study details how the hospital integrated diverse data sources, including electronic health records (EHRs), patient admission logs, and staffing schedules, into a centralized database. Utilizing advanced predictive analytics and machine learning algorithms, the system was able to forecast patient demand, optimize resource allocation in real-time, and ensure that resources were deployed where they were most needed. The results of the implementation were significant: the hospital saw a 15% increase in bed occupancy rates, a 10% reduction in patient wait times, a 12% boost in staff productivity, and a 5% reduction in operational costs. Moreover, patient satisfaction improved by 8%, underscoring the positive impact of the optimized resource management on patient care. However, the study also identifies several challenges associated with implementing data-driven systems, such as the need for high-quality data, the importance of gaining user trust and adoption, and the ethical considerations inherent in algorithm-driven decision-making. The case study highlights the importance of addressing these challenges through robust data governance, effective change management, and ensuring fairness and transparency in resource allocation processes. This research contributes to the growing body of literature on data-driven healthcare by providing empirical evidence of the benefits and challenges associated with such systems. It argues that while data-driven approaches hold significant promise for enhancing healthcare resource management, their successful implementation requires careful planning, ongoing evaluation, and a commitment to ethical practices. As healthcare systems continue to evolve, the insights from this case study can inform future efforts to optimize resource management and improve patient outcomes through the strategic use of data and analytics.

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 Keywords

Healthcare resource management, Data-driven approaches, Predictive analytics, Machine learning algorithms, Operational efficiency, Patient demand forecasting, Resource allocation optimization, Patient satisfaction, Data integration, Ethical considerations in AI.

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 Abstract

Microservices architecture has emerged as a dominant design paradigm for building scalable, resilient, and flexible applications in today's cloud-native environments. Unlike traditional monolithic architectures, microservices break down applications into small, independent services that can be developed, deployed, and scaled independently. This approach offers significant benefits, particularly in terms of scalability, which is crucial for handling the growing demands of modern applications. This paper explores various microservices design patterns and their impact on scalability. Design patterns, such as the API Gateway, Circuit Breaker, Service Discovery, and Event Sourcing, are essential in addressing the challenges that arise in microservices architectures, including service communication, fault tolerance, and data consistency. By implementing these patterns, organizations can enhance the scalability of their applications, ensuring that they can efficiently manage increased workloads without compromising performance or reliability. The API Gateway pattern, for instance, plays a pivotal role in managing client requests and routing them to the appropriate microservices. This pattern not only simplifies communication but also allows for the independent scaling of services, enabling better resource utilization. Similarly, the Circuit Breaker pattern helps in maintaining system stability by preventing cascading failures during high-load conditions, thereby supporting scalable and resilient operations. Service Discovery is another crucial pattern that facilitates dynamic routing and load balancing, which are vital for maintaining performance as the number of services increases. By enabling services to register and discover each other automatically, this pattern ensures that microservices can scale horizontally with minimal manual intervention. Additionally, Event Sourcing offers a powerful mechanism for managing state and ensuring data consistency across distributed services, which is often a challenge in scalable microservices architectures. While these design patterns significantly enhance scalability, they also introduce complexities, particularly in areas such as distributed data management, latency, and system coordination. The paper discusses these challenges and provides insights into how they can be mitigated through best practices and advanced architectural strategies. For instance, adopting a polyglot persistence approach and implementing eventual consistency models can help address the challenges of data management in a scalable microservices environment. Furthermore, the paper examines case studies from various industries, illustrating how organizations have successfully leveraged microservices design patterns to achieve scalable solutions. These real-world examples underscore the practical benefits and challenges of adopting microservices, offering valuable lessons for organizations looking to enhance their systems' scalability. In conclusion, microservices design patterns play a critical role in determining the scalability of modern applications. By carefully selecting and implementing these patterns, organizations can build systems that not only scale efficiently but also remain resilient and flexible in the face of evolving business needs. The ongoing evolution of microservices architecture and its associated design patterns will continue to drive innovation in scalable system design, making it an essential area of focus for architects and developers alike.

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 Keywords

Microservices, design patterns, scalability, API Gateway, Circuit Breaker, Service Discovery, Event Sourcing, cloud-native, distributed systems, fault tolerance.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Several mathematical concepts share a common feature that acts as a link between them. One such connection between the mathematical concepts of Group, Group Actions, and Homotopy is that they all involve projective maps. This underlying commonality allows us to establish a relationship between them, prompting a focused study of Group Actions and Homotopy to uncover this connection. While these concepts have each been the subject of extensive individual research, there has been little effort to determine if one can lead to the other and the conditions for such an interlinking function. Additionally, identifying Group Actions can be more challenging than finding Homotopic maps. Therefore, we anticipate that discovering an interlink could be beneficial. By relating these concepts on a common platform, we aim to determine if they can coexist through a single function. As a step in this direction, this paper is a part of the work that is about the condition for functions to be Homotopic under a Group Action and conversely. Here we derive the condition for a Homotopy to induce a group action. Our aim is to find a single map which can give rise to a Homotopy and a Group Action simultaneously. The extension of Homotopy to sets, vector-fields etc., serves to meet this purpose. Similarly, we extend Group Actions to general sets (Set-Action). We obtain conditions for a Homotopy to be a group, Action. This study serves as an approach to find Group Actions using existing Homotopy. Thus, we show here that a Homotopy leads to group action between two functions with special properties and theorems on these.

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 Keywords

Homotopy, Group Action, Induced Homotopy, Induced Group Action, Linking Group Action and Homotopy.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The transition towards electric vehicles (EVs) marks a significant paradigm shift in the transportation sector, with profound impacts on power systems globally. This research paper provides a comprehensive analysis of the effect of EVs on power systems, addressing key challenges and opportunities arising from their integration. We examine the intricate dynamics between EV charging behavior and grid stability, emphasizing the importance of innovative solutions such as smart charging algorithms and demand response mechanisms to mitigate peak demand impacts. Furthermore, we investigate the grid integration challenges posed by EVs, including distribution and transmission infrastructure constraints, voltage stability issues, and the imperative for strategic grid modernization initiatives. Energy demand and supply implications are explored, with a focus on optimizing EV charging profiles, leveraging renewable energy sources, and exploring the potential of vehicle-to-grid (V2G) technologies to enhance grid flexibility. Environmental considerations are also scrutinized, evaluating the net environmental benefits of EV adoption and the role of policy frameworks in incentivizing sustainable transportation solutions. Real-world case studies and pilot projects illustrate best practices and lessons learned in EV-grid integration, while also highlighting opportunities for innovation and collaboration across stakeholders. The paper concludes with a discussion on future research directions, emphasizing the need for continued interdisciplinary efforts to address emerging challenges and unlock the full potential of electric vehicles as a cornerstone of a resilient, low-carbon energy future

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 Keywords

Electric Vehicle, Power System and Smart grid

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Creative Commons Attribution 4.0 and The Open Definition

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The purpose of this paper is to assess the cybersecurity and data privacy in wearable health technologies. Wearable sensors measure and record data from physiological and biochemical systems, and they are used to transmit health data via mobile applications and web-based platforms to healthcare providers and health records stored in the cloud [1]. These digital tools, if used properly, could become a valuable aid to medicine decision making based on research evidence, could encourage better patient participation in changing health behavior and could soon lead to preventive strategies that are both timely and individualized. One of the innovative trends in wearable health technology is the application of portable or wearable medical devices for remote monitoring and chronic disease management. These technologies provide online data transmission of real-time health status between patients and healthcare givers at non-traditional clinical settings. While these technologies remain in their infancy, security and privacy concerns need to be taken into account so as to allow a wide adoption of health information systems by both health professionals and individuals. Health records also contain information on prescriptions, used for creating and selling fake IDs to obtain controlled substances; and specific details, such as diagnosis or lab results, which could potentially be used for blackmail or discrimination [1]. With the increase in amount and sensitivity of data being collected by wearable health technologies, this trend of targeting healthcare data is likely to shift towards the cloud servers and databases storing this information. Given the rate at which these technologies are being adopted, it is imperative that we think about proactively addressing these cybersecurity and privacy challenges, rather than waiting for a disastrous event to occur.

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 Keywords

Healthcare, Cybersecurity, Data Privacy, Wearable Devices, Health Tech, Device Security, Privacy, Data Risks, Health Data Protection, Vulnerabilities, Encryption, Authentication, Regulatory Compliance, predictive analytics framework, data mining

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Creative Commons Attribution 4.0 and The Open Definition

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The theory of creation and destruction is found in almost every religion of this world. All the religions have the belief that, as the Universe is created, then it will be destructed one day and this belief gives birth to many theories and different types of mythological stories. In the White Yajurveda, the story of Manumatsyakatha is found where destruction occurred due to a great deluge and the Hollywood movie 2012 also shows destruction of the world. The objective of this paper is to relate the story of 'Manumatsyakatha' with the Hollywood movie '2012' and to find out the points of agreement and difference between these two stories.

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 Keywords

Destruction, Manumatsyakatha, Movie, Flood, Tsunami, Survival

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 Abstract

Higher education is the backbone of the modern society. It has the power to transform human beings into human resociety it Along with primary and secondary education higher education is also an instrument to build future generation. In India majority of Ble higher educational institutions are urban centric. Even most of the higher educational institutions in rural India lack quality. As a result of that rural population are deprived. Under certain circumstances it is seen that gross enrolment ratio is very poor in these rural areas. The situation is even worse for female population in regard to gross enrolment ratio. The paper highlights all these key issues and tries to find out the problems that the rural population is suffering in regard to education. Along with that the paper tries to find out possible remedies to overcome those barriers.

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STATUS OF HIGHER EDUCATION IN RURAL AREAS OF INDIA

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The most cardinal concept international humanitarian law is right to self-determination, which is of jus cogens. It connotes people have right to freely choose their sovereignty and political status, based on the principles of equality and reasonability. It is estimated representation of indigenous population is 5% of the world's population, living in more than 70 countries. The vulnerability of these populations shows their denial of human rights due to many reasons including the displacement. The displacement causes the denial of their values, primitive unique tradition, culture, knowledge, social security and all. The displacement marginalizes the indigenous people without proper and adequate rehabilitation and resettlement. In decades the planned development projects, forest conservation policies, natural disasters and many more causes the displacement of tribes from their land. The concept of economic progress and modernization is very required for the development of the country but at the same time, they extinguishing the right to life and liberty of indigenous people. This article is to focus on the problem of displacement of indigenous people, its impact and overview the legal sanctions for such in India.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Indigenous People, Displacement, Marginalization, Rehabilitation

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Creative Commons Attribution 4.0 and The Open Definition