Volume 13 | Issue 3 |

 Abstract

This paper examines the current state of public education in Peren District, Nagaland. It focus on the challenges and prospects for improvement in the education system. Declared as a full-fledged revenue district in 2004, Peren has achieved significant progress in its educational infrastructure through centrally sponsored schemes such as Sarva Siksha Abhiyan (SSA) and Rastriya Madhyamik Siksha Abhiyan (RMSA). Despite all these achievements and increased enrolment, numerous issues such as teacher absenteeism, inefficiency of local education committees in carrying out their role and responsibilities, inadequate monitoring, and political interference has continue to hinder the effective functioning of the public education system in the district, especially in remote areas. This paper is based on secondary data gathered from government sources and previous studies done by researchers in the related field. The study highlights the significance of the public education system in the district, challenges faced by both the community and the concern authorities, and proposes strategic recommendations for improving the quality in management and execution of the programs; ranging from teacher recruitment and training, rationalizing teacher postings, strengthening local governance, and upgrading infrastructure. The findings also underscore the urgent need for comprehensive policy interventions in school education system so as to ensure sustainable educational development and impart quality education for the students in the district.

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 Keywords

Peren District, public education, teacher absenteeism, educational infrastructure, local governance

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Although organ transplantation is an important medical process, inefficiency in adapting donors and centralized data management often leads to delays and incorrect adjustments. Organ trackers are decentralized systems developed using blockchain technology and machine learning to improve transparency, safety and efficiency of the organ donation process. The system securely stores donor and receiver data in a blockchain network, ensuring immutability, accessibility and reliability. Random forest machine learning models assess compatibility based on multiple donor factors. and as well as health status, it is searched as recipient ID, age, blood type, organ type, HLA typing, BMI, infection status, emergency level, waiting time, geographic location, and health. This approach minimizes human distortion, optimizes organ allocation, and reduces implantation speed. Additionally, organ trackers actually track organ availability and promote seamless communication between hospitals, donors and recipients. Our experimental findings demonstrate the effectiveness of the system in improving contract contracts simultaneously with data integrity and security guarantees. This study uncovers the potential of a decentralized, AI-driven solution in the global revolution in organ donation systems.

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 Keywords

Organ Donation, Decentralized System, Blockchain Technology, Machine Learning, Random Forest Algorithm, Organ Transplant, Matching Donor-Recipient Compatibility.

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In many ongoing repairable frameworks, when a unit fizzles, it could be quickly recognized, found and supplanted with coverage factor likelihood by a backup on the off chance that one is accessible. When developing reliability models for repairable systems, some of the most important considerations that should be taken into account include the availability of standbys, the coverage factor, and common cause failure. Coverage factor is used to study measures of the reliability of a backup system, which is a combination of primary and backup equipment. Provisioning has been made for the proper functioning of the framework. In case the main unit's reserve units are down, the reserve units will take over the base units, and in case the backup units fall, the frame will go into bombardment completely. The frustrations and remedies of each unit follow general circulation and are notable individually. Under the conditions of inadequate coverage and common cause failure, the entire system has been analyzed. To determine the probabilities of state transients, a Markov model has been created. Using Laplace transformation, various reliability metrics like availability and MTTF have been evaluated. A few graphical outlines have been taken for better comprehension of the model.

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 Keywords

Reliability, Availability, Common cause failure, MTTF, Laplace transforms

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The Kuki chieftainship and landholding systems in Northeast India have long served as pillars of governance, social organization, and cultural identity. Rooted in patriarchal and customary traditions, these systems vest land ownership in the chief, with village communities functioning under their authority. However, modernization, urbanization, and policy reforms, particularly the Manipur Land Revenue and Land Reforms Act (1960), have challenged their relevance and sustainability. This study, "Chieftainship in Transition: The Kuki Tribes' Struggle for Tradition and Modernity in Northeast India," explores the evolving dynamics of Kuki tribal governance and land tenure in the face of contemporary socio-political transformations. Using a mixed-methods approach, including interviews, surveys, and case studies, this research investigates key issues such as the conflict between traditional authority and democratic governance, the socio-economic impact of the absence of formal land titles, and the resistance to state-led reforms affecting tribal land ownership. Findings indicate that while chieftainship continues to provide social cohesion and dispute resolution, challenges related to accountability, transparency, and economic adaptability persist. The study advocates for a dual-governance model, integrating traditional leadership with modern administrative frameworks. Policy recommendations include redefining the chief's role in land distribution, legal recognition of customary land rights, and community-led reforms to enhance governance structures. By balancing tradition with modernization, the Kuki chieftainship can evolve into a more inclusive and sustainable institution, ensuring both cultural preservation and socio-economic progress.

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 Keywords

Kuki Chieftainship, Land Tenure, Traditional Governance, Policy Reforms, Socio-Economic Transition.

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In the fast-paced digital era, online shopping has emerged as a convenient alternative to traditional retail, significantly transforming consumer purchasing behavior. This study explores brand perception towards social media strategies for online shopping, focusing on consumer attitudes, influencing factors, and challenges faced in the digital marketplace. With the widespread availability of internet access in both urban and rural areas, businesses are leveraging social media platforms to market their products effectively. With increasing internet access, businesses leverage social media for marketing. Conducted in Tamil Nadu using descriptive research design, data was collected through questionnaires and secondary sources. Percentage analysis, chi-square tests were used for analysis. The study highlights the growing impact of social media on consumer purchasing decisions, emphasizing its role in shaping brand perception. As online shopping becomes more prevalent, businesses must adapt their strategies to address consumer concerns such as trust, security, and timely delivery. Strengthening digital engagement and improving service reliability can enhance customer satisfaction and loyalty in the competitive online market.

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Brand perception, social media strategies, online shopping, consumer behavior, digital engagement, customer satisfaction, e-commerce, purchasing decisions.

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Creative Commons Attribution 4.0 and The Open Definition

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Transdermal drug delivery systems (TDDS) represent a progressive approach for administering medications through the skin, offering sustained therapeutic effects while enhancing patient compliance. This review categorizes TDDS into reservoir, matrix and micro reservoir systems, each facilitating controlled drug release. Various formulation methods are explored including the asymmetric TPX membrane method, circular Teflon mold technique and innovative approaches like microneedles and nanocarriers, which enhance skin permeability and stabilize active ingredients. The evaluation parameters for TDDS include thickness, weight uniformity, folding endurance and in vitro release tests, ensuring the quality and efficacy of formulations. The review also outlines the contact times for different TDDS types with patches typically worn for 24 hours to several days, while sprays deliver shorter durations of drug effects. Applications of TDDS are diverse, spanning pain management with fentanyl patches, hormone replacement therapies and nicotine cessation to innovative vaccine delivery systems. However, adverse reactions such as skin irritation and allergic responses necessitate careful monitoring and patient education. Recent advancements in TDDS focus on enhancing drug delivery through techniques such as iontophoresis, sonophoresis and smart transdermal systems equipped with sensors. The future of TDDS lies in optimizing adhesive technologies and incorporating novel excipients to improve drug permeation and stability aiming for individualized treatment solutions. Overall, TDDS offers a practical alternative to traditional drug administration methods, addressing various medical needs while highlighting the importance of ongoing research and innovation in formulation science for improved therapeutic outcomes .

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 Keywords

Transdermal Drug Delivery Systems (TDDS), Types Of TDDS, Evaluation Parameters, Mechanism of Action, Formulations, Regulatory And Market Perspective

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Diabetic Retinopathy (DR) is a leading cause of blindness in diabetic patients. Manual screening by ophthalmologists is time-consuming and labor-intensive. Deep Learning-based classification of DR stages from high-resolution fundus images using MobileNet and ResNet models offers a promising solution. The models were trained on the Kaggle dataset to enhance the efficiency and accuracy of DR diagnosis, detection, and prevention of vision loss. Deep Learning models detect and classify five DR stages (0-4) from fundus eye images with high accuracy. Input images are processed to extract features, which are then used to output the corresponding DR stage using an activation function. Utilizing Artificial Intelligence, the system analyzes large datasets and makes accurate predictions, reducing the workload of ophthalmologists and improving patient outcomes. This technology has the potential to revolutionize DR diagnosis, enabling timely and accurate detection, and preventing vision loss. Deep Learning in medical image analysis demonstrates effectiveness in improving healthcare outcomes, enabling enhanced patient care and treatment.

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Diabetic Retinopathy (DR), Deep Learning (DL), MobileNet, ResNet, fundus images.

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Creative Commons Attribution 4.0 and The Open Definition

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The adoption of Agile methodologies has gained immense popularity in the IT industry due to its ability to enhance productivity, foster collaboration, and streamline project management. This research paper explores the impact of Agile methodologies on employees working in IT companies in the Mumbai region. By examining employee satisfaction, productivity, and collaboration, this study seeks to understand the transformation Agile brings to workplace culture and performance. Through qualitative and quantitative analysis, this paper presents insights into how Agile methodologies influence employee experience in terms of workload, team dynamics, stress, and overall job satisfaction.

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Creative Commons Attribution 4.0 and The Open Definition

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Agile methodologies, IT companies, Mumbai, employee impact, productivity, collaboration, software development, employee satisfaction, team dynamics.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Sarkari Ev Gair Sarkari Uchtar Madhyamik Vidhyalyo Me Adhyanrat Vithyarthiyo Ki Naithik Vikash Ke prati Jagrukta Ka Ling Ke Sandarbh Me Tulnatmak Adhyan

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Sarkari Ev Gair Sarkari Uchtar Madhyamik Vidhyalyo Me Adhyanrat Vithyarthiyo Ki Naithik Vikash Ke prati Jagrukta Ka Ling Ke Sandarbh Me Tulnatmak Adhyan

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Customer satisfaction plays a vital role in the success of retail businesses, shaping consumer loyalty and influencing brand perception. This study examines customer satisfaction with Zudio shopping in Coimbatore City, focusing on key factors such as product quality, pricing, store ambiance, customer service, and overall shopping experience. Through surveys and data analysis, the research aims to assess customer preferences, expectations, and levels of satisfaction with Zudio's offerings. The findings will provide valuable insights into consumer behaviour, helping Zudio enhance its retail strategies to better serve its customers in Coimbatore. This study contributes to the broader understanding of customer satisfaction in the budget fashion retail sector.

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A STUDY ON CUSTOMER SATISFACTION ON ZUDIO SHOPPING IN COIMBATORE CITY

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