https://jsrtjournal.com/index.php/JSRT/issue/feed Journal of Scientific Research and Technology 2025-08-04T20:09:54+00:00 Open Journal Systems Journal Of Scientific Research And Technology (JSRT) is a peer reviewed, open access, multidisciplinary journal and proudly recognised under MSME Government of India. https://jsrtjournal.com/index.php/JSRT/article/view/294 Public-Private Partnership On National Highways In Karnataka: Opportunities And Challenges 2025-08-01T17:11:08+00:00 Sunit Kumar Dr. Dashrath. S. Naik <p>Public-Private Partnerships (PPPs) have transformed infrastructure development in India, particularly for National Highways in Karnataka, a state with 4,491 km of critical highway networks. This study evaluates the efficacy of PPP models in enhancing Karnataka’s National Highways under the National Highways Development Project (NHDP), focusing on projects like NH-48 and NH-44. Using a mixed-methods approach, the research analyzes NHAI reports, Karnataka PWD data, and case studies to assess performance metrics such as cost efficiency, completion timelines, traffic flow, and safety improvements. Findings reveal that PPPs have reduced project delays by 20% and improved road quality, but challenges like funding disputes and risk allocation persist. The study proposes a framework for optimizing PPP contracts, emphasizing stakeholder collaboration and innovative financing. By addressing these challenges, PPPs can enhance connectivity, reduce congestion, and align with India’s infrastructure goals. This research offers actionable insights for policymakers and stakeholders to strengthen PPP frameworks, ensuring sustainable and safe highway development in Karnataka.</p> 2025-08-01T00:00:00+00:00 Copyright (c) 2025 https://jsrtjournal.com/index.php/JSRT/article/view/295 Detecting Mental Disorders In Social Media Through Emotional Patterns: The Case Of Anorexia And Depression 2025-08-01T17:32:28+00:00 Shilpa Mrs. Bharati S. Pochal <p>In forensic science, managing evidence is crucial. The evidence recovered from a crime scene is essential to wrapping up the case and making sure the victims get justice. For this reason, it's imperative to protect these bits of evidence from manipulation of any type. The procedure that guarantees the evidence's preservation is the Chain of Custody. If the chain of custody is broken, the evidence may not be allowed to be used in court, which could lead to the case being dropped.</p> <p>Because forensic evidence management systems are environmentally friendly, it is becoming more and more important to digitize them. These are digital ledgers that are split into blocks and made available to all users on the network. They cryptographically record transactions in a chronological manner. The Linux Foundation created the Hyperledger Fabric, a framework mainly intended for use in corporate applications. The current study aims to create a framework and suggest an algorithm for the digitalization of forensic evidence management systems and the upkeep of the Chain of Custody, drawing on the concepts of Hyperledger Fabric.</p> 2025-08-01T00:00:00+00:00 Copyright (c) 2025 https://jsrtjournal.com/index.php/JSRT/article/view/296 Design A Cryptosystem Based Healthcare Cyber Security Model, Contributing With Key Distribution For Different Attack 2025-08-02T07:01:58+00:00 Prof. Swarooparani Dr.Sridevi Hosmani Gurushantamma Pooja Yogita Atiya Nishat <p>In today's digital era, the healthcare industry is increasingly reliant on electronic systems for storing, transmitting, and processing sensitive patient data. This dependency makes healthcare networks a prime target for various cyber-attacks such as eavesdropping, man-in-the- middle, replay, and unauthorized access. This project presents the design and implementation of a cryptosystem-based healthcare cyber security model that enhances data security through robust encryption techniques combined with a secure key distribution mechanism. The proposed model introduces a dynamic key generation and exchange protocol to protect medical data from different types of attacks, ensuring confidentiality, integrity, and availability. The system leverages both symmetric and asymmetric cryptographic algorithms to provide a hybrid encryption framework that adapts to various network threats. Experimental evaluations demonstrate the effectiveness of the proposed model in preventing common security breaches in healthcare data transmission. The research contributes to the growing field of medical cyber security by offering a scalable and practical solution for protecting sensitive health information in real-time environments.</p> 2025-08-02T00:00:00+00:00 Copyright (c) 2025 https://jsrtjournal.com/index.php/JSRT/article/view/297 Critical Insights Of Central Pontine Myelinolysis: Development Of Hypothetical Co-Relation With Hyperparathyroidism, Its Comorbidity 2025-08-04T19:50:37+00:00 Mr. Vivek Kumar Tiwari K. Akshaya <p>Central Pontine Myelinolysis (CPM) is severe demyelinating disorder traditionally linked to rapid correction of hyponatremia. Recent insights recommend as metabolic and endocrine disturbances may also contribute to its development. This review explores the established comorbidities of CPM — including alcoholism, liver disease, and electrolyte imbalances and proposes a hypothetical correlation with hyperparathyroidism. We suggest that CNS injury-induced stress may elevate cortisol levels, disrupting calcium-phosphate balance and stimulating parathyroid hormone (PTH) secretion. This neuroendocrine-inflammatory cascade could exacerbate osmotic stress on pontine tissue and increased secretion of parathyroid hormone increasing the risk of demyelination and hyperparathyroidsm. Understanding this possible link emphasizes the need for broader metabolic monitoring in patients vulnerable to CPM along with hyperparathyrodism. Further studies are warranted to validate this novel hypothesis and to redefine the systemic approach toward CPM prevention and management.</p> 2025-08-04T00:00:00+00:00 Copyright (c) 2025 https://jsrtjournal.com/index.php/JSRT/article/view/298 AI Empowered Health Insurance Fraud Detection 2025-08-04T20:09:54+00:00 Shraddha Ashwini <p>The project titled aims to develop an advanced system for identifying and preventing fraudulent activities within the health insurance sector. By leveraging the power of artificial intelligence and machine learning algorithms, this system is designed to analyse vast amounts of data from insurance claims, detecting patterns and anomalies indicative of fraudulent behavior. The proposed solution focuses on enhancing the accuracy and efficiency of fraud detection processes, minimizing false positives, and significantly reducing the financial losses incurred by insurance companies. The system also provides a robust framework for continuous learning and adaptation to emerging fraud tactics, ensuring long-term reliability and effectiveness in safeguarding the integrity of health insurance claims.</p> 2025-08-04T00:00:00+00:00 Copyright (c) 2025