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Abstract: Due to issues with respect to security breaches and expensive storage capacity, the secure sharing and maintenance of Electronic Health Records (EHRs) remains a concern within the healthcare industry. To ensure mystery, versatility, and reliability in sharing information, this article gives an successful EHR sharing view based on blockchain and decentralized storage technologies. It includes smart contracts, proxy re-encryption, and a hybrid on-chain/off-chain architecture to the Blockchain-based Secure Access and Sharing (BCAS) system. This strategy integrates Filecoin as a decentralized, incentive-driven storage layer to ensure tough and verifiable data availability, in contrast to conventional IPFS-only solutions. Filecoin and IPFS manages the storage of encrypted medical data, whereas Blockchain handles identity verification, access control, and transaction auditing.

Smart contracts ensure the transparency and confidential ownership of health data by automating access tracking and authorization administration. Security testing verified the system’s defenses against common threats like DDoS, spoofing and MITM attacks. When compared to current blockchain-based EHR systems, the performance evaluation demonstrates extraordinary throughput, low computational overhead, and faster recovery. The proposed approach provides an effective, secure, and patient-focused solution for EHR data management and sharing among healthcare centers using Filecoin's decentralized economy with immutability of blockchain.

Keywords: InterPlanetary File System (IPFS), Filecoin, Secure Data Sharing, Smart Contracts, Electronic Health Records (EHR), Blockchain Technology.  

Title: An efficient EHR sharing model using blockchain and decentralised storage technologies

Author: Mr. Nitish, Mr. Anuj Kumar Sharma, Mr. Kamal Kumar, Mr. Bharat Kumar, Mr. Kunal Yadav

International Journal of Recent Research in Mathematics Computer Science and Information Technology

ISSN 2350-1022

Vol. 12, Issue 2, October 2025 - March 2026

Page No: 38-44

Paper Publications

Website: www.paperpublications.org

Published Date: 21-February-2026

Abstract: Artificial Intelligence (AI) has skilled fast improvements in latest years, revolutionizing diverse industries and factors of human life. However, the increasing integration of AI systems raises concerns regarding user experience, privacy and ethical implications.  This study investigates the impact of Artificial Intelligence (AI) on the study habits and learning experiences of University students. Through semi-structured interviews with University students, the thematic analysis identified five main themes: AI as an aid in learning, Knowledge of AI usage, Efficiency, Trust, and AI in society and the workplace. The findings of the study will reveal that AI serves as a dynamic guide for students, aiding knowledge development, reflection, and discussions. However, concerns about cheating and short-term learning highlight ethical dilemmas. Students' familiarity with AI varies, with challenges in navigating technical aspects and formulating clear questions. Encouraging AI literacy and support can mitigate these challenges. AI is perceived as a time-saver, simplifying information search processes and providing additional resources. Ethical considerations, such as data privacy and reliability, must be addressed. Trust plays a pivotal role in students' interactions with AI, emphasizing transparency and reliability. Beyond the classroom, AI affects society and the workplace, necessitating in addition studies for a complete know-how of its results on gaining knowledge of consequences and educational success. Overall, AI integration in education is crucial, emphasizing needs to make sure students are getting good experiences and outcomes when using AI for learning.

Keywords: Artificial Intelligence, Education, Ethical, Experiences, Learning, Outcomes, Privacy, Students, Study, University.

Title: INVESTIGATING THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE STUDY HABITS AND LEARNING EXPERIENCES OF UNIVERSITY STUDENTS

Author: Princewill Chinomso Okeke, Asiah Binti Lokman

International Journal of Recent Research in Mathematics Computer Science and Information Technology

ISSN 2350-1022

Vol. 12, Issue 2, October 2025 - March 2026

Page No: 26-37

Paper Publications

Website: www.paperpublications.org

Published Date: 21-January-2026

Abstract: Nano-enhanced phase change materials (NEPCMs) provide a great solution to the shortcomings of traditional latent heat storage thermal energy storage systems, especially in the enhancement of heat transfer rate. However, the accuracy of numerical models that simulate NEPCM performance is still not assured because of the limited experience in validations with experimental and benchmark studies. This study achieves that by validating a control volume-based numerical model of NEPCMs-i.e. with CuO and graphene oxide nanoparticles-against six peer-reviewed experimental and numerical references. The methodology consists of graphical overlays and quantitative analyses based on RMSE, R2 , and paired t-tests of most important thermal metrics: melt fraction, solid fraction, and radial temperature distribution. The results show a good predictive accuracy results R2  >  0.96 (no statistically significant differences (p>  0.05) were found of the proposed and reference data). These findings validate the fidelity and usefulness of the model in actual energy applications. The study suggests wider application of validated models in policy and system design and integration with experimental data in future to obtain better robustness in operating conditions at later stage.

Keywords: Energy Storage Validation, Melt Fraction Analysis, Nano-Enhanced Phase Change Materials (NEPCMs), Numerical Model Benchmarking, Solidification Dynamics, Thermal Performance Simulation.

Title: Validation of Numerical Models for Nano-Enhanced PCM Thermal Performance Using Published Experimental and Numerical Results

Author:  Awuor Misawo, Onyango T. T. Mboya, Fredrick O. Nyamwala

International Journal of Recent Research in Mathematics Computer Science and Information Technology

ISSN 2350-1022

Vol. 12, Issue 2, October 2025 - March 2026

Page No: 16-25

Paper Publications

Website: www.paperpublications.org

Published Date: 25-November-2025

Abstract: Blockchain technology is a transformative distributed ledger paradigm that enables secure, transparent, and tamper-resistant data management without centralized authorities. At its core lies the consensus mechanism-the protocol through which distributed nodes agree on a single canonical transaction history. This paper presents a structured review of major blockchain consensus schemes including Proof-of-Work (PoW), Proof-of-Stake (PoS), and Practical Byzantine Fault Tolerance (PBFT), as well as emerging hybrid models such as Avalanche and Polkadot. The analysis evaluates sustainability, scalability, security, and decentralization characteristics, offering a comprehensive comparison across these mechanisms. The findings highlight inherent trade-offs related to energy consumption, throughput, finality, validator governance, and fault tolerance. The study concludes by identifying open research challenges important for designing next-generation blockchain systems capable of supporting large-scale, mission-critical applications.

Keywords: Avalanche, Blockchain, Consensus Mechanisms, PBFT, PoS, PoW, Scalability, Security, Sustainability.

Title: Study and Comparative Analysis of Blockchain Consensus Mechanisms

Author: Dr. N. R. Ananthanarayanan, Mr. Suresh Subbu

International Journal of Recent Research in Mathematics Computer Science and Information Technology

ISSN 2350-1022

Vol. 12, Issue 2, October 2025 - March 2026

Page No: 1-15

Paper Publications

Website: www.paperpublications.org

Published Date: 25-November-2025