Issue 2 (December)

The utilization of three-dimensional (3D) printing technology has revolutionized various fields, including biomedical applications. This abstract aims to explore the profound impact of 3D printing on the medical sector, highlighting its applications in tissue engineering, prosthetics, surgical planning, and drug delivery systems. 3D printing technology has enabled the creation of personalized medical devices and implants, which can be tailored to the specific requirements of patients. In tissue engineering, 3D bioprinting facilitates the development of patient-specific organs, offering hope for those suffering from organ failure. Furthermore, this technology has significantly improved the accuracy of surgical planning by providing realistic, anatomically detailed models of patients. Additionally, the use of 3D printing in creating prosthetics has led to enhanced mobility and improved quality of life for individuals with limb loss. Lastly, 3D printing has emerged as a promising strategy in drug delivery systems, offering novel approaches to the development of targeted therapies. This review aims to provide a comprehensive overview of the current state of 3D printing in the biomedical field and its potential future developments.

The advent of blockchain technology has revolutionized various sectors, including supply chain management, by offering a secure and transparent platform for transactions and data sharing. This paper delves into the role of blockchain in enhancing the security of supply chain management. By providing an immutable ledger, blockchain ensures the integrity of records, reduces counterfeiting risks, and facilitates end-to-end traceability. The use of smart contracts automates and verifies transactions, thereby minimizing errors and fraud. Furthermore, the decentralized nature of blockchain fosters trust among stakeholders, leading to more efficient and reliable supply chain operations. The paper explores the challenges and opportunities associated with adopting blockchain in supply chain management, emphasizing the need for robust implementation strategies to maximize the potential benefits.

This paper explores the integration of computational intelligence techniques in the field of biomedical signal processing. Biomedical signal processing involves the analysis and interpretation of biological signals to aid in the diagnosis, treatment, and monitoring of diseases. The rapid advancements in computational intelligence have provided new avenues for improving the effectiveness and accuracy of biomedical signal processing. This study delves into various computational intelligence methods such as artificial neural networks, evolutionary algorithms, and fuzzy logic systems, and examines their applications in signal acquisition, feature extraction, noise reduction, and classification tasks. The paper further investigates the challenges faced in implementing these methods and proposes potential solutions. Through a comprehensive analysis of the literature, this study highlights the significance of computational intelligence in enhancing the capabilities of biomedical signal processing, thereby contributing to the advancement of healthcare technology.

The field of offshore engineering has seen significant advancements with the increasing demand for energy from renewable sources such as wind and wave power. Fluid dynamics plays a critical role in the design, analysis, and safety of offshore structures. This paper presents a comprehensive review of computational methods used for simulating fluid dynamics in offshore structures. It discusses the fundamental principles of fluid dynamics and their application to offshore structures, emphasizing the importance of accurate and efficient numerical simulation techniques. The review covers various computational approaches, including finite element methods (FEM), finite volume methods (FVM), and lattice Boltzmann methods (LBM), each with its unique strengths and limitations. Additionally, the paper examines the challenges associated with simulating complex flow phenomena, such as turbulence and wave interactions, and discusses the recent advancements in turbulence modeling and high-performance computing. The findings highlight the necessity for interdisciplinary collaboration between engineers, mathematicians, and computer scientists to enhance the reliability and effectiveness of fluid dynamics simulation in offshore engineering.

The title "Computational Methods for Structural Health Monitoring" signifies the exploration of innovative techniques and methodologies aimed at assessing the integrity and performance of structures over time. This paper provides an in-depth analysis of the latest computational approaches that have been developed to monitor the health of various structures, including bridges, buildings, and infrastructure. The primary objective is to ensure safety, longevity, and efficiency of these critical systems.