Search
226 articles for “Biomedical Application”
-
Cognitive AI-Based Quality Control and Operational Optimization of Polymer Composites for Healthcare Applications
Abstract: The use of polymer composite materials in healthcare is on the rise because of their adjustable mechanical characteristics, biocompatibility and structural flexibility. Yet, it is difficult to ensure stable quality of such composites due to process-related defects, heterogeneity of the material and the lack of real-time adaptive control. The proposed study suggests the use of cognitive AI-based framework of quality control and optimization of operation of polymer composite systems which …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 571–591 Read article
-
Crystallization Kinetics and Morphological Shifts in Polylactic Acid/Nanocellulose Blends Under Isothermal Melt Conditions
Abstract: The great potential of polylactic acid as a sustainable biopolymer for packaging, biomedical materials, and additive manufacturing, polylactic acid's slow crystallization kinetics during melt processing causes it to be poorly crystallized, thermally weak, and mechanically underperforming. Crystallization models of PLA/nanocellulose blends have been limited to isothermal melt crystallization kinetics and the resulting morphological changes. The phenomena discussed in this work are systematically explored by melt compounding of polylactic acid with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Fractal-Entropy Guided Adaptive Signal Reconstruction for Non-Stationary Biomedical and Communication Systems
Abstract: This paper presents a novel Fractal-Entropy Guided Adaptive Signal Reconstruction (FEG- ASR) framework designed for accurate processing of non-stationary signals in biomedical and communication systems. The proposed approach integrates fractal dimension analysis with entropy- based feature evaluation to capture the intrinsic complexity and irregularity of time-varying signals. By dynamically adapting reconstruction parameters based on fractal-entropy measures, the method effectively separates noise from meaningful signal components while preserving critical information. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 · pp. 22–33 Read article
-
Cyanophycin: Production and Its Role as Stabilizer in Nanoparticle Synthesis
Abstract: Cyanophycin also known as cyanophycin granule polypeptide, an exceptional biopolymer produced by diverse cyanobacteria, has attracted considerable attention because of its potential uses in various environmental and biomedical field. In this review paper, we examine the current knowledge about cyanophycin production under different culture mediums and supplements that are consumed by varieties of microorganisms. Cyanobacteria have the capacity to produce cyanophycin, a nitrogen-rich compound generated under stress conditions, such as …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 3, 2024 · pp. 13–26 Read article
-
Polymeric Composite Reinforcement Strategies for Load-Bearing Orthopedic Implants
Abstract: The increasing demand for orthopedic implants with enhanced characteristics that are durable, lightweight and compatible with the body’s response has led to the development of polymeric composites incorporating them for load-bearing applications. Commonly used metal implants cause stress shielding, corrosion and lack biological integration. The challenges of the aforementioned problems are overcome by polymeric composites by offering adjustable mechanical properties, radiolucency and the incorporation of bioactive elements. Advances in high-performance …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 223–235 Read article
-
From Differential Equations to Data Science: A Survey on Analytical Methods in Contemporary Problems
Abstract: The integration of differential equations and data science methods represents a dynamic and evolving approach to solving contemporary challenges across a wide range of disciplines, including engineering, physics, biology, economics, and finance. Differential equations have long served as fundamental tools for modeling continuous systems and processes, offering powerful insights into the behavior of natural and man-made phenomena. For example, they describe how heat diffuses through materials, how populations grow in …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article