AIMC Journal:
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Showing 41 to 50 of 55 articles

High-fidelity machine learning models for predicting antibacterial effects of cerium oxide nanoparticles across bacterial strains.

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The primary objective of this study is to develop and validate robust data-driven models for accurately predicting bacterial growth inhibition induced by cerium oxide nanoparticles across different bacterial strains and experimental conditions. This ...

Bayesian regularization optimization technique for hybrid nanofluid with Cattaneo Christov flux model using wax and sand nanoparticles.

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The current study employs Bayesian-regularization optimizer technique with artificial neural networks (BROT-ANNs) to investigate the significance of local thermal non-equilibrium influences on wax + sand-based hybrid nanofluid flow across a disk with...

Smart nanomaterials enabling drug delivery and glucose monitoring for diabetes management.

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Diabetes mellitus represents one of the most prevalent chronic diseases worldwide, posing serious challenges to global health and healthcare sustainability. Conventional therapeutic strategies often face limitations such as poor bioavailability, freq...

Development trends and translational opportunities in self-assembled herbal bioactive materials research.

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BACKGROUND: Self-assembled herbal bioactive materials (SAHBMs) represent a rapidly advancing frontier integrating phytochemistry, supramolecular chemistry, and biomedical engineering. By leveraging the intrinsic pharmacological activity and self-orga...

Bayesian-regularized neural network analysis of heat and mass transmission in CMC and water hybrid nanofluid with local thermal non equilibrium conditions.

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The influences of Marangoni convection and local thermal non-equilibrium effects on CuO-TiO₂/CMC (Carboxymethyl Cellulose)-Water based hybrid nanofluid flow via a sheet with thermophoretic particle deposition have been assessed in this work using an ...

A deep dive into ferritin nanoparticle advancements: experimental and computational perspectives.

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Ferritin, a natural iron-storage protein, has emerged as a versatile platform in nanotechnology and biomedicine due to its biocompatible 12 nm nanocage, intrinsic targeting via the transferrin receptor 1, and adaptability for diverse applications. Th...

Nanoparticle-based mechanistic and multifunctional strategies for targeted osteosarcoma therapy.

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Osteosarcoma is the most common malignant bone tumor in children and adolescents, usually affecting the long bones of the limbs. Despite progress in surgery, chemotherapy, and radiotherapy, patient outcomes remain poor, highlighting the need for bett...

Synergetic properties of advanced materials for high-power and high-temperature applications.

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This paper explores the advancements, applications, and challenges of advanced thermal and magnetic materials in high-power and high-temperature environments. These materials, including high-temperature superconductors, ferromagnetic materials, and m...

Design and optimization of highly sensitive and tunable nanostructure biosensor for heavy metal detection using machine learning.

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The third biggest concentration of metallic ions is traces of the element copper (Cu2+), which is crucial to all living creatures and plays a key role in several operations. However, deficiency or excessive copper ions may trigger a wide range of dis...

Predictive modeling for the mean diameter of carbon nanotubes produced by methane decomposition.

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The catalytic decomposition of methane represents an efficient route for carbon nanotube (CNT) synthesis, yet the quantitative prediction of CNT mean diameter under multivariate processing conditions remains challenging. This study aims to develop an...