AIMC Topic: Computer Simulation

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Language models learn to represent antigenic properties of human influenza A(H3) virus.

Scientific reports
Given that influenza vaccine effectiveness depends on a good antigenic match between the vaccine and circulating viruses, it is important to assess the antigenic properties of newly emerging variants continuously. With the increasing application of r...

Adaptive fixed-time fault-tolerant trajectory tracking control for disturbed robotic manipulator.

PloS one
This article introduces a fixed-time trajectory control method for robotic manipulators, aimed at improving trajectory precision despite external disturbances, actuator faults, and uncertainties. Initially, a fast fixed-time nonsingular terminal slid...

In-silico study of approved drugs as potential inhibitors against 3CLpro and other viral proteins of CoVID-19.

PloS one
The global pandemic, due to the emergence of COVID-19, has created a public health crisis. It has a huge morbidity rate that was never comprehended in the recent decades. Despite numerous efforts, potent antiviral drugs are lacking. Repurposing of dr...

Expanding point cloud statistical shape model applications: Generalized vascular modeling for population-level hemodynamic simulations.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Population-scale hemodynamic research faces limitations due to the trade-off between computationally expensive patient-specific Computational Fluid Dynamics (CFD) and overly idealized cylindrical models. To overcome this, we...

Quantum-inspired computational drug design for phytopharmaceuticals: a herbal holography analysis.

Journal of molecular modeling
CONTEXT: Modern medication discovery is undergoing a paradigm change at the junction of herbal pharmacology with computational modeling informed by quantum theory. Herbal compounds, which have often been considered as complex and poorly understood en...

Tailoring neuromuscular dynamics: A modeling framework for realistic sEMG simulation.

PloS one
This study introduces an advanced computational model for simulating surface electromyography (sEMG) signals during muscle contractions. The model integrates five elements that simulate the chain of processes from motor intention to voltage variation...

Generative AI for predictive breeding: hopes and caveats.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik
Among the broad area of artificial intelligence (AI), generative AI algorithms have emerged as a revolutionary technology able to produce highly realistic 'synthetic' data, akin to standard simulation but with fewer contraints. The main focus of gene...

Validation of simulated training sets using a convolutional neural network for isotope identification in urban environments.

PloS one
Real-time isotope identification in urban environments can aid law enforcement by providing additional information about the nature of a potential threat. Neural networks have shown promise in isotope identification but the large range of potential i...

Evaluation of data driven low-rank matrix factorization for accelerated solutions of the Vlasov equation.

PloS one
Low-rank methods have shown success in accelerating simulations of a collisionless plasma described by the Vlasov equation, but still rely on computationally costly linear algebra every time step. We propose a data-driven factorization method using a...

Role of tight junctions in three-dimensional mechanical model of blood-brain barrier.

Journal of biomechanics
The increasing prevalence of central nervous system (CNS) disorders has imposed a significant social and economic burden on healthcare systems. The blood-brain barrier (BBB) presents a major challenge for effective drug delivery to the brain, hinderi...