AIMC Topic: Computer Simulation

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Decoding virulence and resistance in Klebsiella pneumoniae: Pharmacological insights, immunological dynamics, and in silico therapeutic strategies.

Microbial pathogenesis Aug 1, 2025
Klebsiella pneumoniae (K. pneumoniae) has become a serious global health concern due to its rising virulence and antibiotic resistance. As one of the leading members of ESKAPE pathogens, it plays a major role in a wide range of infections that cause ...
Immune Evasion Virulence Factors Virulence beta-Lactamases Bacterial Vaccines Klebsiella pneumoniae Klebsiella Infections Drug Discovery Drug Resistance, Multiple, Bacterial Drug Resistance, Bacterial Anti-Bacterial Agents Computer Simulation Humans
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Artificial intelligence automated solution for hazard annotation and eye tracking in a simulated environment.

Accident; analysis and prevention Aug 1, 2025
High-fidelity simulators and sensors are commonly used in research to create immersive environments for studying real-world problems. This setup records detailed data, generating large datasets. In driving research, a full-scale car model repurposed ...
Automobile Driving Adult Accidents, Traffic Male Attention Eye-Tracking Technology Computer Simulation Humans Deep Learning Female Artificial Intelligence
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Fermi calculations enable quick downselection of target genes and process optimization in photosynthetic systems.

Plant physiology Jul 3, 2025
Understanding how photosynthetic organisms including plants and microbes respond to their environment is crucial for optimizing agricultural practices and ensuring food and energy security, particularly in the context of climactic change and sustaina...
Computer Simulation Plants Photosynthesis
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The role of mathematical models in prediction of osteoarthritis development.

Computers in biology and medicine Jul 1, 2025
In the paper we presented the review of mathematical and numerical models of osteoarthritis (OA). As angiogenesis seems to be the most principal factor in OA mathematical and numerical modelling, we focused on the models that consider the process. Th...
Humans Computer Simulation Models, Biological Osteoarthritis
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Computational modeling of breast tissue mechanics and machine learning in cancer diagnostics: enhancing precision in risk prediction and therapeutic strategies.

Expert review of anticancer therapy Jul 1, 2025
INTRODUCTION: Breast cancer remains a significant global health issue. Despite advances in detection and treatment, its complexity is driven by genetic, environmental, and structural factors. Computational methods like Finite Element Modeling (FEM) h...
Magnetic Resonance Imaging Machine Learning Mammography Humans Neoplasm Grading Female Disease Progression Computer Simulation Neural Networks, Computer Finite Element Analysis Breast Neoplasms Image Processing, Computer-Assisted
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Identifying metabolites of new psychoactive substances using in silico prediction tools.

Archives of toxicology Jul 1, 2025
New psychoactive substances (NPS) pose an increasing challenge for clinical and forensic toxicology due to the initial lack of analytical and metabolic data. This study evaluates the performance of four in silico prediction tools (GLORYx, BioTransfor...
Biomarkers Computer Simulation Humans Designer Drugs Psychotropic Drugs Cannabinoids
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Noise-resistant predefined-time convergent ZNN models for dynamic least squares and multi-agent systems.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Zeroing neural networks (ZNNs) are commonly used for dynamic matrix equations, but their performance under numerically unstable conditions has not been thoroughly explored, especially in situations involving unequal row-column matrices. The challenge...
Neural Networks, Computer Algorithms Time Factors Computer Simulation Least-Squares Analysis
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SympGNNs: Symplectic Graph Neural Networks for identifying high-dimensional Hamiltonian systems and node classification.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
Existing neural network models to learn Hamiltonian systems, such as SympNets, although accurate in low-dimensions, struggle to learn the correct dynamics for high-dimensional many-body systems. Herein, we introduce Symplectic Graph Neural Networks (...
Graph Neural Networks Computer Simulation Neural Networks, Computer Molecular Dynamics Simulation Algorithms
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Event-based distributed cooperative neural learning control for nonlinear multiagent systems with time-varying output constraints.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
In practical engineering, many systems are required to operate under different constraint conditions due to considerations of system security. Violating these constraints conditions during operation may lead to performance degradation. Additionally, ...
Neural Networks, Computer Algorithms Computer Simulation Time Factors Nonlinear Dynamics
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A novel one-layer neural network for solving quadratic programming problems.

Neural networks : the official journal of the International Neural Network Society Jul 1, 2025
This paper proposes a novel one-layer neural network to solve quadratic programming problems in real time by using a control parameter and transforming the optimality conditions into a system of projection equations. The proposed network includes two...
Computer Simulation Neural Networks, Computer Algorithms
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