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A multiscale model suggests that a moderately weak inhibition of SARS-CoV-2 replication by type I IFN could accelerate the clearance of the virus the interactions between infected cells and immune cells using a hybrid agent-based representation. At the same

New cerebrovascular agent with hypotensive activity properties of the calcium channel blocker of S-Amlodipine nicotinate antihypertensive agent

Adaptation of adversarial machine learning for training agents to counter data attacks the robustness of machine learning models against data attacks. This article explores the adaptation of AML

Evaluation of anti-inflammatory activity of phosphonates based on the model of chronic autoimmune inflammation of the paws of ratsCurrently, there is an ongoing search for new pharmacological agents capable of exhibiting anti

The adaptive model of customs management theoretical and methodological bases of customs management basing on an integrative model. The authors

Enhanced Slime Mould Optimization with Deep-Learning-Based Resource Allocation in UAV-Enabled Wireless Networks-assisted transmission networks. This paper presents an Enhanced Slime Mould Optimization with Deep-Learning-based

Natural Language Text Generation from Knowledge Bases of OSTIS-systems of ostis-system knowledge bases. The architecture of the abstract sc-agent of translating a fragment

Personal cognitive assistant: Concept and key principals [ПЕРСОНАЛЬНЫЙ КОГНИТИВНЫЙ АССИСТЕНТ: КОНЦЕПЦИЯ И ПРИНЦИПЫ РАБОТЫ] virtual intelligent agent that has its own sign-based world model and builds a world model of the user

Virtual screening, synthesis and biological evaluation of DNA intercalating antiviral agents© 2017 Elsevier Ltd This paper describes computer-aided design of new anti-viral agents against

The implementation of graphodynamic paradigm using the metagraph approach. The metagraph model is used as complex graph model. The brief history of metagraph model development

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