The purpose of the study is to obtain nanofilms based on clay minerals and to study the antibacterial activity of the obtained nanocomposite coatings. Diatomite and kaolin were pretreated with sulfuric acid. Silicon plates were used as model substrates. For the first time, multilayers of the composition diatomite/PAA and kaolin/PAA were obtained by multilayer assembly. In the multi-layer, the antiseptic chlorhexidine was introduced, which plays the role of an antibacterial agent. Scanning electron microscopy (SEM) determined the distribution and thickness of the obtained multi-layer, the elemental composition of nanofilms was determined by the SEM-EDX method. The specific surface of natural and sulfuric acidmodified diatomite and kaolin was examined by the BET method. The wetting angle was determined by the lying drop method. Obtaining coatings on the surface of implantable systems is one of the promising areas in modern medicine. In this regard, the production of nanocovers with antibacterial properties is an urgent issue in the fight against infectious diseases associated with bacterial growth. One of the modern methods for producing nanofilms currently used is the Layer by Layer (LBL) method. Nanofilms obtained by this method have found application in tissue engineering and dressings. The feature of this study is the use of clay minerals such as diatomite of the Mugodzharsky deposit and kaolin of the Alekseevsky deposit, which are concentrated in the west and north of Kazakhstan. The obtained multilayers were used as carriers for chlorhexidine and their antibacterial activity was studied. Nanofilms of diatomite/PAA/chlorhexidine and kaolin/PAA/chlorhexidine were tested against the Escherichia coli (E.coli) gram-negative bacterium. Thus, the obtained nanocomposite coatings based on kaolin and diatomite can be potential carriers for drugs.
This article considers the main models of the architecture of agency systems of project-oriented management as stages of their development. The agent technology allows us to decentralize problem solving and create complex systems of project-oriented management, combining various processing methods such as modeling, reasoning, and machine learning, and also allows us to distribute knowledge. One of these models is an aggregated architecture for systems of project-oriented management, based on agents of a marked deductive system. This approach allows us to divide algorithms into separate modules and distribute the knowledge base into parts. The focus is on existing multi-agent data mining architectures and the roles of agents in them. An architecture is described of Existing Methods and Technologies of Project-Oriented Management for Government Agencies ... to support the decision-making process in conjunction with the use of event-driven and task-driven data mining agents, as well as helpers and knowledge management agents. The article then considers a mathematical model of the proposed decision-making system, identifies key parameters, and suggests improvements to the model based on the proposed integrated software solution. The practical significance of this study is determined by the fact that not only was the software architecture developed and presented for the first time, but also a fully extended mathematical model of a project-oriented management system.
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