4 research outputs found

    USE OF INFORMATION TECHNOLOGIES IN FUTURE PROJECT MANAGERS' TRAINING

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    The article clarifies the concepts of project and project management, substantiates the use of information systems and technologies in training specialists in project management (project manager and program manager), discusses the characteristics and functions of project management information systems as well as describes the materials and methods of project implementation and the advantages of using IT for project creation. The author outlines the contents of project managers' training at the University of Education Management Educational-Scientific Institute of Management and Psychology and claims that future project managers must know the main characteristics and functionalities of and be trained to use the MS Project, Oracle Primavera, etc. The project management students also have to be able to determine the purpose of and tools for a calendar network model development, to formulate requirements for project management software in solving specific problems as well as to use software for project planning, monitoring and analysis

    Development of electrochemical aptasensor for lung cancer diagnostics in human blood

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    We describe the preparation and characterization of an aptamer-based electrochemical sensor to lung cancer tumor markers in human blood. The highly reproducible aptamer sensing layer with a high density (up to 70% coverage) on the gold electrode was made. Electrochemical methods and confocal laser scanning microscopy were used to study the stability of the aptamer layer structure and binding ability. A new blocking agent, a thiolated oligonucleotide with an unrelated sequence, was applied to fill the aptamer layer’s defects. Electrochemical aptasensor signal processing was enhanced using deep learning and computer simulation of the experimental data array. It was found that the combinations (coupled and tripled) of cyclic voltammogram features allowed for distinguishing between the samples from lung cancer patients and healthy candidates with a mean accuracy of 0.73. The capacitive component from the non-Faradic electrochemical impedance spectroscopy data indicated the tumor marker’s presence in a sample. These findings allowed for the creation of highly informative aptasensors for early lung cancer diagnostics
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