МОДЕЛИРОВАНИЕ ПРОЦЕССА ПРИНЯТИЯ РЕШЕНИЙ УЧАСТНИКАМИ НЕФОРМАЛЬНОГО СЕКТОРА РЫНКА ВЕНЧУРНЫХ ИНВЕСТИЦИЙ

A new approach for the evaluation of innovative projects by business angels, based on the concept of building color-graphic cards with further it’s processing by neural networks is proposed in this article. The most important criteria for evaluation of innovative projects in the deal flow and due diligence stages selected. Each criterion is supposed to be evaluated by six components, giving a complete picture of the extent of its study. The criteria, as well as its components, are ranked in order of importance for a business angel. A method of processing building color-graphic cards by neural network is also proposed in this work.В статье предложен новый подход к оценке инновационных проектов бизнес-ангелами, базирующийся на концепции построения цветографических карт с дальнейшей обработкой их нейронными сетями. Выделены наиболее значимые критерии оценки инновационных проектов на стадиях deal flow и due diligence. Каждый критерий предполагается оценивать по шести составляющим, дающим полное представление о степени его проработки. Критерии, а так же его составляющие, проранжированы по степени значимости для бизнес-ангела. Так же предложен метод обработки цветографической карты нейронной сетью

РАЗРАБОТКА ИНТЕЛЛЕКТУАЛЬНОЙ СИСТЕМЫ ДЛЯ РЕШЕНИЯ СЛОЖНЫХ ЗАДАЧ В СФЕРЕ ПРОМЫШЛЕННОЙ ПОЛИТИКИ НА ОСНОВЕ МЕТОДА МОНТЕ-КАРЛО1

The article considers one of the prioritiesin the field of artificial intelligence - Markovchains. The problem of forecasting the strategic investment directions in industrial policy by using a Monte Carlo method issolved.В данной статье рассматривается одно из приоритетных направлений в области искусственного интеллекта - цепи Маркова. Решается задача прогнозирования стратегических направлений инвестирования в сфере промышленной политики с помощью метода Монте-Карло

ПРОГРАММНАЯ РЕАЛИЗАЦИЯ ФОРМИРОВАНИЯ ЦВЕТОГРАФИЧЕСКИХ КАРТ ДЛЯ ОЦЕНКИ ИННОВАЦИОННЫХ ПРОЕКТОВ РАННИХ СТАДИЙ РАЗВИТИЯ

The article deals with functional program that allows to generate a visualrepresentation of the shareholder tothe innovative project early stage ofdevelopment, formed a color-based cards.В статье рассматривается функциональнаяпрограмма, позволяющаяформировать визуальное представление о представляемом на рассмотрение инновационномпроектераннейстадии развития, формируемое в виде цветографической карты

Predictors of thromboembolic complications in patients with severe SARS-CoV-2 coronavirus infection

Aim. To identify predictors of the development of thromboembolic complications (TECs) in patients with severe SARS-CoV-2 coronavirus infection. Materials and methods. A single-center observational retrospective study included 1634 patients with a confirmed diagnosis of SARS-CoV-2 coronavirus infection. The patients were divided into 2 groups depending on the availability of the feasibility study. The criterion for inclusion of patients in the main group was the presence of venous feasibility studies in 127 patients (group I), the comparison group consisted of 1507 patients in whom the course of COVID-19 was not complicated by the development of feasibility studies (group II). Results. When performing computed tomography of the chest organs, it was revealed that patients with a feasibility study had a higher percentage of lung tissue damage than patients in the comparison group: 55% [37.5; 67.5] and 37.5% [25.0; 47.5], respectively (p0.001). The average values of C-reactive protein in I patients group were 129 [60.1; 211] ng/l, which was significantly higher than in II patients group – 41.0 [12.2; 97.6] ng/l (p0.001), interleukin-6 – 176 [52.9; 471] pg/ml and 39.4 [11.0; 107] pg/ml (p0.001), respectively. A one-factor regression analysis proved a significant contribution of comorbid pathology to the development of feasibility studies in patients with COVID-19. The presence of three nosologies at the same time: arterial hypertension, coronary heart disease (CHD) and chronic kidney disease increased the probability of a feasibility study by 4.81 times (odds ratio 4.8117, 95% confidence interval 3.2064–7.2207), in patients with arterial hypertension, CHD, chronic kidney disease and type 2 diabetes – by 5.63 times (odds ratio 5.6321, 95% confidence interval 3.1870–9.9531). Conclusion. The presence of severe comorbid pathology significantly increased the risk of developing a feasibility study in patients with COVID-19. The most significant predictors of the development of feasibility studies in patients with severe SARS-CoV-2 coronavirus infection. They are: CHD, arterial hypertension and type 2 diabetes

MODELING OF PROCESS OF DECISION-MAKING BY PARTICIPANTS OF INFORMAL VENTURE MARKET

A new approach for the evaluation of innovative projects by business angels, based on the concept of building color-graphic cards with further it’s processing by neural networks is proposed in this article. The most important criteria for evaluation of innovative projects in the deal flow and due diligence stages selected. Each criterion is supposed to be evaluated by six components, giving a complete picture of the extent of its study. The criteria, as well as its components, are ranked in order of importance for a business angel. A method of processing building color-graphic cards by neural network is also proposed in this work

SOFTWARE IMPLEMENTATION OF FORMING OF COLOR-BASED CARDS FOR ASSESSMENT OF EARLY STAGES INNOVATION PROJECTS

The article deals with functional program that allows to generate a visualrepresentation of the shareholder tothe innovative project early stage ofdevelopment, formed a color-based cards

DEVELOPMENT OF INTELLIGENT SYSTEM FOR SOLVING OF IN INDUSTRIAL POLICY BY MONTE CARLO METHOD

The article considers one of the prioritiesin the field of artificial intelligence - Markovchains. The problem of forecasting the strategic investment directions in industrial policy by using a Monte Carlo method issolved

The development of a highly specific radiochemical compound based on labeled 99mtc recombinant molecules for targeted imaging of cells with the overexpression of Her-2 / neu

Currently, there is a urgent need to search for new diagnostic methods that allow us to reveal malignant tumors with the overexpression of Her-2/neu with high accuracy. In recent years radioisotope methods have been actively developing to identify specific tumor targets, with antibodies being the “targeting” module.The purpose of the study. Creation of a chemically stable radiochemical compound for the imaging of cells with the overexpression of Her-2/neu.Materials and methods. The study was conducted using two human adenocarcinoma cell lines with expression (BT-474) and without expression (MCF-7) Her-2/neu. The specificity of the binding of the test complex with Her-2/neu receptor was determined by direct radiometric and planar scintigraphy. To evaluate the differences in quantitative characteristics between the groups a non-parametric Mann – Whitney test was used.Results. The yield of the labeled complex was more than 91% and the radiochemical frequency was more than 94%. When performing a visual scintigraphic evaluation, a much higher accumulation rate of the studied radiopharmaceutical preparation (RFP) was observed in the culture of cells with overexpression of the surface Her-2/neu receptor. Direct radiometric results also demonstrated a higher accumulation of RFPs in the human BT-474 mammary adenocarcinoma cell line with Her-2/neu overexpression in comparison with the control group.Conclusion. Preclinical studies demonstrated high stability of the test compound, as well as its accumulation in the group of cells with Her-2/neu overexpressio