Теорія та практика менеджменту безпеки

У збірнику подано тези доповідей та виступів учасників Міжнародної науково-практичної конференції, присвяченої питанням теорії менеджменту безпеки, безпеки особистості, прикладним аспектам забезпечення соціальної, екологічної, економічної безпеки підприємств, питанням механізму забезпечення соціоекологоекономічної безпеки регіону, проблемам забезпечення національної безпеки

Remote Results of Surgical Treatment of Patients with Proximal Humeral Fractures

Proximal humeral fractures constitute 5-8% of all the fractures of the limbs and 80% of fractures of the upper arm. To report about remote results of the suggested tactics of surgical treatment of proximal humeral fractures. Satisfactory results of treatment were found in 21 (80,7%) patients out of 26 (72%), who underwent closed reduction of fractures with pin fixation. This group of patients achieved consolidation in optimal terms, and the function of the shoulder joint was satisfactory with abduction angle of 90°. 2 (7,7%) patients experienced secondary dislocation of fragments and their QuickDASH score was 38.4. 3 (11,6%) patients achieved consolidation of fracture, but stable contracture of the shoulder joint occurred. Their QuickDASH score was 38.4. Osteosynthesis with plates was performed in 10 patients. 3 (30%) of them developed aseptic necrosis of the humeral bone head, 2 (20%) patients developed suppuration of the soft tissues which produced a negative effect of the patients' ability to work ‒ QuickDASH score 42,7, 5 (50%) patients admitted satisfactory results of treatment ‒ QuickDASH score 21,5. Osteosynthesis with plates was performed in 10 patients. 3 (30%) of them developed aseptic necrosis of the humeral bone head, 2 (20%) patients developed suppuration of the soft tissues which produced a negative effect of the patients' ability to work ‒ QuickDASH score 42,7, 5 (50%) patients admitted satisfactory results of treatment ‒ QuickDASH score 21,5. The tactics of surgical treatment of patients with proximal humeral fracturesdepends on the following: type of a fracture, patient's age, concomitant pathology and osteoporosis available, and patient's social needs

Development of the Linguometric Method for Automatic Identification of the Author of Text Content Based on Statistical Analysis of Language Diversity Coefficients

We have developed the linguometric method for algorithmic support of content monitoring processes to solve the problem of the automatic identification of the author of the Ukrainian text content based on the technology of statistical analysis of the language diversity coefficients. The decomposition of the method for identification of the author based on the analysis of such speech factors as lexical diversity, degree (measure) of syntactic complexity, speech coherence, indexes of exclusivity and concentration of a text was performed. Such parameters of the author's style as the number of words in the specified text, the total number of words in this text, the number of sentences, the number of prepositions, the number of conjunctions, the number of words with the frequency of 1, the number of words with the frequency of 10 and more were analyzed. The features of the developed methods are the adaptation of the morphological and syntactic analysis of lexical units to the peculiarities of the structures of Ukrainian words/texts. That is, when analyzing linguistic units of the word type, their belonging to a part of speech and declension within this part of speech was taken into account. For this, the flections of these words for their classification, separation of the base for the formation of the corresponding alphabetic-frequency dictionaries were analyzed. Filling these dictionaries was subsequently taken into consideration at the following stages of the identification of the authorship of a text, such as the calculation of parameters and coefficients of the author's speech. Syntactic words (stop or anchor) words are most essential for an individual style of an author, as they are not related to the subject and content of the publication. We compared the results in a set of 200 one-author papers in the technical area of more than 100 different authors over the period of 2001–2017 to determine if and how the coefficients of diversity of a text of these authors change within different periods of time. It was found that for the selected experimental base of more than 200 papers, the best results according to the density criterion are reached by the method for analysis of an article without the initial compulsory information, such as abstracts and keywords in different languages, as well as the list of literature

Analysis of the Developed Quantitative Method for Automatic Attribution of Scientific and Technical Text Content Written in Ukrainian

A formal approach was proposed to implement text content attribution. The study was conducted with Ukrainian scientific and technical texts. The results of application of the designed algorithms of automatic attribution of the text content based on the NLP and stylemetry methods were analyzed. Prospects and features of application of stylemetry information technologies for attribution of the text content were considered. Quantitative content analysis of scientific and technical text content takes advantage of content monitoring and text content analysis based on NLP, Web-Mining and stylemetry methods to identify the multitude of authors whose talking style is similar to that of the analyzed text fragment. This narrows the range of search for further use in the stylemetry methods to determine the degree of belonging of the analyzed text to a particular author.Decomposition of the attribution method was carried out based on analysis of such talking coefficients as lexical diversity, degree (measure) of syntactic complexity, talking coherence, indexes of exclusivity and concentration of the text. At the same time, author's style parameters such as the number of words in a certain text, the total number of words of this text, the number of sentences, the number of prepositions, the number of conjunctions, the number of words with occurrence frequency 1, the number of words with occurrence frequency 10 or more were analyzed. Further experimental study requires testing of the proposed method in identifying keywords of texts of other categories: scientific humanitarian, artistic, journalistic, etc