HIERARCHICAL CLUSTERIZATION AND DEEP LEARNING MODEL RANDOM FOREST OF BANKS’ STABILITY UNDER RISK CONDITIONS

Certain theoretical aspects of the stability of Russian banks under risk conditions have been studied. The relevance is due to the fact that in conditions of market uncertainty and risk, approaches to ensure the stability of banks using artificial intelligence are increasingly being used. The goal is to identify patterns between the characteristics of Assets and ROA (Return on Assets), an indicator of return on assets, and obtain a forecast value of Sberbank’s net profit. The result of the study was hierarchical clustering, as well as the generated Deep Learning model Random Forest, which calculated the predicted value of the Sberbank’s net profit. The novelty lies in the fact that the work puts forward and proves the hypothesis that using the Random Forest Deep learning model, a forecast of the net profit of commercial banks can be obtained, which predetermines the stability and dynamics of their development. The conclusions from the study boil down to the fact that a Deep Learning model Random Forest was developed to forecast the amount of net profit, which for Sberbank for 2023 amounted to 38,631 billion rubles, which coincided with its actual value. The area of application of the results obtained is commercial banks

Использование методики «Сетевой самоотчет» для изучения специфики интернет-социализации подростков и юношей с нарушением интеллекта

Introduction. The study of specific characteristics of online socialization among adolescents and young adults with disabilities, especially intellectual disabilities, is a new and promising direction in special education that requires the development of methodological approaches and foundations for conducting research of this kind. Methods. The study of specifics characteristics of online socialization in individuals with intellectual disabilities is associated with a description of their socialization and online-based formation, in comparison with typically developing peers. Researchers should understand online interaction as a form of alternative communication, a way of adaptation and a potential source of online risks individuals face. The Internet User’s Self-report diagnostic tool was tested using the samples of typically developing adolescents and young adults (n = 181) and respondents of the same age with intellectual disabilities (n = 119). Results. Testing the Internet User’s Self-report using samples of adolescents and young adults with mental retardation and their typically developing adolescents showed that this diagnostic tool is easily understood by respondents from both groups and can identify qualitative and quantitative differences between the samples. The respondents with mental retardation show less online activity related to search for information and a low awareness of online phenomena and the phenomena of online interaction; they use the Internet as an additional field for realizing the need for communication and more aggressively protect their online interaction space from parental control. Discussion. The presented data open up promising directions of research in the field of online socialization of students with developmental disabilities, including (a) primary screening within the framework of the primary disease in comparison with typically developing peers, (b) in-depth study of age ranges within nosologies and identification of age differences within nosological groups, and (c) differentiated study comparing different nosological categories and identifying intergroup differences.Введение. Изучение специфики сетевой социализации подростков и юношей с ОВЗ и, в частности, с нарушением интеллекта является новым и перспективным направлением в специальной психологии и нуждается в разработке методологических подходов и методических основ проведения исследований подобного рода. Методы. Изучение специфики сетевой социализации лиц с нарушением интеллекта связано с описанием особенностей их социализационно-сетевого становления, в сравнении с нормативно развивающимися сверстниками предполагающим понимание исследователем интернет-взаимодействия как формы альтернативной коммуникации, способа адаптации и потенциального источника сетевых рисков личности. Методический инструментарий представлен авторской методикой «Сетевой самоотчет», апробированной с участием 181 респондента подросткового и юношеского возраста с нормативным развитием и 119 респондентов тех же возрастов с нарушением интеллекта. Результаты. Апробация методики «Сетевой самоотчет» с участием выборок подростков и юношей с умственной отсталостью и их нормативно развивающихся сверстников показала, что данный инструментарий доступен для выполнения респондентам обеих групп и применим для выявления качественно-количественных различий между выборками. У респондентов с умственной отсталостью наблюдаются меньшая активность в Сети по поиску информации, низкая осведомленность о сетевых явлениях и феноменах сетевого взаимодействия, использование Интернета как дополнительного поля реализации выраженной потребности в общении и более агрессивная защита своего сетевого пространства от вмешательства родителей. Обсуждение результатов. Представленные данные открывают ряд перспективных направлений исследования в предметной области сетевой социализации обучающихся с нарушением развития: 1) первичный скрининг в рамках ведущего нарушения по сравнению с нормативно развивающимися сверстниками; 2) углубленное исследование по возрастным диапазонам в рамках одной нозологии и выявление возрастных различий внутри одной нозологической группы; 3) дифференцированное исследование по сравнению разных нозологических категорий и выявлению межгрупповых различий

Geochemical composition of sediment samples from Krasnov field in the Mid Atlantic Ridge

This paper is dedicated to the geochemical studies of two bottom sediment cores that were taken during cruise 28 of the R/V Professor Logachev in the Mid-Atlantic Ridge (MAR) 16°38'N area in 2006. The chemical compositions of background metalliferous and ore (ore-bearing) carbonate sediments are presented and inter-element correlations are examined. Individual episodes are distinguished in the accumulation history of the ore-bearing and metalliferous sediments on the basis of element factor analysis

(Table 2) Grain size composition of bottom sediments from Core SO201-2-101, Shirshov Ridge, Bering Sea

Analysis of lithology, grain-size composition, clay minerals, and geochemistry of Upper Pleistocene bottom sediments from the submarine Shirshov Ridge (Bering Sea) showed that the Yukon-Tanana terrane of the Central Alaska was main source area of the sediments. Sedimentary material was transported by the Yukon River through Beringia up to the shelf break, where they were entrained by a strong north-west sea current. Lithological data revealed several pulses of ice-rafted debris deposition roughly synchronous with Heinrich events and periods of weaker bottom current intensity. Based on geochemical results we distinguished intervals of an increase in paleoproductivity and extension of the oxygen minimum zone. Our results suggest that there were three stages of deposition driven by glacioeustatic sea-level fluctuations and glacial cycles in Alaska