The study provides insights into the aspects of creativity, the structure of psychometric intelligence, and personal adaptation resources of senior preschool children. Creativity and intelligence are presented as general adaptation resources. Existing studies of creative ability and creativity as integral individual characteristics in the context of adaptation are analyzed. The aim is to identify varied sets of creativity and personal adaptation resource markers that differentiate groups of children in order to determine possible strategies for adaptation, preservation, and development of their creative abilities at the beginning of lyceum schooling. It embraces the use of the E. Torrance Test of Creative Thinking (TTCT) (figural version), the Wechsler Intelligence Scale for Children (WISC), and the G. Rorschach Test. A sample of the study consisted of 122 children, aged 6-7 and enrolled in a school. The average IQ score among the children was above 115 (M = 133.7, σ = 9.9). The entire sample was divided into four groups by the originality-elaboration ratio according to the TTCT. The correctness of the children's division into the groups according to the markers of creativity and personal adaptation resources is confirmed by the discriminant analysis. We have identified the factor structure of creativity, intelligence, and personal adaptation resources in the entire sample of children and in each of the groups. In the group of preschoolers with high originality and elaboration, the resulting structure integrated the components of creativity with personal adaptation resources and intelligence scores. In the group of children with a low level of originality and elaboration, the markers of creativity, intelligence, and personal adaptation resources are not interlinked.

The present study investigates the relationship between individual differences in verbal and non-verbal cognitive abilities and resting-state EEG network characteristics. We used a network neuroscience approach to analyze both large-scale topological characteristics of the whole brain as well as local brain network characteristics. The characteristic path length, modularity, and cluster coefficient for different EEG frequency bands (alpha, high and low; beta1 and beta2, and theta) were calculated to estimate large-scale topological integration and segregation properties of the brain networks. Betweenness centrality, nodal clustering coefficient, and local connectivity strength were calculated as local network characteristics. We showed that global network integration measures in the alpha band were positively correlated with non-verbal intelligence, especially with the more difficult part of the test (Raven’s total scores and E series), and the ability to operate with verbal information (the “Conclusions” verbal subtest). At the same time, individual differences in non-verbal intelligence (Raven’s total score and C series), and vocabulary subtest of the verbal intelligence tests, were negatively correlated with the network segregation measures. Our results show that resting-state EEG functional connectivity can reveal the functional architecture associated with an individual difference in cognitive performance.

Digitally-mediated communication and remote leadership have become an indispensable component of today's working world (Kahai, Fjermstead, Zhang, & Avolio, 2007). Knowledge gap. The question arises how leaders can lead effectively, despite remote conditions: to what extent are leaders able to influence their employees when relying on technology-mediated communication (Driskell, Radtke, & Salas, 2003) and to what extent they predict transformational and transactional leadership work efficacy (Neufeld, Wan, & Fang, 2010)? News value. Differentiation between transactional contingent reward and management-by-exception leadership. Simultaneous investigation of all active leadership behavior defined in the full range of leadership model (Bass & Avolio, 1990) in a digital setting.

The urgency of the study on the system of psychophysiological and psychological (temperamental and personal) factors of stress exposure in a situation of professional evaluation of the subjects is considered. The results of the empirical study of stress factors including psychophysiological, temperological and personal characteristics of the subjects are given. The analysis is made with the use of hardware–software system ‘Aktivatsiometr 9К’ by Y.А. Tsagarelli to detect psychophysiological parameters (functional hemispheric asymmetry, activation of the brain hemispheres, strength and lability of the nervous system), «Structure of temperament questionary» by V.М. Rusalov, and diagnosis of the strategic options for choosing a life journey ofthe ‘Typology of Personal Choice’ by V.G. Gryazeva-Dobshinskaya and A.S. Maltseva. Individually typological, as well as dynamic and activity-situational (in a situation of professional evaluation) characteristics of activation and hemispheric asymmetry of the subjects are calculated. Stress reaction is detected, provided individual-typological and activity situational characteristics of activation of the subjects differ by more than 1.5 times. Fifty-six senior students aging between 20 and 25 are the sample of the analysis. The sample is divided into two groups in accordance with the response to the situation of assessment of professional competence: group 1 (n1 = 19 people) with a detected stress reaction, group 2 (n1 = 37 people), in which the stress reactionis not detected. The correctness of the obtained differentiation in the groups of students, differing in the system of indicators of psychophysiological, temperological and personal characteristics is proved with the help of discriminate analysis. The model of stress exposure in a situation of professional evaluation is developed. Keywords: functional hemispheric asymmetry, everyday stress, professional evaluation, temperamental characteristics, personal choice

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