scholarly journals Features of the Sovereignty of Psychological Space in Adolescents with Different Levels of Suicidal Risk

Author(s):  
Olga A. Elkina

In the framework of this work, the features of the sovereignty of the psychological space of adolescents with different levels of suicidal risk were investigated. Most adolescents have an average level of suicidal risk. Adolescents with a high level of suicidal risk are characterized by deprivation of the psychological space.

Author(s):  
N.N BIKTINA ◽  

The article is devoted to the topical topic of the relationship between the level of motivation for success, self-esteem and personal characteristics of students. In today's reality, to achieve high results in life, young people need to constantly motivate themselves to achieve success. Previously, scientists have found that the properties of personality affect the features of motivation to achieve success, and the features of motivation, becoming fixed, become the properties of personality. The article presents the results of a study of personal characteristics of students with different levels of success. The study found that students with an average level of motivation to achieve success are more anxious than students with a high level of motivation to achieve. Students with a high level of motivation to achieve success are characterized by such personal properties as lability, spontaneity and a high level of self-esteem. Respondents with a high level of motivation for success are more spontaneous, they are focused on meeting the needs for knowledge and self-realization, and can act based on their own beliefs and attitudes, while using a creative approach. The author revealed a correlation between the indicators of aggression, spontaneity and motivation to achieve success in fourth-year students. Lability affects students ' self-esteem. The results of the research and presented in this article can be interesting and useful to psychologists, teachers, coaches working with students in order to form motivation for success in educational and professional activities.


Author(s):  
Oksana Alexandrovna Kondrashikhina ◽  
Irina Aleksandrovna Tikhomirova

The article contains results of diagnostics of creativity and tolerance to the uncertainty of psycholo-gy students. An analysis of statistically significant differences in creativity (originality and uniqueness) in students with different levels of uncertainty tolerance showed that students with an average level of to-lerance for uncertainty have higher creativity rates than students with a high level of tolerance for uncer-tainty. On the one hand, these students are characterized by a certain ability to perceive new, ambi-guous, unstructured situations, not as a threatening factor, but as a challenge-containing situation, with-out experiencing pronounced negative emotions. On the other hand, these students are characterized by optimal emotional inclusion, increased activation, a desire to overcome uncertainty, as well as a certain, constructive “intolerance” to uncertainty. This contributes to the production of attempts to solve the situ-ation, find a solution to the problem, activates the creative potential of the person.


2019 ◽  
pp. 146-157
Author(s):  
T. Titova

Article deals with the problem of the professional orientation as one of the complex integrative phenomenon. The necessity of studying of self-regulation in relation to the professional orientation is grounded. The results of investigation of future psychologists with different levels of self-regulation are presented. It has been shown that psychological content of the professional orientation is closely connected to the level of self-regulation. The high level of the professional orientation correlates with the domination of humanistic and pragmatic orientations. Such respondents display average level (with the tendency to the high level) of self- regulation, flexibility and good planning. Average level of the professional orientation correlates with the domination of humanistic and existential orientations, average level of self-regulation, flexibility and results evaluating. Low level of the professional orientation correlates with the domination of humanistic and egocentric orientations, average level (with the tendency to the low level) of self-regulation, flexibility and planning.


Aerospace ◽  
2021 ◽  
Vol 8 (3) ◽  
pp. 61
Author(s):  
Dominik Eisenhut ◽  
Nicolas Moebs ◽  
Evert Windels ◽  
Dominique Bergmann ◽  
Ingmar Geiß ◽  
...  

Recently, the new Green Deal policy initiative was presented by the European Union. The EU aims to achieve a sustainable future and be the first climate-neutral continent by 2050. It targets all of the continent’s industries, meaning aviation must contribute to these changes as well. By employing a systems engineering approach, this high-level task can be split into different levels to get from the vision to the relevant system or product itself. Part of this iterative process involves the aircraft requirements, which make the goals more achievable on the system level and allow validation of whether the designed systems fulfill these requirements. Within this work, the top-level aircraft requirements (TLARs) for a hybrid-electric regional aircraft for up to 50 passengers are presented. Apart from performance requirements, other requirements, like environmental ones, are also included. To check whether these requirements are fulfilled, different reference missions were defined which challenge various extremes within the requirements. Furthermore, figures of merit are established, providing a way of validating and comparing different aircraft designs. The modular structure of these aircraft designs ensures the possibility of evaluating different architectures and adapting these figures if necessary. Moreover, different criteria can be accounted for, or their calculation methods or weighting can be changed.


Electronics ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 73
Author(s):  
Francesco Ratto ◽  
Tiziana Fanni ◽  
Luigi Raffo ◽  
Carlo Sau

With the diffusion of cyber-physical systems and internet of things, adaptivity and low power consumption became of primary importance in digital systems design. Reconfigurable heterogeneous platforms seem to be one of the most suitable choices to cope with such challenging context. However, their development and power optimization are not trivial, especially considering hardware acceleration components. On the one hand high level synthesis could simplify the design of such kind of systems, but on the other hand it can limit the positive effects of the adopted power saving techniques. In this work, the mutual impact of different high level synthesis tools and the application of the well known clock gating strategy in the development of reconfigurable accelerators is studied. The aim is to optimize a clock gating application according to the chosen high level synthesis engine and target technology (Application Specific Integrated Circuit (ASIC) or Field Programmable Gate Array (FPGA)). Different levels of application of clock gating are evaluated, including a novel multi level solution. Besides assessing the benefits and drawbacks of the clock gating application at different levels, hints for future design automation of low power reconfigurable accelerators through high level synthesis are also derived.


2021 ◽  
Vol 11 (3) ◽  
pp. 1223
Author(s):  
Ilshat Khasanshin

This work aimed to study the automation of measuring the speed of punches of boxers during shadow boxing using inertial measurement units (IMUs) based on an artificial neural network (ANN). In boxing, for the effective development of an athlete, constant control of the punch speed is required. However, even when using modern means of measuring kinematic parameters, it is necessary to record the circumstances under which the punch was performed: The type of punch (jab, cross, hook, or uppercut) and the type of activity (shadow boxing, single punch, or series of punches). Therefore, to eliminate errors and accelerate the process, that is, automate measurements, the use of an ANN in the form of a multilayer perceptron (MLP) is proposed. During the experiments, IMUs were installed on the boxers’ wrists. The input parameters of the ANN were the absolute acceleration and angular velocity. The experiment was conducted for three groups of boxers with different levels of training. The developed model showed a high level of punch recognition for all groups, and it can be concluded that the use of the ANN significantly accelerates the collection of data on the kinetic characteristics of boxers’ punches and allows this process to be automated.


Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5136
Author(s):  
Bassem Ouni ◽  
Christophe Aussagues ◽  
Saadia Dhouib ◽  
Chokri Mraidha

Sensor-based digital systems for Instrumentation and Control (I&C) of nuclear reactors are quite complex in terms of architecture and functionalities. A high-level framework is highly required to pre-evaluate the system’s performance, check the consistency between different levels of abstraction and address the concerns of various stakeholders. In this work, we integrate the development process of I&C systems and the involvement of stakeholders within a model-driven methodology. The proposed approach introduces a new architectural framework that defines various concepts, allowing system implementations and encompassing different development phases, all actors, and system concerns. In addition, we define a new I&C Modeling Language (ICML) and a set of methodological rules needed to build different architectural framework views. To illustrate this methodology, we extend the specific use of an open-source system engineering tool, named Eclipse Papyrus, to carry out many automation and verification steps at different levels of abstraction. The architectural framework modeling capabilities will be validated using a realistic use case system for the protection of nuclear reactors. The proposed framework is able to reduce the overall system development cost by improving links between different specification tasks and providing a high abstraction level of system components.


2021 ◽  
Vol 92 (2) ◽  
pp. 101-105
Author(s):  
A. L. Tserkovskiy ◽  
◽  
O. I. Gapova ◽  
E. A. Skorikova ◽  
S. A. Petrovich ◽  
...  

The purpose of this research is to study the need for the students' communication activity component at the Pharmaceutical faculty of VSMU. Dual feature of the levels indicators dynamics in the need for communication is revealed. On the one hand, there is a tendency to reduce the average level in the need for communication and to increase its high level at the expense of girls. On the other hand, there is a fairly significant increase in the average level in the need for communication among young men against the background of an obvious predominance of the average level in the need for communication among the students of the entire sampling. The study allows us to state obvious influence of the informational educational environment at VSMU on the personal growth of students at the Pharmaceutical faculty, on the formation of their communicative competence as the most important component of the professional competence of future pharmacists. The results of the study can be used in the educational process of VSMU, in the activities of the social and pedagogical and psychological service, in the work of educators in academic groups and for tutors.


1987 ◽  
Vol 10 (3) ◽  
pp. 407-436 ◽  
Author(s):  
Michael A. Arbib

AbstractIntermediate constructs are required as bridges between complex behaviors and realistic models of neural circuitry. For cognitive scientists in general, schemas are the appropriate functional units; brain theorists can work with neural layers as units intermediate between structures subserving schemas and small neural circuits.After an account of different levels of analysis, we describe visuomotor coordination in terms of perceptual schemas and motor schemas. The interest of schemas to cognitive science in general is illustrated with the example of perceptual schemas in high-level vision and motor schemas in the control of dextrous hands.Rana computatrix, the computational frog, is introduced to show how one constructs an evolving set of model families to mediate flexible cooperation between theory and experiment. Rana computatrix may be able to do for the study of the organizational principles of neural circuitry what Aplysia has done for the study of subcellular mechanisms of learning. Approach, avoidance, and detour behavior in frogs and toads are analyzed in terms of interacting schemas. Facilitation and prey recognition are implemented as tectal-pretectal interactions, with the tectum modeled by an array of tectal columns. We show how layered neural computation enters into models of stereopsis and how depth schemas may involve the interaction of accommodation and binocular cues in anurans.


2018 ◽  
Vol 2018 ◽  
pp. 1-11 ◽  
Author(s):  
Hai Wang ◽  
Lei Dai ◽  
Yingfeng Cai ◽  
Long Chen ◽  
Yong Zhang

Traditional salient object detection models are divided into several classes based on low-level features and contrast between pixels. In this paper, we propose a model based on a multilevel deep pyramid (MLDP), which involves fusing multiple features on different levels. Firstly, the MLDP uses the original image as the input for a VGG16 model to extract high-level features and form an initial saliency map. Next, the MLDP further extracts high-level features to form a saliency map based on a deep pyramid. Then, the MLDP obtains the salient map fused with superpixels by extracting low-level features. After that, the MLDP applies background noise filtering to the saliency map fused with superpixels in order to filter out the interference of background noise and form a saliency map based on the foreground. Lastly, the MLDP combines the saliency map fused with the superpixels with the saliency map based on the foreground, which results in the final saliency map. The MLDP is not limited to low-level features while it fuses multiple features and achieves good results when extracting salient targets. As can be seen in our experiment section, the MLDP is better than the other 7 state-of-the-art models across three different public saliency datasets. Therefore, the MLDP has superiority and wide applicability in extraction of salient targets.


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