scholarly journals On the question of lending to individuals with different level of self-actualization

2021 ◽  
pp. 51-69
Author(s):  
Oxana Vasil'evna Kireeva

The subject of this research is the indicators of attitude on the lending to individuals with different level of self-actualization. This article examines the differences in attitudes to lending among individuals with different levels of self-actualization. The hypothesis was tested that the higher is the level of self-actualization, the more is the likelihood of referring to constructive ways of coping with the loan debt. For verification of the hypothesis, the article employs the questionnaire “Attitude to Loans” (A. N. Demin, O. V. Kireeva, E. Y. Pedanova), Self-actualization test (SAT) by E. Shostrom (adapted by Y. E. Aleshin, L. Y. Gozman, M. V. Zagika and M. V. Kroz). The link is established between certain indicators of self-actualization, awareness and motiv for lending. It is determined that self-actualizing individuals are willing to render financial assistance in form of loans to others; while individuals with low level of self-actualization are not willing to take on a loan for others. The conclusion is made that the borrowers with low indicators of self-actualization are characterized with low level of self-acceptance, spontaneity and resistance to aggression; they are aware of the experience of relatives and friends in receiving loans; the believe that loan would help them to accomplish their dream in the nearest future and not willing to take on loan to solve other people's problems. In the subgroup of the borrowers with high level of self-actualization correlation is established between the indicators of self-actualization that characterize the peculiarities of worldview and creativity of self-actualizing personality, awareness and motives for lending. The representatives of the subgroup “pseudo-self-actualization” are characterized with low level of creativity and fear to take on loans. The acquired results can be implemented within the framework of correctional and developmental work with the borrowers and debtors.

2020 ◽  
Vol 8 (4) ◽  
Author(s):  
Tatiana Krasnyanskaya ◽  
Valery Tylets ◽  
Alexander Lyakhov

The choice of psychological security issues as the subject of the article is determined by modern realities, which determined its social significance and research attractiveness. Tolerance to uncertainty is currently considered as one of the subject characteristics that have an uncertain status in relation to human security. Turning to the analysis of the security phenomenon as a complex phenomenon that has a semantic, emotional, behavioral and temporal dimension makes it possible to apply the construction procedure to it as an action to bring various elements into a certain mutual position. The purpose of the work was to study the features of mental construction of security by subjects with different levels of tolerance to uncertainty. Achieving the research goal was based on a scenario approach. The general research hypothesis is the assumption that subjects with different levels of tolerance to uncertainty build different security scenarios for themselves. The hypothesis was tested using the methods of free association, subjective scaling, and the technique of T.V. Kornilova “New questionnaire of tolerance to uncertainty”. At the stage of processing empirical data, the simplest mathematical statistics were used (finding the average, percentage distribution, statistical scope) and a nonparametric comparison method, the criterion φ*-Fisher’s angular transformation. The study was conducted on the material of students (20–21 years old) with a high (50 persons) and low (50 persons) level of tolerance to uncertainty. Statistically significant differences in the cognitive and semantic parameter of the security scenario between subjects with a high and low level of tolerance to uncertainty are established by the perception of security through its experience and identification. According to the emotional parameter of the scenario, a statistical trend towards the predominant experience of positive emotions in relation to security in subjects with a low level of tolerance to uncertainty was revealed. According to the behavioral parameter of the scenario, differences between subjects with different levels of tolerance to uncertainty were traced in relation to the propensity to overcome danger (statistically significant), to escape from danger and to prevent danger (statistical trends). According to the temporal parameter of the scenario, subjects with different levels of tolerance significantly differ in the choice of zones of medium (high level) and near (low level) prospects for their security. Comparison of the quantitative composition of the final arrays of security scenarios revealed a statistically significant tendency to the predominance of their variations in subjects with a high level of tolerance to uncertainty in comparison with the variations of scenarios in subjects with a low level of tolerance to uncertainty. According to the results of the study, the hypothesis is confirmed. The article presents the experience of a multidimensional study of subject security and fixing its results in the form of a symbolically encrypted script. The obtained results confirmed the variability of mental security scenarios due to the tolerance to uncertainty of their subjects. The paper proposes a method for constructing a study that can be used to study the relationship of subject security with other psychological characteristics of a person.


Author(s):  
Margarita Khomyakova

The author analyzes definitions of the concepts of determinants of crime given by various scientists and offers her definition. In this study, determinants of crime are understood as a set of its causes, the circumstances that contribute committing them, as well as the dynamics of crime. It is noted that the Russian legislator in Article 244 of the Criminal Code defines the object of this criminal assault as public morality. Despite the use of evaluative concepts both in the disposition of this norm and in determining the specific object of a given crime, the position of criminologists is unequivocal: crimes of this kind are immoral and are in irreconcilable conflict with generally accepted moral and legal norms. In the paper, some views are considered with regard to making value judgments which could hardly apply to legal norms. According to the author, the reasons for abuse of the bodies of the dead include economic problems of the subject of a crime, a low level of culture and legal awareness; this list is not exhaustive. The main circumstances that contribute committing abuse of the bodies of the dead and their burial places are the following: low income and unemployment, low level of criminological prevention, poor maintenance and protection of medical institutions and cemeteries due to underperformance of state and municipal bodies. The list of circumstances is also open-ended. Due to some factors, including a high level of latency, it is not possible to reflect the dynamics of such crimes objectively. At the same time, identification of the determinants of abuse of the bodies of the dead will reduce the number of such crimes.


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.


Author(s):  
Guoliang Fan ◽  
Yi Ding

Semantic event detection is an active and interesting research topic in the field of video mining. The major challenge is the semantic gap between low-level features and high-level semantics. In this chapter, we will advance a new sports video mining framework where a hybrid generative-discriminative approach is used for event detection. Specifically, we propose a three-layer semantic space by which event detection is converted into two inter-related statistical inference procedures that involve semantic analysis at different levels. The first is to infer the mid-level semantic structures from the low-level visual features via generative models, which can serve as building blocks of high-level semantic analysis. The second is to detect high-level semantics from mid-level semantic structures using discriminative models, which are of direct interests to users. In this framework we can explicitly represent and detect semantics at different levels. The use of generative and discriminative approaches in two different stages is proved to be effective and appropriate for event detection in sports video. The experimental results from a set of American football video data demonstrate that the proposed framework offers promising results compared with traditional approaches.


2021 ◽  
Vol 20 (2) ◽  
Author(s):  
Katarzyna Pawlewicz ◽  
Justyna Flasińska

The main goal of all territorial administration units, including municipalities, is to promote socioeconomic development. The implemented actions address a broad range of economic, social, spatial and environmental issues. Therefore, socioeconomic development is a complex and multi-dimensional concept that is difficult to evaluate in an unambiguous and objective manner. Statistical methods in object-based multidimensional modeling support such evaluations by considering numerous attributes/variables, which increases the efficiency of the analytical process. In this article, Hellwig’s development pattern method was applied to classify rural municipalities in Podkarpackie Voivodeship based on their socioeconomic development. Twenty-seven indicators were designed for the needs of the analysis with the use of Statistics Poland data for 2018. Based on the results, the municipalities were grouped into four classes with different levels of socioeconomic development. Class III was the largest group, and it was composed of 39 municipalities with a medium-low level of socioeconomic development. Class II was composed of a similar number of municipalities (38) with a medium-high level of socioeconomic development. The smallest groups were Class I containing 18 municipalities with a high level of socioeconomic development, and class IV containing 14 municipalities with a low level of development.


2020 ◽  
Vol 24 (1) ◽  
pp. 31-39
Author(s):  
Mikhail M. Kolokoltsev ◽  
Wladyslaw Jagiello

Background and Study Aim. To prevent hypodynamics, to evaluate the volume and level of weekly physical activity of the university's senior students. Material and methods. The study involved students (n = 244) aged 19-20 years (n = 157 - boys, n = 87 - girls). The students studied in the 4th year of the Technical University (Russia). The following parameters were investigated: physical activity (PA), the intensity of metabolic processes and motor skills. The volume of weekly physical activity was determined by a short form of the IPAQ-SF physical activity questionnaire. The level of physical activity intensity was determined by the formula of a metabolic equivalent of task (MET) (min/week). According to MET, students are divided into three groups: 1st group with a high level; 2nd group with average level; 3rd group with low level. The battery of motor tests used to evaluate students' physical preparedness. Results. The total intensive and non-intensive weekly motor activity of boys was 6.2 hours (372 min). This confirms with the standard volume (6 hours) recommended by WHO. The total motor activity of the girls (intense and non-intense) was 4.5 hours (271.6 min) per week. More than a quarter of the surveyed boys had a high level of physical activity. About 62% of students had an average level and 12.7% had a low level. Among all surveyed girls 16.1% have a high level of physical activity, 41.4% had an average level and 42.5% had a low level. The results of boys with a low level of physical activity in all motor tests were lower than the results of boys with high and average levels of physical activity. The exception was the results of the Seated Forward Bend test (p <0.05). In 6 motor tests, the results of girls with a low level of physical activity were worse than the results of female students with a high level of weekly physical activity (p <0.05). There are no significant differences between the test results in girls with low and average levels of weekly physical activity.  Conclusions. After completing the course on the subject "Elective Courses in Physical Culture and Sports", the physical activity of students remains high enough. 12.7% of boys and 42.5% of girls with low levels of physical activity and MET were identified among the surveyed student population. This allows aligning them into a group at risk of developing non-communicable diseases. To reduce the hypodynamics of junior courses students at risk, it should use individually directed pedagogical technologies of physical education. In presenting the theoretical section of the subject "Physical Culture" to the senior courses students it is necessary to strengthen their motivation for independent motor activity.


Author(s):  
Xinge Zhu ◽  
Liang Li ◽  
Weigang Zhang ◽  
Tianrong Rao ◽  
Min Xu ◽  
...  

Visual emotion recognition aims to associate images with appropriate emotions. There are different visual stimuli that can affect human emotion from low-level to high-level, such as color, texture, part, object, etc. However, most existing methods treat different levels of features as independent entity without having effective method for feature fusion. In this paper, we propose a unified CNN-RNN model to predict the emotion based on the fused features from different levels by exploiting the dependency among them. Our proposed architecture leverages convolutional neural network (CNN) with multiple layers to extract different levels of features with in a multi-task learning framework, in which two related loss functions are introduced to learn the feature representation. Considering the dependencies within the low-level and high-level features, a new bidirectional recurrent neural network (RNN) is proposed to integrate the learned features from different layers in the CNN model. Extensive experiments on both Internet images and art photo datasets demonstrate that our method outperforms the state-of-the-art methods with at least 7% performance improvement.


Author(s):  
T. S. Pilipenko ◽  

In experimental psychology, the problem of non-acceptance of oneself, one’s environment, and the world around is one of the relevant issues. The author notes that the accepted in contemporary society popular opinions associated with self-acceptance often have manipulative or prescriptive nature and are the negative attitudes blocking the person activity and leading to its stagnation. The resolution of the stereotyped image of this phenomenon is possible from the perspective of historical-theoretical analysis of the study of self-acceptance. The paper presents various approaches to the understanding of self-acceptance by foreign and Russian psychologists within such psychology areas as neofreidism, gestalt-psychology, existential, and humanistic psychology. The author considers the changes in the study of self-acceptance, notes that despite different views of classical psychologists on the understanding of this phenomenon, they define self-acceptance as an active process promoting self-improvement and self-actualization of a person. This fact conflicts with the latent meaning of widespread life theses on self-acceptance. The paper emphasizes the possibility to study self-acceptance from the perspective of the subject approach as a phenomenon initiating the activity of a person in organization and regulation of own life activities, promoting further development of a person, its self-actualization. The author considers the controversial characteristics of self-acceptance as a subject characteristic: self-acceptance allows changing from self-understanding to self-improvement, at the same time, the high level of self-acceptance requires a particular level of development of the personal agency. The author notes the paradoxical understanding of the self-acceptance phenomenon largely within the frames of positive self-attitude, which can promote the “Self” image idealism and lead to intrapersonal regress.


Author(s):  
Nataliia Podolyak

Abstract. The article presents the results of an empirical study of the ratio of emotional intelligence and adaptability. Theoretical and empirical study of the problem revealed that emotional intelligence, which ensures the success of interpersonal interaction, can be considered as one of the indicators of adaptability and is an important property that ensures the success of adaptation. Emotional intelligence indicators have been found to be closely related to adaptive indicators, and these properties reinforce each other. The empirical part of the study was to study the relationship between indicators of emotional intelligence and indicators of personality adaptability, to identify the specifics of emotional intelligence in people with different levels of adaptability. An empirical study using valid and reliable psychodiagnostic tools revealed that there are individual differences in the manifestations of emotional intelligence in people with different levels of adaptability. The aces and profiles method found that there are differences in the manifestations of emotional intelligence in groups of people with different levels of adaptability. It is empirically established that a group of people with a high level of adaptability is generally characterized by a high level of emotional intelligence, while a group of people with a low level of adaptability demonstrates a low level of emotional intelligence. The use of the method of ranking indicators made it possible to establish the most significant manifestations of emotional intelligence in relation to adaptability. In general, the results of the study indicate that the phenomena studied function in a single phenomenological space and mutually reinforce each other.


2017 ◽  
Vol 8 (1) ◽  
pp. 53 ◽  
Author(s):  
Syelfia Dewimarni

This research in a descriptive it was done in academic year 20016/2017. The subject of this research was SI 10 class of UPI YPTK Padang who attended linier algebra class consisted 48 students. Purpose of this research was to give description about students’ ability understanding concept of communication in Liniear algebra class with vector subtopic. Students’ ability and understanding concept of communication was described in a whole, students with high level and student with low level. Research instrumentation was ability and understanding communication concept test. Test result was descripted quantitatively and some of students’ answer was descripted qualitatively. Based on result, for the students’ communication ability 63,58% in a whole, 50,05% in high level and 50% in a low level had ability in a making a presentation with visual or picture to clearer the problem and to facilitate its solution. For students’ understanding in communication concept 65,44% in a whole, 81,34% in high level and 46,29% in low level who understanding concept ability in explain the concept correctly and use the concept in right way.


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