illegal behavior
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Vestnik NSUEM ◽  
2022 ◽  
pp. 166-177
Author(s):  
G. A. Khaziev

With the active development of the Russian stock market, new types of unfair practices and forms of illegal behavior of its participants appear. One of the latest problems that attracted the attention of the Central Bank of Russia was the influence of Telegram channels on the dynamics of shares in the Russian stock market. In order to comprehensively study the problem, based on the analysis of the publications of Telegram channels devoted to investment topics, the author identified 3 channels that most often publish investment ideas in order to influence the dynamics of the shares of a particular company. Next, 73 publications of trading ideas were selected and, using the Thomson Reuters Eikon database, the daily and weekly data on the dynamics of the stocks of the companies in the sample were downloaded. Based on the analysis of the data obtained, the mechanism and the degree of influence of the publications of Telegram channels on the dynamics of shares of individual companies of the Russian stock market, as well as the potential excessive profitability that could be obtained by administrators of Telegram channels, were determined.


Lex Russica ◽  
2021 ◽  
pp. 108-121
Author(s):  
T. V. Kashanina

The paper is interdisciplinary in nature: it is written at the intersection of legal theory and neuroscience. In legal science, the study of the causes of illegal behavior is carried out at different levels (psychological, sociological and philosophical). The novelty that this paper introduces is that it is proposed to conduct research on the causes of illegal behavior at the neurobiological level, which is almost more powerful than those mentioned above. The paper is aimed at solving the problem of using a neurobiological portrait of a person or a social group to prevent offenses. According to neurobiological features, people are divided into 4 categories: visual, auditory, kinesthetic and digital, which implies a different characteristic of them in terms of law abidance/delinquency. Knowledge of the neurobiological features of the subjects of law will allow the state to act “ahead of the curve”, and not wait for the commission of illegal actions to begin the fight against them. The question of the gender brain (or the features of the female and male brains) and its influence on the nature of delinquency is being investigated. The features of the adolescent brain are considered, which are able to activate not only prosocial behavior, but also antisocial. The use of neuroscience to explain the antisocial behavior of adolescents allows a deeper understanding of juvenile delinquency. The understanding of the peculiarities of the adolescent brain, it seems possible to develop many different measures in advance to direct their energy in the right way. Finally, neurobiological knowledge is also used to study the legal behavior of older people. The gerontological brain has both advantages and disadvantages. Despite the fact that older people are law-abiding, and the level of delinquency among them is law, it is extremely shortsighted to abandon the behavior of older people in the field of law, especially in the light of demographic problems existing in Russia.


2021 ◽  
pp. 64-70
Author(s):  
Elena V. Kunts

The article discusses the general principles and the principles applied when imposing punishments to minors who have committed crimes. Juvenile delinquents are the social base of organized crime. Juvenile delinquency harms the personal development of the minor offender himself, thereby contributing to continuing the minor's criminal activity. The research results confirm that a significant number of serious offenders began their criminal activities being minors. Correction of juvenile offenders is very important, that is, formation of stable skills of an honest attitude to work. Precise execution of laws and respect for them. Crimes committed by minors, despite the degree of their study, the share of crimes committed by minors in the total number of crimes is on average 10–12% and these are only registered official data, which means that real statistics can be 1.5–2 times higher. The above-stated points to the problem of illegal behavior of minors and the need to find effective ways to impose penalties to juvenile offenders.


Author(s):  
Oleg G. Solovyev

The article analyzes the features of the regulation of crimes in the field of economic activity with formal, material and truncated structures of the compositions in the 1996 Criminal Code of the Russian Federation. The author notes that the presence in Chapter 22 of the Criminal Code of the Russian Federation of a significant number of criminal-legal prohibitions containing a formal type of structure of a crime is criticized in the doctrine of criminal law and does not always meet the rules of criminalization of a socially dangerous act and the needs of law enforcement practice. The absence of signs characterizing the economic consequences (damage, avoidance of losses, etc.) in many dispositions with a formal structure does not allow us to speak of the presence of the level of social danger necessary for criminalization of the illegal behavior of economic entities. A number of crimes, in our opinion, should be legally transferred to the category of administrative offenses. The author notes that when designing complex alternative compositions, one should carefully select the necessary features with a homogeneous nature and level of public danger. Such alternative signs should be used in a situation where it is impossible to use abstract linguistic terms covering all the signs listed in the disposition. You should also avoid including false signs in alternative constructions of dispositions: repetitive, unreasonable criminologically, intersecting with other elements of crime, etc.


2021 ◽  
Vol 7 (12) ◽  
pp. 278-282
Author(s):  
A. Sizeva

The article examines the influence of the criminal subculture on the formation of juvenile delinquency. The analysis of the influence of the criminal subculture on the formation of the legal consciousness of minors is carried out, the conditions and processes of deformation of the personality of minors, the emergence of a tendency to illegal behavior and the commission of offenses are considered.


2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Qiong Yang ◽  
Lifeng Yu

Taxi has the characteristics of strong mobility and wide dispersion, which makes it difficult for relevant law enforcement officers to make accurate judgment on their illegal acts quickly and accurately. With the investment of intelligent transportation system, image analysis technology has become a new method to determine the illegal behavior of taxis, but the current image analysis method is still difficult to support the detection of illegal behavior of taxis in the actual complex image scene. To solve this problem, this study proposed a method of taxi violation recognition based on semantic segmentation of PSPNet and improved YOLOv3. (1) Based on YOLOv3, the proposed method introduces spatial pyramid pooling (SPP) for taxi recognition, which can convert vehicle feature images with different resolutions into feature vectors with the same dimension as the full connection layer and solve the problem of repeated extraction of YOLOv3 vehicle image features. (2) This method can recognize two different violations of taxi (blocking license plate and illegal parking) rather than only one. (3) Based on PSPNet semantic segmentation network, a taxi illegal parking detection method is proposed. This method can collect the global information of road condition images and aggregate the image information of different regions, so as to improve the ability to obtain the global information orderly and improve the accuracy of taxi illegal parking detection. The experimental results show that the proposed method has excellent recognition performance for the detection rate of license plate occlusion behavior DR is 85.3%, and the detection rate of taxi illegal parking phenomenon DR is 96.1%.


Author(s):  
Irina Gor'kovaya ◽  
Artem Ivanov

The article presents the results of an empirical study aimed at analyzing hardiness of 14–17 year-olds with persistent illegal behavior (n = 118) in comparison with their peers who demonstrate conditionally normal behavior (n = 117). The assessment of hardiness was carried out with the use of the short version of the Hardiness Test by E. I. Rasskazova and E. N. Osin. The results show that adolescents with persistent illegal behavior are characterized by lower indicators of hardiness, in comparison with adolescents with conditionally normative behavior, and this trend is manifested both in the analysis of the total indicator and particular indicators of hardiness. The analysis of changes in the total and particular indicators of hardiness (performed with the cross-section method) identifies a trend associated with consistent increase in hardiness indicators among adolescents with persistent illegal behavior, while in adolescents form comparison group these indicators decrease. The analysis of gender differences allows us to establish that the trend to increasing hardiness in the group of adolescents with persistent illegal behavior is characteristic of girls, while the hardiness of boys who make up this group decreases as they grow up, as well as in their peers with conditionally normative behavior. The necessity of a differentiated approach to the psychological support of the personal development of boys and girls with persistent illegal behavior is discussed.


2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Feng Yang ◽  
Guixin Dong ◽  
Chaoran Cui ◽  
Xiaojie Li ◽  
Yaxi Su ◽  
...  

In recent years, with the rapid development of digital currency, digital currency brings us convenience and wealth, but also breeds some illegal and criminal behaviors. Different from traditional currencies, digital currency provides concealment to criminals while also exposing their behavior. The analysis of their behavior can be used to detect whether the current digital currency transaction is legal. There is a problem that most digital currency transactions are in compliance with laws and regulations, and only a small part of them uses digital currency to conduct illegal activities. It belongs to the problem of sample imbalance. It is quite challenging to accurately distinguish which transactions are legal and which are illegal in the massive digital currency transactions. For this reason, this study combines the mutual information and the traditional cross-entropy loss function and obtains the loss function based on the mutual information prior. The loss function based on the mutual information prior is that the bias of the category prior distribution is added after the output of the model (before the softmax), which makes the model consider category prior information to a certain extent when predicting. The experimental results show that the use of the loss function based on mutual information prior to the detection of digital currency illegal behavior has a good effect in SVM, DNN, GCN, and GAT methods.


Author(s):  
O.R. Dashkovskaya ◽  
V.O. Yavorsky ◽  
K.D. Bezsonova

The article analyzes the concept of "positive legal responsibility". Its relationship with the term "responsibility" is established, the ratio of social and legal responsibility is considered. The relationship between the philosophical and moral meaning of the concept of "responsibility" is defined. Emphasis is placed on the need to define legal liability through the main objectives and principles of law, the practice of application and interpretation of the legal content of liability. The existence of positive and negative aspects of legal responsibility in modern legal science is outlined. The positive aspect of legal responsibility as a type of legal responsibility, which is a reaction of the state and society to socially useful action, is considered. The main types of legal incentives are identified. The most common signs of positive legal responsibility are outlined.  The negative aspect of legal liability is considered. The basic approaches to its understanding are defined, the basic signs are outlined. It is noted that negative legal liability is considered a means of guaranteeing the rights and freedoms of citizens. It is determined that in the mechanism of legal regulation measures of positive legal responsibility act as means of social control over the behavior of participants in public relations, ensuring mutual coherence of their actions.  Positive legal liability is aimed at reducing the manifestations of illegal behavior by stimulating the subjects of legal relations to implement socially useful behavior through various incentives and is characterized by the following features: associated with the provision of additional rights to the person; occurs for the implementation of certain desired behavior; established in incentive legal norms; is a means of stimulating subjects to commit lawful acts; sold voluntarily.  It is established that positive legal responsibility is a voluntary form of realization of legal responsibility, it is a legal obligation of the subject of responsibility to act according to requirements of legal norms which is realized in its lawful behavior.


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