Книга рассчитана на студентов, аспирантов, преподавателей высших и средних учебных заведений, всех интересующихся данной темой.

_Purpose._ This paper aims to investigate the phenomenon of a human being within the Confucian tradition as well as its interpretations from intercultural perspective. _Theoretical basis._ One of the ways to understand the deepest level of the intercultural dialogue is to reveal the interpretations of a human being in philosophical traditions, since they refer to the formation of personality and identity within a given culture including interpersonal, intergroup, and intercultural relations. Humanism based on the unity of Human and Heaven runs (...) like a red thread through the philosophical teachings of Confucius, Mencius, Xunzi, Zhu Xi, Wang Yangming defining the ideas of human nature, his/her duties, his/her place and roles in society that shaped the Chinese mentality. _Originality._ Quite often, Chinese concepts (for example, human dignity beyond the ideas of democracy and mass political participation, guanxi, mianzi) are incomprehensible to the representatives of the Western civilization, which leads to the challenges in intercultural communication. The interpretation of these ideas in the context of Confucianism allows to understand them from the perspective of Others and expand the set of patterns of cultural perception. This ultimately leads to the awareness that there are many social, political, cultural realities, which we perceive through the lens of our own concepts and attitudes. The participants of an intercultural dialogue realize that each of them has a unique experience, own way of posing a problem and resolving it, and no one is better or worse. _Conclusions._ Confucian philosophy shaped the worldview of Chinese people, defined values, goals, meanings, attitudes, communication models, which affected all spheres of Chinese life and culture. The study of the philosophical heritage of the great Chinese civilization enhances the cultural competence of the intercultural communicators and expands the field of dialogue to the level of global communication. (shrink)

Purpose. The paper aims at examining the phenomenon of the rebirth of the Goddess in the contemporary world. The author has used the hermeneutic approach and cultural-historical method, as well as the anthropological integrative approach. Theoretical basis. The study is based on the ideas of Carol Christ, Margot Adler, Miriam Simos, and Jean Shinoda Bolen. Originality. The rebirth of the Goddess is not a deconstruction of the God. The face of the Goddess is one side of the binary opposition "Goddess (...) – God". Life on the earthly plane presupposes masculine and feminine dualism. However, these polarities are not mutually exclusive and mutually suppressive, but complementary to each other. The return of the Goddess to the throne and a profound appreciation of Femininity is a necessary step forward in establishing true equality and restoring lost harmony. As humanity returns to the Absolute that transcends duality, as divinity is revealed in feminine and masculine forms, and, finally, as humans get in touch with their true self, the two faces, feminine and masculine, will inevitably merge. Conclusions. Identifying herself with the images of the Goddesses, a woman develops self-awareness and self-acceptance that contribute greatly to her reintegration with a wider spiritual reality. The cult of the Goddess finds practical application in women’s lives. These are magical rituals, work with the archetypes, life-changing tours. Recognizing her right to the fullness of being, a woman overcomes rigid gender roles and stereotypes, ceases to be an object of manipulation and becomes the supreme arbiter of her own life. (shrink)

This article describes the aircraft image recognition system implemented using the phase correlation technique in Matlab environment. The phase correlation is computed by using the normalized cross-power spectrum between the database and the template test image. The main objective of this article is to develop methods for static analysis of aircraft images. An unknown fighter aircraft is recognized by comparing its static image with those from a database of images of aircraft. This work is a research initiative involving the use (...) of image processing techniques to detect three-dimensional aircraft object based on their 2D images, providing feedback information for strategic purposes. The phase correlation technique is found to give a better recognition result for the set of database and test images considered, compared with the invariant moments. The phase correlation method is also used in other areas such as image registration. Aircraft images used include those from AeroIndia 2011 held at Bangalore, India. (shrink)

This article deals with detection and accommodation of sensor faults in longitudinal dynamics of an F8 aircraft model. Both the detection of the fault and reconfiguration of the failed sensor are done with the help of neural network-based models. Detection of a sensor fault is done with the help of knowledge-based neural network fault detection. Apart from KBNNFD, another neural network model is developed in this article for the reconfiguration of the failed sensor. A model-based approach of the neural network (...) is developed, which uses the radial basis function of the neural network. MBNN successfully does the task of providing analytical redundancy for the aircraft sensor. In this work, both detection and reconfiguration of a fault is done using neural networks. Hence, the control system becomes robust for handling sensor failures near steady state and reconfiguration is also faster. A generalized regression neural network, which is a type of radial basis network, is used for MBNN, which gives very efficient results for function approximation. An F8 aircraft model and C-Star controller, which improves its handling quality, are used for validation of the method involved. Models of F8 aircraft, C-Star controller, KBNNFD, and MBNN were developed using MATLAB/simulink. Successful implementation and simulation results are shown and discussed using Simulink. (shrink)

Underdeveloped in historical science are pressing issues of Orthodox sectarianism. A number of scholars who pay attention to this aspect consider the features of the doctrine, the cult, the rituals of sects without a deep analysis of their ideology. On the basis of generalizing the scattered information, we conclude that the Orthodox sects had the ability to undergo the process of evolution throughout their existence.

Constant changes in the economic, social and political life of the people of the nations force the Church to enter into a dialogue with the world. The object of her attention is culture, politics, science, dealing with human problems. Church leadership of various Christian denominations sees the possibility of applying their socio-political guides in a wide socio-cultural space - personal and family circles, political and public activities, social life in general.

Gender discrimination can be overt anddeliberate. It can be covert and indeliberate.In the latter case it is called `asymmetry'.The gender studies community aims to reveal andeliminate any forms of gender asymmetry.However, insufficient methodological andtheoretical reflection implies the reproductionof gender asymmetry throughout genderstudies.

Way back in the 1980s corporations began collecting, combining, and crunching data from sources through-out the enterprise. This approach was widely accepted as a methodology that provides objectivity and trans-parency in decision-making. Good processing of the garnered data paved way for improved analysis of trends and patterns leading to better business and increased profit margins. Corporations began investing in collect-ing, storing, processing and maintaining enterprise wide data. The focus was always on the quality of data and the process of converting (...) it into knowledge that enables right decisions. It was soon realized that a wide range of personal biases has an impact on the way decisions are made. The entire process is replete with ethical dilemmas. This paper provides a framework to understand the interplay of data, information, personal biases, ethics and decision-making. This approach is suitable for every individ-ual, team, organization or a nation. Several years of turmoil in South Africa make it imminent for it to take a fresh look at the way data is transformed into knowledge. The leadership within South Africa has to arrive at wise decisions that can withstand the scrutiny of generations to come. (shrink)

Language and law : language use in professional legal parlance.

Traditional document clustering algorithms consider text-based features such as unique word count, concept count, etc. to cluster documents. Meanwhile, event mining is the extraction of specific events, their related sub-events, and the associated semantic relations from documents. This work discusses an approach to event mining through clustering. The Universal Networking Language -based subgraph, a semantic representation of the document, is used as the input for clustering. Our research focuses on exploring the use of three different feature sets for event clustering (...) and comparing the approaches used for specific event mining. In our previous work, the clustering algorithm used UNL-based event semantics to represent event context for clustering. However, this approach resulted in different events with similar semantics being clustered together. Hence, instead of considering only UNL event semantics, we considered assigning additional weights to similarity between event contexts with event-related attributes such as time, place, and persons. Although we get specific events in a single cluster, sub-events related to the specific events are not necessarily in a single cluster. Therefore, to improve our cluster efficiency, connective terms between two sentences and their representation as UNL subgraphs were also considered for similarity determination. By combining UNL semantics, event-specific arguments similarity, and connective term concepts between sentences, we were able to obtain clusters for specific events and their sub-events. We have used 112 000 Tamil documents from the Forum for Information Retrieval Evaluation data corpus and achieved good results. We have also compared our approach with the previous state-of-the-art approach for Router-RCV1 corpus and achieved 30% improvements in precision. (shrink)