Study of human knowledge and attitude toward urban birds in Faisalabad city, Pakistan

Birds are very valuable indicators of species richness and endemic patterns in a specified ecosystem, which eventually help the scientist to measure the environmental degradation. The aim of present study was to know human knowledge and attitude toward urban birds in Faisalabad city, Pakistan. The study conducted in four consecutive months: November 2019 to February 2020. Population of birds was noted from eight residential towns of Faisalabad city, data were collected through questionnaire. Faisalabad has a reasonably large population of birds and present data show that, there is a significant difference between favorite bird of residential areas and institutions. The pigeon received the most likeness in bird population among residential area residents, while the myna received the least. The most popular bird in Faisalabad institutions was the sparrow, while the least popular bird was the common myna. Bird adaptation percentage of residential areas and institutional areas of Faisalabad was the highest for parrot and sparrow respectively. People in residential areas and institutions, on the other hand, adapted least to common myna. It is concluded that people of the study area like birds and offered food and high population of birds are present in study area.

Modeling Frameworks for Knowledge Engineering Approaches

Human knowledge was regarded as a transfer process into an applied knowledge base in the early 1980s as the creation of a Knowledge-Based Systems (KBS). The premise behind this transfer was that the KBS-required information already existed and only needed to be gathered and applied. Most of the time, the necessary information was gleaned through talking to professionals about how they handle particular problems. This knowledge was usually put to use in production rules, which were then carried out by a rule interpreter linked to them. Here, we demonstrate a number of new ideas and approaches that have emerged during the last few years. This paper presents MIKE, PROTÉGÉ-II, and Common KADS as three different modeling frameworks that may be used together or separately.

Linguacognitive and Linguoculturological Features of the Opposition Concept Good and Bad in Different Structural Languages (In English and Uzbek)

Annotation: The relevance of this study is due to its connection with the modern direction of language learning - cognitive linguistics, which makes it possible to identify the specifics of the representation of human knowledge, including evaluative ones, in the semantics of linguistic units. The prospect of the cognitive approach in studying the processes of evaluative conceptualization and evaluative categorization is explained by the fact that it makes it possible to assess the role of a person in the perception and evaluation of the surrounding reality and the formation of evaluative values, taking into account the interaction of cognitive and linguistic factors. Accordingly, the evaluative categories "good" and "bad" in this study are considered from the point of view of the mental processes of evaluative conceptualization and evaluative categorization and their refraction in linguistic meanings. Keywords: concept, language, linguacultural study, linguacultural concept "bad", linguacultural concept "good", linguistic materialization of a concept, linguacultural research.

Género, familia y cambio social. Ensayo sobre una entelequia

The difficulties presented by the study of the relationship between gender, family and social change, can be presented as an entelechy, in all its senses, from its linguistic meaning of unreality to the Aristotelian philosophical concept, therefore, the problem is studied with the model essayistic that allows to resort to analysis from the perspective of social history, showing its historiographic implication in the emergence of these phenomena, and in the methodological possibility offered by said social perspective of history to integrate cultural, literary and artistic aspects, which allow to explain said phenomena and their contribution to human knowledge of the processes of inequality and equality that historically affect relations between men and women. La complejidad omnicomprensiva que presenta el estudio de fenómenos históricos como la relación entre género, familia y cambio social, pueden presentarse como una entelequia, en todos sus sentidos, desde su significado lingüístico de irrealidad al concepto filosófico aristotélico, por ello, el problema se ha estudiado con el modelo ensayístico, que permite recurrir al análisis desde la perspectiva de la Historia social, mostrando su implicación historiográfica en la emergencia de dichos fenómenos, y en la posibilidad metodológica que ofrece dicha perspectiva social de la Historia de integrar las fuentes culturales, literarias y artísticas, que permiten explicar dichos fenómenos y su contribución al conocimiento humano de los procesos de desigualdad e igualdad que afectan históricamente a las relaciones entre hombres y mujeres.

Theoretical and methodological foundations of teaching literature in the framework of new humanitarian knowledge in higher educational institutions: Web of science database

Wars between countries, technological developments and acculturation affect every field, as well as the field of education. The social crisis and moral corruption produced by the modern world have led families and educators to think, work and produce projects on the necessity of human values and education. Language, which is one of the human values and one of the ways of maintaining the existence of a nation and transferring its culture, is very important. In this context, it is seen that the emphasis on values is increasing day by day. The education level where the need for restructuring is felt the most is higher education. It is important that training given in higher education institutions is given within the framework of human value perceptions and the training of employees of the future profession group. In this context, it is very important to associate language and human values with literature teaching. In this study, studies on the theoretical and methodological foundations of literature teaching in the framework of new human knowledge in higher education institutions were examined. In this context, the aim of the study is to examine the theoretical and methodological foundations of literature teaching within the framework of new human knowledge in higher education institutions and the related documents scanned in the Web of Science database, thematically and methodologically. The study was designed by adopting a case study from the qualitative research models. A sample was not determined for the studies to be included in the research and the entire universe was reached. In this context, all documents in the Web of Science database were accessed through the library system of the university. In the document search, the keywords ‘higher educational’ and ‘theoretical and methodological’ were searched in all fields and studies were found by searching for the keyword ‘teaching literature’ in the title. All studies were analysed by year, document type, Web of Science category, research area, country and publication language. The findings obtained from the research were explained in detail with the content analysis method. In the research findings, 78 documents were reached. The findings obtained as a result of the research are given in detail in the findings and results section. Keywords: Human values, literature teaching, methodological and theoretical structure, Learning, University, Web of Science

Man and the Internet: dialectics of knowledge and information

In the article the problem of transformation of the information received by the user on the Internet into his knowledge is investigated. The paper uses the main special scientific and logical research methods used in the social and humanitarian sciences. At the same time, the methods of systematic and value-worldview analysis of the phenomena of the spiritual world of a person are distinguished by the degree of significance, which allow us to study the problem of the dialectic of knowledge and information on the Internet not in isolation, but in connection with the main phenomena of the spiritual life of people, taking into account the priority of value-worldview structures. The goal of the work is to find a priority factor that provides a higher degree of accuracy in the transformation of information from the Internet into human knowledge. It is shown that the nature of the world wide web to a certain extent complicates the process of translating information coming to a person into his knowledge. It is concluded that the condition for the transformation of information received by the user on the Internet is the cognitive activity of a person, due primarily to the development of its value and ideological sphere. If the cognizing person has sufficiently developed and stable value – ideological foundations of personality (beliefs, ideals, principles, worldview), he successfully realizes himself as a developing subject, an active participant in knowledge. On the contrary, insufficiently stable value-worldview sphere can lead to passive perception of information by the individual, adaptation to reality, simplification of personality. Information from the Internet in the most adequate form is transformed into a person’s knowledge on the basis of his own cognitive activity, in the presence of intellectual and volitional capabilities (especially value-worldview qualities) for verifying the information available on the Network.

Professional competence of health educators with special consideration of physiotherapists

Health education consists in developing human knowledge, attitudes and skills and abilities, as well as in affecting human conduct in order to maintain or improve their state of health, whereas health promotion comprises propagation of a fit and healthy lifestyle including implementation of some prophylactic measures preventing the development of complaints, illnesses or diseases. Physiotherapists, who become health educators, play a significant role in attaining those objectives through undertaking some preventive measures; they also play a key part in encouraging their clients/patients to change their lifestyle and implement pro-health attitude towards life.

REVIEW ON APPLICATION AREAS OF DEEP LEARNING

The current era is the golden era of Artificial Intelligence. Machine learning is used mostly in all Applications of Artificial intelligence(AI). Machine learning is proven as a great tool to make AI strong. As an advanced form of machine learning, the popularity and success of Deep Learning is proven in different applications is at the top level. As the accuracy in forecasting is high as well as it is very important for the corporate world. The leadership of deep learning cannot be underestimated. It is used to develop systems that mimic the human knowledge gain process using neural networks. In this paper, we are going to discuss innovative developments in application areas of deep learning.

Dis-Cover AI Minds to Preserve Human Knowledge

Modern AI technologies make use of statistical learners that lead to self-empiricist logic, which, unlike human minds, use learned non-symbolic representations. Nevertheless, it seems that it is not the right way to progress in AI. The structure of symbols—the operations by which the intellectual solution is realized—and the search for strategic reference points evoke important issues in the analysis of AI. Studying how knowledge can be represented through methods of theoretical generalization and empirical observation is only the latest step in a long process of evolution. For many years, humans, seeing language as innate, have carried out symbolic theories. Everything seems to have skipped ahead with the advent of Machine Learning. In this paper, after a long analysis of history, the rule-based and the learning-based vision, we would investigate the syntax as possible meeting point between the different learning theories. Finally, we propose a new vision of knowledge in AI models based on a combination of rules, learning, and human knowledge.