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Author(s):  
Oleksandr Trukhachov

The article focuses on elements of social engineering (SI) that could be used by the states in their own interests during the COVID-19 pandemic. These elements were used to form negative public opinion, change the political landscape, and reduce citizens’ trust in their own governments. These elements are influence and persuasion. Traditional media and social networks play a major role in the use of these SI elements. SI has a long history of theoretical study as a scientific phenomenon. Practical elements of SI have a large arsenal, from government tools to influencing individuals. The article aims to demonstrate using SI elements, influence, and persuasion by the interested states and governments to obtain certain preferences for both foreign and domestic policies.


2021 ◽  
pp. 210-224
Author(s):  
Алена Игоревна Корытова ◽  
Галина Степановна Корытова

Представлен теоретико-исторический обзор исследований общих и специальных способностей, осуществленных в отечественной научной психологии. Анализируются трудности, связанные с определением понятий «способности» и «одаренность». Обозначено понимание природы творческих способностей и креативности. Рассматриваются психологическая сущность и специфика литературной деятельности как научного феномена. Дана характеристика литературно-художественным способностям как внутреннему психологическому регулятору личности. Показано, что способности в области литературного творчества напрямую соотносятся с художественным типом одаренности, обладающим как одинаковыми, имманентными иным видам одаренности качествами, так и своеобразными характеристиками, рознящими их с другими проявлениями способностей. The article presents a theoretical and historical overview of the studies of general and special abilities carried out in the domestic scientific psychology. The difficulties associated with the definition of the concepts of “ability” and “giftedness” are analyzed. The understanding of the nature of creativity and creativity is indicated. The psychological essence and specificity of literary activity as a scientific phenomenon are considered. The characteristic of literary and artistic abilities as an internal psychological regulator of personality is given. It is shown that the ability to literary creativity refers to the artistic type of giftedness, which has both common qualities inherent in other types of giftedness, and peculiar, distinguishing it from other types of abilities. It is concluded that most of the complexities and contradictions in the study of the phenomenology of abilities are mainly associated with the comprehension of what ontologically represents this mental phenomenon. It is shown that the psychology of literary and artistic creativity and related areas of scientific knowledge are very complex and multifaceted. It is said that the creation of conditions that ensure the identification and creative development of literary gifted persons, the realization of their potential is among the priorities of modern society. Of great importance for the development of literary abilities is the social, including educational environment.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Fang Fang Zhao ◽  
Linh Chau ◽  
Anita Schuchardt

Abstract Background Many students solving quantitative problems in science struggle to apply mathematical instruction they have received to novel problems. The few students who succeed often draw on both their mathematical understanding of the equation and their scientific understanding of the phenomenon. Understanding the sensemaking opportunities provided during instruction is necessary to develop strategies for improving student outcomes. However, few studies have examined the types of sensemaking opportunities provided during instruction of mathematical equations in science classrooms and whether they are organized in ways that facilitate integration of mathematical and scientific understanding. This study uses a multiple case study approach to examine the sensemaking opportunities provided by four different instructors when teaching the same biological phenomenon, population growth. Two questions are addressed: (1) What types of sensemaking opportunities are provided by instructors, and (2) How are those sensemaking opportunities organized? The Sci-Math Sensemaking Framework, previously developed by the authors, was used to identify the types of sensemaking. Types and organization of sensemaking opportunities were compared across the four instructors. Results The instructors provided different opportunities for sensemaking of equations, even though they were covering the same scientific phenomenon. Sensemaking opportunities were organized in three ways, blended (previously described in studies of student problem solving as integration of mathematics and science resources), and two novel patterns, coordinated and adjacent. In coordinated sensemaking, two types of sensemaking in the same dimension (either mathematics or science) are explicitly connected. In adjacent sensemaking, two different sensemaking opportunities are provided within the same activity but not explicitly connected. Adjacent sensemaking was observed in three instructors’ lessons, but only two instructors provided opportunities for students to engage in blended sensemaking. Conclusions Instructors provide different types of sensemaking opportunities when teaching the same biological phenomenon, making different resources available to students. The organization of sensemaking also differed with only two instructors providing blended sensemaking opportunities. This result may explain why few students engage in the successful strategy of integrating mathematics and science resources when solving quantitative problems. Documentation of these instructional differences in types and organization of sensemaking provides guidance for future studies investigating the effect of instruction on student sensemaking.


Author(s):  
Adrian Erasmus ◽  
Tyler D. P. Brunet ◽  
Eyal Fisher

AbstractWe argue that artificial networks are explainable and offer a novel theory of interpretability. Two sets of conceptual questions are prominent in theoretical engagements with artificial neural networks, especially in the context of medical artificial intelligence: (1) Are networks explainable, and if so, what does it mean to explain the output of a network? And (2) what does it mean for a network to be interpretable? We argue that accounts of “explanation” tailored specifically to neural networks have ineffectively reinvented the wheel. In response to (1), we show how four familiar accounts of explanation apply to neural networks as they would to any scientific phenomenon. We diagnose the confusion about explaining neural networks within the machine learning literature as an equivocation on “explainability,” “understandability” and “interpretability.” To remedy this, we distinguish between these notions, and answer (2) by offering a theory and typology of interpretation in machine learning. Interpretation is something one does to an explanation with the aim of producing another, more understandable, explanation. As with explanation, there are various concepts and methods involved in interpretation: Total or Partial, Global or Local, and Approximative or Isomorphic. Our account of “interpretability” is consistent with uses in the machine learning literature, in keeping with the philosophy of explanation and understanding, and pays special attention to medical artificial intelligence systems.


2020 ◽  
Author(s):  
jagmohan saxena

As it is a very known fact that There was zero or nothing before there was a birth of Universe and now expanded to a huge Universe which may be expanded to infinite- and is supposed to be depleted in Zero once again to restart the cycle of formation!Can we explain it in a Mathematical equation? येस, if this cycle is a Scientific Phenomenon- After this equation no question is left to answer perhaps?


2020 ◽  
Vol 31 (1) ◽  
Author(s):  
Vladimir Drekalović

Ever since its beginnings, mathematics has occupied a special position among all sciences, natural, as well as social sciences and humanities. It has not only provided a role model in terms of methodology, particularly when it comes to natural sciences, but other sciences have always relied on mathematics extensively both in their development and for solving various open questions. The beginning of the 21st century foregrounded the issue of the so-called explanatory role of mathematics in science. However, the reference literature features only a few examples as illustration of this role. This paper aims at showing that those examples, even though they are used for illustrating precisely the same purpose, also illustrate various explanatory scopes which mathematical tools can reach within a scientific explanation. Some of these examples also show how mathematics, unfortunately, provides false credibility to scientific explanations.


2020 ◽  
Vol 4 (1) ◽  
pp. 231-237
Author(s):  
Marhabo Ahadovna Khudoykulova ◽  

The article analyses the development of the controversial article genre of the early twentieth century that has been little examined in literary criticism, literary process and attitude to the poet, prose writers. The problem is clarified in the example of works of Chulpan, Oybek, Fitrat. A problematic article can be in the form of a scientific-theoretical discussion or research that focuses on the poetics of a work and illuminates the intended scientific phenomenon in a monograph, based on the aesthetics of artistic creation.


Author(s):  
Hind Fadhil Abbas

The fusion of technology and science is a very complex and scientific phenomenon that still carries mysteries that need to be understood. To unravel these phenomena, mathematical models are beneficial to treat different systems with unpredictable system elements. Here, the generalized intuitionistic fuzzy ideal is studied with topological space. These concepts are useful to analyze new generalized intuitionistic models. The basic structure is studied here with various relations between the generalized intuitionistic fuzzy ideals and the generalized intuitionistic fuzzy topologies. This study includes intuitionistic fuzzy topological spaces (IFS); the fundamental definitions of intuitionistic fuzzy Hausdorff space; intuitionistic fuzzy regular space; intuitionistic fuzzy normal space; intuitionistic fuzzy continuity; operations on IFS, the compactness and separation axioms.


Author(s):  
Oleksandr Mikhno

In the article, based on the analysis of the works of scientists – the representatives of experimental pedagogy Olexandr Nechaev (1870–1947) and Grigory Rossolimo (1860–1928), their contribution to the development of the problem of the pupil’s profile is highlighted. It has been proved that both scientists paid special attention to this issue, developing it in the following aspects: substantiation of the necessity of studying a pupil by the teacher and improvement of psychological knowledge of the teacher (O. Nechaev); creation of plans for studying the pupil in the form of special questionnaires with detailed recommendations on their use (O. Nechaev, G. Rossolimo), filling out the results of studying the pupil in the form of «psychological profile», which was a graphic representation of the profile (G. Rossolimo). It has been substantiated that, developing a problem of the pupil’s profile, O. Nechaev proceeded from the need to take into account the individual abilities and inclinations of the pupil in the educational process, which could be effectively carried out on the basis of studying the pupil with the subsequent compilation of the pupil’s profile. It has been well-reasoned that relations between scientists were significant in the development of scientific ideas: G. Rossolimo linked the emergence of his method of «psychological profile» directly with the ideas of O. Nechaev. It has been emphasized that the psychological characteristics of various types given by Rossolimo were his contribution to the typology of childhood, along with the typology of P. Lesgaft. These typologies are a significant help to the teacher in the process of learning the pupil and compilation of his profile. It has been emphasized that experimental pedagogy is a scientific phenomenon, the name of which reflects the main method of obtaining empirical knowledge — an experiment that was supposed to guarantee the objectivity of the data obtained, bringing pedagogy to the level of exact sciences; the concept of «experimental pedagogy» is established within the limits of historical–pedagogical discourse as a definition of the scientific phenomenon, characteristic only for the beginning of the XX century.


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