Researchers from diverse disciplines, including organismal and cellular physiology, sports science, human nutrition, evolution and ecology, have sought to understand the causes and consequences of the surprising variation in metabolic rate found among and within individual animals of the same species. Research in this area has been hampered by differences in approach, terminology and methodology, and the context in which measurements are made. Recent advances provide important opportunities to identify and address the key questions in the field. By bringing together (...) researchers from different areas of biology and biomedicine, we describe and evaluate these developments and the insights they could yield, highlighting the need for more standardisation across disciplines. We conclude with a list of important questions that can now be addressed by developing a common conceptual and methodological toolkit for studies on metabolic variation in animals. (shrink)

Political philosophy often focuses on “major institutions” that make up the “basic structure” of society. These include political, economic, and social institutions. In this paper I argue first that policing plays a substantial role in generating the kinds of inequalities and problems that are concerns of social or structural justice, and therefore that police agencies qualify as a major institution. When we abandon full compliance or similar idealizations, it is clear that policing is not a concern secondary to, e.g., the (...) electoral system or the scheme of property rights in a society. Nor, I argue, does maintaining full compliance or moral character idealizations obviate an active enforcement role. Eliminating that role from an idealized model society requires engaging in a methodologically and substantively unattractive amount of abstraction. The result is that an active enforcement role is at the core of a complete theory of justice rather than something that is significant only “downstream” from more fundamental issues. (shrink)

This article explores the enterprising act of socially constructing fatness, or overweight and obesity, as an individual and collective problem. We argue that this process is complex and hence draw liberally on and extend an eclectic range of scholarship (e.g. the sociology of the body, moral panic theory, critical weight studies) when presenting a typology of obesity epidemic entrepreneurs, that is, those who actively make fatness into a correctable health problem. Using a variety of data, we consider six main ideal (...) typical entrepreneurs: creators, amplifiers/moralizers, legitimators, supporters, enforcers/administrators and the entrepreneurial self. We conclude with a critique of obesity epidemic entrepreneurship and underscore the broader salience of our work for the sociology of the body/embodiment. The relevance of social studies of the body for the obesity debate and critical weight studies is also highlighted. (shrink)

This is a “bottom-up” paper in the sense that it draws lessons in defining disciplinary categories under study from a series of empirical studies of interdisciplinarity. In particular, we are in the process of studying the interchange of research-based knowledge between Cognitive Science and Educational Research. This has posed a set of design decisions that we believe warrant consideration as others study cross-disciplinary research processes.

The paper analysis the strategies and concepts developed in the world in modern directions: innova- tive economy, digital economy, artificial intelligence, Industry 4.0 and others. The problem is to determine the initial fundamental parameters of order and their prospects in the global world, the definition and principles of artificial intel- ligence systems, its structure and important aspects and principles of future science and technology in analysis and synthesis based on synergetic approaches, innovative, information, converged technologies, taking into account the design (...) of future and viable and safe and sustainable development in the context of Industry 4.0, digital economy and Society 5.0. The general scheme of the integrated model of sustainable and socio-humanitarian development in the global system is proposed, which the authors call the noosphere model of sustainable and safe development as an important fundamental platform for the design and creation of AIS. In the XXI century education, science and innova- tive technologies becomes the «basis» of the spiritual and material reproduction of man, transforming the society of the XXI century into an educational society, ensures compliance with the law of advanced development of human quality, quality of social intelligence and quality of educational systems in society. noosphere evolution. Industry 4.0 is the next stage in the digitalization of production technologies with the accelerated introduction of new developments and cyberphysical systems, which is changing business models. Accordingly, Industry 4.0 as a separate segment of digital manufacturing technologies takes its place among other digital sectors. The analysis of the Strategies and Concepts developed in the world in modern directions: innovative economy, digital economy, artificial intelli- gence, Industry 4.0 and others is carried out in the work. The problem is to determine the initial fundamental para- meters of order and their prospects in the global world, the definition and principles of artificial intelligence systems, its structure and important aspects and principles of future science and technology in analysis and synthesis ba- sed on synergetic approaches, innovative, information, converged technologies, taking into account the design of future and viable and safe and sustainable development in the context of Industry 4.0, DE and Society 5.0. The main scientific and technological factors in the 21st century will be the development of: Artificial Intelligence, Nano Technologies, Bio-Media Technologies, Cognitive Technologies and Socio-Humanitarian Technologies. More specifically – this is the modern development of Innovative Technologies: «NBIC SH». Therefore, it is necessary to note the importance of taking into account the principle of I2K2+SH, ie: Intellectualization, Integration, Convergence, Coevolution and Socio- humanitarian technologies. It is important and necessary to take into account modern principles of designing a su- stainable and secure AIS and solving the problem of Harmonization between 2 worlds: Real and Virtual, especially in their hybridization. Our immediate future is a hybrid nonlinear world. Note that digitalization, artificial intelligence and robotics will be the main drivers of global economic growth by 2030E. An important paradigm and platform is the Integrated System: for Industry 4.0, DE and AI, taking into account the complex principle of I2K2+SH. If the transition of the Ukrainian economy to an innovative one does not take place in the next 3-5 years, Ukraine will remain in the backyard of civilization. (shrink)

Many biological systems experience a periodic environment. Floquet theory is a mathematical tool to deal with such time periodic systems. It is not often applied in biology, because linkage between the mathematics and the biology is not available. To create this linkage, we derive the Floquet theory for natural systems. We construct a framework, where the rotation of the Earth is causing the periodicity. Within this framework the angular momentum operator is introduced to describe the Earth’s rotation. The Fourier operators (...) and the Fourier states are defined to link the rotation to the biological system. Using these operators, the biological system can be transformed into a rotating frame in which the environment becomes static. In this rotating frame the Floquet solution can be derived. Two examples demonstrate how to apply this natural framework. (shrink)

William C. Olsen, Walter E. A. van Beek, and the contributors to this volume seek to understand how Africans have confronted evil around them. Grouped around notions of evil as a cognitive or experiential problem, evil as malevolent process, and evil as an inversion of justice, these essays investigate what can be accepted and what must be condemned in order to evaluate being and morality in African cultural and social contexts. These studies of evil entanglements take local and national histories (...) and identities into account, including state politics and civil war, religious practices, Islam, gender, and modernity. (shrink)

I think that to Lord Kelvin is attributed the saying that the scientific attitude to a thing, if you can't do anything else with it, is to measure it. This is the attitude I propose to adopt towards Time . The situation is to some extent analogous to the situation with regard to electricity . Science is unable to say what electricity is, and so it almost denies the word any entrance into a treatise on the subject. It replaces it (...) by the word charge , which is something that can be measured. It is important to avoid hypostatizing time into a thing-in-itself. Instead of trying to say what time is we try to find a way of measuring it. (shrink)

Although the equally pervasive and abstract concept of space has generated a vast body of disciplines, time, and the related idea of "becoming" (transforming, ...

In some young children brought by their parents for diagnosis of acute life-threatening events investigations suggested imposed apnoea as the cause rather than spontaneous occurrence. Covert video surveillance of the cot in which the baby was monitored allowed confirmation or rebuttal of this diagnosis. That parents were not informed of the video recording was essential for diagnosis and we assert ethically justifiable as the child was the patient to whom a predominant duty of care was owed. The procedure also avoids (...) the risk of separation of child from parent on inadequate information. (shrink)

I would like to stress Vadim Mikhailovich's [Mezhuev's] position and clarify our conversation about culturology. It is constantly repeated that culturology is a science. It is my profound conviction that culturology is not a science. Culturology is a distinctive phenomenon of Russian culture and represents a certain intellectual movement. If one briefly surveys the history of its emergence, its philosophical origin becomes obvious. This intellectual movement consists of three levels, if one takes into account the "-logy" ending. First, the philosophical (...) level, from which in the 1970s culture began to be conceived as a special field of knowledge in our country. Then, humanistic knowledge: a great many representatives of the humanities in Russia-historians, art specialists, art critics, essayists-studied culture. Finally, there is the socioscientific tendency, which is just beginning to form in Russia and carries the internationally accepted name of social and cultural anthropology. All of us are synergistically attracted to these three tendencies, which comprise what is called culturology. The question of how these three tendencies of knowledge are correlated in the framework of the given intellectual movement is, in my view, extremely important. For quite some time now, there has been no reflection in Russia on the foundations of scientific and philosophical knowledge, but such reflection is necessary. To advance along the road of rational knowledge it is important to reflect in what cognitive space we find ourselves, what we are doing within its boundaries, and for what reason. From this point of view, neither philosophers nor representatives of the humanities or the social sciences will renounce their positions of observer. Moreover, I agree with Mezhuev that there is no single philosophy, humanistic conception, or theory of culture. Anyone who is engaged professionally in the study of cultural phenomena can choose his initial foundations. As Vadim Mezhuev correctly notes, the significance of philosophy for other types of knowledge lies in the fact that there are borderline areas of man's existence in the world. However, they are identified in different ways by different philosophies: positivism, phenomenology, classical Platonism, Aristotelianism, Kantianism, and so forth. Representatives of humanistic and socioscientific knowledge are free to choose any metaphysics. Philosophers will continue to attend to their business in their subject area, and scientists in theirs. But it is important periodically to determine rationally when there must be close and complementary relations between the three components of this intellectual movement and when they must exist in parallel. Then questions such as who has priority and who is the guardian of truth will not arise. If the tendencies have diverged in parallel, then the representatives of each of them are occupied within their domains with questions which are irrelevant in other fields of knowledge or for other theoretical models. At the end of the twentieth century, to pose the question of scientism or antiscientism is senseless because today we know that there are different forms of rationality and that science is not the only, and is quite a narrow, form of rationality. Myth too is rational. It is expressed in categories and has a particular inner logic. We recognize myth as a rational cultural entity, because it is represented in symbolic form as an ordered sequence of judgments, as an artifact. But it differs from scientific theory. That is why it is fruitful to reflect on what forms of rationality are relevant to what levels of knowledge. I agree with Ogurtsov, who says that these forms penetrate in one way or another into every culturally institutionalized form of knowledge. Indeed, in philosophical knowledge there are elements of everyday, mythological, and scientific knowledge, but this does not negate the distinctive nature of the philosophical form of knowledge. In science there are elements of metaphysics, mythology, and everyday knowledge, but this does not cancel the particularities of the scientific form of knowledge. The same is true of the humanistic form, which is in principle irremovable from the framework of institutionalized knowledge, at least for now. I do not agree with Ogurtsov that I give the humanistic form of knowledge a negative evaluation. Humanistic knowledge begins to be significant in a period of a cognitive paradigm shift. This, we can say, is apparent today, at a time of transition from the grand style of modernism in its postmodern mode to the building of the foundations for a new whole. The point is that the humanistic form of knowledge enables us to isolate at the outset those areas of the unknown at which we arrive because of the limitations inherent in other forms of rationality. It is closest to everyday and empirical categories of knowledge and forms of ideas; hence, particularism, image syncretism, and mobility are its distinctive features. But without this humanistic level no further step is possible in either scientific or philosophical knowledge. The breakdown into these forms of knowledge- philosophical, humanistic, and scientific-may be primitive, but we have to start our reflection on the foundations of our cognitive relationship to our surroundings somewhere. The identification of the forms of knowledge makes it possible to draw the conclusion that, unlike philosophical and humanistic knowledge, socioscientific knowledge is modeled on the natural sciences. From this it becomes obvious that the distinctive features of the object of social sciences determine also the special nature of the categorial apparatus, operationalization, selection method, and information analysis. I do not insist that the model I suggest must be accepted. Other models can be constructed. But let us start with a simpler comparison of types of knowledge and later we shall differentiate them. I started from this level because in our culture such a division is apparent and generally accepted. There are the philosophical, humanistic, and scientific forms of knowledge. They are irreducible to one another, they perform entirely different functions in the knowledge of man's relationship to the environment, and express different views about how man lives in culture. I agree that philosophy is exactly existence in culture with a singling out of the limits of this existence. But representatives of humanistic and socioscientific knowledge also deal with existence in culture. What is important for the philosopher is the direction of knowledge from within to the outside; for the representative of humanistic knowledge it is the description of how he exists among a multitude of seemingly diverse and divergent artifacts and processes; and for the scientist it is the order of the philosophically and humanistically defined reality in order to control it the better. (shrink)

When I agreed to lecture to-night I stipulated that I might be allowed to interpret the subject announced so as to let my treatment relate less to the subject in general than to some particular aspects which happen to have been interesting me lately. Professor Whitehead, Sir Arthur Eddington, and Sir James Jeans have given to the world brilliant accounts of the present position of physics in relation to mathematics and philosophy. What I have to say bears to their writings, (...) the humble relation of an example to a piece of book-work, or of an application of a theorem to the theorem itself. (shrink)

Standard models of adolescent risk taking posit that the cognitive abilities of adolescents and adults are equivalent, and that increases in risk taking that occur during adolescence are the result of socio emotional differences in impulsivity, sensation seeking, and lack of self-control. Fuzzy-trace theory incorporates these socio emotional differences. However, it predicts that there are also cognitive differences between adolescents and adults, specifically that there are developmental increases in gist-based intuition that reflects understanding. Gist understanding, as opposed to verbatim-based analysis, (...) generally has been hypothesized to have a protective effect on risk taking in adolescence. Gist understanding is also an essential element of informed consent regarding risks in medical decision- making. Evidence thus supports the argument that adolescents’ status as mature minors should be treated as an exception rather than a presumption, because accuracy in verbatim analysis is not mature gist understanding. Use of the exception should be accompanied by medical experts’ input on the bottom-line gist of risks involved in treatment. (shrink)

Air transport is playing an increasing role in the world economy every year. This is facilitated by technological development and the latest developments in the aviation industry, globalization. This paper provides an overview of artificial neural network training methods for airfare predicting. The articles for 2017-2019 were analyzed in order to determine the model with the most accurate prediction. The researchers conducted research on open data collected by themselves and set themselves the goal of creating a model that would advise (...) a user the best time to buy a ticket when the price would be the lowest. The review of the papers by similar themes revealed that the Bagging Regression Tree model has the highest results with an accuracy of 88% and the random forest method has an accuracy of 87%. Civil aviation plays an important role in the economy of each country. Aviation is the best way to cover long distances in comfort in the shortest time. Airlines offer customers a variety of opportunities to travel both within the country and abroad. The main problem of interaction between airlines and customers is the airfare: the former want to sell more at the higher price, and the latter want to buy cheaper. Therefore, companies use their own private algorithms for dynamic pricing and constantly monitor the market situation, responsive to changes in demand and the actions of competitors. This behavior allows them to achieve a balance between the desires of airlines and customers. Scientists are trying to invent a way to predict airfare so that air travelers can buy them at the lowest price. The results of the work in this area provide general rules for the best purchase. For example, according to the article thebest day to buy a ticket by expedia.com for a domestic flight on the United States is Sunday, and the best period is 57 days before departure. This article provides an overview of the works, the authors of which compared the models of machine learning. Achievements in this area are limited to direct flights of a certain domestic market and 88% accuracy of the forecast. The Bagging Regression Tree model described in the article can be considered the best result. This trained model can make predictions based only on two parameters: the number of free cargo and the number of days left before departure and has an accuracy of 88%. (shrink)