In their criticism of Maoism, contemporary Soviet philosophers follow the basic structure of the orthodox presentation of Marxism -- Leninism and use the whole panoply of polemical tools which the Leninist heritage offers them. Thus far, this anti--Maoism is generally maladroit and often self-contradictory.

Purpose. The article is devoted to the analysis of corporality as an attribute of plastic art in the Ancient art, the Middle Ages, the Renaissance, the modernism and the postmodernism. Theoretical basis. The authors consider historical development of the art as a change of paradigms. Within each paradigm a special understanding of art is created, which is characterized both by the act of creativity itself and by the evaluation of its results. Particularly urgent is the task to identify the origins (...) of these changes, to indicate their stages, the direction of the evolution of artistic creativity. In this context, corporality as a paradigm of European plastic art is considered in the article in the concrete historical dimension from the classics to the postmodernism. Originality. Postmodern experiments stimulate blurring the borders between the traditional forms and genres of art. Review of canonical ideas about the creation and destruction, order and chaos in art illustrates conscious reorientation from the classical understanding of artistic creativity to the construction of artifacts-simulacra, which is a characteristic feature in the oeuvre of contemporary artists, ranging from the pop art to the present day. Conclusions. The ideas of postmodern philosophers found their visual embodiment in modern artistic practices. Reconstruction of the body, re-switching of its elements according to the principle of chaotic collage, the interpretation of the human body as a separate substance isolated from the individual him/herself, which is presented as a phenomenon of mass culture, became the basis of the creative method of contemporary plastic art. The ideas of postmodern philosophers have found their visual embodiment in the contemporary artistic practices. (shrink)

The US neutrino community gathered at the Workshop on the Intermediate Neutrino Program at Brookhaven National Laboratory February 4-6, 2015 to explore opportunities in neutrino physics over the next five to ten years. Scientists from particle, astroparticle and nuclear physics participated in the workshop. The workshop examined promising opportunities for neutrino physics in the intermediate term, including possible new small to mid-scale experiments, US contributions to large experiments, upgrades to existing experiments, R&D plans and theory. The workshop was organized into (...) two sets of parallel working group sessions, divided by physics topics and technology. Physics working groups covered topics on Sterile Neutrinos, Neutrino Mixing, Neutrino Interactions, Neutrino Properties and Astrophysical Neutrinos. Technology sessions were organized into Theory, Short-Baseline Accelerator Neutrinos, Reactor Neutrinos, Detector R&D and Source, Cyclotron and Meson Decay at Rest sessions.This report summarizes discussion and conclusions from the workshop. (shrink)

This volume contains twenty-one selected articles and lectures written by the author over a period of some two decades. The remarkable range of McCulloch's abilities and interests is attested to by the diverse character of the contents, which range from neurophysiology to poetry and a scathing attack on Freud and psychoanalysis. Despite the dazzling diversity of topics treated, there is a readily discernible theme underlying all of McCulloch's work. It is represented explicitly in such papers as the classic "A Logical (...) Calculus of the Ideas Immanent in Nervous Activity," a progenitor of more recent automata studies, and "Why the Mind is in the Head," McCulloch's contribution to the Hixon Symposium. This theme is, in the author's words, "the attempt to found a physiological theory of knowledge" or "experimental epistemology." Philosophers who take identity solutions to the mind-body problem seriously will applaud McCulloch's ingenious and sustained efforts to bridge the gap between conceptual analysis of mental concepts and painstaking scientific investigation of the physical "embodiments" of mental processes. Nevertheless, many philosophers will also be irritated by the way in which McCulloch tends to use mentalistic concepts. When nerve impulses are treated as atomic propositions and thinking is unhesitatingly attributed to a reverberating neural circuit, one cannot help but feel that genuine philosophical issues are in serious danger of being obscured rather than illumined.—V. R. M. (shrink)

This monograph affords Morris the occasion to revise and integrate the theory of signs and theory of value which have played such important roles in his earlier work. It opens by presenting in summary form the framework of a language for discussing signs, values and their interrelations. What follows is an attempt to indicate the potential fruitfulness of this theory in investigations pertinent to philosophy, the behavioral sciences, art and psychiatry. It is to be regretted that Morris has not chosen (...) to develop his always stimulating views in a more systematic and substantive way.—V. R. M. (shrink)

This book presents a vigorous and sustained study of the question: How is it possible for religious utterances to express truth claims? Utilizing insights into the nature of language characteristic of recent analytical philosophy, a framework for investigating questions of meaning and truth responsive to the distinctive character of religious inquiry is developed. A crucial distinction between doctrinal propositions and basic religious propositions is formulated, along with a theory of religion in terms of which justice is done to the possibility (...) of substantive disagreement among various religions. The roles that judgment and argument can properly play in religious inquiry are elucidated by contrasting them with their counterparts in science, morals and metaphysics.—V. R. M. (shrink)

Speaker recognition under mismatched conditions is a challenging task. Speech signal is nonlinear and nonstationary, and therefore, difficult to analyze under realistic conditions. Also, in real conditions, the nature of the noise present in speech data is not known a priori. In such cases, the performance of speaker identification or speaker verification degrades considerably under realistic conditions. Any SR system uses a voice activity detector as the front-end subsystem of the whole system. The performance of most VADs deteriorates at the (...) front end of the SR task or system under degraded conditions or in realistic conditions where noise plays a major role. Recently, speech data analysis and processing using Norden E. Huang’s empirical mode decomposition combined with Hilbert transform, commonly referred to as Hilbert–Huang transform, has become an emerging trend. EMD is an a posteriori, adaptive, data analysis tool used in time domain that is widely accepted by the research community. Recently, speech data analysis and speech data processing for speech recognition and SR tasks using EMD have been increasing. EMD-based VAD has become an important adaptive subsystem of the SR system that mostly mitigates the effect of mismatch between the training and the testing phase. Recently, we have developed a VAD algorithm using a zero-frequency filter-assisted peaking resonator and EMD. In this article, the efficacy of an EMD-based VAD algorithm is studied at the front end of a text-independent language-independent SI task for the speaker’s data collected in three languages at five different places, such as home, street, laboratory, college campus, and restaurant, under realistic conditions using EDIROL-R09 HR, a 24-bit wav/mp3 recorder. The performance of this proposed SI task is compared against the traditional energy-based VAD in terms of percentage identification rate. In both cases, widely accepted Mel frequency cepstral coefficients are computed by employing frame processing from the extracted voiced speech regions using the respective VAD techniques from the realistic speech utterances, and are used as a feature vector for speaker modeling using popular Gaussian mixture models. The experimental results showed that the proposed SI task with the VAD algorithm using ZFFPR and EMD at its front end performs better than the SI task with short-term energy-based VAD when used at its front end, and is somewhat encouraging. (shrink)

The performance of most of the state-of-the-art speaker recognition systems deteriorates under degraded conditions, owing to mismatch between the training and testing sessions. This study focuses on the front end of the speaker verification system to reduce the mismatch between training and testing. An adaptive voice activity detection algorithm using zero-frequency filter assisted peaking resonator was integrated into the front end of the SV system. The performance of this proposed SV system was studied under degraded conditions with 50 selected speakers (...) from the NIST 2003 database. The degraded condition was simulated by adding different types of noises to the original speech utterances. The different types of noises were chosen from the NOISEX-92 database to simulate degraded conditions at signal-to-noise ratio levels from 0 to 20 dB. In this study, widely used 39-dimension Mel frequency cepstral coefficient features were used, and Gaussian mixture model–universal background model was used for speaker modeling. The proposed system’s performance was studied against the energy-based VAD used as the front end of the SV system. The proposed SV system showed some encouraging results when EMD-based VAD was used at its front end. (shrink)

In this article, a new adaptive data-driven strategy for voice activity detection using empirical mode decomposition is proposed. Speech data are decomposed using an a posteriori, adaptive, data-driven EMD in the time domain to yield a set of physically meaningful intrinsic mode functions. Each IMF preserves the nonlinear and nonstationary property of the speech utterance. Among a set of IMFs, the IMF that contains source information dominantly called characteristic IMF can be identified and extracted by designing a zero-frequency filter-assisted peaking (...) resonator. The detected CIMF is used to compute energy using short-term processing. Choosing proper threshold, voiced regions in speech utterances are detected using frame energy. The proposed framework has been studied on both clean speech utterance and noisy speech utterance. The proposed method is used for voice activity detection in the presence of white noise and shows encouraging result in the presence of white noise up to 0 dB. (shrink)

The paper addresses the use of heterogeneous ensembles of intelligent unmanned vehicles in such a perspective field of innovations as an unmanned fishery. The issues of joint activity of unmanned vehicles of different types in fishing operations based on intelligent technologies are investigated. The “smart fishing” approach based on the joint fishing operation model is proposed. The operational framework that includes missions, roles, and activity scenarios embedded in the discretized spatial model is presented. The scenario activities are considered as the (...) sequences of pentad that determine executing specific functions concerning the specified waypoint, timepoints, and the states of vehicles. The definition of the plan as the scenario prototype that needs adjusting to the conditions of the situational context is proposed. The coordination problem regarding the joint activities of the unmanned vehicles and their scenarios is defined and the coordination framework based on the distributed common board model and coordination primitives is presented. The prototype of the intelligent scenario-based system including the implementation of both operational and coordination frameworks developed for the control of unmanned vehicles is described. This system makes unmanned vehicles capable to absorb all the latest advances in intelligent technologies to perform smart fishing operations jointly in a large heterogeneous group. The proposed approach to smart fishing using intelligent technologies makes it possible to detach fishermen from the fishing activities dangerous to their life and health, to reduce significantly poaching and illegal fishing, to increase the overall efficiency of fishing operations, and even to save the marine ecosystem. (shrink)

The rôle of mathematical models in growth studies is discussed and a distinction made between the structural and descriptive aspects of a mathematical formulation. A simple scheme is set up to represent in broad outline the simultaneous growth and interaction of larval and adult systems inMyrmica rubra and is matched against observed results.

Because corporate social responsibility can be beneficial to both companies and its stakeholders, interest in factors that support CSR performance has grown in recent years. A thorough integration of CSR in core business processes is particularly important for achieving effective long-term CSR practices. Here, we explored the individual CSR-related competencies that support CSR implementation in a corporate context. First, a systematic literature review was performed in which relevant scientific articles were identified and analyzed. Next, 28 CSR directors and managers were (...) interviewed. The literature review complemented with interview data resulted in the following eight distinct CSR-related competencies: Anticipating CSR challenges; Understanding CSR-relevant systems and subsystems; Understanding CSR-relevant standards; CSR management competencies, including Leading CSR programs, Managing CSR programs, and Identifying and realizing CSR-related business opportunities; Realizing CSR-supportive interpersonal processes; Employing CSR-supportive personal characteristics and attitudes; Personal value-driven competencies, including Ethical normative competencies, Balancing personal ethical values and business objectives, and Realizing self-regulated CSR-related behaviors and active involvement; and Reflecting on personal CSR views and experiences. Based on these results, implications for further research on this topic, as well as implications for practitioners, are discussed. (shrink)

This paper is about a support information management system for a wind power producer having an energy storage system and participating in a day-ahead electricity market. Energy storage can play not only a leading role in mitigation of the effect of uncertainty faced by a WP producer, but also allow for conversion of wind energy into electric energy to be stored and then released at favourable hours. This storage provides capability for arbitrage, allowing an increase on profit of a WP (...) producer, but must be supported by a convenient problem formulation. The formulation proposed for the support information management system is based on an approach of stochasticity written as a mixed integer linear programming problem. WP and market prices are considered as stochastic processes represented by a set of scenarios. The charging/discharging of the ESS are considered dependent on scenarios of market prices and on scenarios of WP. The effectiveness of the proposed formulation is tested by comparison of case studies using data from the Iberian Electricity Market. The comparison is in favour of the proposed consideration of stochasticity. (shrink)

INTERNATIONAL STUDIES IN THE PHILOSOPHY OF SCIENCE Vol. 2, number 1, Autumn 1987, pp. 84-104. R.M. Nugayev. The genesis and structure of models in the modern theory of gravity. Abstract. The analysis of theory-choice problem in modern theory of gravity necessitates consideration of the genesis and the structure of the systems of gravitational abstract objects. My approach to physical theory structure uses and develops the ideas of V.S.Stepin. The basic equations of general relativity - Einstein’s equations – are shown to (...) describe the relations between the abstract objects of the basic model only. The whole theory of gravity chain consists of general relativity, nonmetric theories of gravitation, Newton’s theory of gravitation and special theory of relativity. All these theories describe the relations between the abstract objects of partial ideal models subordinated to the basic one. (shrink)