An Interdisciplinary Perspective on the Relationship between Ethics and Today’s Capitalism

The paper begins by emphasizing the fact that, on a historical scale, one can have several views of the relationship that has existed over time between ethics and capitalism, namely: missionary, ‘Nietzschean’, critical, and ‘regulatory’. It is argued that, nowadays, the capitalization of the contributions supplied, over time, by the four views embraces the form of two modern diametrically opposed perspectives, i.e.: on the one hand, there is the interpretation given by the neo-classical school of thought (mainstream economics) and, on the other hand, it comes to the interpretation given by the Austrian praxeological economic school (libertarian economics). The emphasis of the analysis is put on the assertions developed by the last one, libertarian thinking, that insists on the necessity to operate with a well-defined distinction between the legal level of the matter, the ethical level and the moral one. At the core of the libertarian analysis there is the understanding of the capitalist system being naturally impregnated by ethical values. And this intrinsic ethical nature of capitalism is organically bound to the sphere of the ownership-type relationship. In line with the understanding of the economic system, based on the institutions of the free market as representing ethical capitalism per se, the paper argues that the realities of the world today show governmental interventionism as a main factor that supports non-ethical economic behaviour. As a consequence, the more limited government intervention is, the greater the chance of ethical capitalism, that is, voluntary, non-conflictual and non-aggressive economic market relationships. Under such conditions, a ‘minimal state’ institutional arrangement (that is, the legitimate use of power by the state is limited to preventing fraud or the use of force; it does not include the power to tax or to confiscate property) is the basic condition for the existence of an ethical capitalism that works, which is to say that the chance of an economic system based on ethical values stands in people’s willingness to be part of such an evolution in society that aims to minimise the role of the state. Further, the paper argues that any historical analysis on how societies asserted such a willingness outlines the expression of a secular and unshaken option for growing rather than diminishing state involvement in the economy. It is about people’s perennial preference for the state, namely for the organization of society based on state interventionism (respectively, their preference for the coercive order imposed by the state authorities, order based, through its own nature, on the subjugation of private property and the aggression against individual freedom), with a preference for the government intervention over the organization of a society based on free market functioning (which is equivalent, in fact, to their rejection of a voluntarily and spontaneously non-violent order, based on the observance of private property and individual freedom, brought about by the free functioning of markets). In the last part of the paper there are put forward for discussion the possible explanations for this perennial preference for non-ethical capitalism, the analysis focusing on two directions: firstly, on that of social ontology; and then, on that of human psychology

The Concept of Two Mobilities in Homoepitaxial Growth

A general kinetic concept is introduced which can be used to control growth modes in homoepitaxy. Its basic idea is that during growth of a layer, the characteristics length scale associated with nucleation is deliberately varied. The power of this concept lies in the fact that it can be realized experimentally in a variety of ways and is not restricted to special systems. It helps to understand various effects reported in the literature and may serve as a guideline for future methods of growth manipulation

DURABLE DEVELOPMENT AND GLOBAL EVOLUTIONS

The academic and scientific world, in solidarity becoming emblematic, it was and remains sensible to social, economic and moral challenges, making generous efforts for finding reasonable and appropriate solutions, capable to release the stress of conflicting state of facts until it is not too late. So, after a long period of time it analyzed major problems as: unemployment, inflation, interests, external debts, competition, international working division and budgetary deficits, aspects concerning the theory and economic practice, for which classical explorations provided satisfactory answers, now there is the time for ultimate questions, one more awkward than the other.durable development; resources; environment;

Tracking brain dynamics across transitions of consciousness

How do we lose and regain consciousness? The space between healthy wakefulness and unconsciousness encompasses a series of gradual and rapid changes in brain activity. In this thesis, I investigate computational measures applicable to the electroencephalogram to quantify the loss and recovery of consciousness from the perspective of modern theoretical frameworks. I examine three different transitions of consciousness caused by natural, pharmacological and pathological factors: sleep, sedation and coma. First, I investigate the neural dynamics of falling asleep. By combining the established methods of phase-lag brain connectivity and EEG microstates in a group of healthy subjects, a unique microstate is identified, whose increased duration predicts behavioural unresponsiveness to auditory stimuli during drowsiness. This microstate also uniquely captures an increase in frontoparietal theta connectivity, a putative marker of the loss of consciousness prior to sleep onset. I next examine the loss of behavioural responsiveness in healthy subjects undergoing mild and moderate sedation. The Lempel-Ziv compression algorithm is employed to compute signal complexity and symbolic mutual information to assess information integration. An intriguing dissociation between responsiveness and drug level in blood during sedation is revealed: responsiveness is best predicted by the temporal complexity of the signal at single- channel and low-frequency integration, whereas drug level is best predicted by the complexity of spatial patterns and high-frequency integration. Finally, I investigate brain connectivity in the overnight EEG recordings of a group of patients in acute coma. Graph theory is applied on alpha, theta and delta networks to find that increased variability in delta network integration early after injury predicts the eventual coma recovery score. A case study is also described where the re-emergence of frontoparietal connectivity predicted a full recovery long before behavioural improvement. The findings of this thesis inform prospective clinical applications for tracking states of consciousness and advance our understanding of the slow and fast brain dynamics underlying its transitions. Collating these findings under a common theoretical framework, I argue that the diversity of dynamical states, in particular in temporal domain, and information integration across brain networks are fundamental in sustaining consciousness.My PhD was funded by the Cambridge Trust and a MariaMarina award from Lucy Cavendish College

Source localization via time difference of arrival

Accurate localization of a signal source, based on the signals collected by a number of receiving sensors deployed in the source surrounding area is a problem of interest in various fields. This dissertation aims at exploring different techniques to improve the localization accuracy of non-cooperative sources, i.e., sources for which the specific transmitted symbols and the time of the transmitted signal are unknown to the receiving sensors. With the localization of non-cooperative sources, time difference of arrival (TDOA) of the signals received at pairs of sensors is typically employed. A two-stage localization method in multipath environments is proposed. During the first stage, TDOA of the signals received at pairs of sensors is estimated. In the second stage, the actual location is computed from the TDOA estimates. This later stage is referred to as hyperbolic localization and it generally involves a non-convex optimization. For the first stage, a TDOA estimation method that exploits the sparsity of multipath channels is proposed. This is formulated as an f1-regularization problem, where the f1-norm is used as channel sparsity constraint. For the second stage, three methods are proposed to offer high accuracy at different computational costs. The first method takes a semi-definite relaxation (SDR) approach to relax the hyperbolic localization to a convex optimization. The second method follows a linearized formulation of the problem and seeks a biased estimate of improved accuracy. A third method is proposed to exploit the source sparsity. With this, the hyperbolic localization is formulated as an an f1-regularization problem, where the f1-norm is used as source sparsity constraint. The proposed methods compare favorably to other existing methods, each of them having its own advantages. The SDR method has the advantage of simplicity and low computational cost. The second method may perform better than the SDR approach in some situations, but at the price of higher computational cost. The l1-regularization may outperform the first two methods, but is sensitive to the choice of a regularization parameter. The proposed two-stage localization approach is shown to deliver higher accuracy and robustness to noise, compared to existing TDOA localization methods. A single-stage source localization method is explored. The approach is coherent in the sense that, in addition to the TDOA information, it utilizes the relative carrier phases of the received signals among pairs of sensors. A location estimator is constructed based on a maximum likelihood metric. The potential of accuracy improvement by the coherent approach is shown through the Cramer Rao lower bound (CRB). However, the technique has to contend with high peak sidelobes in the localization metric, especially at low signal-to-noise ratio (SNR). Employing a small antenna array at each sensor is shown to lower the sidelobes level in the localization metric. Finally, the performance of time delay and amplitude estimation from samples of the received signal taken at rates lower than the conventional Nyquist rate is evaluated. To this end, a CRB is developed and its variation with system parameters is analyzed. It is shown that while with noiseless low rate sampling there is no estimation accuracy loss compared to Nyquist sampling, in the presence of additive noise the performance degrades significantly. However, increasing the low sampling rate by a small factor leads to significant performance improvement, especially for time delay estimation

Einführung in das neue rumänische Rechtssystem

Series: Arbeitspapiere des Forschungsinstituts für mittel- und osteuropäisches Wirtschaftsrech

360° mulsemedia experience over next generation wireless networks - a reinforcement learning approach

The next generation of wireless networks targets aspiring key performance indicators, like very low latency, higher data rates and more capacity, paving the way for new generations of video streaming technologies, such as 360° or omnidirectional videos. One possible application that could revolutionize the streaming technology is the 360° MULtiple SEnsorial MEDIA (MULSEMEDIA) which enriches the 360° video content with other media objects like olfactory, haptic or even thermoceptic ones. However, the adoption of the 360° Mulsemedia applications might be hindered by the strict Quality of Service (QoS) requirements, like very large bandwidth and low latency for fast responsiveness to the users, inputs that could impact their Quality of Experience (QoE). To this extent, this paper introduces the new concept of 360° Mulsemedia as well as it proposes the use of Reinforcement Learning to enable QoS provisioning over the next generation wireless networks that influences the QoE of the end-users

Seamless multimedia delivery within a heterogeneous wireless networks environment: are we there yet?

The increasing popularity of live video streaming from mobile devices such as Facebook Live, Instagram Stories, Snapchat, etc. pressurises the network operators to increase the capacity of their networks. However, a simple increase in system capacity will not be enough without considering the provisioning of Quality of Experience (QoE) as the basis for network control, customer loyalty and retention rate and thus increase in network operators revenue. As QoE is gaining strong momentum especially with increasing users’ quality expectations, the focus is now on proposing innovative solutions to enable QoE when delivering video content over heterogeneous wireless networks. In this context, this paper presents an overview of multimedia delivery solutions, identifies the problems and provides a comprehensive classification of related state-of-the-art approaches following three key directions: adaptation, energy efficiency and multipath content delivery. Discussions, challenges and open issues on the seamless multimedia provisioning faced by the current and next generation of wireless networks are also provided