130,202 research outputs found

    Consumer attitudes towards the quality and safety of organic and low input foods

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    A review of scientific literature and analysis of recent qualitative data provides new insights into the dynamics of the demand side of the organic market. Differences between existing, committed and ‘new’ consumers have implications for wider organic research, policy development and marketing strategy, particularly as actual behaviour and product loyalty diverge from the conventional representation of con-sumer characteristics

    Creativity as Cognitive design \ud The case of mesoscopic variables in Meta-Structures\ud

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    Creativity is an open problem which has been differently approached by several disciplines since a long time. In this contribution we consider as creative the constructivist design an observer does on the description levels of complex phenomena, such as the self-organized and emergent ones ( e.g., Bènard rollers, Belousov-Zhabotinsky reactions, flocks, swarms, and more radical cognitive and social emergences). We consider this design as related to the Gestaltian creation of a language fit for representing natural processes and the observer in an integrated way. Organised systems, both artificial and most of the natural ones are designed/ modelled according to a logical closed model which masters all the inter-relation between their constitutive elements, and which can be described by an algorithm or a single formal model. We will show there that logical openness and DYSAM (Dynamical Usage of Models) are the proper tools for those phenomena which cannot be described by algorithms or by a single formal model. The strong correlation between emergence and creativity suggests that an open model is the best way to provide a formal definition of creativity. A specific application relates to the possibility to shape the emergence of Collective Behaviours. Different modelling approaches have been introduced, based on symbolic as well as sub-symbolic rules of interaction to simulate collective phenomena by means of computational emergence. Another approach is based on modelling collective phenomena as sequences of Multiple Systems established by percentages of conceptually interchangeable agents taking on the same roles at different times and different roles at the same time. In the Meta-Structures project we propose to use mesoscopic variables as creative design, invention, good continuity and imitation of the description level. In the project we propose to define the coherence of sequences of Multiple Systems by using the values taken on by the dynamic mesoscopic clusters of its constitutive elements, such as the instantaneous number of elements having, in a flock, the same speed, distance from their nearest neighbours, direction and altitude. In Meta-Structures the collective behaviour’s coherence corresponds, for instance, to the scalar values taken by speed, distance, direction and altitude along time, through statistical strategies of interpolation, quasi-periodicity, levels of ergodicity and their reciprocal relationship. In this case the constructivist role of the observer is considered creative as it relates to neither non-linear replication nor transposition of levels of description and models used for artificial systems, like reductionism. Creativity rather lies in inventing new mesoscopic variables able to identify coherent patterns in complex systems. As it is known, mesoscopic variables represent partial macroscopic properties of a system by using some of the microscopic degrees of freedom possessed by composing elements. Such partial usage of microscopic as well as macroscopic properties allows a kind of Gestaltian continuity and imitation between levels of descriptions for mesoscopic modelling. \ud \u

    Controlling chaos in a chaotic neural network

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    The chaotic neural network constructed with chaotic neuron shows the associative memory function, but its memory searching process cannot be stabilized in a stored state because of the chaotic motion of the network. In this paper, a pinning control method focused on the chaotic neural network is proposed. The computer simulation proves that the chaos in the chaotic neural network can be controlled with this method and the states of the network can converge in one of its stored patterns if the control strength and the pinning density are chosen suitable. It is found that in general the threshold of the control strength of a controlled network is smaller at higher pinned density and the chaos of the chaotic neural network can be controlled more easily if the pinning control is added to the variant neurons between the initial pattern and the target pattern

    Research - Teaching Integration in Agroecology and Organic Farming

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    Integration of research and teaching enhances the success of students in both areas, and contributes to preparation of graduates who are capable of handling the complexity of location-specific challenges in farming and food systems. A European Network of Organic Agriculture Teachers (ENOAT) convened a workshop in Italy in 2007 to explore the current state of integration and potentials for further developing this learning strategy in universities. We concluded that integration brings motivation to students and greater relevance to their learning environment, both key issues in providing success in the learning landscape

    Bacterial Biofilm and its Clinical Implications

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    Microbial biofilm created huge burden in treatment of both community and hospital infections. A biofilm is complex communities of bacteria attached to a surface or interface enclosed in an exopolysaccharide matrix and protected from unfavorable conditions such as presence of antibiotics, host defense or oxidative stresses. Biofilms are often considered hot spot for horizontal gene transfer among same or different bacterial species. Furthermore, bacteria with increased hydrophobicity facilitate biofilm formation by reducing repulsion between the extracellular matrix and the bacterium. There is a marked increase in the rate of persons nonresponsive to antibiotic therapy for infections of the Urinary Tract (UTIs), burns and upper respiratory tract due to biofilm formations. It is estimated that 90% of nosocomial infections are mediated by biofilm. The role of biofilm in infections has become so great that the treatment of such antibiotic resistance infections is proving difficult and costly to health care systems. The biofilm related infections varied from dental plaque, destruction of prosthetic valve to death of cystic fibrosis patients. This review aims to provide a summary of role of bacterial biofilm and its clinical implications for the patients

    Categorical Ontology of Complex Systems, Meta-Systems and Theory of Levels: The Emergence of Life, Human Consciousness and Society

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    Single cell interactomics in simpler organisms, as well as somatic cell interactomics in multicellular organisms, involve biomolecular interactions in complex signalling pathways that were recently represented in modular terms by quantum automata with ‘reversible behavior’ representing normal cell cycling and division. Other implications of such quantum automata, modular modeling of signaling pathways and cell differentiation during development are in the fields of neural plasticity and brain development leading to quantum-weave dynamic patterns and specific molecular processes underlying extensive memory, learning, anticipation mechanisms and the emergence of human consciousness during the early brain development in children. Cell interactomics is here represented for the first time as a mixture of ‘classical’ states that determine molecular dynamics subject to Boltzmann statistics and ‘steady-state’, metabolic (multi-stable) manifolds, together with ‘configuration’ spaces of metastable quantum states emerging from complex quantum dynamics of interacting networks of biomolecules, such as proteins and nucleic acids that are now collectively defined as quantum interactomics. On the other hand, the time dependent evolution over several generations of cancer cells --that are generally known to undergo frequent and extensive genetic mutations and, indeed, suffer genomic transformations at the chromosome level (such as extensive chromosomal aberrations found in many colon cancers)-- cannot be correctly represented in the ‘standard’ terms of quantum automaton modules, as the normal somatic cells can. This significant difference at the cancer cell genomic level is therefore reflected in major changes in cancer cell interactomics often from one cancer cell ‘cycle’ to the next, and thus it requires substantial changes in the modeling strategies, mathematical tools and experimental designs aimed at understanding cancer mechanisms. Novel solutions to this important problem in carcinogenesis are proposed and experimental validation procedures are suggested. From a medical research and clinical standpoint, this approach has important consequences for addressing and preventing the development of cancer resistance to medical therapy in ongoing clinical trials involving stage III cancer patients, as well as improving the designs of future clinical trials for cancer treatments.\ud \ud \ud KEYWORDS: Emergence of Life and Human Consciousness;\ud Proteomics; Artificial Intelligence; Complex Systems Dynamics; Quantum Automata models and Quantum Interactomics; quantum-weave dynamic patterns underlying human consciousness; specific molecular processes underlying extensive memory, learning, anticipation mechanisms and human consciousness; emergence of human consciousness during the early brain development in children; Cancer cell ‘cycling’; interacting networks of proteins and nucleic acids; genetic mutations and chromosomal aberrations in cancers, such as colon cancer; development of cancer resistance to therapy; ongoing clinical trials involving stage III cancer patients’ possible improvements of the designs for future clinical trials and cancer treatments. \ud \u

    Cognitive Architecture, Concepts, and Introspection: An Information-Theoretic Solution to the Problem of Phenomenal Consciousness

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    This essay is a sustained attempt to bring new light to some of the perennial problems in philosophy of mind surrounding phenomenal consciousness and introspection through developing an account of sensory and phenomenal concepts. Building on the information-theoretic framework of Dretske (1981), we present an informational psychosemantics as it applies to what we call sensory concepts, concepts that apply, roughly, to so-called secondary qualities of objects. We show that these concepts have a special informational character and semantic structure that closely tie them to the brain states realizing conscious qualitative experiences. We then develop an account of introspection which exploits this special nature of sensory concepts. The result is a new class of concepts, which, following recent terminology, we call phenomenal concepts: these concepts refer to phenomenal experience itself and are the vehicles used in introspection. On our account, the connection between sensory and phenomenal concepts is very tight: it consists in different semantic uses of the same cognitive structures underlying the sensory concepts, such as the concept of red. Contrary to widespread opinion, we show that information theory contains all the resources to satisfy internalist intuitions about phenomenal consciousness, while not offending externalist ones. A consequence of this account is that it explains and predicts the so-called conceivability arguments against physicalism on the basis of the special nature of sensory and phenomenal concepts. Thus we not only show why physicalism is not threatened by such arguments, but also demonstrate its strength in virtue of its ability to predict and explain away such arguments in a principled way. However, we take the main contribution of this work to be what it provides in addition to a response to those conceivability arguments, namely, a substantive account of the interface between sensory and conceptual systems and the mechanisms of introspection as based on the special nature of the information flow between them

    Organic food quality – axioms and ambiguities

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    During last decades the consumer trust in food quality has drastically decreased, mainly because of the growing ecological awareness and several food scandals. Consumers started to look for safer and better controlled foods, produced in more environmentally friendly system. Organically produced foods are widely believed to satisfy the above demands; up to now research studies have partly confirmed this opinion. Organic crops contain fewer nitrates and nitrites and fewer residues of pesticides than conventional ones. They contain as a rule more dry matter, vitamin C, phenolic compounds, valuable amino acids and total sugars; however the level of carotenoids is often higher in conventional plant products. Organic crops contain often more mineral compounds; they have usually better sensory and storage quality. Farm animals from organic herds and small experimental mammals fed organically show often better health and fertility parameters. However, there are also some negatives: plant and animal production in organic system show lower yield than in conventional production. Several important problems need to be investigated and settled in coming years: environmental contamination of the organic crops, bacterial and fungi contamination. The impact of the organic food consumption on human health and well being still remains unknown and needs explanation

    Brain-inspired conscious computing architecture

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    What type of artificial systems will claim to be conscious and will claim to experience qualia? The ability to comment upon physical states of a brain-like dynamical system coupled with its environment seems to be sufficient to make claims. The flow of internal states in such system, guided and limited by associative memory, is similar to the stream of consciousness. Minimal requirements for an artificial system that will claim to be conscious were given in form of specific architecture named articon. Nonverbal discrimination of the working memory states of the articon gives it the ability to experience different qualities of internal states. Analysis of the inner state flows of such a system during typical behavioral process shows that qualia are inseparable from perception and action. The role of consciousness in learning of skills, when conscious information processing is replaced by subconscious, is elucidated. Arguments confirming that phenomenal experience is a result of cognitive processes are presented. Possible philosophical objections based on the Chinese room and other arguments are discussed, but they are insufficient to refute claims articon’s claims. Conditions for genuine understanding that go beyond the Turing test are presented. Articons may fulfill such conditions and in principle the structure of their experiences may be arbitrarily close to human

    HOW EXPERIENCED PHENOMENA RELATE TO THINGS THEMSELVES: KANT, HUSSERL, HOCHE, AND REFLEXIVE MONISM

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    What we normally think of as the “physical world” is also the world as experienced, that is, a world of appearances. Given this, what is the reality behind the appearances, and what might its relation be to consciousness and to constructive processes in the mind? According to Kant, the thing itself that brings about and supports these appearances is unknowable and we can never gain any understanding of how it brings such appearances about. Reflexive monism argues the opposite: the thing itself is knowable as are the processes that construct conscious appearances. Conscious appearances (empirical evidence) and the theories derived from them can represent what the world is really like, even though such empirical knowledge is partial, approximate and uncertain, and conscious appearances are species-specific constructions of the human mind. Drawing on the writings of Husserl, Hoche suggests that problems of knowledge, mind and consciousness are better understood in terms of a “pure noematic” phenomenology that avoids any reference to a “thing itself”. I argue that avoiding reference to a knowable reality (behind appearances) leads to more complex explanations with less explanatory value and counterintuitive conclusions—for example Hoche’s conclusion that consciousness is not part of nature. The critical realism adopted by reflexive monism appears to be more useful, as well as being consistent with science and common sense
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