A Process for Engineer Domain Ontology: An Experience in Developing Business Analysis Ontology

During the last years several works have been aimed to improve ontology technological as-pects, like representation language and inference mechanisms. This paper presents a discussion on the process and product of an experience in developing ontology for the public sector whose organization requires a strong knowledge management. This process is applied to engineer and develop ontology for Business analysis domain.Ontology, Ontology Engineering, Methodology, Protégé, Business Analysis

Influence of Josephson current second harmonic on stability of magnetic flux in long junctions

We study the long Josephson junction (LJJ) model which takes into account the second harmonic of the Fourier expansion of Josephson current. The dependence of the static magnetic flux distributions on parameters of the model are investigated numerically. Stability of the static solutions is checked by the sign of the smallest eigenvalue of the associated Sturm-Liouville problem. New solutions which do not exist in the traditional model, have been found. Investigation of the influence of second harmonic on the stability of magnetic flux distributions for main solutions is performed.Comment: 4 pages, 6 figures, to be published in Proc. of Dubna-Nano2010, July 5-10, 2010, Russi

Sequential noise-induced escapes for oscillatory network dynamics

It is well known that the addition of noise in a multistable system can induce random transitions between stable states. The rate of transition can be characterised in terms of the noise-free system's dynamics and the added noise: for potential systems in the presence of asymptotically low noise the well-known Kramers' escape time gives an expression for the mean escape time. This paper examines some general properties and examples of transitions between local steady and oscillatory attractors within networks: the transition rates at each node may be affected by the dynamics at other nodes. We use first passage time theory to explain some properties of scalings noted in the literature for an idealised model of initiation of epileptic seizures in small systems of coupled bistable systems with both steady and oscillatory attractors. We focus on the case of sequential escapes where a steady attractor is only marginally stable but all nodes start in this state. As the nodes escape to the oscillatory regime, we assume that the transitions back are very infrequent in comparison. We quantify and characterise the resulting sequences of noise-induced escapes. For weak enough coupling we show that a master equation approach gives a good quantitative understanding of sequential escapes, but for strong coupling this description breaks down

Fast and slow domino regimes in transient network dynamics

It is well known that the addition of noise to a multistable dynamical system can induce random transitions from one stable state to another. For low noise, the times between transitions have an exponential tail and Kramers' formula gives an expression for the mean escape time in the asymptotic limit. If a number of multistable systems are coupled into a network structure, a transition at one site may change the transition properties at other sites. We study the case of escape from a "quiescent" attractor to an "active" attractor in which transitions back can be ignored. There are qualitatively different regimes of transition, depending on coupling strength. For small coupling strengths the transition rates are simply modified but the transitions remain stochastic. For large coupling strengths transitions happen approximately in synchrony - we call this a "fast domino" regime. There is also an intermediate coupling regime some transitions happen inexorably but with a delay that may be arbitrarily long - we call this a "slow domino" regime. We characterise these regimes in the low noise limit in terms of bifurcations of the potential landscape of a coupled system. We demonstrate the effect of the coupling on the distribution of timings and (in general) the sequences of escapes of the system.Comment: 3 figure

Sequential escapes: onset of slow domino regime via a saddle connection

We explore sequential escape behaviour of coupled bistable systems under the influence of stochastic perturbations. We consider transient escapes from a marginally stable "quiescent" equilibrium to a more stable "active" equilibrium. The presence of coupling introduces dependence between the escape processes: for diffusive coupling there is a strongly coupled limit (fast domino regime) where the escapes are strongly synchronised while for intermediate coupling (slow domino regime) without partially escaped stable states, there is still a delayed effect. These regimes can be associated with bifurcations of equilibria in the low-noise limit. In this paper we consider a localized form of non-diffusive (i.e pulse-like) coupling and find similar changes in the distribution of escape times with coupling strength. However we find transition to a slow domino regime that is not associated with any bifurcations of equilibria. We show that this transition can be understood as a codimension-one saddle connection bifurcation for the low-noise limit. At transition, the most likely escape path from one attractor hits the escape saddle from the basin of another partially escaped attractor. After this bifurcation we find increasing coefficient of variation of the subsequent escape times

The benefits of combining seasonal anomalies and technical trading rules

Although many seasonal anomalies and technical trading rules have been shown to have predictive ability, investigations have focused only on them operating individually. We study the benefits of trading based on combinations of three of the best known effects: the moving average rule, the turn of the month effect, and the Halloween effect. We show that the rules can be combined effectively, giving significant levels of returns predictability with low risk and offering the possibility of profitable trading. This new investment approach is especially beneficial for a typical individual investor, who faces high transaction costs and is poorly diversified

Melatonin modulates inflammatory response and suppresses burn-induced apoptotic injury

Introduction: Melatonin, the principal secretory product of the pineal gland, has antioxidant functions as a potent antioxidant and free radical scavenger. Objectives of the present study were to investigate the effect of melatonin against inflammatory response, burn-induced oxidative damage and apoptotic changes of rat liver. Methods: Melatonin (10 mg /kg, i.p.) was applied immediately after 30% of total body surface area (TBSA) burns on male Wistar rats. The level of malondialdehyde (MDA) as a marker of an oxidative stress was quantified by thiobarbituric method. Hepatic TNFα and IL-10 as inflammatory markers were assayed by ELISA. Using light immunоchistochemistry the expression Ki67 proliferative marker was investigated. Results: Hepatic MDA and TNF-α levels increased significantly following burns without any change in IL-10 level. Intracellular vacuolization, hepatic cell degeneration and apoptosis occurred in rats after burns. The number of apoptotic cells was increased whereas no significant increase in Ki67 proliferative marker. Melatonin decreased the MDA and TNF-α content and increased the IL-10 level. It also limited the degenerative changes and formation of apoptotic cells in rat liver but did not increase expression of the marker of proliferation. In conclusion, our data show that melatonin relieves burn-induced hepatic damage associated with modulation of the proinflammatory/anti-inflammatory balance, mitigation of lipid peroxidation and hepatic apoptosis

Automated modelling of lakes from data and expert knowledge: evaluation of applications

Ecological models of lakes are useful tools for a better understanding of the ecosystem behaviour, lake management, policy making, as well as testing and accepting engineering solutions. Setting such model is a difficult task due to the complexity of these ecosystems. Therefore it is reasonable to use as many approaches as possible to construct a reliable model of the observed domain. In this paper the evaluation of an automated modelling method, called Lagramge, that combines the two basic approaches, i.e. data-driven (inductive) approach and knowledge-driven (deductive) approach, is given. The method supports the introduction of domain knowledge in the procedure of equation discovery from measured data, where the domain modelling knowledge is introduced in a form of modelling knowledge library. Four applications of the method, i.e. Lake Glumsø, Lake Bled, Lake Kasumigaura, and Greifensee, comprise different modelling tasks for Lagramge, each of them resulting in a specific model of the observed domains. The models are evaluated in terms of their descriptive power and their performance (goodness of fit to the measurements). Although faced with some constraints, the method can be successfully used in complex domains. It can be used successfully for model discovery as well as for other scientific discoveries, such as identifying dynamic patterns in the observed system, i.e. dynamic structure of the ecosystem

Melatonin attenuates oxidative stress and modulates inflammatory response after experimental burn trauma

Introduction. Thermal injury activates an inflammatory response. Melatonin possesses anti-oxidant and anti-inflammatory properties. The objective of the present work was to study melatonin effects on the inflammatory response under conditions of oxidative stress during the early stage of thermal injury. Materials and methods. We used 24 white male rats of Wistar breed, randomly divided into three experimental groups. Group one was the control, group two was inflicted with burn trauma, and group three was inflicted with burn trauma, with melatonin application following the thermal injury. Melatonin was applied twice in doses of 10 g/kg b.m. immediately after the burn trauma and again at 12 hours. Plasma levels of tumor necrosis-factor-α (TNF-α), a pro-inflammatory mediator, and of interleukin-10 (Il-10), an anti-inflammatory mediator, were examined and their ratio was calculated. The levels of malondialdehyde (MDA), an oxidative stress marker, were also estimated. Results. Thermal trauma significantly increased plasma TNF-α levels (ð\u3c0.01) and TNF-α /IL-10 ratio but did not change IL-10 ones. Plasma MDA concentrations were significantly elevated as well (ð\u3c0.0001). Melatonin application significantly reduced TNF-α (ð\u3c0.05), increased IL-10 (ð\u3c0.05), down-regulated TNF-α/IL-10 ratio and changed MDA concentrations (ð\u3c0.01). In conclusion, our results show that local alteration induces oxidative stress and inflammatory response with TNF-α /IL-10 disbalance. Melatonin modulates this response and attenuates oxidative stress in experimental burn injury