A Decentralized and Proactive Architecture based on the Cyber Physical System Paradigm for Smart Transmission Grids Modelling, Monitoring and Control

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Aurora B expression directly correlates with prostate cancer malignancy and influence prostate cell proliferation.

BACKGROUND: Chromosomal instability is one of the most common features of prostate cancer (PC), especially in advanced stages. Recent studies suggest that defects in mitotic checkpoints play a role in carcinogenesis. Lack of mitotic regulation induces aneuploidy in cancer cells acting thereafter as a driving force for malignant progression. Serine/threonine protein kinases of the Aurora genes family play an important throughout the entire cell cycle. In that Aurora B regulates chromosome segregation by ensuring the orientation of sister chromatids. As a consequence, the overexpression of Aurora B in diploid human cells NHDF induces the appearance of multinucleate cells. METHODS: Archive samples of normal and neoplastic prostate tissue, and prostate derived cell lines were screened for the expression of Aurora B. RESULTS: Immunohistochemical analysis showed increased nuclear expression of Aurora-B in high Gleason grade PCs respect to low and intermediate grade cases and in all cancers in respect to hyperplastic and normal glands. Furthermore, in the high Gleason grade anaplastic cancer tissues Aurora B expression was accompanied by the phosphorylation of the histone H3. In analogy to the in vivo situation, Aurora B was vigorously expressed in the androgen independent PC cell lines PC3 and DU145, while a very modest expression of the kinase was observed in the androgen sensitive LnCap cells and in the EPN cells, a line of epithelial cells derived from normal prostate tissue. In addition, in PC3 cells Aurora B expression is accompanied the by the phosphorylation of the histone H3. The block of Aurora B expression induced by an inhibitor of Aurora kinase activity significantly reduced the growth of prostate carcinoma cells, but not that of non-transformed EPN cells. CONCLUSIONS: Our data are the first demonstration of a role of Aurora B in PC progression. In addition, the observation that Aurora B specific inhibitors interfere with PC cell proliferation but not with that of non-transformed prostate epithelial cells suggest that Aurora B is a potential therapeutic target for PC

A Steiner Arborescence Model for the Feeder Reconfiguration in Electric Distribution Networks

In this paper we address the problem of finding the radial configuration of an electricdistributionnetwork that minimizes the total losses due to the Joule effect. We propose an interpretation of the feederreconfiguration problem as aSteinerarborescence problem, formulated through amodel with a separable quadratic objective function. The problem is then solved by a mixed-integer quadratic programming solver. Computational experience on test networks is reported, showing the effectiveness of the formulation

Performance Analysis of Low Earth Orbit Satellites for Power System Communication

In this paper the main performances of communication services based on low earth orbit satellites (LEOs) have been analyzed in order to evaluate their suitability for a typical set of power system monitoring functionalities. As an experimental test bed, an intelligent electronic device (IED) for remote monitoring and protection of power components equipped with a bi-directional communication system based on the LEO satellites of the Globalstar® consortium has been prototyped. Thanks to the adoption of this facility the main parameters characterizing the performance of the satellite TCP/IP services have been evaluated. They comprise in particular the connection time, the degradation of service and data latency for both packet and asynchronous data services. The experimental results obtained show that the application of LEO satellites based communication technologies exhibits a set of intrinsic advantages that could be particularly useful in several fields of power system communication

An Interval Computation Approach for Power Components Overload Protection in the presence of Data Uncertainty

The embedding of microprocessor-based relays in power components enables improved overload protection because of higher computational resources, adaptiveness and flexibility. The increased computing power that is now embedded in power component devices makes possible the real-time simulation of built-in thermal models. However, the use of model-based protective systems is exposed to the uncertainty affecting some model components. The effect of these uncertainties could compromise the overall protective function reliability. To address this problem, we use Affine Arithmetic (AA). In particular, AA can be used to calculate the component’s hot spot temperature by solving a thermal dynamic model where parameters are imprecise, and the uncertainty is represented by affine forms. The proposed solution method is implemented on a microcontroller-based unit to develop a prototype thermal relay equipped with robust tools for uncertainty data management. Various experimental results are presented and discussed

Fuzzy logic based optimal power flow management in Hybrid Electric Vehicles

Parallel Hybrid Electric Vehicle powertrain (PHEV), combining an electric motor with an auxiliary power unit, improves vehicle performance and fuel economy, reducing the effects of private cars on air quality in cities. These advantages can be enhanced by using a dedicated control strategy to identify the optimal power flow distribution at each instant of time in the main powerdrive sources as a function of the state of the powerdrive components and the actual driving conditions. In this connection the literature analysis has evidenced as the research efforts in the field of PHEV optimal power flow management should be oriented not only to develop precise and robust control strategies that can improve the vehicle performances, but also to lower the required computational resources making the solution strategy suitable with the vehicle dynamics and allowing, moreover, a cost effective hardware implementation. To develop this complex activity, fuzzy logic (FL) was used. As demonstrated by the simulation studies developed, FL enables the optimal power flow management problem to be solved by handling its intrinsic non-linearity using rules, membership functions, and the inference process. This results in improved performance, simpler implementation, and reduced design costs compared with rigorous mathematics based approaches

Prototyping of a distributed JAVA based client/server architecture for e-assessment of power equipments loading capability

This paper proposes the development of a JAVA® based client/server architecture for transmission networks capability analyses. The architecture employs a network of distributed units remotely controlled by advanced TCP/IP based communication services to assess dynamically the components thermal state, a Data Base Management System to periodically adjourn the network loadability data, and a mathematical solution engine to support post processing activities as network security analysis or Optimal Power Flow studies. Dynamic load capability is assessed by innovative grey-box identification techniques that integrate physical knowledge modelling (a.k.a. white-box) with machine learning techniques (a.k.a. black-box). Experimental results shown the effectiveness of the proposed methodologies