Detecting cells with low RNA content colonizing artworks non-invasively: RNA-FISH

Various non-invasive RNA-FISH methodologies were tested in this work. They seem to be good alternatives for analyzing the potential biodeteriogenic microorganisms thriving in CH objects.This work was co- financed by FCT Fundação para a Ciência e a Tecnologia through the project "MICROTECH-ART- Microorganisms Thriving on and Endamaging Cultural Heritage -an Analytical Rapid Tool-" (PTDC/BBB-IMG/0046/2014) and by European Union, European Regional Development Fund ALENTEJO 2020 through the project HIT3CH - HERCULES Interface for Technology Transfer and Teaming in Cultural Heritage (ALT20-03-0246-FEDER-000004). Marina González-Pérez acknowledges FCT for the economic support through the post-doctoral grant SFRH/BPD/100754/2014

Nuevas localidades de Sedum aetnense Tineo en La Maragatería (León)

Se aportan nuevas localidades de Sedum aetnense (Crassulaceae) en la Maragatería (León, Castilla y León). Además se sintetiza la información disponible de esta planta en dicho territorio.We are providing new records for Sedum aetnense in the Maragatería (León, Castilla y León). Moreover, we are reporting a summary of the published information of this plant in the said area

The fight against terrorism in Spain: judicial cooperation in criminal matters and procedural rights

European project “Lawyers for the protection of fundamental rights” GA n° 80697

The fight against terrorism in the EU: judicial cooperation in criminal matters and procedural rights

European project “Lawyers for the protection of fundamental rights” GA n° 80697

Small companies facing the mobility policy in Spain: Is it profitable to remain in the market?

The parking sector in Spain has experienced a growing trend in recent years. At the same time, the level of market concentration has increased. One of the main reasons behind this phenomenon is due to the mobility policy established both at the national (Spain) and supranational (European Union) levels, which is based on environmental sustainability criteria. Increasingly, the possession of environmental certificates, widespread among large companies but not among small ones, is increasingly decisive to obtain a public parking tender. The objective of this work is to analyze whether small companies, which are a large number in the sector, have possibilities of continuing their activity in the market in the face of an increase in the degree of sustainability in mobility policies. For this purpose, the Real Options methodology will be used, applying an abandonment option for a period of 10 years. The results provide a high NPV value (€598,491.2) and a Real Options value, together with the exit option, of €630,341.9. The exit option contributes a growth of only 5.32% with respect to the NPV. Therefore, the option to stay in the market is an appropriate choice for decision-makers.Xunta de Galicia | Ref. ED481A-2018/341Xunta de Galicia | Ref. ED481B2018/095Xunta de Galicia | Ref. ED431C2018/48Xunta de Galicia | Ref. ED431E2018/07Agencia Estatal de Investigación | Ref. RTI2018-099225-B-10

Towards an adaptive hardware parallel particle filter

A particle filter is a Montecarlo-based method suitable for predicting future states of non-linear systems with non-Gaussian noise. It is based on a set of samples of the state where each individual sample is called particle. These particles are weighted according to the real measure of the state in order to estimate the future state of the system

Self-Learning Embedded System for Object Identification in Intelligent Infrastructure Sensors

The emergence of new horizons in the field of travel assistant management leads to the development of cutting-edge systems focused on improving the existing ones. Moreover, new opportunities are being also presented since systems trend to be more reliable and autonomous. In this paper, a self-learning embedded system for object identification based on adaptive-cooperative dynamic approaches is presented for intelligent sensor’s infrastructures. The proposed system is able to detect and identify moving objects using a dynamic decision tree. Consequently, it combines machine learning algorithms and cooperative strategies in order to make the system more adaptive to changing environments. Therefore, the proposed system may be very useful for many applications like shadow tolls since several types of vehicles may be distinguished, parking optimization systems, improved traffic conditions systems, etc

The Limits of Tolerance in Public Universities

In this article, our aim is to reflect on the legitimate ways that religious pluralism may be managed in the state-owned public university environment. To do this, it will be necessary to take into consideration the essential characteristics of the origin of the university. The second point in our work will be to clarify the concept of tolerance and its difference from neutrality, which will allow us to carry out the reflection and subsequent discussion with rigour. For our third point, we will describe the essential characteristics of the religious conflicts that can be found in our European universities and how they are being managed. Following a critical analysis of these cases, we will present a proposal of criteria to be used in evaluating the religious practices in state-owned public universities based on the theory of discourse ethics. Finally, in the conclusion we will indicate some new lines of research and the path that public institutions may follow in managing religious conflict

Cooperative Learning Model based on Multi-Agent Architecture for Embedded Intelligent Systems

Cooperative systems are suitable for many types of applications and nowadays these system are vastly used to improve a previously defined system or to coordinate multiple devices working together. This paper provides an alternative to improve the reliability of a previous intelligent identification system. The proposed approach implements a cooperative model based on multi-agent architecture. This new system is composed of several radar-based systems which identify a detected object and transmit its own partial result by implementing several agents and by using a wireless network to transfer data. The proposed topology is a centralized architecture where the coordinator device is in charge of providing the final identification result depending on the group behavior. In order to find the final outcome, three different mechanisms are introduced. The simplest one is based on majority voting whereas the others use two different weighting voting procedures, both providing the system with learning capabilities. Using an appropriate network configuration, the success rate can be improved from the initial 80% up to more than 90%

Decision system based on neural networks to optimize the energy efficiency of a petrochemical plant

The energy efficiency of industrial plants is an important issue in any type of business but particularly in the chemical industry. Not only is it important in order to reduce costs, but also it is necessary even more as a means of reducing the amount of fuel that gets wasted, thereby improving productivity, ensuring better product quality, and generally increasing profits. This article describes a decision system developed for optimizing the energy efficiency of a petrochemical plant. The system has been developed after a data mining process of the parameters registered in the past. The designed system carries out an optimization process of the energy efficiency of the plant based on a combined algorithm that uses the following for obtaining a solution: On the one hand, the energy efficiency of the operation points occurred in the past and, on the other hand, a module of two neural networks to obtain new interpolated operation points. Besides, the work includes a previous discriminant analysis of the variables of the plant in order to select the parameters most important in the plant and to study the behavior of the energy efficiency index. This study also helped ensure an optimal training of the neural networks. The robustness of the system as well as its satisfactory results in the testing process (an average rise in the energy efficiency of around 7%, reaching, in some cases, up to 45%) have encouraged a consulting company (ALIATIS) to implement and to integrate the decision system as a pilot software in an SCADA