Nou sistema per localitzar llocs d'aparcament al carrer

Investigadors de la UAB, de l'empresa WorldSensing i del Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) han desenvolupat un sistema que localitza places d'aparcament lliures al carrer i guia l'usuari fins a la més propera. El sistema, al que han anomenat XALOC, està basat en una nova tecnologia de localització més precisa que el GPS en zones urbanes.Investigadores de la UAB, de la empresa WorldSensing y del CentroTecnológico de Telecomunicaciones de Catalunya (CTTC) han desarrollado un sistema que localiza plazas de aparcamiento libres en la calle y que guía al usuario hasta la más próxima. El sistema, al que han llamado XALOC, está basado en una nueva tecnología de localización más precisa que el GPS en zonas urbanas

Identificación de mutaciones deletéreas en MTIF3 asociadas a enfermedad de Parkinson a propósito de un caso clínico

Several genes involved in mitochondrial function have been related to Parkinson’s Disease (PD). Mutations in the mitochondrial serine-threonine kinase PINK1 have been described as causing early-onset autosomal recessive variant of PD. Here we have tested a candidate interactor protein of PINK1, the mitochondrial translation initiation factor 3 (MTIF3) for its potential involvement in PD pathogenesis. MTIF3 encodes a protein which triggers the initiation of complex formation on mitochondrial ribosomes. Dysfunction of MTIF3 leads to vulnerability to oxidative stress, related with neuronal degeneration in PD. We describe a patient affected of PD who carries both, a frameshift and a nonsense mutation in heterozygosis of the MTIF3 gene. We suggest that MTIF3 should be included in the panel of genes screened in PD patients with atypical phenotypes; especially in those with suspected autosomical recessive pattern.Grado en Medicin

Aplicación de la programación en Autolisp en la enseñanza de la geometría. Curvas trocoidales

En este artículo presentamos las posibilidades que, desde un punto de vista didáctico, ofrece la programación en AutoLISP en la enseñanza de la geometría, en particular en el trazado y aplicación de curvas trocoidales. La idea original consistía en realizar un programa que crease un nuevo comando de AutoCAD capaz de trazar cualquier curva trocoidal –tanto particulares (evolventes y cicloides) como no particulares (epitrocoides, hipotrocoides o peritrocoides)–, con independencia de la situación del punto generador (alargadas, acortadas o normales). La elaboración del programa es relativamente simple. Para obtener todos los puntos de la curva es necesario aplicar siempre las mismas propiedades, lo que hace especialmente aconsejable la automatización del proceso. El programa realizado permite seleccionar sobre la pantalla generatriz y directriz, así como el punto que genera la curva. Se nos ofrece, asimismo, establecer el sentido de giro de la ruleta, la precisión de puntos hallados en cada ciclo (tantos como deseemos o como nuestro ordenador sea capaz de soportar), el número de vueltas y, por último, la posibilidad de apreciar, o no, la generación de la trocoide. Esta última opción permite observar, en la pantalla del ordenador, el giro de la generatriz sobre la directriz y la generación progresiva de la curva. Esta pequeña animación –contenida en un comando de AutoCAD– ha convertido un programa originalmente concebido para el trazado de curvas trocoidales, en una herramienta didáctica

Probioticos: potencial para prevenir y curar

The History of probiotics soars to ancient times, when there wasn´t even a term to name several nourishments which had beneficial, almost curative effects on the organism. Nowadays, microorganisms whose effects are preventive of some pathologies or which decrease the damage caused by some illnesses are called “probiotics”. Probiotic microorganisms must verify certain specific characteristics such as innocuity, stability, real efficacy, easy administration, digestive tropism or colonization capacity, power to constitute a barrier against infections and improvement of immune usefulness. They are usually consumed preventively since they work by improving the nourish process and producing essential vitamins. However, its real reach is based on specific clinical practice, such as the treatment of digestive, genitourinary or immune pathologies. They even try to palliate the effects of cance

A Review of pedestrian indoor positioning systems for mass market applications

In the last decade, the interest in Indoor Location Based Services (ILBS) has increased stimulating the development of Indoor Positioning Systems (IPS). In particular, ILBS look for positioning systems that can be applied anywhere in the world for millions of users, that is, there is a need for developing IPS for mass market applications. Those systems must provide accurate position estimations with minimum infrastructure cost and easy scalability to different environments. This survey overviews the current state of the art of IPSs and classifies them in terms of the infrastructure and methodology employed. Finally, each group is reviewed analysing its advantages and disadvantages and its applicability to mass market applications

LSTM-Based Wastewater Treatment Plants Operation Strategies for Effluent Quality Improvement

Wastewater Treatment Plants (WWTPs) are facilities devoted to managing and reducing the pollutant concentrations present in the urban residual waters. Some of them consist in nitrogen and phosphorus derived products which are harmful for the environment. Consequently, certain constraints are applied to pollutant concentrations in order to make sure that treated waters comply with the established regulations. In that sense, efforts have been applied to the development of control strategies that help in the pollutant reduction tasks. Furthermore, the appearance of Artificial Neural Networks (ANNs) has encouraged the adoption of predictive control strategies. In such a fashion, this work is mainly focused on the adoption and development of them to actuate over the pollutant concentrations only when predictions of effluents determine that violations will be produced. In that manner, the overall WWTP's operational costs can be reduced. Predictions are generated by means of an ANN-based Soft-Sensor which adopts Long-Short Term Memory cells to predict effluent pollutant levels. These are the ammonium (S-{NH,e}) and the total nitrogen (S-{Ntot,e}) which are predicted considering influent parameters such as the ammonium concentration at the entrance of the WWTP reactor tanks (S-{NH,po}), the reactors' input flow rate (Q-{po}), the WWTP recirculation rate (Q-{a}) and the environmental temperature (T-{as}). Moreover, this work presents a new multi-objective control scenario which consists in a unique control structure performing the reduction of S-{NH,e} and S-{Ntot,e} concentrations simultaneously. Performance of this new control approach is contrasted with other strategies to determine the improvement provided by the ANN-based Soft-Sensor as well as by the fact of being controlling two pollutants at the same time. Results show that some brief and small violations are still produced. Nevertheless, an improvement in the WWTPs performance w.r.t.The most common control strategies around 96.58% and 98.31% is achieved for S-{NH,e} and S-{Ntot,e}, respectively

A Recurrent Neural Network for Wastewater Treatment Plant Effuents' Prediction

[Abstract] Wastewater Treatment Plants (WWTP) are industries devoted to process water coming from cities' sewer systems and to reduce their contamination. High-pollutant products are generated in the pollutant reduction processes. For this reason, certain limits are established and violations of them are translated into high economic punishments and environmental problems. In this paper data driven methods are performed to monitor the WWTP behaviour. The aim is to predict its effluent concentrations in order to reduce possible violations and their derived costs. To do so, an alarm generation system based on the application of Artificial Neural Networks (ANNs) is proposed. The proposed system shows a good prediction accuracy (errors around 5%) and a reduced miss-detection probability (30%).[Resumen] Las Plantas de tratamiento de aguas residuales (PTAR) son industrias dedicadas a procesar el agua que proviene de los sistemas de alcantarillado de las ciudades y reducir su contaminación. Los productos de alta contaminación se generan en los procesos de reducción de contaminantes. Por esta razón, se establecen ciertos límites y sus violaciones se traducen en castigos económicos elevados y problemas ambientales. En este documento, se realizan métodos controlados por datos para monitorizar el comportamiento de la EDAR. El objetivo es predecir sus concentraciones de efluentes para reducir las posibles violaciones y sus costos derivados. Para ello, se propone un sistema de generación de alarmas basado en la aplicación de Redes Neuronales Artificiales (ANN). El sistema propuesto muestra una buena precisión de predicción (errores en torno al 5%) y una probabilidad de detección errónea reducida (30%).Ministerio de Economía y Empresa; DPI2016-77271-

The history of the construction of the Cuban National Capitol

In 2019, the Office of the Historian of the City of Havana (OHCH) completed the restoration of the National Capitol of Cuba. It had begun in 2010. The architectural intervention on this monument is, so far, the largest restoration project the country has ever faced, due to its size, importance and large scale. This article describes its history and construction methods, emphasising the construction and technical innovation that made it possible to complete the work in a very short time for the conditions and techniques of the time: only three years (1926 to 1929) for a building that had 13,483 m2 of construction and 26,391 m2 of parks and gardens, covering a total area of approximately 43,600 m2 [1]. The research goal is to provide information on the construction solutions and materials used to build the monument, based on the extensive graphic and photographic documentation located in the different archives in Havana, consulted by staff from the University of Alicante and the Polytechnic University of Cartagena, throughout 2010 and 2011. This made it possible to carry out a subsequent detailed study of this information. It took approximately two years to deeply understand the innovative construction of a neoclassical style building, made of reinforced concrete and iron but covered in stone, and to be able to redraw, by means of technical axonometries, the load-bearing structure of the central body. The study focuses primarily on the central body of the building, which supports the large dome, and unmasks its highly complicated internal structure

Denoising Autoencoders and LSTM-Based Artificial Neural Networks Data Processing for Its Application to Internal Model Control in Industrial Environments-The Wastewater Treatment Plant Control Case

Altres ajuts: Secretaria d'Universitats i Recerca del Departament d'Empresa i Coneixement de la Generalitat de Catalunya i del Fons Social Europeu (2020 FI_B2 000)The evolution of industry towards the Industry 4.0 paradigm has become a reality where different data-driven methods are adopted to support industrial processes. One of them corresponds to Artificial Neural Networks (ANNs), which are able to model highly complex and non-linear processes. This motivates their adoption as part of new data-driven based control strategies. The ANN-based Internal Model Controller (ANN-based IMC) is an example which takes advantage of the ANNs characteristics by modelling the direct and inverse relationships of the process under control with them. This approach has been implemented in Wastewater Treatment Plants (WWTP), where results show a significant improvement on control performance metrics with respect to (w.r.t.) the WWTP default control strategy. However, this structure is very sensible to non-desired effects in the measurements-when a real scenario showing noise-corrupted data is considered, the control performance drops. To solve this, a new ANN-based IMC approach is designed with a two-fold objective, improve the control performance and denoise the noise-corrupted measurements to reduce the performance degradation. Results show that the proposed structure improves the control metrics, (the Integrated Absolute Error (IAE) and the Integrated Squared Error (ISE)), around a 21.25% and a 54.64%, respectively

New Insights into the Role of Macrophages in Adipose Tissue Inflammation and Fatty Liver Disease: Modulation by Endogenous Omega-3 Fatty Acid-Derived Lipid Mediators

Obesity is causally linked to a chronic state of “low-grade” inflammation in adipose tissue. Prolonged, unremitting inflammation in this tissue has a direct impact on insulin-sensitive tissues (i.e., liver) and its timely resolution is a critical step toward reducing the prevalence of related co-morbidities such as insulin resistance and non-alcoholic fatty liver disease. This article describes the current state-of-the-art knowledge and novel insights into the role of macrophages in adipose tissue inflammation, with special emphasis on the progressive changes in macrophage polarization observed over the course of obesity. In addition, this article extends the discussion to the contribution of Kupffer cells, the liver resident macrophages, to metabolic liver disease. Special attention is given to the modulation of macrophage responses by omega-3-PUFAs, and more importantly by resolvins, which are potent anti-inflammatory and pro-resolving autacoids generated from docosahexaenoic and eicosapentaenoic acids. In fact, resolvins have been shown to work as endogenous “stop signals” in inflamed adipose tissue and to return this tissue to homeostasis by inducing a phenotypic switch in macrophage polarization toward a pro-resolving phenotype. Collectively, this article offers new views on the role of macrophages in metabolic disease and their modulation by endogenously generated omega-3-PUFA-derived lipid mediators