Chatbol, a chatbot for the Spanish “La Liga”

Segura C., Palau À., Luque J., Costa-Jussà M.R., Banchs R.E. (2019) Chatbol, a Chatbot for the Spanish “La Liga”. In: D'Haro L., Banchs R., Li H. (eds) 9th International Workshop on Spoken Dialogue System Technology. Lecture Notes in Electrical Engineering, vol 579. Springer, SingaporeThis work describes the development of a social chatbot for the football domain. The chatbot, named chatbol, aims at answering a wide variety of questions related to the Spanish football league “La Liga”. Chatbol is deployed as a Slack client for text-based input interaction with users. One of the main Chatbol’s components, a NLU block, is trained to extract the intents and associated entities related to user’s questions about football players, teams, trainers and fixtures. The information for the entities is obtained by making sparql queries to Wikidata site in real time. Then, the retrieved data is used to update the specific chatbot responses. As a fallback strategy, a retrieval-based conversational engine is incorporated to the chatbot system. It allows for a wider variety and freedom of responses, still football oriented, for the case when the NLU module was unable to reply with high confidence to the user. The retrieval-based response database is composed of real conversations collected both from a IRC football channel and from football-related excerpts picked up across movie captions, extracted from the OpenSubtitles databasePeer ReviewedPostprint (author's final draft

Burst detection in water networks using principal component anlysis

The following work presents a multivariate statistical technique applied to the control of water inflows into district metering areas (DMAs) of urban networks. This technique, called principal-component analysis (PCA), allows for a sensitive and quick analysis of the inflows into a DMA without hassling mathematical algorithms. The PCA technique simplifies the original set of flow rate data recorded by the supervisory control and data acquisition (SCADA) system, synthesizing the most significant information into a statistical model that is able to explain most of the behavior of the water distribution network. The PCA technique also allows for the establishment of control charts that help system operators in the identification of anomalous behaviors regarding water use, bursts, or illegal connections. The described technique has been proven to offer high detection sensitivity to bursts or other unexpected consumptions.Palau Estevan, CV.; Arregui De La Cruz, F.; Carlos Alberola, MDM. (2012). Burst detection in water networks using principal component anlysis. Journal of Water Resources Planning and Management. 138(1):47-54. doi:10.1061/(ASCE)WR.1943-5452.0000147S4754138

Analysis techniques and models for resource optimization in Wireless Sensor/Actuator Network environment

Abstract. In the last few years, WSN has been object of an intense research activity that has determined an important improvement by technologic and computation point of view both. The notable level got and the increasing request of applications designed over Sensor Networks make WSN commercial diffusion next to be a fact. Limited resource orientation and high level application requirements result in a number of key open issues, such as Resource Optimization and Quality of Service. These last two issues require an important preliminary phase of analysis and evaluation that can provide the designer with knowledge of important relationships between parameters design and application desired characteristics. Mathematical models of local resource (node), of network influence on single resource, of QoS requests, and related analysis techniques to determine not only "how much" but also "in which way" resources are expensed are proposed in this paper

System for monitoring and supporting the treatment of sleep apnea using IoT and big data

[EN] Sleep apnea has become in the sleep disorder that causes greater concern in recent years due to its morbidity and mortality, higher medical care costs and poor people quality of life. Some proposals have addressed sleep apnea disease in elderly people, but they have still some technical limitations. For these reasons, this paper presents an innovative system based on fog and cloud computing technologies which in combination with IoT and big data platforms offers new opportunities to build novel and innovative services for supporting the sleep apnea and to overcome the current limitations. Particularly, the system is built on several low-power wireless networks with heterogeneous smart devices (i.e, sensors and actuators). In the fog, an edge node (Smart IoT Gateway) provides IoT connection and interoperability and pre-processing IoT data to detect events in real-time that might endanger the elderly's health and to act accordingly. In the cloud, a Generic Enabler Context Broker manages, stores and injects data into the big data analyzer for further processing and analyzing. The system's performance and subjective applicability are evaluated using over 30 GB size datasets and a questionnaire fulfilled by medicals specialist, respectively. Results show that the system data analytics improve the health professionals' decision making to monitor and guide sleep apnea treatment, as well as improving elderly people's quality of life. (C) 2018 Elsevier B.V. All rights reserved.This research was supported by the Ecuadorian Government through the Secretary of Higher Education, Science, Technology, and Innovation (SENESCYT) and has received funding from the European Union's "Horizon 2020'' research and innovation program as part of the ACTIVAGE project under Grant 732679 and the Interoperability of Heterogeneous IoT Platforms project (INTER-IoT) under Grant 687283.Yacchirema-Vargas, DC.; Sarabia-Jácome, DF.; Palau Salvador, CE.; Esteve Domingo, M. (2018). System for monitoring and supporting the treatment of sleep apnea using IoT and big data. Pervasive and Mobile Computing. 50:25-40. https://doi.org/10.1016/j.pmcj.2018.07.007S25405

Understanding air release through air valves

[EN] Water transients with entrapped air can originate large pressure peaks that can severely damage distribution networks. Entrapped air can have a damping or amplifying effect on these undesirable pressure peaks. Unfortunately, the complexity of the phenomenon too often makes it difficult to obtain a fully reliable prediction about when air pockets will mitigate or accentuate water transients. Furthermore, the value of some of the parameters involved in the conventional numerical models cannot be calculated or measured and need to be determined through a calibration process. With the aim of overcoming most of the aforementioned uncertainties, this paper summarizes a complete set of tests conducted at WL | Delft Hydraulics. These tests were simulated by means of a tailored numerical model that includes a set of parameters whose values were determined by means of a calibration process. The experimental setup, a large-scale facility, consisted of a single steep pipeline with an air valve installed at its top end. Air release through different air valves was tested under different conditions. © 2011 American Society of Civil Engineers.This research has been possible thanks to the European Community Programme "Access to Major Research Infrastructure" under the Fifth Framework Growth Programme (Contract No. GIRT-CT-2002-05069).Carlos Alberola, MDM.; Arregui De La Cruz, F.; Cabrera Marcet, E.; Palau, C. (2011). Understanding air release through air valves. Journal of Urban Planning and Development. 137(4):461-469. doi:10.1061/(ASCE)HY.1943-7900.0000324S461469137

I3WSN: Industrial Intelligent Wireless Sensor Networks for indoor environments

Sensor Web Enablement (SWE) technologies have been successfully applied to a great variety of outdoor scenarios but, in practical terms, little effort has been applied for indoor environments, and even less in the field of industrial applications. This article presents an intelligent SWE application for an indoor and industrial scenario, with the aim of improving and increasing the levels of human safety. The base lowlevel architecture is built on top of wireless sensor networks (WSN) connected to a Sensor Observation Service (SOS). Higher layers in the architecture include services that make real time decisions based on the collected data. Both simulation and experimental results are presented. The paper shows the viability of our approach in terms of performance, scalability, modularity and safety.This work has been partially funded by the Spanish Ministry of Industry under the project FASyS (Absolutely Safe and Healthy Factory) grant number CENIT 2009-1034.Giménez Salazar, P.; Molina Moreno, B.; Calvo-Gallego, J.; Esteve Domingo, M.; Palau Salvador, CE. (2014). I3WSN: Industrial Intelligent Wireless Sensor Networks for indoor environments. Computers in Industry. 65(1):187-199. https://doi.org/10.1016/j.compind.2013.09.002S18719965

A DERL3-associated defect in the degradation of SLC2A1 mediates the Warburg effect

Cancer cells possess aberrant proteomes that can arise by the disruption of genes involved in physiological protein degradation. Here we demonstrate the presence of promoter CpG island hypermethylation-linked inactivation of DERL3 (Derlin-3), a key gene in the endoplasmic reticulum-associated protein degradation pathway, in human tumours. The restoration of in vitro and in vivo DERL3 activity highlights the tumour suppressor features of the gene. Using the stable isotopic labelling of amino acids in cell culture workflow for differential proteome analysis, we identify SLC2A1 (glucose transporter 1, GLUT1) as a downstream target of DERL3. Most importantly, SLC2A1 overexpression mediated by DERL3 epigenetic loss contributes to the Warburg effect in the studied cells and pinpoints a subset of human tumours with greater vulnerability to drugs targeting glycolysis

CIGB-300, a synthetic peptide-based drug that targets the CK2 phosphoaceptor domain. Translational and clinical research

CK2 represents an oncology target scientifically validated. However, clinical research with inhibitors of the CK2-mediated phosphorylation event is still insufficient to recognize it as a clinically validated target. CIGB-300, an investigational peptide-based drug that targets the phosphoaceptor site, binds to a CK2 substrate array in vitro but mainly to B23/nucleophosmin in vivo. The CIGB-300 proapoptotic effect is preceded by its nucleolar localization, inhibition of the CK2-mediated phosphorylation on B23/nucleophosmin and nucleolar disassembly. Importantly, CIGB-300 shifted a protein array linked to apoptosis, ribosome biogenesis, cell proliferation, glycolisis, and cell motility in proteomic studies which helped to understand its mechanism of action. In the clinical ground, CIGB-300 has proved to be safe and well tolerated in a First-in-Human trial in women with cervical malignancies who also experienced signs of clinical benefit. In a second Phase 1 clinical trial in women with cervical cancer stage IB2/II, the MTD and DLT have been also identified in the clinical setting. Interestingly, in cervical tumors the B23/nucleophosmin protein levels were significantly reduced after CIGB-300 treatment at the nucleus compartment. In addition, expanded use of CIGB-300 in case studies has evidenced antitumor activity when administered as compassional option. Collectively, our data outline important clues on translational and clinical research from this novel peptide-based drug reinforcing its perspectives to treat cancer and paving the way to validate CK2 as a promising target in oncology.Fil: Perea, Silvio E.. Center for Genetic Engineering and Biotechnology; CubaFil: Baladron, Idania. Center for Genetic Engineering and Biotechnology; CubaFil: Garcia, Yanelda. Center for Genetic Engineering and Biotechnology; CubaFil: Perera, Yasser. Center for Genetic Engineering and Biotechnology; CubaFil: Lopez, Adlin. Center for Genetic Engineering and Biotechnology; CubaFil: Soriano, Jorge L.. Center for Genetic Engineering and Biotechnology; Cuba. General Hospital ‘‘Hermanos Ameijeiras’; CubaFil: Batista, Noyde. Center for Genetic Engineering and Biotechnology; Cuba. General Hospital ‘‘Hermanos Ameijeiras’; CubaFil: Palau, Aley. Center for Genetic Engineering and Biotechnology; Cuba. General Hospital ‘‘Hermanos Ameijeiras’; CubaFil: Hernández, Ignacio. Center for Genetic Engineering and Biotechnology; CubaFil: Farina, Hernán Gabriel. Universidad Nacional de Quilmes; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Garcia, Idrian. Center for Genetic Engineering and Biotechnology; CubaFil: Gonzalez, Lidia. Center for Genetic Engineering and Biotechnology; CubaFil: Gil, Jeovanis. Center for Genetic Engineering and Biotechnology; CubaFil: Rodriguez, Arielis. Center for Genetic Engineering and Biotechnology; CubaFil: Solares, Margarita. Center for Genetic Engineering and Biotechnology; CubaFil: Santana, Agueda. Center for Genetic Engineering and Biotechnology; CubaFil: Cruz, Marisol. Center for Genetic Engineering and Biotechnology; CubaFil: Lopez, Matilde. Center for Genetic Engineering and Biotechnology; CubaFil: Valenzuela, Carmen. Center for Genetic Engineering and Biotechnology; CubaFil: Reyes, Osvaldo. Center for Genetic Engineering and Biotechnology; CubaFil: López Saura, Pedro A.. Center for Genetic Engineering and Biotechnology; CubaFil: González, Carlos A.. Center for Genetic Engineering and Biotechnology; CubaFil: Diaz, Alina. Center for Genetic Engineering and Biotechnology; CubaFil: Castellanos, Lila. Center for Genetic Engineering and Biotechnology; CubaFil: Sanchez, Aniel. Center for Genetic Engineering and Biotechnology; CubaFil: Betancourt, Lazaro. Center for Genetic Engineering and Biotechnology; CubaFil: Besada, Vladimir. Center for Genetic Engineering and Biotechnology; CubaFil: González, Luis J.. Center for Genetic Engineering and Biotechnology; CubaFil: Garay, Hilda. Center for Genetic Engineering and Biotechnology; CubaFil: Gómez, Roberto. Center for Genetic Engineering and Biotechnology; CubaFil: Gomez, Daniel Eduardo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes; ArgentinaFil: Alonso, Daniel Fernando. Universidad Nacional de Quilmes; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Perrin, Phillipe. No especifíca;Fil: Renualt, Jean Yves. No especifíca;Fil: Sigman, Hugo. No especifíca;Fil: Herrera, Luis. Center for Genetic Engineering and Biotechnology; CubaFil: Acevedo, Boris. Center for Genetic Engineering and Biotechnology; Cub