History-based Self-Organizing Traffic Lights

Managing traffic in cities is nowadays a complex problem involving considerable physical and economical resources. Multi-agent Systems (MAS) consist of a set of distributed, usually co-operating, agents that act autonomously. The traffic in a city can be simulated by a MAS with different agents, cars and traffic lights, that interact to obtain an overall goal: to reduce average waiting times for the traffic users. In this paper, we describe an agent-based simulator to model traffic in cities.Using this simulator, we present a self-organizing solution to efficiently manage urban traffic. We compare our proposal with recent approaches, providing better results than classical and alternative self-organizing methods, with lower resources and investments

A library for automatic natural language generation of Spanish texts

In this article we present a novel system for natural language generation (nlg) of Spanish sentences from a minimum set of meaningful words (such as nouns, verbs and adjectives) which, unlike other state-of-the-art solutions, performs the nlg task in a fully automatic way, exploiting both knowledge-based and statistical approaches. Relying on its linguistic knowledge of vocabulary and grammar, the system is able to generate complete, coherent and correctly spelled sentences from the main word sets presented by the user. The system, which was designed to be integrable, portable and efficient, can be easily adapted to other languages by design and can feasibly be integrated in a wide range of digital devices. During its development we also created a supplementary lexicon for Spanish, aLexiS, with wide coverage and high precision, as well as syntactic trees from a freely available definite-clause grammar. The resulting nlg library has been evaluated both automatically and manually (annotation). The system can potentially be used in different application domains such as augmentative communication and automatic generation of administrative reports or news.Xunta de Galicia | Ref. ED341D R2016/012Xunta de Galicia | Ref. GRC 2014/046Ministerio de Economía, Industria y Competitividad | Ref. TEC2016-76465-C2-2-

Automatic detection of relevant information, predictions and forecasts in financial news through topic modelling with Latent Dirichlet Allocation

Financial news items are unstructured sources of information that can be mined to extract knowledge for market screening applications. They are typically written by market experts who describe stock market events within the context of social, economic and political change. Manual extraction of relevant information from the continuous stream of finance-related news is cumbersome and beyond the skills of many investors, who, at most, can follow a few sources and authors. Accordingly, we focus on the analysis of financial news to identify relevant text and, within that text, forecasts and predictions. We propose a novel Natural Language Processing (NLP) system to assist investors in the detection of relevant financial events in unstructured textual sources by considering both relevance and temporality at the discursive level. Firstly, we segment the text to group together closely related text. Secondly, we apply co-reference resolution to discover internal dependencies within segments. Finally, we perform relevant topic modelling with Latent Dirichlet Allocation (LDA) to separate relevant from less relevant text and then analyse the relevant text using a Machine Learning-oriented temporal approach to identify predictions and speculative statements. Our solution outperformed a rule-based baseline system. We created an experimental data set composed of 2,158 financial news items that were manually labelled by NLP researchers to evaluate our solution. Inter-agreement Alpha-reliability and accuracy values, and ROUGE-L results endorse its potential as a valuable tool for busy investors. The ROUGE-L values for the identification of relevant text and predictions/forecasts were 0.662 and 0.982, respectively. To our knowledge, this is the first work to jointly consider relevance and temporality at the discursive level. It contributes to the transfer of human associative discourse capabilities to expert systems through the combination of multi-paragraph topic segmentation and co-reference resolution to separate author expression patterns, topic modelling with LDA to detect relevant text, and discursive temporality analysis to identify forecasts and predictions within this text. Our solution may have compelling applications in the financial field, including the possibility of extracting relevant statements on investment strategies to analyse authors’ reputations.Universidade de Vigo/CISUGXunta de Galicia | Ref. ED481B-2021-118Xunta de Galicia | Ref. ED481B-2022-09

A System for Automatic English Text Expansion

This work was supported in part by the Mineco, Spain, under Grant TEC2016-76465-C2-2-R, in part by the Xunta de Galicia, Spain, under Grant GRC-2018/53 and Grant ED341D R2016/012, and in part by the University of Vigo Travel Grant to visit the CLAN Research Group, University of Aberdeen, U.K.Peer reviewedPublisher PD

A system for automatic English text expansion

We present an automatic text expansion system to generate English sentences, which performs automatic Natural Language Generation (NLG) by combining linguistic rules with statistical approaches. Here, “automatic” means that the system can generate coherent and correct sentences from a minimum set of words. From its inception, the design is modular and adaptable to other languages. This adaptability is one of its greatest advantages. For English, we have created the highly precise aLexiE lexicon with wide coverage, which represents a contribution on its own. We have evaluated the resulting NLG library in an Augmentative and Alternative Communication (AAC) proof of concept, both directly (by regenerating corpus sentences) and manually (from annotations) using a popular corpus in the NLG field. We performed a second analysis by comparing the quality of text expansion in English to Spanish, using an ad-hoc Spanish-English parallel corpus. The system might also be applied to other domains such as report and news generation.Ministerio de Economía, Industria y Competitividad | Ref. TEC2016-76465-C2-2-RXunta de Galicia | Ref. GRC-2018/53Xunta de Galicia | Ref. ED341D R2016/012University of Aberdee

Evaluación de competencias con metodologías de aprendizaje basado en proyectos

[EN] After two years teaching a course on project based learning following the Design Thinking methodology within the Master in Telecommunication Engineering at the University of Vigo, the authors present their experience. With that aim, the course is introduced, taking especial care in presenting the skills that will be developed and evaluated following Design Thinking dynamics. Then, we explain the process of team construction, its development and the evaluation procedure, in which both lecturers and students take part following rubrics previously known and published at the beginning of the course. Besides, we analyse the results of marking the works developed by the teams, considering both lecturers and peers evaluations, as well as the students satisfaction for being involved in such a experience.[ES] Tras dos cursos impartiendo una asignatura de aprendizaje basado en proyectos según la metodología Design Thinking en el Máster en Ingeniería de Telecomunicación de la Universidad de Vigo, los autores presentan su experiencia. Para ello se introduce la asignatura, con especial énfasis en la presentación de las competencias que se desarrollan y evalúan según dinámicas de Design Thinking. Posteriormente se expone el proceso de definición de los grupos, su desarrollo y el procedimiento de evaluación, en el que intervienen tanto docentes como alumnos siguiendo unas rúbricas conocidas y publicadas al principio del curso. También se analizan los resultados de la evaluación de los trabajos paralelizando las valoraciones de profesores y alumnos, así como la evaluación de la satisfacción que muestran los alumnos al participar en una experiencia de este tipo.Cuiñas, I.; Mariño-Espiñeira, P.; Fernández-Iglesias, M.; Caeiro, M.; Costa-Montenegro, E.; Díaz-Otero, F. (2016). Evaluación de competencias con metodologías de aprendizaje basado en proyectos. En In-Red 2016. II Congreso nacional de innovación educativa y docencia en red. Editorial Universitat Politècnica de València. https://doi.org/10.4995/INRED2016.2016.435

Evaluación de la implantación de la metodología Design Thinking en una asignatura de proyectos

[EN] This paper discusses the experience of introducing the Design Thinking methodology in course Project Lab (LPRO) in academic year 2015/2016. LPRO is a course in the syllabus of the degree in Telecommunication Technologies Engineering taught at University of Vigo, Spain. First, the target course is introduced, as it can be considered to be a unique course in a similar way to the Design Thinking methodology applied. Then, we discuss how Design Thinking was approached in three from the nineteen projects carried out during the mentioned academic year, paying special attention to the restrictions related to the time teachers could devote to interact with students in actual lectures. Finally, some results and concluding remarks are offered.[ES] En esta comunicación relataremos la experiencia desarrollada durante el curso 2015/2016 al implantar la metodología Design Thinking en la asignatura Laboratorio de Proyectos (LPRO) impartida en el Grado en Ingeniería de Tecnologías de Telecomunicación de la Universidad de Vigo. Para ello presentaremos la asignatura, dado que se trata de una asignatura singular dentro del plan de estudios de esta titulación de grado, al igual que la metodología Design Thinking. Posteriormente explicaremos cómo hemos introducido dicha metodología en tres de los diecinueve proyectos llevados a cabo en la asignatura, sobre todo teniendo en cuenta las restricciones de horas presenciales dedicadas al trabajo en clase con el profesor. Finalmente presentaremos los resultados y conclusiones extraídos de esta experiencia.Costa Montenegro, E.; Díaz Otero, F.; Caeiro Rodríguez, M.; Cuiñas Gómez, I.; Mariño Espiñeira, P.; Fernández Iglesias, M. (2016). Evaluación de la implantación de la metodología Design Thinking en una asignatura de proyectos. En In-Red 2016. II Congreso nacional de innovación educativa y docencia en red. Editorial Universitat Politècnica de València. https://doi.org/10.4995/INRED2016.2016.4357OC

Spin-state-dependent electrical conductivity in single-walled carbon nanotubes encapsulating spin-crossover molecules

Spin crossover (SCO) molecules are promising nanoscale magnetic switches due to their ability to modify their spin state under several stimuli. However, SCO systems face several bottlenecks when downscaling into nanoscale spintronic devices: their instability at the nanoscale, their insulating character and the lack of control when positioning nanocrystals in nanodevices. Here we show the encapsulation of robust Fe-based SCO molecules within the 1D cavities of single-walled carbon nanotubes (SWCNT). We find that the SCO mechanism endures encapsulation and positioning of individual heterostructures in nanoscale transistors. The SCO switch in the guest molecules triggers a large conductance bistability through the host SWCNT. Moreover, the SCO transition shifts to higher temperatures and displays hysteresis cycles, and thus memory effect, not present in crystalline samples. Our results demonstrate how encapsulation in SWCNTs provides the backbone for the readout and positioning of SCO molecules into nanodevices, and can also help to tune their magnetic properties at the nanoscale.Marie Skłodowska-Curie Actions 74657Programa de Atracción del Talento Investigador 2017-T1/IND-5562Ministerio de Economia, Industria y Competitividad CTQ2017-86060-P, PID2019-111479GB-100, MAT 2017-8225, GC2018-101689-B-I00Consejo Europeo de Investigación ERC-StG-307609, ERC-PoC-842606Comunidad Autónoma de Madrid MAD2D-CM S2013/ MIT-3007, PEJD-2017-PRE/IND-4037, Y2018/NMT- 4783NANOMAGCOST P2018/ NMT-432

Acoustic Sensor Planning for Gunshot Location in National Parks: A Pareto Front Approach

In this paper, we propose a solution for gunshot location in national parks. In Spain there are agencies such as SEPRONA that fight against poaching with considerable success. The DiANa project, which is endorsed by Cabaneros National Park and the SEPRONA service, proposes a system to automatically detect and locate gunshots. This work presents its technical aspects related to network design and planning. The system consists of a network of acoustic sensors that locate gunshots by hyperbolic multi-lateration estimation. The differences in sound time arrivals allow the computation of a low error estimator of gunshot location. The accuracy of this method depends on tight sensor clock synchronization, which an ad-hoc time synchronization protocol provides. On the other hand, since the areas under surveillance are wide, and electric power is scarce, it is necessary to maximize detection coverage and minimize system cost at the same time. Therefore, sensor network planning has two targets, i.e., coverage and cost. We model planning as an unconstrained problem with two objective functions. We determine a set of candidate solutions of interest by combining a derivative-free descent method we have recently proposed with a Pareto front approach. The results are clearly superior to random seeding in a realistic simulation scenario

Canagliflozin and renal outcomes in type 2 diabetes and nephropathy

BACKGROUND Type 2 diabetes mellitus is the leading cause of kidney failure worldwide, but few effective long-term treatments are available. In cardiovascular trials of inhibitors of sodium–glucose cotransporter 2 (SGLT2), exploratory results have suggested that such drugs may improve renal outcomes in patients with type 2 diabetes. METHODS In this double-blind, randomized trial, we assigned patients with type 2 diabetes and albuminuric chronic kidney disease to receive canagliflozin, an oral SGLT2 inhibitor, at a dose of 100 mg daily or placebo. All the patients had an estimated glomerular filtration rate (GFR) of 30 to <90 ml per minute per 1.73 m2 of body-surface area and albuminuria (ratio of albumin [mg] to creatinine [g], >300 to 5000) and were treated with renin–angiotensin system blockade. The primary outcome was a composite of end-stage kidney disease (dialysis, transplantation, or a sustained estimated GFR of <15 ml per minute per 1.73 m2), a doubling of the serum creatinine level, or death from renal or cardiovascular causes. Prespecified secondary outcomes were tested hierarchically. RESULTS The trial was stopped early after a planned interim analysis on the recommendation of the data and safety monitoring committee. At that time, 4401 patients had undergone randomization, with a median follow-up of 2.62 years. The relative risk of the primary outcome was 30% lower in the canagliflozin group than in the placebo group, with event rates of 43.2 and 61.2 per 1000 patient-years, respectively (hazard ratio, 0.70; 95% confidence interval [CI], 0.59 to 0.82; P=0.00001). The relative risk of the renal-specific composite of end-stage kidney disease, a doubling of the creatinine level, or death from renal causes was lower by 34% (hazard ratio, 0.66; 95% CI, 0.53 to 0.81; P<0.001), and the relative risk of end-stage kidney disease was lower by 32% (hazard ratio, 0.68; 95% CI, 0.54 to 0.86; P=0.002). The canagliflozin group also had a lower risk of cardiovascular death, myocardial infarction, or stroke (hazard ratio, 0.80; 95% CI, 0.67 to 0.95; P=0.01) and hospitalization for heart failure (hazard ratio, 0.61; 95% CI, 0.47 to 0.80; P<0.001). There were no significant differences in rates of amputation or fracture. CONCLUSIONS In patients with type 2 diabetes and kidney disease, the risk of kidney failure and cardiovascular events was lower in the canagliflozin group than in the placebo group at a median follow-up of 2.62 years