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This paper reports a study carried out in the context of a seminar designed to build teachers' knowledge of content and language integration for assessment in a bilingual education program in Madrid, Spain. The participants were seven teachers (two primary, five secondary) of English and science (primary), and art, history, Spanish language arts and English (secondary). The teachers were introduced to the concept of cognitive discourse function (CDF) and assessed samples of students' work expressing the functions define, evaluate, and explore, using comparative judgement. In sharing and justifying their assessments, they articulated the criteria they used to take their decisions. The findings show that participants emphasized content quality over quantity and language form over function. There was also evidence that the concept of CDFs enabled them to express new understandings of the content-language relationship in assessment. The study has implications for building the knowledge base for content and language integrated assessment across CBLE programs. [ABSTRACT FROM AUTHOR]

The aim of this paper is to facilitate the experimental measurement of acoustic metrics in circular bullrings in accordance with the ISO 3382 standards and to enable the comparison of acoustic measurements and simulations for the various types of bullrings. The proposal analyzes those items in the standard that exert a certain influence on acoustic measurement in bullrings. Based on the identification of the sound sources and audience areas characteristic of bullfights, several locations are proposed, and the most suitable source-receiver combinations are recommended for the description of the acoustic field of bullfighting. Practical considerations are also made, such as typologies and axes, to be taken into account when referencing sources and receivers, as are the environmental conditions in a space strongly influenced by direct sunlight. As an illustration of the procedure, an experimental campaign in the bullring of Las Ventas in Madrid is carried out. The analysis shows that the proposed procedure is highly suitable for this type of building and provides detailed acoustic information regarding the seats for all the sound sources that participate in the spectacle. [ABSTRACT FROM AUTHOR]

Purpose: The main objective of this paper is to analyze the influence of multiple directorships, as a critical component of board social capital, on CSR reporting. This study also explores the moderating effect of certain board attributes on multiple directorships. Design/methodology/approach: The authors' sample is composed of Spanish listed firms in the Madrid Stock Exchange for the period 2011–2017. A dynamic panel data model based on the Generalized Method of Moments (GMMs) is employed. Findings: Relying on a resource dependence view, the authors' results highlight an ambiguously positive association between multiple directorships and the level of CSR reporting. In particular, this relationship is positively moderated by both board size and gender diversity. Research limitations/implications: These findings contribute to academic debates concerning the value of board members intellectual capital. In particular, the authors emphasize the importance of board social capital, as well as the need to consider the context in which directors make decisions. Practical implications: This evidence may prove helpful to firms when configuring the board of directors, and for regulators and professionals when refining their legislations and recommendations. Originality/value: To the best of the authors' knowledge, this is the first study that empirically analyzes the impact of an important element of board social capital, such as multiple directorships, on CSR reporting, which has become crucial in financial markets. [ABSTRACT FROM AUTHOR]

The historic water supply to large cities constitutes a constructed heritage characterised by comprising a range of public structures—dams, canals, tanks, siphons and aqueducts—over a large geographical area. Within this international context, this paper looks at the case of Canal de Isabel II (CYII) and its historic infrastructure, built in the second half of the 19th century and the early 20th century. The purpose of this study is to analyse how these water supply public works, which maintain their original use, have also taken on new functions through the conversion of some of their parts and added new values to the existing ones. In order to do this, an inventory was drawn up with the location and cultural value of each structure based on its historic, technological, landscape and symbolic features, as well as its use. The results establish the significance of the overall system, not only in functional terms but also as a cultural resource. It is essential to understand the historic water supply infrastructure as a whole, not just as individual components but rather as pieces of a network. This is also essential for the management and preservation of the system, both where the structures are still in use as part of the water supply and where they have been converted for other uses. [ABSTRACT FROM AUTHOR]

The suitability of Madrid as the capital of Spain is analyzed from different perspectives, questioning the belief that this choice was eminently personal or political but lacked economic rationality. The paper analyzes Madrid's advantages over other possible capitals from the point of view of both intrinsic characteristics and those that depend on the transport network, such as the problem of supplies or the impact on the development of the surrounding territory. To deal with these questions it is necessary to consider logistical aspects that require an adjusted view of the existing transport network at that time. Using little-known primary sources and a novel methodology based on Delaunay triangulation, the 16th century Spanish transport network is reconstructed with a much higher level of accuracy than ever before. With this information, two maps are prepared that could be used for logistical analysis from a complex network perspective. The first map evaluates the real effects of the choice using an adjusted representation of the territory whilst the second map aims at avoiding the common fallacy of judging decisions made in the past applying current geographical know-how. This map, constructed with the planimetry of the 16th century, indicates how the somewhat deficient knowledge of Philip II with respect to the geographical reality of the day may have favored the choice of Madrid over Toledo, converting some Mediterranean coastal cities into more attractive options. The choice of Madrid as capital appears to be very reasonable in view of the different criteria used. Regarding supply difficulties, our results depart from traditional inclinations by deliberating the fact that the absence of a port in Madrid does not pose an insuperable problem. The latter is the case given that the advantages of maritime transport are far fewer than those usually considered, with Madrid's geographical position offering significant advantages in terms of road transport. [ABSTRACT FROM AUTHOR]

The internal characteristics of dwellings and their level of accessibility to basic services have traditionally been the main variables in establishing their level of quality; however, in large cities, problems associated with traffic and environmental quality are becoming increasingly important because of their impact on people's quality of life. This paper aims to build a well-being index for dwellings in the central districts of Madrid that can help the urban managers to take decisions increasing citizens' well-being. For this purpose, we have developed an indicator using the P2-distance method on a database of variables related to environmental quality, and on the other hand, variables related to the characteristics of the dwelling. We find that, in general, the distance to services variables correlates negatively with the well-being index as we expected. On the other side, a positive and unexpected correlation is observed between the well-being index and the variables of pollution and noise, which indicates that these variables are usually higher in the points best located with respect to basic services, places that we could consider as service centers of the central almond. Therefore, the index allows urban planners to test complex solutions in presence of the trade-offs between elements that affect negatively the well-being such as noise or pollution, versus positive variables such as higher density of services availability. [ABSTRACT FROM AUTHOR]

The Olavide Museum in Madrid, which was founded in the 19th century, preserves one of the most important collections in the world of three-dimensional dermatological models made of polychrome beeswax. These models have been used for the training of numerous generations of dermatologists in Spain. Unfortunately, many of the figures were preserved in precarious conditions during the time that the museum was closed in the middle of the 20th century, and some could not be found after its reopening. In this paper, we show a method for the recovery of a missing model of which only the original plaster cast remains. For this purpose, we use the combination of a structured light scanner and 3D printing, together with traditional techniques, to reproduce a copy of the original cast, in order to prevent its deterioration during the wax casting. As a result of this study, a highly realistic figure was obtained, which represented, in great detail, the small superficial reliefs of the skin lesions, as well as their colour. The conclusion of this research is that it is possible to recreate, with precision, a didactic model in beeswax from its mould, without the need to use the mould in the process, which avoids any risk of deterioration in the process. [ABSTRACT FROM AUTHOR]

Following a copious and famous snowfall in Madrid city (Spain) and its surrounding area, the tree masses were analysed to assess the impact of this snowfall. In this way, this paper proposes an approach towards urban forest impact inventory mapping as a consequence of the snowfall of January 2021, and the subsequent atmospheric stability, which kept surface temperatures in Madrid close to −10 °C. The study has been carried out using snowfall data from 1920 to 2020 and images from the Sentinel, Landsat and MODIS satellites. The results obtained by means of image changes in the NDVI reveal a clear impact on the trees, with 11% of the winter vegetation cover of the municipality being affected. Especially significant has been the damage detected both in the forest areas in the city and in the parks, gardens or urban roads. [ABSTRACT FROM AUTHOR]

Bilingualism was implemented in the Community of Madrid (Spain) more than ten years ago, through the incorporation of the English language in the teaching methods of certain schools. Since that time, various research projects have been carried out, with the objective of comparing the academic performance of students in bilingual schools with those in non-bilingual schools. The present paper makes use of primary education data from the Department of Education and Research for the Community of Madrid in an effort to analyze whether or not bilingualism results in the relative improvement of educational outcomes achieved in primary schools in the Region of Madrid, in Spain. More specifically, the data used is from sixth grade classrooms, given that, generally speaking, in this grade all schools give a standardized test which measures academic performance in Math, Science and Technology, Spanish Language Arts and English Language Arts. Our assessment makes use of a multinomial logit model, and includes the most common variables found in the research on the determination of educational outcomes (variables related to whether or not schools are bilingual, which is the main focus of this paper), as well as other less common variables considered to be relevant. These include absenteeism, satisfaction levels among families and students, and the percentage of students in second chance programs. The results show that bilingualism does not lower children performance in the subjects taught in English or in the subjects taught in Spanish. Academic performance in Mathematics, Science and Technology, and Spanish Language Arts is similar with respect to those schools which are not bilingual. However, results in English are significantly higher in bilingual schools when compared to non-bilingual schools. [ABSTRACT FROM AUTHOR]

In recent decades we have seen an increased interest in the use of seemingly unrelated regressions models (SUR) in a spatial context, with compelling case studies in different fields. This upsurge has favoured the development of new and more efficient inference techniques. At present, the user has a basic toolkit to deal with this kind of model, that is, however, in need of improvement. This paper focuses on the question of estimating, quickly and accurately, spatial SUR models. The most popular procedure is maximum likelihood (ML) which guarantees precision at the cost of a high computational burden. This is especially true in cases of large sample size and strong spatial structure. We explore simpler estimation algorithms such as instrumental variables (IV), which expedites calculation at the cost of a certain loss in quality of the estimates. We focus on the importance of sample size and the trade-off between accuracy and speed. To that end, we perform a comprehensive simulation experiment in which we compare ML and IV algorithms, looking for their strengths and weaknesses. The paper includes two applications to the case of Airbnb in the urban area of Madrid. First, we estimate a spatial SUR hedonic model of accommodation prices, using micro-data for three different cross sections à la Anselin, that is, considering temporal correlation plus spatial structure. Then, the data are aggregated by neighbourhoods. We specify a spatial SUR model with two equations (apartments and rooms) also using three cross sections. In both cases, the models are estimated by ML and IV using the spsur R package (Angulo et al. in spSUR: spatial seemingly unrelated regression models. R Package version 1.0.0.3, 2019), with the aim of illustrating its capabilities. [ABSTRACT FROM AUTHOR]

Copyright of Rivista Italiana di Educazione Familiare is the property of Firenze University Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista Iberoamericana de Turismo is the property of Revista Iberoamericana de Turismo and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In this paper, we study differential infant and child mortality according to the origin of the mothers, natives of Madrid or immigrants, between 1916 and 1926. From 1880 to 1939, Madrid experienced spectacular demographic growth, with a massive influx of immigrants, mainly from the Castilian Plateau. Using the city's records of births and deaths, which we linked for the study period, we demonstrate an important spatial heterogeneity in infant and child mortality across the city. Although the development of the town was planned in the 1860s, the infrastructure and the real estate market were overwhelmed by the continuous arrival of new inhabitants. Moreover, major investments in public health increased the gap between the wealthy districts and peripheral areas. These improvements deepened inequality. During years marked by the waves of the influenza pandemic, we isolate the impact of poverty, which threatened the survival of newborns through poor nutrition, deficient hygienic infrastructures and deplorable housing conditions. Such features explain the impressive association between summer and the risk of dying from enteritis, diarrhea and other diseases of the same type among weaned children. However, the mortality differentials between the offspring of native and migrant mothers were surprisingly small, which we explained in terms of behavioral adaptation to the large city and its mass society. [ABSTRACT FROM AUTHOR]

Ride-hailing is an emerging service that is transforming door to door mobility in urban areas. Users can easily request a ride through a smartphone app that informs them of the pickup time, the location of the vehicle, and the fare that they will pay in advance. Even though it is well known that Uber implements a dynamic pricing approach depending mostly on supply, demand and competition with other services, there is still little empirical evidence on the main drivers explaining the fare strategy of the company. However, a deeper understanding of prices is essential to evaluate and establish a future scenario with smarter regulation and fairer competition between ridesourcing and taxi services. Using 10-month data from the Uber's application programming interface in the city of Madrid, this research studies the association of Uber fares with different explanatory variables. It also explores the main differences between Uber and taxi fares. The results indicate that trip distance, trip delay, day of the week, origin and destination of the trip, and rain precipitation have a statistically significant impact on Uber fares. The findings also show that on average, Uber fares are lower than taxi fares, with the exception of particular hours of the day, as well as Uber fares slightly increased during taxi strikes recently happened in Madrid. The paper concludes with some policy recommendations and insigths regarding the future of the hailing sector and the importance of prices in evaluating future changes and possibilities. [ABSTRACT FROM AUTHOR]

Mobility in metropolitan rings is often more car-dependent than in urban cores. Buses are emerging as an efficient option to promote sustainable mobility in metropolitan corridors, although they are perceived as being less reliable than rail or the car. The adoption of real-time information (RTI) tools for passengers can mitigate this issue. This paper aims (i) to explore the potential bus demand in metropolitan corridors, and (ii) to understand how bus passengers use RTI public transport mobile applications. Both aims are oriented to attract more passengers toward public transport. A two-step methodological framework has been established to perform this analysis in the Madrid Region. Data from the 2014 Household Mobility Survey reveal that metropolitan bus potential is three times the current bus ridership, and almost double in transport corridors linked to motorways than in transversal and other metropolitan trips. An ad-hoc survey of bus travelers was conducted in one corridor to capture the use of RTI mobile apps. The results show that multimodal commuters tend to consult several apps, since none of the main apps integrates all the multimodal RTI for their trips. Non-regular bus passengers are more likely to consult a general-purpose app such as Google Maps, while frequent bus commuters prefer to use the official public transport authority app. Improving the multimodal information passengers receive through transit apps could ease their trips and help materialize some of the potential bus demand in metropolitan areas. [ABSTRACT FROM AUTHOR]

The increasingly widespread use of vehicles has intensified fuel consumption and hence the emission of air pollutants, causing a negative environmental impact on both human health and climate change. It is well known that vehicle fuel consumption depends on several factors such as engine and vehicle technology, road characteristics, traffic conditions, and driver ability. Although the relationship between these variables has been subject of several researches, the combined influence of traffic flow with road type on vehicle fuel consumption has not yet been studied in depth. This paper aims to fill this gap by processing a large dataset of real-world driving data from an experiment carried out in Madrid, Spain; and to develop and validate a new approach using cluster analysis to define real traffic conditions. The results indicate that poor traffic conditions can significantly reduce vehicle's energy efficiency and influence driving behavior, rather drastically depending on the road typology. While on high-capacity roads the speed covariance increases up to 73% in congestion, on low-capacity roads it increases by 31%, since road geometry also covers an important role; indeed, due to their complex and segmented geometry, local streets show 37% less vehicle's energy efficiency compared with highways. The outcomes of this study suggest that energy efficiency depends on avoiding congestion on high-capacity roads, selecting green itineraries using the right road sections and having a more homogeneous driving behavior on low-capacity roads, through eco-driving whenever possible. [ABSTRACT FROM AUTHOR]

The fatigue design of bus structures is directly dependent on the loads that the vehicle will support throughout its lifespan. The determination of such operational loads, obtained in form of accelerations through vehicle sensing, is usually done with proprietary and expensive acquisition systems. In this paper, a low-cost acquisition system is presented and studied, which is designed, calibrated, and oriented for this purpose, based on an Arduino UNO and a low-cost accelerometer. The acquisitions are adapted to obtain the operational loads of several urban bus lines in the city of Madrid. The obtained data is later processed in order to characterize the acceleration cycles in these structures, which can be used as an input for the appropriate structural design. As a result, it is proved that the low-cost acquisition system is adequate and provides a simple and cheap way to characterize the acceleration of these vehicles during ordinary service. [ABSTRACT FROM AUTHOR]

In civil aviation flight path planning, in order to effectively reduce the safety threat caused by the volcanic ash area to the civil aviation flight, factors such as the speed and acceleration of the aircraft in the volcanic ash area must be considered. In this paper, we propose an improved A-star algorithm by adopting the concept of potential collision set and using the velocity vector idea of optimal reciprocal collision avoidance (ORCA). The improved A-star algorithm selects the optimal speed range of the aircraft from the limited elements, obtains the speed and acceleration set of the aircraft in the volcanic ash area, calculates the flight path through the displacement increment, continuously refreshes the global starting point to the target point, and finally obtains the final path planning results by calculating the total cost value. The improved A-star algorithm is used to plan two flight paths from Madrid to Cairo and Algiers to Rome in volcanic ash areas. The verification results show that the improved A-star algorithm optimizes the flight path planning in the volcanic ash area and has the advantages of less search nodes, a small search range, and short computing time. [ABSTRACT FROM AUTHOR]

Background: Chagas disease (CD) has become an emerging global health problem in association with the immigration of individuals from endemic areas (in LatinAmerica) to other countries.Spain is the country in Europe with the highest number of CD cases. Concerning pediatric CD, treatment is not only better tolerated by younger children but also has greater cure possibilities. The aim of this study was to describe clinical and epidemiological aspects of CD in a pediatric population diagnosed of 10 hospitals in the Community of Madrid during the 2004–2018 period, as well as the safety and efficacy of CD treatment on this population. Methodology/Principal findings: A multicenter, retrospective, descriptive study was conducted. The studied population included all identified children under the age of 18 with a diagnosis of CD. Diagnosis was performed with a positive parasitological test (with subsequent confirmation) or confirmed persistence of positive serology beyond 9 months, for children younger than one year-old, and with two different positive serological tests, for children older than one. Fifty-one children were included (59% male; 50.9% born in Spain). All mothers were from Latin America. The median age at diagnosis was 0.7 months for those under one year of age, and 11.08 years for those older than one year-old. Only one case presented a symptomatic course (hydrops faetalis, haemodynamic instability at birth, ascites, anaemia). For 94% treatment was completed. Considering patients who received benznidazole (47), AE were recorded in 48,9%. Among the 32 patients older than one year-old treated with benznidazole, 18 (56.25%) had adverse events whereas in the 15 under one year, 5(33,3%) did. Eigtheen (78.2%) of the patients with benznidazole AE were older than one year-old(median age 11.4 years). Of the patients treated with nifurtimox (9), AE were reported in 3 cases (33,3%). Cure was confirmed in 80% of the children under one year-old vs 4.3% in those older (p<0.001). Loss to follow- up occurred in 35.3% of patients. Conclusions/Significances: Screening programs of CD since birth allow early diagnosis and treatment, with a significantly higher cure rate in children treated before one year of age, with lower incidence of adverse events. The high proportion of patients lost to follow-up in this vulnerable population is of concern. Author summary: Chagas disease, caused by the protozoan Trypanosoma cruzi, has traditionally been confined to endemic locations in South America (with vectorial transmission), but is nowadays emerging in Europe, mainly in Spain, due to immigration. A series of characteristics of this disease condition its management. It is usually asymptomatic (especially in early stages), it can be transmitted from mothers to child (vertical transmission) and treatment is more effective at a younger age or during the early stages of infection. For these reasons early diagnosis and treatment of infected children is a priority. To date, there are few publications on pediatric CD series in non-endemic regions. In this paper we describe the epidemiological and clinical characteristics of 51 children diagnosed with pediatric CD in a non-endemic area, as well as the the safety and efficacy of treatment in this patient population. We found that most patients were asymptomatic at diagnosis. The cure percentage was clearly higher when they were treated before one year-old (80% vs 4.3% in children older than one).Adverse events to treatment have occurred especially in older children, being frequent in this age group (median age 11 years). The high proportion of patients lost to follow-up that occurs in this vulnerable population is also noteworthy (35.3% in our case). We highlight, as a conclusion of our study, the need of carrying out systematic screening for this disease (women of childbearing age, children of mothers with positive serology) to reduce the rate of vertical transmission and to achieve higher cure rates and better tolerance to treatment. [ABSTRACT FROM AUTHOR]

Copyright of Revista Española de Quimioterapia is the property of Sociedad Espanola de Quimioterapia and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to attract car users towards the public transport services in an urban and metropolitan context, contributing to a sustainable mobility in cities, it is fundamental to improve our knowledge of service quality perceptions, satisfaction and behavioral intentions toward transit from the point of view of private transport users. This paper is based on the data from a single survey—carried out in two European cities (Madrid and Lisbon)—of regular private vehicle users that use public transport at least occasionally. The questionnaire gathers information about 14 attributes of service quality, four indicators for satisfaction and four indicators for behavioral intentions; as well as several sociodemographic variables that are used in the models (household location, gender, age, education, dependent members in the family and income). The study uses confirmatory factor analysis to identify the most important service quality attributes for the car users; structural equation modeling for investigating the relationships among the three factors; and multi-group analysis (MGA) and a multiple-indicator and multiple-causes (MIMIC) approach to identify heterogeneity in the models because of geographical context or sociodemographic characteristics. Regular private vehicle users in both cities agree that punctuality, frequency, information and intermodality are among the five most important service quality attributes. Residents in Madrid also emphasize speed, while service hours would be a priority in Lisbon. The models for both cities agree on a complete mediator role of satisfaction between service quality and behavioral intentions. The MGA and MIMIC approaches show that the models do not present important differences tied to the sociodemographic characteristics, although differences are identified between Madrid and Lisbon. The MIMIC approach identified differences associated with city, household location and education for the pooled data; while household location, age and education were significant in Lisbon. [ABSTRACT FROM AUTHOR]

The problem of location is the cornerstone of strategic decisions in retail management. This decision is usually complex and multidimensional. One of the most relevant success factors is an adequate balanced tenancy, i.e., a complementary ecosystem of retail stores in the surroundings, both in planned and unplanned areas. In this paper, we use network theory to analyze the commercial spatial interactions in all the cities of Castile and Leon (an autonomous community in north-western Spain), Madrid, and Barcelona. Our approach encompasses different proposals both for the definition of the interaction networks and for their subsequent analyses. These methodologies can be used as pre-processing tools to capture features that formalize the relational dimension for location recommendation systems. Our results unveil the retail structure of different urban areas and enable a meaningful comparison between cities and methodologies. In addition, by means of consensus techniques, we identify a robust core of commercial relationships, independent of the particularities of each city, and thus help to distinguish transferable knowledge between cities. The results also suggest greater specialization of commercial space with city size. [ABSTRACT FROM AUTHOR]

In this paper the performance of different Machine Learning and Deep Learning approaches is evaluated in problems related to green mobility in big cities. Specifically, the forecasting of bike sharing demand in Madrid and Barcelona (Spain) is approached, for different prediction time-horizons, and also a problem of cable car demand forecasting in Madrid city. An important number of predictive variables are considered, which are grouped into four different sets (categorical/calendrical, persistence-based, meteorological and, as a novelty of the paper, information about analogue past instances), whose relevance is studied for all cases. A feature selection mechanism is also incorporated in order to improve the prediction accuracy of the proposed algorithms. A total of 12 different multivariate regression techniques are implemented, covering from Machine Learning methods to time-series Deep Learning approaches. Excellent results in all the prediction problems approached are reported. Finally, the consequences of obtaining accurate prediction in these three problem of green mobility in big cities are discussed. In addition, it is studied how the results could be exported to other similar cases in more general urban mobility studies. Novelties of the work include: (1) Addressing the forecast problem of passenger flow on a cable car using ML and DL multivariate techniques; (2) using the demand of analogous past instances as an additional feature to solve the demand prediction problems; and (3) the extraction of global conclusions about feature relevance when addressing a demand forecasting problem in green mobility. [ABSTRACT FROM AUTHOR]

Building on earlier work on entrepreneurship and holistic innovation policy, the paper elaborates on the concept of "entrepreneurial innovation ecosystem" and applies it in the empirical analysis of the European Institute of Innovation and Technology (EIT) partnership operations. The analysis focuses on the EIT Digital, which is one of the EIT "Knowledge and Innovation Communities" (KICs) formed by partners from higher education, research and business. The empirical research with primary data from semi-structured interviews and secondary data from desk research provides evidence on the different perceptions between EIT Digital managers in six accelerators around Europe compared to partners and start-ups in the Madrid co-location centre. Ecosystem dimensions are intertwined in EIT Digital activities and the actual performance of the whole depends on their effective alignment. Hence, further research is suggested on the interconnections between the ecosystem dimensions with particular attention to ecosystem integration, international networking and adaptive governance. [ABSTRACT FROM AUTHOR]

Higher education in Spain, especially in Madrid, was suddenly and unexpectedly shut down on March 9th 2020 because of the beginning of the COVID-19 first wave emergency. In engineering education, where practical laboratories are a relevant part of the educational process, professors followed different approaches (sometimes concurrently), designed after only three or five days of discussions. Although, globally, the obtained results are acceptable considering the situation, after informally analyzing the data and observing the post-lockdown students' profile, some collectives seem to have suffered a higher impact than other. Three research questions are analyzed. The objective of this work is to analyze if the performance of women in engineering courses, specifically in computer engineering, is different from male students. The study case is carried out at Universidad Politécnica de Madrid, particularly, in the computer engineering degree. Furthermore, if a statistically relevant difference is discovered (based on Mann-Whitney U test), the final causes of this worrying situation will be studied. Official academic results and other similar indicators were analyzed. Besides, more than one hundred surveys among students were developed. Percentage of women (participants) is above 30%. Results clearly show a deterioration in all indicators for all collectives and students, comparing the performance during the lockdown and the performance of previous years. However, this impact is not homogenous, and results also show a gender gap placing women in engineering education during the lockdown (an after) in a disadvantaged situation. [ABSTRACT FROM AUTHOR]

Nowadays, the computer skills acquisition by Chemical Engineering (ChE) students is based on practical uses of specialized software packages in different applications. Process optimization courses use high‐level algebraic programming languages, such as GAMS (General Algebraic Modeling System) or AMPL (A Mathematical Programming Language), which are usually reserved for advanced programs in ChE degrees or ChE M.Eng. Commercial software for process optimization has several benefits, such as the possibility of facing complex numerical problems in a more efficient and straightforward way. By contrast, they typically present expensive license fees, and students usually require intense training to get the proper user‐level skills. The use of simpler and economic software tools may help overcoming these limitations. In this context, Microsoft (MS) Excel Solver tool is a widespread software with the potential to be used worldwide by any ChE student, and with the power to solve complex optimization problems at the academic level. In this paper, we introduce the application of MS Excel Solver for the optimization of a distillation sequence for the separation of a ternary mixture, including the heat integration in the definition of the problem. This is an MINLP problem, which usually requires specialized software performing stochastic methods, such as Simulated Annealing, to achieve a solution. In this regard, the approach to solve an optimization problem using the MS Excel Solver tool shown in this study was successfully employed by a student of ChE M.Eng. at Rey Juan Carlos University and the Autónoma University of Madrid in the development of her master thesis. [ABSTRACT FROM AUTHOR]

This paper describes the principles, analysis and capacities of the axial-deck method developed in research on the optimization of the curved bridges directrices takin place at the UPM university in Madrid. The axial-deck method focuses on the two main structural challenges of curved cable-stayed bridges: the horizontal component of the load introduced by the stay cables on the deck; and the big torsion forces in the deck due to the unbalanced cable-stayed system. Hitherto, these problems have been addressed, either by optimizing the position of the tower and its geometric characteristics, or by modifying the morphology of the stay-cable system. Very little has been written about the possibilities of linking the structural behaviour to the deck directrix. This paper starts by describing the ideal solution equations, without considering the structure as statically indeterminate. Then, based on these equations, it follows the evolution of the method to a nonlinear iterative system. This evolution allows designs to be developed that consider the flexibility relation of all the structural systems involved in the problems. Finally, the method is validated with the redesign of two existing curved pedestrian bridges from prestigious engineering firms and the paper concludes with a structural behaviour analysis of all designs. [ABSTRACT FROM AUTHOR]

This paper evaluates economic impacts arising from the introduction of high-speed rail (HSR) between Madrid and Barcelona. Using difference-in-differences estimation we estimate an average treatment effect for provinces with stops on the HSR line of 2.4% for economic output, 3.3% for numbers of firms, and 1.1% for labour productivity. We complement our DID results with a synthetic control analysis for Lleida and Tarragona, two provinces that we argue were assigned HSR stations largely due to their incidental location. We find that both the number of firms and labour productivity are substantially higher in these provinces than in their synthetic counterparts. [ABSTRACT FROM AUTHOR]

Geography has previously been noted as a decisive factor in business literature. This paper provides evidence of the significant role geography plays in customer lapse behaviour in an urban environment. This novel approach is based on the idea that the customers who cancel all policies and leave the company are not randomly distributed; rather, a mimetic performance of close individuals is noted. The physical proximity of the customer to the geographical focus (strategical centre, as insurance offices) and the interaction with nearby customer are spatial factors that increase (or decrease) the probability of churning. An empirical analysis using more than 7000 spatially georeferenced offline customers of a Spanish insurance company in the urban area of Madrid (Spain) demonstrated that the customer's proximity to offices of such insurance company under study decreases the probability of churning, whereas high lapse risk was detected in customers in the surroundings of the company's competitor branches. In addition, we identified spatial autocorrelation in churn probability, thus demonstrating that the probability of churn of a customer increases if nearby customers churn. [ABSTRACT FROM AUTHOR]

This paper describes the peripheral development that has occurred in Madrid over the last 16 years (2000-2016), a period split by the economic crash that occurred in 2008. The paper argues that the relationship between economic development and infrastructure corridors witnessed in this peripheral development is intrinsically connected to the nineteenth and twentieth-century plans for urban growth. While these corridors have some similarities to the Strip model for an automobile city discussed by Robert Venturi and Denise Scott-Brown in their seminal book Learning from Las Vegas, the Madrid peripheries enjoy a long genealogy that complicates any easy link to the Strip, particularly around issues of economic speculation, typology and image-making or imagining, which will be introduced using the work of Michael Neuman and others. The research design adopted examines the treatment of the periphery in a number of historical plans, particularly their attitudes towards infrastructure and economic development, in order to establish connections between those historical plans and the city's planned and (partially) realized peripheral development today. [ABSTRACT FROM AUTHOR]

Vehicle-sharing systems—such as bike-, car-, or motorcycle-sharing systems—have become increasingly popular in big cities in recent years. On the one hand, they provide a cheaper and environmentally friendlier means of transportation than private cars, and on the other hand, they satisfy the individual mobility demands of citizens better than traditional public transport systems. One of their advantages in this regard is their availability, e.g., the possibility of taking (or leaving) a vehicle almost anywhere in a city. This availability obviously depends on different strategic and operational management decisions and policies, such as the dimension of the fleet or the (re)distribution of vehicles. Agglutination problems—where, due to usage patterns, available vehicles are concentrated in certain areas, whereas no vehicles are available in others—are quite common in such systems, and need to be dealt with. Research has been dedicated to this problem, specifying different techniques to reduce imbalanced situations. In this paper, we present and compare strategies for recommending stations to users who wish to rent or return bikes in station-based bike-sharing systems. Our first contribution is a novel recommendation strategy based on queuing theory that recommends stations based on their utility to the user in terms of lower distance and higher probability of finding a bike or slot. Then, we go one step further, defining a strategy that recommends stations by combining the utility of a particular user with the utility of the global system, measured in terms of the improvement in the distribution of bikes and slots with respect to the expected future demand, with the aim of implicitly avoiding or alleviating balancing problems. We present several experiments to evaluate our proposal with real data from the bike sharing system BiciMAD in Madrid. [ABSTRACT FROM AUTHOR]

Is there a place in particular that international migrants would call home? How do they talk about it, where does it lie, and what characteristics is it expected to have, given their demographics and patterns of settlement? Similar questions are meaningful in themselves and in illuminating migrant biographical, family and housing trajectories. We address them, in this paper, through the categorization and multinomial analysis of the responses to a dedicated open-ended question in a survey on Ecuadorians in Madrid, Milan and London (n = 1175). This original dataset allows us to explore migrant views of home against the background of their demographics and of their migration and housing conditions. We analyse respondents' ways to articulate, spatialize and prioritize key aspects of home through a logit model, thereby assessing their association with age, length of stay, housing tenure, family networks and city of residence. Overall, their predominant construction of home points to a place in the country of settlement, but not necessarily to their own dwelling. Younger and newcomer immigrants see home as a primarily relational construct, whereas older and long-stayers emphasize its place-based and private dimension. Significant variations in the expected emplacement and bases of home can be found across cities of residence. However, no significant variations are associated either with gender or with migrants' transnational engagement. [ABSTRACT FROM AUTHOR]

These days pilgrimage is seen as something that has more than a religious dimension. In fact, pilgrimage also currently links with cultural, environmental and tourist domains. As a consequence, the positive socioeconomic effects from the pilgrimage are relevant for the local communities which are visited along the routes travelled by pilgrims. In this way, the aim of this paper is to firstly analyse the context of the Way of St. James' pilgrimage, in general, and subsequently the socioeconomic dimensions of the pilgrimage within the specific Portuguese framework. Data from the 'Oficina del Peregrino', Eurostat and Statistics Portugal were all taken into account, for the period 2004-2019, and were worked through statistical and econometric approaches, namely correlation matrices and time series regression methodologies. The results show that the St. James' Way pilgrims are mostly male, travel on foot, have both religious and other motivations, are between 30 and 60 years of age, come from Spain and a great deal of them start from Sarria. Travelling via the French Way, a large number are from Madrid and Andalusia and are students, employees, self employed, retired, technicians and teachers. Finally, it was estimated that each pilgrim had, over the period 2004-2018, a positive impact of 717.680 euros on the real gross valued added in the Northern Portuguese region. [ABSTRACT FROM AUTHOR]

Featured Application: To determine the optimal locations of fire stations considering the risk of system collapse. Recent increases in incidents make it unlikely for emergency systems to be able to meet incident requirements. In this paper, we formulate a new territorial measurement approach for the reliability of fire departments, the collapse index, to help decision makers determine their response capability. This new index expresses the maximum simultaneous workload in a pixel over one year, measured over time. Based on this index, we propose a new fire station (FS) optimum location model by applying the simulated annealing method in conjunction with a geographic information system. The formulation of the cost function as the minimum standard deviation of the FS workload, combined with the constraint that the maximum collapse index in any pixel must be less than a certain threshold, are two contributions of this work. Five optimisation processes are developed to locate between up to five FS and create collapse index maps in the Madrid Region. The maximum collapse index in a pixel with a new FS decreases from its initial value of 10,485 min to 2500 min when five new FS are built. The conclusion is that the proposed optimisation model meets the need for reliability in the emergency services and that the collapse index is a good measure to prevent overlapping in the system. [ABSTRACT FROM AUTHOR]

This research is aimed to analyze textual descriptions of harassment situations collected anonymously by the Hollaback! project. Hollaback! is an international movement created to end harassment in all of its forms. Its goal is to collect stories of harassment through the web and a free app all around the world to elevate victims' individual voices to find a societal solution. Hollaback! pretends to analyze the impact of a bystander during a harassment in order to launch a public awareness-raising campaign to equip everyday people with tools to undo harassment. Thus, the analysis presented in this paper is a first step in Hollaback!'s purpose: the automatic detection of a witness intervention inferred from the victim's own report. In a first step, natural language processing techniques were used to analyze the victim's free-text descriptions. For this part, we used the whole dataset with all its countries and locations. In addition, classification models, based on machine learning and soft computing techniques, were developed in the second part of this study to classify the descriptions into those that have bystander presence and those that do not. For this machine learning part, we selected the city of Madrid as an example, in order to establish a criterion of the witness behavior procedure. [ABSTRACT FROM AUTHOR]

This paper is an invitation to critically interrogate the 'post-racial' understanding of intersectionality in European policy work on Intimate Partner Violence (IPV), through a focus on Antigypsyism in Spain's specialised institutions. Spain's 'gender violence' law has inspired international admiration for introducing measures aimed at the protection of all women regardless of their status or situation. However, its criminal justice system is marked by centuries of legislation constructing Romani women as innately suspicious. Semi-structured interviews conducted in IPV specialised courts, local police, and support services in Madrid indicate that practitioners reject legal colour-blindness and support intercultural mediation but refuse to address this racist legacy. Their intervention exposes Romani plaintiffs to harm by (1) promoting their cultural assimilation, (2) questioning their victim status, and (3) turning against their community support networks. [ABSTRACT FROM AUTHOR]

The purpose of this paper is to discover the extent to which women living homeless in Madrid (Spain) have been victims of intimate partner sexual violence (IPSV), analysing the connection between stressful life events (SLE) relating to violent victimisation and having suffered sexual assault by a partner. This study took place using a sample of women living homeless in Madrid (n = 136). The results obtained show that a high percentage of the women living homeless who were questioned had been victims of IPSV. The women interviewed, who had been victims of IPSV, had suffered, to a greater extent, SLEs relating to situations of violent victimisation, both during childhood and adolescence as well as in adulthood. The episodes of violent victimisation that seem to be the most common forerunners to IPSV are incidents of sexual abuse in childhood and adolescence. [ABSTRACT FROM AUTHOR]

Traffic accidents forecasting represents a major priority for traffic governmental organisms around the world to ensure a decrease in life, property, and economic losses. The increasing amounts of traffic accident data have been used to train machine learning predictors, although this is a challenging task due to the relative rareness of accidents, inter-dependencies of traffic accidents both in time and space, and high dependency on human behavior. Recently, deep learning techniques have shown significant prediction improvements over traditional models, but some difficulties and open questions remain around their applicability, accuracy, and ability to provide practical information. This paper proposes a new spatio-temporal deep learning framework based on a latent model for simultaneously predicting the number of traffic accidents in each neighborhood in Madrid, Spain, over varying training and prediction time horizons. [ABSTRACT FROM AUTHOR]

This paper examines the effect of the COVID-19 induced lockdown upon six pollutants, CO, NO, NO2, PM10, PM2.5, and O3, in the Spanish community of Madrid. The paper relies on clustering methods and multiple regression techniques to control for a battery of potential confounding factors. The results show that the nationwide lockdown, decreed on 13 March by the Spanish government, exerted a statistically significant effect upon most pollution indicators. The estimates range from approximately −82% (NO and NO2) to −3% (CO). Reversely, the COVID-19 induced lockdown raised O3 levels by an average of 20%. By using data from 43 stations spread out among the region, the paper provides a local level analysis. This analysis reveals substantial differences across areas and across pollutants. This observation indicates that any successful approach to improve air quality in the region must be multidimensional. [ABSTRACT FROM AUTHOR]

Between 1837 and 1882, the Spanish colonial government in the Philippines deported "undesirable" Chinese—vagrants, drunkards, unemployed, idlers, pickpockets, undocumented, and the "suspicious"—to various parts of the archipelago. Deportation, in this context, refers to the transportation or banishment of individuals deemed "dangerous" by the state to different far-flung areas of the islands or outside the colony but still within the Spanish empire. Deportation primarily served as a form of punishment and a means to rehabilitate and improve the wayward lives of "criminals." This paper examines the deportation of "undesirable" Chinese in the nineteenth-century Philippines. Using underutilized primary materials from various archives in Manila and Madrid, it interrogates the actors, institutions and processes involved in banishing such individuals. It argues that while deportation served its punitive and reformative functions, Spanish authorities also used it to advance their colonial project in the islands. Chinese deportees formed part of the labor supply the state used to populate the colony's frontier areas and strengthen its control over its newly-acquired territories. [ABSTRACT FROM AUTHOR]

Background: While many studies analyze the effect of extreme thermal events on health, little has been written about the effects of extreme cold on mortality. This scarcity of papers is particularly relevant when we search studies about extreme cold on the health of rural population. Therefore, we tried to analyze the effect of cold waves on urban areas and rural areas from Madrid and to test whether differentiated effects exist between both population classes. For this purpose, we analyzed data from the municipalities with over 10,000 inhabitants for the period from January 1, 2000 through December 31, 2013. Municipalities were classified as urban or rural (Eurostat), and they were grouped into similar climatological zones: Urban Metropolitan Centre (UMC), Rural Northern Mountains (RNM), Rural Centre (RC) and Southern Rural (SR). The dependent variable was the daily mortality rate due to natural causes per million inhabitants (CIE-X: A00-R99) that occurred between the months of November and March for the period. The independent variable was minimum daily temperature (ºC) (Tmin). Social and demographic contextual variables were used, including: population > age 64 (%), deprivation index and housing indicators. The analysis was carried out in three phases: (1) determination of the threshold temperature (Tthreshold) which defines the cold waves; (2) determination of the relative risk (RR) for cold waves using Poisson linear regression (GLM); and (3) using GLM of the binomial family, Odds Ratios (OR) were calculated to analyze the relationship between the frequency of the appearance of cold waves and the socioeconomic variables. Results: The UMC zone experienced 585 extreme cold events related to attributable increases in the mortality rate. The average number of cold waves in the rural zones was 319. The primary risk factor was the percentage of population over age 64, and the primary protective factor was housing rehabilitation. As a whole, the period experienced more cold waves (1542) than heat waves (1130). Conclusion: The UMC was more vulnerable than the rural areas. Furthermore, the results support the development of prevention policies, especially considering the fact that cold wave events were more frequent than heat waves. [ABSTRACT FROM AUTHOR]

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This paper contributes to the literature on entrepreneurship and economic geography by identifying factors that determine the attractiveness of a site in a metropolitan area, as the basis for the emergence of high-tech firms' spatial concentration. The econometric model provides distinct advantages over the largely descriptive approaches that have been dominant in the point pattern analysis literature for clusters. We focus on the role of two types of knowledge spillovers on a firm's location choices: (1) those that arise from collocating with other companies from the same industry, and (2) universities' knowledge spillovers. A model is estimated using data on firm births in high and medium–high-technology manufacturing industries, during 2000–2016 in Madrid. Our results show that the main source through which firms benefit from knowledge spillovers is through proximity to firms in the same industry and not from universities. [ABSTRACT FROM AUTHOR]

During a homicide investigation in which fire has been used to reduce the size of the cadaver and conceal the evidence of injuries, the identification of perimortem trauma presents a challenge, in particular in cases when the perpetrator has dismembered the body followed by burning the remains. It is therefore important to understand the effects which heat causes on fresh bone. The aim of this paper is to perform a pilot study on the survival ratio of toolmarks in different anatomical regions associated with dismemberment, and a descriptive analysis of the variables that may potentially influence the post-burning survival and detection. To achieve this, three donated embalmed cadavers were used to simulate a case in which an attempted dismemberment and burning had occurred. Fifty-five pre-burning injuries were manually induced: 30 using a machete to inflict chopping trauma, and 25 with a serrated bread knife to inflict sharp force trauma, on the thigh, knee, ankle and wrist. The cadavers were cremated in a furnace at Madrid's Cementerio Sur and the burnt remains were analysed at the Laboratorio de Antropología y Odontología Forense of the Universidad Complutense de Madrid. Not all pre-burning injuries inflicted were visible after the cremation process; only 13% were detected in this experiment. Toolmarks can be masked, modified, destroyed or overlooked from the outset of the procedure due to several factors which influence the post-burning survival and detection of toolmarks and contribute to conceal the evidence of trauma. Additional research should be done to study further variables which affect the post-burning visibility of sharp force trauma. [ABSTRACT FROM AUTHOR]

The aim of this paper is to explore the political messages painted on Madrid's walls by urban artists from the beginning of this artistic and political movement (the end of the 1990s) to the present day. We developed an extensive field-work that has helped us to create the first compilation of the key political messages of urban art in Madrid, based on an exploratory research approach complemented by the use of social media search. This descriptive and documentary approach was followed while keeping in mind that a wall is a public channel open to all and an outstanding method for expressing any political opinion with the greatest amount of visibility. Over the time span analyzed, the investigation discovered 15 urban artists with political content in their artistic production. The findings indicate that the political theme of these artists' works focuses primarily on condemning the Spanish government for current issues such as corruption or the economic crisis, as well as past events such as the Iraq War. Other recurring themes include social criticism of municipal policies and the living conditions of underprivileged groups such as refugees and beggars, as well as support for feminism and critiques of the rapid gentrification process of certain historic Madrid neighborhoods, such as Malasaña and Lavapiés. [ABSTRACT FROM AUTHOR]

After various global crises began to recover, the challenge posed by the coronavirus, the unseen enemy, diverted attention from other issues considered less urgent. The paper will focus primarily on the description of the article by Giorgio Agamben, who is one of the greatest philosophers alive today. The article deals with the way in which science and medicine have become the "religion" of our times, especially in the context of current challenges, such as the pandemic. In the modern West, three major belief systems have coexisted and, to some extent, still coexist Christianity, capitalism, and science. In the history of modernity, these three "religions" have often intersected, coming into conflict from time to time, only to reconcile in various ways, until they have gradually reached a kind of peaceful and articulate coexistence, if not to true and adequate collaboration in the name of common interest. According to Cătălin Raiu, Europe has not only a venerable Christian tradition but also political structures born of or in relation to Christianity. Secondly, the paper is analyzing the right to health, but also to religious freedom, observing the border between the two. Later the paper is observing in the case studies how some countries approached religion during the pandemic. There have been many cases of churches suing the state that closed them, recently in Madrid and California. This topic is a topical one, currently feeling the effects of restrictions on the religious phenomenon in a negative sense. Regarding the methodology, the article starts with the presentation of the context in order to create an overview of the phenomenon (the sources being both general and special, to highlight elements from several areas), but is does not neglect elements of originality resulting from the analysis of the legislation (official sources providing objective points of view through document analysis) and its implementation, but also from case studies (both by examples of good practice and by negative examples). [ABSTRACT FROM AUTHOR]

Assessing energy use in healthcare buildings requires identifying consumption profiles regularly. Keeping this in mind, this paper studies the energy intensity of a hospital and sets specific energy performance indicators by healthcare area. The authors analysed a hospital located in the province of Madrid (Spain), equipped with 182 beds and an area of usage of 25,177 m2. The heating, ventilation and air-conditioning system (HVAC) and steam production equipment (63.0%) and medical equipment (18.8%)—which includes electromedicine (11.6%), radiology (4.2%), radiotherapy (0.7%) and nuclear medicine (2.4%)—accounted for 81.8% of the energy consumed. Throughout the analysis, the authors found that operating theatres and intensive care units demanded more than 1000 kWh/m2 per year, while catering and nuclear medicine required between 500 and 1000 kWh/m2 per year and radiology between 350 and 500 kWh/m2, and most of the other units did not exceed 250 kWh/m2. The wide variability of these results shows that each area's energy consumption should be studied separately for an appropriate energy management. These indicators are useful for benchmarking between hospitals, thus prioritising energetically efficient investments. [ABSTRACT FROM AUTHOR]

In the present paper, we describe the craniodental remains of three individuals of an amphicyonid previously determined as Thaumastocyon sp. from the late Miocene (c. 9.1 Ma) pseudokarstic site of Batallones-3. Dentognathic differences in relation to other Thaumastocyoninae enable a new taxon, Ammitocyon kainos gen. et sp. nov., to be defined; it is both the most recent and the most complete member of this subfamily known in the fossil record. The results of our phylogenetic analysis demonstrate that this new form reached the maximum degree of specialization within Thaumastocyoninae, a group that includes the most hypercarnivorous amphicyonid species of the Miocene. The masticatory apparatus of A. kainos is extremely derived, with the loss of the mesial premolars (P3 / P2 and p1–p3) and the third molars (M3 / m3). The robustness of the chin and muzzle is in contrast with the slender and highly sectorial postcanine dentition (p4 / m2 and P4 / M2), features that are consistent with the values provided by an analysis of the bending resistance of the mandible performed for these specimens. All the anatomical features combined, both cranial and postcranial, reveal the complexity of the body plan of A. kainos. This species combines a derived hypercarnivorous dentition with one of the most robust postcranial skeletons recorded for all large caniform carnivorans, outlining an enigmatic taxon that possesses unique ecological adaptations. [ABSTRACT FROM AUTHOR]

This paper looks at the divergent economic trajectories of Barcelona and Madrid since Spain's transition to democracy. It highlights how Barcelona, the city that was better positioned four decades ago to emerge as the main Spanish economic hub, has lost out to Madrid. We argue that the contrasting trajectories of the two cities have less to do with the pull of Madrid as the capital of Spain, with the development of new infrastructure in the country, or with agglomeration economies, and more with institutional factors. A growing societal divide in Barcelona along economic, social, and identity lines has led to a greater breakdown of trust and to the development of strong groups with limited capacity to bridge with one another than in Madrid. This has entailed the emergence of negative externalities that have limited the economic potential for growth in Barcelona and facilitated the rise of Madrid as the main economic hub within Spain. [ABSTRACT FROM AUTHOR]