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What a huge relief and what great joy for all of us to be able to meet again in person after the two and a half years that had elapsed since the XXIst International Federation of Psychoanalytic Societies (IFPS) Forum held in Lisbon on February 5-8, 2020, with the beginning of the pandemic lockdown only about one month later! I enjoyed the very high quality of Juan Rodado's clinical work, the epistemological sophistication of Professor Rodríguez Sutil (see also Rodríguez Sutil, [12]), and the good articulation of clinical and epistemological aspects in the paper by Romulo Aguillaume. The Forum was also meant to celebrate the 60th anniversary of the foundation of IFPS (in Amsterdam on July 30, 1962), one of the topics of the historical panel that took place on the Friday morning. This featured two parallel panels, one central panel, and two final parallel panels. [Extracted from the article]

This paper examines the impact of the arrival of Airbnb on local consumption amenities in Madrid. We exploit the exogenous variation created by the timing and uneven distribution of Airbnb listings in the city to determine the impact on food and beverage establishments. Using an instrumental variable strategy, we find positive local effects on both the number of restaurants and their employees: an increase of 14 Airbnb rooms in a given census tract leads to almost one more restaurant, and the same increase in a given neighborhood generates 11 new tourist‐related employees. The results are robust to the specification and sample composition. This paper contributes to the literature on the economic impact of the platform economy on urban areas by providing evidence of market expansion externalities from short‐term rentals. [ABSTRACT FROM AUTHOR]

Simple Summary: In this paper, we present the zooarchaeological and taphonomic study of a new Bronze Age site in the inland of the Iberian Peninsula. This study represents a significant contribution within the studied area, as it analyses the Pista de Motos faunal collection, one of the few representative samples from this period. This paper significantly contributes to completing the scarce information available for the Bronze Archaeology in the Middle Tagus Valley, located inland of the Iberian Peninsula. The Bronze Age zooarchaeological research for the interior and other regions of the Iberian Peninsula is currently limited. Despite several sites with known zooarchaeological profiles from the period, the main issue is that most of these derive from fragmentary and unrepresentative faunal records or are biased profiles from old excavations. New work has yielded novel zooarchaeological results in recent years that could help fill the existing zooarchaeological information gap in the Iberian inland, particularly in the Middle Tagus Valley. However, these projects are in the initial research stages and have not published much of their results. This paper presents the zooarchaeological profile of the Pista de Motos Bronze Age site to help fill this information gap. It analyses the taxonomic representation, skeletal profiles, and human activity patterns associated with faunal use. These observations suggest that animal exploitation at the site followed two primary purposes. One was linked to economic activities, mainly to obtain meat, milk, wool, or animal labour. The other was probably associated with symbolic-ritual practices suggested by the complete animal burials in some excavated units. We contextualise these interpretations with evidence from other Bronze Age sites in the Middle Tagus Valley. Finally, the paper assesses to what extent Pista de Motos is a relevant site for the zooarchaeology of the Bronze Age in the Iberian inland. [ABSTRACT FROM AUTHOR]

In IoT applications, prediction models have fundamental challenges such as real-time processing, producing results with considerable/without delay, and taking action against pattern drift. While existing models can excel when data statistics remain relatively stable, real-time systems may encounter difficulties, particularly when confronted with dynamic shifts in data behavior. Analyzing data streams generated by different IoT applications and detecting complex pattern on the fly has become an open area of research. Complex event processing with adaptivity is a must to get desired features in such models. To address this issue, a comprehensive model for prediction has been proposed in this paper. It consists of two phases: (1) the basic model is constructed using historical data, (2) a fast Fourier transform-based adaptive support vector regression (FFT-ASVR) approach is proposed to predict events embedded in IoT data streams. FFT-ASVR predicts abnormal events by experiencing a change in data streams with real-time model updation. The performance of FFT-ASVR with a similar existing method SVM-RBF is presented using real-time traffic data of Madrid city. The proposed approach has significant improvement in terms of mean absolute percentage error (MAPE) for prediction, is adaptive in nature, and is also capable of handling the issue of pattern drift. [ABSTRACT FROM AUTHOR]

Agent-based epidemiological simulators have been proven to be one of the most successful tools for the analysis of COVID-19 propagation. The ability of these tools to reproduce the behavior and interactions of each single individual leads to accurate and detailed results, which can be used to model fine-grained health-related policies like selective vaccination campaigns or immunity waning. One characteristic of these tools is the large amount of input data and computational resources that they require. This relies on the development of parallel algorithms and methodologies for generating, accessing, and processing large volumes of data from multiple data sources. This work presents a parallel workflow for extending the social modeling of EpiGraph, an agent-based simulator. We have included two novel parallel social generation stages that generate a detailed and realistic social model and one new visualization stage. This work also presents a description of the algorithms used in each stage, different optimization techniques that permit to reduce the application convergence time, and a practical evaluation of large workloads on HPC systems. Results show that this contribution can be efficiently executed in parallel architectures and the results allow to increase the simulation detail level, representing a significant advance in the simulator scenario modeling. As a summary of results, the first contribution of this paper is the development of two models (a spatial and a social one) that assign geographical and socioeconomic indicators to each simulated individual (i.e., agents), reproducing the real social distribution of the city of Madrid. The second contribution presents an improved parallel and distributed algorithm that executes the two aforementioned models using different parallelization strategies and preserving the load balance. [ABSTRACT FROM AUTHOR]

Effective blood glucose management is crucial for people with diabetes to avoid acute complications. Predicting extreme values accurately and in a timely manner is of vital importance to them. People with diabetes are particularly concerned about suffering a hypoglycemia (low value) event and, moreover, that the event will be prolonged in time. It is crucial to predict hyperglycemia (high value) and hypoglycemia events that may cause health damages in the short term and potential permanent damages in the long term. This paper describes our research on predicting hypoglycemia events at 30, 60, 90, and 120 minutes using machine learning methods. We propose using structured Grammatical Evolution and dynamic structured Grammatical Evolution to produce interpretable mathematical expressions that predict a hypoglycemia event. Our proposal generates white-box models induced by a grammar based on if-then-else conditions using blood glucose, heart rate, number of steps, and burned calories as the inputs for the machine learning technique. We apply these techniques to create three types of models: individualized, cluster, and population-based. They all are then compared with the predictions of eleven machine learning techniques. We apply these techniques to a dataset of 24 real patients of the Hospital Universitario Principe de Asturias, Madrid, Spain. The resulting models, presented as if-then-else statements that incorporate numeric, relational, and logical operations between variables and constants, are inherently interpretable. The True Positive Rate and True Negative Rate metrics are above 0.90 for 30-minute predictions, 0.80 for 60 min, and 0.70 for 90 min and 120 min for the three types of models. Individualized models exhibit the best metrics, while cluster and population-based models perform similarly. Structured and dynamic structured grammatical evolution techniques perform similarly for all forecasting horizons. Regarding the comparison of different machine learning techniques, on the shorter forecasting horizons, our proposals have a high probability of winning, a probability that diminishes on the longer time horizons. Structured grammatical evolution provides advanced forecasting models that facilitate model explanation, modification, and retesting, offering flexibility for refining solutions post-creation and a deeper understanding of blood glucose behavior. These models have been integrated into the glUCModel application, designed to serve people with diabetes. [ABSTRACT FROM AUTHOR]

This paper focuses on the visual representation of "the urban people" by the Spanish leftwing populist party Unidas Podemos (UP) during the campaign for regional elections in Madrid in 2021. The political environment was characterised by increasing polarisation and the hyper-leadership of two candidates, right-wing Isabel Díaz Ayuso and UP's national leader Pablo Iglesias. In this context, UP employed a diverse range of images and audiovisual material with a specific focus on the urban dimension. This paper explores how the populist logic and societal split--the people vs. the elite--deployed by UP are visually represented and connected with the urban space. Drawing on the central role of images in politics, this paper contributes to the emerging scholarship on the visual and spatial dimensions of populism by (a) exploring the connections between populist imaginary, space, and the visual; (b) advancing an empirical analysis of the image of "the people" in a left-wing political party; and (c) connecting the imaginary of populism to its geo-graphical dimension, stressing both the urban and class divide. [ABSTRACT FROM AUTHOR]

The paper focuses on climate actions through water activity and energy synergies supporting a water public operator—Canal de Isabel II—to fight against climate change in the region of Madrid. Actions for its mitigation such as the generation of electricity through water treatment activity are undoubtedly a great tool to face climate change and mitigate CO2 emissions. Led by the Strategic Plan of Canal, a water & energy cycle has been designed that, taking advantage of the different processes carried out, and thanks to the appropriate technologies, allows the generation of 100% renewable electrical energy. Through its solar energy plan, Canal is making an important technological effort to reduce energy consumption, taking advantage of the extensive area the water company has for its operations. At the same time, wastewater solutions ans possibilities are becoming more attractive. This paper explains how the Canal is transforming biogas from wastewater treatment plants into fuel for vehicles. On adaptation, this document describes measures for increasing the availability of resources, reducing water consumption, and preparing for new challenges, provided that water remains an essential resource affordable and accessible to all. In this sense, Canal's main contribution and responsibility is to ensure its availability in the event of water scarcity and to avoid the effects of extreme weather phenomena. In addition, the paper presents important projects related to such adaptations as the tariff structure to discourage high superfluous uses of water or the water reclaimed production. This integrated approach to water and energy production and consumption represents an unbeatable strategy that is recommended for dealing with this global problem in a sustainable way. Canal's activities prove that a water company can aspire to be more sustainable through the implementation of integrated projects on the water and energy nexus. [ABSTRACT FROM AUTHOR]

The aim of this work is to analyze the applicability of a convex hyperbola chart's methodology to determine how many pumps should be working in a pumping station of a real case study to consume the least amount of energy. The applicability of the convex hyperbola charts is demonstrated, its effectiveness is shown, and a step-by-step exemplification is presented. Moreover, the order in which pumps should be activated is analyzed and discussed. The pumping station of the optimization is located in Tres Cantos, Madrid, Spain; it consists of a pumping station of four (+1 reserved) hydraulic pumps that take water from a reservoir and distribute it through a branched pipeline. The geometric height difference Hg of the case study is variable. This article also shows how the variability of Hg plays a major role in the optimal configuration of the pumping station. This paper also proves how the number of pumps to activate or disactivate does not necessarily need to be consecutive, meaning that activating or disactivating pumps one by one may not be the best solution. The convex hyperbola charts show how there can be circumstances in which skipping a certain number of pumps is the best solution. How the pump efficiency is distributed along the commercial pump plays a major role in determining which is the best configuration of active pumps. A straightforward and inexpensive optimization methodology for the optimization of the energy in a water supply system was proved and exemplified. This simple methodology can be applied by engineers in the operation of a water supply system when pumping is required, e.g., in agricultural systems or in underdeveloped areas where energy expenses need to be considered. [ABSTRACT FROM AUTHOR]

Place-based accessibility measures communicate the potential interaction with opportunities at a zone that populations can access. Recent research has explored the implications of how opportunities are counted by different accessibility methods. In conventional measures, opportunities are multiply counted if more than one zone offers access to the same opportunity. This multi-count of opportunities leads to values of accessibility that are difficult to interpret. A possible solution to enhance the meaning-making of accessibility results is by constraining the calculations to match a known quantity. This ensures all zonal values sum up to a predetermined quantity (i.e., the total number of opportunities). In this way, each value can be meaningfully related to this total. A recent effort that implements this solution is spatial availability, a singly-constrained accessibility measure. In this paper, we extend spatial availability for use in the case of multiple modes or more generally, heterogeneous population segments with distinct travel behaviors. After deriving a multimodal version of spatial availability, we proceed to illustrate its features using a synthetic example. We then apply it to an empirical example of low emission zones in Madrid, Spain. We conclude with suggestions for future research and its use in evaluating policy interventions. [ABSTRACT FROM AUTHOR]

The geography of school choice critically shapes families' educational opportunities. Residential segregation, social inequalities and the educational marketplace interact in complex ways and produce spatialised educational opportunities for families. This paper analyses the link between these dimensions and how they structure families' educational opportunities in the city of Madrid. Based on several administrative datasets that capture students' residential location, their socio-economic position, the schools they attend and the characteristics of school supply, our analysis reveals the uneven spatial distribution of the different school modalities in Madrid, where advantaged families and neighbourhoods have more diversified and socio-economically homogenous nearby schooling options. The results also depict the way the city is spatially divided along a continuum of 'privileged' residential and educational assets. The paper reflects on how reforms expanding school choice and diversification of the educational market undertaken by the regional government may have increased the link between residential and school segregation. [ABSTRACT FROM AUTHOR]

The growth of the International Baccalaureate (IB) worldwide is part of a global trend towards the internationalisation of education (IE). Its implementation, nonetheless, takes different forms depending on national and local contexts. This paper examines the recent expansion of the IB in Madrid, drawing upon the sociology of education policy enactments and recontextualisations and the Cultural Political Economy approach. Combining in-depth interviews, document analysis and secondary quantitative data, this paper shows why Madrid has led the expansion of IB schools in Spain in the last decade, an expansion, which has nonetheless remained relatively unnoticed. Our findings suggest that the growth and penetration of private international education initiatives such as the IB may be related to particular social factors, education system characteristics and education policy ensembles, with a particularly intense manifestation in decentralised systems where neoliberal and neoconservative policies foster autonomy, competition, internationalisation and 'excellence'. [ABSTRACT FROM AUTHOR]

Aim: Suicidal behavior is a serious public health problem and a major cause of death among adolescents. Three categories of major risk factors have been identified: psychological factors, stressful life events, and personality traits. Severe and objective stressful life events (SLEs), such as childhood mistreatment or abuse, have been clearly associated with higher rates of suicide risk. However, the relationship between suicide risk and adolescents' perceptions of the SLE impact is not as clear. This paper studies the relationship between SLE impact perception and suicide risk and the possible mediating role of perceived family functioning in this relationship. The need for longer-term or more intense psychological or psychiatric treatment in relation to SLE impact perception is also addressed. Method: One hundred forty-seven adolescents aged 11–17 were consecutively recruited from the Child and Adolescent Mental Health Outpatient Services Department of a general hospital in Madrid, Spain. Self-informed questionnaires were used to assess suicide risk, SLEs, and family functioning. In addition, the clinical records of the participants were consulted to collect information about their treatment histories, including the number of appointments and the duration of follow-up. Results: SLE impact perception correlates significantly with suicide risk, the number of clinical appointments, the duration of treatment, and the perceived level of family functioning. The mediation model of the family functioning perception variable in the relationship between SLE impact perception and suicide risk is significant. The linear regression model of SLE impact perception and family functioning perception on suicide risk is also significant, accounting for 25.7% of the variance. Conclusions: Beyond the clear and proven effect of serious and objective SLEs, the perceived impact of SLEs reported by adolescents is related to an increased risk of suicide and more intense psychological and/or psychiatric follow-up. This relationship is mediated by the perceived level of family functioning. Adolescents' perceptions of their life experiences and perceived family support may be key determinants of suicide risk prevention. [ABSTRACT FROM AUTHOR]

This study formulates a mathematical dynamic Computable General Equilibrium (CGE) model within a rational expectations framework, adhering to neo-classical principles. It emphasizes the significant role of agents' expectations in determining the broader economic trajectory over time. The model combines microeconomic and macroeconomic perspectives by merging the concept of intertemporal choice with savings behavior. Its mathematical foundations are derived and calibrated using data from a social accounting matrix to enhance its simulation capabilities. The paper presents a practical simulation investigating the economic implications of a strategic investment impact within an specific European region, Madrid as the case of study. Such demand shock affects sectors such as electronics, food, pharmaceuticals, and education. The study models the long-term effects of heightened investment and persistent demand-side shocks. The research demonstrates the CGE model's ability to forecast economic shifts toward a new equilibrium after an investment shock, proving its utility for assessing the impacts of extensive environmental policies within a European context. The work's originality lies in its detailed mathematical formulation, contributing to theoretical discourse and practical application in business analytics. [ABSTRACT FROM AUTHOR]

The platform economy is an ecosystem of algorithmically-organised social–technical relationships. In the specific area of home food delivery via digital platforms, algorithmic mediation motivates agents to act in specific ways based on algorithmic logic, creating a distinct form of subjectivity. Based on an ethnography carried out with delivery riders in the City of Madrid (Spain) between 2021 and 2023, in this paper we explore the concept of participatory subjectivity, proposing a distinction between three categories: (a) systems in which the delivery worker seeks algorithmic recognition, (b) systems in which users act in such a way as to be ignored by the algorithm and (c) systems in which it is the design of the algorithms themselves that fosters participation by users. We believe that the concept of participatory subjectivity contributes to the debate on algorithmic mediation in the platform economy, while also affording new perspectives on its effects on workers. [ABSTRACT FROM AUTHOR]

This paper investigates the effect on academic performance of an exogenous educational reform that reduced the school calendar of non-fee-paying schools in the Madrid region (Spain) by approximately two weeks, leaving the basic curriculum unchanged. To identify the consequences of such a measure, we exploit the fact that it did not affect private schools (control group) and the existence of an external cognitive test that measures academic performance before and after its application in the region. We find that the reform worsened students' educational outcomes by around 0.13 of a standard deviation. This effect was especially strong in the subjects of Spanish and Mathematics. We further explored quantile effects across the distribution of exam scores, finding that the disruption had a more negative effect on students in the upper quartile than those in the lower quartile. Overall, the analysis shows a reduction in the gap across non-fee-paying schools and an increase in the gap between non-fee- and fee-paying schools. [ABSTRACT FROM AUTHOR]

The manner in which individuals worldwide shared art during the most challenging months of the COVID-19 pandemic stands as one of the most significant instances of creative social resistance in recent history. As a collective tool of resistance against emotional trauma, and as a means to foster a sense of community and well-being, the study of this phenomenon offers a compelling avenue for research into creativity and its social functions. This paper presents a descriptive case study of a successful 50-day collective experience within a neighborhood community in Madrid, Spain, during a period when the city, as a notably exceptional case study for research, bore one of the heaviest burdens of COVID-19 in the world. Data were gathered through in-depth personal interviews and direct observations. Applying a connected approach drawing on the fields of the Sociology of Art and Media Studies, three key findings emerge: (1) participants emphasized shared live artistic performances as the primary catalyst for fostering a sense of community, collective resilience, and overall well-being; (2) their sense of togetherness was further bolstered by digital and media support, as recordings of live performances were shared with loved ones living elsewhere, as well as with journalists and on social networks. This network of communication played a pivotal role in connecting individuals; (3) the combined efforts of both initiatives contributed to the development of a more positive individual and shared narrative surrounding the crisis. [ABSTRACT FROM AUTHOR]

Students in their first year of computer science (CS1) at universities typically struggle to grasp fundamental programming concepts. This paper discusses research carried out using a Java-based visual execution environment (VEE) to introduce fundamental programming concepts to CS1 students. The VEE guides beginner programmers through the fundamentals of programming, utilizing visual metaphors to explain and direct interactive tasks implemented in Java. The study's goal was to determine if the use of the VEE in the instruction of a group of 63 CS1 students from four different groups enrolled in two academic institutions (based in Madrid, Spain and Galway, Ireland) results in an improvement in their grasp of fundamental programming concepts. The programming concepts covered included those typically found in an introductory programming course, e.g., input and output, conditionals, loops, functions, arrays, recursion, and files. A secondary goal of this research was to examine if the use of the VEE enhances students' understanding of particular concepts more than others, i.e., whether there exists a topic-dependent benefit to the use of the VEE. The results of the study found that use of the VEE in the instruction of these students resulted in a significant improvement in their grasp of fundamental programming concepts compared with a control group who received instruction without the use of the VEE. The study also found a pronounced improvement in the students' grasp of particular concepts (e.g., operators, conditionals, and loops), suggesting the presence of a topic-dependent benefit to the use of the VEE. [ABSTRACT FROM AUTHOR]

This paper aims to analyse human mobility in a university campus on the outskirts of the Madrid region. Several surveys which were distributed to students for completion during the 2017-2018, 2018-2019, and 2021-2022 courses were examined. Both an exploration of existing transport modes using clustering techniques and a statistical analysis on trip origins, travel times, and distances were performed. Not all municipalities with the highest number of trips were the closest to the university. The clustering analysis identified a lower variability in the use ratio of the transport modes in the 2017-2018 course. The private car, which exhibited a low sharing rate, was the most utilised transport mode. This was followed by public and university transportation. Similarities between the probability distributions of journeys using public and university transports were found. High and moderate correlations between the number of the existing stops and the amount of trips by subway and urban bus were detected. The lowest median values of travel distances corresponded to students, administrative staff, teachers, and researchers who exhibited very similar values. Considering the three analysed academic years as a whole, the most likely travel times were 30–60 minutes. It was detected that a higher gross annual income did not imply higher private car use. Residents in areas with the highest ozone concentrations also exhibited a high use of motorised vehicles. A low familiarisation with car-sharing and car-pooling platforms was also found. Globally, a high level of comfort during the trip was mostly perceived. [ABSTRACT FROM AUTHOR]

Respiratory viruses, such as COVID-19, are spread over time and space based on human-to-human interactions. Human mobility plays a key role in the propagation of the virus. Different types of sensors in smart cities are able to continuously monitor traffic-related human mobility, showing the impact of COVID-19 on traffic volumes and patterns. In a similar way, traffic volumes measured by smart traffic sensors provide a proxy variable to capture human mobility, which is expected to have an impact on new COVID-19 infections. Adding traffic data from smart city sensors to machine learning models designed to estimate upcoming COVID-19 incidence values should provide optimized results compared to models based on COVID-19 data alone. This paper proposes a novel model to extract spatio-temporal patterns in the spread of the COVID-19 virus for short-term predictions by organizing COVID-19 incidence and traffic data as interrelated temporal sequences of spatial images. The model is trained and validated with real data from the city of Madrid in Spain for 84 weeks, combining information from 4372 traffic measuring points and 143 COVID-19 PCR test centers. The results are compared with a baseline model designed for the extraction of spatio-temporal patterns from COVID-19-only sequences of images, showing that using traffic information enhances the results when forecasting a new wave of infections (MSE values are reduced by a 70% factor). The information that traffic data has on the spread of the COVID-19 virus is also analyzed, showing that traffic data alone is not sufficient for accurate COVID-19 forecasting. [ABSTRACT FROM AUTHOR]

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]

Critical debates in human geography have interrogated the changing political landscapes of the post‐2008 crisis period and the post‐democratic imprint of neoliberal reconfigurations in Europe. Moreover, geographers have offered insights into politicisation processes that disrupted the post‐crisis consensus, attesting to the possibility inherent within forms of democratic politics. Contributing to these debates, this paper critically engages with Chantal Mouffes "agonistics" approach, aiming to deliberate on the implicit geographies of her thought and bring forward the complex, messy, and multi‐scalar geographies of democratic politics. In so doing, the paper offers an empirically informed comparative perspective of two exemplary cases of governance changes. Social solidarity economy (SSE) and housing inform our re‐conceptualisation of "agonistics," through a plural reading of the co‐existing and at times conflicting forms of political agency and democratic politics of this period. By conceptualising the multiple and heterogeneous spatialities, modalities, and temporalities of agonistics in Athens and Madrid, we acknowledge their mutual constitution and distinct analytical validity for geographical thinking. Comparing across uneven geographical contexts elicits crucial tensions emanating from the heterogeneity of the two contexts and further allows us to distillate the diverse, yet complementary, logics and analytical dimensions of agonistics. Eventually, our contribution aims to problematise the distinction between "politics" and "the political" – as either neatly spatialised around pre‐given state spaces or understood exclusively as disruptive moments and ruptural events – and draw the attention to actually existing forms of agonistic politics. The paper critically engages with Chantal Mouffe's "agonistics" approach, aiming to deliberate on the implicit geographies of her thought and bring forward the complex, messy, and multi‐scalar geographies of democratic politics. In so doing, it offers an empirically informed comparative perspective of two exemplary cases of governance changes in Athens and Madrid, which inform our re‐conceptualisation of "agonistics", through a plural reading of the spatialities, modalities, and temporalities of democratic politics. [ABSTRACT FROM AUTHOR]

A further gift is a translation of Cajal's paper, originally in French, which was presented at the XIV Concilium Ophtalmologicum, Madrid (Ramón y Cajal [6]). La Retina de los Vertebrados: Santiago Ramón y Cajal. The original work has been made available as translations into German (Ramón y Cajal [5]) and English (Ramón y Cajal [8], [9]), with some supplements by Cajal himself ([5]) and by the translators. The original French version, with supplements, was reprinted late in Cajal's life for the opening of the XIV Concilium Ophtalmologicum in Madrid (Ramón y Cajal [7]). [Extracted from the article]

In the past ten years, cities have experienced a burst of micromobility services as they offer a flexible transport option that allows users to cover short trips or the first/last mile of longer trips. Despite their potential impacts on mobility and the fact that they offer a cleaner, more environmentally friendly alternative to private cars, few efforts have been devoted to studying patterns of use. In this paper we introduce new ways of visualizing and understanding spatiotemporal patterns of micromobility in Madrid based on the conceptual framework of Time-Geography. Hägerstrand's perspectives are taken and adapted to analyze data regarding use of micromobility, considering each trip departure location (origins) obtained from GPS records. The datasets are collected by three of the most important micromobility operators in the city. Trip origins (points) are processed and visualized using space–time cubes and then spatially analyzed in a GIS environment. The results of this analysis help to identify the landscape of micromobility in the city, detecting hotspot areas and location clusters that share similar behavior throughout space and time in terms of micromobility departures. The methods presented can have application in other cities and could offer insights for transport planners and micromobility operators to better inform urban planning and transportation policy. Additionally, the information could help operators to optimize vehicle redistribution and maintenance/recharging tasks, reducing congestion and increasing efficiency. [ABSTRACT FROM AUTHOR]

This paper combines historical and contemporary sources to examine 'epidemic urban planning' from the first decades of the 20th century through to the present day. It considers how infamous early 20th-century epidemics triggered the development of several urban regulations that profoundly shaped the city's future. To reduce the risk of contagion in bourgeois space, the city began displacing and spatially segregating the urban poor, leading to deprived neighbourhoods in the city's suburbs. The social and urban structure of these deprived, 'vulnerable' neighbourhoods remains to this day. Madrid was also greatly impacted by the COVID-19 crisis, and the initial distribution of COVID geographies seemed to reflect these historical legacies. Epidemic-influenced segregation kept wealthy neighbourhoods relatively safe during the first waves of the COVID-19 pandemic, concentrating the disease in poorer areas. [ABSTRACT FROM AUTHOR]

This paper aims to dissect the presence of female writers in the main four cultural supplements of Spanish reference press: Babelia (El país), Cultura/s (La vanguardia), El cultural (El mundo) and ABC cultural (ABC). For this, we analyzed the "books of the year" recommended between 2010 and 2021 (n = 1,286), as well as the juries in charge of elaborating these ranks. The results show the subsidiary role reserved for women in this sphere of cultural information: they barely author 25.3% of the selected books, although some degree is progress is observed in the historical series, after going from 4.8% in 2011 to 37.8% in 2020. The increase in the presence of women in the juries has contributed to this phenomenon --the correlation between ratio of women in both lists being statiscally significant (rs = 0.647, p < 0.001)--, together with the commitment of supplement such as Babelia and Cultura/s to literature written by women. On the contrary, there still seem to be pockets of exclusion in El cultural and ABC cultural, which reduce the visibility of work of female writers in Spain. According to our findings, women authors stand out for their youth (they are between 8 and 20 years younger than men, depending on the indicator), cosmopolitism (there are more foreign female writers, especially American, than Spanish) and origin (mainly, Madrid and Barcelona). This article evinces the collective imaginary, settled for centuries, by which literature was considered a men's affair, and reflects on the role of cultural journalism and its prescriptive function when it comes to breaking down gender stereotype --a task that, in view of the data provided in this paper, is still far from been completed. [ABSTRACT FROM AUTHOR]

In most big cities, public transports are enclosed and crowded spaces. Therefore, they are considered as one of the most important triggers of COVID-19 spread. Most of the existing research related to the mobility of people and COVID-19 spread is focused on investigating highly frequented paths by analyzing data collected from mobile devices, which mainly refer to geo-positioning records. In contrast, this paper tackles the problem by studying mass mobility. The relations between daily mobility on public transport (subway or metro) in three big cities and mortality due to COVID-19 are investigated. Data collected for these purposes come from official sources, such as the web pages of the cities' local governments. To provide a systematic framework, we applied the IBM Foundational Methodology for Data Science to the epidemiological domain of this paper. Our analysis consists of moving averages with a moving window equal to seven days so as to avoid bias due to weekly tendencies. Among the main findings of this work are: a) New York City and Madrid show similar distribution on studied variables, which resemble a Gauss bell, in contrast to Mexico City, and b) Non-pharmaceutical interventions don't bring immediate results, and reductions to the number of deaths due to COVID are observed after a certain number of days. This paper yields partial evidence for assessing the effectiveness of public policies in mitigating the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

This paper presents a life cycle assessment (LCA) analysis of a new, high-concentration photovoltaic (HCPV) technology developed as part of the HIPERION project of hybrid photovoltaics for efficiency record using an integrated optical technology. In the LCA calculations, the production stage of a full module was adopted as a functional unit. SimaPro version 9.00.49, the recent Ecoinvent database (3.8), and the IPCC 2021 GWP 100a environmental model were applied to perform the calculations. The environmental impact of the HCPV panel was determined for constructional data and for recycling of the main elements of the module. The results of the calculations show that recycling of PMMA, rubber, and electronic elements reduced the total carbon footprint by 17%, from 240 to 201 kg CO2-eq. The biggest environmental load was generated by the PV cells: 99.9 kg CO2eq., which corresponds to 49.8% (41.7% without recycling) of the total environmental load due to the large number of solar cells used in the construction. The emission of CO2 over a 25-year lifespan was determined from 17.1 to 23.4 g CO2-eq/kWh (20.4 to 27.9 without recycling), depending on the location. The energy payback time (EPBT) for the analyzed module is 0.87 and 1.19 years, depending on the location and the related insolation factors (Madrid: 470 kWh/m2, Lyon: 344 kWh/m2). The results of the calculations proved that the application of recycling and recovery methods for solar cells can improve the sustainability of the photovoltaic industry. [ABSTRACT FROM AUTHOR]

A central theme in the literature has been the identification of the factors that drive the creation of entrepreneurial universities. The application of these factors and university institutional commitment become essential to overcome the institutional barriers that may exist. Moreover, some authors have warned that in some university systems, transformation becomes a challenge due to high dependence on the State. In this paper, we have examined whether the dependence of Spanish universities on the State can be interpreted as an inhibitor of the transformation process, as well as the institutional commitment of several universities to become entrepreneurial entities, in a national framework that—considering the literature—would not seem the most optimal to achieve it. We note that the State is not an inhibitor, but not all universities show the same internal commitment. When universities are committed to change, the process is accelerated by the sum of two impulses. [ABSTRACT FROM AUTHOR]

This paper presents evidence of the significant role that geography plays in customer churn behaviour in online retail. In an urban environment, mimetic behaviours are found to affect nearby individuals. This novel approach is based on the idea that customer churn is not randomly distributed across the map. This paper analyses more than 2,000 spatially georeferenced customers and demonstrates that customers show different patterns when deciding to cease activity, and that other factors besides spatial autocorrelation influence churn probability. Finally, the results prove that including spatial spillover in models improves predictability. This improvement results in substantial economic benefits since marketing managers can consequently reduce their company's loss of customers more effectively. [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]

In this paper, we describe an educational experience in the context of the Master's degree that is compulsory in Spain to become a secondary education mathematics teacher. Master's students from two universities in Madrid (Spain) attended lectures that addressed—emphasizing the concourse of a dynamic geometry software package—some historical, didactic and mathematical issues related to linkage mechanisms, such as those arising in the 18th and 19th centuries during the development of the steam engine. Afterwards, participants were asked to provide three different kinds of feedback: (i) working on an assigned group task, (ii) individually answering a questionnaire, and (iii) proposing some classroom activity, imagining it would be addressed to their prospective pupils. All three issues focused on the specific topic of the attended lectures. In the framework of Mason's reflective discourse analysis, the information supplied by the participants has been analyzed. The objective was to explore what they have learned from the experience and what their perception is of the potential interest in linkages as a methodological instrument for their future professional activity as teachers. This analysis is then the basis upon which to reflect on the opportunities (and problems) that this particular bar-joint linkages methodological approach could bring towards providing future mathematics teachers with attractive tools that would contribute to enhancing a STEAM-oriented education. Finally, the students' answers allow us to conclude that the experience was beneficial for these pre-service teachers, both in improving their knowledge on linkages history, mathematics, industrial, technological and artistic applications, and in enhancing the use in the classroom of this very suitable STEAM context. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this research is to understand everyday information behavior (IB) during the Covid-19 pandemic at the "new normal" stage, focusing on the notions of experiential knowledge (EK), i.e. knowledge acquired by first-hand experience or in personal interactions, and local knowledge (LK) as perception of local environment. Design/methodology/approach: Seventeen interviews were carried out in February–May 2021, in a district of the city of Madrid (Spain). Interview transcripts were analyzed according to grounded theory, to identify major and complementary themes of EK and LK. Findings: Participants' stories show that EK cooperated with information originating from government, scientific authorities and mainstream media, in patterns of convergence and divergence. While convergence produces "thick knowledge" (knowledge perceived as solid, real and multidimensional), divergence leads to uncertainty and collaboration, but it also supports a critical stance on authorities' information. In addition, participants' perceptions of LK emphasize its human component. LK and EK are exchanged both explicitly and tacitly. Originality/value: The paper presents the first approach to understanding EK and LK and their function during the health crisis, characterizing them as alternative information systems and as topics deserving major attention in research on IB and crisis management. [ABSTRACT FROM AUTHOR]

In this paper we present research into narratives on immigrants and immigration, to identify cases of hate speech on the part of political parties against immigrants on Twitter during the 2019 and 2021 electoral campaigns in the Community of Madrid. Using Critical Discourse Analysis, the results confirm the exponential increase by all parties in discussion on the issue of immigration and that the political agenda and public discourse is increasingly framed by hate speech towards unaccompanied minors and undocumented migrants. [ABSTRACT FROM AUTHOR]

This paper presents an exploratory study of humour in multilingual, multicultural healthcare interactions with an interpreter. Data are part of a dataset of healthcare encounters observed in a hospital in Madrid (Spain) for a period of five months, which included the participation of six interpreters. Four aspects were analysed: (1) who initiates humour, (2) who receives humour, (3) what the functions of humour are, and (4) how interpreters behave vis-à-vis humour occurrences. Preliminary findings indicate that humour allows patients, healthcare providers and interpreters to pursue relational and transactional goals similar to those present in monolingual healthcare interactions, such as handling negative emotions. Interpreters are active co-constructors of humour, and all participants in the triad work together towards the establishment and recognition of a humorous frame, where hierarchical relationships seem to exist. Together with linguistic and cultural differences between participants, interpreters must appropriately render background and contextual knowledge to ensure humour maintains its intended function, which emphasises the healthcare interpreter's active role in interaction. These findings call for greater attention to research on humour, as well as specific training for interpreters to highlight its relational power and, thus, ensure successful communication in multicultural, multilingual (healthcare) settings. Resumen: Este artículo presenta un estudio exploratorio del humor en interacciones sanitarias multilingües y multiculturales con participación de un intérprete. Los datos forman parte de un conjunto de encuentros sanitarios con participación de seis intérpretes que se observaron en un hospital de Madrid durante un período de cinco meses. Se analizaron cuatro aspectos: (1) quién inicia el humor y (2) a quién lo dirige, (3) cuáles son las funciones de dicho humor y (4) cómo se comportan los intérpretes en este tipo de situaciones. Los resultados preliminares indican que el humor permite a pacientes, personal sanitario e intérpretes perseguir objetivos de índole relacional y transaccional similares a los presentes en interacciones sanitarias monolingües, como la gestión de emociones negativas. Los intérpretes son coconstructores activos del humor y todos los participantes de la tríada colaboran en el establecimiento y reconocimiento de un marco humorístico, en el que parecen existir relaciones jerárquicas. Junto con las diferencias lingüísticas y culturales entre los participantes, los intérpretes deben transmitir adecuadamente información sobre el trasfondo y el contexto para garantizar que el humor mantenga su función prevista, lo que subraya el papel activo del intérprete sanitario en la interacción. Estos resultados exigen una mayor atención a la investigación sobre el humor, así como una formación específica para los intérpretes que ponga de relieve el poder relacional de dicho humor y, por tanto, se garantice el éxito de la comunicación en entornos (sanitarios) multiculturales y multilingües. [ABSTRACT FROM AUTHOR]

Understanding the characteristics that shape mobility could help to achieve more sustainable transport systems. A considerable body of scientific studies tries to determine these characteristics at the urban level. However, there is a lack of studies analyzing those factors for the heterogeneous zones existing in the suburbs of big cities. The study presented in this paper intends to fill this gap, in the context of two metropolitan corridors in the Madrid Region. Correlation analyses are used to examine how mobility patterns are affected by socioeconomic and urban form variables. Then, a cluster analysis is carried out to classify the types of zones we may find in the suburbs. Results show that the main characteristics leading towards higher car use are low urban density, few local activities, a high percentage of children, and a low percentage of seniors. As for the variable distance to the city center, it does not explain car use. Moreover, some remote areas have many walking trips. This is well understood in the cluster analysis; there are zones far away from the city center but that are dense and well provided for, which work as self-sufficient urban centers. Results reinforce the theories underlying polycentrism as a solution to the urban sprawl challenge. [ABSTRACT FROM AUTHOR]

Cities are certainly a key factor in the location of gambling facilities. This paper aims to map the location of gambling outlets in urban areas and to examine potential links between neighborhoods socioeconomic and demographic characteristics and gambling supply, taking into account spatial dependencies of neighboring areas. This correlation is of interest because neighborhood characteristics may attract sellers, and because the presence of gambling sellers may cause changes in neighborhood demographics. Using detailed official data from the city of Madrid for the year 2017, three spatial econometric approaches are considered: spatial autoregressive (SAR) model, spatial error model (SEM) and spatial lag of X (explicative variables) model (SLX). Empirical analysis finds a strong correlation between neighborhoods characteristics and co-location of gambling outlets, highlighting a specific geographic patterning of distribution within more disadvantaged urban areas. This may have interesting implications for gambling stakeholders and for local governments when it comes to the introduction and/or increase of gambling availability. [ABSTRACT FROM AUTHOR]

The COVID-19 virus continues to generate waves of infections around the world. With major areas in developing countries still lagging behind in vaccination campaigns, the risk of new variants that can cause re-infections worldwide makes the monitoring and forecasting of the evolution of the virus a high priority. Having accurate models able to forecast the incidence of the spread of the virus provides help to policymakers and health professionals in managing the scarce resources in an optimal way. In this paper, a new machine learning model is proposed to forecast the spread of the virus one-week ahead in a geographic area which combines mobility and COVID-19 incidence data. The area is divided into zones or districts according to the location of the COVID-19 measuring points. A traffic-driven mobility estimate among adjacent districts is proposed to capture the spatial spread of the virus. Traffic-driven mobility in adjacent districts will be used together with COVID-19 incidence data to feed a new deep learning LSTM-based model which will extract patterns from mobility-modulated COVID-19 incidence spatiotemporal data in order to optimize one-week ahead estimations. The model is trained and validated with open data available for the city of Madrid (Spain) for 3 different validation scenarios. A baseline model based on previous literature able to extract temporal patterns in COVID-19 incidence time series is also trained with the same dataset. The results show that the proposed model, based on the combination of traffic and COVID-19 incidence data, is able to outperform the baseline model in all the validation scenarios. [ABSTRACT FROM AUTHOR]

The optical telegraphic system was introduced in Spain in 1844. In fact, more than a hundred towers were built to connect Madrid to Irún, Valencia and the Andalusia. Decommissioned at the end of the nineteenth century, despite their historical value, the towers are today abandoned with a high level of material and functional obsolescence, waiting for a new utilization. In light of the above-mentioned aspects, the research aims at the identification, cataloguing and qualification of the telegraphic towers located on the pathway from Madrid to Valencia in order to propose a large-scale territorial project for their preservation and enhancement. In particular, the paper is going to describe, first, a historical and morphological evolution of the telegraphic towers. Second, a methodology for qualification of the architectural, material, constructive and functional characteristics of the towers is reported, with a specific reference to the given case study of the telegraphic paths between Madrid and Valencia. Finally, a redevelopment scenario is proposed for the restoration of the towers as well as for their integration in a cycling and pedestrian naturalistic pathway. [ABSTRACT FROM AUTHOR]

This paper first presents a fuzzy expert system to identify and classify conventional two‐lane roads based on geometric characteristics. Both fuzzy and neuro‐fuzzy techniques have been used. Fuzzy logic has proved suitable to address this problem, since in this case, there is a variability of input information, and classical rules are not suitable to be used due to the uncertainty introduced by some combinations of the variables. Each road's geometric features were measured by sensors in an equipped vehicle, and are subsequently used to classify the roads according to their real condition. The conventional two‐lane roads used for this research are located in the Madrid Region, in Spain. This intelligent system may be used to update the road database regarding the assigned type to each conventional road, according to their present features and state. Also, a risk identification system has been developed to assess whether a vehicle is driving on a two‐lane road with an inappropriate speed, combining variables such as the former identification model, vehicle type, road longitudinal gradient, the angle covered by each horizontal curve, and the existence or not of an additional traffic lane. A fuzzy risk index is proposed for this approach. This fuzzy model may be useful to detect road sections where safety must be enhanced by revising the speed limit, since less safe situations may arise from travelling at unappropriated speeds. [ABSTRACT FROM AUTHOR]

This article explores the spatial politics of the Spanish far-right party VOX, deepening discussions around the spaces of xenophobic populism and anti-fascist politics. The paper foregrounds the need of moving beyond the nation-centred, institutional and descriptive approaches that characterise the literature on far-right politics, to focus on the quotidian grounds of far-right mobilisations. Through an analysis of VOX's politics of hate at the neighbourhood level, I explore the co-constitutive relationship between 'institutional politics' and the 'politics of the street'. Focusing in Hortaleza – a Madrilenian district targeted by VOX's mobilisation – I analyse the ways the party attempts to exploit situated inequalities linked to the urbanisation of border regimes and how neighbourhood movements are challenging VOX through constructing alternative anti-racist politics of belonging. The paper argues that the centrality of the neighbourhood as the lived space of political socialisation makes it a key scale of articulation of anti-fascist politics and grassroots solidarities. [ABSTRACT FROM AUTHOR]

The performing arts are currently in a critical situation worldwide. Various reports warn that the lack of audience. If we focus on dance, and especially folk dances, the situation is worse. In various countries and continents, folk dances are slowly disappearing. In Spain, we find evidence of the downward trend in terms of the number of attendees to performances of Spanish dance -an art form that is highly valued throughout the world. In a generation marked by technological advancements, the only way for classic performing arts to reach young audiences - or digital natives – is to speak the same language they use with new technologies. This paper presents a study in collaboration with the Spanish National Dance Company, carried out with 877 students (aged from 9 to 12) from 12 different schools in the community of Madrid, Spain. We designed a two-phase experiment. In the first phase, we separated the students into 3 groups: students who played a videogame called “Dancing a Treasure,” those who received a workshop from professional dancers, and a control group. In the second phase that took place two weeks later, the participants attended to a real show of Spanish dance, and we studied how the previous educational approaches affected to the students increase of interest after the show. The experiment demonstrated that the videogame was, at least, as effective in increment interest about dance in younger generations as a workshop taught by expert dance professionals. Thus, in terms of scalability, the videogame is a better option because it can be applied with the same results to larger groups with no additional cost. [ABSTRACT FROM AUTHOR]

Migrants' transnational housing investments are a relatively overlooked field to explore the workings of so-called migration industries, as we do, in this paper, through a case study of Ecuadorian migration. Based on fieldwork with two real estate agencies in Madrid and visits to their housing projects in Quito, we show how these companies support Ecuadorians' collective socio-cultural practices in Madrid, in order to capitalise on their potential to invest in the homeland. As the agencies claim, migrants who buy properties in Ecuador do not just pursue their own interest. They also display their unremitting attachment to the country, besides paving the way for a 'successful' return. As our analysis reveals, housing investments can indeed facilitate migrant's physical, emotional, and existential mobility. However, the repertoire of 'Ecuadorianness' these agencies deploy in Spain has little to do with the symbols and imaginaries of modernity and success on which their real estate developments in Ecuador rely. This reveals the inherent tensions in status and life projects between immigration and emigration contexts, and the role of transnational housing investments in mediating them. [ABSTRACT FROM AUTHOR]

The perception of transfers in urban transit trips plays a key role when choosing an appropriate design of a public transport network for a given city, as there are lines structures that involve significantly more connections than others, e.g. hub-and-spoke or feeder-trunk. Besides additional walking and waiting, a transfer involves the interruption of a trip, whose value, called pure transfer penalty (PTP), has not received the same attention from a behavioral viewpoint. In this paper we contribute to find whether there is an equivalency with as general validity as walking and waiting regarding in-vehicle time. We do this by reviewing available evidence – all in relatively large cities - and by estimating the PTP in the very small Spanish city of Vitoria adapting a generic methodology that has been applied only to a metropolitan area (Madrid). Although Vitoria is much smaller in size, with fewer shares of multimodal trips, harder climate and shorter trip distances, results reveal that PTP is perceived as an increase of 18.4 Equivalent-In-Vehicle-Minutes (EIVM) when it does not rain or snow, very close to the values obtained in Madrid (15.2–17.7) and other reported meta-analysis (17.6). This figure drops when bad weather happens, which yields a weighted annual average of 13.9 EIVM. We propose 13–18 as a reasonable equivalence range for planning purposes. • The Pure Transfer Penalty (PTP) – the value of trip disruption – has received comparatively less attention than waiting and walking, although it is a key parameter for transit design. • The literature shows evidence of PTP values that have been obtained in relatively large cities. • The small Spanish city of Vitoria is studied obtaining a weighted average of 14 Equivalent in Vehicle Minutes (EIVM) considering weather conditions. • A range between 13 and 18 EIVM for the PTP is proposed for planning purposes. [ABSTRACT FROM AUTHOR]

Objectives: The Police Districting Problem concerns the definition of patrol districts that distribute police resources in a territory in such a way that high-risk areas receive more patrolling time than low-risk areas, according to a principle of territorial fairness. This results in patrolling configurations that are efficient and effective at controlling crime but that, at the same time, might exacerbate racial disparity in police stops and arrests. In this paper, an Equitable Police Districting Problem that combines crime-reduction effectiveness with racial fairness is proposed. The capability of this model in designing patrolling configurations that find a balance between territorial and racial fairness is assessed. Also, the trade-off between these two criteria is analyzed. Methods: The Equitable Police Districting Problem is defined as a mixed-integer program. The objective function is formulated using Compromise Programming and Goal Programming. The model is validated on a real-world case study on the Central District of Madrid, Spain, and its solutions are compared to standard patrolling configurations currently used by the police. Results: A trade-off between racial fairness and crime control is detected. However, the experiments show that including the proposed racial criterion in the optimization of patrol districts greatly improves racial fairness with limited detriment to the policing effectiveness. Also, the model produces solutions that dominate the patrolling configurations currently in use by the police. Conclusions: The results show that the model successfully provides a quantitative evaluation of the trade-off between the criteria and is capable of defining patrolling configurations that are efficient in terms of both racial and territorial fairness. [ABSTRACT FROM AUTHOR]

The proliferation of betting shops in Spanish cities is causing a heated social debate in response to the undesirable impacts that businesses of this kind can have. As a result, associations and social movements have emerged to try to stem their expansion and, at the same time, regulations have been introduced to prevent the uncontrolled opening of this type of premises. The limitations set out in the legislation include minimum distances between betting shops and schools. In order to understand the spatial dimension of this phenomenon and to find out the extent to which these businesses comply with the regulations in force, in this paper, we study the distribution of betting shops in the city of Madrid and their proximity to each other and to schools. The results reveal certain areas of the city with a high density of betting shops and with schools with high exposure to these businesses. Likewise, results show the significant number of businesses that would have to close (81%; n = 416) if the current moratorium on betting shops that opened their doors before the current legislation came into force did not exist. [ABSTRACT FROM AUTHOR]

Over the last three decades, the most populated Spanish cities have experienced significant spatial, social, and economic changes. The new urban economies have played an essential role in the acceleration of such transformations, entailing a range of both positive and negative impacts at the spatial, social, economic, and environmental levels. This paper presents a quantitative analysis of how the advancement of the globalization and deindustrialization processes has encouraged social polarization in the cities of Madrid, Barcelona, and Valencia, as well as a significant increase in intra-urban socioeconomic residential segregation. The article concludes by arguing that the increase in levels of social inequality and residential segregation reflects the trend towards polarized urban models, which reproduce in urban space the differences observed in the social structure. • Large Spanish cities have experienced significant changes due to globalization and deindustrialization processes. • The advancement of structural processes has led the emergence of a polarized occupational that tends towards greater wage inequality. • Social inequality has become a structural phenomenon in Spanish global cities • Residential segregation has increased due to the gentrification and touristification of urban centres and the suburbanization of poverty. • This dynamic indicates the emergence of polarized urban spaces, which reproduce in the territory the differences observed in the social structure. [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]

This paper analyses how the exploitation of tenants in Spain is boosting income for banks, hedge funds and pension funds. It does so by tracing the origins of the money invested in a Tres Cantos housing project in Madrid. The paper makes the following claims: First, the exploitation taking place in households -referred in this paper as secondary- is increasingly related to worker exploitation, and thus this particular type of exploitation is increasingly relevant to the dynamics of capital accumulation. Second, the key role of secondary exploitation of tenants in the revenue-making strategies of pension funds, hedge funds and banks is augmented and mediated by a myriad of regulations being implemented at the national and supranational scales. Theoretically, the paper contests the Marxian claim that household exploitation is 'secondary' to the exploitation taking place in the production process. [ABSTRACT FROM AUTHOR]