Search

A special‐purpose Committee on DNA Sequences as Types was established at the XIX International Botanical Congress (IBC) in Shenzhen, China, in 2017, with a mandate to report to the XX IBC in Madrid in 2024 with recommendations on a preferred course of action with respect to potential amendments of the International Code of Nomenclature for algae, fungi, and plants to allow DNA sequences as types. This is the first in an expected series of papers from the Special‐purpose Committee on this issue. We set out the background to the establishment of the Committee, explore key issues around typification that are pertinent to the question of DNA sequences as types, enumerate pros and cons of allowing DNA sequences as types, and foreshadow options for future discussion and potential recommendations. [ABSTRACT FROM AUTHOR]

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]

Copyright of Investigaciones Historicas is the property of Universidad de Valladolid, Facultad de Filosofia y Letras 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 Cultura, Ciencia y Deporte is the property of Cultura, Ciencia y Deporte 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.)

The University of Alcalá in Madrid will organize the "III International Congress on Green Public Procurement and Climate Change" on October 4th and 5th, 2023. The congress aims to receive oral communications on topics related to green public procurement and climate change, as well as tangential aspects such as sustainable food, legislation on climate change, public procurement and depopulation, sustainable infrastructure and energy efficiency, and sustainable or low-emission mobility. The Scientific Committee will review the communications and select the best ones for possible publication in the journal Actualidad Jurídica Ambiental. The deadline for submitting abstracts is May 15th, 2023. [Extracted from the article]

This article deals with a methodology for the design of routes for the “bin to bin” (BTB) collection of paper and cardboard waste (PCB) from small businesses, as well as with the new location and calculation of the number of containers needed in the streets for both commercial and non-commercial use due to the large amount of PCB deposited in them. This study was carried out in five shopping areas of the city of Leganés (Community of Madrid, Spain). One of the characteristics of the area is a high density of population and urban traffic. The tool used is the Geographical Information System (GIS-Arc-View). With it we can generate PCB points of high population density in commercial streets based on territorial analysis. We placed the special routes and the new container locations within a distance of 60m of these collection points (CPT). The system calculates and optimizes six routes according to different urban restrictions. Finally, we provided service to 59% of the shops, which generate almost 82% of the PCB waste, using 160min per day to collect 1027kg of high quality PCB. If we compare the system with the system in place previously, we can conclude that the “bin to bin” (BTB) system improves the quality of the PCB in the containers, avoiding overflow and reducing the percentage of rejected material. [Copyright &y& Elsevier]

Copyright of Siglo Diecenueve: Literatura Hispánica is the property of Universitas Castellae 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 Documenta & Instrumenta is the property of Universidad Complutense de Madrid 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.)

We assessed the scientific productivity of XMM- Newton by examining XMM- Newton publications and data usage statistics. We analyse 3272 refereed papers, published until the end of 2012, that directly use XMM- Newton data. The SAO/NASA Astrophysics Data System (ADS) was used to provide additional information on each paper including the number of citations. For each paper, the XMM- Newton observation identifiers and instruments used to provide the scientific results were determined. The identifiers were used to access the XMM-Newton Science Archive (XSA) to provide detailed information on the observations themselves and on the original proposals. The information obtained from these sources was then combined to allow the scientific productivity of the mission to be assessed. Since around three years after the launch of XMM- Newton there have been around 300 refereed papers per year that directly use XMM- Newton data. After more than 13 years in operation, this rate shows no evidence that it is decreasing. Since 2002, around 100 scientists per year become lead authors for the first time on a refereed paper which directly uses XMM- Newton data. Each refereed XMM- Newton paper receives around four citations per year in the first few years with a long-term citation rate of three citations per year, more than five years after publication. About half of the articles citing XMM- Newton articles are not primarily X-ray observational papers. The distribution of elapsed time between observations taken under the Guest Observer programme and first article peaks at 2 years with a possible second peak at 3.25 years. Observations taken under the Target of Opportunity programme are published significantly faster, after one year on average. The fraction of science time taken until the end of 2009 that has been used in at least one article is ∼90%. Most observations were used more than once, yielding on average a factor of two in usage on available observing time per year. About 20 % of all slew observations have been used in publications. The scientific productivity of XMM- Newton measured by the publication rate, number of new authors and citation rate, remains extremely high with no evidence that it is decreasing after more than 13 years of operations. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Hospitality & Tourism Technology is the property of Emerald Publishing Limited 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.)

The purpose of the present paper is to analyse the experience of operating the Madrid-Seville line from 1992 to 2005 and then to describe the scenario that will result from the entry into service of the Madrid-Barcelona and Barcelona-Perpignan routes, within the European context. During the next decade, after the new line between Avignon and Perpignan (approximately 250 km) has been constructed, it will be possible to establish a very long high-speed route between London and Seville in southern Spain (over 2700 km), and this is when the international dimension of high-speed rail transport and its role as a structural element within Europe will acquire a new practical significance. [ABSTRACT FROM AUTHOR]

Background: Internet psychology services are rapidly increasing and that implies online assessment. To guarantee the results of these new online evaluation procedures, it is necessary to have reliable and valid assessment tools. Objective: In this work we analyzed the online versions of two popular psychopathology screening questionnaires: the General Health Questionnaire-28 (GHQ-28) and the Symptoms Check-List-90-Revised (SCL-90-R). Methods: A total of 185 psychology students were recruited from two universities in Madrid, Spain. All of them had Internet access at home. A test-retest situation and factorial analysis were used to generate reliability and validity data. Both paper-and-pencil questionnaires (test) and their online versions (retest) were completed by 100 participants (median gap = 17 days). Results: Results suggest that both online questionnaires were fairly equivalent to their paper-and-pencil versions, with higher reliability values for the SCL-90-R. Factorial analysis tended to reproduce the structure shown in former investigations of both questionnaires, replicating the four-factor structure of the GHQ-28 but failing to do so with the nine-factor structure of the SCL-90-R. Instead, a large unrotated factor appeared. Conclusions: Further research should be carried out to confirm these data, but our work supports the online use of both assessment tools. The psychometric properties of the online version of GHQ-28 is similar to the paper-and-pencil and we can recommend its utilization in a Web environment. In contrast, SCL-90-R can only be recommended as a global index for psychological distress, using the Global Severity Index (GSI), not necessarily its subscales; and it should be considered that the online scores were lower than the ones with the paper-and-pencil version. [ABSTRACT FROM AUTHOR]

The following paper proposes a novel machine learning approach to the segmentation of urban housing markets. We extract features from globally available satellite imagery using an unsupervised machine learning model called MOSAIKS, and apply a k-means clustering algorithm to the extracted features to identify sub-markets at multiple intra-urban scales within a case study of Madrid (Spain). To systematically explore scale effects on the resulting clusters, the analysis is repeated with varying sizes of satellite image patches. We assess the resulting clusters across scales using several internal cluster-evaluation metrics. Additionally, we use data from online listings portal Idealista to measure the homogeneity of housing prices within the clusters, to understand how well sub-markets can be differentiated by the image features. This paper evaluates the strengths and weakness of the method to identify urban housing sub-markets, a task which is important for planners and policy makers and is often limited by a lack of data. We conclude that the approach seems useful to divide large urban housing markets according to different attributes and scales. [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]

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]

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]

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]

The support and participation of local stakeholders in tourism development and the conservation of World Heritage Sites is a fundamental requisite for the sustainable management of World Heritage Sites in urban destinations. This work aims to analyse the threats and opportunities posed by the declaration of World Heritage by UNESCO of the Cultural Landscape of the City of Madrid in July 2021 from the perspective of local stakeholders. The declaration is linked to creating an organization for debate and drafting proposals called the 'Civic and Social Council,' made up of different stakeholders associated with the declared zone (organizations, professional associations, and neighbourhood associations, among others) intending to work, pool resources, and join forces to protect this area. The study integrates three theories, Social Exchange Theory, Integrated Threat Theory and Social Identity Theory. From these theoretical bases, this paper proposes a new theoretical framework where the three complementary approaches are integrated. By conducting a qualitative study based on in-depth interviews with stakeholders and a roundtable discussion with heritage experts, attitudes towards tourism and the threat variables are identified. [ABSTRACT FROM AUTHOR]

This document is an introduction to a special issue of the journal SERIEs, which is dedicated to honoring the influential economist Manuel Arellano. The special issue follows a conference held in Madrid in 2022, where presentations were given by past and present co-authors of Arellano. Arellano, a renowned econometrician, has made significant contributions to panel data econometrics and empirical microeconomics. The special issue includes a collection of research articles that showcase the breadth and impact of Arellano's work. The document also expresses gratitude to those involved in organizing the conference and the special issue. [Extracted from the article]

Context. Problem of traffic prediction in a city is closely connected to the tasks of transportations in a city as well as air pollution detection in a city. Modern prediction models have redundant complexity when used for separate stations, require large number of measuring stations, long measurement period when predictions are made hourly. Therefore, there is a lack of method to overcome these constraints. The object of the study is a city traffic. Objective. The objective of the study is to develop a method for traffic prediction, providing models for traffic quantification at measuring stations in the future under data and resource constraints. Method. The method for agent-oriented traffic prediction under data and resource constraints was proposed in the paper. This method uses biLSTM models with input features, including traffic data obtained from agent, representing target station, and other agents, representing informative city stations. These agents are selected by ensembles of decision trees using Random Forest method. Input time period length is proposed to set using autocorrelation data. Results. Experimental investigation was conducted on traffic data taken in Madrid from 59 measuring stations. Models created by the proposed method had higher prediction accuracy with lower values of MSE, MAE, RMSE and higher informativeness compared to base LSTM models. Conclusions. Obtained models as study results have optimal number of input features compared to the known models, do not require complete system of city stations for all roads. It enables to apply these models under city traffic data and resource constraints. The proposed solutions provide high informativeness of obtained models with practically applicable accuracy level. [ABSTRACT FROM AUTHOR]

Last year, a party of senior nurses visited the Fuenlabrada, an innovative and paperless hospital in Madrid. Here, Noel Scanlon describes what they found, and what it means for the future of the NHS. [ABSTRACT FROM AUTHOR]

The paper attempts to investigate the capacity of agroecological cooperative supermarkets in Spain to promote scaling of food products by means of a double perspective. We first employ a vertical scaling approach to analyze the issues affecting the governance and collective organization of the Cooperative Supermarket Network (CSN), set up in May 2022 and comprising eleven Spanish supermarkets. Secondly, we employ a perspective of horizontal scaling to investigate the potential for increased numbers of members, as well as the geographic and sociodemographic variables at play which limit the abovementioned scaling: to this end we use the case study of the cooperative supermarket La Osa, opened in Madrid in December 2020. We adopt a methodology based on participatory action research throughout the years 2022 and 2023, in which the research team was involved in the real processes of creation and development of the CSN or of La Osa. The study confirms the hypothesis that agroecological cooperative supermarkets constitute a formula for efficient retail distribution for scaling sustainable food in Spain. As opposed to the first-generation options for responsible consumption, these supermarkets appear to contribute to generating significant economies of scale and scope. In terms of vertical scaling, joint provision of services, as well as the gaining of political influence in society, constitute the main advantages in relation to the functioning of the CSN. While the recruitment of new members has heretofore been considered a priority in horizontal scaling, particular emphasis should also be placed on loyalty strategies targeting existing members. [ABSTRACT FROM AUTHOR]

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]

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]

Copyright of Revista Hidalguía is the property of Revista Hidalguia 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 Aula Abierta. Revista de Investigación, Formación e Innovación en Educación (RIFIE) is the property of Universidad de Oviedo, Servicio de Publicaciones 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.)

Cities are complex systems requiring urban design models that balance order and disorder. Collective creativity initiatives engage citizens in these processes, empowering bottom-up approaches that prioritize people and social well-being within urban development. This paper investigates an 'Urban Laboratory' as a case study, examining the potential of collective creativity to address urban complexity. The successful and ongoing project 'El Campo de Cebada' in Madrid, Spain, demonstrates how a community transformed a vacant lot into a vibrant social hub. The phases of this study include case selection, data collection, data analysis, and presentation of the results. This study identifies key enabling factors, including agents, management, social dynamics, infrastructure, and actions. These insights offer a methodological framework for designing future collaborative, resilient, and inclusive urban spaces, addressing the complex needs of communities within our cities. [ABSTRACT FROM AUTHOR]

'Claudia' is neither a real name nor an owner who puts a room at the service of the collaborative economy. It is a pseudonym used by a transnational company which manages short-rentals apartments: 211 Airbnb listings in Madrid, 138 of which are in the city centre. This paper's main arguments are based on the fact that Madrid city centre is experiencing a process of airbnbisation which is driven by professional actors specialized in the short-term rental business. The analysis of this model includes an in-depth examination of the professionalization, concentration and monopolization of Airbnb in Madrid, from a temporal and territorial perspective. The paper concludes that Airbnb in Madrid is dominated by professional actors specialized in the business of renting apartments as short-term rentals, who mainly operate within the city's Central District, and whose activity does not comply with the principles of the sharing economy. This model has more to do with traditional forms of accommodation than with new hospitality models based on the sharing economy principles, and generates negative impacts on the economic sustainability of the city and its inhabitants. [ABSTRACT FROM AUTHOR]

This article presents abstracts of research papers presented at the Third Congress of the European Society of Endodontology, held in Madrid, Spain on November 12-14, 1987. Bacterial contamination is now widely recognized as an important factor influencing the response of the dental pulp to operative trauma and to dental materials. In histologically based trials, approximately one third of the sections are normally stained specifically to demonstrate bacteria. There is little evidence in the literature of an evaluation of the sensitivity of such technique. The antibacterial activity of the vapours of camphorated phenol, iodine potassium iodide, aqueous 2 per cent glutaraldehyde, phenol, formaldehyde and cresophene has been tested in vitro against 20 species of bacteria frequently isolated from root canals.

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]

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]

Ambitious goals to combat pollution should be supported in policies that discourage the use of private cars, notably old and more polluting vehicles. Price signals, such as a congestion tax, and traffic restrictions, such as low-emission zones (LEZ), are widely used tools among European cities to limit car use. In this paper, we look at the dissuasive effect of the implementation of the Madrid Central LEZ and analyze how traffic intensity has been affected in both the restricted area and in other zones of the city. Although the ultimate policy goal of LEZ is to reduce pollution, the instrument considered is traffic limitations, so it is important to know whether or not traffic intensity has been affected by traffic restrictions. Despite its limited extension and the adoption of long transitional periods, the LEZ of Madrid has been seriously questioned from its inception. The results show that traffic intensity has been reduced in the Madrid Central zone but has unfortunately increased in bordering areas. Previous studies on the effects of Madrid Central have not taken into account this potential substitution effect. The future design of a mobility policy in the metropolitan area of Madrid should address this undesirable outcome. [ABSTRACT FROM AUTHOR]

Copyright of Revista Hidalguía is the property of Revista Hidalguia 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 Hipogrifo: revista de literatura y cultura del siglo de oro is the property of Hipogrifo: revista de literatura y cultura del siglo de oro 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.)

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]

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]

Copyright of Regional Science Policy & Practice is the property of Wiley-Blackwell 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.)

This paper focuses on the current situation and the historical development of Austrian Economics in Madrid. We will analyse the formation of this School as the result of the thesis defended by Joaquín Reig Albiol in the late fifties and the current economic debate surrounding the fractional reserve and other complex issues. In this half-century tour, we will explore three different generations of Austrian economists in Spain, whilst demonstrating that a distinct branch of the Austrian School is today live and well in Madrid. Eventually, we will discover how the Spanish Austrian economists have applied praxeology to contemporary political and economic problems and conclude that a vigorous and growing economic school of thought exists in Madrid. [ABSTRACT FROM AUTHOR]

Social media has become a basic source of information for visitors and its capacity to generate interest in touristic destinations gains relevance. This paper identifies elements capable of generating greater user engagement with the official accounts of four European capitals with a high number of tourists: London, Paris, Berlin and Madrid. Our findings, based on the 862 posts published by these cities on their Instagram accounts over the course of one year, show how various aspects of the content of these posts are crucial factors in generating engagement. They also reveal the potential of including in posts variables with elements of interaction between users' contents and official accounts. Moreover, the variables that may generate the most engagement are identified, and both differences and illustrative similarities between the strategies implemented by the cities are noted. These results suggest not only interesting theoretical conclusions, but also important implications for the tourism sector. [ABSTRACT FROM AUTHOR]

After studying the unpublished sketches of the Spanish artist Pablo Palazuelo, this essay proposes the existence of geometric patterns that order his designs. To illustrate the proposal, this paper selects three representative projects by Palazuelo that attempt to demonstrate the presence of a working process related to a mathematical substrate. Specifically, the use of an irregular tiling is proposed for the creation of the following architectural elements: the scenery for a composition by Kandinsky (1950–1954), and the plan for a hotel on Princesa Street, Madrid, (1961). This study also examines the use of regular tessellations in the design of the ceilings of the Huarte Residence in Madrid, (1965). The treatises by Bourgoin and Ghyka have been selected from the library of Palazuelo as the primary theoretical bases of this study. This methodology constitutes a line of further research to analyze different architectural projects. [ABSTRACT FROM AUTHOR]

This paper illustrates how Machine Learning techniques can be used to assess the impact of environmental protocols that are sparsely activated over time. A case study is analysed: the impact of a protocol that sets traffic restrictions on NO2 levels in Madrid's urban area. The protocol specifies that these restrictions are active only when NO2 level reaches above a certain threshold. Since the protocol was first enacted, in 2017, restrictions have only been active for 59 days, never longer than ten consecutive days. Cross effects are identified: the protocol magnifies the effect of other relevant features, especially wind speed. Pollution decreases with wind speed. Consequently, episodes of high pollution levels generally occur when wind speed is low. The analysis shows that precisely at these low values of wind speed, an increase in the wind speed has a higher effect on pollution when the protocol is activated than when it is not. The analysis is carried out at a measuring station level, considering eight representative stations. The referred cross effect is clearer at centrally located stations across Madrid. Cross effects of the protocol with other weather features are weaker than that with wind speed. The assessment is based on the computation of Shapley values for classification trees that are built using XGBoost and rolling windows. [ABSTRACT FROM AUTHOR]

This paper presents a cognitive ethnography on the variability of interpersonal coordination in defense against direct screens during basketball games. We collected data through observation of ten games of Estudiantes U18 Team during the 2014/2015 season in Madrid. We filmed the game and showed clips of specific direct screens to players while conducting semi-structured interviews. We analyzed the video and the discourse qualitatively following grounded theory principles. We identified three categories expressing variability: failure, partial repair, and functional variation. Even though communication was quoted by the interviewed players as a key element in their decision-making, other contextual elements – related to framing and joint attention- affected the degree of variation and success. Based on these findings, the paper offers some recommendations for coaching the tactical behaviour of defense against direct screens. [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 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]