On the influence of social bots in online protests. Preliminary findings of a Mexican case study

Social bots can affect online communication among humans. We study this phenomenon by focusing on #YaMeCanse, the most active protest hashtag in the history of Twitter in Mexico. Accounts using the hashtag are classified using the BotOrNot bot detection tool. Our preliminary analysis suggests that bots played a critical role in disrupting online communication about the protest movement.Comment: 10 page

The impact of one of the most highly cited university patents: formalisation and localization

Ingenio Working Paper SeriesThis paper examines the underlying mechanisms of knowledge diffusion and interrelationships between formal and informal channels attending to the localisation of spillovers between university and industry. With this aim we present a historical in-depth case study centred in one of the most highly cited university patents, developing and applying a theoretical approach that combines formalisation and localisation analytical dimensions. Our findings show how knowledge diffused through channels with different degrees of formalization (patent licenses, “pure” spillovers and consultancy contracts with the inventors). The case also evidences the pervasive delocalization of several knowledge diffusion channels and the complexity of achieving local impact, even at a privileged environment like California. The crucial diffusion mechanism channel stemmed from bidirectional knowledge flows between the university and a non-regional company, which provided the university with the specific fabrication capabilities needed to create an open-lab programme, which ultimately achieved local impact.Peer reviewe

Understanding online political networks: The case of the far-right and far-left in Greece

This is the author accepted manuscript. The final version is available from the publisher via the DOI in this record.This paper examines the connectivity among political networks on Twitter. We explore dynamics inside and between the far right and the far left, as well as the relation between the structure of the network and sentiment. The 2015 Greek political context offers a unique opportunity to investigate political communication in times of political intensity and crisis. We explore interactions inside and between political networks on Twitter in the run up to the elections of three different ballots: the parliamentary election of 25 January, the bailout referendum of 5 July, the snap election of 20 September; we, then, compare political action during campaigns with that during routinized politics.This work received funding from the European Union Horizon 2020 Programme (Horizon2020/2014–2020), under grant agreement 688380

Industrial heritage, economic revitalization and urban compactness in Poblenou-22@barcelona. A new barcelona model?

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La agresividad ambiental y la durabilidad de las estructuras de hormigón

The deterioration of concrete structures is the result of the interaction between them and the environment. In this study, comments are made on the most decisive environmental factors and their interactions. Special reference is made to the corrosion of the reinforcements and also to the different proposals of classification of the aggressiveness. El deterioro de las estructuras de hormigón es el resultado de la interacción entre ellas y el medio ambiente. En el presente trabajo se comentan los factores ambientales más determinantes y sus interacciones, con especial referencia a la corrosión de las armaduras, así como diferentes propuestas de clasificación de la agresividad

The emergent fouling population after severe eutrophication in the Mar Menor coastal lagoon

Mar Menor is one of the largest coastal lagoons in the Mediterranean basin. Over the years, Mar Menor has suffered a significant environmental degradation due to multiple factors with anthropogenic origin. The transformation from a rain-fed basin to intensive irrigated agriculture has led to an rise in the water inflow and nutrients in the basin, which has provoked severe eutrophication. The increase in nutrients led to changes in the structure and function of the lagoon ecosystems. The epibenthic and suspension feeder organisms have benefited from this imbalance, proliferating and reaching a high population density. The composition and abundance of the species assemblage found in the sub-coastal bottoms of the coastal lagoon after the environmental crisis occurred in 2016, using artificial settlement structures. The variation in community density and affinity between sampling sites in 2017 and 2018, were determined. A total of 31 species belonging to 27 genera and 7 phyla were observed in 11 samples. The best represented class are polychaeta (Phylum Annelida) with 11 identified species. The genus with the greatest species richness was Hydroides with two species: H. dianthus (Verrill, 1873), and H. elegans (Haswell, 1883), both of them considered potentially invasive and opportunistic species followed by the genus Serpula, with two species: S. vermicularis (Linnaeus, 1767), and S. concharum (Langerhans, 1880) and the genus Branchiomma was represented with another exotic invasive species, B. boholense (Grube, 1878), which is only found in collectors in 2018. These results have allowed to increase the knowledge about the effect of eutrophication in the structure of the fouling community in the assemblage succession in the Mar Menor coastal lagoon.This study was supported by the research fund of the University of Alicante and Murcia University Aquarium

The impact of a web-based lifestyle educational program (‘Living Better’) Reintervention on hypertensive overweight or obese patients

‘Living Better’, a self-administered web-based intervention, designed to facilitate lifestyle changes, has already shown positive short-and medium-term health benefits in patients with an obesity–hypertension phenotype. The objectives of this study were: (1) to examine the long-term (3-year) evolution of a group of hypertensive overweight or obese patients who had already followed the ‘Living Better’ program; (2) to analyze the effects of completing this program a second time (reintervention) during the COVID-19 pandemic. A quasi-experimental design was used. We recruited 29 individuals from the 105 who had participated in our first study. We assessed and compared their systolic and diastolic blood pressure (SBP and DBP), body mass index (BMI), eating behavior, and physical activity (PA) level (reported as METs-min/week), at Time 0 (first intervention follow-up), Time 1 (before the reintervention), and Time 2 (post-reintervention). Our results showed significant improvements between Time 1 and Time 2 in SBP (-4.7 (-8.7 to -0.7); p = 0.017), DBP (-3.5 (-6.2 to -0.8); p = 0.009), BMI (-0.7 (-1.0 to -0.4); p 0.24). Implementation of the ‘Living Better’ program maintained positive long-term (3-year) health benefits in patients with an obesity–hypertension phenotype. Moreover, a reintervention with this program during the COVID-19 pandemic produced significant improvements in blood pressure, BMI, eating behavior, and PA. © 2022 by the authors. Licensee MDPI, Basel, Switzerland

A meta-analysis of state-of-the-art electoral prediction from Twitter data

Electoral prediction from Twitter data is an appealing research topic. It seems relatively straightforward and the prevailing view is overly optimistic. This is problematic because while simple approaches are assumed to be good enough, core problems are not addressed. Thus, this paper aims to (1) provide a balanced and critical review of the state of the art; (2) cast light on the presume predictive power of Twitter data; and (3) depict a roadmap to push forward the field. Hence, a scheme to characterize Twitter prediction methods is proposed. It covers every aspect from data collection to performance evaluation, through data processing and vote inference. Using that scheme, prior research is analyzed and organized to explain the main approaches taken up to date but also their weaknesses. This is the first meta-analysis of the whole body of research regarding electoral prediction from Twitter data. It reveals that its presumed predictive power regarding electoral prediction has been rather exaggerated: although social media may provide a glimpse on electoral outcomes current research does not provide strong evidence to support it can replace traditional polls. Finally, future lines of research along with a set of requirements they must fulfill are provided.Comment: 19 pages, 3 table