Indicadores clave de sostenibilidad en sistemas de montaña. El caso del corredor seco guatemalteco

Las zonas de montaña tienen particularidades únicas que han de ser tenidas en cuenta para elaborar cualquier plan de desarrollo sostenible. En estas áreas, la falta de accesos,la fragilidad de los suelos, la marginalidad de las tierras y la heterogeneidad de sus condiciones Kísicas, hacen que las estrategias de adaptación de sus habitantes sean aún más dinámicas y variadas de las que pudiera tener cualquier sistema campesino de noFaltura, lo que plantea un desafío añadido

Emotional Preferences and Goals and Emotion Dysregulation in Children with Asperger’s Syndrome and Typically Developing Children

Objectives: Emotion goals lie at the heart of emotion regulation, as people have to first decide what emotions they want to feel before engaging in emotion regulation. Given that children with Asperger’s Syndrome (AS) are characterized by exhibiting difficulties in emotion regulation, studying whether they display similar or different emotion goals compared to typically developing children (TD) may provide insightful information. Methods: Thirty AS and 30 TD children (10-12 years) reported about their general (i.e., how they want to feel in general) and contextualized (i.e., how they want to feel when confronting vs. collaborating with someone) emotion goals, and about their difficulties in emotion regulation through questionnaires. Results: Results showed that both groups did not differ in their general emotional goals and in their contextualized emotion goals for happiness for collaboration and anger for confrontation. AS children only differed from TD children in a higher preference for sadness for collaboration and happiness for confrontation. These emotion goals predicted their difficulties to engage in goal-directed behaviour. Conclusions: The obtained results support the need to further study emotion goals as an aspect of emotion dysregulation, namely the difficulties to engage in goal-directed behaviour when experiencing different emotions

Aplicación de índices de vegetación para evaluar la falta de producción de pastos y montaneras en dehesas.

El ganado porcino ibérico aprovecha los recursos naturales de la dehesa mediante montanera, principalmente la bellota y los pastos existentes. La línea 133 de los seguros agrarios españoles recoge el seguro de compensación por pérdida de pastos, solo para bovino reproductor y de lidia, ovino, caprino y equino, no incluyen los cerdos en montanera. Emplea un Índice de Vegetación de la Diferencia Normalizada (NDVI) medido por satélite sobre pastos desarbolados. El objetivo es comprobar si se puede utilizar un índice de vegetación para estimar la producción de pasto y bellota. Se han tomado datos del aforo de montaneras desde 1999 al 2005, y del pasto en dehesas de Salamanca (Vitigudino), Cáceres (Trujillo) y Córdoba (Pozoblanco) durante 2010 al 2012. Con los datos de 2010 y 2011 se estableció una función de producción del pasto fresco en función del NDVI, mostrando un coeficiente de correlación de 0,975, altamente significativa. Los datos obtenidos en 2012 se utilizaron para validar la función de producción de pasto fresco. La comparación entre los valores observados y simulados para 2012 ha mostrado un coeficiente de correlación de 0,734. Como conclusión, el NDVI puede ser un buen estimador de la cantidad de pasto fresco en dehesas españolas

Why do crop models diverge substantially in climate impact projections? A comprehensive analysis based on eight barley crop models

Robust projections of climate impact on crop growth and productivity by crop models are key to designing effective adaptations to cope with future climate risk. However, current crop models diverge strongly in their climate impact projections. Previous studies tried to compare or improve crop models regarding the impact of one single climate variable. However, this approach is insufficient, considering that crop growth and yield are affected by the interactive impacts of multiple climate change factors and multiple interrelated biophysical processes. Here, a new comprehensive analysis was conducted to look holistically at the reasons why crop models diverge substantially in climate impact projections and to investigate which biophysical processes and knowledge gaps are key factors affecting this uncertainty and should be given the highest priorities for improvement. First, eight barley models and eight climate projections for the 2050s were applied to investigate the uncertainty from crop model structure in climate impact projections for barley growth and yield at two sites: Jokioinen, Finland (Boreal) and Lleida, Spain (Mediterranean). Sensitivity analyses were then conducted on the responses of major crop processes to major climatic variables including temperature, precipitation, irradiation, and CO2, as well as their interactions, for each of the eight crop models. The results showed that the temperature and CO2 relationships in the models were the major sources of the large discrepancies among the models in climate impact projections. In particular, the impacts of increases in temperature and CO2 on leaf area development were identified as the major causes for the large uncertainty in simulating changes in evapotranspiration, above-ground biomass, and grain yield. Our findings highlight that advancements in understanding the basic processes and thresholds by which climate warming and CO2 increases will affect leaf area development, crop evapotranspiration, photosynthesis, and grain formation in contrasting environments are needed for modeling their impacts.Peer reviewe

Children’s Moral Emotion Attribution in the Happy Victimizer Task: The Role of Response Format

Previous research in the happy victimizer tradition indicated that preschool and early elementary-school children attribute positive emotions to the violator of a moral norm, whereas older children attribute negative moral emotions. Cognitive and motivational processes have been suggested as underlying this developmental shift. The current research investigated whether making the happy victimizer task less cognitively demanding, by providing children with alternative response formats, would increase children’s attribution of moral emotions and moral motivation. In Study 1, 93 4- to 7-year-old British children responded to the happy victimizer questions either in a normal condition (where they spontaneously pointed with a finger), a wait condition (where they had to wait before giving their answers), or an arrow condition (where they had to point with a paper arrow). In Study 2, 40 Spanish 4-year-old children responded in the happy victimizer task either in a normal or a wait condition. In both studies, participants’ attribution of moral emotions and moral motivation was significantly higher in the conditions with alternative response formats (wait, arrow) than in the normal condition. The role of cognitive abilities for emotion attribution in the happy victimizer task is discussed

Antimicrobial resistance among migrants in Europe: a systematic review and meta-analysis

BACKGROUND: Rates of antimicrobial resistance (AMR) are rising globally and there is concern that increased migration is contributing to the burden of antibiotic resistance in Europe. However, the effect of migration on the burden of AMR in Europe has not yet been comprehensively examined. Therefore, we did a systematic review and meta-analysis to identify and synthesise data for AMR carriage or infection in migrants to Europe to examine differences in patterns of AMR across migrant groups and in different settings. METHODS: For this systematic review and meta-analysis, we searched MEDLINE, Embase, PubMed, and Scopus with no language restrictions from Jan 1, 2000, to Jan 18, 2017, for primary data from observational studies reporting antibacterial resistance in common bacterial pathogens among migrants to 21 European Union-15 and European Economic Area countries. To be eligible for inclusion, studies had to report data on carriage or infection with laboratory-confirmed antibiotic-resistant organisms in migrant populations. We extracted data from eligible studies and assessed quality using piloted, standardised forms. We did not examine drug resistance in tuberculosis and excluded articles solely reporting on this parameter. We also excluded articles in which migrant status was determined by ethnicity, country of birth of participants' parents, or was not defined, and articles in which data were not disaggregated by migrant status. Outcomes were carriage of or infection with antibiotic-resistant organisms. We used random-effects models to calculate the pooled prevalence of each outcome. The study protocol is registered with PROSPERO, number CRD42016043681. FINDINGS: We identified 2274 articles, of which 23 observational studies reporting on antibiotic resistance in 2319 migrants were included. The pooled prevalence of any AMR carriage or AMR infection in migrants was 25·4% (95% CI 19·1-31·8; I2 =98%), including meticillin-resistant Staphylococcus aureus (7·8%, 4·8-10·7; I2 =92%) and antibiotic-resistant Gram-negative bacteria (27·2%, 17·6-36·8; I2 =94%). The pooled prevalence of any AMR carriage or infection was higher in refugees and asylum seekers (33·0%, 18·3-47·6; I2 =98%) than in other migrant groups (6·6%, 1·8-11·3; I2 =92%). The pooled prevalence of antibiotic-resistant organisms was slightly higher in high-migrant community settings (33·1%, 11·1-55·1; I2 =96%) than in migrants in hospitals (24·3%, 16·1-32·6; I2 =98%). We did not find evidence of high rates of transmission of AMR from migrant to host populations. INTERPRETATION: Migrants are exposed to conditions favouring the emergence of drug resistance during transit and in host countries in Europe. Increased antibiotic resistance among refugees and asylum seekers and in high-migrant community settings (such as refugee camps and detention facilities) highlights the need for improved living conditions, access to health care, and initiatives to facilitate detection of and appropriate high-quality treatment for antibiotic-resistant infections during transit and in host countries. Protocols for the prevention and control of infection and for antibiotic surveillance need to be integrated in all aspects of health care, which should be accessible for all migrant groups, and should target determinants of AMR before, during, and after migration. FUNDING: UK National Institute for Health Research Imperial Biomedical Research Centre, Imperial College Healthcare Charity, the Wellcome Trust, and UK National Institute for Health Research Health Protection Research Unit in Healthcare-associated Infections and Antimictobial Resistance at Imperial College London

Optimal Linear Multiparty Conditional Disclosure of Secrets Protocols

In a $k$-party CDS protocol, each party sends one message to a referee (without seeing the other messages) such that the referee will learn a secret held by the parties if and only if the inputs of the parties satisfy some condition (e.g., if the inputs are all equal). This simple primitive is used to construct attribute based encryption, symmetrically-private information retrieval, priced oblivious transfer, and secret-sharing schemes for any access structure. Motivated by these applications, CDS protocols have been recently studied in many papers. In this work, we study linear CDS protocols, where each of the messages of the parties is a linear function of the secret and random elements taken from some finite field. Linearity is an important property of CDS protocols as many applications of CDS protocols required it. Our main result is a construction of linear $k$-party CDS protocols for an arbitrary function $f:[N]^{k}\rightarrow \{0,1\}$ with messages of size $O(N^{(k-1)/2})$. By a lower bound of Beimel et al. [TCC 2017], this message size is optimal. We also consider functions with few inputs that return one, and design more efficient CDS protocols for them. CDS protocols can be used to construct secret-sharing schemes for uniform access structures, where for some $k$ all sets of size less than $k$ are unauthorized, all sets of size greater than $k$ are authorized, and each set of size $k$ can be either authorized or unauthorized. We show that our results imply that every $k$-uniform access structure with $n$ parties can be realized by a linear secret-sharing scheme with share size $\min\{ (O(n/k))^{(k-1)/2},O(n \cdot 2^{n/2})\}$. Furthermore, the linear $k$-party CDS protocol with messages of size $O(N^{(k-1)/2})$ was recently used by Liu and Vaikuntanathan [STOC 2018] to construct a linear secret-sharing scheme with share size $O(2^{0.999n})$ for any $n$-party access structure

The role of cognitive emotion regulation on the vicarious emotional response

Perceiving another in need may provoke two possible emotional responses: empathic concern and personal distress. This research aims to test whether different emotion regulation strategies (i.e., reappraisal and rumination) may lead to different vicarious emotional responses (i.e., empathic concern and personal distress). In this sense, we hypothesized that reappraisal may lead to a greater feeling of empathic concern, whereas rumination may lead to a higher feeling of personal distress. To test the hypotheses we used experimental instructions (Study 1) and a priming procedure (Study 2) to manipulate the emotion regulation strategies. The results supported our hypotheses. Furthermore in the rumination condition the emotional experience was described as being more negative and more highly arousing than in the reappraisal condition. We discuss the effect of these two forms of cognitive emotion regulation on empathic concern and personal distress

A Shuffle Argument Secure in the Generic Model

We propose a new random oracle-less NIZK shuffle argument. It has a simple structure, where the first verification equation ascertains that the prover has committed to a permutation matrix, the second verification equation ascertains that the same permutation was used to permute the ciphertexts, and the third verification equation ascertains that input ciphertexts were ``correctly\u27\u27 formed. The new argument has $3.5$ times more efficient verification than the up-to-now most efficient shuffle argument by Fauzi and Lipmaa (CT-RSA 2016). Compared to the Fauzi-Lipmaa shuffle argument, we (i) remove the use of knowledge assumptions and prove our scheme is sound in the generic bilinear group model, and (ii) prove standard soundness, instead of culpable soundness