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Particulate matter (PM) is one of the key pollutants causing health risks worldwide. While the preoccupation for increased concentrations of these particles mainly depends on their sources and thus chemical composition, some regions are yet not well investigated. In this work the composition of chemical elements of atmospheric PM 10 (particles with aerodynamic diameters ≤ 10 µm), collected at the urban and suburban sites in high elevation tropical city, were chemically analysed during the dry and wet seasons of 2017-2018. A large fraction (~ 68%) of PM 10 composition in Quito, Ecuador is accounted for by water-soluble ions and 16 elements analysed using UV/VIS spectrophotometer and Inductively Coupled Plasma-Optical Emission Spectroscopy (ICP-OES). Hierarchical clustering analysis was performed to study a correlation between the chemical composition of urban pollution and meteorological parameters. The suburban area displays an increase in PM 10 concentrations and natural elemental markers during the dry (increased wind intensity, resuspension of soil dust) season. Meanwhile, densely urbanized area shows increased total PM 10 concentrations and anthropogenic elemental markers during the wet season, which may point to the worsened combustion and traffic conditions. This might indicate the prevalence of cardiovascular and respiratory problems in motorized areas of the cities in the developing world.

Purpose Despite its volume, the academic research on the impact of electronic word of mouth (eWOM) on tourism and hospitality consumer behaviour is fragmented and largely limited to investigating a small scope of its impact. The purpose of this paper is to bridge this gap by synthesising the existing literature, providing a conceptual framework for the various dimensions of this impact. Design/methodology/approach This paper is based on the meta-synthesis and a critical conceptual analysis of relevant academic literature identified using a keyword search of papers via the Web of Science and Scopus databases, followed by a snowballing process comprising tracking the citations to the resources referred to in the identified papers. Findings This conceptual analysis illustrates how the full spectrum of the impact of eWOM on tourist behaviour spans well beyond the limited scope traditionally focussed on by tourism and hospitality researchers. This scope, encompassing multiple cognitive, normative and affective dimensions, is illustrated in an evidence-based conceptual framework proposed in this paper, providing a systematic tool to identify the less-studied aspects of this important phenomenon. Originality/value This paper synthesises the large and fragmented body of literature on eWOM and proposes a novel conceptual framework, illustrating the vast scope of the various cognitive, affective and normative mechanisms through which eWOM affects consumers’ choice of tourism and hospitality products. Furthermore, this paper provides a synthesis of the state-of-the-art of research in this field, highlights the existing gaps and provides researchers with a systematic tool to identify pathways towards breaking the status-quo in progressing beyond the current boundaries of academic research in this field. 游客感知对清真旅游目的地的影响：结构模型分析 目的 尽管有大量研究, 但有关网络口碑eWOM对旅游业和酒店业消费者行为的影响的学术研究仍是零散的, 并且在很大程度上只限于调查其影响的一小部分。本文的目的是通过综合现有文献来弥合这种差距, 为这种影响的各个方面提供概念框架。 设计/方法/方法 本文基于元合成法和对相关学术文献的关键性, 概念性分析。这些文献是通过Web of Science和Scopus数据库对文章进行关键字搜索而确定的。随后是滚雪球式搜索过程, 该过程包括跟踪对已识别文章中引用的资源的引用。 结果 这项概念分析阐述了eWOM对游客行为的影响范围如何远远超出了旅游和酒店业研究人员传统上关注的有限范围。这一范围是基于有理论依据的的概念框架提出的, 并涵盖多个认知, 规范和情感的维度。此范围为识别这一重要且缺乏研究的现象提供了系统的工具。 创意/价值 本文综合了有关eWOM的大量零散文献, 并提出了一个新颖的概念框架, 阐明了eWOM影响消费者选择旅游和酒店产品的各种认知, 情感和规范机制的范围。此外, 本文提供了该领域最新的研究综述, 突出了现有的差距, 并为研究人员提供了系统的识别打破现状的途径, 以超越当前学术界在这个领域的研究局限。 关键词 关键字 电子口碑, eWOM, WOM, 酒店, 旅游, 口碑 文章类型 研究论文 El Boca a Boca Electrónico en el Comportamiento del Consumidor Turístico y Hotelero: Estado del Arte Objetivo A pesar del gran volumen de investigación académica sobre el impacto de eWOM en el comportamiento del consumidor turístico y hotelero, esta se encuentra fragmentada y en gran medida se limita a investigar un pequeño alcance de su impacto. El propósito de este artículo, es cerrar esta brecha sintetizando la literatura existente y proporcionando un marco conceptual para las diversas dimensiones de este impacto. Diseño/metodología/enfoque Este documento se basa en un análisis metasíntesis crítico y conceptual de la literatura relevante académica identificada, mediante una búsqueda de artículos por palabras claves a través de las bases de datos de Web of Science y Scopus, seguido de un proceso de “bola de nieve” que comprende el seguimiento de las citas de los recursos mencionados en los artículos identificados. Resultados Este análisis conceptual, ilustra cómo el espectro total del impacto de eWOM en el comportamiento turístico se extiende mucho más allá del limitado alcance que tradicionalmente han realizado investigadores del turismo y hoteles. Este nuevo alcance, que abarca múltiples dimensiones cognitivas, normativas y afectivas, se ilustra en un marco conceptual basado en la evidencia propuesta en este documento, que proporciona una herramienta sistemática para identificar los aspectos menos estudiados de este importante fenómeno. Originalidad/valor Este documento sintetiza la gran cantidad de literatura fragmentada sobre eWOM y propone un marco conceptual novedoso, que ilustra el amplio alcance de los diversos mecanismos cognitivos, afectivos y normativos a través de los cuales eWOM afecta la elección de los consumidores de productos turísticos y hoteleros. Además, este documento proporciona una síntesis del estado de la investigación en este campo, destaca las brechas existentes y brinda a los investigadores una herramienta sistemática para identificar vías para romper el statu quo en el progreso más allá de los límites académicos actuales en este campo. Palabras clave Boca a boca electrónica, eWOM, WOM, Industria hoteleram, Turismo, Boca a boca Tipo de papel – Trabajo de investigación

Most firms do not grow, and a small number of high-growth firms seem to create most new jobs. These firms have therefore received increasing attention among policymakers. The question is whether high-growth tends to persist? We investigate this question using firm-level data from Sweden during 1997-2008. We find that high-growth firms had declining growth rates in the previous 3-year period, and their probability of repeating high growth rates was very low. Thus, these are essentially \"onehit wonders,\" and it is doubtful whether policymakers can improve economic outcomes by targeting them.

Notions of what a successful academic should be doing - researching, publishing, teaching, serving the academic community - are often dependent upon particular practices of corporeal mobilities. These practices discursively and materially connect historically situated academic mobilities with the \"modern,\" globalised university system. At the same time, there is increasing attention being paid to the \"hypocrisy of hypermobile academics\" - often reliant on high-carbon aeromobilities - in light of the unprecedented and urgent need to decarbonise transport to limit warming to 1.5°C. Using qualitative material gathered from one academic institution in Aotearoa New Zealand, we pay attention to the politics of academic mobilities at multiple scales, from the academic body, to social/family networks, and institutional rhythms. We contribute to the growing body of work that reflects on academic practice, and argue that detailed understandings of these processes are required to overcome the so-called \"climate hypocrisy\" of high-carbon academic work-related travel.

To meet the expanding land use required for wind energy development, a better understanding of the effects on terrestrial animals’ responses to such development is required. Using GPS‐data from 50 freely ranging female reindeer (Rangifer tarandus) in the Malå reindeer herding community, Sweden, we determined reindeer calving sites and estimated reindeer habitat selection using resource selection functions (RSF). RSFs were estimated at both second‐ (selection of home range) and third‐order (selection within home range) scale in relation to environmental variables, wind farm (WF) development phase (before construction, construction, and operation), distance to the WFs and at the second‐order scale whether the wind turbines were in or out of sight of the reindeer. We found that the distance between reindeer calving site and WFs increased during the operation phase, compared to before construction. At both scales of selection, we found a significant decrease in habitat selection of areas in proximity of the WFs, in the same comparison. The results also revealed a shift in home range selection away from habitats where wind turbines became visible toward habitats where the wind turbines were obscured by topography (increase in use by 79% at 5 km). We interpret the reindeer shift in home range selection as an effect of the wind turbines per se. Using topography and land cover information together with the positions of wind turbines could therefore help identify sensitive habitats for reindeer and improve the planning and placement of WFs. In addition, we found that operation phase of these WFs had a stronger adverse impact on reindeer habitat selection than the construction phase. Thus, the continuous running of the wind turbines making a sound both day and night seemed to have disturbed the reindeer more than the sudden sounds and increased human activity during construction work. Using GPS‐data from 50 freely ranging female reindeer (Rangifer tarandus) we defined reindeer calving sites and estimated their habitat selection using resource selection functions, before, during and after a wind farm (WF) development. We revealed a shift in reindeer habitat selection, away from habitats where wind turbines became visible towards habitats where the wind turbines were obscured by topography, and that the distance of reindeer calving site to WFs increased during operation of the WFs. In addition, we found that operation phase of these WFs had a stronger adverse impact on reindeer habitat selection than the construction phase.

The phenotypic effect of a gene is normally described by the mean-difference between alternative genotypes. A gene may, however, also influence the phenotype by causing a difference in variance between genotypes. Here, we reanalyze a publicly available Arabidopsis thaliana dataset [1] and show that genetic variance heterogeneity appears to be as common as normal additive effects on a genomewide scale. The study also develops theory to estimate the contributions of variance differences between genotypes to the phenotypic variance, and this is used to show that individual loci can explain more than 20% of the phenotypic variance. Two well-studied systems, cellular control of molybdenum level by the ion-transporter MOT1 and flowering-time regulation by the FRI-FLC expression network, and a novel association for Leaf serration are used to illustrate the contribution of major individual loci, expression pathways, and gene-by-environment interactions to the genetic variance heterogeneity.

The public goods game is a famous example illustrating the tragedy of the commons (Hardin in Science 162:1243–1248, 1968). In this game cooperating individuals contribute to a pool, which in turn is distributed to all members of the group, including defectors who reap the same rewards as cooperators without having made a contribution before. The question is now, how to incentivize group members to all cooperate as it maximizes the common good. While costly punishment (Helbing et al. in New J Phys 12:083005, 2010) presents one such method, the cost of punishment still reduces the common good. The selfishness of the group members favors defectors. Here we show that including other members of the groups and sharing rewards with them can be another incentive for cooperation, avoiding the cost required for punishment. Further, we show how punishment and this form of inclusiveness interact. This work suggests that a redistribution similar to a basic income that is coupled to the economic success of the entire group could overcome the tragedy of the commons.

Understanding the genetic basis of traits involved in adaptation is a major challenge in evolutionary biology but remains poorly understood. Here, we use genome-wide association mapping using a custom 50 k single nucleotide polymorphism (SNP) array in a natural population of collared flycatchers to examine the genetic basis of clutch size, an important life-history trait in many animal species. We found evidence for an association on chromosome 18 where one SNP significant at the genome-wide level explained 3.9% of the phenotypic variance. We also detected two suggestive quantitative trait loci (QTLs) on chromosomes 9 and 26. Fitness differences among genotypes were generally weak and not significant, although there was some indication of a sex-by-genotype interaction for lifetime reproductive success at the suggestive QTL on chromosome 26. This implies that sexual antagonism may play a role in maintaining genetic variation at this QTL. Our findings provide candidate regions for a classic avian life-history trait that will be useful for future studies examining the molecular and cellular function of, as well as evolutionary mechanisms operating at, these loci.

As the molecular marker density grows, there is a strong need in both genome-wide association studies and genomic selection to fit models with a large number of parameters. Here we present a computationally efficient generalized ridge regression (RR) algorithm for situations in which the number of parameters largely exceeds the number of observations. The computationally demanding parts of the method depend mainly on the number of observations and not the number of parameters. The algorithm was implemented in the R package bigRR based on the previously developed package hglm. Using such an approach, a heteroscedastic effects model (HEM) was also developed, implemented, and tested. The efficiency for different data sizes were evaluated via simulation. The method was tested for a bacteria-hypersensitive trait in a publicly available Arabidopsis data set including 84 inbred lines and 216,130 SNPs. The computation of all the SNP effects required <10 sec using a single 2.7-GHz core. The advantage in run time makes permutation test feasible for such a whole-genome model, so that a genome-wide significance threshold can be obtained. HEM was found to be more robust than ordinary RR (a.k.a. SNP-best linear unbiased prediction) in terms of QTL mapping, because SNP-specific shrinkage was applied instead of a common shrinkage. The proposed algorithm was also assessed for genomic evaluation and was shown to give better predictions than ordinary RR.