The relationship between EFQM levels of excellence and CSR development

Purpose The purpose of this paper is to analyse the level of corporate social responsibility (CSR) development, in accordance with the dimensions of Maon et al.’s (2010) model, which could be achieved when organisations adopt the EFQM model, as well as how the EFQM model can foster this CSR development. Design/methodology/approach The research method chosen was a qualitative methodology involving multiple case studies. The empirical research relies on an in-depth study of four cases of organisations recognised by the EFQM model in Spain. Findings The findings show that, although a higher commitment to the EFQM model implies a greater level of CSR development, with the knowledge and attitudinal dimensions more developed than others, organisations still have to make CSR an internalised management ideology. Research limitations/implications The very nature of the process of EFQM assessment does not ensure uniformity in all aspects of management. Limitations that are inherent to case studies: factors that can be chosen by the researcher, such as geographical location, size, sector and ownership, can have an influence on the characteristics of the CSR practices that are found. Practical implications This study contributes to the literature on excellence by approaching the EFQM model as a tool to integrate CSR issues into management. Social implications A relationship between commitment to excellence and CSR development does exist. Originality/value To the best of the authors’ knowledge, no previous analysis has been performed to address the potential relationship between CSR development in accordance with Maon et al.’s (2010) model and commitment to excellence

Genetic assessment of population restorations of the critically endangered Silene hifacensis in the Iberian Peninsula

In order to preserve endangered plant populations and recover their evolutionary potential and ecological behavior, some restoration measures generally involve the reinforcement of the population size in existing natural populations or the reintroduction of new populations. Genetic monitoring of both natural and restored populations can provide an assessment of restoration protocol success in establishing populations that maintain levels of genetic diversity similar to those in natural populations. The highly threatened Spanish species Silene hifacensis (Caryophyllaceae) has only three natural reduced mainland populations in the Iberian Peninsula, following decline and extinction that occurred during the late 20th century. Preterit restoration strategies were essentially based on the implantation of new populations and reinforcement of certain existing populations using transplants mostly cultivated in greenhouses. In the present contribution, levels and patterns of genetic variability within natural and restored populations of Silene hifacensis were assessed using the molecular technique AFLP. Our results pointed out significant genetic diversity differences across the three existing natural populations though their population fragmentation and progressive loss of individuals have not had an impact on the global genetic diversity of this species. For restored populations, their levels of genetic diversity were similar and even higher than in natural populations. As a result, the past restoration protocols were successful in capturing similar and even higher levels of genetic diversity than those observed within natural pools. However, inbreeding processes have been detected for two restored populations. Finally, the main source of plant material for the long-time restored transplants appears to be the natural population of Cova de les Cendres. This study demonstrates, once again, how genetic markers are useful tools to be taken in consideration for endangered plant species conservation plans.Work was supported by the project CONSELLERIATERRITORIO4-06i (Conselleria de Territori i Habitage, Generalitat Valenciana)

Influence of Directional Sound Cues on Users'' Exploration across 360° Movie Cuts

Virtual reality (VR) is a powerful medium for 360° 360 storytelling, yet content creators are still in the process of developing cinematographic rules for effectively communicating stories in VR. Traditional cinematography has relied for over a century on well-established techniques for editing, and one of the most recurrent resources for this are cinematic cuts that allow content creators to seamlessly transition between scenes. One fundamental assumption of these techniques is that the content creator can control the camera; however, this assumption breaks in VR: Users are free to explore 360° 360 around them. Recent works have studied the effectiveness of different cuts in 360° 360 content, but the effect of directional sound cues while experiencing these cuts has been less explored. In this work, we provide the first systematic analysis of the influence of directional sound cues in users'' behavior across 360° 360 movie cuts, providing insights that can have an impact on deriving conventions for VR storytelling. © 1981-2012 IEEE

Regulatory network analysis in estradiol-treated human endothelial cells.

Background/Aims: Estrogen has been reported to have beneficial effects on vascular biology through direct actions on endothelium. Together with transcription factors, miRNAs are the major drivers of gene expression and signaling networks. The objective of this study was to identify a com-prehensive regulatory network (miRNA-transcription factor-downstream genes) that controls the transcriptomic changes observed in endothelial cells exposed to estradiol. Methods: miR-NA/mRNA interactions were assembled using our previous microarray data of human umbilical vein endothelial cells (HUVEC) treated with 17ß- Estradiol (E2) (1 nmol/lL, 24 h). miRNA--mRNA pairings and their associated canonical pathways were determined using Ingenuity Pathway Analysis software. Transcription factors were identified among the miR-NA-regulated genes. Transcription factor downstream target genes were predicted by consensus transcription factor binding sites in the promoter region of E2-regulated genes by using JASPAR and TRANSFAC tools in Enrichr software. Results: miRNA--target pairings were filtered by using differentially expressed miRNAs and mRNAs characterized by a regulatory relationship accord-ing to miRNA target prediction databases. The analysis identified 588 miRNA--target interactions between 102 miRNAs and 588 targets. Specifically, 63 up-regregulated miRNAs interacted with 295 down-regregulated targets, while 39 down-regregulated miRNAs were paired with 293 up-regregulated mRNA targets. Functional characterization of miRNA/mRNA association analy-sis highlighted hypoxia signallignaling, integrin, ephrin receptor signaling, and regulation of actin-based motility by Rho among the canonical pathways regulated by E2 in HUVEC. Tran-scription factors and downstream genes analysis revealed a total of eight networks, including those mediated by JUN and REPIN1, which are associated with cadherin binding and cell adhe-sion molecule binding pathways. Conclusion: This study identifies regulatory networks obtained by integrative microarray analysis and provides additional insights into the way estradiol could regulate endothelial function in human endothelial cells

Detection and identification methods and new tests as developed and used in the framework of cost 873 for bacteria pathogenic to stone fruits and nuts

Xanthomonas arboricola pv. pruni (Xap), the causal agent of bacterial spot disease of stone fruits and almond, is regulated as a quarantine pathogen in the European Union and the European and Mediterranean Plant Protection Organization (EPPO). Xap can have an epiphytic phase and/or be latent and, consequently, it can be transmitted by different types of plant material. Effective quarantine measures require specific, sensitive and rapid methods to detect Xap in propagative material or new reservoirs. Laborious and time-consuming methods for the diagnosis of Xap are recommended in the current EPPO standard protocol. However, new several pathogen-specific PCR and quantitative realtime PCR assays have been developed that enable direct detection of Xap in symptomatic and symptomless plant samples. A concise resource of current methods for Xap detection and identification, based on assessment and development activities within the framework of COST 873, is presented

Performance mutation testing

Performance bugs are known to be a major threat to the success of software products. Performance tests aim to detect performance bugs by executing the program through test cases and checking whether it exhibits a noticeable performance degradation. The principles of mutation testing, a well-established testing technique for the assessment of test suites through the injection of artificial faults, could be exploited to evaluate and improve the detection power of performance tests. However, the application of mutation testing to assess performance tests, henceforth called performance mutation testing (PMT), is a novel research topic with numerous open challenges. In previous papers, we identified some key challenges related to PMT. In this work, we go a step further and explore the feasibility of applying PMT at the source-code level in general-purpose languages. To do so, we revisit concepts associated with classical mutation testing, and design seven novel mutation operators to model known bug-inducing patterns. As a proof of concept, we applied traditional mutation operators as well as performance mutation operators to open-source C++ programs. The results reveal the potential of the new performance-mutants to help assess and enhance performance tests when compared to traditional mutants. A review of live mutants in these programs suggests that they can induce the design of special test inputs. In addition to these promising results, our work brings a whole new set of challenges related to PMT, which will hopefully serve as a starting point for new contributions in the area

Performance mutation testing: Hypothesis and open questions

Performance bugs are common, costly, and elusive. Performance tests aim to detect performance bugs by running the program with specific inputs and determining whether the observed behaviour is acceptable. There not exist mechanisms, however, to assess the effectiveness of performance tests. Mutation testing is a technique to evaluate and enhance functional test suites by seeding artificial faults in the program under test. In this new idea paper, we explore the applicability of mutation testing to assess and improve performance tests. This novel approach is motivated with examples and open questions

TANDEM: A Taxonomy and a Dataset of Real-World Performance Bugs

The detection of performance bugs, like those causing an unexpected execution time, has gained much attention in the last years due to their potential impact in safety-critical and resource-constrained applications. Much effort has been put on trying to understand the nature of performance bugs in different domains as a starting point for the development of effective testing techniques. However, the lack of a widely accepted classification scheme of performance faults and, more importantly, the lack of well-documented and understandable datasets makes it difficult to draw rigorous and verifiable conclusions widely accepted by the community. In this paper, we present TANDEM, a dual contribution related to real-world performance bugs. Firstly, we propose a taxonomy of performance bugs based on a thorough systematic review of the related literature, divided into three main categories: effects, causes and contexts of bugs. Secondly, we provide a complete collection of fully documented real-world performance bugs. Together, these contributions pave the way for the development of stronger and reproducible research results on performance testing