6,882 research outputs found

    Fairness Testing: A Comprehensive Survey and Analysis of Trends

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    Unfair behaviors of Machine Learning (ML) software have garnered increasing attention and concern among software engineers. To tackle this issue, extensive research has been dedicated to conducting fairness testing of ML software, and this paper offers a comprehensive survey of existing studies in this field. We collect 100 papers and organize them based on the testing workflow (i.e., how to test) and testing components (i.e., what to test). Furthermore, we analyze the research focus, trends, and promising directions in the realm of fairness testing. We also identify widely-adopted datasets and open-source tools for fairness testing

    Multitenant Containers as a Service (CaaS) for Clouds and Edge Clouds

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    Cloud computing, offering on-demand access to computing resources through the Internet and the pay-as-you-go model, has marked the last decade with its three main service models; Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The lightweight nature of containers compared to virtual machines has led to the rapid uptake of another in recent years, called Containers as a Service (CaaS), which falls between IaaS and PaaS regarding control abstraction. However, when CaaS is offered to multiple independent users, or tenants, a multi-instance approach is used, in which each tenant receives its own separate cluster, which reimposes significant overhead due to employing virtual machines for isolation. If CaaS is to be offered not just at the cloud, but also at the edge cloud, where resources are limited, another solution is required. We introduce a native CaaS multitenancy framework, meaning that tenants share a cluster, which is more efficient than the one tenant per cluster model. Whenever there are shared resources, isolation of multitenant workloads is an issue. Such workloads can be isolated by Kata Containers today. Besides, our framework esteems the application requirements that compel complete isolation and a fully customized environment. Node-level slicing empowers tenants to programmatically reserve isolated subclusters where they can choose the container runtime that suits application needs. The framework is publicly available as liberally-licensed, free, open-source software that extends Kubernetes, the de facto standard container orchestration system. It is in production use within the EdgeNet testbed for researchers

    Intelligent computing : the latest advances, challenges and future

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    Computing is a critical driving force in the development of human civilization. In recent years, we have witnessed the emergence of intelligent computing, a new computing paradigm that is reshaping traditional computing and promoting digital revolution in the era of big data, artificial intelligence and internet-of-things with new computing theories, architectures, methods, systems, and applications. Intelligent computing has greatly broadened the scope of computing, extending it from traditional computing on data to increasingly diverse computing paradigms such as perceptual intelligence, cognitive intelligence, autonomous intelligence, and human computer fusion intelligence. Intelligence and computing have undergone paths of different evolution and development for a long time but have become increasingly intertwined in recent years: intelligent computing is not only intelligence-oriented but also intelligence-driven. Such cross-fertilization has prompted the emergence and rapid advancement of intelligent computing

    Ab Initio Language Teaching in British Higher Education

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    Drawing extensively on the expertise of teachers of German in universities across the UK, this volume offers an overview of recent trends, new pedagogical approaches and practical guidance for teaching at beginners level in the higher education classroom. At a time when entries for UK school exams in modern foreign languages are decreasing, this book serves the urgent need for research and guidance on ab initio learning and teaching in HE. Using the example of teaching German, it offers theoretical reflections on teaching ab initio and practice-oriented approaches that will be useful for teachers of both German and other languages in higher education. The first chapters assess the role of ab initio provision within the wider context of modern languages departments and language centres. They are followed by sections on teaching methods and innovative approaches in the ab initio classroom that include chapters on the use of music, textbook evaluation, the effective use of a flipped classroom and the contribution of language apps. Finally, the book focuses on the learner in the ab initio context and explores issues around autonomy and learner strengths. The whole builds into a theoretically grounded guide that sketches out perspectives for teaching and learning ab initio languages that will benefit current and future generations of students

    Cultivating Collaboration: Optimizing Communication Between Designers and Non-Designers

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    Clients and designers, having different tacit knowledge, fail to effectively communicate with each other during the design process. These inadequacies risk relationships, reputations, and project success. This issue has long been recognized in the field of design, often as a concern with client involvement. This research aims to identify these complications in the design process and inform how they might be amended. Specifically, it investigates how the relationship between designers and clients can be improved in order to garner better communication and greater project success. In this context, clients are defined as non-designers that commission design professionals. A literature review as well as several case studies and visual analyses conclude that collaboration, empathy, and project structure improve communication and project outcomes. These findings will inform a proposed visual solution that aims to provide knowledge and structure to client-designer partnerships in order to facilitate these benefits

    Towards a framework for the study of ongoing socio-technical transitions: explored through the UK self-driving car paradigm

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    The UK government set out to see self-driving cars on roads by 2021. The idea of a self-driving car has been around for almost a century, and more recent technological developments have made self-driving cars a real-life possibility. While a fully self-driving automobility system is some distance away, real-life testing is bringing autonomous driving closer to consumers. Some claim this to be the biggest disruption to mobility systems since the invention of the car. Claims about the potential of self-driving mobility range from economic and social benefits to environmental improvements. A significant ambiguity however remains concerning how they will be deployed and how the technological innovation will affect mobility aims and related transport and infrastructure systems. So far, the vast majority of studies on AVs have focused on the technology aspect of this transition lacking contributions that address this from a broader socio-technical perspective. With the accelerated adoption of new technologies, Sustainability Transitions has come to prominence as a research area that seeks to understand and guide socio-technical transitions toward sustainable trajectories. Socio-technical transitions theoretical framework has been used to understand historical transitions in the majority of empirical applications. The ability to apply the same framework to ongoing transitions and to guide these towards sustainable outcomes remains unsubstantiated. To address this gap this thesis examines the foundations of multi-level perspective (MLP) – a socio-technical transitions analytical framework – and develops an analytical framework (SRPM – System Rules Pathways Mechanisms) that is appropriate for the study of ongoing transitions. The refocused framework incorporates critical realism to focus analysis on causation and causal mechanisms. It is used to analyse the ongoing socio-technical transition to self-driving cars in the UK through a four-step analytical process. The study is framed as a case-based process mechanism study. The four steps are: i) contextualisation of the ongoing transition to AVs in the UK as a socio-technical transition based on the MLP theoretical framework; ii) identification of internal and external structural relations within the transition through the notion of rules and the morphogenetic cycle; iii) aligning observed processes with transition pathways to theorise about the trajectories of the transition; iv) identification of causal mechanisms in the observed processes through identification of demi-regularities through data analysis of grey literature and theorisation about mechanisms through the development of mechanism sketches and schemata. The thesis makes two contributions to knowledge: i) methodological and ii) empirical. The methodological contribution is the development of the SRPM analytical framework to study an ongoing socio-technical transition, and the empirical contribution is the application of this framework to the study of the ongoing transition to driverless cars in the UK

    Using collections to explore the evolution of plant associated lifestyles in the Ascomycota

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    The Ascomycota form the largest phylum in the fungal kingdom and show a wide diversity of lifestyles, some involving beneficial or harmful associations with plants. Distinguishing between fungal endophytes – species which live asymptomatically in plant tissues – and plant pathogens is of major significance to economic and ecological issues relating to plant health. Evolutionary genomics methods can provide insight into the genetic determinants of these lifestyles, and collections can act as an invaluable source of material to enable such analyses. As endophytes are comparatively poorly studied, comparing plant associated lifestyles in the Ascomycota first requires novel endophyte discovery. In this thesis, I have demonstrated the unexplored promise of Kew’s Millennium Seed Bank for isolating viable fungal endophytes and, in the process, highlighted the potential issues of overlooking the seed microbiome in the seed banking practice. I then performed whole genome sequencing, assembly and annotation of novel endophytic Fusarium strains for a case-study exploring lifestyle evolution in the genus. The distribution of lifestyles across the phylogeny; similarity of gene repertoires; and patterns of codon optimisation suggested that Fusarium taxa have a shared capacity for pathogenicity/endophytism. Exploring to what extent these results are common to different lineages of the Ascomycota requires the generation of new genomic resources for endophytes at large. Consequently, I sequenced, assembled and annotated genomes for a further 15 endophyte strains from CABI’s collections, which spanned 8 families and 5 orders and additionally represent the first assembly for the genus and/or species for 7 of the strains. Together, this thesis demonstrates the value of existing plant and fungal collections for producing material and data to explore the pathogenic-mutualistic spectrum in plant associated ascomycetes

    Building data management capabilities to address data protection regulations: Learnings from EU-GDPR

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    The European Union’s General Data Protection Regulation (EU-GDPR) has initiated a paradigm shift in data protection toward greater choice and sovereignty for individuals and more accountability for organizations. Its strict rules have inspired data protection regulations in other parts of the world. However, many organizations are facing difficulty complying with the EU-GDPR: these new types of data protection regulations cannot be addressed by an adaptation of contractual frameworks, but require a fundamental reconceptualization of how companies store and process personal data on an enterprise-wide level. In this paper, we introduce the resource-based view as a theoretical lens to explain the lengthy trajectories towards compliance and argue that these regulations require companies to build dedicated, enterprise-wide data management capabilities. Following a design science research approach, we propose a theoretically and empirically grounded capability model for the EU-GDPR that integrates the interpretation of legal texts, findings from EU-GDPR-related publications, and practical insights from focus groups with experts from 22 companies and four EU-GDPR projects. Our study advances interdisciplinary research at the intersection between IS and law: First, the proposed capability model adds to the regulatory compliance management literature by connecting abstract compliance requirements to three groups of capabilities and the resources required for their implementation, and second, it provides an enterprise-wide perspective that integrates and extends the fragmented body of research on EU-GDPR. Practitioners may use the capability model to assess their current status and set up systematic approaches toward compliance with an increasing number of data protection regulations
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