691 research outputs found

    LIPIcs, Volume 251, ITCS 2023, Complete Volume

    Get PDF
    LIPIcs, Volume 251, ITCS 2023, Complete Volum

    Workshop Proceedings of the 12th edition of the KONVENS conference

    Get PDF
    The 2014 issue of KONVENS is even more a forum for exchange: its main topic is the interaction between Computational Linguistics and Information Science, and the synergies such interaction, cooperation and integrated views can produce. This topic at the crossroads of different research traditions which deal with natural language as a container of knowledge, and with methods to extract and manage knowledge that is linguistically represented is close to the heart of many researchers at the Institut für Informationswissenschaft und Sprachtechnologie of Universität Hildesheim: it has long been one of the institute’s research topics, and it has received even more attention over the last few years

    Digital agriculture: research, development and innovation in production chains.

    Get PDF
    Digital transformation in the field towards sustainable and smart agriculture. Digital agriculture: definitions and technologies. Agroenvironmental modeling and the digital transformation of agriculture. Geotechnologies in digital agriculture. Scientific computing in agriculture. Computer vision applied to agriculture. Technologies developed in precision agriculture. Information engineering: contributions to digital agriculture. DIPN: a dictionary of the internal proteins nanoenvironments and their potential for transformation into agricultural assets. Applications of bioinformatics in agriculture. Genomics applied to climate change: biotechnology for digital agriculture. Innovation ecosystem in agriculture: Embrapa?s evolution and contributions. The law related to the digitization of agriculture. Innovating communication in the age of digital agriculture. Driving forces for Brazilian agriculture in the next decade: implications for digital agriculture. Challenges, trends and opportunities in digital agriculture in Brazil

    Control and Archaism

    Get PDF
    The presentation will delve into the relationship between control society and archaism. Deleuze’s conceptualization of control implies the reconfiguration of former spaces of discipline. While the Foucauldian model of discipline was characterized by enclosed spaces (such as prisons, armies, and churches), Deleuze’s notion of control highlights a continuous network where individuals are no longer molded but modulated. This prompts us to ponder the shift in the temporal structure that occurs during the transition from a disciplinary society to one governed by control. Specifically, this presentation aims to explore the disparities in our historical perspectives when viewed from disciplinary and control paradigms. In this context, I will explore Deleuze and Guattari's concept of ‘archaism’. According to Deleuze and Guattari, archaism is an inherent aspect of capitalism, its continual endeavor to reconstruct territoriality and replicate antiquated coding patterns. Capitalism necessitates archaism due to its lack of inherent belief structures. In essence, the system, which the duo name the ‘age of cynicism’, requires the revival of old codes to sustain its systems of subjugation and dominance. As my presentation will demonstrate, one can discern a transformation in the evolution of archaism as society shifts from discipline to control. By comparing the fascist archaism of the thirties in Germany and the archaism of contemporary alt-right movements, I will show that a disciplinary society presupposes a more centralized form of archaism, which is highly susceptible to state control and deeply ingrained in the institutional fabric of social life. Conversely, a control society implies a diversification and creativity in archaic attitudes, hinting at its potential for emancipation—a viewpoint emphasized by Deleuze and Guattari themselves in ’Anti-Oedipus’

    Measuring the impact of COVID-19 on hospital care pathways

    Get PDF
    Care pathways in hospitals around the world reported significant disruption during the recent COVID-19 pandemic but measuring the actual impact is more problematic. Process mining can be useful for hospital management to measure the conformance of real-life care to what might be considered normal operations. In this study, we aim to demonstrate that process mining can be used to investigate process changes associated with complex disruptive events. We studied perturbations to accident and emergency (A &E) and maternity pathways in a UK public hospital during the COVID-19 pandemic. Co-incidentally the hospital had implemented a Command Centre approach for patient-flow management affording an opportunity to study both the planned improvement and the disruption due to the pandemic. Our study proposes and demonstrates a method for measuring and investigating the impact of such planned and unplanned disruptions affecting hospital care pathways. We found that during the pandemic, both A &E and maternity pathways had measurable reductions in the mean length of stay and a measurable drop in the percentage of pathways conforming to normative models. There were no distinctive patterns of monthly mean values of length of stay nor conformance throughout the phases of the installation of the hospital’s new Command Centre approach. Due to a deficit in the available A &E data, the findings for A &E pathways could not be interpreted

    Towards an Unsupervised Bayesian Network Pipeline for Explainable Prediction, Decision Making and Discovery

    Full text link
    An unsupervised learning pipeline for discrete Bayesian networks is proposed to facilitate prediction, decision making, discovery of patterns, and transparency in challenging real-world AI applications, and contend with data limitations. We explore methods for discretizing data, and notably apply the pipeline to prediction and prevention of preterm birth

    Resilient and Scalable Forwarding for Software-Defined Networks with P4-Programmable Switches

    Get PDF
    Traditional networking devices support only fixed features and limited configurability. Network softwarization leverages programmable software and hardware platforms to remove those limitations. In this context the concept of programmable data planes allows directly to program the packet processing pipeline of networking devices and create custom control plane algorithms. This flexibility enables the design of novel networking mechanisms where the status quo struggles to meet high demands of next-generation networks like 5G, Internet of Things, cloud computing, and industry 4.0. P4 is the most popular technology to implement programmable data planes. However, programmable data planes, and in particular, the P4 technology, emerged only recently. Thus, P4 support for some well-established networking concepts is still lacking and several issues remain unsolved due to the different characteristics of programmable data planes in comparison to traditional networking. The research of this thesis focuses on two open issues of programmable data planes. First, it develops resilient and efficient forwarding mechanisms for the P4 data plane as there are no satisfying state of the art best practices yet. Second, it enables BIER in high-performance P4 data planes. BIER is a novel, scalable, and efficient transport mechanism for IP multicast traffic which has only very limited support of high-performance forwarding platforms yet. The main results of this thesis are published as 8 peer-reviewed and one post-publication peer-reviewed publication. The results cover the development of suitable resilience mechanisms for P4 data planes, the development and implementation of resilient BIER forwarding in P4, and the extensive evaluations of all developed and implemented mechanisms. Furthermore, the results contain a comprehensive P4 literature study. Two more peer-reviewed papers contain additional content that is not directly related to the main results. They implement congestion avoidance mechanisms in P4 and develop a scheduling concept to find cost-optimized load schedules based on day-ahead forecasts

    Evidence-based practice to develop social communication competency: listening to the voices of teachers of autistic children

    Get PDF
    In education research, there is a firm belief that reflecting on inclusive pedagogy is imperative for teachers, as effective inclusion means considering the child’s needs on all levels and adopting appropriate practices to meet these needs in schools (Lerner and Johns 2015). The appropriate practices, recommended for teachers of autistic children should have a research base, with evidence of their effectiveness to show what works to support learning. Such practices are termed evidence-based practices (EBPs). The 2016 Review of Autism Spectrum D[ifference] (ASD) Provision, commissioned by the National Council for Special Education (NCSE), has identified that in Ireland there are ‘significant gaps in our knowledge of interventions for supporting children and young people with ASD, at different ages and in different educational settings’ (Bond et al. 2016, p.139). Despite global efforts, an upsurge in the availability of literature on ASD and the existence of high-quality experimental research, recommendations from empirical studies are not always transmitting into effective practice (Joyce and Cartwright 2020). The researcher sought to document the EBPs, that teachers report as most effective in early years’ classrooms, to facilitate social communication competency (SCC), which is acknowledged, nationally and internationally, as significant for autistic children. The research study utilised a detailed systematic literature review to provide an authentic evidence-based foundation that informed data collection, for teachers to use to reflect on their practice. The research adopted a cross-sectional survey as the data collection instrument, which was completed by a purposeful sample of teachers nationally across Ireland. A mixed methods approach to data analysis was embraced, whereby quantitative and qualitative analyses were combined to yield rich data (Creswell and Guetterman 2021). The study adopted Vygotsky’s socio-cultural theory as its theoretical framework for analysis. It unveiled the perspectives of teachers in relation to EBPs, which they employ to teach SCC to autistic children in early years’ classrooms. Emerging from the voices of the teachers, seen as key stakeholders in the provision of education for autistic children, several recommendations are suggested for policy and practice, nationally and internationally.N

    Examining the Relationships Between Distance Education Students’ Self-Efficacy and Their Achievement

    Get PDF
    This study aimed to examine the relationships between students’ self-efficacy (SSE) and students’ achievement (SA) in distance education. The instruments were administered to 100 undergraduate students in a distance university who work as migrant workers in Taiwan to gather data, while their SA scores were obtained from the university. The semi-structured interviews for 8 participants consisted of questions that showed the specific conditions of SSE and SA. The findings of this study were reported as follows: There was a significantly positive correlation between targeted SSE (overall scales and general self-efficacy) and SA. Targeted students' self-efficacy effectively predicted their achievement; besides, general self- efficacy had the most significant influence. In the qualitative findings, four themes were extracted for those students with lower self-efficacy but higher achievement—physical and emotional condition, teaching and learning strategy, positive social interaction, and intrinsic motivation. Moreover, three themes were extracted for those students with moderate or higher self-efficacy but lower achievement—more time for leisure (not hard-working), less social interaction, and external excuses. Providing effective learning environments, social interactions, and teaching and learning strategies are suggested in distance education
    • …
    corecore