15,309 research outputs found
A Simple Theory of Every 'Thing'
One of the criteria to a strong principle in natural sciences is simplicity. This paper claims that the Free Energy Principle (FEP), by virtue of unifying particles with mind, is the simplest. Motivated by Hilbert’s 24th problem of simplicity, the argument is made that the FEP takes a seemingly mathematical complex domain and reduces it to something simple. More specifically, it is attempted to show that every ‘thing’, from particles to mind, can be partitioned into systemic states by virtue of self-organising symmetry break, i.e. self-entropy in terms of the balance between risk and ambiguity to achieve epistemic gain. By virtue of its explanatory reach, the FEP becomes the simplest principle under quantum, statistical and classical mechanics conditions
Reconceptualising adaptation to climate change as part of pathways of change and response
The need to adapt to climate change is now widely recognised as evidence of its impacts on social and natural systems grows and greenhouse gas emissions continue unabated. Yet efforts to adapt to climate change, as reported in the literature over the last decade and in selected case studies, have not led to substantial rates of implementation of adaptation actions despite substantial investments in adaptation science. Moreover, implemented actions have been mostly incremental and focused on proximate causes; there are far fewer reports of more systemic or transformative actions. We found that the nature and effectiveness of responses was strongly influenced by framing. Recent decision-oriented approaches that aim to overcome this situation are framed within a "pathways" metaphor to emphasise the need for robust decision making within adaptive processes in the face of uncertainty and inter-temporal complexity. However, to date, such "adaptation pathways" approaches have mostly focused on contexts with clearly identified decision-makers and unambiguous goals; as a result, they generally assume prevailing governance regimes are conducive for adaptation and hence constrain responses to proximate causes of vulnerability. In this paper, we explore a broader conceptualisation of "adaptation pathways" that draws on 'pathways thinking' in the sustainable development domain to consider the implications of path dependency, interactions between adaptation plans, vested interests and global change, and situations where values, interests, or institutions constrain societal responses to change. This re-conceptualisation of adaptation pathways aims to inform decision makers about integrating incremental actions on proximate causes with the transformative aspects of societal change. Case studies illustrate what this might entail. The paper ends with a call for further exploration of theory, methods and procedures to operationalise this broader conceptualisation of adaptation
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Accountability and Transparency of Entrepreneurial Journalism: Unresolved ethical issues in crowdfunded journalism projects
Crowdfunding is a new business model in which journalists rely—and depend—on (micro-) payments by a large number of supporters to finance their reporting. In this form of entrepreneurial journalism the roles of publisher, fundraiser and journalist often overlap. This raises questions about conflicts of interest, accountability and transparency. The article presents the results of selected case studies in four different European countries—Germany (Krautreporter), Italy (Occhidellaguerra), the United Kingdom (Contributoria) and the Netherlands (De Correspondent)—as well as one US example (Kickstarter). The study used a two-step methodological approach: first a content analysis of the websites and the Twitter accounts with regard to practices of media accountability, transparency and user participation was undertaken. The aim was to investigate how far ethical challenges in crowdfunded entrepreneurial journalism are accounted for. Second, we present findings from semi-structured interviews with journalists from each crowdfunding. The study provides evidence about the ethical issues in this area, particularly in relation to production transparency and responsiveness. The study also shows that in some cases of crowdfunding (platforms), accountability is outsourced and implemented only through the audience participation
Global Value Chains, Technology Transfer and Local Firm Upgrading in Non-OECD Countries
The productivity and competitiveness of local firms in non-OECD countries depends as much on technological capacities and successful upgrading as in industrialized countries. However, developing countries undertake very little to no original R&D and primarily depend on foreign technology. Long-term contracts and subcontracting arrangements within global value chains are here very important forms of transnational cooperation and therefore also important channels for technology transfer, especially as the majority of these countries attract only limited foreign direct investment. Drawing on innovation and growth models as much as on value-chain literature, we outline an analytical model for empirical research on local firm upgrading in non-OECD countries and technology transfer within global value chains.technology transfer, upgrading, innovation, non-OECD countries, global value chains
Basic tasks of sentiment analysis
Subjectivity detection is the task of identifying objective and subjective
sentences. Objective sentences are those which do not exhibit any sentiment.
So, it is desired for a sentiment analysis engine to find and separate the
objective sentences for further analysis, e.g., polarity detection. In
subjective sentences, opinions can often be expressed on one or multiple
topics. Aspect extraction is a subtask of sentiment analysis that consists in
identifying opinion targets in opinionated text, i.e., in detecting the
specific aspects of a product or service the opinion holder is either praising
or complaining about
QoS-Aware Middleware for Web Services Composition
The paradigmatic shift from a Web of manual interactions to a Web of programmatic interactions driven by Web services is creating unprecedented opportunities for the formation of online Business-to-Business (B2B) collaborations. In particular, the creation of value-added services by composition of existing ones is gaining a significant momentum. Since many available Web services provide overlapping or identical functionality, albeit with different Quality of Service (QoS), a choice needs to be made to determine which services are to participate in a given composite service. This paper presents a middleware platform which addresses the issue of selecting Web services for the purpose of their composition in a way that maximizes user satisfaction expressed as utility functions over QoS attributes, while satisfying the constraints set by the user and by the structure of the composite service. Two selection approaches are described and compared: one based on local (task-level) selection of services and the other based on global allocation of tasks to services using integer programming
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