4,321 research outputs found
Writing Facts
»Fact« is one of the most crucial inventions of modern times. Susanne Knaller discusses the functions of this powerful notion in the arts and the sciences, its impact on aesthetic models and systems of knowledge. The practice of writing provides an effective procedure to realize and to understand facts. This concerns preparatory procedures, formal choices, models of argumentation, and narrative patterns. By considering »writing facts« and »writing facts«, the volume shows why and how »facts« are a result of knowledge, rules, and norms as well as of description, argumentation, and narration. This approach allows new perspectives on »fact« and its impact on modernity
“In small places, close to home”: urban environmental impacts on child rights across four global cities
Urban environments influence child behaviours, exposures and experiences and may affect health, development, achievement and realization of fundamental human rights. We examined the status of eleven UN Convention on the Rights of the Child articles, in a multi-case study across four global cities. Within all study cities, children experienced unequal exposure to urban environmental risks and amenities. Many violations of child rights are related to car-based transportation systems and further challenged by pressures on urban systems from rapid population increases in the context of climate change. A child rights framework provides principles for a collective, multi-sectoral re-imagination of urban environments that support the human rights of all citizens
GPT-3.5, GPT-4, or BARD? Evaluating LLMs Reasoning Ability in Zero-Shot Setting and Performance Boosting Through Prompts
Large Language Models (LLMs) have exhibited remarkable performance on various
Natural Language Processing (NLP) tasks. However, there is a current hot debate
regarding their reasoning capacity. In this paper, we examine the performance
of GPT-3.5, GPT-4, and BARD models, by performing a thorough technical
evaluation on different reasoning tasks across eleven distinct datasets. Our
paper provides empirical evidence showcasing the superior performance of
ChatGPT-4 in comparison to both ChatGPT-3.5 and BARD in zero-shot setting
throughout almost all evaluated tasks. While the superiority of GPT-4 compared
to GPT-3.5 might be explained by its larger size and NLP efficiency, this was
not evident for BARD. We also demonstrate that the three models show limited
proficiency in Inductive, Mathematical, and Multi-hop Reasoning Tasks. To
bolster our findings, we present a detailed and comprehensive analysis of the
results from these three models. Furthermore, we propose a set of engineered
prompts that enhances the zero-shot setting performance of all three models.Comment: Accepted for publication at Elsevier's Natural Language Processing
Journa
Mathematical models to evaluate the impact of increasing serotype coverage in pneumococcal conjugate vaccines
Of over 100 serotypes of Streptococcus pneumoniae, only 7 were included in the first pneumo- coccal conjugate vaccine (PCV). While PCV reduced the disease incidence, in part because of a herd immunity effect, a replacement effect was observed whereby disease was increasingly caused by serotypes not included in the vaccine. Dynamic transmission models can account for these effects to describe post-vaccination scenarios, whereas economic evaluations can enable decision-makers to compare vaccines of increasing valency for implementation. This thesis has four aims. First, to explore the limitations and assumptions of published pneu- mococcal models and the implications for future vaccine formulation and policy. Second, to conduct a trend analysis assembling all the available evidence for serotype replacement in Europe, North America and Australia to characterise invasive pneumococcal disease (IPD) caused by vaccine-type (VT) and non-vaccine-types (NVT) serotypes. The motivation behind this is to assess the patterns of relative abundance in IPD cases pre- and post-vaccination, to examine country-level differences in relation to the vaccines employed over time since introduction, and to assess the growth of the replacement serotypes in comparison with the serotypes targeted by the vaccine. The third aim is to use a Bayesian framework to estimate serotype-specific invasiveness, i.e. the rate of invasive disease given carriage. This is useful for dynamic transmission modelling, as transmission is through carriage but a majority of serotype-specific pneumococcal data lies in active disease surveillance. This is also helpful to address whether serotype replacement reflects serotypes that are more invasive or whether serotypes in a specific location are equally more invasive than in other locations. Finally, the last aim of this thesis is to estimate the epidemiological and economic impact of increas- ing serotype coverage in PCVs using a dynamic transmission model. Together, the results highlight that though there are key parameter uncertainties that merit further exploration, divergence in serotype replacement and inconsistencies in invasiveness on a country-level may make a universal PCV suboptimal.Open Acces
CITIES: Energetic Efficiency, Sustainability; Infrastructures, Energy and the Environment; Mobility and IoT; Governance and Citizenship
This book collects important contributions on smart cities. This book was created in collaboration with the ICSC-CITIES2020, held in San José (Costa Rica) in 2020. This book collects articles on: energetic efficiency and sustainability; infrastructures, energy and the environment; mobility and IoT; governance and citizenship
Reality Bites
Fake news, alternative facts, post truth—terms all too familiar to anyone in U.S. political culture and concepts at the core of Dana L. Cloud’s new book, Reality Bites, which explores truth claims in contemporary political rhetoric in the face of widespread skepticism regarding the utility, ethics, and viability of an empirical standard for political truths. Cloud observes how appeals to truth often assume—mistakenly—that it is a matter of simple representation of facts. However, since neither fact-checking nor “truthiness” can respond meaningfully to this problem, she argues for a rhetorical realism—the idea that communicators can bring knowledge from particular perspectives and experiences into the domain of common sense.
Through a series of case studies—including the PolitiFact fact-checking project, the Planned Parenthood “selling baby parts” scandal, the Chelsea Manning and Edward Snowden cases, Neil DeGrasse Tyson’s Cosmos, the rhetoric of Thomas Paine and the American Revolution, and the Black Lives Matter movement—Cloud advocates for the usefulness of narrative, myth, embodiment, affect, and spectacle in creating accountability in contemporary U.S. political rhetoric. If dominant reality “bites”—in being oppressive and exploitative—it is time, Cloud argues, for those in the reality-based community to “bite back.
Transitioning to Quality Education
Transitioning to Quality Education focuses on the fourth UN Sustainable Development Goal. According to SDG 4, every learner should acquire the knowledge and skills needed to promote sustainable development (UN 2015, 17). Thus, the aim of sustainability education is to foster learners to be creative and responsible global citizens, who critically reflect on the ideas of sustainable development and the values that underlie them, and take responsible actions for sustainable development (UNESCO 2017). Sustainability is strongly connected to attitudes and values, therefore, applications of sustainability are complicated. Quality education requires teachers to have competences, knowledge, and skills to be able to plan and carry out meaningful education and teaching in sustainability. The aim of Transitioning to Quality Education is to provide versatile experiences and new knowledge on the cognitive, affective, and social issues that are important for promoting sustainable development in formal and non-formal education. Transitioning to Quality Education is part of MDPI's new Open Access book series Transitioning to Sustainability. With this series, MDPI pursues environmentally and socially relevant research which contributes to efforts toward a sustainable world. Transitioning to Sustainability aims to add to the conversation about regional and global sustainable development according to the 17 SDGs. Set to be published in 2020/2021, the book series is intended to reach beyond disciplinary, even academic boundaries
COVID-19 Outbreak and Beyond
The COVID-19 pandemic drastically changed our lifestyle when, on 30 January 2020, the World Health Organization declared the coronavirus disease outbreak a public health emergency of international concern. Since then, many governments have introduced unprecedented containment measures, hoping to slow the spread of the virus. International research suggests that both the pandemic and the related protective measures, such as lockdown, curfews, and social distancing, are having a profound impact on the mental health of the population. Among the most commonly observed psychological effects, there are high levels of stress, anxiety, depression, and post-traumatic symptoms, along with boredom and frustration. At the same time, the behavioral response of the population is of paramount importance to successfully contain the outbreak, creating a vicious circle in which the psychological distress impacts the willingness to comply with the protective measures, which, in turn, if prolonged, could exacerbate the population’s distress. This book includes: i) original studies on the worldwide psychological and behavioral impact of COVID-19 on targeted individuals (e.g., parents, social workers, patients affected by physical and mental disorders); ii) studies exploring the effect of COVID-19 using advanced statistical and methodological techniques (e.g., machine learning technologies); iii) research on practical applications that could help identify persons at risk, mitigate the negative effects of this situation, and offer insights to policymakers to manage the pandemic are also highly welcomed
- …