Hasil untuk "Norwegian literature"

D. Aksnes, G. Sivertsen

Abstract Purpose The purpose of this study is to assess the coverage of the scientific literature in Scopus and Web of Science from the perspective of research evaluation. Design/methodology/approach The academic communities of Norway have agreed on certain criteria for what should be included as original research publications in research evaluation and funding contexts. These criteria have been applied since 2004 in a comprehensive bibliographic database called the Norwegian Science Index (NSI). The relative coverages of Scopus and Web of Science are compared with regard to publication type, field of research and language. Findings Our results show that Scopus covers 72 percent of the total Norwegian scientific and scholarly publication output in 2015 and 2016, while the corresponding figure for Web of Science Core Collection is 69 percent. The coverages are most comprehensive in medicine and health (89 and 87 percent) and in the natural sciences and technology (85 and 84 percent). The social sciences (48 percent in Scopus and 40 percent in Web of Science Core Collection) and particularly the humanities (27 and 23 percent) are much less covered in the two international data sources. Research limitation Comparing with data from only one country is a limitation of the study, but the criteria used to define a country’s scientific output as well as the identification of patterns of field-dependent partial representations in Scopus and Web of Science should be recognizable and useful also for other countries. Originality/value The novelty of this study is the criteria-based approach to studying coverage problems in the two data sources.

M. Vaismoradi, Susanna Tella, Patricia A Logan et al.

Background: Quality-of-care improvement and prevention of practice errors is dependent on nurses’ adherence to the principles of patient safety. Aims: This paper aims to provide a systematic review of the international literature, to synthesise knowledge and explore factors that influence nurses’ adherence to patient-safety principles. Methods: Electronic databases in English, Norwegian, and Finnish languages were searched, using appropriate keywords to retrieve empirical articles published from 2010–2019. Using the theoretical domains of the Vincent’s framework for analysing risk and safety in clinical practice, we synthesized our findings according to ‘patient’, ‘healthcare provider’, ‘task’, ‘work environment’, and ‘organisation and management’. Findings: Six articles were found that focused on adherence to patient-safety principles during clinical nursing interventions. They focused on the management of peripheral venous catheters, surgical hand rubbing instructions, double-checking policies of medicines management, nursing handover between wards, cardiac monitoring and surveillance, and care-associated infection precautions. Patients’ participation, healthcare providers’ knowledge and attitudes, collaboration by nurses, appropriate equipment and electronic systems, education and regular feedback, and standardization of the care process influenced nurses’ adherence to patient-safety principles. Conclusions: The revelation of individual and systemic factors has implications for nursing care practice, as both influence adherence to patient-safety principles. More studies using qualitative and quantitative methods are required to enhance our knowledge of measures needed to improve nurse’ adherence to patient-safety principles and their effects on patient-safety outcomes.

Mingyu Huang, Shasha Zhou, Yuxuan Chen et al.

We are living in an era of "big literature", where the volume of digital scientific publications is growing exponentially. While offering new opportunities, this also poses challenges for understanding literature landscapes, as traditional manual reviewing is no longer feasible. Recent large language models (LLMs) have shown strong capabilities for literature comprehension, yet they are incapable of offering "comprehensive, objective, open and transparent" views desired by systematic reviews due to their limited context windows and trust issues like hallucinations. Here we present LitChat, an end-to-end, interactive and conversational literature agent that augments LLM agents with data-driven discovery tools to facilitate literature exploration. LitChat automatically interprets user queries, retrieves relevant sources, constructs knowledge graphs, and employs diverse data-mining techniques to generate evidence-based insights addressing user needs. We illustrate the effectiveness of LitChat via a case study on AI4Health, highlighting its capacity to quickly navigate the users through large-scale literature landscape with data-based evidence that is otherwise infeasible with traditional means.

Sebastian Baltes, Paul Ralph

The goal of this chapter is to support teachers in holistically introducing graduate students to literature reviews, with a particular focus on secondary research. It provides an overview of the overall literature review process and the different types of literature review before diving into guidelines for selecting and conducting different types of literature review. The chapter also provides recommendations for evaluating the quality of existing literature reviews and concludes with a summary of our learning goals and how the chapter supports teachers in addressing them.

Joshua Morriss, Tod Brindle, Jessica Bah Rösman et al.

Systematic literature reviews are the highest quality of evidence in research. However, the review process is hindered by significant resource and data constraints. The Literature Review Network (LRN) is the first of its kind explainable AI platform adhering to PRISMA 2020 standards, designed to automate the entire literature review process. LRN was evaluated in the domain of surgical glove practices using 3 search strings developed by experts to query PubMed. A non-expert trained all LRN models. Performance was benchmarked against an expert manual review. Explainability and performance metrics assessed LRN's ability to replicate the experts' review. Concordance was measured with the Jaccard index and confusion matrices. Researchers were blinded to the other's results until study completion. Overlapping studies were integrated into an LRN-generated systematic review. LRN models demonstrated superior classification accuracy without expert training, achieving 84.78% and 85.71% accuracy. The highest performance model achieved high interrater reliability (k = 0.4953) and explainability metrics, linking 'reduce', 'accident', and 'sharp' with 'double-gloving'. Another LRN model covered 91.51% of the relevant literature despite diverging from the non-expert's judgments (k = 0.2174), with the terms 'latex', 'double' (gloves), and 'indication'. LRN outperformed the manual review (19,920 minutes over 11 months), reducing the entire process to 288.6 minutes over 5 days. This study demonstrates that explainable AI does not require expert training to successfully conduct PRISMA-compliant systematic literature reviews like an expert. LRN summarized the results of surgical glove studies and identified themes that were nearly identical to the clinical researchers' findings. Explainable AI can accurately expedite our understanding of clinical practices, potentially revolutionizing healthcare research.

Ruben Dobler Strand, Torgrim Log

The vast majority of fire-related deaths occur in residential buildings. Until recently, the fire risk for these buildings was only considered through static risk assessments or period-based assessments applying to certain periods of the year, e.g., Christmas holidays. However, for homes with indoor wooden panelling, especially in the ceiling, a dynamic fire danger indicator can be predicted for cold climate regions. Recognising the effect of fuel moisture content (FMC) of indoor wooden panelling on the enclosure fire development allows for the prediction of a wooden home fire danger indicator. In the present study, dry wood fire dynamics are analysed and experimental observations are reported to support in-home wooden panel FMC as a suitable wooden home fire danger indicator. Then, from previous work, the main equation for modelling in-home FMC is considered and a generic enclosure for FMC modelling is justified based on literature data and supported through a sensitivity study for Norwegian wooden homes. Further, ten years of weather data for three selected locations in Norway, i.e., a coastal town, an inland fjord town and a mountain town, were analysed using a three-dimensional risk matrix to assess the usability of the fire risk modelling results. Finally, a cold climate wooden home fire danger index was introduced to demonstrate how the risk concept can be communicated in an intuitive way using similar gradings as the existing national forest fire index. Based on the generic enclosure, the findings support FMC as a fire risk indicator for homes with interior wooden panelling (walls and ceiling). Large differences in the number of days with arid in-home conditions were identified for the selected towns. The number of days with combined strong wind and dry wooden homes appears to depend more on the number of days with strong wind than days of in-home drought. Thus, the coastal town was more susceptible to conflagrations than the drier inland towns. This aligns well with the most significant fire disasters in Norway since 1900. In addition, it was demonstrated that the number of high-risk periods is manageable and can be addressed by local fire departments through proactive measures. In turn, the fire risk modelling and associated index respond well to the recent changes in Norwegian regulations, requiring the fire departments to have systems for detecting increased risk levels. Testing the modelling for a severe winter fire in the USA indicates that the presented approach may be of value elsewhere as well.

Alon Jacovi

The XAI literature is decentralized, both in terminology and in publication venues, but recent years saw the community converge around keywords that make it possible to more reliably discover papers automatically. We use keyword search using the SemanticScholar API and manual curation to collect a well-formatted and reasonably comprehensive set of 5199 XAI papers, available at https://github.com/alonjacovi/XAI-Scholar . We use this collection to clarify and visualize trends about the size and scope of the literature, citation trends, cross-field trends, and collaboration trends. Overall, XAI is becoming increasingly multidisciplinary, with relative growth in papers belonging to increasingly diverse (non-CS) scientific fields, increasing cross-field collaborative authorship, increasing cross-field citation activity. The collection can additionally be used as a paper discovery engine, by retrieving XAI literature which is cited according to specific constraints (for example, papers that are influential outside of their field, or influential to non-XAI research).

J. Fosså, P. Mortensen, D. Furevik

Øyvind Breivik, Ana Carrasco, Hilde Haakenstad et al.

As atmospheric models move to higher resolution and resolve smaller scales, the maximum modeled wind speed also tends to increase. Wave models tuned to coarser wind fields tend to overestimate the wave growth under strong winds. A recently developed semi-empirical parameterization of the Charnock parameter, which controls the roughness length over surface waves, substantially reduces the aerodynamic drag of waves in high winds (above a threshold of 30 m/s). Here we apply the formulation in a recent version of the wave model WAM (Cycle 4.7), which uses a modified version of the physics parameterizations by Ardhuin et al (2010) as well as subgrid obstructions for better performance around complex topography. The new Charnock formulation is tested with wind forcing from NORA3, a recently completed non-hydrostatic atmospheric downscaling of the global reanalysis ERA5 for the North Sea, the Norwegian Sea and the Barents Sea. Such high-resolution atmospheric model integrations tend to have stronger (and more realistic) upper-percentile winds than what is typically found in coarser atmospheric models. A two-year comparison (2011-2012) of a control run against the run with the modified Charnock parameter shows a dramatic reduction of the wave height bias in high-wind cases. The added computational cost of the new physics and the reduction of the Charnock parameter compared to the earlier WAM physics is modest (14%). A longer (1998-2020) hindcast integration with the new Charnock parameter is found to compare well against in situ and altimeter wave measurements both for intermediate and high sea states.

Jascha Grübel, Tyler Thrash, Leonel Aguilar et al.

Smart Cities already surround us, and yet they are still incomprehensibly far from directly impacting everyday life. While current Smart Cities are often inaccessible, the experience of everyday citizens may be enhanced with a combination of the emerging technologies Digital Twins (DTs) and Situated Analytics. DTs represent their Physical Twin (PT) in the real world via models, simulations, (remotely) sensed data, context awareness, and interactions. However, interaction requires appropriate interfaces to address the complexity of the city. Ultimately, leveraging the potential of Smart Cities requires going beyond assembling the DT to be comprehensive and accessible. Situated Analytics allows for the anchoring of city information in its spatial context. We advance the concept of embedding the DT into the PT through Situated Analytics to form Fused Twins (FTs). This fusion allows access to data in the location that it is generated in an embodied context that can make the data more understandable. Prototypes of FTs are rapidly emerging from different domains, but Smart Cities represent the context with the most potential for FTs in the future. This paper reviews DTs, Situated Analytics, and Smart Cities as the foundations of FTs. Regarding DTs, we define five components (Physical, Data, Analytical, Virtual, and Connection environments) that we relate to several cognates (i.e., similar but different terms) from existing literature. Regarding Situated Analytics, we review the effects of user embodiment on cognition and cognitive load. Finally, we classify existing partial examples of FTs from the literature and address their construction from Augmented Reality, Geographic Information Systems, Building/City Information Models, and DTs and provide an overview of future direction

Guillaume Cabanac

Research misconduct and frauds pollute the scientific literature. Honest errors and malevolent data fabrication, image manipulation, journal hijacking, and plagiarism passed peer review unnoticed. Problematic papers deceive readers, authors citing them, and AI-powered literature-based discovery. Flagship publishers accepted hundreds flawed papers despite claiming to enforce peer review. This application ambitions to decontaminate the scientific literature using curative and preventive actions.

Girish Sundaram, Daniel Berleant

Objectives: An SLR is presented focusing on text mining based automation of SLR creation. The present review identifies the objectives of the automation studies and the aspects of those steps that were automated. In so doing, the various ML techniques used, challenges, limitations and scope of further research are explained. Methods: Accessible published literature studies that primarily focus on automation of study selection, study quality assessment, data extraction and data synthesis portions of SLR. Twenty-nine studies were analyzed. Results: This review identifies the objectives of the automation studies, steps within the study selection, study quality assessment, data extraction and data synthesis portions that were automated, the various ML techniques used, challenges, limitations and scope of further research. Discussion: We describe uses of NLP/TM techniques to support increased automation of systematic literature reviews. This area has attracted increase attention in the last decade due to significant gaps in the applicability of TM to automate steps in the SLR process. There are significant gaps in the application of TM and related automation techniques in the areas of data extraction, monitoring, quality assessment and data synthesis. There is thus a need for continued progress in this area, and this is expected to ultimately significantly facilitate the construction of systematic literature reviews.

Michel Wijkstra, Timo Lek, Tobias Kuhn et al.

Literature reviews have long played a fundamental role in synthesizing the current state of a research field. However, in recent years, certain fields have evolved at such a rapid rate that literature reviews quickly lose their relevance as new work is published that renders them outdated. We should therefore rethink how to structure and publish such literature reviews with their highly valuable synthesized content. Here, we aim to determine if existing Linked Data technologies can be harnessed to prolong the relevance of literature reviews and whether researchers are comfortable with working with such a solution. We present here our approach of ``living literature reviews'' where the core information is represented as Linked Data which can be amended with new findings after the publication of the literature review. We present a prototype implementation, which we use for a case study where we expose potential users to a concrete literature review modeled with our approach. We observe that our model is technically feasible and is received well by researchers, with our ``living'' versions scoring higher than their traditional counterparts in our user study. In conclusion, we find that there are strong benefits to using a Linked Data solution to extend the effective lifetime of a literature review.

Maria Cipollina, Luca De Benedictis, Elisa Scibè

The literature on the relationship between environmental factors such as climatic changes and natural hazards and human mobility (both internal and international) is characterized by heterogeneous results: some contributions highlight the role of climate changes as a driver of migratory flows, while others underline how this impact is mediated by geographical, economic and the features of the environmental shock. This paper attempts to map this literature, focusing on economics and empirical essays. The paper improves on the existing literature: (a) providing systematic research of the literature through main bibliographic databases, followed by a review and bibliometric analysis of all resulting papers; (b) building a citation-based network of contributions, that hollows to identify four separate clusters of paper; (c) applying meta-analysis methods on the sample of 96 papers released between 2003 and 2020, published in an academic journal, working papers series or unpublished studies, providing 3,904 point estimates of the effect of slow-onset events and 2,065 point estimates of the effect of fast-onset events. Overall, the meta-analytic average effect estimates a small impact of slow- and rapid-onset variables on migration, however positive and significant. When the clustering of the literature is accounted for, however, a significant heterogeneity emerges among the four clusters of papers, giving rise to new evidence on the formation of club-like convergence of literature outcomes.

Carlos Eduardo Maldonado

A strong link between complexity theory and literature is possible, i.e. feasible, under one proviso, namely that total novels be considered. However, neither in literature at large nor in complexity science has been literature seriously taken into consideration. This paper argues that a total novel is most conspicuous example of a complex system. The argument is supported by a clear characterization of what a total novel is and entails. Science and literature can be thus complemented and developed, hand in hand.

J. Gray

Sanda TOMESCU BACIU, Oana Aurelia GENCĂRĂU

• Nordic studies and institutional foundation The Nordic Studies and Institutional Foundation section comprises contributions from linguistic, literary but also cultural and business-oriented perspectives. The authors of the articles, from Norway to Poland and Romania, essentially reveal the role of languages, literature and culture – in this case Norwegian, Sami and Swedish – in our global world. Language and cultural communication, through classic or contemporary literature, performing arts as well as literary translations, impressively promoted by Norwegian Literature Abroad (Norla), are reflected in a variety of articles on Norwegian literature as world literature, or on Sami theatre in a global context. While one of the case studies presents valuable insights into proficiency levels in minor languages correlated to students’ job satisfaction, another analyses the context of institutional development. The articles also present automatically-classifying variants of the modern Norwegian language, perspectives on issues of multimodality and identity in the 21 century, as well as specific academic, cultural and labour market frameworks. The literary research showcased in a couple of articles - from Henrik Ibsen and August Strindberg to emblematic contemporary writers - reflects the preoccupations of Romanian academics representing the educational environment provided by specific bachelor programmes offered by Babeş-Bolyai University and the University of Bucharest, for the comprehensive field of Scandinavian Studies.

Daryl Jamieson

Utamakura is a traditional Japanese technique of recognizing, interpreting, and utilizing the web of intertextual meanings which have accrued around particular place names over centuries of poetic practice. In general, these utamakura places were originally (in the 7th-9th centuries) associated with Shintō gods (kami), though in later periods the web of meanings in most cases came to include (and often became dominated by) secular rather than spiritual associations. Japanese poet Takahashi Mutsuo, who has published both poetic and theoretical works on the subject of utamakura, seeks to recover the original spiritual power of utamakura place names. He has also expanded the concept to include places of mythic spiritual importance outside of Japan, mostly in the Greco-Roman world. Taking inspiration from Takahashi's revivification of this mediaeval poetic device, I am currently in the midst of a three-year project to write a series of (at this point seven) multimedia chamber music pieces called the utamakura series, pieces inspired alternately by traditional Japanese locations and locations in Northern Europe. My 2018 piece utamakura 2: Arnardalar for violin, piano, and fixed audiovisual media is an exploration of the Icelandic valley of Arnardulr in the Westfjords, the setting of a key early scene in the Fóstbræðra saga. My work draws on both the saga's descriptions of the place and the current place as it is today, highlighting the flux of time and exploring the power of art to infuse itself into – and change perceptions of – physical locations. In this paper, I will explain the conceptual processes involved in writing the piece, with an emphasis on the intercultural aesthetic of my work and how Japanese philosophy of art and religion can offer a creative new perspective on the Scandinavian lands which are the settings of the North's oldest literature.

Lena Gudd, Antonin Pons Braley

Beyond its many simplified representations such as cold, hostile, uninhabited, or unknown, the north reveals itself as a complex and multiple space of interwoven geographical, cultural, social, and conceptual dimensions. Influenced by world views, the power of maps and myths as well as the very relation to the landscape itself as one of extraction or attraction, humans subjectively apprehend these multiple norths. By dwelling in the northern lands through experience or imagination, ‘southerners’ and ‘northerners’ alike do not simply inhabit the north; they are in turn inhabited by it. Situated at the ‘gates of the north’ in subarctic Canada, the mono-industrial company town Fermont fits its town centre entirely under a single roof. Planned and commissioned in the 1970s by a mining company, the town’s Utopian purpose was to ‘make a society’ in an inhospitable climate, while serving the exploitation of the mine. Fermont’s case serves here as a laboratory to understand the complexities of the north in more general terms. At the crossroads of image-based practices and the humanities, this contribution engages with the question of how humans inhabit the north and how they are inhabited by it.

Emil Lundedal Hammar

In this article I argue that the structural conditions of global capitalism and postcolonialism encourage game developers to rearticulate hegemonic memory politics and suppress subaltern identities. This claim is corroborated via an application of Edward Herman and Noam Chomsky’s propaganda model to the Japanese-developed video game Metal Gear Solid V: The Phantom Pain. This case study highlights that the hegemonic articulations of colonial histories are not exclusive to Western entertainment products where instead modes of production matter in the ‘manufacturing of mnemonic hegemony’. I also propose that the propaganda model, while instructive, can be improved further by acknowledging a technological filter and the role of the subaltern. Thus, the article furthers the understanding of the relation between production and form in contemporary technological phenomena like video games and how this relation motivates hegemonic articulations of the past in contemporary mass culture.