Hasil untuk "Norwegian literature"

Niels Bilenberg, Pernille Tanggaard Andersen, Rikke Kirstine Kristensen et al.

Introduction Neurodevelopmental disorders, notably attention-deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD), present substantial challenges in mental health. Individuals referred for assessment in a psychiatric unit experience complex needs. This implies that their needs necessitate coordination across multiple sectors. Cross-sectoral collaboration models have emerged as essential strategies for addressing the complexities of these disorders. However, evidence of their existence, implementation and success remains limited. This protocol aims to outline a scoping review where we will explore existing collaboration models, evaluate their implementation and gain an understanding of how cross-sectoral collaboration models can be developed to ultimately benefit individuals referred for assessment of ADHD or ASD.Methods and analysis This proposed scoping review will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews guidelines. A comprehensive search will be conducted across PubMed, CINAHL, Embase, PsycINFO and Google Scholar, as well as grey literature sources, between 1 December 2024 and 1 January 2025. Inclusion criteria will encompass studies focusing on cross-sectoral collaboration for individuals referred for assessment of ADHD or ASD, published in English, Danish, Norwegian or Swedish. The search will use a three-block search string, with iterative refinement guided by familiarity with the evidence base. Data extraction will involve study characteristics and implementation details, using the Consolidated Framework for Implementation Research in combination with Proctor et al’s implementation outcomes framework. Results will be synthesised into descriptive tables, providing a comprehensive mapping of existing models and emphasising implementation feasibility.Ethics and dissemination Ethical approval is not required for this protocol since it involves the review of existing literature without the involvement of human participants or personal data. Findings will be disseminated at national and international conferences and will be integrated into future efforts to develop cross-sectoral collaboration models in Denmark.

Chenyang Shao, Yong Li, Fengli Xu

The rapid development of AI agent has spurred the development of advanced research tools, such as Deep Research. Achieving this require a nuanced understanding of the relations within scientific literature, surpasses the scope of keyword-based or embedding-based retrieval. Existing retrieval agents mainly focus on the content-level similarities and are unable to decode critical relational dynamics, such as identifying corroborating or conflicting studies or tracing technological lineages, all of which are essential for a comprehensive literature review. Consequently, this fundamental limitation often results in a fragmented knowledge structure, misleading sentiment interpretation, and inadequate modeling of collective scientific progress. To investigate relation-aware retrieval more deeply, we propose SciNetBench, the first Scientific Network Relation-aware Benchmark for literature retrieval agents. Constructed from a corpus of over 18 million AI papers, our benchmark systematically evaluates three levels of relations: ego-centric retrieval of papers with novel knowledge structures, pair-wise identification of scholarly relationships, and path-wise reconstruction of scientific evolutionary trajectories. Through extensive evaluation of three categories of retrieval agents, we find that their accuracy on relation-aware retrieval tasks often falls below 20%, revealing a core shortcoming of current retrieval paradigms. Notably, further experiments on the literature review tasks demonstrate that providing agents with relational ground truth leads to a substantial 23.4% performance improvement in the review quality, validating the critical importance of relation-aware retrieval. We publicly release our benchmark at https://anonymous.4open.science/r/SciNetBench/ to support future research on advanced retrieval systems.

Raymond Fok, Joseph Chee Chang, Marissa Radensky et al.

Comprehensive literature review requires synthesizing vast amounts of research -- a labor intensive and cognitively demanding process. Most prior work focuses either on helping researchers deeply understand a few papers (e.g., for triaging or reading), or retrieving from and visualizing a vast corpus. Deep analysis and synthesis of large paper collections (e.g., to produce a survey paper) is largely conducted manually with little support. We present DimInd, an interactive system that scaffolds literature review across large paper collections through LLM-generated structured representations. DimInd scaffolds literature understanding with multiple levels of compression, from papers, to faceted literature comparison tables with information extracted from individual papers, to taxonomies of concepts, to narrative syntheses. Users are guided through these successive information transformations while maintaining provenance to source text. In an evaluation with 23 researchers, DimInd supported participants in extracting information and conceptually organizing papers with less effort compared to a ChatGPT-assisted baseline workflow.

Milin Patel, Rolf Jung, Marzana Khatun

In the automobile industry, ensuring the safety of automated vehicles equipped with the Automated Driving System (ADS) is becoming a significant focus due to the increasing development and deployment of automated driving. Automated driving depends on sensing both the external and internal environments of a vehicle, utilizing perception sensors and algorithms, and Electrical/Electronic (E/E) systems for situational awareness and response. ISO 21448 is the standard for Safety of the Intended Functionality (SOTIF) that aims to ensure that the ADS operate safely within their intended functionality. SOTIF focuses on preventing or mitigating potential hazards that may arise from the limitations or failures of the ADS, including hazards due to insufficiencies of specification, or performance insufficiencies, as well as foreseeable misuse of the intended functionality. However, the challenge lies in ensuring the safety of vehicles despite the limited availability of extensive and systematic literature on SOTIF. To address this challenge, a Systematic Literature Review (SLR) on SOTIF for the ADS is performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The objective is to methodically gather and analyze the existing literature on SOTIF. The major contributions of this paper are: (i) presenting a summary of the literature by synthesizing and organizing the collective findings, methodologies, and insights into distinct thematic groups, and (ii) summarizing and categorizing the acknowledged limitations based on data extracted from an SLR of 51 research papers published between 2018 and 2023. Furthermore, research gaps are determined, and future research directions are proposed.

Inger Johanne Riis Tollnes, Veronika Sørensen, Kristin Rydjord Tholin et al.

Formålet med studien er å gi en oversikt over hva begrepet pedagogisk ledelse omhandler i fagfellevurderte artikler og fagbøker innenfor norsk barnehagefaglig forskningslitteratur. Studien er gjennomført som en scoping review, med undersøkelse i norske og internasjonale elektroniske databaser og forskningsbaserte fagbøker fra 2011 til 2021. Totalt 35 bidrag ble inkludert i samsvar med inklusjonskriteriene, og det ble gjennomført en tematisk innholdsanalyse. Litteraturstudien viser at pedagogisk ledelse er et vidt og lite utforsket begrep, spesielt i forståelsen av pedagogisk ledelse av barn. Denne litteraturgjennomgangen vil derfor kunne bidra til å tydeliggjøre innholdet i begrepet og eventuelt legge grunnlag for felles forståelse av begrepet innen barnehagefeltet. Studien peker på implikasjoner for barnehagefeltet og barnehagelærerutdanningen. ENGLISH ABSTRACT Pedagogical Leadership Within Norwegian Research Literature for Early Childhood Education and Care (ECEC) – A Scoping Review The purpose of the study is to summarize and provide an overview of what the concept of pedagogical leadership apply to in peer-reviewed articles and textbooks within the Norwegian early childhood education and care research literature (ECEC). The study was conducted as a scoping review as a method, with surveys in Norwegian and international electronic databases and research-based textbooks from 2011 to 2021. A total of 35 contributions were included in accordance with the inclusion criteria, and a thematic content analysis was conducted. The literature review shows that pedagogical leadership is a broad concept and little explored, especially in the understanding of pedagogical leadership of children. This literature review will therefore help to clarify the content of the term and possibly lay the foundation for a common understanding of the term in the ECEC field. The study points to implications for the field and ECEC teacher education. 

Linfeng Zhang, Changyue Hu, Zhiyu Quan

As the body of academic literature continues to grow, researchers face increasing difficulties in effectively searching for relevant resources. Existing databases and search engines often fall short of providing a comprehensive and contextually relevant collection of academic literature. To address this issue, we propose a novel framework that leverages Natural Language Processing (NLP) techniques. This framework automates the retrieval, summarization, and clustering of academic literature within a specific research domain. To demonstrate the effectiveness of our approach, we introduce CyLit, an NLP-powered repository specifically designed for the cyber risk literature. CyLit empowers researchers by providing access to context-specific resources and enabling the tracking of trends in the dynamic and rapidly evolving field of cyber risk. Through the automatic processing of large volumes of data, our NLP-powered solution significantly enhances the efficiency and specificity of academic literature searches. We compare the literature categorization results of CyLit to those presented in survey papers or generated by ChatGPT, highlighting the distinctive insights this tool provides into cyber risk research literature. Using NLP techniques, we aim to revolutionize the way researchers discover, analyze, and utilize academic resources, ultimately fostering advancements in various domains of knowledge.

Alioune Diallo, Jordan Samhi, Tegawendé Bissyandé et al.

In developing countries, several key sectors, including education, finance, agriculture, and healthcare, mainly deliver their services via mobile app technology on handheld devices. As a result, mobile app security has emerged as a paramount issue in developing countries. In this paper, we investigate the state of research on mobile app security, focusing on developing countries. More specifically, we performed a systematic literature review exploring the research directions taken by existing works, the different security concerns addressed, and the techniques used by researchers to highlight or address app security issues. Our main findings are: (1) the literature includes only a few studies on mobile app security in the context of developing countries ; (2) among the different security concerns that researchers study, vulnerability detection appears to be the leading research topic; (3) FinTech apps are revealed as the main target in the relevant literature. Overall, our work highlights that there is largely room for developing further specialized techniques addressing mobile app security in the context of developing countries.

Alex Wollman, John Hastings

Literature reviews are a critical component of formulating and justifying new research, but are a manual and often time-consuming process. This research introduces a novel, generalizable approach to literature analysis called CEKER which uses a three-step process to streamline the collection of literature, the extraction of key insights, and the summarized analysis of key trends and gaps. Leveraging Large Language Models (LLMs), this methodology represents a significant shift from traditional manual literature reviews, offering a scalable, flexible, and repeatable approach that can be applied across diverse research domains. A case study on unikernel security illustrates CEKER's ability to generate novel insights validated against previous manual methods. CEKER's analysis highlighted reduced attack surface as the most prominent theme. Key security gaps included the absence of Address Space Layout Randomization, missing debugging tools, and limited entropy generation, all of which represent important challenges to unikernel security. The study also revealed a reliance on hypervisors as a potential attack vector and emphasized the need for dynamic security adjustments to address real-time threats.

Tim Schopf, Florian Matthes

Scientific literature searches are often exploratory, whereby users are not yet familiar with a particular field or concept but are interested in learning more about it. However, existing systems for scientific literature search are typically tailored to keyword-based lookup searches, limiting the possibilities for exploration. We propose NLP-KG, a feature-rich system designed to support the exploration of research literature in unfamiliar natural language processing (NLP) fields. In addition to a semantic search, NLP-KG allows users to easily find survey papers that provide a quick introduction to a field of interest. Further, a Fields of Study hierarchy graph enables users to familiarize themselves with a field and its related areas. Finally, a chat interface allows users to ask questions about unfamiliar concepts or specific articles in NLP and obtain answers grounded in knowledge retrieved from scientific publications. Our system provides users with comprehensive exploration possibilities, supporting them in investigating the relationships between different fields, understanding unfamiliar concepts in NLP, and finding relevant research literature. Demo, video, and code are available at: https://github.com/NLP-Knowledge-Graph/NLP-KG-WebApp.

Alicia Julia Wilson Takaoka, Kshitij Sharma

The intersections of mental health and computing education is under-examined. In this systematic literature review, we evaluate the state-of-the-art of research in mental health and well-being interventions, assessments, and concerns like anxiety and depression in computer science and computing education. The studies evaluated occurred across the computing education pipeline from introductory to PhD courses and found some commonalities contributing to high reporting of anxiety and depression in those studied. In addition, interventions that were designed to address mental health topics often revolved around self-guidance. Based on our review of the literature, we recommend increasing sample sizes and focusing on the design and development of tools and interventions specifically designed for computing professionals and students.

Poompak Kusawat, Surat Teerakapibal

Purpose: Global adoption of the internet and mobile usage results in a huge variation in the cultural backgrounds of consumers who generate and consume electronic word-of-mouth (eWOM). Unsurprisingly, a research trend on cross-cultural eWOM has emerged. However, there has not been an attempt to synthesize this research topic. This paper aims to bridge this gap. Methodology: This research paper conducts a systematic literature review of the current research findings on cross-cultural eWOM. Journal articles published from 2006 to 2021 are included. This study then presents the key issues in the extant literature and suggests potential future research. Findings: The findings show that there has been an upward trend in the number of publications on cross-cultural eWOM since the early 2010s, with a relatively steeper increase toward 2020. The findings also synthesize cross-cultural eWOM research into four elements and suggest potential future research avenues. Value: To the best of the authors' knowledge, there is currently no exhaustive/integrated review of cross-cultural eWOM research. This research fills the need to summarize the current state of cross-cultural eWOM literature and identifies research questions to be addressed in the future.

Zichen Wang

Since the term "Cyber threat hunting" was introduced in 2016, there have been a rising trend of proactive defensive measure to create more cyber security. This research will look into peer reviewed literature on the subject of cyber threat hunting. Our study shows an increase in the field with methods of machine learning.\\ Keywords: Cyber threat, Cyber security, threat hunting , security system, data driven, Intel, analytic driven, TTPs

Sravanti Chinta, Rajat Bothra Jain

The literature review presented below on Image Compression, Transmission of 3D data over wireless networks and tracking of objects is the in depth study of Research Papers done in Multimedia lab. Most of the papers presented in this literature review have tackled the problems present in the conventional system and offered an optimal and practical solution.

Randi Hovden Borge, Ane-Marthe Solheim Skar, Mathilde Endsjø et al.

Abstract Background Implementation citizenship behavior (ICB) describes extra-role behaviors performed by employees to support evidence-based practice (EBP) implementation. Such behaviors can be measured using the Implementation Citizenship Behavior Scale (ICBS), which divides ICB into two dimensions, namely helping others and keeping informed. The current study extends the use of the ICBS to a context outside the USA and adds to the literature by investigating how leader-perceived ICB relates to practitioner-perceived implementation leadership and practitioners’ intentions to use EBPs. Methods Participants were 42 leaders and 152 practitioners in Norwegian mental health services implementing EBPs for post-traumatic stress disorder. Leaders rated each practitioner on ICB, and each practitioner rated their leader on implementation leadership and reported on their own intentions to use EBPs. The psychometric properties of the ICBS were assessed using confirmatory factor analysis and internal consistency reliabilities. The relationships between ICB, implementation leadership and intentions to use EBPs, were investigated through a series of bivariate correlation analyses and a path analysis of the total scales. Results The ICBS showed excellent psychometric properties. The hypothesized two-factor model provided an excellent fit to the data, and both subscales and the total scale were internally reliable. Leader-perceived ICB was positively and significantly correlated with both practitioner-perceived implementation leadership and practitioners’ intentions to use EBPs. Correlations with intentions to use EBPs were stronger for the subscale of keeping informed than for the subscale of helping others. Conclusions Results indicated that practitioners who rated their leader higher on implementation leadership received higher ICB ratings from their leader and reported higher intentions to use EBPs. The results provide evidence of a reciprocal social exchange relationship between leaders and practitioners during EBP implementation and a link to an important proximal implementation outcome (i.e., intentions to use EBPs). Results also suggest cultural differences in how ICB is perceived and relates to other phenomena. Scientific and practical implications are discussed. Trial registration Retrospectively registered in ClinicalTrials with ID NCT03719651 .

Yasmine Ahmed, Natasa Miskov-Zivanov

Computational modeling is crucial for understanding and analyzing complex systems. In biology, model creation is a human dependent task that requires reading hundreds of papers and conducting wet lab experiments, which would take days or months. To overcome this hurdle, we propose a novel automated method, that utilizes the knowledge published in literature to suggest model extensions by selecting most relevant and useful information in few seconds. In particular, our novel approach organizes the events extracted from the literature as a collaboration graph with additional metric that relies on the event occurrence frequency in literature. Additionally, we show that common graph centrality metrics vary in the assessment of the extracted events. We have demonstrated the reliability of the proposed method using three different selected models, namely, T cell differentiation, T cell large granular lymphocyte, and pancreatic cancer cell. Our proposed method was able to find high percent of the desired new events with an average recall of 82%.

Linda Hamrin Nesby

I Victoria (1898) av Knut Hamsun dør den kvinnelige hovedpersonen av tuberkulose bare 23 år gammel. Victoria er en av Hamsuns mest kjente romaner, men tuberkulosen som motiv har kun i liten grad påkalt kritikernes interesse. I denne artikkelen vil jeg drøfte hvordan fremstillingen av tuberkulose korresponderer med Hamsuns egen sykdomserfaring, samt med de rådende historiske og kulturelle forestillinger om sykdommen. Inspirert av Roland Barthes’ begrep «virkelighetseffekt» vil jeg vise hvordan medisinske og historiske fakta inngår eller transformeres som en del av romanens plot. Jeg vil vise hvordan Victoria ved hjelp av sykdomsmotivet står frem som en selvstendig og frigjort kvinneskikkelse samtidig som teksten påkaller stereotype forestillinger om unge tuberkuløse kvinner. Mens tuberkulosen i Victoria har tendert mot å bli sett på som et tegn på kjærlighet, vil jeg argumentere for at sykdommen i like stor grad fungerer som tegn på virkelighet.

Lisa Yamasaki

Using a psychoanalytic perspective, I explore Knut Hamsun’s novels, Sult (1890), Mysterier (1892), Pan (1894), and Victoria (1898) and focus on the power that the women in fantasy have over the different male protagonists, whom I term the Hamsunian male. Within each fantasy, the women either dominate or exert supernatural power over the Hamsunian male. By undertaking such an investigation, I examine how the desired women in fantasy differ from the main female characters, in so far as they portray the Hamsunian male’s desire that ranges from intense eroticism to fear and death. While my focus on the female characters in the Hamsunian male differs from the discussions concerning the main female characters, I note that such women comment on the depiction of the masculine gender in Hamsun’s work. Furthermore, the discussion shows the power of women in fantasy, thus questioning whether they should continue to be disregarded as only superficially feminine.

Ralf Kauranen, Olli Löytty

This article analyses three comics published in Finland that are focused on migration and offer differing insights into the representation of ‘the north’: Pentti Otsamo’s Kahvitauko (2012), Leen van Hulst’s Maitoa ja lunta / Milk and Snow (2011) and Lauri Ahtinen’s Elias (2018). These albums are both representative of the field in general and unique with respect to their treatment of the connections between place and migration. The analysis of the imaginary north is structured around the three tropes of the northern suburb, the northern climate, and the northern natural environment. What is common to them all is a construction of the north as a place without clear limitations and as an amalgamation of various relationships. A central aspect of what a place is in the globalized world is that it constitutes a meeting place. In Kahvitauko, the drinking of coffee is used to show how ‘north’ and ‘south’ are connected on a global scale. In Elias, the symbols of the north, the snow, and the bear, are tied together with Afghanistan. Maitoa ja lunta / Milk and Snow provides another viewpoint, as it lacks the representation of xenophobia. Read in parallel with the other two comics it not only shows that migrants of different kinds are treated differently, but also highlights how a place such as the north is defined in different terms depending on reasons for migration, race and ethnicity, and privilege in general. A place is precisely a place for articulation of networks of meanings, experiences, and people. In addition, the three albums are posited in the broader field of Finnish comics on migration. This is carried out with a focus on how the very concrete places in the comics in the field are named and visually anchored.

Saeed Nosratabadi, Nesrine Khazami, Marwa Ben Abdallah et al.

Social capital creates a synergy that benefits all members of a community. This review examines how social capital contributes to the food security of communities. A systematic literature review, based on Prisma, is designed to provide a state-of-the-art review on capacity social capital in this realm. The output of this method led to finding 39 related articles. Studying these articles illustrates that social capital improves food security through two mechanisms of knowledge sharing and product sharing (i.e., sharing food products). It reveals that social capital through improving the food security pillars (i.e., food availability, food accessibility, food utilization, and food system stability) affects food security. In other words, the interaction among the community members results in sharing food products and information among community members, which facilitates food availability and access to food. There are many shreds of evidence in the literature that sharing food and food products among the community member decreases household food security and provides healthy nutrition to vulnerable families and improves the food utilization pillar of food security. It is also disclosed that belonging to the social networks increases the community members' resilience and decreases the community's vulnerability that subsequently strengthens the stability of a food system. This study contributes to the common literature on food security and social capital by providing a conceptual model based on the literature. In addition to researchers, policymakers can use this study's findings to provide solutions to address food insecurity problems.

Jong Won Park

The scientific community continues to publish an overwhelming amount of new research related to COVID-19 on a daily basis, leading to much literature without little to no attention. To aid the community in understanding the rapidly flowing array of COVID-19 literature, we propose a novel BERT architecture that provides a brief yet original summarization of lengthy papers. The model continually learns on new data in online fashion while minimizing catastrophic forgetting, thus fitting to the need of the community. Benchmark and manual examination of its performance show that the model provide a sound summary of new scientific literature.