Hasil untuk "Norwegian literature"

Ingeborg Rebecca Mjelde Helleberg, Ingvild Hagen Kjørholt

The aim of this article is to provide a new theoretical and methodological framework for analyzing the ethical, relational, and normative dimensions of transgenerational memory work, taking a comparative close reading of two Norwegian second-generation Holocaust family memoirs, Irene Levin’s <i>Vi snakket ikke om Holocaust</i> (2020) and Bjørn Westlie’s <i>Fars krig</i> (2008), as its case in point. Both narratives are simultaneously biographies, autobiographies, and historiographies, and they mediate between family memory and national memory. The authors position themselves as second-generation descendants, addressing and being addressed by their parents, and as Holocaust researchers, addressing and being addressed by a public audience. Departing from the theoretical perspective of relational life writing and Judith Butler’s concepts “scene of address” and “frameworks of recognition”, this comparative literary analysis of rhetorical situations, genres, and modes of narrating discusses the author-narrators’ engagement with their parents’ silence and writings and reveals how personal histories intersect with collective reckoning. By attending to the relational and performative aspects of storytelling, this article highlights how postgeneration literature enacts ethical reflection, recognition, and accountability.

Sultana Ali Norozi

This paper examines the implementation of well-being-related activities aimed at fostering a holistic, student-centered learning environment for first-year Master’s students. Conducted in a Norwegian university context, the study integrates activities designed to enhance students’ engagement while promoting awareness of their physical, emotional, and psychological well-being. The project was implemented in the aftermath of the COVID-19 pandemic; a time marked by heightened mental health challenges and shifting educational expectations. Data were collected from 44 Master’s students in Special Education (2023–2024) using a combination of survey questionnaires, interviews, discussions, class representative feedback, and reflection notes. The findings indicate initial resistance and confusion, but also show that over time, students developed awareness and appreciation for the relevance of well-being practices to both personal and academic success. Grounded in Self-Determination Theory and informed by Positive Activity Model, this paper contributes to the literature by offering practical tools and reflecting on the conceptual and logistical challenges of integrating well-being activities in higher education.

Shmeleva Olga A.

The article considers open-air museums as a special form of spatial and cultural representation located at the intersection of architecture, landscape design and cultural policy. Through the analysis of two classic examples (the Norwegian Folklore Museum and the Maly Korely Museum) and two modern facilities (the Kudykina Gora Park and the Emerald Screen Pergola project), differences in approaches to the organization of cultural space are revealed. It is shown that modern facilities are focused not so much on reconstructing the past as on creating an emotionally and visually saturated environment interacting with the natural landscape. Based on the analysis of literature and open sources, the need for new design models that take into account the perception of space and its psychological comfort is substantiated.

Trygve Gulbrandsen

Following the work of the pioneering military sociologists Samuel Huntington and Morris Janowitz, later scholars in the field have specifically addressed the relationship between the military and civil society. Furthering research into the depth and nature of differences of opinion between the two on political and cultural issues, here I report the results of an empirical study of the relationship between military leaders and other significant elite groups in Norwegian society. A substantial gap is revealed between the generals and admirals and other Norwegian elites concerning political preferences. In the parliamentary election in 2013, a huge majority of the military elite voted for the conservative Høyre party; only a little over a third of the total Norwegian elite, however, did the same. The empirical study also shows there to be extensive intersectoral trust between top military officers and other national leader groups – a topic which has received scant attention in the civil-military “gap” literature. Military services receive relatively high trust. And for their part, generals and admirals accord relatively high trust to other significant institutions in Norway – but it appears that Norwegian politicians place more trust in the armed forces than they receive from the top officers. Over a short period of time, the opinions of the military elite shifted on key national questions (the center-periphery issue and the role of religion in society, for two).

Ian Stevens

ABSTRACT I argue that this examination and appreciation for the shift to abductive reasoning should be extended to the intersection of neuroscience and novel brain-computer interfaces too. This paper highlights the implications of applying abductive reasoning to personalized implantable neurotechnologies. Then, it explores whether abductive reasoning is sufficient to justify insurance coverage for devices absent widespread clinical trials, which are better applied to one-size-fits-all treatments.  INTRODUCTION In contrast to the classic model of randomized-control trials, often with a large number of subjects enrolled, precision medicine attempts to optimize therapeutic outcomes by focusing on the individual.[i] A recent publication highlights the strengths and weakness of both traditional evidence-based medicine and precision medicine.[ii] Plus, it outlines a tension in the shift from evidence-based medicine’s inductive reasoning style (the collection of data to postulate general theories) to precision medicine’s abductive reasoning style (the generation of an idea from the limited data available).[iii] The paper’s main example is the application of precision medicine for the treatment of cancer.[iv] I argue that this examination and appreciation for the shift to abductive reasoning should be extended to the intersection of neuroscience and novel brain-computer interfaces too. As the name suggests, brain-computer interfaces are a significant advancement in neurotechnology that directly connects someone’s brain to external or implanted devices.[v] Among the various kinds of brain-computer interfaces, adaptive deep brain stimulation devices require numerous personalized adjustments to their settings during the implantation and computation stages in order to provide adequate relief to patients with treatment-resistant disorders. What makes these devices unique is how adaptive deep brain stimulation integrates a sensory component to initiate the stimulation. While not commonly at the level of sophistication as self-supervising or generative large language models,[vi] they currently allow for a semi-autonomous form of neuromodulation. This paper highlights the implications of applying abductive reasoning to personalized implantable neurotechnologies. Then, it explores whether abductive reasoning is sufficient to justify insurance coverage for devices absent widespread clinical trials, which are better applied to one-size-fits-all treatments.[vii] ANALYSIS I.     The State of Precision Medicine in Oncology and the Epistemological Shift While a thorough overview of precision medicine for the treatment of cancer is beyond the scope of this article, its practice can be roughly summarized as identifying clinically significant characteristics a patient possesses (e.g., genetic traits) to land on a specialized treatment option that, theoretically, should benefit the patient the most.[viii] However, in such a practice of stratification patients fall into smaller and smaller populations and the quality of evidence that can be applied to anyone outside these decreases in turn.[ix] As inductive logic helps to articulate, the greater the number of patients that respond to a particular therapy the higher the probability of its efficacy. By straying from this logical framework, precision medicine opens the treatment of cancer to more uncertainty about the validity of these approaches to the resulting disease subcategories.[x] Thus, while contemporary medical practices explicitly describe some treatments as “personalized”, they ought not be viewed as inherently better founded than other therapies.[xi] A relevant contemporary case of precision medicine out of Norway focuses on the care of a patient with cancer between the ventricles of the heart and esophagus, which had failed to respond to the standard regimen of therapies over four years.[xii] In a last-ditch effort, the patient elected to pay out-of-pocket for an experimental immunotherapy (nivolumab) at a private hospital. He experienced marked improvements and a reduction in the size of the tumor. Understandably, the patient tried to pursue further rounds of nivolumab at a public hospital. However, the hospital initially declined to pay for it given the “lack of evidence from randomised clinical trials for this drug relating to this [patient’s] condition.”[xiii] In rebuttal to this claim, the patient countered that he was actually similar to a subpopulation of patients who responded in “open‐label, single arm, phase 2 studies on another immune therapy drug” (pembrolizumab).[xiv] Given this interpretation of the prior studies and the patient’s response, further rounds of nivolumab were approved. Had the patient not had improvements in the tumor’s size following a round of nivolumab, then pembrolizumab’s prior empirical evidence in isolation would have been insufficient, inductively speaking, to justify his continued use of nivolumab.[xv] The case demonstrates a shift in reasoning from the traditional induction to abduction. The phenomenon of ‘cancer improvement’ is considered causally linked to nivolumab and its underlying physiological mechanisms.[xvi] However, “the weakness of abductions is that there may always be some other better, unknown explanation for an effect. The patient may for example belong to a special subgroup that spontaneously improves, or the change may be a placebo effect. This does not mean, however, that abductive inferences cannot be strong or reasonable, in the sense that they can make a conclusion probable.”[xvii] To demonstrate the limitations of relying on the abductive standard in isolation, commentators have pointed out that side effects in precision medicine are hard to rule out as being related to the initial intervention itself unless trends from a group of patients are taken into consideration.[xviii] As artificial intelligence (AI) assists the development of precision medicine for oncology, this uncertainty ought to be taken into consideration. The implementation of AI has been crucial to the development of precision medicine by providing a way to combine large patient datasets or a single patient with a large number of unique variables with machine learning to recommend matches based on statistics and probability of success upon which practitioners can base medical recommendations.[xix] The AI is usually not establishing a causal relationship[xx] – it is predicting. So, as AI bleeds into medical devices, like brain-computer interfaces, the same cautions about using abductive reasoning alone should be carried over. II.     Responsive Neurostimulation, AI, and Personalized Medicine Like precision medicine in cancer treatment, computer-brain interface technology similarly focuses on the individual patient through personalized settings. In order to properly expose the intersection of AI, precision medicine, abductive reasoning, and implantable neurotechnologies, the descriptions of adaptive deep brain stimulation systems need to deepen.[xxi] As a broad summary of adaptive deep brain stimulation, to provide a patient with the therapeutic stimulation, a neural signal, typically referred to as a local field potential,[xxii] must first be detected and then interpreted by the device. The main adaptive deep brain stimulation device with premarket approval, the NeuroPace Responsive Neurostimulation system, is used to treat epilepsy by detecting and storing “programmer-defined phenomena.”[xxiii] Providers can optimize the detection settings of the device to align with the patient’s unique electrographic seizures as well as personalize the reacting stimulation’s parameters.[xxiv] The provider adjusts the technology based on trial and error. One day machine learning algorithms will be able to regularly aid this process in myriad ways, such as by identifying the specific stimulation settings a patient may respond to ahead of time based on their electrophysiological signatures.[xxv] Either way, with AI or programmers, adaptive neurostimulation technologies are individualized and therefore operate in line with precision medicine rather than standard treatments based on large clinical trials. Contemporary neurostimulation devices are not usually sophisticated enough to be prominent in AI discussions where the topics of neural networks, deep learning, generative models, and self-attention dominate the conversation. However, implantable high-density electrocorticography arrays (a much more sensitive version than adaptive deep brain stimulation systems use) have been used in combination with neural networks to help patients with neurologic deficits from a prior stroke “speak” through a virtual avatar.[xxvi] In some experimental situations, algorithms are optimizing stimulation parameters with increasing levels of independence.[xxvii] An example of neurostimulation that is analogous to the use of nivolumab in Norway surrounds a patient in the United States who was experiencing both treatment-resistant OCD and temporal lobe epilepsy.[xxviii]Given the refractory nature of her epilepsy, implantation of an adaptive deep brain stimulation system was indicated. As a form of experimental therapy, her treatment-resistant OCD was also indicated for the off-label use of an adaptive deep brain stimulation set-up. Another deep brain stimulation lead, other than the one implanted for epilepsy, was placed in the patient’s right nucleus accumbens and ventral pallidum region given the correlation these nuclei had with OCD symptoms in prior research. Following this, the patient underwent “1) ambulatory, patient-initiated magnet-swipe storage of data during moments of obsessive thoughts; (2) lab-based, naturalistic provocation of OCD-related distress (naturalistic provocation task); and (3) lab-based, VR [virtual reality] provocation of OCD-related distress (VR provocation task).”[xxix] Such signals were used to identify when to deliver the therapeutic stimulation in order to counter the OCD symptoms. Thankfully, following the procedure and calibration the patient exhibited marked improvements in their OCD symptoms and recently shared her results publicly.[xxx] In both cases, there is a similar level of abductive justification for the efficacy of the delivered therapy. In the case study in which the patient was treated with adaptive deep brain stimulation, they at least had their neural activity tested in various settings to determine the optimum parameters for treatment to avoid them being based on guesswork. Additionally, the adaptive deep brain stimulation lead was already placed before the calibration trials were conducted, meaning that the patient had already taken on the bulk of the procedural risk before the efficacy could be determined. Such an efficacy test could have been replicated in the first patient’s cancer treatment, had it been biopsied and tested against the remaining immunotherapies in vitro. Yet, in the case of cancer with few options, one previous dose of a drug that appeared to work on the patient may justify further doses. However, as the Norwegian case presents, corroboration with known responses to a similar drug (from a clinical trial) could be helpful to validate the treatment strategy. (It should be noted that both patients were resigned to these last resort options regardless of the efficacy of treatment.) There are some elements of inductive logic seen with adaptive deep brain stimulation research in general. For example, abductively the focus could be that patient X’s stimulation parameters are different from patient Y’s and patient Z’s. In contrast, when grouped as subjects who obtained personalized stimulation, patients X, Y, and Z demonstrate an inductive aspect to this approach’s safety and/or efficacy. The OCD case holds plenty of abductive characteristics in line with precision medicine’s approach to treating cancer and as more individuals try the method, there will be additional data. With the gradual integration of AI into brain-computer interfaces in the name of efficacy, this reliance on abduction will continue, if not grow, over time. Moving forward, if a responsive deep brain stimulation treatment is novel and individualized (like the dose of nivolumab) and there is some other suggestion of efficacy (like clinical similarities to other patients in the literature), then it may justify insurance coverage for the investigative intervention, absent other unrelated reasons to deny it. III.     Ethical Implications and Next Steps While AI’s use in oncology and neurology is not yet as prominent as its use in other fields (e.g., radiology), it appears to be on the horizon for both.[xxxi] AI can be found in both the functioning of the neurotechnologies as well as the implementation of precision medicine. The increasing use of AI may serve to further individualize both oncologic and neurological therapies. Given these implications and the handful of publications cited in this article, it is important to have a nuanced evaluation of how these treatments, which heavily rely on abductive justification, ought to be managed. The just use an abductive approach may be difficult as AI infused precision medicine is further pursued. At baseline, such technology relies on a level of advanced technology literacy among the general public and could exclude populations who lack access to basic technological infrastructure or know-how from participation.[xxxii] Even among nations with adequate infrastructure, as more patients seek out implantable neurotechnologies, which require robust healthcare resources, the market will favor patient populations that can afford this complex care.[xxxiii] If patients already have the means to pay for an initial dose/use of a precision medicine product out of pocket, should insurance providers be required to cover subsequent treatments?[xxxiv] That is, if a first dose of a cancer drug or a deep brain stimulator over its initial battery life is successful, patients may feel justified in having the costs of further treatments covered. The Norwegian patient’s experience implies there is a precedent for the idea that some public insurance companies ought to cover successful cancer therapies, however, insurance companies may not all see themselves as obligated to cover neurotechnologies that rely on personalized settings or that are based on precision/abductive research more than on clinical trials. CONCLUSION The fact that the cases outlined above rely on abductive style of reasoning implies that there may not be as strong a justification for coverage by insurance, as they are both experimental and individualized, when compared to the more traditional large clinical trials in which groups have the same or a standardized protocol (settings/doses). If a study is examining the efficacy of a treatment with a large cohort of patients or with different experimental groups/phases, insurance companies may conclude that the resulting symptom improvements are more likely to be coming from the devices themselves. A preference for inductive justification may take priority when ruling in favor of funding someone’s continued use of an implantable neurostimulator. There are further nuances to this discussion surrounding the classifications of these interventions as research versus clinical care that warrant future exploration, since such a distinction is more of a scale[xxxv] than binary and could have significant impacts on the “right-to-try” approach to experimental therapies in the United States.[xxxvi] Namely, given the inherent limitations of conducting large cohort trials for deep brain stimulation interventions on patients with neuropsychiatric disorders, surgically innovative frameworks that blend abductive and inductive methodologies, like with sham stimulation phases, have traditionally been used.[xxxvii] Similarly, for adaptive brain-computer interface systems, if there are no large clinical trials and instead only publications that demonstrate that something similar worked for someone else, then, in addition to the evidence that the first treatment/dose worked for the patient in question, the balance of reasoning would be valid and arguably justify insurance coverage. As precision approaches to neurotechnology become more common, frameworks for evaluating efficacy will be crucial both for insurance coverage and for clinical decision making. ACKNOWLEDGEMENT This article was originally written as an assignment for Dr. Francis Shen’s “Bioethics & AI” course at Harvard’s Center for Bioethics. I would like to thank Dr. Shen for his comments as well as my colleagues in the Lázaro-Muñoz Lab for their feedback. - [i] Jonathan Kimmelman and Ian Tannock, “The Paradox of Precision Medicine,” Nature Reviews. Clinical Oncology 15, no. 6 (June 2018): 341–42, https://doi.org/10.1038/s41571-018-0016-0. [ii] Henrik Vogt and Bjørn Hofmann, “How Precision Medicine Changes Medical Epistemology: A Formative Case from Norway,” Journal of Evaluation in Clinical Practice 28, no. 6 (December 2022): 1205–12, https://doi.org/10.1111/jep.13649. [iii] David Barrett and Ahtisham Younas, “Induction, Deduction and Abduction,” Evidence-Based Nursing 27, no. 1 (January 1, 2024): 6–7, https://doi.org/10.1136/ebnurs-2023-103873. [iv] Vogt and Hofmann, “How Precision Medicine Changes Medical Epistemology,” 1208. [v] Wireko Andrew Awuah et al., “Bridging Minds and Machines: The Recent Advances of Brain-Computer Interfaces in Neurological and Neurosurgical Applications,” World Neurosurgery, May 22, 2024, S1878-8750(24)00867-2, https://doi.org/10.1016/j.wneu.2024.05.104. [vi] Mark Riedl, “A Very Gentle Introduction to Large Language Models without the Hype,” Medium (blog), May 25, 2023, https://mark-riedl.medium.com/a-very-gentle-introduction-to-large-language-models-without-the-hype-5f67941fa59e. [vii] David E. Burdette and Barbara E. Swartz, “Chapter 4 - Responsive Neurostimulation,” in Neurostimulation for Epilepsy, ed. Vikram R. Rao (Academic Press, 2023), 97–132, https://doi.org/10.1016/B978-0-323-91702-5.00002-5. [viii] Kimmelman and Tannock, 2018. [ix] Kimmelman and Tannock, 2018. [x] Simon Lohse, “Mapping Uncertainty in Precision Medicine: A Systematic Scoping Review,” Journal of Evaluation in Clinical Practice 29, no. 3 (April 2023): 554–64, https://doi.org/10.1111/jep.13789. [xi] Kimmelman and Tannock, “The Paradox of Precision Medicine.” [xii] Vogt and Hofmann, 1206. [xiii] Vogt and Hofmann, 1206. [xiv] Vogt and Hofmann, 1206. [xv] Vogt and Hofmann, 1207. [xvi] Vogt and Hofmann, 1207. [xvii] Vogt and Hofmann, 1207. [xviii] Vogt and Hofmann, 1210. [xix] Mehar Sahu et al., “Chapter Three - Artificial Intelligence and Machine Learning in Precision Medicine: A Paradigm Shift in Big Data Analysis,” in Progress in Molecular Biology and Translational Science, ed. David B. Teplow, vol. 190, 1 vols., Precision Medicine (Academic Press, 2022), 57–100, https://doi.org/10.1016/bs.pmbts.2022.03.002. [xx] Stefan Feuerriegel et al., “Causal Machine Learning for Predicting Treatment Outcomes,” Nature Medicine 30, no. 4 (April 2024): 958–68, https://doi.org/10.1038/s41591-024-02902-1. [xxi] Sunderland Baker et al., “Ethical Considerations in Closed Loop Deep Brain Stimulation,” Deep Brain Stimulation 3 (October 1, 2023): 8–15, https://doi.org/10.1016/j.jdbs.2023.11.001. [xxii] David Haslacher et al., “AI for Brain-Computer Interfaces,” 2024, 7, https://doi.org/10.1016/bs.dnb.2024.02.003. [xxiii] Burdette and Swartz, “Chapter 4 - Responsive Neurostimulation,” 103–4; “Premarket Approval (PMA),” https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P100026. [xxiv] Burdette and Swartz, “Chapter 4 - Responsive Neurostimulation,” 104. [xxv] Burdette and Swartz, 126. [xxvi] Sean L. Metzger et al., “A High-Performance Neuroprosthesis for Speech Decoding and Avatar Control,” Nature 620, no. 7976 (August 2023): 1037–46, https://doi.org/10.1038/s41586-023-06443-4. [xxvii] Hao Fang and Yuxiao Yang, “Predictive Neuromodulation of Cingulo-Frontal Neural Dynamics in Major Depressive Disorder Using a Brain-Computer Interface System: A Simulation Study,” Frontiers in Computational Neuroscience 17 (March 6, 2023), https://doi.org/10.3389/fncom.2023.1119685; Mahsa Malekmohammadi et al., “Kinematic Adaptive Deep Brain Stimulation for Resting Tremor in Parkinson’s Disease,” Movement Disorders 31, no. 3 (2016): 426–28, https://doi.org/10.1002/mds.26482. [xxviii] Young-Hoon Nho et al., “Responsive Deep Brain Stimulation Guided by Ventral Striatal Electrophysiology of Obsession Durably Ameliorates Compulsion,” Neuron 0, no. 0 (October 20, 2023), https://doi.org/10.1016/j.neuron.2023.09.034. [xxix] Nho et al. [xxx] Nho et al.; Erik Robinson, “Brain Implant at OHSU Successfully Controls Both Seizures and OCD,” OHSU News, accessed March 3, 2024, https://news.ohsu.edu/2023/10/25/brain-implant-at-ohsu-successfully-controls-both-seizures-and-ocd. [xxxi] Awuah et al., “Bridging Minds and Machines”; Haslacher et al., “AI for Brain-Computer Interfaces.” [xxxii] Awuah et al., “Bridging Minds and Machines.” [xxxiii] Sara Green, Barbara Prainsack, and Maya Sabatello, “The Roots of (in)Equity in Precision Medicine: Gaps in the Discourse,” Personalized Medicine 21, no. 1 (January 2024): 5–9, https://doi.org/10.2217/pme-2023-0097. [xxxiv] Green, Prainsack, and Sabatello, 7. [xxxv] Robyn Bluhm and Kirstin Borgerson, “An Epistemic Argument for Research-Practice Integration in Medicine,” The Journal of Medicine and Philosophy: A Forum for Bioethics and Philosophy of Medicine 43, no. 4 (July 9, 2018): 469–84, https://doi.org/10.1093/jmp/jhy009. [xxxvi] Vijay Mahant, “‘Right-to-Try’ Experimental Drugs: An Overview,” Journal of Translational Medicine 18 (June 23, 2020): 253, https://doi.org/10.1186/s12967-020-02427-4. [xxxvii] Michael S. Okun et al., “Deep Brain Stimulation in the Internal Capsule and Nucleus Accumbens Region: Responses Observed during Active and Sham Programming,” Journal of Neurology, Neurosurgery & Psychiatry 78, no. 3 (March 1, 2007): 310–14, https://doi.org/10.1136/jnnp.2006.095315.

This article reports a local study of the presence of history as a subject in the kindergartens of Kristiansand, a municipality in southern Norway. There is no syllabus for history in the national curriculum; nevertheless, the research sought to find historical content in the kindergartens. The research method was informed by a precept of history didactics, namely that history is everywhere. Using this observation, tentative categories for content likely to feature history were formulated, and then searched for in the individual yearly plans of the kindergartens. This was supplemented by interviews. It is concluded that, in accordance with the national curriculum, history in the kindergartens is a local affair. It emerges especially through local history, visits to museums, and projects with historical features. This research was not designed to determine whether learning outcomes in history are achieved, nor to consider kindergartens outside Kristiansand. However, it references a corpus of literature on history in Norwegian kindergartens, and interacts with it. The conclusion about the presence of the subject is the same as was found for another city, Trondheim, in research by others. For international readers, the article also argues that in principle it is possible for young children to learn history orally and informally.

Bernt Bratsberg, Simen Markussen, Oddbjørn Raaum et al.

Abstract We study assortative mating of Norwegian parents over five decades and its consequences for offspring outcomes. Parents are characterised by the earnings decile of their parents (the offspring's grandparents) as an indicator of social class. While assortative mating has remained stable across decades, parenthood has become more skewed toward the higher classes. Examining the influence on offspring education and employment, we find that the marginal effect of one parent's class is smaller the higher is the class of the other. Overall, mating trends have contributed to slight improvements in average education and employment and reduced inequality in the offspring generation.

Kristin Buvik Sivertsen

Denne artikkelen argumenterer for at en følelses- og affektbasert litteraturdidaktikk kan bidra til en mer aktiv og engasjerende litteraturlesing, i tillegg til å styrke elevens emosjonelle literacy. Både i utvalget av pensumtekster og i leserresponsen til elevene burde følelser spille en viktigere rolle. Utvalget av tekster kan baseres på deres affektive ladning, altså hva slags stemninger, følelser og affekter de setter i spill. Med utgangspunkt i Rita Felskis bruksperspektiv på litteratur i Uses of Litterature, påpekes det her at å undervise med utgangspunkt i følelsesmessig gjenkjennelse eller en litterær interaksjon preget av sjokk, er en tilnærming som ikke bare kan oppleves mer relevant for elevene, men som også oppfyller intensjonene med flere elementer i Fagfornyelsen. Artikkelen demonstrerer hvordan man kan arbeide affektbasert med litteratur i klasserommet med utgangspunkt i lesninger av bla. Monica Isakstuens Rase og Yahya Hassans Digte.

Nina Cecilie Øverby, Eli Anne Myrvoll Blomkvist, Elisabet Rudjord Hillesund

Background: Research on the association between breastfeeding duration and food neophobia is inconclusive. Breastfeeding and measures to reduce food neophobia are highly recommended to ensure a healthy diet early in life. Objective: The aim of this study was to evaluate the association between breastfeeding duration and food neophobia in young Norwegian children. Design: Participants (n = 246) were recruited through kindergartens in four Norwegian counties in 2017. The parents of 1-year-olds filled in questionnaires, including standardized questions on breastfeeding and food neophobia. Cross-sectional results are presented. Comparisons of child neophobia score at 16 months of age according to breastfeeding status at various timepoints during infancy were explored in linear regression models adjusted for maternal education and parental food neophobia. Results: Still being breastfed at 12 months and being exclusively breastfed at 5 months were independently associated with slightly higher food neophobia score at the mean age of 16 months compared to shorter duration of breastfeeding. We found no other associations between breastfeeding duration and child food neophobia. Discussion: Our study adds to the somewhat scarce literature regarding associations between breastfeeding mode and duration and later food neophobia; some literature shows protective relations between breastfeeding and food fussiness, and others report opposite or null findings. Conclusion: We found that both being breastfed at 12 months and being exclusively breastfed at 5 months were independently associated with slightly higher food neophobia score at the mean age of 16 months compared to shorter duration of breastfeeding. As the data are derived from a cross-sectional study, these findings should be interpreted with caution.

Wahlstrøm Simen

During the past decade, the use of Cross-Laminated Timber (CLT) elements has become gradually more popular and widespread in building construction in Norway. A study mapping the experience of CLT use in the Norwegian construction industry reveals that existing domestic literature on this topic is outdated and no longer relevant. This paper describes the methods used for preparing updated CLT construction guidelines. Information obtained from expert actors in the construction industry, combined with document studies, has formed the knowledge basis for this study. A total of 19 qualitative in-depth interviews were conducted, and more than 400 documents from 12 CLT projects were received from 11 actors. A CLT construction guide focusing on moisture safety design and rational production was prepared based on the information obtained, and was quality assured by 16 experts from industry and the research community. Guidance on the approach to preparation of the guide, its format and layout, was provided by SINTEF Science Communication. Critical feedback influenced the content of the guide and its design recommendations. The study shows that dialogue with the construction industry and research community is a valuable contribution to the preparation of structured construction solutions. The involvement of the industry has accentuated the importance of the preparation of CLT construction guidelines. It is hoped that the guide will inspire research institutions to prepare and publish updated guidelines.

Svein Arild Vis, Camilla Lauritzen, Sturla Fossum

The primary aim of this study is to summarise research findings about the use of assessment frameworks, that is, structured models that guide information collection and decision making in child protection services, by reviewing the literature. The research review method consisted of identification, selection, coding, categorisation and summary of publications on child protection investigative work. The results indicated that there is some documentation showing that the use of frameworks leads to more information being gathered, a greater focus on the needs of the child and increased involvement of the child during the investigation. One side effect is that the investigative work becomes more extensive and time-consuming.

Paritosh C. Deshpande, Helge Brattebø, Annik Magerholm Fet

The dangerous effects of Abandoned, Lost or Discarded Fishing Gears (ALDFG) is documented in the literature. However, there exists an overall lack of understanding in quantifying the pollution loads of fishing gears (FG) in territorial waters or on the beaches. The lack of data on FG life cycle results in mismanagement of one of the troublesome resources across the globe. In the remote and data-less situations, local stakeholders’ knowledge remains the only source of information. Therefore, in this article, we propose: • A methodology to extract fishers’ knowledge (FK) for generating evidence on FG handling and management practices in Norway. • The stepwise approach includes mapping of relevant stakeholders, drafting and finalizing a structured questionnaire using the Delphi method among experts to build the consensus and finally, statistically analyzing the recorded responses from the fishers. • The questions are designed to extract both qualitative and quantitative information on purchase, repair, gear loss and disposal rates of commercial FGs.The responses from 114 Norwegian fishers are recorded, analyzed and presented as a part of method validation.The evidence from the survey is then used as an input to coin the regional FG handling and management strategies in Norway. The presented method is proven a robust strategy to retrieve scientific information from the local stakeholders’ and can easily be replicated elsewhere to build global evidence around the ALDFG problematic. Method name: Design protocol of survey based questionnaire, Keywords: Fishers’ knowledge, Survey, Fishing gears, Marine pollution, Resource management, Delphi method, Questionnaire

E. S. Fagan, L. Pihlstrøm

Parkinson's disease is a highly heterogeneous disorder, where genetic factors are likely to contribute to clinical variability, including susceptibility to cognitive impairment and dementia. Monogenic forms of parkinsonism show distinct cognitive profiles, yet less is known about the impact of common genetic variants on cognition in sporadic Parkinson's disease. In a systematic review of the literature, the current results from genetic association studies of cognitive outcomes are summarized and prospects and challenges for future studies are discussed. Literature searches of the PubMed database were performed and studies using statistical methods to assess associations between genetic variation and any cognitive outcome in Parkinson's disease patients were included. For each of the candidate loci investigated in several studies, the current evidence is summarized and discussed. Sixty‐one articles meeting our inclusion criteria were identified, which were highly heterogeneous with respect to study design, size and cognitive outcome measures. GBA mutations have a negative impact on cognition, whereas LRRK2‐associated disease may have a milder cognitive phenotype than idiopathic Parkinson's disease. For common variants, reported results are partly conflicting, even across the larger studies, with some evidence to suggest a potential effect of APOE, MAPT, COMT and SNCA on cognitive outcomes. Future investigations should aim to collect high‐quality cognitive data in a standardized way that allows for direct comparison across studies and large‐scale meta‐analysis. Linking genetic profiles to cognitive outcomes may have an important clinical impact, facilitating the stratification of patients for clinical trials and, ultimately, individualized treatment in Parkinson's disease.

Hege Prag Øra, Melanie Kirmess, Marian C. Brady et al.

Abstract Background The Cochrane review on the effectiveness of speech and language therapy for aphasia following stroke suggests intensity of therapy is a key predictor for outcome. Current aphasia services cannot provide intervention at the intensity observed within trial contexts because of resource limitations. Telerehabilitation could widen access to speech-language pathologists (SLPs) in geographically remote contexts and reduce the time spent on travel by the therapist and patient. The current academic literature within this field is in its infancy, with few trials of speech and language therapy (SLT) delivered by videoconference. Our pilot randomized controlled trial (RCT) will explore feasibility aspects and effectiveness of telerehabilitation for aphasia in addition to standard SLT. Method/design Our study is a pragmatic, exploratory, pilot randomized controlled trial, where participants will be randomized to a telerehabilitation group or a control group. Both groups receive standard SLT (usual care) but the telerehabilitation group receives an additional 5 h of telerehabilitation per week over 4 weeks through videoconference. This additional telerehabilitation focuses on spoken language with an emphasis on word naming. We aim to include 40 patients in each group, with inclusion criteria being aphasia any time post stroke. Participants will be assessed blindly at pre-randomization (baseline), and 4 weeks and 4 months after randomization. The primary endpoint is naming ability 3 months after the completed intervention, measured by the Norwegian Basic Aphasia Assessment (NGA) naming subtest. Secondary endpoints include other subtests of the NGA, the VAST (Verb and Sentence Test) subtest sentence production, Communicative Effectiveness Index (CETI) and the Stroke and Aphasia Quality of Life scale (SAQOL-39). Experiences of patients and SLPs with telerehabilitation are assessed using questionnaires and semi-structured interviews. Statistical between group comparisons will be in line with an intention-to-treat analysis. Discussion This pilot RCT of intensive language training by videoconference will contribute new scientific evidence to the field of aphasia telerehabilitation. Here, we describe our trial which will explore the feasibility of telerehabilitation for aphasia as an intervention, our choice of primary and secondary outcome measures and proposed analyses. Our trial will provide information for the development and delivery of future definitive RCTs. Trial registration ClinicalTrials.gov, ID: NCT02768922. Registered on 11 May 2016. Last updated on 17 November 2017.

Andrei Rogatchevski, Yngvar B. Steinholt

Editorial foreword

Svenja Eidesen De Smedt, Grete Mehus

In Norway, many areas can be classified as rural on climatic, geographic or demographic grounds. The rural context means that nurses and patients face circumstances and situations that are different, or do not occur in urban areas. The aim of this study was to identify existing research literature to ascertain what is known about nursing in rural areas of Norway. Scoping review, following Arksey and O`Malley`s methodological framework was used. A total of 111 articles were identified from searching five databases, twenty articles were included. This study gives an overview of rural descriptions and also provides a geographic presentation of areas categorized as rural in existing Norwegian nursing research. Only eight of the twenty articles described the rural context. The lack of descriptions makes it difficult to compare and conclude on causal relationships in the field. Increased awareness and more research into challenges that confront patients and nurses in rural settings in Norway is needed.

S. Johnsen

C. Medina, H. Sattar, H. Phylaktou et al.

Pulverised biomass is increasingly being used for power generation in 100% biomass plants or mixed with coal as a way of reducing greenhouse gas emissions. The fire and explosion hazards of pulverised wood and other agricultural waste materials have been recognised for some time. However, safety data for biomass are very scarce in the public literature, and non-existent for upgraded biomass products such as torrefied biomass. This is largely due to the challenges that biomass poses for explosion characterisation in the standard methods (1 m3 ISO vessel or 20 L sphere). The authors have developed and calibrated a new system for the 1 m3 ISO vessel that overcomes these challenges. In this work we present the first data in the open literature for the explosion characteristics of torrefied biomass. Results for untreated Norway spruce wood and Kellingley coal are also included for comparison. Flame speeds and post-explosion residue analysis results are also presented. Torrefied spruce wood was found to be more reactive than Kellingley coal and slightly more reactive than its parent material in terms of KSt, Pmax and flame speed. The differences between coal and biomass samples highlight that it should not be assumed that safety systems for coal can be applied to torrefied or raw wood materials without suitable modifications.

Truls Tømmeraas, Terje Ogden

Abstract In the present study, the scaling up of Parent Management Training, Oregon Model (PMTO) in Norway was examined by investigating how large-scale dissemination affected the composition of the target group and the service providers by comparing child behavioral outcomes in the effectiveness and dissemination phases of implementation. Despite the larger heterogeneity of the service providers and the intake characteristics of the target group, which are contrary to the expectations that were derived from the literature, no attenuation of program effects was detected when scaling up PMTO. In Norway, a long-term-funded centralized center, combined with an active implementation strategy, seems to have affected the quality of PMTO delivered system-wide in services for children with behavior problems.