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Introducing Trace as an Embodied Approach to the Novel in English
Trace is a versatile concept with a wide spectrum of applications beyond detective fiction. Indeed, trace offers a key for gauging novel reading experiences. The collected articles exemplify that the qualities of trace, as conceptualised by Paul Ricoeur’s hermeneutical phenomenology, help to unfold the relation of embodiment and the novel. The essays examine the manner in which trace inside the no
Traces of the Queer Child in Shuggie Bain
Known as the winner of the 2020 Man Booker Prize, Douglas Stuart’s debut novel Shuggie Bain evokes childhood queerness, which is entangled in the deindustrialised urban landscape of 1980s Glasgow. Synthesising queer and trace theory in nine steps—disruption, bent temporality, materiality and embodiment, physical orientation, medium specificity, reading and bearing traces, involuntariness and the l
Saving time for activation or relationships? : The legitimation and performance of automated decision-making for time efficiency in two street-level bureaucracies serving poor and unemployed clients
In the last decade, digitalized automated decision-making (ADM) has been implemented in many Swedish municipal social services to achieve values such as legal security, client empowerment and time efficiency. The paper aims to understand how ADM policy is legitimized and performed through time efficiency, by a comparison of ADM policy in two Swedish municipalities’ social assistance agencies. It bIn the last decade, digitalized automated decision-making (ADM) has been implemented in many Swedish municipal social services to achieve values such as legal security, client empowerment and time efficiency. The paper aims to understand how ADM policy is legitimized and performed through time efficiency, by a comparison of ADM policy in two Swedish municipalities’ social assistance agencies. It b
Metabolomics-based analysis in Daphnia magna after exposure to low environmental concentrations of polystyrene nanoparticles
Larger plastic pieces break down into micro- and eventually nano-sized plastics. This makes nanoplastics ubiquitous in the environment, giving rise to great concern for its effect on biota. Many studies use polystyrene nanoparticles (PS-NPs) as a model for nanoplastics, showing a negative impact on various organisms, but the molecular effects are yet not fully explored. Here we applied 1H nuclear
Welfare within planetary limits: deep transformation requires holistic approaches
In January 2023, Anders Rhiger Hansen visited Lund University to talk to Max Koch about sustainable welfare, human needs, social inequality and a little bit about Bourdieu. The message from Max was clear: politicians need to drop the idea of green growth and instead define a safe and just operating space to determine what can be done within this space. His sociological approach combines Marxian an
Applying genetic technologies to combat infectious diseases in aquaculture
Disease and parasitism cause major welfare, environmental and economic concerns for global aquaculture. In this review, we examine the status and potential of technologies that exploit genetic variation in host resistance to tackle this problem. We argue that there is an urgent need to improve understanding of the genetic mechanisms involved, leading to the development of tools that can be applied
How Swedish Residents Navigate Global Medical Markets
Att vara sjuk på 1500-talet
Measuring misophonia in youth: A psychometric evaluation of child and parent measures
BackgroundMisophonia is characterized by intense emotional reactions to specific sounds or visual stimuli and typically onsets during childhood. An obstacle for research and clinical practice is that no comprehensively evaluated measures for pediatric misophonia exist.MethodsIn a sample of 102 youth meeting the proposed diagnostic criteria of misophonia, we evaluated the child and parent-proxy ver
Psychotic Vulnerability and its Associations with Clinical Characteristics in Adolescents with Obsessive-Compulsive Disorder
Compared to peers, children and adolescents with obsessive-compulsive disorder (OCD) are at increased risk of developing psychotic disorders. Yet very few studies have examined early indicators of psychosis in pediatric OCD. In the present study, 52 youth with a primary diagnosis of OCD (Mage = 15.66 [SD = 2.33], 59.6% girls) were interviewed using the Schizophrenia Proneness Instrument Child and
Ending fossil-based growth: Confronting the political economy of petrochemical plastics
The expanding petrochemical industry depends on fossil fuels both as feedstock and a source of energy and is at the heart of the intertwined global crises relating to plastics, climate, and toxic emissions. Addressing these crises requires uprooting the deep-seated lock-ins that sustain petrochemical plastics. This perspective identifies lock-ins that stand in the way of ambitious emission reducti
Glucocorticoid-mediated induction of ZBTB16 affects insulin secretion in human islets and EndoC-βH1 β-cells
Glucocorticoid use is associated with steroid-induced diabetes mellitus and impaired pancreatic β-cell insulin secretion. Here, the glucocorticoid-mediated transcriptomic changes in human pancreatic islets and the human insulin-secreting EndoC-βH1 cells were investigated to uncover genes involved in β-cell steroid stress-response processes. Bioinformatics analysis revealed glucocorticoids to exert
Alkali-stable polybenzimidazole anion exchange membranes tethered with N,N-dimethylpiperidinium cations for dilute aqueous KOH fed water electrolyzers
Polybenzimidazole (PBI) is currently considered as a membrane material for alkaline water electrolyzers (AWEs), and has to be fed with highly concentrated aqueous KOH electrolytes in order to ensure sufficient electrolyte uptake and conductivity. However, the harsh operating conditions significantly limit the lifetime of PBI membranes. In response, we here report on the synthesis and performance o
Economic Preferences and Personality Traits Among Finance Professionals and the General Population : Characteristics of Finance Professionals
Based on artefactual field experiments, we investigate whether finance professionals differ from a sample of the working population in terms of industry-relevant preferences and personality traits. When adjusting for socioeconomic characteristics, we find only few and less marked differences: finance professionals are less risk averse, less trustworthy, show higher levels of psychopathy and are mo
Geography at work : Practices, technologies, imaginaries
Sample preparation effect on measured rheological properties of bitumen using Dynamic Shear Rheometer
Through improved bitumen characterization, which will increase the road'sdurability, stability, and performance, pavement engineering can apply thesustainability notion that should be followed in all disciplines nowadays. The newtechniques distinguish between the rheological properties of bituminous binders as a function of loading time and temperature to depict real-world behavior rather than onl
Complementary Pathways as “Genuine and Effective Access to Means of Legal Entry” in the Reasoning of the European Court of Human Rights
Complementary pathways are often viewed as an entirely political matter. While there is no legal obligation for states to introduce such, this article shows that their presence or absence has a bearing on how the ECtHR assesses compliance with the prohibition of collective expulsion of aliens. This concrete interaction between complementary pathways and human rights law has been introduced through
Understanding the spatial non-stationarity in the relationships between malaria incidence and environmental risk factors using Geographically Weighted Random Forest : A case study in Rwanda
As found in the health studies literature, the levels of climate association between epidemiological diseases have been found to vary across regions. Therefore, it seems reasonable to allow for the possibility that relationships might vary spatially within regions. We implemented the geographically weighted random forest (GWRF) machine learning method to analyze ecological disease patterns caused