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The actor model of computation is an attractive representation for many applications because it explicitly captures concurrency and supports compile-time analyses such as buffer sizing and static scheduling. However, descriptions of applications in this model are often tied to specific frameworks and programming languages, making it difficult to integrate other frontends or target alternative arch
Förevarande artikel utgör en anpassad version av undertecknads docentföreläsning med samma titel, framförd den 5 juni 2026 vid Juridiska fakulteten, Lunds universitet inom ramen för Lunds skatteakademis seminarieserie.
Boreal forests play a vital role in the global carbon cycle, yet the stability of this sink is uncertain during a period of rapid global environmental change. Swedish forest biomass has increased in recent decades, yet it remains unclear whether primary and managed secondary forests have changed similarly, and to what extent changes are driven by stand-age or shifts in growth curves. This is becau
Debatt - Svenska dagbladet 2026-08-04Miljarder satsas – men vilka problem ska egentligen lösas? För vem? Och med vilka konsekvenser?
Wetlands in the boreal zone are a significant source of atmospheric methane, and hence they have been intensively studied with mechanistic models for the assessment of methane dynamics. The arctic-enabled dynamic global vegetation model LPJ-GUESS is one of the models that allow quantification and understanding of the natural methane fluxes at various scales ranging from local to regional and globa
The response of the terrestrial carbon cycle to climate change constitutes a considerable part of the uncertainty surrounding climate change. One of the largest sources of this uncertainty is the heterogeneity of the predictions of future climate made by different climate models (general circulation models, GCMs). Not only do GCMs differ in their climate sensitivities and in regional distributions
The literature foresees that services provided by academic development units (ADUs) will become more diversified in combination with higher demands on scholarliness in each action taken. ADUs are asked to engage in an increased variety of activities and content and the days when knowledge about classroom teaching or courses were enough are gone. However, the literature discusses less HOW ADUs sho
Generative AI has rapidly transformed professional knowledge work, yet prevailing prompt engineering paradigms frame effective human–AI interaction primarily as a matter of crafting better prompts. Even emerging multi-round optimization approaches tend to prioritize performance, consistency, and task completion rather than authorship preservation, evaluative reframing, and accountable decision-mak
Negative symptoms are among the most disabling dimensions of schizophrenia-spectrum disorders and are strongly associated with poorer long-term functioning. However, their interpretation in treatment trials remains challenging because apparent improvement in negative symptoms may partly reflect change in other domains, including depressive symptoms, quality of life, or secondary phenomena such as
Machine learning (ML) is increasingly being explored in medicine and healthcare to improve decision-making and predictive capabilities. However, further research is needed to effectively apply ML models to the reliable monitoring of infectious disease outbreaks using multivariate symptom surveillance data. A central component of such monitoring is anomaly detection. To address limitations in curre
In this paper, we investigate how the lockdown-induced exposure to remote work affected the likelihood of switching to longer commutes using a longitudinal full-population register of Swedish employees. We find that employees with little experience of longer commutes were more likely to start commuting longer if they had occupations with high potential for remote work. Examining heterogeneity acro
The aim of this paper is to develop and evaluate methods to analytically identify areas of a map that are difficult to read. The approach is to compare such areas that were found in user tests with two analytical methods: the threshold method and the cluster method. These methods are implemented and evaluation shows that both methods have the potential of identifying areas that are difficult to re
BACKGROUND: Non-suicidal self-injury (NSSI) is common in young adults and may represent a marker of current or emerging borderline pathology. However, rates of help-seeking for NSSI are low, potentially delaying recognition of clinically relevant borderline symptoms. To our knowledge, research on NSSI help-seeking has not examined whether help-seeking differs according to underlying borderline sym
Background/Objectives: Psychiatric inpatient care is characterised by power asymmetries between care providers and care receivers. Despite international guidelines and policies promoting autonomy, involvement, and empowerment, these ideals remain challenging to implement in clinical practice. Psychiatric self-admission has been developed to strengthen autonomy; however, its implementation may ch
Purpose: Flexible Assertive Community Treatment (FACT) is being implemented in Swedish general mental health services for persons with complex mental health needs. However, research addressing service users' participation in everyday life and its association to personal recovery is still scarce. The aim of this study was therefore to examine domains of participation and their association with two
Creation of maps in real-time web services introduces challenges concerning map readability. Therefore we must introduce analytical measures controlling the readability. The aim of this study is to develop and evaluate analytical readability measures with the help of user tests.
Villa Orsetta i Florens ritades av den svenska konstnären Anna Balsamo-Stella (1879-1957, född Åkerdahl) och är en tolkning av både den toskanska villatraditionens mattfullhet och den förfinade enkelhetens Swedish Grace. När Emilio Lancia i oktober 1929 presenterade projektet i den italienska tidskriften Domus framhöll han husets förmåga att hålla sig till traditionen "inom rimliga gränser", utan
Background. Developers increasingly review multi-file code changes generated by LLM-based agents, yet no validated end-to-end workflow or IDE tooling design exists for this scenario.Aims. We investigate (RQ1) the challenges developers face when reviewing LLM-generated multi-file changes and (RQ2) how developers envision effective workflows for this task.Method. In collaboration with JetBrains, we
AI-enabled software development tools (AI-devtools) are being industrially adopted under strong expectations of productivity gains, yet developers' experiences of such roll-outs are underexplored. Organizations commit budgets, evaluate staff, and revise practice on a partial picture, since the evidence base is mainly tool evaluations, productivity metrics, and surveys, with few qualitative in-situ
Background: Code degradation in large, long-lived codebases is costly to remediate through manual refactoring and opportunistic clean-ups. LLM-based coding assistants can perform mechanical remediation at scale, but their impact on industrial workflows is underexplored. Objective: We investigate how massive AI-assisted code remediation affects build-on-commit continuous integration (CI), code revi
