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Assessing the potential of energy sharing through a shallow geothermal heating and cooling network

Shallow geothermal offers great potential to supply emission-free heating and cooling and has therefore a pivotal role in the transition of heating and cooling networks. This paper presents a novel heating and cooling network with possible geothermal energy sharing between decentralized borefields located at each building level. The system consolidates the benefits of both standalone and centraliz

Image post-processing for SILMAS : structured illumination light sheet microscopy with axial sweeping

In this article, we propose a post-processing scheme for the novel volumetric microscopy technique SILMAS. We demonstrate this scheme on data from an alpha-synuclein transgenic mouse brain. By combining structured illumination and axial sweeping, a SILMAS measurement provides a prerequisite for quantitative data extraction through improved contrast and optical sectioning. However, due to the techn

Testing Quantitative and Qualitative Sex Effects in a National Swedish Twin-Sibling Study of Posttraumatic Stress Disorder

OBJECTIVE: Twin studies have demonstrated that posttraumatic stress disorder (PTSD) is moderately heritable, and the pattern of findings across studies suggests higher heritability in females compared with males. Formal testing of sex differences has yet to be done in twin studies of PTSD. The authors sought to estimate the genetic and environmental contributions to PTSD, and to formally test for

Sex-and age-related variations in myocardial tissue composition of the healthy heart : a native T1 mapping cohort study

Aims: Cardiovascular diseases manifest differently in males and females, potentially influenced by inherent sex- and age-related differences in myocardial tissue composition. Such inherent differences are not well-established in the literature. With this study using cardiac magnetic resonance (CMR) native T1 mapping, we aim to determine the effect of sex and age on myocardial tissue composition in

To block or not : why the British ruling elite enabled the Industrial Revolution during the 18th century

This study explores why the ruling elite in 18th-century Britain not only allowed but actively supported industrialization. Economic rents, political power, and international competition are commonly cited as the reasons, but these explanations lack empirical evidence. By conducting a text analysis of parliamentary legislation and debates on the cotton industry, this study demonstrates that the ru

A Multi-Objective Optimization Approach for Solar Farm Site Selection: Case Study in Maputo, Mozambique

Solar energy is an important source of clean energy to combat climate change issues that motivate the establishment of solar farms. Establishing solar farms has been considered a proper alternative for energy production in countries like Mozambique, which need reliable and clean sources of energy for sustainable development. However, selecting proper sites for creating solar farms is a function of

Jingle-Jangle Fallacies in L2 Motivational Self System Research : A Response to Al-Hoorie et al. (2024)

In a systematic examination of scales commonly used in L2 Motivational Self System (L2MSS) research, Al-Hoorie et al. (2024) found discriminant validity problems. Raising jangle fallacy concerns, they argue that substantive research should be paused until validity issues are ironed out. However, validity at the measurement level is dependent on validity at the construct level. Replication attempts

Consequences of partially recessive deleterious genetic variation for the evolution of inversions suppressing recombination between sex chromosomes

The evolution of suppressed recombination between sex chromosomes is widely hypothesized to be driven by sexually antagonistic selection (SA), where tighter linkage between the sex-determining gene(s) and nearby SA loci is favored when it couples male-beneficial alleles to the proto-Y chromosome, and female-beneficial alleles to the proto-X. Although difficult to test empirically, the SA selection

The future vision(s) of AI health in the Nordics : Comparing the national AI strategies

Given the current hype around artificial intelligence (AI) in health, it is not surprising that we are seeing the well-established role and power of future visions being played out by a range of actors in the area. One example is the surge in the adoption of national AI strategies (NASs). NASs have a structuring function, justifying current political decisions as well as (re)framing the conditions

Agent-based social simulations for health crises response : utilising the everyday digital health perspective

There is increasing recognition of the role that artificial intelligence (AI) systems can play in managing health crises. One such approach, which allows for analysing the potential consequences of different policy interventions is agent-based social simulations (ABSS). Here, the actions and interactions of autonomous agents are modelled to generate virtual societies that can serve as a “testbed”

Regulation of biological processes by ubiquitin ligases: a focus on the Pagano Lab's contribution

Protein homeostasis depends on many fundamental processes including mRNA synthesis, translation, post-translational modifications, and proteolysis. In the late 70s and early 80s the discovery that the small 76 amino acid protein ubiquitin could be attached to target proteins via a multi-stage process involving ubiquitin-activating enzymes, ubiquitin conjugating enzymes, and ubiquitin ligases, reve

A Paradigm Shift in Plain Sight? AI and the Future of Healthcare in the Nordic States

All the Nordic states (except for Iceland at the time of analysis) have published a national artificial intelligence strategy (NAIS) document. The NAISs provide a window through which to view a consolidated point where states set out a socio-technical imaginary ostensibly focused on the impact of AI on the national society but, in so doing, communicate present-day value-laden assumptions. These fu

HHAI 2024: Hybrid Human AI Systems for the Social Good : Proceedings of the Third International Conference on Hybrid Human-Artificial Intelligence

The field of hybrid human-artificial intelligence (HHAI), although primarily driven by developments in AI, also requires fundamentally new approaches and solutions. Multidisciplinary in nature, it calls for collaboration across various research domains, such as AI, HCI, the cognitive and social sciences, philosophy and ethics, and complex systems, to name but a few. This book presents the proceedi

Circulating Interleukin 17A and Other Inflammatory Proteins May Predict Cardiovascular Disease in Early Rheumatoid Arthritis

Objective. The objective of this study was to investigate the impact of 92 inflammatory proteins on the risk of cardiovascular disease (CVD) in patients with early rheumatoid arthritis (RA). Methods. This study included consecutive patients with early RA recruited between 1995 and 2002. Stored plasma samples were analyzed for 92 inflammatory proteins. CVD diagnoses were retrieved from national in-

On the Importance of AI Research Beyond Disciplines: Establishing Guidelines

Artificial intelligence (AI) has evolved into a prominent player in various academic disciplines, transforming research approaches and knowledge generation. This paper explores the growing influence of AI across diverse fields and advocates for meaningful interdisciplinary AI research. It introduces the concept of "agonistic-antagonistic" interdisciplinary research, emphasizing a departure from co

Best Scanline Determination of Pushbroom Images for a Direct Object to Image Space Transformation Using Multilayer Perceptron

Working with pushbroom imagery in photogrammetry and remote sensing presents a fundamental challenge in object-to-image space transformation. For this transformation, accurate estimation of Exterior Orientation Parameters (EOPs) for each scanline is required. To tackle this challenge, Best Scanline Search or Determination (BSS/BSD) methods have been developed. However, the current BSS/BSD methods

Who is Deciding the Future Role of AI in Healthcare in the Nordics?: A Research Brief

The future role of AI in healthcare is largely seen as positive, inevitable, necessary, and driven by the private sector. These dominant narratives obscure decision-making about these future applications, with little room for political scrutiny, or public participation. Public, and private resources, are being funnelled to support various AI health technologies. By prioritising some and not others

Impact of a short-term Mediterranean diet intervention on plasma metabolites : a pilot study

Background: Dietary habits significantly influence the risks of type 2 diabetes and cardiovascular disease. Through metabolomics, we’ve previously measured plasma metabolites to gauge dietary quality, introducing a healthy dietary metabolic signature (HDMS) linked to a decreased risk of future type 2 diabetes and coronary artery disease. Objectives: To assess the impact of a 6-day dietary interven

Arabidopsis transcription factor ANAC102 predominantly expresses a nuclear protein and acts as a negative regulator of methyl viologen-induced oxidative stress responses

Plants, being sessile organisms, constantly need to respond to environmental stresses, often leading to the accumulation of reactive oxygen species (ROS). While ROS can be harmful, they also act as second messengers guiding plant growth and stress responses. Because chloroplasts are sensitive to environmental changes and are both a source and a target of ROS during stress conditions, they are impo

Excess mortality in Denmark, Finland, Norway and Sweden during the COVID-19 pandemic 2020–2022

Background: The Nordic countries represent a unique case study for the COVID-19 pandemic due to socioeconomic and cultural similarities, high-quality comparable administrative register data and notable differences in mitigation policies during the pandemic. We aimed to compare weekly excess mortality in the Nordic countries across the three full pandemic years 2020–2022. Methods: Using data on wee