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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

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

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

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

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”

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

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

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

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-

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

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

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

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

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

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

This piece is a comparative analysis of major parties’ manifesto pledges on AI for the 2024 UK general election.

In response to the rising needs for long-term research and innovation in the field of critical raw material exploration, the Smart Exploration Research Centre was established in 2024 in Sweden. Funded by the Swedish Foundation for Strategic Research (SSF), this initiative involves collaboration among academic institutions, industry, and the public sector. Building on the H2020-funded Smart Explora

BackgroundAccurate tumor volume estimation is important for evaluating the response to radionuclide therapy and external beam radiotherapy as well as to other pharmaceuticals. A common method for monitoring the growth of subcutaneous tumors in pre-clinical models and assessing the treatment response is to measure the tumor length and width by external calipers to estimate its volume. This procedur

This study introduces silicon substrates with a switchable magnetic contrast layer (MCL) for polarized neutron reflectometry (PNR) experiments at the solid–liquid interface to study soft-matter surface layers. During standard neutron reflectometry (NR) experiments on soft-matter samples, structural and compositional information is obtained by collecting experimental data with different isotopic co

Partitioned polygenic scores (pPS) have been developed to capture pathophysiologic processes underlying type 2 diabetes (T2D). We investigated the association of T2D pPS with diabetes-related traits and T2D incidence in the Diabetes Prevention Program. We generated five T2D pPS (b-cell, proinsulin, liver/lipid, obesity, lipodystrophy) in 2,647 participants randomized to intensive lifestyle, metfor