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In an internet age when a viral sensationalist story gains far more traction than a nuanced and balanced discussion, we have become used to some politicians, media and web-based influencers bending the truth to create a misguided or distorted narrative that many people unquestioningly believe. This should never happen in science, but even here standards are sadly deteriorating. In my editorial I w
Context. The present-day spatial and kinematic distribution of stars in the Milky Way provides key constraints on its internal dynamics and evolutionary history. However, identifying the correct tracers that highlight the mechanisms is far from straightforward. The best probes are stars that stand out in terms of kinematics, chemistry, or age compared to the underlying population to which they bel
TiSe2 has long been considered one of the best candidate materials to host the elusive excitonic insulator (EI) phase. However, a finite coupling to the lattice can generically be expected, while a lack of "smoking-gun"signatures for the importance of the electron-hole interaction in driving the phase transition has rendered it challenging to distinguish the EI from the conventional charge-density
Construction with timber is becoming increasingly popular, partially due to its environmental benefits in comparison to steel and concrete. This is especially true for cross-laminated timber (CLT) panels an engineered wood product consisting of stacked timber lamellae oriented perpendicu-larly to each other. CLT panels have high stiffness in comparison to its mass, which leads to a sensitivity to
Radicalization is most often seen as a gradual process that may or may not lead to radical or extreme behaviors such as terrorism. Theories on the radicalization process often highlight the potential role of social exclusion in the propensity for radicalization. We here present some of the major radicalization theories and discuss exclusion as a common denominator that could trigger a radicalizati
DNA replication relies on precise coordination between proteins, including the sliding clamp proliferating cell nuclear antigen (PCNA), which encircles DNA to interact with key players in replication and repair. While biochemical studies have demonstrated interactions between PCNA and DNA polymerases δ and ε during DNA synthesis, the functional role of the Pol ε–PCNA interaction in vivo, particula
Viruses are ubiquitous in all environments and impact host metabolism, evolution, and ecology, although our knowledge of their biodiversity is still extremely limited. Viral diversity from genomic and metagenomic datasets has led to an explosion of uncultivated virus genomes (UViGs) and the development of specialized databases to catalog this viral diversity, though many lack comprehensive integra
Background The risk of perinatal death and severe neonatal morbidity increases : gradually after 41 weeks of pregnancy. We evaluated maternal and perinatal outcomes after a national shift from expectancy and induction at 42+0 weeks to a more active management of late-term pregnancies in Sweden offering induction from 41+0 weeks or an individual plan aiming at birth or active labour no later than 4
Albeit costly, flight allows birds to travel great distances in a short time, making it a highly effective mode of locomotion, especially during migration.1,2 Understanding how birds use energy during flight is essential for studying their flight ecology.3 To fly, birds flap their wings, accelerating surrounding air and generating flight forces, where the rate of energy added to the wake represent
The recent Kunming-Montreal Global Biodiversity Framework (GBF) sets ambitious goals but no clear pathway for how zero loss of important biodiversity areas and halting human-induced extinction of threatened species will be achieved. We assembled a multi-taxa tracking dataset (11 million geopositions from 15,845 tracked individuals across 121 species) to provide a global assessment of space use of
Drought is a significant natural hazard that severely challenges water resource management and agricultural sustainability. This study aims to propose a novel approach for predicting streamflow drought indices (SDI-3, SDI-6, and SDI-12) in humid continental (Stockholm) and semi-arid (ELdiem) climates at different time-steps. The approach utilizes a Quantile Regression Neural Network (QRNN) coupled
How do you control a superintelligent artificial being given the possibility that its goals or actions might conflict with human interests? Over the past few decades, this concern– the AGI control problem– has remained a central challenge for research in AI safety. This paper develops and defends two arguments that provide pro tanto support for the following policy for those who worry about the AG
Birds regularly moult their feathers when they are worn from use such as mechanical wear damage due to UV exposure or accidents. Moulting generates temporary, generally symmetric, wing gaps, which can reduce flight performance by altering aerodynamic forces, lift and drag. Birds can compensate for some of these effects through mass loss, enlarged flight muscles, and adaptive wing morphing. To circ
System-level brain modeling is a powerful method for building computational models of the brain and allows biologically motivated models to produce measurable behavior that can be tested against empirical data. System-level brain models occupy an intermediate position between detailed neuronal circuit models and abstract cognitive models. They are distinguished by their structural and functional r
Rapid and accurate generation of building damage maps (BDMs) following earthquakes is crucial for effective disaster response and rescue operations. With the increasing availability of optical very high-resolution remote sensing (OVHR-RS) images, two considerable deep learning challenges arise: (1) developing robust models for data-rich regions and (2) adapting pre-trained models for areas with li
In contemporary enterprises, customer satisfaction analysis has become a critical area of concentration. Being able to understand and predict customer satisfaction is becoming more and more important as companies try to develop and launch new products. Leveraging customer data intelligently and employing robust data analytics techniques are essential for meeting this imperative. With this objectiv
A large number of cities have created semantic 3D city models, but these models are rarely used as input data for simulations, such as noise and flooding, in the urban planning process. Reasons for this are that many simulations require detailed land cover (LC) and elevation data that are often not included in the 3D city models, and that there is no linkage between the elevation and land cover da
