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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

Cycle injection schemes are often encountered in underground hydrogen storage (UHS), and the involved hysteresis directly impacts storage and extraction efficiency. The geological formation generally has hierarchical features containing multiple-level pore sizes. Nevertheless, we still lack a comprehensive understanding of this phenomenon and the pore-scale mechanism behind the geometry affects sa

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

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

The goal of this article is to demonstrate the importance of pilot studies in empirical eye-tracking research. First, we show what can go wrong when proper pilot experiments are omitted for all phases of an eye-tracking study, from testing an experiment, conducting the data collection, to building, revising, and interpreting the data analysis. Second, we describe a series of eye-tracking studies a

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

Context. HR 10 has only recently been identified as a binary system. Previously thought to be an A-type shell star, it appears that both components are fast-rotating A-type stars, each presenting a circumstellar envelope. Although showing complex photometric variability, spectroscopic observations of the metallic absorption lines reveal variation explained by the binarity, but not indicative of de

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

The aerodynamic effects of ice accretion on wind turbine blades has been studied using numerical methods. The ice accretion process on an aerofoil was simulated using RANS based simulations. The aerodynamic performance of the iced aerofoil was then investigated using several turbulence models, including both LES and DES. The results show that the shape of the ice has a profound influence on the li

Accurate imputation is essential for the reliability and success of downstream tasks. Recently, diffusion models have attracted great attention in this field. However, these models neglect the latent distribution in a lower-dimensional space derived from the observed data, which limits the generative capacity of the diffusion model. Additionally, dealing with the original missing data without labe

Astronomers, such as Nic and Rebecca, are not the only ones orienting themselves using the stars. Animals, big and small, also navigate by starlight. In this last episode of the third season we invited Prof. Marie Dacke from the Department of Biology over to tell us about her research on the subject.In this third season we are also including some Cosmic Curiosities. These are some ideas, events o

We study the electronic structure of bulk 1T-TaSe_{2} in the charge-density wave phase at low temperature. Our spatially and angle-resolved photoemission data show insulating areas coexisting with metallic regions characterized by a chiral Fermi surface and moderately correlated quasiparticle bands. Additionally, high-resolution laser angle-resolved photoemission reveals variations in the metallic

The impact of climate on the annual cycle and interannual variability of CO2 fluxes is assessed in European evergreen needleleaf forests (ENFs) and deciduous broadleaf forests (DBFs) using observations from 19 sites, alongside outputs from process-based and data-driven models. All models capture the temporal phasing of CO2 fluxes, including a shorter sequestration period in northern rather than so

The eyeball is not rigid and deforms during saccades. As a consequence, the saccade waveform recorded by an eye tracker may depend on which structure of the eye is used to estimate eyeball rotation. Here, we systematically describe and compare signals co-recorded from the retina, the cornea (corneal reflection, CR), the pupil, and the lens (fourth Purkinje reflection, P4) during saccades. We found

In many tasks, participants are instructed to fixate a target. While maintaining fixation, the eyes nonetheless make small fixational eye movements, such as microsaccades and drift. Previous work has examined the effect of fixation point design on fixation stability and the amount and spatial extent of fixational eye movements. However, much of this work used video-based eye trackers, which have i