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For the development of a joint European capacity for monitoring CO2 emissions, we created the framework “CO2 Monitoring Challenges City Mapbooks v1.0” (CMC-CITYMAP). It includes a Jupyter notebook tool (Storm et al., 2025a, https://doi.org/10.18160/P8SV-B99F) which we use to characterise and cluster cities based on aspects relevant for different CO2 monitoring challenges. These include:a. determin
This paper presents a novel approach to economic dispatch (ED) optimization in power systems through the application of Proximal Policy Optimization (PPO), an advanced reinforcement learning algorithm. The economic dispatch problem, a fundamental challenge in power system operations, involves optimizing the generation output of multiple units to minimize operational costs while satisfying load dem
Adaptive network dynamical systems describe the co-evolution of dynamical quantities on the nodes and the dynamics of the network connections themselves. For dense networks of many nodes, the resulting dynamics are typically high-dimensional. Here, we consider adaptive dynamical systems subject to constraints on network adaptation: Asymptotically, the adaptive dynamics of network connections evolv
The Lepidoptera, butterflies and moths, display an astonishing diversity of spatial orientation strategies essential for survival, reproduction, and ecological success. These spatial orientation strategies range from basic taxes to light, wind, gravity, and chemical cues, to more advanced strategies such as straight-line dispersal, multigenerational migration across continents, and complex trap-li
The purpose of cancer screening is to reduce mortality, and ideally incidence, from the cancer screened for. Until recently, cancer screening has been offered to all persons in pre-defined sex- and age-groups. The exception is lung screening which is targeted to high-risk individuals. Evidence for effect of screening on cancer-specific mortality is available for cancer of the cervix, breast, color
Objective: To evaluate the impact of pregestational diabetes on duration of active labour (DAL) in induced and spontaneous labour and to compare caesarean section (CS) rates and indications between women with and without diabetes. Design: A population-based cohort study. Setting: Sweden. Population: 243 537 nulliparous women, registered in the Swedish Pregnancy Register, who delivered a singleton
Across different domains, justice is considered either from a perspective concerning mind-independent features of a situation or from a perspective related to mind-dependent motives, traits or emotions. Although these approaches have generated valuable insights, they remain largely disconnected from each other. What is missing is an integrative framework that can explain how the objective features
The magnetic sense is the least understood sense and one of the last great mysteries of sensory physiology. How do animals sense and use the geomagnetic field (GMF) to orient successfully in space and time? Here we present experimental evidence showing that different insect species make use of the GMF to find their way. Interestingly, insects use the GMF for completely different navigational tasks
The extraordinary adaptability of invertebrates is in no small part due to their sense organs, and particularly their eyes, which help them to find food, locate mates, escape predators and migrate to new habitats. Even though most invertebrates do not see as sharply as we do, many see much better in dim light, can experience many more colors, can see polarized light and can clearly distinguish ext
Studying the behavior of multiple participants using networked eye-tracking setups is of increasing interest to researchers. However, to conduct such studies, researchers have had to create complicated ad hoc solutions for streaming gaze over a local network. Here we present TittaLSL, a toolbox that enables creating networked multi-participant experiments using Tobii eye trackers with minimal prog
The problem: wearable eye trackers deliver eye-tracking data on a scene video that is acquired by a camera affixed to the participant’s head. Analyzing and interpreting such head-centered data is difficult and laborious manual work. Automated methods to map eye-tracking data to a world-centered reference frame (e.g., screens and tabletops) are available. These methods usually make use of fiducial
We explore whether SAM2, a vision foundation model, can be used for accurate localization of eye image features that are used in lab-based eye tracking: corneal reflections (CRs), the pupil, and the iris. We prompted SAM2 via a typical hand annotation process that consisted of clicking on the pupil, CR, iris and sclera for only one image per participant. SAM2 was found to support better spatial pr
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
