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Aquifer classification plays a pivotal role in understanding groundwater dynamics and informing sustainable water resource management, especially in regions under significant stress from over-extraction. This study presents a novel remote sensing-based methodology for classifying aquifers represented by monitoring wells within the study area. The approach integrates stress-strain analysis, incorpo
The study is devoted to the development of the 2DCAM hardware and software complex for the physical modeling of the two-coordinate positioning system of the additional video camera of the UAV using the Simulink environment. DYNAMIXEL actuator systems were used to create a complex prototype. They combine DC motor, reduction gearhead, controller, driver and network components.The AH-12A actuator is
Idag lever allt fler människor under förhållanden som definieras som prekära. Även i avancerade välfärdssamhällen lyckas inte de traditionella trygghetssystemen erkänna och hantera de nya sociala risker som dessa grupper inom ”prekariatet” ställs inför. Bland dessa grupper finner vi migrantkvinnor med osäker rättslig ställning. Denna forskning undersöker hur aktörer i akademin och i civilsamhälletIn advanced welfare societies, traditional welfare programs are failing to recognize and respond to new social risks faced by groups in precarious life situations, including migrant women. This research explore how actors in academic and civil society settings recognize and frame the struggles of migrant women with precarious legal status, particularly in terms of gender-based violence (GBV) and a
This study presents a digital solution for inducing visually-induced motion sickness (VIMS) using a head-mounted display (HMD) in a virtual environment. By digitally replicating off vertical axis rotation by adopting the Epley Omniax Chair, we induce sensory conflicts between the visual and vestibular systems through rotational vection, alongside optokinetic stimulation inspired by the Optoki-neti
Interpretation of data from faint dwarf galaxies is made challenging by observations limited to only the brightest stars. We present a major improvement to tackle this challenge by undertaking zoomed cosmological simulations that resolve the evolution of all individual stars more massive than 0.5 M⊙, thereby explicitly tracking all observable stars for the Hubble time. For the first time, we predi
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
Accurate quantification in emission tomography is essential for internal radiopharmaceutical therapy dosimetry. Mean activity concentration measurements in objects with diameters less than 10 times the full width at half maximum of the imaging system’s spatial resolution are significantly affected (>10%) by the partial-volume effect. This study develops a framework for PET and SPECT spatial resolu
In Nordic countries, demand response (DR) programs are critical for enhancing energy flexibility and reducing peak electricity consumption in buildings and industry. Accurate short-term demand forecasting is essential to support these programs, especially in the context of cities with varying levels of data availability. This paper compares three different forecasting approaches for hourly electri
Work and working conditions are fundamental social determinants of health. Climate change poses an urgent and growing threat to workers' health, through both direct exposure to environmental hazards and indirect exacerbation of social and health inequalities. Occupational health, which focusses on the promotion of mental and physical health and well-being of workers, is a key but often overlooked
Diabetic kidney disease (DKD) is a health burden that lacks specific and early diagnostic biomarkers. For their discovery, we sequenced urinary extracellular vesicle miRNAs in a type 1 diabetes cohort of males with and without DKD. The results were replicated by sequencing or qPCR in two independent cohorts and six published datasets, including type 1 and 2 diabetes, and both sexes. We also valida
Jorunn Joiner and Mari Komnæs also employ digital tools, albeit other ones, to shed light on the interaction between narratives of exceptionalism, travel, and place. In ‘Mapping Nordic Exceptionalism with GIS: The Odin Migration Theory and the Search for a Northern Heritage’, they use digital mapping tools to visualise the journeys of two travellers from different centuries in their search for a N
The question of the legal permissibility of heritable gene editing techniques is unsettled. The international consensus opposes clinical research and applications involving germline modifications. Building on previous work, this paper examines how international human rights law, particularly human right to science standards, can inform the regulation of this controversial advancement. We present t
Abstract: Diffusion-weighted imaging (DWI) offers critical insights into tissue microstructure through the assessment of water molecule random displacements and plays a central role in the assessment of neoplastic and non-neoplastic diseases. To successfully implement and use DWI in clinical practice, guidelines for acquisition, interpretation of image contrast and of artefacts should be followed,
Robotic systems often face execution failures due to unexpected obstacles, sensor errors, or environmental changes. Traditional failure recovery methods rely on predefined strategies or human intervention, making them less adaptable. This paper presents a unified failure recovery framework that combines Vision-Language Models (VLMs), a reactive planner, and Behavior Trees (BTs) to enable real-time
Robotic systems often face execution failures due to unexpected obstacles, sensor errors, or environmental changes. Traditional failure recovery methods rely on predefined strategies or human intervention, making them less adaptable. This paper presents a unified failure recovery framework that combines Vision-Language Models (VLMs), a reactive planner, and Behavior Trees (BTs) to enable real-time
Purpose: The Workplace Dialogue is a digitalized method directed at managers. The purpose of this study was to explore managers’ experiences of using the digital Workplace Dialogue in cases of employee ill-health. Design/methodology/approach: The Workplace Dialogue provides an easy and accessible method for managers, including text, short films, client examples and concrete guides that provides su
Ethylcellulose thickened oil (EC oleogels) has a significant retarding effect on lipolysis and may be used for controlled-release formulations. However, the high temperature (above 150 °C) used during the gel-forming process becomes an obvious limitation that hinders the application of EC oleogels to temperature-sensitive active ingredients. A cold-mixing procedure that could allow for an encapsul
