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Ground geophysical measurements made on mine-tailings in Sweden. Case studies and lessons learnt

Ground-based geophysical surveys were conducted at eight mine-tailings repositories during 2021 and 2022 to help preparing an inventory of potential sources of critical raw materials in mine-waste. Geophysical methods included ERT, DCIP, RMT, and tTEM. In this study, we show results obtained on two of the sites as an example. Integration of models of electrical properties, geological observations,

Financing an accelerated shift to zero emission vehicles by deploying High-Capacity Transport with Intelligent Access by 2024

The paper explores synergies by bundling High-Capacity Transport - Intelligent Access - Zero Emission Vehicle reforms. State of the art is analyzed, and research questions are formulated. One joint policy framework is proposed and applied to three use cases: one vehicle, one real use case, and one scenario for the whole of EU. In the later, the cost savings 2024 to 2028 from allowing longer and/or

Evolution of the structure of lipid nanoparticles for nucleic acid delivery : From in situ studies of formulation to colloidal stability

The development of lipid nanoparticle (LNP) based therapeutics for delivery of RNA has triggered the advance of new strategies for formulation, such as high throughput microfluidics for precise mixing of components into well-defined particles. In this study, we have characterised the structure of LNPs throughout the formulation process using in situ small angle x-ray scattering in the microfluidic

Optimal Phasors for Wideband RIS Transmissions

Configuring reconfigurable intelligent surfaces (RISs) based on a practical RIS model is a fundamental problem in RIS-assisted wireless transmission. In this work, we propose a concept named optimal phasor (OP), a latent quantity that can considerably help the practical model-based RIS configuration. Under such a concept, we can design versatile algorithms that are applicable to different RIS mode

Changes in T-Peak-to-T-End Morphology Measured by Time-Warping are Associated with Ischemia-Induced Ventricular Fibrillation in a Porcine Model

In this work, we use a time-warping-based morphology variation index, d_{w}, computed between the peak and the end of the T-wave, and assess its association with the occurrence of ventricular fibrillation (VF) episodes in ischemic conditions. ECG recordings from 26 pigs under-going a 40-minute coronary occlusion were analyzed. The d_{w} series was obtained by quantifying the morphological differen

Elective one-minute full brain multi-contrast MRI versus brain CT in pediatric patients : a prospective feasibility study

Background: Brain CT can be used to evaluate pediatric patients with suspicion of cerebral pathology when anesthetic and MRI resources are scarce. This study aimed to assess if pediatric patients referred for an elective brain CT could endure a diagnostic fast brain MRI without general anesthesia using a one-minute multi-contrast EPI-based sequence (EPIMix) with comparable diagnostic performance.

High capacity city transport with intelligent access - A Swedish case study of transporting excavated material

This project studies how the HCT-concept (High Capacity Transport) can be applied in cities, by performing pilots in Varberg and Stockholm. The project will test the hypothesis that the HCT-concept will improve both productivity construction and transport efficiency and thereby reduce CO2 by up to 40%. The pilots include tests of new optimized trucks and new concepts with sensors in trucks, machin

You can have your ensemble and run it too - Deep Ensembles Spread Over Time

Ensembles of independently trained deep neural networks yield uncertainty estimates that rival Bayesian networks in performance. They also offer sizable improvements in terms of predictive performance over single models. However, deep ensembles are not commonly used in environments with limited computational budget - such as autonomous driving - since the complexity grows linearly with the number

BIOMARKERS IN CANCER DETECTION AND MONITORING OF THERAPEUTICS : Diagnostic and Therapeutic Applications: Volume 2

Molecular Biomarkers in Cancer Detection and Monitoring of Therapeutics: Volume Two: Diagnostic and Therapeutic Applications discusses how molecular biomarkers are used to determine predisposition, facilitate detection, improve treatment and offer prevention guidelines for different cancers. It focuses on novel diagnostic techniques based on molecular biomarkers and their impact on treatment, cove

Polygon Detection for Room Layout Estimation using Heterogeneous Graphs and Wireframes

This paper presents a neural network based semantic plane detection method utilizing polygon representations. The method can for example be used to solve room layout estimations tasks and is built on, combines and further develops several different modules from previous research. The network takes an RGB image and estimates a wireframe as well as a feature space using an hourglass backbone. From t

Below, above and beyond – seagrass ecosystem functions in a connected coastal landscape

Seagrass meadows constitute important habitat for a plethora of organisms, rendering them important habitats for conserving biodiversity. Seagrass meadows also modify the environment by attenuating wave and current energy. As a result of this, seagrass meadows trap organic matter and in addition to their high productivity, are able to sequester carbon that is stored in their underlying sediments.

Interaktion mellan elfordon och elnät : Policys, regelverk och aktörer (delrapport 1)

Samhällets omställning till fossilfri energi innebär bland annat en ökad elektrifiering. I sin tur innebär en ökad elektrifiering också en högre efterfrågan på nya anslutningar till och behov av ökad kapacitet i elnätet. Syftet med delrapporten är att beskriva processen för att ansluta laddstationer till elnätet, den reglering som styr detta samt de olika aktörer som kan bli inblandade och vilka r

Children and adolescent's self-reported gaming habits – An exploratory, cross-sectional study of gaming among 9–15-year-old school children

Background: Gaming is one of the most common leisure activities among children and adolescents: virtually every child in Sweden plays some form of internet games. However, concerns have been raised regarding the risk of developing psychiatric disorders such as internet gaming disorder. A significant amount of research has been focused on evaluating hours spent gaming and the negative effect the ac

Monkeypox virus-associated meningoencephalitis diagnosed by detection of intrathecal antibody production

Background: In the 2022 mpox-outbreak most patients presented with mild symptoms. Central nervous system (CNS) involvement has previously been described as a rare and severe complication of mpox; however, diagnostic findings in cerebrospinal fluid (CSF) analysis and neuroimaging studies have only been reported in one case previously. Case presentation: We report a previously healthy 37-year-old ma

Overcoming small-bandgap charge recombination in visible and NIR-light-driven hydrogen evolution by engineering the polymer photocatalyst structure

Designing an organic polymer photocatalyst for efficient hydrogen evolution with visible and near-infrared (NIR) light activity is still a major challenge. Unlike the common behavior of gradually increasing the charge recombination while shrinking the bandgap, we present here a series of polymer nanoparticles (Pdots) based on ITIC and BTIC units with different π-linkers between the acceptor-donor-