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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

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

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

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.

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

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

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

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

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.

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

Presentation at the 6th conference for the International Place Branding Association, Aix-en-Provence

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

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

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-

Introduction to the works of American poet Fanny Howe (b. 1940), icluding translations of five poems.

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 analysera två specifika fallstudier för att belysa utmaningar och möjligheter i interaktionen mellan elfordon och elnät. Den första fallstudien beha

Background: Several diagnostic prediction models to help clinicians discriminate between benign and malignant adnexal masses are available. This study is a head-to-head comparison of the performance of the Assessment of Different NEoplasias in the adneXa (ADNEX) model with that of the Risk of Ovarian Malignancy Algorithm (ROMA). Methods: This is a retrospective study based on prospectively include