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Cubosomes are self-assembled lipid nanoparticles with a unique structure that hold significant promise for drug delivery. Cubosomes can encapsulate and transport a wide range of pharmaceuticals and imaging agents, potentially enhancing targeted therapies and medical imaging applications. Although there is growing interest in using cubosomes as drug delivery vehicles, their interactions with biolog
Background: A wrist-worn wearable device for acquiring limb and chest ECG leads (wECG) may constitute a promising approach to detection of acute myocardial infarction (AMI). However, it remains to be demonstrated whether the information conveyed by the wECG is sufficient for AMI detection. Objective: To explore explainable machine learning models for detecting AMI using the wECG. Methods: Two type
Background and Aim: Irritable bowel syndrome (IBS) is characterized by abdominal pain and altered bowel habits. Overweight and poor nutrient intake has been described in these patients. The aim of the study was to estimate nutrient intake in IBS, and to relate symptoms with nutrient intake and weight. Methods: Patients with IBS diagnosed according to Rome IV, without other severe diseases, complet
Diamond X-Ray Beam Position Monitors (XBPM®) can be used at beamlines of Synchrotron Light Sources for the measurement of the beam position and beam intensity. The accurate calculation of the beam position and intensity relies on the precise and fast readout systems for the current signals of an XBPM®. XANDY, the X-Ray Beam Position Monitoring System by CIVIDEC, measures the beam position and inte
Violent offenders are a heterogeneous group where criminogenic needs often are substantial and violent behaviors persistent. Risk, Need, and Responsivity (RNR)-based treatment has shown effect on reducing the risk for recidivism in violent crime, but the development of novel treatments is crucial in making the change process more effective. Virtual Reality (VR) technology may be a tool to improve
For circular retail models to successfully replace linear consumption in the future, retailers must understand the lived reality of second-hand customer journeys. However, existing customer journey mapping methods often fail to capture the non-linear, phygital, and multi-retailer nature of such journeys. This article introduces ‘messy customer journey self-mapping’, a novel qualitative method desi
The aim of this study was to describe prerequisites for online collaboration for user participation in co-design of online digital services as perceived by people with impairments and to develop requirements for how online collaboration should be designed to be accessible for all participants. An exploratory study was conducted in parallel to activities in two co-design projects. Researchers, acce
This paper introduces a novel diffusion-based method for learning representations from categorical data. Conditional diffusion models have demonstrated their potential to extract meaningful representations from input samples. However, they often struggle to yield versatile, multi-task information, limiting their adaptability to unforeseen tasks. To address this, we propose a cycle conditioning app
While fungal necromass is increasingly recognized as a major source of persistent carbon (C) in soils, the relative functional roles of bacteria and fungi in decomposing necromass are not fully resolved, and the processes that select for necromass decomposer communities from the broader soil microbial community are an emerging area of interest. In this study, we characterized the growth of 52 bact
ISSUES: Although alcohol consumption is linked to atrial fibrillation (AF), the relationship across different intake levels and between sexes remains unclear. This study presents the first network meta-analysis of prospective cohort studies bringing greater precision to these associations.APPROACH: A systematic review identified five meta-analyses on alcohol and AF risk. From these, 13 cohort stud
Solving partially observable Markov decision processes (POMDPs) typically requires reasoning about the values of exponentially many state beliefs. Towards practical performance, state-of-the-art solvers use value bounds to guide this reasoning. However, sound upper value bounds are often computationally expensive to compute, and there is a tradeoff between the tightness of such bounds and their co
Nanowires are promising structures for next-generation photonic devices due to their superior structural, optical, and electronic properties compared to thin films. In this study, unexpected electrostatic potential wells across the non-polar m-plane and at the core/shell interface in n-type GaN core/shell nanowires, grown via metal-organic vapor phase epitaxy, are reported. Using advanced electron
Ruthenium-based materials are promising alternatives to expensive platinum for the anodic hydrogen oxidation reaction (HOR) in anion exchange membrane fuel cells (AEMFCs), but face stability issues due to the strong oxophilicity. Here, an oxidation-resistant ruthenium multigrain catalyst is reported that exposes rich (10 (Formula presented.) 1) facets for high-performing HOR catalysis in alkaline
Inferring the causal structure underlying stochastic dynamical systems from observational data holds great promise in domains ranging from science and health to finance. Such processes can often be accurately modeled via stochastic differential equations (SDEs), which naturally imply causal relationships via 'which variables enter the differential of which other variables'. In this paper, we devel
Background: This study aimed to describe eating patterns among individuals with overweight and obesity and to investigate associations between eating patterns and anthropometric measures, including body mass index (BMI) and waist circumference, and blood pressure. Methods: This study enrolled a cohort of adults with overweight or obesity (n = 176) participating in a clinical trial focused on weigh
Introduction: Animation transfers human races into animals, serving as a prime site for speciesism and racism.Methods: Testing this observation on recent examples, our quantitative/qualitative study delves into a nine-year (2016-2024) span of Oscar-nominated animated feature and short films. We theorize how to make incisive, quantitative/qualitative, balanced trans-species intersectionality the fo
