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Messy customer journey self-mapping : A qualitative method for the future of second-hand retail and consumption

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

Tighter Value-Function Approximations for POMDPs

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

Point Defect Induced Potential Wells across the m-Plane of Core/Shell GaN Nanowires

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

Multigrain Ruthenium Nanocrystals with Enriched (101¯1) Facets for Enhanced Hydrogen Oxidation in Anion Exchange Membrane Fuel Cells

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

Different Worlds : A Qualitative Study on the Use of VR Treatment in Prison to Change for the Real World

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

Intake of fiber and micronutrients in patients with IBS

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 XBPM®for feedback control of the X-ray beam position

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

Landscape of microRNA and target expression variation and covariation in single mouse embryonic stem cells

microRNAs are small RNA molecules that can repress the expression of protein-coding genes post-transcriptionally. Previous studies have shown that microRNAs can also have alternative functions, including influencing target expression variation and covariation, but these observations have been limited to a few microRNAs. Here we systematically study microRNA alternative functions in mouse embryonic

Navigating the therapeutic landscape in advanced Parkinson’s disease : a comprehensive review from infusion therapies to stem cells

Introduction: Oral dopaminergic treatment is the cornerstone of Parkinson’s disease (PD) management. However, progressive shortening of oral levodopa’s effect, along with the limited efficacy of enzyme inhibitors and dopamine agonists, does not allow to adequately control motor and non-motor complications characterizing advanced PD. At this stage, device-aided therapies (DATs), including infusion

CPAP to Reduce the Risk of Cancer in OSA?—A Meta-Analysis of 3 RCTs

Obstructive sleep apnea (OSA) has been hypothesised to promote cancer via intermittent hypoxia, and assessing what happens when OSA is controlled by continuous positive airway pressure (CPAP) may provide valuable insight. We conducted a meta-analysis of three randomised controlled trials (SAVE, RICCADSA, ISAACC) assessing cancer incidence from adverse event data on neoplasms among OSA patients ran

Clinical translation of fluid, imaging, and digital biomarkers for Alzheimer's disease

Alzheimer’s disease (AD) is the most common neurodegenerative disorder, affecting millions worldwide. The clinical presentation of AD is heterogenous and often complicated by the presence of multiple co-pathologies, which can overlap with features of other neurodegenerative disorders, underscoring the need for tools to aid accurate and timely diagnosis. Biomarkers for AD span multiple modalities a

New tests of equal forecast accuracy for factor-augmented regressions with weaker loadings

We provide the theoretical foundation for the recent tests of equal forecast accuracy and encompassing by Pitarakis (2023) and Pitarakis (2025), when the competing forecast specification is that of a factor-augmented regression model. This should be of interest to practitioners, as there is no theory justifying the use of these simple and powerful tests in such a context. In pursuit of this, we em

Applying Infomap-based Hierarchical Community Detection for Multi-Level City On-Demand Delivery Management

Efficient management of on-demand delivery systems is essential for modern urban logistics, especially in densely populated cities with complex spatial layouts. This study introduces a novel, computer-supported cooperative framework that utilizes Infomap-based hierarchical community detection to analyze spatial multilevel clustering patterns. The experiment was conducted to large scale on-demand d

ECG-Based Detection of Acute Myocardial Infarction Using a Wrist-Worn Device

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

User participation in co-design–requirements for accessible online collaboration : an exploratory study

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

Cycle Conditioning for Robust Representation Learning from Categorical Data

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

Bacterial and fungal growth on fungal necromass and its diverse components : Shared profiles and divergent constraints revealed by high-throughput phenotyping

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

Alcohol Consumption and Atrial Fibrillation Risk : An Overview of Systematic Reviews and Network Meta-Analysis

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

An Annotated Checklist of the Bees (Hymenoptera: Apoidea) of Vermont with Conservation Status and Natural History Notes

This is the first comprehensive checklist and conservation assessment of the bee (Hymenoptera: Apoidea) fauna of the State of Vermont. This checklist of 351 species (plus 1 morphospecies) is based on 79,206 open-access data records available from the Global Biodiversity Information Facility (GBIF), nearly all (98%) of which were identified by an author or trusted collaborator, including 100% of th