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Organising workshops that successfully address complex research problems is a challenge, especially when the research involves interest-holders with diverse roles and expertise and potentially conflicting values and viewpoints. In this article, we describe and reflect on the approach we took to organising the CHANGE workshop, held in Oslo in June 2024. CHANGE is a complex 3-year project involving the collecting, analysing, and developing cross-sector consensus on a challenging topic. The approaches on which we reflect include fundamental aspects of interest-holder engagement, workshop design, methodological approach, and inclusive participation. Based on our reflections, we present a series of recommendations for consideration by anyone in the general research community using workshops as part of a research process.
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http://dx.doi.org/10.1007/s00204-025-04062-8 | DOI Listing |
Chem Biodivers
September 2025
Department of Biotechnology, Yeungnam University, Gyeongsan, Gyeongbuk, Republic of Korea.
One of the most significant problems facing the scientific community in the 21st century is diabetes mellitus. There is an urgent need to create new powerful compounds that can fight this terrible disease because the number of instances of diabetes and drug-resistant diabetes is rising. We have synthesized a novel series of thiazole-derived thiadiazole-based Schiff base derivatives (1-10) in an effort to identify potential antidiabetic agents.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Computer Science, COMSATS University Islamabad, Sahiwal, Pakistan.
The widespread dissemination of fake news presents a critical challenge to the integrity of digital information and erodes public trust. This urgent problem necessitates the development of sophisticated and reliable automated detection mechanisms. This study addresses this gap by proposing a robust fake news detection framework centred on a transformer-based architecture.
View Article and Find Full Text PDFBioinformatics
September 2025
Department of Mathematical Sciences, Chalmers University of Technology, Gothenburg, Sweden.
Summary: Dynamic models represent a powerful tool for studying complex biological processes, ranging from cell signalling to cell differentiation. Building such models often requires computationally demanding modelling workflows, such as model exploration and parameter estimation. We developed two Julia-based tools: SBMLImporter.
View Article and Find Full Text PDFIEEE Trans Neural Netw Learn Syst
September 2025
In essence, reinforcement learning (RL) solves optimal control problem (OCP) by employing a neural network (NN) to fit the optimal policy from state to action. The accuracy of policy approximation is often very low in complex control tasks, leading to unsatisfactory control performance compared with online optimal controllers. A primary reason is that the landscape of value function is always not only rugged in most areas but also flat on the bottom, which damages the convergence to the minimum point.
View Article and Find Full Text PDFNurs Res
September 2025
College of Nursing & Institute of Nursing Research, Korea University, Seoul, South Korea.
Background: Existing research fails to address the complex nature of nonspecific chronic lower back pain (cLBP ) despite its detrimental effect on economic, societal, and medical expenditures.
Objectives: We developed a nurse-led, mobile-delivered self-management intervention-Problem-Solving Pain to Enhance Living Well (PROPEL-M)-and evaluated its usability, feasibility, and initial efficacy for South Korean adults with nonspecific cLBP.
Methods: This study was composed of two phases: (a) lab and field usability testing for a gamified mobile device application; and (b) a pilot study employing a one-arm pre-test and post-test design among adults aged 18-60 years with nonspecific cLBP.