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Objectives: To discuss the opportunities and challenges of the qualitative solicited diary approach using digital technologies as an innovative way to access insights into people's lives and their unique stories in times of COVID-19-related social distancing in Switzerland.
Methods: This case study provides reflective arguments from a social science perspective for the selection of different (digital) diary designs to optimize data collection in the SNSF-funded project "PubliCo - an experimental online platform for COVID-19-related public perception."
Results: The findings highlight some opportunities of using (digital) diaries, such as empowering participants, gathering real-time data, and ethical and methodological challenges when it comes to gaining access to alternative narratives.
Conclusion: To gain in-depth insights during a crisis and to reach the lesser-heard voices that are central to democratic debates, it is necessary to adapt data gathering methods and build trust with diverse communities. While digital technologies open up new possibilities for public engagement, there is a need to think critically how data gathering is approached, how trustworthy the results are, and whose voices are captured, amplified, or left out.
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http://dx.doi.org/10.3389/ijph.2024.1606912 | DOI Listing |
ACS Nano
September 2025
Eastern Institute for Advanced Study, Eastern Institute of Technology, Ningbo, Zhejiang 315200, P. R. China.
Ni-Fe (oxy)hydroxides are among the most active oxygen evolution reaction (OER) catalysts in alkaline media. However, achieving precise control over local asymmetric Fe-O-Ni active sites in Ni-Fe oxyhydroxides for key oxygenated intermediates' adsorption steric configuration regulation of the OER is still challenging. Herein, we report a two-step dealloying strategy to fabricate asymmetric Fe-O-Ni pair sites in the shell of NiOOH@FeOOH/NiOOH heterostructures from NiFe Prussian blue analogue (PBA) nanocubes, involving anion exchange and structure reconstruction.
View Article and Find Full Text PDFJ Med Internet Res
September 2025
Department of Community Medicine, Faculty of Health, UiT The Arctic University of Norway, Tromsø, Norway.
Background: The ability to access and evaluate online health information is essential for young adults to manage their physical and mental well-being. With the growing integration of the internet, mobile technology, and social media, young adults (aged 18-30 years) are increasingly turning to digital platforms for health-related content. Despite this trend, there remains a lack of systematic insights into their specific behaviors, preferences, and needs when seeking health information online.
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 PDFPLoS One
September 2025
College of Economics and Management, Inner Mongolia Agricultural University, Hohhot, China.
Against the backdrop of grassland ecological degradation, grassland transfer has become a crucial pathway for optimizing livestock resource allocation and promoting sustainable pastoral development. Based on survey data from 383 herder households in the farming-pastoral ecotone of Inner Mongolia, China, this study applies Heckman models, mediation models, and moderation models to examine the impact of digital technology on herders' grassland leasing-in decisions and the underlying mechanisms. The results indicate that digital technology significantly increases both the probability and the scale of grassland leasing-in among herders.
View Article and Find Full Text PDFSci Prog
September 2025
School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China.
At present, significant progress has been made in the research of image encryption, but there are still some issues that need to be explored in key space, password generation and security verification, encryption schemes, and other aspects. Aiming at this, a digital image encryption algorithm was developed in this paper. This algorithm integrates six-dimensional cellular neural network with generalized chaos to generate pseudo-random numbers to generate the plaintext-related ciphers.
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