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Showing 20 of 263 academic articles

Exploring innovation landscapes: a national cross-sectional study of Swedish primary care from the viewpoint of primary care managers

Sarah Samuelson, Eva-Lisa Petersson, Cecilia Björkelund, Marcus Praetorius Björk et al. • BMC Health Services Research (2026)

Abstract Background Innovation is increasingly necessary in primary care policy, and healthcare managers play a pivotal role in translating policy ambitions into practice and shaping organisational conditions that foster innovation. The aim...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12913-026-14870-y

Technology-Supported Behavior Change—Applying Design Thinking to mHealth Application Development

Ramona Schweitzer, Stephan Schlögl, Marco Schweitzer • European Journal of Investigation in Health, Psychology and Education (2024)

Non-communicable diseases are the leading cause of global deaths. The risk of their development and progression is increased by modifiable behavioral risk factors. Yet, despite the known benefits of primary and secondary prevention, people ...

DOAJ Open Access (DOAJ) DOI: 10.3390/ejihpe14030039

Toward a Fit-for-purpose Policy Architecture on Long-term Care in Sub-Saharan Africa: Impasse and a Research Agenda to Overcome it

Isabella Aboderin • Journal of Long-Term Care (2019)

Context: Perspectives from sub-Saharan Africa (SSA) have featured little in the expanding global debate on long-term care (LTC) policy thus far – despite SSA countries’ embrace of global commitments on the development of equitable and susta...

DOAJ Open Access (DOAJ) DOI: 10.31389/jltc.5

OPTIMISER LE DÉVELOPPEMENT DES COMPÉTENCES ORALES DES ÉTUDIANTS : UNE APPROCHE PÉDAGOGIQUE AXÉE SUR L'ENGAGEMENT ACTIF DANS LES COURS DE LANGUE

DEMBRI Naima • Ziglôbitha (2025)

Résumé : S’intéresser à l’agir de l’apprenant en pédagogie, c’est s’intéresser aux capacités des apprenants à construire eux-mêmes leurs savoirs et à agir sur leur apprentissage tout en interagissant avec les autres acteurs dans une perspec...

DOAJ Open Access (DOAJ) DOI: 10.60632/ziglobitha.n013.05.vol.1.2025

Location factors and ecosystem embedding of sustainability-engaged blockchain companies in the US. A web-based analysis

Jan Kinne, Robert Dehghan, Sebastian Schmidt, David Lenz et al. • International Journal of Information Management Data Insights (2024)

While many digital technologies provide opportunities for creating business models that impact sustainability, some technologies, especially blockchain applications, are often criticized for harming the environment, e.g. due to high energy ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.jjimei.2024.100287

Natural Language Processing of Social Media as Screening for Suicide Risk

Glen Coppersmith, Ryan Leary, Patrick Crutchley, Alex B. Fine • Biomedical Informatics Insights (2018)

Suicide is among the 10 most common causes of death, as assessed by the World Health Organization. For every death by suicide, an estimated 138 people's lives are meaningfully affected, and almost any other statistic around suicide deaths i...

OPENALEX cc-by-nc DOI: https://doi.org/10.1177/1178222618792860 PMC: 6111391

AI and Chatbot-Supported Interventions for Physical Activity and Obesity-Related Lifestyle Behaviors: Scoping Review With Attention to Family Involvement

Qianxia Jiang, Xiayu Summer Chen, Dev Patel, Keith Brazendale et al. • JMIR Pediatrics and Parenting (2026)

Abstract BackgroundAI-enabled chatbots and related conversational systems can facilitate human–computer interaction through natural language, personalization, and automated support. In pediatric health promotion, these tools hav...

DOAJ Open Access (DOAJ) DOI: 10.2196/98889

Deep learning: A philosophical introduction

Cameron J. Buckner • Philosophy Compass (2019)

Abstract Deep learning is currently the most prominent and widely successful method in artificial intelligence. Despite having played an active role in earlier artificial intelligence and neural network research, philosophers have been larg...

OPENALEX DOI: https://doi.org/10.1111/phc3.12625

Analysis of Customer Churn Classification for Sinarmas Syariah Lhokseumawe Insurance Services Using Deep Learning Tabnet and Explainable AI

Syarifah Muliana, Taufiq Taufiq, Munirul Ula • Journal of Applied Informatics and Computing (2026)

Customer churn is a major challenge in the insurance industry because it directly affects customer retention, business sustainability, and company profitability. Early identification of customers at risk of churn is therefore essential for ...

DOAJ Open Access (DOAJ) DOI: 10.30871/jaic.v10i3.12864

Understanding tourist engagement with traditional dwellings through multimodal deep learning: a case study of the Gao Family Compound, Xi’an

Liyue Wu, Qinchuan Zhan, Yanjun Li • Humanities & Social Sciences Communications (2026)

Abstract This study applies a multimodal deep learning approach to examine tourist engagement with traditional architectural heritage. The Gao Family Compound in Xi’an serves as a representative case. Social-media texts and images from Weib...

DOAJ Open Access (DOAJ) DOI: 10.1057/s41599-026-07879-5

Relationship between perceived teacher support and learning engagement among adolescents: Mediation role of technology acceptance and learning motivation

Fuhai An, Jingyi Yu, Linjin Xi • Frontiers in Psychology (2022)

This study is aimed at investigating the relationship between perceived teacher support and learning engagement and exploring the mediation role played by technology acceptance and learning motivation. It adopted a structural equation model...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpsyg.2022.992464

Human behavior analysis on political retweets using machine learning algorithms

Het Patel, Aditya Kansara, Boppuru Rudra Prathap, Kukatlapalli Pradeep Kumar • Measurement: Sensors (2023)

The exponential rise in the use of social media has resulted in a massive increase in the volume of unstructured text created. This content is presented through messages, conversations, postings, and blogs. Microblogging has become a popula...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.measen.2023.100768

Perceptual-Preference-Based Touring Routes in Xishu Gardens Using Panoramic Digital-Twin Modeling

Xueqian Gong, Zhanyuan Zhu, Li Guo, Yong Zhong et al. • Land (2025)

Xishu Gardens, an exemplary narrative of classical Chinese gardens, faces challenges in preserving its commemorative spatial structures while accommodating modern visitors’ needs. While trajectory analysis is critical, existing studies stru...

DOAJ Open Access (DOAJ) DOI: 10.3390/land14050932

Acceptance of Machine Learning for Medication Selection in Epilepsy to Inform Clinical Trial Design: Co-Design Survey Study

Madeleine J Smith, Sandra Reeder, Fiona Waugh, Shobi Sivathamboo et al. • JMIR AI (2026)

Abstract BackgroundAntiseizure medications (ASMs) are the mainstay of epilepsy treatment; however, there is currently no reliable way to predict which medication will be most effective for an individual patient. Machine learning...

DOAJ Open Access (DOAJ) DOI: 10.2196/85047