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Artificial intelligence for pediatric height prediction using large-scale longitudinal body composition data

Dohyun Chun, Hae Woon Jung, Jongho Kang, Woo Young Jang et al. • Digital Health (2025)

Objective We developed a precise, reliable artificial intelligence (AI) model for predicting the future height of children and adolescents based on anthropometric and body composition data. Materials and Methods We used an extensive longitu...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076251395975

A Data-Driven Approach for Enhancing Customer Loyalty through Strategic Business Innovations and Technology Integration

Venkataramana Karri, Polamarasetty Nooka Appa Rao, Gopal Krishna Sanapala, V Vijaya Kumar et al. • Ianna Journal of Interdisciplinary Studies (2025)

Background: Customer trust and loyalty are critical in today’s competitive business environment. Integrating technology, sustainability, and omnichannel approaches has been recognised as a key factor in enhancing customer experience. Howeve...

DOAJ Open Access (DOAJ)

Study on Damage Behavior and Anti-Explosion Performance of Steel Fiber-Reinforced Cellular Concrete Under Underwater Contact Explosion

Hu Huang, Shubo Dai, Kelei Cao, Changxing Tang et al. • Buildings (2026)

To explore the damage mitigation mechanism of steel fiber-reinforced cellular concrete (SFR-CC) under underwater explosion loading, this study systematically analyzes two key variables: steel fiber volume fraction (0.5%, 1.0%, 1.5%, and 2.0...

DOAJ Open Access (DOAJ) DOI: 10.3390/buildings16101975

International diffusion of new health technologies: A ten-country analysis of six health technologies

Claire Packer, Sue Simpson, Andrew J Stevens, (on behalf of EuroScan: the European Information Network on New and Changing Health Technologies) • International Journal of Technology Assessment in Health Care (2006)

OBJECTIVES: The objective of this study was to examine and explain the differential international diffusion of six health innovations. METHODS: A retrospective diffusion study was undertaken of sildenafil, cyclooxygenase-II (COX II) inhibit...

OPENALEX DOI: https://doi.org/10.1017/s0266462306051336

Key Variables for Effective eHealth Designs for Individuals With and Without Mental Health Disorders: 2^12-4 Fractional Factorial Experiment

Rotondi, Armando J, Grady, Jonathan, Hanusa, Barbara H, Haas, Gretchen L et al. • Journal of Medical Internet Research (2021)

BackgroundeHealth applications not only offer the potential to increase service convenience and responsiveness but also expand the ability to tailor services to improve relevance, engagement, and use. To achieve these goals, it is critical ...

DOAJ Open Access (DOAJ) DOI: 10.2196/23137

Predicting Microbial Protein Synthesis in Cattle: Evaluation of Extant Equations and Steps Needed to Improve Accuracy and Precision of Future Equations

Michael L. Galyean, Luis O. Tedeschi • Animals (2024)

Predictions of microbial crude protein (MCP) synthesis for beef cattle generally rely on empirical regression equations, with intakes of energy and protein as key variables. Using a database from published literature, we developed new equat...

DOAJ Open Access (DOAJ) DOI: 10.3390/ani14192903

MATCHA, a novel regional hydroclimate-chemical reanalysis: System description and evaluation

C. Roychoudhury, R. Kumar, C. He, W. Y. Y. Cheng et al. • Earth System Science Data (2026)

We present MATCHA (Model for Atmospheric Transport and Chemistry in Asia), a 17-year (2003–2019) regional hydroclimate-chemical reanalysis for Asia (58–140° E, 4– 40° N) at 12 km resolution. MATCHA couples the Weather Research and Forecasti...

DOAJ Open Access (DOAJ) DOI: 10.5194/essd-18-5209-2026