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Showing 20 of 748 academic articles

Factors associated with minimum dietary diversity failure among Indian children

Rajesh Kumar Rai, Sandhya S. Kumar, Chandan Kumar • Journal of Nutritional Science (2022)

Recognising the importance of infant and young child feeding practices during the first 2 years of life, the World Health Organization's Global Nutrition Monitoring Framework developed a minimum dietary diversity (MDD) indicator for feeding...

DOAJ Open Access (DOAJ) DOI: 10.1017/jns.2022.2

Artificial intelligence in public health: promises, challenges, and an agenda for policy makers and public health institutions

Димитра Пантели, Keyrellous Adib, Stefan Buttigieg, Francisco Goiana-da-Silva et al. • The Lancet Public Health (2025)

Artificial intelligence (AI) can rapidly analyse large and complex datasets, extract tailored recommendations, support decision making, and improve the efficiency of many tasks that involve the processing of data, text, or images. As such, ...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/s2468-2667(25)00036-2 PMC: 12040707

Graph neural networks for materials science and chemistry

Patrick Reiser, Marlen Neubert, André Eberhard, Luca Torresi et al. • Communications Materials (2022)

Machine learning plays an increasingly important role in many areas of chemistry and materials science, being used to predict materials properties, accelerate simulations, design new structures, and predict synthesis routes of new materials...

OPENALEX cc-by DOI: https://doi.org/10.1038/s43246-022-00315-6 PMC: 9702700

Importance of background threshold value development within risk‐based corrective action programs

Kenneth S. Tramm, Jason T. Minter, Catherine A. Seaton • Vadose Zone Journal (2024)

Abstract Risk‐based corrective action (RBCA) programs employ conservative models to develop default values for soil screening, which simplify the risk assessment process. However, for several naturally occurring metals (e.g., arsenic and le...

DOAJ Open Access (DOAJ) DOI: 10.1002/vzj2.20294

Change Detection for Hyperspectral Images Via Convolutional Sparse Analysis and Temporal Spectral Unmixing

Qingle Guo, Junping Zhang, Chongxiao Zhong, Ye Zhang • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2021)

With the increase in the availability of multitemporal hyperspectral images (HSIs), HSIs change detection (CD) methods, including pixel-level and subpixel-level based methods, have attracted great attention in recent years. However, the wid...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2021.3074538

Day-Ahead Electric Load Forecasting for the Residential Building with a Small-Size Dataset Based on a Self-Organizing Map and a Stacking Ensemble Learning Method

Jaehyun Lee, Jinho Kim, Woong Ko • Applied Sciences (2019)

Electric load forecasting for buildings is important as it assists building managers or system operators to plan energy usage and strategize accordingly. Recent increases in the adoption of advanced metering infrastructure (AMI) have made b...

DOAJ Open Access (DOAJ) DOI: 10.3390/app9061231

Construction of the cancer patients’ database based on the US National Health and Nutrition Examination Survey (NHANES) datasets for cancer epidemiology research

Jinyoung Moon, Yongseok Mun • BMC Medical Research Methodology (2025)

Abstract Background The US National Health and Nutrition Examination Survey (NHANES) dataset does not include a specific question or laboratory test to confirm a history of cancer diagnosis. However, if straightforward variables for cancer ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12874-025-02478-5

Atrial fibrillation signals associated with overactive bladder drugs across JADER and FAERS: disproportionality and time-to-onset analyses

Kyosuke Nagura, Satoko Watanabe, Taro Watanabe, Taro Watanabe et al. • Frontiers in Pharmacology (2026)

IntroductionOveractive bladder (OAB) drugs are widely prescribed, yet the occurrence of atrial fibrillation (AF) after treatment initiation remains poorly characterized.MethodsWe evaluated reports of AF associated with OAB medications using...

DOAJ Open Access (DOAJ) DOI: 10.3389/fphar.2025.1700587

PRIMUS: Comprehensive proteomics of mouse intervertebral discs that inform novel biology and relevance to human disease modelling

Mateusz Kudelko, Peikai Chen, Vivian Tam, Ying Zhang et al. • Matrix Biology Plus (2021)

Mice are commonly used to study intervertebral disc (IVD) biology and related diseases such as IVD degeneration. Discs from both the lumbar and tail regions are used. However, little is known about compartmental characteristics in the diffe...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.mbplus.2021.100082

Small Object Detection Algorithm Based on Improved YOLOv8 for Remote Sensing

Hao Yi, Bo Liu, Bin Zhao, Enhai Liu • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024)

Due to the limitations of small targets in remote sensing images, such as background noise, poor information, and so on, the results of commonly used detection algorithms in small target detection is not satisfactory. To improve the accurac...

DOAJ Open Access (DOAJ) DOI: 10.1109/JSTARS.2023.3339235

Improving the Transferability of Suspended Solid Estimation in Wetland and Deltaic Waters with an Empirical Hyperspectral Approach

Daniel Jensen, Marc Simard, Kyle Cavanaugh, Yongwei Sheng et al. • Remote Sensing (2019)

The deposition of suspended sediment is an important process that helps wetlands accrete surface material and maintain elevation in the face of sea level rise. Optical remote sensing is often employed to map total suspended solids (TSS), th...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs11131629

Research on Personalized Recommendation Algorithm Integrating Cross-Grained Sentiment and Rating Interaction Features

Bing Li, Jiangtao Dong, Xile Wang, Yuqi Hou et al. • IEEE Access (2025)

To investigate the impact of cross-grained sentiments on user feature representation and address the issue of data sparsity, this paper proposes a Personalized Recommendation Algorithm Integrating Cross-Grained Sentiment and Rating Interact...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3530431

Proposing New Data Whitening Method through Application of LSTM Method for Fault Condition Prediction in Bearing Data

Nasrin Rezaei, Andreas Rehkopf • Advances in Engineering and Intelligence Systems (2026)

In the context of big data, data preprocessing, especially data whitening, plays a pivotal role in improving the effectiveness of AI models. While traditional whitening methods suffer from severe computational bottlenecks, arising from the ...

DOAJ Open Access (DOAJ) DOI: 10.22034/aeis.2026.575941.1510

Large datasets of water vapor sorption, mass diffusion immersed in water, hygroscopic expansion and mechanical properties of flax fibre/shape memory epoxy hygromorph composites

Qinyu Li, Rujie Sun, Antoine Le Duigou, Jianglong Guo et al. • Data in Brief (2022)

This data article presents four experimental sets of results related to flax fibre composites with epoxy shape memory polymer matrix: water vapor absorption, mass diffusion immersed in water, hygroscopic expansion, mechanical properties. Th...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2022.108367

Spatial patterns in the contribution of biotic and abiotic factors to the population dynamics of three freshwater fish species

Mathieu Chevalier, Pablo Tedesco, Gael Grenouillet • PeerJ (2022)

Background Population dynamics are driven by a number of biotic (e.g., density-dependence) and abiotic (e.g., climate) factors whose contribution can greatly vary across study systems (i.e., populations). Yet, the extent to which the contri...

DOAJ Open Access (DOAJ) DOI: 10.7717/peerj.12857

Artificial intelligence in clinical medicine: a state-of-the-art overview of systematic reviews with methodological recommendations for improved reporting

Giovanni Morone, Giovanni Morone, Luigi De Angelis, Luigi De Angelis et al. • Frontiers in Digital Health (2025)

Medicine has become increasingly receptive to the use of artificial intelligence (AI). This overview of systematic reviews (SRs) aims to categorise current evidence about it and identify the current methodological state of the art in the fi...

DOAJ Open Access (DOAJ) DOI: 10.3389/fdgth.2025.1550731

Exploring language learning and corrective feedback in an eTandem project

Tang Jinlan, Qian Kan, Wang Na, Hu Xiaona • Journal of China Computer-Assisted Language Learning (2021)

Many studies about eTandem and language learning stem from learners in Western institutions of higher education. Unfortunately, there is a lack of research investigating the telecollaboration regarding language development between learners ...

DOAJ Open Access (DOAJ) DOI: 10.1515/jccall-2021-2005