This review highlights advances in soil organic carbon (SOC) quantification using remote sensing, proximal soil sensing, AI (ML and DL), and biogeochemical modelling. Integrating diverse data sources and models improves SOC prediction accuracy. Key priorities include enhancing data availability, refining models, incorporating microbial processes, and ...
Zijuan Ding+16 more
wiley +1 more source
Integrating PICO principles into generative artificial intelligence prompt engineering to enhance information retrieval for medical librarians. [PDF]
Robinson K, Bontekoe K, Muellenbach J.
europepmc +1 more source
The complex centered on Ghd7 binds to numerous carbon and nitrogen metabolism genes on the genome through the corresponding motifs and transactivates the transcriptional expression of these carbon and nitrogen metabolism genes. With the assistance of OsNAC42 and other unknown Ghd7‐interacting proteins, this complex can regulate different metabolic ...
Guangming Lou+23 more
wiley +1 more source
Expression of Concern: Imbalanced class distribution and performance evaluation metrics: A systematic review of prediction accuracy for determining model performance in healthcare systems. [PDF]
PLOS Digital Health Editors.
europepmc +1 more source
Comparison of different Lunit INSIGHT CXR software versions when reading chest radiographs for tuberculosis. [PDF]
Codlin AJ+10 more
europepmc +1 more source
Support in digital health skill development for vulnerable groups in a public library setting: perspectives of trainers. [PDF]
Standaar LMB+6 more
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Enhancing book genre classification with BERT and InceptionV3: a deep learning approach for libraries. [PDF]
Yang X, Zhang Z.
europepmc +1 more source
Research on the Digital Twin System of Welding Robots Driven by Data. [PDF]
Wang S+6 more
europepmc +1 more source