Neural-Symbolic Knowledge Graphs Advance Traceability in Power Test Data
A self-evolving neural-symbolic knowledge graph framework achieved 98.5 percent accuracy in tracing heterogeneous measurement information across electric power testing systems.
A self-evolving neural-symbolic knowledge graph framework achieved 98.5 percent accuracy in tracing heterogeneous measurement information across electric power testing systems.
A study in the Future Business Journal finds that mobile money reduces long-term money demand in Ghana, while ATMs increase ...
A longitudinal study in the Journal of Clinical Sleep Medicine finds that high emotion dysregulation is associated with worse subjective ...
A prospective cardiovascular magnetic resonance study demonstrates that healthy adults maintain stable right-to-left ventricular volume ratios during submaximal supine exercise, ...
A cross-sectional study of 252 hospital nurses found that self-awareness levels significantly predict their tendency to commit medical errors.
A Mendelian randomization analysis indicates that genetically predicted cathepsin levels are associated with risks of Alzheimer's disease and Parkinson's disease.
A three-wave longitudinal study involving 719 secondary school students suggests that beliefs about the malleability of negative emotions serve as ...
In a cross-sectional pilot study of 28 patients with rheumatoid arthritis, researchers observed exploratory associations between site-specific Porphyromonas gingivalis levels, ...
In a quasi-experimental investigation examining educational technology competencies, researchers evaluated visual literacy and its connections to infographic comprehension and learner ...
A cross-sectional validation study of 160 Hungarian female equestrians found that horse-rider relationship quality, rather than horse ownership, is positively ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine