This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley +1 more source
Differentiating between data-mining and text-mining terminology
J.H. Kroeze, M.C. Matthee, T.J.D. Bothma
doaj +1 more source
Emerging risk identification in the food chain using text mining-supported monitoring of food safety news: insights from 2022 to 2023. [PDF]
Farkas Z +9 more
europepmc +1 more source
Majority‐Voting Overlapping Method for Error Correction in DNA Data Storage
We propose an overlapping‐based majority‐voting method for DNA data storage error correction. By aligning multiple reads and choosing the most frequent base per position, it suppresses substitution errors without prior models. Validated on synthetic and real sequencing data, it achieves high‐fidelity, scalable, and cost‐effective reconstruction ...
Thi Bich Ngoc Nguyen +5 more
wiley +1 more source
Shared Decision-Making in the Choice of Renal Replacement Therapy: A Comparative Text Mining Analysis of Physicians and Nurses. [PDF]
Iida M +5 more
europepmc +1 more source
Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley +1 more source
Facts from text--is text mining ready to deliver? [PDF]
Dietrich Rebholz-Schuhmann +2 more
doaj +1 more source
AI-driven text mining of the female reproductive system: enabling multiscale biomedical modeling and personalized medicine. [PDF]
Lee G +12 more
europepmc +1 more source
AI Powered Biobanks From Static Archives to Dynamic Discovery Engines
Large language models (LLMs) provide a potential framework for transforming biobanks from static data repositories into intelligent discovery engines. By enabling unified representation and analysis of multimodal biomedical data, LLM‐based systems facilitate dynamic risk prediction, biomarker identification, and mechanistic interpretation, thereby ...
Wenzhen Yin +5 more
wiley +1 more source
Advancements and trends in agricultural veterinary education research: a text mining and network analysis approach. [PDF]
Huang L, Wu H, Peng J, Liu J.
europepmc +1 more source

