Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu +6 more
wiley +1 more source
Recreation comforting degree identification and assessment in national parks by integrating text mining technology and fuzzy DEMATEL-based ANP method. [PDF]
Lin K +6 more
europepmc +1 more source
Infodoc Express : Introduction au text mining
Mathieu Andro, Sophie Aubin
openalex +1 more source
Reforming Vocational Education in China: A Text Mining Analysis of the New Vocational Education Law and Its Implications for Industry-Education Integration, Quality Enhancement, and Skill Development [PDF]
Chao Zhu, Guanghong Li
openalex +1 more source
Female desert locusts dig underground to lay their eggs. They displace soil, rather than removing it, to create a tunnel. We analyze burrowing dynamics and 3D kinematics and design a locust‐inspired hybrid soft–stiff robot that reproduces this mechanism. The results show the natural strategy minimizes energy, whereas alternative patterns raise costs up
Shai Sonnenreich +2 more
wiley +1 more source
What are we learning with Yoga? Mapping the scientific literature on Yoga using a vector-text-mining approach. [PDF]
Ieger-Raittz R +8 more
europepmc +1 more source
AI Guided Protein Design for Next‐Generation Autogenic Engineered Living Materials
Autogenic engineered living materials (ELMs) integrate biology and materials science to create self‐regenerating and self‐healing materials. This perspective highlights emerging strategies in protein engineering and AI‐guided de novo design to expand the capabilities of autogenic ELMs.
Hoda M. Hammad, Anna M. Duraj‐Thatte
wiley +1 more source
Growth of rehabilitation students in first and second years: A text mining approach. [PDF]
Xu Y +7 more
europepmc +1 more source
Modeling and Characterization of a Self‐Sensing Soft Hydraulic Muscle
This article presents the self‐sensing soft hydraulic muscle (SSHM), a novel soft actuator capable of simultaneously sensing force and length without external sensors. A comprehensive model accurately predicts SSHM behavior, validated experimentally with minimal errors. Using propylene glycol enhances durability and reduces hysteresis.
Nhu An Phan +8 more
wiley +1 more source

