Results 201 to 210 of about 982,398 (277)
The given research presents an innovative insole‐based device employing self‐powered triboelectric nanogenerators (TENG) for flatfoot detection. By integrating TENG tactile sensors within an insole, the device converts mechanical energy from foot movements to electrical signals analyzed via machine learning, achieving an 82% accuracy rate in flatfoot ...
Moldir Issabek +7 more
wiley +1 more source
Developing predictive models for COVID-19 positive tests based on the XGBoost and random forest algorithms with internet search data. [PDF]
Chang Y +12 more
europepmc +1 more source
The patch mimics the dual physicochemical adhesion mechanisms of gecko toe micropillars and spider silk proteins, enabling strong interfacial bonding via partially cured micropillars. Its facile fabrication allows customization for precision medicine, while its motion responsiveness offers potential for real‐time wound monitoring.
Chengxin Luan +4 more
wiley +1 more source
A low resistance circular diverter tee based on an improved random forest model. [PDF]
Tian A +8 more
europepmc +1 more source
A Degradable Device for Sustainable Capillary Blood Sampling
The device features a compostable 3D‐printed storage compartment for liquid blood collection and a degradable, poly(ɛ‐caprolactone)‐coated magnesium microneedle patch hidden within a suction cup. Manual compression deploys the MNs, creating small skin punctures, and the subsequent release of compression generates the negative pressure required for ...
Nicole Zoratto +5 more
wiley +1 more source
Does noise pollution influence modal choices? A random forest application. [PDF]
Calafiore A, Tong K.
europepmc +1 more source
This work demonstrates the production of nature‐inspired double Bouligand structures via shear‐aligning cellulose nanocrystals for comparison against more commonly studied single Bouligand architecture. Optical and mechanical analysis shows retained chiroptical polarization and increased mechanical integrity under compression elucidated with ...
Justin Brackenridge +4 more
wiley +1 more source
A nomogram and random forest model for predicting liver metastasis in patients with early-onset colorectal cancer. [PDF]
Han X, Bai X, Zhang Q, Qian X.
europepmc +1 more source

