Hierarchical random forest model, inflammation and oxidative stress as predictors of the atherogenic index of plasma and diabetes progression. [PDF]
Jelinek HF, Muteir I, Al-Aubaidy H.
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
High-Value Patents Recognition with Random Forest and Enhanced Fire Hawk Optimization Algorithm. [PDF]
Yao X, Li H, Wang S.
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
Skin Lesion Image Classification With Tree-Based Ensembles: Benchmarking Random Forest and Gradient Boosting. [PDF]
Pattnaik S +4 more
europepmc +1 more source
Host Tuned Luminescence Lifetime Thermometers for Imaging Boiling Thermal Dynamics Through Bubbles
The bismuth to vanadate distance is adjusted in solid solutions of ytrrium and scandium orthovanadate to design a lifetime‐based luminescence thermometer with optimal temperature resolution at 100 °C. It is applied on the surface of a boiling channel to observe the thermal signatures of bubble growth and liquid film dry‐out.
Sacha Hirsch +9 more
wiley +1 more source
Bio-signal induced emotion monitoring and detection of anxiety: A sensor-driven approach with regression based random forest. [PDF]
Mukhopadhyay A +5 more
europepmc +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Exploring determinants of fear of cancer recurrence in postoperative colorectal cancer patients: a random forest model approach. [PDF]
Wu J, Cao Y, Yao L, Chen L, Xu L.
europepmc +1 more source
Multi‐Material Additive Manufacturing of Soft Robotic Systems: A Comprehensive Review
This review explores the transformative role of multi‐material additive manufacturing (MMAM) in the development of soft robotic systems. It presents current techniques, materials, and design strategies that enable functionally graded and adaptive structures.
Ritik Raj +2 more
wiley +1 more source

