Printed Wearable Sweat Rate Sensor for Continuous In Situ Perspiration Measurement
A wireless wearable sweat rate sensor system is presented, featuring digital 3D direct‐write printing on a flexible substrate with microfluidic layers for continuous, real‐time monitoring. Printed encapsulated metal electrodes are used for capacitance measurements, achieving high sensitivity (0.01 μL min−1) while maintaining a compact and lightweight ...
Mohammad Shafiqul Islam +6 more
wiley +1 more source
On the analysis of functional PET (fPET)-FDG: Baseline mischaracterization can introduce artifactual metabolic (de)activations. [PDF]
Coursey SE +11 more
europepmc +1 more source
A Standardized Framework for Elastomer Characterization in Soft Robotics
A unified framework addresses inconsistent elastomer property reporting which limits reproducibility and standardization in soft robotics. Systematic testing of ten elastomers (thermosetting, thermoplastic, and a covalent adaptable network) provides quasielastic mechanical properties, viscoelastic parameters, thermal stability, and processing ...
Ellen Roels +2 more
wiley +1 more source
A simplified model for predicting the minimum miscibility pressure of CO2 flooding in reservoirs of the Ordos Basin. [PDF]
Wang W +5 more
europepmc +1 more source
Improved Constant-Sized Polynomial Commitment Schemes Without Trusted Setup [PDF]
Shihui Fu
openalex +1 more source
BeeRootBot: A Bioinspired Robotic Probe Exhibiting Apical Growth through In Situ Soil Binding
This study introduces a novel method for consolidating subterranean exploration pathways in plant‐inspired robots by binding in‐situ soil with beeswax, a biobased material. This simultaneous advancement and wall‐lining process reduces penetration resistance, enhances exploration efficiency, enables communication and resource sharing, and promotes ...
Sachin Sachin +4 more
wiley +1 more source
Effects of modified woods saxon potential on quantum dynamics of spin 0 scalar particle in a cosmic string spacetime. [PDF]
Ahmed F, Bouzenada A.
europepmc +1 more source
This study introduces a biomarker‐agnostic diagnostic strategy for ovarian cancer, utilizing a machine learning‐enhanced electronic nose to analyze volatile organic compound signatures from blood plasma. By overcoming the dependence on specific biomarkers, this approach enables accurate detection, staging, and cancer type differentiation, offering a ...
Ivan Shtepliuk +4 more
wiley +1 more source
Dielectric Properties and Heating Rates of Egg Components Associated with Radio Frequency and Microwave Pasteurization. [PDF]
Yang F +9 more
europepmc +1 more source

