Results 251 to 260 of about 3,729,724 (366)

Printed Wearable Sweat Rate Sensor for Continuous In Situ Perspiration Measurement

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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]

open access: yesImaging Neurosci (Camb)
Coursey SE   +11 more
europepmc   +1 more source

A Standardized Framework for Elastomer Characterization in Soft Robotics

open access: yesAdvanced Intelligent Systems, EarlyView.
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

BeeRootBot: A Bioinspired Robotic Probe Exhibiting Apical Growth through In Situ Soil Binding

open access: yesAdvanced Intelligent Systems, EarlyView.
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

Biomarker‐Agnostic Detection of Ovarian Cancer from Blood Plasma Using a Machine Learning‐Driven Electronic Nose

open access: yesAdvanced Intelligent Systems, EarlyView.
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

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