Results 111 to 120 of about 41,764 (308)
This study combines the biological structure of octopuses with the “3D structure” of spacer fabrics to fabricate a dual‐interface solar evaporator with adaptive hydrothermal balance. Water adaptation is achieved through the differentiated design of the upper and lower layers, and dynamic hydrothermal balance is realized by dynamically regulating the ...
Ning Niu +10 more
wiley +1 more source
Wearable Cooling Textiles of Thermal Conduction and Sweat Transfer for Personal Thermal Management
ABSTRACT Given rising global temperatures, advanced protective textiles hold significant potential to enhance productivity, conserve energy, and improve personal thermal comfort. Extensive research has shown that both thermal conduction and moisture management are equally critical in determining the comfort performance of textiles.
Jiajing Zhang +5 more
wiley +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Magnetic soft robots offer promise in biomedicine due to their wireless actuation and rapid response, but current fabrication methods are complex and have limited cellular compatibility. A new, contactless bioassembly strategy using hydrodynamic instabilities is introduced, enabling customizable, centimeter‐scale robots.
Wei Gao +5 more
wiley +1 more source
Torque‐Transmitting Architected Metamaterials for Flexible and Extendable Tubular Robotics
Soft and continuum robots commonly rely on fluid, tendon, or rod‐based power transmissions, to control robotic form and actuation. This study presents an architected structure, based on patterned straight‐line mechanisms, that enables simultaneous bending, extending, and torsionally rigid (BETR) transmission.
Sawyer Thomas, Aman Garg, Jeffery Lipton
wiley +1 more source
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang +6 more
wiley +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Warped Gaussian Processes in Remote Sensing Parameter Estimation and\n Causal Inference [PDF]
Anna Mateo-Sanchis +3 more
openalex +1 more source
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova +3 more
wiley +1 more source

