Results 171 to 180 of about 3,571 (234)
Programmable Fabric‐Based Soft Pneumatic Actuators for Wearables: A Review
This review summarizes recent advances in fabric soft pneumatic actuators (FSPAs), emphasizing programmable design strategies, diverse actuation deformation modes, material selection, and emerging applications. We highlight how geometric constraints, material distribution, and specialized fabrication methods govern longitudinal, bending, torsional, and
Zichao Ling +4 more
wiley +1 more source
Non-genetic neuromodulation with graphene optoelectronic actuators for disease models, stem cell maturation, and biohybrid robotics. [PDF]
Molokanova E +19 more
europepmc +1 more source
Abstract Perennial cellulosic bioenergy crops have the potential to control nutrient losses from agriculture while providing biomass for biofuel production. This study employed a rigorously calibrated Soil and Water Assessment Tool (SWAT) model to assess the effects of replacing conventional corn (Zea mays L.) with Miscanthus × giganteus and Alamo ...
Xiaoyu Zhang +9 more
wiley +1 more source
Re‐Evaluating Springtime as Southern Arizona's Dust Season
Abstract The existing literature largely identifies spring as Arizona's predominant dust season, when synoptic‐scale dust events are most frequent and “Fine Soil” measurements from the IMPROVE (Interagency Monitoring of Protected Visual Environments) network reach a yearly maximum.
Ellis S. Robinson +5 more
wiley +1 more source
Abstract The study of planetary surface processes has traditionally relied on the manual interpretation of spacecraft images. While manual image analysis methods are robust and well‐established, they become impractical when the volume of available data is large and may introduce observer bias.
Yasmin Hayat, Lior Rubanenko
wiley +1 more source
Inverse design of curved mechanical metamaterials with geometric AI: a generative diffusion operates in compact latent space of cellular structures. [PDF]
Abu-Mualla M, Huang J.
europepmc +1 more source
Reconstructing Digital Elevation Models From Single Synthetic Aperture Radar Images
Abstract Traditional radar‐based methods of generating topography involve complex dual‐antenna or formation‐flying satellite configurations, interferometric processing, and specialized expertise. We present an approach for reconstructing digital elevation models (DEMs) from single Synthetic Aperture Radar (SAR) images using deep learning.
W. Hamish Mitchell +3 more
wiley +1 more source
Abstract Recent advances in solar physics increasingly rely on automated identification of coronal structures using machine learning. Yet most studies emphasize scientific performance without evaluating feasibility for onboard deployment to prioritize downlink observations.
P. Gonidakis +11 more
wiley +1 more source
Observation of a Higher-Order End Topological Insulator in a Real Projective Lattice. [PDF]
Shang C +9 more
europepmc +1 more source
Abstract Background and aims Workplaces offer a practical setting for alcohol and other drug interventions, especially in industries where impairment introduces substantial risk. Screening, brief intervention and referral to treatment has demonstrated effectiveness in health care settings and shows promise in workplace settings.
Kirrilly Thompson +2 more
wiley +1 more source

