Durability and damage evolution of cement-fly ash stabilized aeolian sand gravel under high-temperature curing and freeze-thaw cycles. [PDF]
Wang B, Zhao Y, Zheng P, Liu J, Zhu S.
europepmc +1 more source
Erosion of granular sediments by submerged impinging jets: Particle size effects and cohesion onset
Abstract This study investigates the erosion behavior and modeling of glass particle beds under impinging jet conditions, with a focus on particle size effects and the onset of cohesion. Ultrasonic profiling is implemented to scan and measure static crater profiles.
Ahmad Mohamadiyeh +4 more
wiley +1 more source
Topography influences megadune distribution and morphology. [PDF]
Zhao H +6 more
europepmc +1 more source
Self‐Sensing Artificial‐Muscle‐Empowered Humanlike Perception, Interaction, and Positioning
The proposed self‐sensorized artificial muscle (SSAM) can sense its length change as small as 0.01 mm via a seamlessly integrated multi‐segment induction coil. The SSAM provides accurate length information regardless of its loadings, driving pressure, or muscle design, adequate for robust data‐driven feedback control.
Houping Wu +6 more
wiley +1 more source
Simulation of Full-Area Propped Fracture Propagation and Productivity in Shale Gas Reservoirs. [PDF]
Yu X, Chen K, Wang C, Zhu X, Sui G.
europepmc +1 more source
An electromagnetic manipulation system enhances magnetic field strength in the Z‐direction for 3D control of microrobots and nanoparticles. Featuring eight metal‐core coils and two air‐core coils arranged hemispherically, it ensures unimpeded workspace access and integrates imaging tools.
Nader Latifi Gharamaleki +4 more
wiley +1 more source
Sand-based therapy in pediatrics: a narrative review of traditional and digital sand therapy. [PDF]
Jankelowitz R +4 more
europepmc +1 more source
Haptic In‐Sensor Computing Device Based on CNT/PDMS Nanocomposite Physical Reservoir
Using a porous carbon nanotube‐polydimethylsiloxane nanocomposite, a sensor array integrated with a physical reservoir computing paradigm capable of in‐sensor computing is demonstrated. The device is able to classify between nine objects with an accuracy above 80%, opening the possibility for low‐power sensing/computing for future robotics.
Kouki Kimizuka +7 more
wiley +1 more source
Dose-response relationships of sand training compared to other surface training in improving change of direction and jump performance: a systematic review and meta-analysis. [PDF]
Wang T +6 more
europepmc +1 more source

