Results 111 to 120 of about 20,444,531 (305)
Remote Sensing, 2019 The magnetic resonance sounding (MRS) method is a non-invasive, efficient and advanced geophysical method for groundwater detection. However, the MRS signal received by the coil sensor is extremely susceptible to electromagnetic noise interference.
Xiaokang Yao +4 more
doaj +1 more source
Interconnected Porous Hydrogels with Tunable Anisotropy Through Aqueous Emulsion Bioprinting
Advanced Functional Materials, EarlyView.A 3D bioprintable microporous bioink is developed using an aqueous two‐phase system (ATPS) composed of extracellular matrix (ECM) mimetic biopolymers. The ATPS bioink enables the fabrication of interconnected porous architectures with up to 70% porosity, supporting long‐term cell viability and 3D cell alignment, enabling a simultaneous generation of ...
Hugo Edgar‐Vilar +4 more
wiley +1 more source
Switchable Supramolecular Adhesive by Tuning Interfacial Bonding and Modulus
Advanced Functional Materials, EarlyView.The supramolecular adhesive (HyDiP) shows reversible adhesion and recyclability. In the dehydrated state, it is dense, stiff (E ≈445 MPa), transparent, and provides strong bonding with adhesion strengths up to 4.65 MPa. In the hydrated state, it becomes porous, soft (E ≈0.11 MPa), and detaches easily, enabling sustainable high‐strength applications ...
Rumin Fu +10 more
wiley +1 more source
Adaptive Sparse Transform for Wireless Sensor Network Data
Dianxin kexue, 2013 Aiming at the change of sparse structure introduced by mobility of the wireless sensor network（WSN） nodes and noise in data transmission, an adaptive sparse transform method based on dictionary learning （DL）for WSN data was proposed.
Xuan Chen
doaj +2 more sources
International Journal of Digital EarthPoor feature representation, confusing background topography, and excessive data volume render detecting sparse targets in large-size acoustic imagery challenging.
Xi Zhao, Qiangqiang Yuan, Jiadan Xu
doaj +1 more source
Perceptual Decision Making Through the Eyes of a Large-scale Neural Model of V1
Frontiers in Psychology, 2013 Sparse coding has been posited as an efficient information processing strategy employed by sensory systems, particularly visual cortex. Substantial theoretical and experimental work has focused on the issue of sparse encoding, namely how the early visual
Jianing eShi +3 more
doaj +1 more source
Doubly Sparse Variational Gaussian Processes
, 2020 The use of Gaussian process models is typically limited to datasets with a few tens of thousands of observations due to their complexity and memory footprint. The two most commonly used methods to overcome this limitation are 1) the variational sparse approximation which relies on inducing points and 2) the state-space equivalent formulation of ...
Adam, Vincent +4 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.Permanent magnets derive their extraordinary strength from deep, universal electronic‐structure principles that control magnetization, anisotropy, and intrinsic performance. This work uncovers those governing rules, examines modern modeling and AI‐driven discovery methods, identifies critical bottlenecks, and reveals electronic fingerprints shared ...
Prashant Singh
wiley +1 more source
Sparse Gaussian Neural Processes
Proceedings of the 7th Symposium on Advances in Approximate Bayesian Inference, PMLR, 2025.
Rochussen, Tommy, Fortuin, Vincent
openaire +2 more sources
Advanced Functional Materials, EarlyView.A self‐gelling PG@PAC (POD/Gel‐CDH@PA/CHX) powder is developed for infected burn care in austere settings. Upon contact with wound exudate, it instantly forms an adhesive hydrogel, providing simultaneous hemostasis, broad‐spectrum antibacterial activity, reactive oxygen species scavenging, and immunomodulation. In a murine model of S.
Liping Zhang +14 more
wiley +1 more source