Results 81 to 90 of about 29,428 (264)
Shaping Carbon Nitrides for Advanced Macrostructures
Advanced Materials Technologies, EarlyView.This review examines how carbon nitride can be shaped through a range of printing and interfacial assembly methods. By bringing together additive manufacturing and liquid–liquid structuring concepts, carbon nitride is moving beyond its traditional powder‐based photocatalyst form toward digitally designed robust macroscale architectures with high design
Simona Baluchová, Baris Kumru
wiley +1 more source
Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays
Advanced Materials Technologies, EarlyView.Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley +1 more source
A Plug-and-Play P300-Based BCI With Zero-Training Application
IEEE Transactions on Neural Systems and Rehabilitation EngineeringThe practical deployment of P300-based brain–computer interfaces (BCIs) has long been hindered by the need for user-specific calibration and multiple stimulus repetitions.
Jongsu Kim, Sung-Phil Kim
doaj +1 more source
Advanced Materials Technologies, EarlyView.A compact incubation platform enables long‐term cultivation of biological samples directly on diamond quantum sensors for NV widefield magnetometry. The 3D‐printed biocompatible chamber provides a temperature controlled, CO2${\rm CO}_2$ and humidity rich environment while accommodating total internal reflection excitation geometry.
Andre Pointner +9 more
wiley +1 more source
MS-TSEFNet: Multi-Scale Spatiotemporal Efficient Feature Fusion Network
SensorsMotor imagery signal decoding is an important research direction in the field of brain–computer interfaces, which aim to judge the motor imagery state of an individual by analyzing electroencephalogram (EEG) signals.
Weijie Wu +7 more
doaj +1 more source
Advanced Materials Technologies, EarlyView.A flexible piezoresistive pressure sensor with gradient toroidal CNT/PDMS microstructures is reported. The hierarchical geometry enables sequential electrode contact, achieving a sensitivity of 256.20 kPa−1 and linear response (R2 = 0.99) over 0–1000 kPa.
Rongmei Wang +8 more
wiley +1 more source
SensorsDecoding semantic concepts for imagination and perception tasks (SCIP) is important for rehabilitation medicine as well as cognitive neuroscience. Electroencephalogram (EEG) is commonly used in the relevant fields, because it is a low-cost noninvasive ...
Jianxi Huang +4 more
doaj +1 more source
At Home Detection of Ovarian Health Biomarker in Menstruation Blood
Advanced Materials Technologies, EarlyView.A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon +3 more
wiley +1 more source
Inferring attentional state and kinematics from motor cortical firing rates
, 2005 — Recent methods for motor cortical decoding have demonstrated relatively accurate reconstructions of hand trajectory from small populations of neurons in primary motor cortex.
P. Donoghue +3 more
core +2 more sources
Visual Information Decoding Based on State-Space Model with Neural Pathways Incorporation
In contemporary visual decoding models, traditional neural network-based methods have made some advancements; however, their performance in addressing complex visual tasks remains constrained. This limitation is primarily due to the restrictions of local
Ao Liu +4 more
core +1 more source