Results 61 to 70 of about 29,645 (311)
Neuronal PKM2‐driven glycolysis generates excess lactate that triggers histone H3K18 lactylation (H3K18la), establishing a pathogenic metabolic‐epigenetic axis in epilepsy. Elevated H3K18la enriches the Cop1 promoter, transcriptionally upregulating the E3 ubiquitin ligase COP1, which subsequently drives proteasomal degradation of GABAARβ2 and impairs ...
Yuan Meng +8 more
wiley +1 more source
Signal-processing of audio for speech-recognition
The transcription of voice using neural networks is a technique that deserves attention, as speech assistants are becoming increasingly popular. Neural networks have often difficulty with determining the differences between a talking person and noise ...
de Jong, Joep (author)
core
Multimodal Imaging Reveals Rapid Catecholamine Uptake and Release by Neutrophils
We show that immune cells (neutrophils) synthesize, uptake, and store catecholamine neurotransmitters such as dopamine or adrenaline. They also release them in response to specific stimuli (serotonin), which we directly visualize using fluorescent nanosensors. We further demonstrate that catecholamines affect neutrophil functions (NETosis) and platelet
Jennifer Mohr +19 more
wiley +1 more source
Spectrogram analysis in respective bird sound
This file reported spectrogram analysis in respective bird ...
Shafia Khairani (11948323) +6 more
core +1 more source
WS2‐based in‐memory sensing reservoir computing integrates sensing, memory, and computation in one compact device. It achieves ∼94% N‐MNIST, ∼93% eye motion perception, and ∼89% speech recognition with ultra‐low energy (∼25.5 fJ/spike). The system shows stability at 95% humidity, endurance over 1.5M cycles, and supports synaptic plasticity, enabling ...
Dayanand Kumar +9 more
wiley +1 more source
This study achieves the synergistic integration of self‐powered sensing and edge AI acceleration to establish a real‐time fault diagnosis system. The proposed TENG‐based self‐powered bearing sensor (NSE‐TBS) and FPGA‐accelerated edge AI framework fundamentally break through the inherent limitations of conventional monitoring systems, including complex ...
Kehui Zhu +7 more
wiley +1 more source
In this paper, we present a deep learning approach for identifying current intensity and frequency. The reconstruction is based on measurements of the magnetic field generated by the current flowing in a conductor. Magnetic field data are collected using
Abderraouf Lalla +3 more
doaj +1 more source
Speech, spectrogram, mel-spectrogram and mfcc images of used datasets.
Speech, spectrogram, mel-spectrogram and mfcc images of used datasets.
Thanh-Cong Truong (18452213) +2 more
core +1 more source
(A) Top: spectrogram of six isolated words (deep, jazz, cause) and pseudowords (fook, ors, nim) presented aurally to an individual participant. Bottom: spectrogram-based reconstruction of the same speech segment, linearly decoded from a set of electrodes.
Brian N. Pasley (185847) +7 more
core +1 more source
An electrochemical platform based on differential pulse amperometry enables real‐time, selective tracking of safinamide pharmacokinetics in the living brain with high spatiotemporal resolution. When integrated with electrophysiology, this approach reveals that drug‐induced suppression of vision‐related neuronal activity provides mechanistic insight ...
Xiaoke Nan +9 more
wiley +1 more source

