Results 71 to 80 of about 25,464 (256)
This review summarizes the pathogenic role of mitochondria in diseases and highlights mitochondrial transfer and transplantation as emerging therapeutic strategies. It systematically discusses how nanomaterials are engineered to facilitate these processes, and critically examines the current challenges and future perspectives for their clinical ...
Yuanyuan Su +9 more
wiley +1 more source
Automatic Hypernasal Detection Based on Acoustic Analysis in Cleft Palate Speech
:In order to detect hypernasal automatically for cleft palate patients, based on Shannon energy and Mel frequency cepstrum coefficient acoustic features and by combining with Gaussian mixture model classifier, an automatic hypernasal detection algorithm ...
何凌 +6 more
doaj
Towards a Compositional Framework for Describing Human Phenotypes
The Phenotype Assembly Method (PhenoAM) decomposes phenotype variables into measurable Features and typed Qualifiers, enabling standardized, machine‐readable Phenome Data Elements (PhenoDEs) that preserve measurement context. Applied in the International Human Phenome Project (IHPP), the framework yields 58 371 PhenoDEs and supports component‐level ...
Wanting Hu +11 more
wiley +1 more source
Self‐healing separators are developed by grafting ureidopyrimidinone (UPy) quadruple hydrogen‐bonding motifs onto PE‐HEMA copolymers, blended with high‐MW PEO via solvent‐free hot‐pressing. The dynamic UPy network enables autonomous healing, restoring functionality after short circuits.
Daniele Callegari +4 more
wiley +1 more source
Voice spoofing detection using a neural networks assembly considering spectrograms and mel frequency cepstral coefficients. [PDF]
Hernández-Nava CA +5 more
europepmc +1 more source
Brain Network Dynamics of Local and Global Predictive Processing in Aging
Separation of concurrent whole‐brain networks in source‐reconstructed magnetoencephalography (MEG) data suggests that healthy aging reorganizes, rather than uniformly attenuates, neural responses elicited from hierarchical auditory violations. Enhanced early sensory deviance processing alongside reduced higher‐order cognitive responses suggests a large‐
Mathias Houe Andersen +9 more
wiley +1 more source
Leveraging MFCC and Mel-Spectrogram Representations for Deep Learning-Based Speech Recognition
This work propose an audio feature pipeline to support machine learning tasks through the extraction of the Mel Frequency Cepstral Coefficients and Mel-spectrogram which is then used as the input of an Convolutional Neural Network which is trained to ...
Jose Antonio Lopez-Olvera +3 more
doaj +1 more source
LigHTS: Biomimetic Hydrogel Photo‐Fabrication for Imaging‐Based Ultra‐High‐Throughput Screening
LigHTS removes a key bottleneck for ultra‐high‐throughput screening (UHTS) by enabling biomimetic hydrogel microenvironments to be manufactured directly in standard multiwell plates. A single, collimated UV exposure with formulation‐tuned light penetration patterns an entire plate with UHTS‐grade uniformity (<20% CV), producing structured GelMA films ...
Alessandro Enrico +7 more
wiley +1 more source
Automated respiratory sound analysis addresses critical limitations in traditional clinical auscultation, particularly high inter-observer variability and limited specialist access in resource-constrained settings.
Simboni Simboni Tege +5 more
doaj +1 more source
Vehicle Classification Using Electromagnetic Leakage Signals Based on Feature Fusion and Residual CNN [PDF]
While the classification of electromagnetic (EM) leakage signals from various electronic devices has been explored in recent research, the use of EM leakage signals from vehicles for classification tasks remains relatively underexplored.
Jonghwan Na, Bowon Lee
doaj +1 more source

