Results 71 to 80 of about 25,464 (256)

Mitochondria‐Targeted Nanotherapeutics: A Promising Strategy in Modulating Mitochondrial Function, Transfer, and Transplantation

open access: yesAdvanced Science, EarlyView.
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

open access: yes工程科学与技术, 2014
: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

open access: yesAdvanced Science, EarlyView.
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 UPy‐Functionalized Polyethylene Networks: A Robust Platform for Resilient and High‐Performance Lithium Battery Separators

open access: yesAdvanced Science, EarlyView.
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]

open access: yesPeerJ Comput Sci, 2023
Hernández-Nava CA   +5 more
europepmc   +1 more source

Brain Network Dynamics of Local and Global Predictive Processing in Aging

open access: yesAdvanced Science, EarlyView.
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

open access: yesEngineering Proceedings
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

open access: yesAdvanced Science, EarlyView.
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

Comparative Evaluation of MFCC and Mel-spectrogram Features for CNN-Based Respiratory Abnormality Detection

open access: yesJournal of Applied Informatics and Computing
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]

open access: yesJournal of Electromagnetic Engineering and Science
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

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