Improving differential diagnosis of vocal cord dysfunction [PDF]
textPurpose: The purpose of this study was to assess whether the factors historically presented in the literature to differentiate vocal cord dysfunction (VCD) from breathing difficulties of other etiologies accurately predict and identify patients who ...
Bernstein, Sarah Mae
core
Using transcranial direct-current stimulation (tDCS) to understand cognitive processing [PDF]
Noninvasive brain stimulation methods are becoming increasingly common tools in the kit of the cognitive scientist. In particular, transcranial direct-current stimulation (tDCS) is showing great promise as a tool to causally manipulate the brain and ...
Cosman, Josh D. +3 more
core +1 more source
Impact of Biomimetic Pinna Shape Variation on Clutter Echoes: A Machine Learning Approach
Bats with dynamic ear structures navigate dense, echo‐rich environments, yet the echoes they receive are highly random. This study shows that machine learning can reliably detect structural signatures in these seemingly chaotic biosonar signals. The results open new directions for biologically inspired sensing, where time‐varying receiver shapes ...
Ibrahim Eshera +2 more
wiley +1 more source
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova +3 more
wiley +1 more source
Comparison of speech changes caused by four different orthodontic retainers: a crossover randomized clinical trial [PDF]
Objective: This study aimed to compare the influence of four different maxillary removable orthodontic retainers on speech. Material and Methods: Eligibility criteria for sample selection were: 20-40-year subjects with acceptable occlusion, native ...
Diego Coelho LORENZONI +6 more
doaj +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He +3 more
wiley +1 more source
Deep Learning Methods for Assessing Time‐Variant Nonlinear Signatures in Clutter Echoes
Motion classification from biosonar echoes in clutter presents a fundamental challenge: extracting structured information from stochastic interference. Deep learning successfully discriminates object speed and direction from bat‐inspired signals, achieving 97% accuracy with frequency‐modulated calls but only 48% with constant‐frequency tones. This work
Ibrahim Eshera +2 more
wiley +1 more source
Parent Interaction Between an Infant with a Cochlear Implant and Additional Disabilities [PDF]
Pediatric hearing loss has many spoken language learning issues that can impact parent-infant interaction. Moreover, additional disabilities are likely to increase stress, which could have cascading effects on communication.
Southern, Lillian
core +1 more source
Structural problems without structural solutions? Youth leaders' perceptions of their community
Abstract As young people explore and reflect on the conditions of their neighborhoods and communities, they can forge a critical consciousness—merging their perspectives and analysis to direct both individual and collective actions. Photovoice is a methodological tool that allows participants to document their perspectives and analysis and discuss with
Linnea L. Hjelm +4 more
wiley +1 more source

