Search Results (697)

The acquisition of a person’s first language is one of their greatest accomplishments. Nevertheless, being fluent in sign language presents challenges for many deaf students who rely on it for communication. Effective communication is essential for both personal and professional interactions and is critical for community engagement. However, the lack of a mutually understood language can be a significant barrier. Estimates indicate that a large portion of New Zealand’s disability population is deaf, with an educational approach predominantly focused on oralism, emphasizing spoken language. This makes it essential to bridge the communication gap between the general public and individuals with speech difficulties. The aim of this project is to develop an application that systematically cycles through each letter and number in New Zealand Sign Language (NZSL), assessing the user’s proficiency. This research investigates various machine learning methods for hand gesture recognition, with a focus on landmark detection. In computer vision, identifying specific points on an object—such as distinct hand landmarks—is a standard approach for feature extraction. Evaluation of this system has been performed using machine learning techniques, including Random Forest (RF) Classifier, k-Nearest Neighbours (KNN), AdaBoost (AB), Naïve Bayes (NB), Support Vector Machine (SVM), Decision Trees (DT), and Logistic Regression (LR). The dataset used for model training and testing consists of approximately 100,000 hand gesture expressions, formatted into a CSV dataset for model training. Full article

This study investigates the challenges of promoting accessibility for deaf teachers and students in higher education, focusing on the development of inclusive teaching materials. A qualitative case study was conducted in ten teacher training programmes at the Federal University of Alagoas (Brazil), including nine distance learning courses and one face-to-face LIBRAS programme. Analysis of the Virtual Learning Environment revealed a predominance of text-based content, with limited use of Libras videos, visual resources, or assistive technologies. The integration of Brazilian Sign Language into teaching practices was minimal, and digital translation tools were rarely used or contextually appropriate. Educators reported limited training, technical support, and institutional guidance for the creation of accessible materials. Time constraints and resource scarcity further hampered inclusive practices. The results highlight the urgent need for institutional policies, continuous teacher training, multidisciplinary support teams, and the strategic use of digital technologies and Artificial Intelligence (AI). Compared with previous studies, significant progress has been made. The present study highlights the establishment of an Accessibility Centre (NAC) and an Accessibility Laboratory (LAB) at the university. These facilities are designed to support the development of policies for the inclusion of people with disabilities, including deaf students, and to assist teachers in designing educational resources, which is essential for enhancing accessibility and learning outcomes. Artificial intelligence tools—such as sign language translators including Hand Talk, VLibras, SignSpeak, Glove-Based Systems, the LIBRAS Online Dictionary, and the Spreadthesign Dictionary—can serve as valuable resources in the teaching and learning process. Full article

Purpose: The present study aimed to describe the adaptation and validation process of the MuRQoL (Music Related Quality of Life questionnaire) from English to Hebrew and to describe normative data from a cohort of adults with normal hearing versus those with hearing aids or cochlear implants. Methods: After thoroughly translating and adapting to Hebrew, the participants completed the questionnaire online. We calculated the Cronbach’s alpha and McDonald’s omega scores for all scales and subscales. The construct validity of the questionnaire was evaluated using Confirmatory Factor Analysis (CFA) and the “known group” method. A total of 310 adults participated in this study. Fifty-four participants were deaf or hard of hearing, and 256 had normal hearing. Results: Internal consistency of the MuRQoL-He scales and subscales demonstrated good-to-excellent reliability. The goodness-of-fit indices for the frequency and importance scales were within acceptable standards. We found a significant difference in the frequency scale, where the normal-hearing group scores were significantly higher than those of the deaf and hard-of-hearing groups. Conclusions: The validity and reliability of the MuRQoL-He have been confirmed, indicating that it is suitable for guiding music rehabilitation for Hebrew-speaking deaf and hard-of-hearing adults. Full article

Parenting stress significantly affects caregivers of deaf and hard-of-hearing (DHH) children, influenced by unique challenges and stressors. Background/Objectives: This study aims to develop the Chinese Family Stress Scale (CFSS) and to identify the stressors and contributing factors to elevated stress levels. Methods: The study involved 257 caregivers of DHH children aged 0–12 years old. The CFSS was used to assess parenting stress in caregivers of DHH children, with its reliability and validity evaluated. Factors such as speech intelligibility, oral language use, self-compassion, and social support were examined for their impact on parenting stress. Results: Key stressors included financial issues, discipline, education concerns, medical care, and safety. Elevated parenting stress was significantly associated with poor speech intelligibility of the child, inadequate oral language use, negative aspects of self-compassion, and insufficient social support. The CFSS showed good reliability and validity in measuring parenting stress among caregivers of DHH children. Conclusions: The CFSS is an effective tool for assessing parenting stress in caregivers of DHH children. Interventions to reduce parenting stress can focus on improving children’s communication skills, enhancing caregiver self-compassion, and bolstering social support networks. Full article

Background/Objectives: Wolfram syndrome is a rare neurodegenerative disorder primarily known for its multisystemic manifestations. Although classically associated with diabetes insipidus, diabetes mellitus, optic atrophy, and deafness, emerging evidence suggests a consistent pattern of executive dysfunction in many affected individuals. Methods: Based on findings from a scoping review and results obtained through the Dysexecutive Questionnaire in a Spanish patient cohort, we propose that WFS1 gene mutations—via chronic endoplasmic reticulum stress—disrupt serotonergic and cholinergic neurotransmission, leading to impairments in planning, inhibition, and emotional regulation. Results: Importantly, recent studies have highlighted the interplay between WFS1-related molecular dysfunction and circadian regulation. Given the role of the endoplasmic reticulum and mitochondrial signaling in circadian homeostasis, and the frequent sleep disturbances observed in patients with Wolfram syndrome, we hypothesize that circadian dysregulation may contribute to the neurobehavioral phenotype. Conclusions: This essay explores neuropsychological foundations of executive dysfunction in WS, and frames the current evidence as hypothesis-generating rather than causal; executive difficulties may be a salient clinical feature and merit consideration in routine care. Furthermore, the potential involvement of circadian mechanisms opens new avenues for future research and therapeutic approaches. Because circadian disruption is linked to psychiatric symptoms and fatigue, emphasizing diurnal patterns, sleep–wake timing, and chronotype may guide circadian-informed assessment. Full article

Background: Cochlear implants (CIs) serve diverse populations with hearing loss, but patients with single-sided deafness (SSD) often show lower post-implantation usage and satisfaction than bilateral CI users. This disparity may stem from their normal contralateral ear providing sufficient auditory input for many daily situations, reducing the perceived need for consistent CI use. Consequently, uniform screening and evaluations, typically designed for bilateral hearing loss, often fail to address SSD’s unique needs. Methods: This narrative review synthesizes the current literature to explore patient and device factors shaping CI integration, outcomes, and experience in SSD. It highlights implications for developing personalized care strategies distinct from those used in bilateral hearing loss. Results: SSD patients face unique challenges: reliance on compensatory behaviors and significant auditory processing difficulties like acoustic–electric mismatch and place–pitch discrepancy. Anatomical factors and deafness of duration also impact outcomes. Traditional measures are often insufficient due to ceiling effects. Music perception offers a sensitive metric and rehabilitation tool, while big data and machine learning show promise for predicting outcomes and tailoring interventions. Conclusions: Optimizing CI care for SSD necessitates a personalized approach across candidacy, counseling, and rehabilitation. Tailored strategies, including individualized frequency mapping, adaptive auditory training, advanced outcome metrics like music perception, and leveraging big data for precise, data-driven predictions, are crucial for improving consistent CI usage and overall patient satisfaction. Full article

Introduction: Most audiometers have an in-built “Stenger test” setting. The test is sometimes applied in cases of single-sided deafness as an indicator of malingering. Although textbooks have been written about it, the underlying conditions remain enigmatic. The literature usually points to psychological problems, pointing to the patient as having “nonorganic hearing loss”, “malingering”, “false and exaggerated hearing loss”, “hysterical hearing loss”, or “pseudohypoacusis”. These are all non-objective features without a sound scientific base, and the test tends to blame the patient for providing non-repeatable hearing thresholds. Methods: This opinion piece looks at the literature surrounding the Stenger test and the factors that might cause hearing threshold variability and concludes that the test has a subjective basis that makes it unscientific. In our opinion, we also think it is ethically questionable to blame the patient for malingering when there are non-repeatable findings. In order to make the test scientifically valid, we frame a testable hypothesis: that the Stenger effect could be due to unrecognised contraction of the middle ear muscles in response to stimulation of the contralateral (worse-hearing) ear. That is, we suppose that bilateral contraction impairs thresholds in both the good and poor ear, so the subject can no longer hear a tone in their good ear which they previously could when their audiogram was established monaurally. Thus, we make the case that the subject is not malingering—they genuinely cannot hear the test tones in either ear. Discussion and Conclusions: We believe it is incorrect to blame the patient when the problem may lie with incomplete understanding of how the auditory system functions bilaterally. The test needs to be objectively investigated and perhaps reinterpreted in terms of hearing sensitivity in one ear being reduced by sound levels in the contralateral ear. If this is not possible, we suggest it would be better if the Stenger test were abolished. Full article

Communication plays a vital role in conveying messages, expressing emotions, and sharing perceptions, becoming a fundamental aspect of human interaction with the environment. For individuals with hearing impairments, sign language serves as an essential communication tool, enabling interaction both within the deaf community and with non-deaf individuals. This study aims to bridge this misconception by developing an iconic language recognition system using the Deep Learning-based YOLO-v11 algorithm. YOLO-v11, a state-of-the-art object detection algorithm, is known for its speed, accuracy, and efficiency. The system uses image recognition to identify hand gestures in ASL and translates them into text or speech, facilitating inclusive communication. The accuracy of the training model is 94.67%, and the accuracy of the testing model is 93.02%, indicating that the model has excellent performance in recognizing sign language from the training and testing datasets. Additionally, the model is very reliable in recognizing the classes “Hello”, “I Love You”, “No”, and “Thank You” with a sensitivity close to or equal to 100%. This research contributes to advancing communication equality for individuals with hearing impairments, promoting inclusivity, and supporting their integration into society. Full article

Background: Aminoacyl-tRNA synthetases (ARSs) are a group of enzymes responsible for the first step of protein translation. Among them, the KARS1 gene encodes lysyl-tRNA synthetase 1, an enzyme essential for charging tRNA-Lys with lysine in both the cytoplasm and mitochondria. Mutations in KARS1 are associated with a wide range of clinical phenotypes, including leukoencephalopathy, hereditary deafness, peripheral neuropathies, and multisystemic involvement. Methods: We hereby report a detailed case study of a 15-month-old boy presenting at age 5 months with developmental delay, microcephaly, hypotonia, sensorineural deafness, retinopathy, visual impairment, nystagmoid eye movements, and hepatic and immuno-hematological abnormalities. In addition, he exhibited a severe hyperkinetic movement disorder, not previously reported in the literature, and developed epilepsy at 13 months. Genetic testing identified two rare compound heterozygous variants in the KARS1 gene. Results: With this report, we aim to contribute to the expanding of both the clinical phenotype and the allelic spectrum of lysyl-tRNA synthetase-related disorders. Our study also includes a review of previously described KARS1 cases presenting with movement disorders. Conclusions: Our findings further highlight the importance of assessing systemic involvement and performing brain and spinal neuroimaging, as well as implementing genetic screening, in infants presenting with global developmental delay, sensory deficits, and movement disorders—features that may suggest a mitochondrial disorder such as those involving ARS mutations. Full article

Sign language recognition technology serves as a crucial bridge, fostering meaningful connections between deaf individuals and hearing individuals. This technological innovation plays a substantial role in promoting social inclusivity. Conventional sign language recognition methodologies that rely on static images are inadequate for capturing the dynamic characteristics and temporal information inherent in sign language. This limitation restricts their practical applicability in real-world scenarios. The proposed framework, called SSTA-ResT, integrates ResNet, soft spatiotemporal attention, and Transformer encoders to achieve this objective. The framework utilizes ResNet to extract robust spatial feature representations, employs the lightweight SSTA module for dual-path complementary representation enhancement to strengthen spatiotemporal associations, and leverages the Transformer encoder to capture long-range temporal dependencies. Experimental results on the LSA64 Argentine Sign Language (ASL) dataset demonstrate that the proposed method achieves an accuracy of 96.25%, a precision of 97.18%, and an F1 score of 0.9671. These results surpass the performance of existing methods across all metrics while maintaining a relatively low model parameter count of 11.66 M. This demonstrates the framework’s effectiveness and practicality for sign language video recognition tasks. Full article

There is a pressing need to build a sign-to-text translation system to simplify communication between deaf and non-deaf people. This study investigates the building of a high-performance, lightweight sign language translation system suitable for real-time applications. Two Saudi Sign Language datasets are used for evaluation. We also investigate the effects of the number of signers and number of repetitions in sign language datasets. To this end, eight experiments are conducted in both signer-dependent and signer-independent modes. A comprehensive ablation study is presented to study the impacts of model components, network depth, and the size of the hidden dimension. The best accuracies achieved are 97.7% and 90.7% for the signer-dependent and signer-independent modes, respectively, using the KSU-SSL dataset. Similarly, the model achieves 98.38% and 96.22% for signer-dependent and signer-independent modes using the ArSL dataset. Full article

Background: Endometriosis is a chronic, estrogen-dependent inflammatory and immunological disease, with chronic pain being its predominant clinical manifestation. This condition significantly impairs quality of life and is frequently associated with depressive and anxiety symptoms, further exacerbating social and occupational dysfunction in affected women. The aim of this study was to assess the relationship between chronic pain in patients with endometriosis and the severity of depressive symptoms. Methods: A retrospective analysis was conducted on the medical records of 60 women of reproductive age treated at the Tomaszewski Medical Center in Białystok between 2023 and 2024. Pain intensity was evaluated using the Visual Analogue Scale (VAS) and the McGill Pain Questionnaire, while depressive symptoms were assessed with the Beck Depression Inventory (BDI). Results: Statistical analyses included the Student t-test, Wilcoxon signed-rank test, chi-square test, and Shapiro–Wilk test, with significance set at p < 0.05. Pain intensity was significantly higher during menstruation (M = 7.23) compared to non-menstrual phases of the cycle (M = 4.55; p < 0.001). Accompanying symptoms included sleep disturbances, reduced activity, and gastrointestinal complaints. Depressive symptoms were also more severe during menstruation (M = 30.12) than during the rest of the cycle (M = 22.15; p < 0.001). A significant association between pain severity and depressive symptoms was observed during menstruation (χ²(4) = 12.89; p = 0.012), but not outside this phase. Conclusions: (1) Pain in endometriosis is chronic and cyclic in nature. (2) Depressive symptoms are common but may be masked by nonspecific somatic complaints. (3) Pain intensity strongly correlates with the severity of depressive disorders, particularly during menstruation. (4) The coexistence of depression significantly impairs patient functioning. (5) Effective management of endometriosis should integrate gynecological treatment with psychological support and psychiatric care when necessary. Full article

STEM ideologies provoke environmental destruction from which deaf, disabled, and Indigenous people are uniquely targeted. Our analysis counteracts harms caused by governmental, industrial, and educational agents who weaponize STEM ideologies against downstream people, animals, plants, environments, and biogeochemical entities. We explore two research questions via a theoretical framework about biocultural deaf gains and deaf/Indigenous languacultures to center the arts in STEAM. As a result, we synthesized a conceptual framework called Deaf and Indigenous Curricula and Eco-pedagogies (DICE), which are multimodal, multilingual approaches to STEAM education emphasizing place-based ecology and the arts, including knowledge emanating from Indigenous Deaf Cultures, Indigenous sign languages, and epistemologists who are deaf, disabled, women, and Indigenous (singly or in combination). DICE is designed to reinvigorate communities and ecologies at risk of destruction from colonialism and runnamok capitalism. Within and across Indigenous and Deaf lifeworlds, our model explores: collaboration, mutualism, and symbiosis. These are situated in examples drawn from the research, abductive reasoning, our life histories, and the creative works of Deaf Indigenous scientists and artists. In sum, alongside uprising Indigenous voices, deaf hands shall rise in solidarity to aid Earth’s defense. Full article

The basic tone of the human voice is generated in the larynx, which is reinforced by and derives its distinctive features from the resonance of the oral and nasal cavities An inappropriate ratio between oral and nasal resonance results in a more nasal timbre of the voice, which is referred to as nasality (hypernasality). Nasality is often present in hearing-impaired patients, and various studies have shown that hypoacusis, including partial deafness (PD), causes voice disorders as a result of disturbed control over the complex process of voice production. This study describes our investigation of nasality in 20 adult Polish patients with post-lingual partial deafness. The results show that PD patients developed more nasality in their voices when compared with individuals in the control group. Observations made 9 months after cochlear implantation for partial deafness indicated a reduction in nasality, with the changes in acoustic parameters achieving statistical significance. Background/Objectives: This study aimed to assess whether partial deafness (PD) causes changes in nasal resonance in adult patients and whether partial deafness cochlear implantation (PDCI) influences the level of nasality. Methods: Voice samples from 20 patients attending the Institute of Physiology and Pathology of Hearing in Warsaw with partial deafness were analyzed and compared with samples from 20 individuals with normal hearing. Voice samples from the same patients were comparatively analyzed at 9 months after cochlear implantation. The level of nasality was assessed using the FFT (Fast Fourier Transform) for acoustic analysis, as well as subjective description by two experienced medical professionals (a medical doctor and a clinical acoustician). Pearson analysis was then performed to determine the correlations between the objective and subjective assessments. Paired two-sample t-tests for means were conducted for statistical analysis. All patients of the Institute of Physiology and Pathology of Hearing in Warsaw declared their deliberate consent to all necessary diagnostic and therapeutic procedures upon admittance. Results: The results show that post-lingual partial deafness causes nasality in adult patients when measured both objectively (p = 0.0001) and subjectively. The average objective level of nasality was 21 dB (SD 4.5), while the subjective level was an average grade of 1.25. The level of nasality presented a positive correlation with the duration of partial deafness. The assessment performed 9 months after cochlear implantation showed a reduction in nasality, achieving 17 dB (SD 4.2) in the objective measurement (p = 0.0002) and a grade of 0.5 when assessed subjectively. Pearson analysis showed a weak correlation between the objective measurement and subjective assessment (r = 0.2). Conclusions: Post-lingual partial deafness causes nasality in adults in a manner that is positively correlated with the duration of hearing impairment. Partial deafness cochlear implantation reduced nasality after 9 months of observation, as shown both objectively (MDVP) and subjectively (perceptual assessment). However, the correlation between the objective and subjective results is rather weak; therefore, objective acoustic methods (e.g., MDVP) should preferably be used for a more credible assessment, while the subjective method may only serve as a rough and general tool in everyday clinical use. Full article

Background/Objectives: Research raising concerns about the occupational health of signed language interpreters has proliferated in the past two decades. Recent studies examining interpreters’ various work settings find that Video Relay Service (VRS) work is linked to greater health risks than other interpreting settings. This study aimed to shed light on why VRS work appears to be particularly hazardous. Methods: This mixed-methods study reports data from an online survey of 345 American VRS interpreters. Participants were queried about a range of potentially stressful experiences with callers. Quantitative data regarding the types, frequency, patterns, and consequences of stressful calls were further informed by qualitative data reported by participants in free-response survey fields. Results: Incidents of VRS interpreters mediating calls regarding sexual activity, drug deals, and prostitution were reported with notable frequency, as was interpreters’ witnessing abuse of vulnerable individuals. Interpreters also were often the object of callers’ derisive sexual, physical, and racial comments. Yet the incidence of participants reporting these experiences to management or outside authorities was quite limited despite the potential legal jeopardy involved. When reports were made, most participants stated their companies took little or no action. We also examined how factors such as the tenure of VRS, hours worked per week, and work shift times were associated with such caller experiences. Conclusions: This study builds upon prior VRS health risk research by examining external factors, including caller behavior and employer policies, that may contribute to interpreter stress and burnout. Suggestions for remediation and workforce development, involving VRS companies, the Federal Communications Commission (FCC) and state legislation are offered. Full article