“NÓS PROPOMOS” EM MARABÁ: PROJETO DE ENSINO E EXTENÃO ACADÊMICA NO COLÉGIO DEUZUITA DE MELO ALBUQUERQUE.

Muito se assemelha a concepção de que a Geografia serve apenas para se memorizar algumas informações, sem haver uma discussão dos seus conhecimentos adquiridos. A educação geográfica e de forma geral, possibilita ao aluno o enfretamento à pobreza e corrobora na formação cidadã dos sujeitos presentes. Com esse intuito, surge o “Nós Propomos”, projeto este na qual tem origem portuguesa e recentemente expandiu-se para a Espanha e Brasil, atualmente está sendo realizado em parceria com mais de 20 instituições de ensino no território brasileiro. Por fim, esse trabalho tem como objetivo discutir e promover a ativa cidadania do território junto ao público escolar da rede básica de ensino, como proposta didática, sobretudo de extensão acadêmica e de ensino, promovendo a participação social no colégio Deuzuita de Melo Albuquerque, identificando os problemas locais, pesquisando sobre tais mazelas e procurando soluções de resolve-los juntamente aos alunos e comunidade

An analytical method to convert between speech recognition thresholds and percentage-correct scores for speech-in-noise tests

Speech-in-noise tests use fixed signal-to-noise ratio (SNR) procedures to measure the percentage of correctly recognized speech items at a fixed SNR or use adaptive procedures to measure the SNR corresponding to 50% correct (i.e., the speech recognition threshold, SRT). A direct comparison of these measures is not possible yet. The aim of the present study was to demonstrate that these measures can be converted when the speech-in-noise test meets specific criteria. Formulae to convert between SRT and percentage-correct were derived from basic concepts that underlie standard speech recognition models. Information about the audiogram is not being used in the proposed method. The method was validated by comparing the direct conversion by these formulae with the conversion using the more elaborate Speech Intelligibility Index model and a representative set of 60 audiograms (r¼0.993 and r¼0.994, respectively). Finally, the method was experimentally validated with the Afrikaans sentence-in-noise test (r¼0.866). The proposed formulae can be used when the speech-in-noise test uses steady-state masking noise that matches the spectrum of the speech. Because pure tone thresholds are not required for these calculations, the method is widely applicable.http://asa.scitation.org/journal/jasam2022Speech-Language Pathology and Audiolog

Performance and reliability of a smartphone digits-in-noise test in the sound field

PURPOSE : This study compared the speech reception thresholds (SRTs) and test–retest reliability of the smartphone digits-in-noise (DIN) test coupled to various sound-field transducers. METHOD : Fifty normal-hearing participants (bilateral pure- tone thresholds 0.5–8kHz ≤ 15dB HL) between the ages of 18 and 25 years (M = 20, SD = ±1.9) were recruited. The study used a repeated measure counterbalanced Latin square design to compare the SRTs of the smartphone DIN test recorded with earphones, 2 smartphone speakers, and 2 external loudspeakers in a sound booth. Test–retest reliability across sound field conditions was also determined. RESULTS : Mean SRTs across earphone and different sound field transducers ranged from −11.3 (SD = 0.8) to −11.7 (SD = 1.2). SRTs across the 4 different loudspeaker transducers and earphones were not significantly different (p > .05) between test and retest sessions. CONCLUSION : The smartphone DIN test is reliable and can be conducted using various sound field transducers in a sound booth. To allow home-based testing without earphones, with special application to aided performance for speech-in-noise testing, the smartphone DIN test should be evaluated in home environments.This article is part of the Special Issue: Select Papers From the Hearing Across the Lifespan (HEAL) 2018 Conference.The National Research Foundationhttps://pubs.asha.org/journal/ajahj2020Speech-Language Pathology and Audiolog

Digital technology for remote hearing assessment—current status and future directions for consumers

Globally, more than 1.5 billion people have hearing loss. Unfortunately, most people with hearing loss reside in low- and middle-income countries (LMICs) where traditional face-to-face services rendered by trained health professionals are few and unequally dispersed. The COVID-19 pandemic has further hampered the effectiveness of traditional service delivery models to provide hearing care. Digital health technologies are strong enablers of hearing care and can support health delivery models that are more sustainable. The convergence of advancing technology and mobile connectivity is enabling new ways of providing decentralized hearing services. Recently, an abundance of digital applications that offer hearing tests directly to the public has become available. A growing body of evidence has shown the ability of several approaches to provide accurate, accessible, and remote hearing assessment to consumers. Further effort is needed to promote greater accuracy across a variety of test platforms, improve sensitivity to ear disease, and scale up hearing rehabilitation, especially in LMICs.https://www.mdpi.com/journal/sustainabilitydm2022Speech-Language Pathology and Audiolog

Evaluation of (fli:GFP) Casper Zebrafish Embryos as a Model for Human Conjunctival Melanoma

Conjunctival melanoma (CM) is a rare malignant disease that can lead to recurrences and metastases. There is a lack of effective treatments for the metastases, and we set out to develop a new animal model to test potential therapies. Zebrafish are being used as a model for many diseases, and our goal was to test whether this animal could be used to study CM.\nThree human CM cell lines (CRMM-1 and CM2005.1, which both harbor a B-RAF mutation, and CRMM-2, which has an N-RAS mutation) were injected into the yolk sac, around the eye, and into the duct of Cuvier of transgenic (fli:GFP) Casper zebrafish embryos. Fluorescent and confocal images were taken to assess the phenotype and the behavior of engrafted cells and to test the effect of Vemurafenib as a treatment against CM.\nWhile the cells that had been injected inside the yolk sac died and those injected around the eye sporadically went into the circulation, the cells that had been injected into the duct of Cuvier colonized the zebrafish: cells from all three cell lines proliferated and disseminated to the eyes, where they formed clusters, and to the tail, where we noticed extravasation and micrometastases. Vemurafenib, a potent agent for treatment of B-RAF V600E-positive melanoma, inhibited outgrowth of CRMM-1 and CM2005.1 cells in a mutation-dependent way.\nThe (fli:GFP) Casper zebrafish embryo can be used as an efficient animal model to study metastatic behavior of human CM cells and warrants further testing of drug efficacy to aid care of CM patients.\nPurpose\nMethods\nResults\nConclusionsAnimal science

Pure-tone audiometry without bone-conduction thresholds : using the digits-in-noise test to detect conductive hearing loss

OBJECTIVE: COVID-19 has been prohibitive to traditional audiological services. No- or low-touch audiological assessment outside a sound-booth precludes test batteries including bone conduction audiometry. This study investigated whether conductive hearing loss (CHL) can be differentiated from sensorineural hearing loss (SNHL) using pure-tone air conduction audiometry and a digits-in-noise (DIN) test. DESIGN: A retrospective sample was analysed using binomial logistic regressions, which determined the effects of pure tone thresholds or averages, speech recognition threshold (SRT), and age on the likelihood that participants had CHL or bilateral SNHL. STUDY SAMPLE: Data of 158 adults with bilateral SNHL (n ¼ 122; PTA0.5–4 kHz > 25 dB HL bilaterally) or CHL (n ¼ 36; air conduction PTA0.5–4 kHz > 25 dB HL and 20 dB air bone gap in the affected ears) were included. RESULTS: The model which best discriminated between CHL and bilateral SNHL used low-frequency puretone average (PTA), diotic DIN SRT, and age with an area under the ROC curve of 0.98 and sensitivity and specificity of 97.2 and 93.4%, respectively. CONCLUSION: CHL can be accurately distinguished from SNHL using pure-tone air conduction audiometry and a diotic DIN. Restrictions on traditional audiological assessment due to COVID-19 require lower touch audiological care which reduces infection risk.https://www.tandfonline.com/loi/iija202021-07-01pm2021Electrical, Electronic and Computer EngineeringSpeech-Language Pathology and Audiolog

Satisfaction with hearing assessment feedback using the My Hearing Explained tool : client and audiologist perceptions

OBJECTIVE : To determine the perceived satisfaction and understanding of hearing assessment feedback, using the Ida My Hearing Explained Tool (IMHET), compared to the standard audiogram reported by adult clients and audiologists. DESIGN : This study is a mixed-method design comparing clients and audiologists’ perceptions through a single-blinded, randomised control trial and focus group discussions. After using either the audiogram or IMHET for feedback, clients and audiologists completed the adapted Patient Satisfaction Questionnaire (PSQ). STUDY SAMPLE : During client’s initial audiological consultations, audiologists provided hearing assessment feedback (Total = 51) using the IMHET or audiogram. Twenty-seven clients and seven audiologists participated in focus groups, and/or open-ended questions. RESULTS : Satisfaction was not significantly different (p > 0.05) between the IMHET (76.18; SD: 2.66) or audiogram (75.63; SD: 4.73) for the overall PSQ scores reported by clients and audiologists. Two shared main themes, understanding and satisfaction, were identified for both tools from the focus groups and open-ended questions. A third main theme, recommendations, was identified only for the IMHET. CONCLUSIONS : The IMHET is a valuable resource for clients during hearing assessment feedback. Audiologists recommend that the audiogram be used as a supplement when using the IMHET to provide feedback.https://www.tandfonline.com/loi/iija20hj2023Science, Mathematics and Technology EducationSpeech-Language Pathology and Audiolog

Do smartphone hearing aid apps work

Hearing aids are a central part of managing adults with hearing loss. Despite evidence supporting improved listening abilities and quality of life as a result of hearing aid use, device uptake remains poor. People with hearing loss typically take action only after an average of six to 12 years from the initial identification of the loss. Various factors hinder help-seeking and hearing aid uptake, including personal readiness, finances, and stigmatization. Having amplification alternatives within a consumer-driven service delivery model has the potential to increase a person's options and initial access to hearing care. Traditionally, a hearing aid is prescribed after evaluation by a licensed professional. In 2016, the U.S. Food and Drug Administration (FDA) published a non binding guidance document no longer enforcing medical assessment before the provision of amplification, thus allowing alternative self-test diagnostics and hearing devices.The National Institute of Deafness and Communication Disorders of the National Institutes of Health under Award Number 5R21DC016241-02.https://journals.lww.com/thehearingjournal/pages/default.aspx2020-11-01hj2020Speech-Language Pathology and Audiolog

Characteristics and help-seeking behavior of people failing a smart device self-test for hearing

PURPOSE : This study investigated user characteristics, help-seeking behavior, and follow-up actions of people who failed an app-based digits-in-noise hearing screening test, considering their stage of change. METHOD : Test and user characteristics of 3,092 listeners who failed the test were retrospectively analyzed. A posttest survey determining follow-up (verb) actions was sent to listeners who failed the test (n = 1,007), of which 59 responded. RESULTS : The majority of listeners were in the precontemplation stage (75.5%). Age and stage of change were significant (p < .05) predictors of the digits-in-noise speech recognition threshold (DIN SRT). Listeners in the precontemplation stage were significantly younger than in other stages (p < .05). Posttest survey response rate was low (5.9%). Of those, most (82.4%) did not think they had a hearing loss. Only 13.6% followed up with an audiologist. CONCLUSION : Older people presented with poorer DIN SRTs and were typically in a more advanced stage of change. The majority of those who did not follow up after failing the screening test did not believe they had a hearing loss. A combination of factors, including poor DIN SRT, older age, and a more advanced stage of change inclined participants to follow up with audiological care.https://pubs.asha.org/journal/ajahj2021Speech-Language Pathology and Audiolog