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Voice

Voice refers to the sound produced by the vibration of the vocal cords in the larynx.
It is the primary means of verbal communication and expression.
Voice quality can be affected by various factors, such as pitch, volume, and timbre.
The study of voice and its production is a multidisciplinary field, involving anatomy, physiology, linguistics, and acoustics.
Researchers may investigate vocal cord function, speech disorders, or the use of voice in different contexts, such as singing or public speaking.
Understanding the complexity of voice is crucial for healthcare professionals, linguists, and communication specialists aiming to enhance vocal function and communication abilities.

Most cited protocols related to «Voice»

Adolescents completed the five PDS questions about physical development, scored from 1 (no) to 4 (development seems complete) (Petersen et al., 1988 ). Reliability of the PDS was high (α=0.77 for boys, α=.81 for girls). Few (3%) adolescents had missing PDS scores. We developed a coding system to convert the PDS to a 5-point scale in order to parallel the physical exam Tanner stages (available upon request). Although inter-related, puberty is not a single event. Therefore, our coding system differentially captured gonadal and adrenal hormonal signals of physical development. In girls, growth spurt, breast development, and menarche are associated with gonadal hormonal signals. In boys, growth spurt, deepening of voice and facial hair growth are associated with gonadal hormones. For both sexes, pubic/body hair and skin changes are associated with adrenal hormones.
Publication 2009
Adolescent Boys Breast Face Gonadal Hormones Gonads Hair Hormones Human Body Menarche Physical Examination Puberty Pubic Bone Skin Woman
Members of the national steering committee for tobacco control in Ghana were interviewed on various aspects of the FCTC as part of a larger study investigating smoking prevalence, tobacco control and tobacco industry activity in Ghana [11 (link)]. All 28 members of the committee were contacted initially by telephone to book an appointment for the interview. Face to face interviews were then carried out with consenting individuals using a semi-structured interview guide (see Appendix 1). Interviews were conducted in English, and covered current and potential policies for tobacco control in Ghana, awareness of the FCTC, specific achievements resulting from the FCTC, and the challenges, if any, of implementing the key elements of the FCTC. The latter included price and tax measures, protection from tobacco smoke exposure, regulation of tobacco product disclosure, packaging and labelling of tobacco products, education, communication, training and public awareness (media campaigns), demand reduction measures concerning tobacco dependence and cessation services, illicit trade, sales to and by minors, provision of support for viable alternative livelihoods, and research, surveillance, and exchange of information. Interviews were carried out between January and May 2008, and normally lasted between 45-60 minutes. All interviews were audio-recorded using a digital voice audio-recorder and transcribed verbatim by the researcher. The study was approved by the committee for human research and ethics of the Kwame Nkrumah University of Science and Technology, Kumasi, Ghana as well as the local ethics committee of the University of Nottingham, UK.
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Publication 2010
Awareness Committee Members Face Fingers Homo sapiens Regional Ethics Committees Smoke Tobacco Dependence Tobacco Products

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Publication 2013
Clip CTSB protein, human Friend Medical Devices
We conducted a sub-study within a study that was examining the well-being of older people on antiretroviral therapy (HIV treatment) in a rural setting in Uganda to explore the differences between data produced from audio recordings and those produced from notes and memory of the interview. In this study – which was led by one of the authors of this paper, JM – data were collected by two trained and experienced interviewers (both with more than 20 years of experience of qualitative data collection) (co-authors EK and GT) who used voice recorders as a data capture method. They conducted 30 interviews each. All interviews were conducted in Luganda, the main local language. As part of our sub-study, the interviewers, who were also trained and experienced in data capture without the use of voice recorders, were asked to prepare scripts in English of some of the interviews they had conducted without listening to the voice recordings. Preparation of these scripts was done immediately after each interview, preferably the same day, to minimise recall bias. Scheduling time for this activity was important for data management. The voice-recorded interviews were transcribed verbatim and translated into English by someone other than the interviewer. For this paper, 60 pairs of scripts/transcripts (each pair consisting of the transcript from the recorded interview and the script from the notes of the interview) were analysed and compared. The initial comparison was conducted by EK and GT. Subsequently four other co-authors of this paper (RR, JM, MM and JS) conducted further analysis and cross-checking to verify the initial findings.
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Publication 2019
Interviewers Memory Mental Recall

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Publication 2016
atezolizumab Biological Assay CD274 protein, human Cells Docetaxel Gene Expression Immunohistochemistry Neoplasms Patients Pharmacotherapy Tissues Treatment Protocols

Most recents protocols related to «Voice»

The study was reviewed and approved by the University of Melbourne Behavioral and Social Sciences Human Ethics Subcommittee, the University of Melbourne Human Research Ethics Committee, and the Victorian Aboriginal Health Service research subcommittee and Board of Directors in 2010. The methodology of the study and broader PhD program was grounded in Aboriginal scholar Lester-Irabinna Rigney’s three interrelated research principles that included privileging Aboriginal voices, political integrity, and resistance as the emancipatory imperative [31 , 32 ]. It also utilised Maori researcher Sir Mason Durie’s concept of research at the interface of Indigenous knowledge and science [33 (link)], with the design of the study also located in the field of psychology and public health.
Independent t-tests and pearson correlations were conducted to examine our hypotheses that: (1) client’s with personal experiences of child removal from natural family would report greater posttraumatic stress symptom severity in comparison to those who did not experience removal; (2) experiences of racism would be associated with greater posttraumatic stress symptom severity; and, (3) contrary to consistent findings in the worldwide PTSD literature, male Aboriginal help-seeking clients would report greater trauma symptom severity than female Aboriginal help-seeking clients. An exploratory analysis was also conducted to examine associations between trauma symptom severity and a range of strengths and cultural determinants of wellbeing from the subscales of the ARRQ (Gee, 2016), including: cultural identity, cultural practices, spirituality, community connection, opportunities in community, communal mastery, and safety. Hierarchical regression analysis was used to examine our hypothesis that (4) total strength scores would moderate the relationship between trauma exposure and trauma symptom severity, after controlling for financial distress. We also conducted an exploratory hierarchical regression analysis to investigate the contributing role of trauma exposure, stressful life events, and resilience in predicting trauma symptom severity, after controlling for financial distress.
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Publication 2023
Child Ethics Committees, Research Homo sapiens Males Maori Post-Traumatic Stress Disorder Safety Spiritual Therapies Woman Wounds and Injuries
Patient input was sought during consideration of the methods, review of study documents, and design of the survey, including the wording of outcomes, descriptors, and examples. Typically, the patient voice is not well-represented in outcome selection for clinical research,11 (link) and yet as the end-user of the evidence base that is developed through clinical research, it should be a priority. Patients brought expertise of their lived experience to the development process, with the key eligibility requirement being that they had sustained an injury within the scope of the COS.
Publication 2023
Eligibility Determination Injuries Patients
Quantitative data were analyzed using IBM SPSS (version 27). Descriptive statistics (i.e., means, standard deviations [SD], frequencies, percentages) were computed to describe the sample at baseline. Following this, data were checked for approximately normal distribution4, univariate (z-score greater than 3 or less than − 3) and multivariate outliers (p-value < 0.01 on the Mahalanobis Distance Test), and sphericity. In cases where outliers were identified, sensitivity testing was performed (with and without outliers) to affirm consistent trends in the data and then outliers were removed on a variable-by-variable basis to enhance homogeneity and maximize statistical power. Repeated measures analysis of variance [51 ] were conducted to examine changes across time points (baseline [week 0], post-intervention [week 8], follow-up [week 16]) in physical and psychological outcomes. Of note, data were not nested based on wave or instructor, no adjustments were made, and a higher type I error probability was set (i.e., an uncorrected significance level of 0.05) to decrease the risk of missing a potentially beneficial effect of yoga5. The effect size of these changes was computed with partial eta squared ( ηp2 ; small effect = 0.01, medium effect = 0.06, large effect = 0.14).
To analyze the qualitative data, interviews were transcribed verbatim and uploaded into NVivo (version 12) where they were subsequently analyzed by one author (EM) using conventional content analysis [52 (link)]. First, EM read each transcript several times to immerse herself in the data. Next, EM coded transcripts, created labels reflecting key ideas, and sorted the codes into higher-order categories. At this point, the author sent the coding scheme to another author (AW) who had reviewed the transcripts several times and challenged EM’s thoughts and interpretations. Following this, EM generated definitions for each category and selected exemplar quotes from the data to illustrate findings from the interviews. The penultimate coding scheme was then sent to all authors, each of whom was involved in the study design, intervention delivery, and/or data collection, to review and approve. Following this, EM revisited all raw data to ensure participants voices were accurately represented and the coding scheme was finalized. To promote rigor and trustworthiness, several steps recommended in the literature were followed [53 (link)]. The two authors who conducted the interviews (EM, KE) and one author who conducted the content analysis (EM) kept reflexivity journals and continuously (re-)examined their own perspectives and how they might influence interpretations. A critical friend (AW) challenged interpretations and sought to ensure the results represented participants’ voices and all authors critically reviewed the findings, and finally, category descriptions and exemplar quotes are available and presented herein to provide transparency.
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Publication 2023
Friend Hypersensitivity Muscle Rigidity Obstetric Delivery Physical Examination Reflex Thinking
Before formal data collection, the research purpose and contents were interpreted to the community-dwelling elders living alone. Meanwhile, we explained to the elders that the interview would be recorded and promised to keep this study confidential, strictly protecting the privacy of the subjects. Written informed consent was obtained thereafter. The demographic data were obtained before formal interviews were held, which were accomplished together with the same interviewer and recorder, DK and SL. The location of the interview was left to the discretion of the interviewees to choose a place that is quiet and familiar for older adults based on meeting the environmental requirements for interviews. The whole process was recorded synchronously using a voice recorder and non-verbal information, including expressions, body gestures, and tone, was observed and recorded in time. Various methods such as explanation, clarification, and questioning were applied during the interviews, and any inducement and suggestion were avoided. Each interview lasted for 20–40 min. When the interview was completed, the opinions of the participants were collected for a follow-up improvement. The sample size was considered until the data were repeated and no new topic emerged (46 (link)). After interviewing 13 older adults living alone, the data were saturated and no new content was included. We interviewed two more older adults living alone and confirmed that the data obtained were fully saturated. Finally, the data of 15 interviewees were analyzed.
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Publication 2023
Aged ARID1A protein, human elder flower Human Body Interviewers
Statistical analysis included descriptive statistics for age, sex, race, ethnicity, education, income, health literacy, employment, health insurance, Diabetes Risk Calculator (DRC), and weight status. Chi-square and independent t-tests were conducted to determine if any of the groups differed on baseline characteristics (Supplementary Table 1). Data were examined for the presence of outliers, violations of normality (for those continuous variables) and missing data. No violations of normality were detected. Between group differences in changes in BMI and other weight outcomes were prespecified using intention-to-treat (ITT) analysis. To simultaneously account for individual effects regardless of the condition, we employed a linear mixed effect model to a multi-treatment framework (33 (link)) for the treatment effect analysis (34 ). To be specific, two group dummies are in the model along with assessment time dummies and their interactions. This model allows us to control error non-independence of over time assessment within the same individual and heteroskedasticity caused by between individual heterogeneity, and a-priori-determined covariates that are influencing factors of outcome-specific production. The goal was to make more robust inferences about the treatment effect of main outcomes of interest: for example, the effect of Class/IVR and DVD/IVR in reducing BMI over 18 months when compared to SC group. For those participants with missing outcome measurements, we replaced the missing data with their baseline value following the Baseline Carried Forward approach.
Additionally, we conducted analysis based on participants completing at least 4 sessions (i.e., meeting NDPP threshold for recognition standards) (35 ), at least 6 months (i.e., core intervention effects), and the full 12 months (i.e., post-core effects). For the purposes of these analyses, class and “Live-Call” completion were calculated based on attendance, DVD was based on participant self-report, and IVR call completion was based on the voice files for the lesson of the week being played (24 (link)). Further, for the dichotomous outcome measures (i.e., achieve 5% weight loss goal), we treated those models as linear probability models in order to retain the straight-forward treatment effect interpretation of the results by applying generalized linear models in the analysis. Means and standard deviations for all primary and secondary outcomes at baseline, 6, 12, and 18 months are also presented. All statistical analyses were conducted in Stata v16 and the 5% significance level was used.
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Publication 2023
4-nitro-3-dimethylaminopropiophenone Diabetes Mellitus Ethnicity Genetic Heterogeneity Health Insurance Health Literacy

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More about "Voice"

Vocal Cords, Larynx, Phonation, Speech Production, Auditory-Vocal Interaction, Voice Disorders, Voice Quality, Pitch, Volume, Timbre, Vocal Anatomy, Vocal Physiology, Linguistics, Acoustics, Voice Research, Voice Healthcare, Voice Communication, Singing, Public Speaking, Vocal Function, Vocal Reproduction, Vocal Rehabilitation, Voice-Powered Optimization, Vocal Acoustics, Vocal Signal Processing, Voice Analysis, Voice Synthesis, Voice Transformation, Voice-Enabled Applications, Voice User Interfaces, Voice Technology, Volocity Software, MATLAB, Precisely Ultra VIEW VOX Confocal Imaging System, NVivo 11, NVivo 12, E-Prime Software, SPSS Statistics.