Critical Need for Appropriate Mucosal Sample Collection to Determine Relational Animal Pharmacokinetic–Pharmacodynamic Models in HIV Prevention

Leslie Marshall; James Cummins; Hans Spiegel; James Turpin; Fulvia Veronese; Angela Kashuba, on behalf of the HIV Preve

doi:10.1089/aid.2013.0142

Critical Need for Appropriate Mucosal Sample Collection to Determine Relational Animal Pharmacokinetic–Pharmacodynamic Models in HIV Prevention

AIDS Research and Human Retroviruses ◽

10.1089/aid.2013.0142 ◽

2013 ◽

Vol 29 (11) ◽

pp. 1398-1400

Author(s):

Leslie Marshall ◽

James Cummins ◽

Hans Spiegel ◽

James Turpin ◽

Fulvia Veronese ◽

...

Keyword(s):

Hiv Prevention ◽

Sample Collection ◽

Mucosal Sample

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Implementation of a Training Program to Standardize Mucosal Sample Collection and Processing at Multiple Laboratories in Eastern Africa

AIDS Research and Human Retroviruses ◽

10.1089/aid.2014.5521.abstract ◽

2014 ◽

Vol 30 (S1) ◽

pp. A236-A237

Author(s):

Gloria Omosa-Manyonyi ◽

Robert Langat ◽

Elizabeth Mutisya ◽

Harriet Park ◽

Philip Bergin ◽

...

Keyword(s):

Training Program ◽

Eastern Africa ◽

Sample Collection ◽

Mucosal Sample

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Evaluation of Acoustic Analyses of Voice in Nonoptimized Conditions

Journal of Speech Language and Hearing Research ◽

10.1044/2020_jslhr-20-00212 ◽

2020 ◽

Vol 63 (12) ◽

pp. 3991-3999

Author(s):

Benjamin van der Woerd ◽

Min Wu ◽

Vijay Parsa ◽

Philip C. Doyle ◽

Kevin Fung

Keyword(s):

Repeated Measures ◽

Voice Quality ◽

Data Sets ◽

Acoustic Measurements ◽

Sample Collection ◽

Experimental Conditions ◽

Environment Analysis ◽

Acoustic Measures ◽

Recording Conditions ◽

Cepstral Peak Prominence

Objectives This study aimed to evaluate the fidelity and accuracy of a smartphone microphone and recording environment on acoustic measurements of voice. Method A prospective cohort proof-of-concept study. Two sets of prerecorded samples (a) sustained vowels (/a/) and (b) Rainbow Passage sentence were played for recording via the internal iPhone microphone and the Blue Yeti USB microphone in two recording environments: a sound-treated booth and quiet office setting. Recordings were presented using a calibrated mannequin speaker with a fixed signal intensity (69 dBA), at a fixed distance (15 in.). Each set of recordings (iPhone—audio booth, Blue Yeti—audio booth, iPhone—office, and Blue Yeti—office), was time-windowed to ensure the same signal was evaluated for each condition. Acoustic measures of voice including fundamental frequency ( f o ), jitter, shimmer, harmonic-to-noise ratio (HNR), and cepstral peak prominence (CPP), were generated using a widely used analysis program (Praat Version 6.0.50). The data gathered were compared using a repeated measures analysis of variance. Two separate data sets were used. The set of vowel samples included both pathologic ( n = 10) and normal ( n = 10), male ( n = 5) and female ( n = 15) speakers. The set of sentence stimuli ranged in perceived voice quality from normal to severely disordered with an equal number of male ( n = 12) and female ( n = 12) speakers evaluated. Results The vowel analyses indicated that the jitter, shimmer, HNR, and CPP were significantly different based on microphone choice and shimmer, HNR, and CPP were significantly different based on the recording environment. Analysis of sentences revealed a statistically significant impact of recording environment and microphone type on HNR and CPP. While statistically significant, the differences across the experimental conditions for a subset of the acoustic measures (viz., jitter and CPP) have shown differences that fell within their respective normative ranges. Conclusions Both microphone and recording setting resulted in significant differences across several acoustic measurements. However, a subset of the acoustic measures that were statistically significant across the recording conditions showed small overall differences that are unlikely to have clinical significance in interpretation. For these acoustic measures, the present data suggest that, although a sound-treated setting is ideal for voice sample collection, a smartphone microphone can capture acceptable recordings for acoustic signal analysis.

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Issues in Language Sample Collection and Analysis With Children Using AAC

Perspectives on Augmentative and Alternative Communication ◽

10.1044/aac23.2.65 ◽

2014 ◽

Vol 23 (2) ◽

pp. 65-74 ◽

Cited By ~ 2

Author(s):

Gail Van Tatenhove

Keyword(s):

Clinical Practice ◽

Augmentative And Alternative Communication ◽

Language Production ◽

Expressive Language ◽

Sample Analysis ◽

Alternative Communication ◽

Sample Collection ◽

Speech Language Pathologists ◽

Language Sample Analysis ◽

Language Sample

Language sample analysis is considered one of the best methods of evaluating expressive language production in speaking children. However, the practice of language sample collection and analysis is complicated for speech-language pathologists working with children who use augmentative and alternative communication (AAC) devices. This article identifies six issues regarding use of language sample collection and analysis in clinical practice with children who use AAC devices. The purpose of this article is to encourage speech-language pathologists practicing in the area of AAC to utilize language sample collection and analysis as part of ongoing AAC assessment.

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