Acoustic Determinants to Group-Specific Vocalizations and Dialect: The Effects of Environment on Infant Vocalizations of Cebus capucinus, and Utilizing Two Field Sites with a Shared Taxon for a Comparative Ecological Study

2015 ◽  
pp. 487-493
Author(s):  
Andrew R. Halloran ◽  
Sarah Mancz
2019 ◽  
Vol 62 (9) ◽  
pp. 3265-3275
Author(s):  
Heather L. Ramsdell-Hudock ◽  
Anne S. Warlaumont ◽  
Lindsey E. Foss ◽  
Candice Perry

Purpose To better enable communication among researchers, clinicians, and caregivers, we aimed to assess how untrained listeners classify early infant vocalization types in comparison to terms currently used by researchers and clinicians. Method Listeners were caregivers with no prior formal education in speech and language development. A 1st group of listeners reported on clinician/researcher-classified vowel, squeal, growl, raspberry, whisper, laugh, and cry vocalizations obtained from archived video/audio recordings of 10 infants from 4 through 12 months of age. A list of commonly used terms was generated based on listener responses and the standard research terminology. A 2nd group of listeners was presented with the same vocalizations and asked to select terms from the list that they thought best described the sounds. Results Classifications of the vocalizations by listeners largely overlapped with published categorical descriptors and yielded additional insight into alternate terms commonly used. The biggest discrepancies were found for the vowel category. Conclusion Prior research has shown that caregivers are accurate in identifying canonical babbling, a major prelinguistic vocalization milestone occurring at about 6–7 months of age. This indicates that caregivers are also well attuned to even earlier emerging vocalization types. This supports the value of continuing basic and clinical research on the vocal types infants produce in the 1st months of life and on their potential diagnostic utility, and may also help improve communication between speech-language pathologists and families.


2003 ◽  
Vol 18 (1) ◽  
pp. 78-89 ◽  
Author(s):  
Lars Östlund ◽  
Tysk Staffan Ericsson ◽  
Olle Zackrisson ◽  
Rikard Andersson

1981 ◽  
Vol 26 (3) ◽  
pp. 218-219
Author(s):  
Alfred L. Baldwin
Keyword(s):  

1978 ◽  
Vol 16 (1) ◽  
pp. 47 ◽  
Author(s):  
Joung Soon Kim
Keyword(s):  

2014 ◽  
Author(s):  
Carlen Reyes ◽  
M Kassim Javaid ◽  
Cyrus Cooper ◽  
Adolfo Diez-Perez ◽  
Daniel Prieto-Alhambra

2018 ◽  
Vol 5 (3) ◽  
pp. 145-154
Author(s):  
M. Yu. Rykov ◽  
I. N. Inozemtsev ◽  
S. A. Kolomenskaya

Background.Analysis of medical care delivery for children with cancer in armed conflict is highly important because the high-tech treatment in this context is extraordinary difficult and challenging task. Objective. Our aim was to analyze the morbidity and mortality rates in children with malignant tumors, to assess the pediatric patient capacity and medical service density in the Donetsk People’s Republic.Methods.The ecological study was conducted where the units of analysis were represented by the aggregated data of the Republican Cancer Registry on the number of primary and secondary patients with malignant and benign tumors, the deceased patients in the DNR in 2014–2017, pediatric patient capacity, and medical service density.Results.The number of pediatric patient capacity for children with cancer was 10 (0.27 per 10,000 children aged 0–17), pediatric patient capacity for children with hematological disorders — 40 (1.37 per 10,000 children aged 0–17). The treatment of children with cancer was performed by 5 healthcare providers: 1 pediatric oncologist (0.02 per 10,000 children aged 0–17), 3 hematologists (0.08 per 10,000 pediatric population aged 0–17), and 1 practitioner who did not have a specialist certificate in oncology. Morbidity rate for malignant neoplasms from 2014 to 2017 decreased by 25% (in 2014 — 9.6 per 10,000 children aged 0–17; in 2017 — 7.2). In the morbidity structure, the incidence proportion of hemoblastoses was 68.4%, brain tumors — 2.6%, other solid tumors — 29%. The death rate due to malignant neoplasms decreased by 37% (in 2014 — 2.7; in 2017 — 1.7).Conclusion.Low levels of the incidence rate and pattern of morbidity indicate defects in the identification and recording of patients. This explains the performance of the bed: low average bed occupancy per year and low turnover. For a reliable analysis of mortality statistical data is not available: in 2014–2015 only the number of in-hospital deceased patients is presented. Limited data is due to the lack of reliable patient catamnesis which is explained by the high rate of population migration. 


Sign in / Sign up

Export Citation Format

Share Document