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1.
J Acoust Soc Am ; 152(1): 429, 2022 07.
Article in English | MEDLINE | ID: mdl-35931508

ABSTRACT

The male and female southern black drum possess highly specialized, bilateral, striated sonic muscles used in sound production during courtship by males and in the production of disturbance calls by both males and females. Androgen-driven hypertrophy of the sonic muscles in males during the late spring spawning period results in increased growth of sonic muscle mass followed by post-spawning atrophy of sonic muscles. We examined changes in sonic muscle morphology and in the sound characteristics of males and females underlying seasonal changes in sonic muscle mass and muscle contraction as measured by sound production. In males, the sound pressure level increased while sound pulse duration decreased with increasing sonic muscle mass, indicating that sonic muscle fibers contract with greater force and shorter duration during the spawning season. Interpulse interval and the total number of pulses varied seasonally with muscle mass, which suggests that the effects of steroids on male southern black drum sound characteristics are more pronounced peripherally than in the central nervous system. In females, no increase in sonic muscle mass was found, and therefore, a change was not observed in the acoustic variables analyzed. Seasonal sonic muscle hypertrophy in males likely functions as a secondary sexual characteristic that maximizes vocalization amplitude or loudness during the spawning period.


Subject(s)
Perciformes , Animals , Atrophy , Female , Hypertrophy , Male , Muscles , Perciformes/physiology , Sound , Vocalization, Animal/physiology
2.
Clin Case Rep ; 8(8): 1346-1348, 2020 Aug.
Article in English | MEDLINE | ID: mdl-32884750

ABSTRACT

Migraine-like associated with chest pain is an alarming association and forces us to rule out the presence of a secondary cause. That must be taken into account in the differential diagnosis of craniofacial hemicranial pain that appears in patients with no personal history of headache, and risk factors for the development of pulmonary neoplasia.

3.
J Environ Manage ; 93(1): 121-9, 2012 Jan.
Article in English | MEDLINE | ID: mdl-22054578

ABSTRACT

The coal mining region in northern Colombia is one of the largest open pit mining regions of the world. In 2009, there were 8 mining companies in operation with an approximate coal production of ∼70 Mtons/year. Since 2007, the Colombian air quality monitoring network has reported readings that exceed the daily and annual air quality standards for total suspended particulate (TSP) matter and particles with an equivalent aerodynamic diameter smaller than 10 µm (PM10) in nearby villages. This paper describes work carried out in order to establish an appropriate clean air program for this region, based on the Colombian national environmental authority requirement for modeling of TSP and PM(10) dispersion. A TSP and PM10 emission inventory was initially developed, and topographic and meteorological information for the region was collected and analyzed. Using this information, the dispersion of TSP was modeled in ISC3 and AERMOD using meteorological data collected by 3 local stations during 2008 and 2009. The results obtained were compared to actual values measured by the air quality monitoring network. High correlation coefficients (>0.73) were obtained, indicating that the models accurately described the main factors affecting particle dispersion in the region. The model was then used to forecast concentrations of particulate matter for 2010. Based on results from the model, areas within the modeling region were identified as highly, fairly, moderately and marginally polluted according to local regulations. Additionally, the contribution particulate matter to the pollution at each village was estimated. Using these predicted values, the Colombian environmental authority imposed new decontamination measures on the mining companies operating in the region. These measures included the relocation of three villages financed by the mine companies based on forecasted pollution levels.


Subject(s)
Air Pollution/analysis , Coal Mining , Environmental Monitoring/methods , Air Pollution/statistics & numerical data , Colombia , Linear Models , Meteorological Concepts , Particulate Matter/analysis
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