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In the Southeast USA, major contributors to estuarine soundscapes are the courtship calls produced by fish species belonging to the family Sciaenidae. Long-term monitoring of sciaenid courtship sounds may be valuable in understanding reproductive phenology, but this approach produces massive acoustic datasets. With this in mind, we designed a feature-based, signal detector for sciaenid fish calls and tested the efficacy of this detector against manually reviewed data. Acoustic recorders were deployed to collect sound samples for 2 min every 20 min at four stations in the May River estuary, South Carolina, USA from February to November, 2014. Manual analysis of acoustic files revealed that four fish species, belonging to the family Sciaenidae, were the major sound producers in this estuarine soundscape, and included black drum (Pogonias cromis), silver perch (Bairdiella chrysoura), spotted seatrout (Cynoscion nebulosus), and red drum (Sciaenops ocellatus). Recorded calls served as an acoustic library of signature features that were used to create a signal detector to automatically detect, classify, and quantify the number of calls in each acoustic file. Correlation between manual and automatic detection was significant and precision varied from 61% to 100%. Automatic detection provided quantitative data on calling rates for this long-term data set. Positive temperature anomalies increased calling rates of black drum, silver perch, and spotted seatrout, while negative anomalies increased calling rates of red drum. Acoustic monitoring combined with automatic detection could be an additional or alternative method for monitoring sciaenid spawning and changes in phenology associated with climate change. [ABSTRACT FROM AUTHOR]

The aim of this work is to determine periodontal disease's prevalence in preterm delivery (before 37 weeks of gestation) and find a significant association between preterm birth and periodontal diseases. Periodontal status was determined. Status and severity were noted and correlated to term of delivery. Fifty-two patients were included in the study. Periodontal disease's prevalence was 33% for gingivitis and 44% for periodontitis. No significant correlation was found (P=0.41). Periodontal disease's prevalence is agreed with literature review. The different opinion are largely discussed. Methodological harmonization of periodontal definitions is needed to increase study's power., (Copyright © 2011 Elsevier Masson SAS. All rights reserved.)