ABSTRACT. Automated recording units are increasingly being used to sample wildlife populations. These devices can produce large amounts of data that are difficult to process manually. However, the information in the recordings can be summarized with semiautomated sound recognition software. Our objective was to assess the utility of the semiautomated bird song recognizers to produce data useful for conservation and sustainable forest management applications. We compared detection data generated from expert-interpreted recordings of bird songs collected with automated recording units and data derived from a semiautomated recognition process. We recorded bird songs at 109 sites in boreal forest in 2013 and 2014 using automated recording units. We developed bird-song recognizers for 10 species using Song Scope software (Wildlife Acoustics) and each recognizer was used to scan a set of recordings that was also interpreted manually by an expert in birdsong identification. We used occupancy models to estimate the detection probability associated with each method. Based on these detection probability estimates we produced cumulative detection probability curves. In a second analysis we estimated detection probability of bird song recognizers using multiple 10-minute recordings for a single station and visit (35-63, 10-minute recordings in each of four one-week periods). Results show that the detection probability of most species from single 10-min recordings is substantially higher using expert-interpreted bird song recordings than using the song recognizer software. However, our results also indicate that detection probabilities for song recognizers can be significantly improved by using more than a single 10-minute recording, which can be easily done with little additional cost with the automate procedure. Based on these results we suggest that automated recording units and song recognizer software can be valuable tools to estimate detection probability and occupancy of boreal forest birds, when sampling for sufficiently long periods. Comparaison de la reconnaissance semi-automatisée de chants d'oiseaux avec des détections manuelles d'échantillons de chants d'oiseaux enregistrésRÉSUMÉ. Les unités d'enregistrement automatisé sont de plus en plus utilisées pour échantillonner les populations fauniques. Ces instruments peuvent produire une grande quantité de données qui s'avèrent difficiles à traiter manuellement. Toutefois, les informations contenues sur les enregistrements peuvent être résumées à l'aide de logiciels de reconnaissance vocale semi-automatisée. L'objectif de notre étude était d'évaluer l'utilité des reconnaisseurs de chants d'oiseaux semi-automatisés pour produire des données utiles à la conservation et à l'application de mesures d'aménagement forestier durable. Nous avons comparé les données de détection générées par les experts ayant écouté les enregistrements de chants d'oiseaux collectés au moyen d'unités d'enregistrement automatisé avec les données obtenues au moyen d'un processus de reconnaissance ...

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Objective: To examine the antenatal imaging features, intrapartum findings and early postpartum course of pregnancies with trisomy 21 (T21) at a tertiary hospital in the United Kingdom. Methods:Women with pregnancies diagnosed with T21 on antenatal or postmortem/postnatal karyotyping, from February 2010-2020. Outcome measures included antenatal imaging findings, fetal growth restriction (FGR), birthweight, mode of delivery and early neonatal outcomes.Results: 76 women were included. There were six intrauterine deaths and 70 livebirths. Thirty-eight (50%) had an antenatal diagnosis and twenty-five (33%) had a suspected diagnosis but declined further testing. The diagnosis was unanticipated in 13 (17%). Cardiac anomalies (35.5%) were the most common antenatal anomaly. Doppler abnormalities were apparent in 48/73 (68%). Eighteen (25.7%) had antenatal FGR. The majority were delivered by Caesarean section, and 21.4% of babies weighed

Control of human chorionic gonadotropin (hCG) synthesis during pregnancy is poorly understood, although in vitro data suggest a role for placental gonadotropin releasing hormone (GnRH) in its regulation. To study GnRH regulation during placental development, placental tissue of different gestational ages was analyzed for GnRH and beta hCG mRNA content. cRNA probes to exonic/intronic sequences of GnRH and beta hCG transcripts were constructed and used to perform solution hybridization/nuclease protection and in situ hybridization assays. The levels of GnRH mRNA were approximately 0.1-1% of that of beta hCG mRNA, in agreement with its suggested paracrine, rather than endocrine, role. While beta hCG mRNA content decreased significantly from first trimester to term (643 to 21.6 pg/microgram RNA), there was no significant change in GnRH mRNA (0.179 to 0.155 pg/microgram RNA). While beta hCG mRNA was localized almost exclusively in syncytiotrophoblasts, GnRH mRNA was present in all cell types of the placenta, including the stroma. In the course of performing sense-strand controls in the in situ hybridization, we noted that the placenta appeared to express more antisense GnRH than sense GnRH mRNA, again, in all cell types. Solution hybridization/nuclease protection analysis with exon 1 and exon 3 probes confirmed this observation, showing that there is two to three times more antisense GnRH RNA than sense GnRH mRNA. These studies suggest that GnRH gene expression and its role in regulating hCG production in human placenta is complex and does not fit a simple model for paracrine regulation of hCG.