Division of labor is one of the most striking features in the evolution of eusociality. Juvenile hormone (JH) mediates reproductive status and aggression among nestmates in primitively eusocial Hymenoptera (species without morphologically distinct castes). In highly social species it has apparently lost its gonadotropic role and primarily regulates the division of labor in the worker caste. Polybia occidentalis, a Neotropical swarm-founding wasp, is an ideal model to understand how JH levels mirror social context and reproductive opportunities because of the absence of a clear morphological caste dimorphism. In this study, we tested the hypothesis that JH influences division of labor, ovary activation and cuticular hydrocarbon profiles of workers. Our observations confirmed that a JH analog (methoprene) and an inhibitor of JH biosynthesis (precocene) affected the cuticular chemical profile associated with age polyethism. Also, methoprene and precocene-I treatment of females influenced ovarian activation differently (individuals treated with methoprene expressed more activated ovaries while precocene treatment did not have significant effect). These results suggest that different hormonal levels induce a differential expression of cuticular chemicals associated with workers' age polyethism, which may be essential for keeping the social cohesion among workers throughout their lives in the colony. Furthermore, JH is likely to play a gonadotropic role in P. occidentalis. JH has apparently undergone certain modifications in social Hymenoptera, presenting multifaceted functions in different species.Radiation doses from paediatric cardiac catheterizations were analysed based on procedure type and patient weight, and local diagnostic reference levels (LDRLs) were proposed. The procedures were performed on a Siemens Artis Q.zen biplane system with high-sensitivity detectors allowing low-dose imaging. Good radiological practice, e.g. adapting dose level and frame rate continuously and minimizing the x-ray field with collimators, was routine during procedures. The median total dose-area-product (DAP) value was 58 μGym2 for diagnostic catheterizations, 48 μGym2 for interventional catheterizations and 33 μGym2 for myocardial biopsies. The median DAP per body weight was 4.0 μGym2 kg-1. The median total fluoroscopy time varied from 6.0 min for myocardial biopsies, to 9.7 and 10.5 min, respectively, for diagnostic and interventional catheterizations. The third quartile of the DAP values in each weight group was proposed as LDRL. LDRLs for fluoroscopy time were determined solely based on procedure type, due to the absence of weight dependence.
  Survivors of childhood encephalitis often suffer from physical and neurocognitive sequelae, particularly in tropical, resource-limited areas with a large burden of arboviral, neurotropic pathogens and limited resources with which to address chronic morbidities. Research into overall and pathogen-specific outcomes following childhood encephalitis may help identify risk factors for poor outcomes, quantify the burden of sequelae, assist with resource allocation and help focus rehabilitative efforts. However, such research is limited. To this end, we systematically reviewed the literature on this topic to identify gaps in knowledge worthy of future investigation.
 
  A search of PubMed, Web of Knowledge and the Cochrane databases was performed 10 January through 20 February 2020, using 17 search terms for sequelae and 14 for tropical, arboviral pathogens. Eligible reports demonstrated post-discharge follow-up of ≥3 months and assessment of clinical outcome in a child with an arboviral encephalitis ≤18 years of agcovering from tropical, arboviral encephalitis at least 3 months following hospital discharge. Poor outcomes were common and found in up to 60% of children. Long-term and serial follow-up visits were rare, as was the use of comprehensive neurocognitive testing. No studies assessed the efficacy of rehabilitative measures. Further study into these areas is recommended.The goal of patient-specific treatment of diseases requires a connection between clinical observations with models that are able to accurately predict the disease progression. Even when realistic models are available, it is very difficult to parameterize them and often parameter estimates that are made using early time course data prove to be highly inaccurate. Inaccuracies can cause different predictions, especially when the progression depends sensitively on the parameters. In this study, we apply a Bayesian data assimilation method, where the data are incorporated sequentially, to a model of the autoimmune disease alopecia areata that is characterized by distinct spatial patterns of hair loss.  https://www.selleckchem.com/products/AZD0530.html  Using synthetic data as simulated clinical observations, we show that our method is relatively robust with respect to variations in parameter estimates. Moreover, we compare convergence rates for parameters with different sensitivities, varying observational times and varying levels of noise. We find that this method works better for sparse observations, sensitive parameters and noisy observations. Taken together, we find that our data assimilation, in conjunction with our biologically inspired model, provides directions for individualized diagnosis and treatments.
  Understanding antimicrobial consumption is essential to mitigate the development of antimicrobial resistance, yet robust data in children are sparse and methodologically limited. Electronic prescribing systems provide an important opportunity to analyse and report antimicrobial consumption in detail.
 
  We investigated the value of electronic prescribing data from a tertiary children's hospital to report temporal trends in antimicrobial consumption in hospitalized children and compare commonly used metrics of antimicrobial consumption.
 
  Daily measures of antimicrobial consumption [days of therapy (DOT) and DDDs] were derived from the electronic prescribing system between 2010 and 2018. Autoregressive moving-average models were used to infer trends and the estimates were compared with simulated point prevalence surveys (PPSs).
 
  More than 1.3 million antimicrobial administrations were analysed. There was significant daily and seasonal variation in overall consumption, which reduced annually by 1.77% (95% CI 0.