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Background: Systematically recorded smoking data are not always available in vital statistics records, and even when available it can underestimate true smoking rates. Objective: To develop a prediction model for maternal tobacco smoking in late pregnancy based on birth certificate information using a combination of self‐ or provider‐reported smoking and biomarkers (smoking metabolites) in neonatal blood spots as the alloyed gold standard. Methods: We designed a case–control study where childhood cancer cases were identified from the California Cancer Registry and controls were from the California birth rolls between 1983 and 2011 who were cancer‐free by the age of six. In this analysis, we included 894 control participants and performed high‐resolution metabolomics analyses in their neonatal dried blood spots, where we extracted cotinine [mass‐to‐charge ratio (m/z) = 177.1023] and hydroxycotinine (m/z = 193.0973). Potential predictors of smoking were selected from California birth certificates. Logistic regression with stepwise backward selection was used to build a prediction model. Model performance was evaluated in a training sample, a bootstrapped sample, and an external validation sample. Results: Out of seven predictor variables entered into the logistic model, five were selected by the stepwise procedure: maternal race/ethnicity, maternal education, child's birth year, parity, and child's birth weight. We calculated an overall discrimination accuracy of 0.72 and an area under the receiver operating characteristic curve (AUC) of 0.81 (95% confidence interval [CI] 0.77, 0.84) in the training set. Similar accuracies were achieved in the internal (AUC 0.81, 95% CI 0.77, 0.84) and external (AUC 0.69, 95% CI 0.64, 0.74) validation sets. Conclusions: This easy‐to‐apply model may benefit future birth registry‐based studies when there is missing maternal smoking information; however, some smoking status misclassification remains a concern when only variables from the birth certificate are used to predict maternal smoking. [ABSTRACT FROM AUTHOR]

Background: Nitrosatable drugs can be synthesized to N‐nitroso compounds in human stomach. In a pregnant woman, N‐nitroso compounds can be translocated to the fetus through the placenta. Maternal exposure of nitrosatable compounds during pregnancy has been associated with childhood brain tumors and leukemia. However, few studies have investigated an association between nitrosatable drug exposure during pregnancy and childhood cancer. We examined if maternal prescriptions of nitrosatable drugs received during pregnancy are associated with childhood cancer. Methods: A matched case‐control study was conducted using Danish nationwide registry data from 1995 to 2016. Each childhood cancer case was matched with twenty‐five controls. Maternal exposure of nitrosatable drugs during pregnancy was identified from the Danish National Prescription Register. A multivariable conditional logistic regression model was used to estimate adjusted odds ratios (adj.OR) with 95% confidence intervals (CI) for each childhood cancer type. Results: Maternal prescriptions of nitrosatable drugs positively associate with central nervous system tumors (adj.OR = 1.25; 95% CI = 1.04–1.51) and neuroblastoma (adj.OR = 1.96; 95% CI = 1.34–2.85) in offspring. We also observed a positive association between perinatal exposure of nitrosatable drugs and acute lymphoblastic leukemia (adj.OR = 1.31; 95% CI = 1.07–1.59), however, it appeared to be due to confounding by indication, i.e., maternal infections. Conclusion: Nitrosatable drug use during pregnancy potentially increased risk of central nervous system tumors and neuroblastoma. While a positive association between maternal prescriptions of nitrosatable drugs and acute lymphoblastic leukemia should be interpreted cautiously because of confounding by indication. [ABSTRACT FROM AUTHOR]

With the advancements in wireless sensor networks and the Internet of Underwater Things (IoUT), underwater acoustic sensor networks (UASNs) have attracted much attention, which has also been widely used in marine engineering exploration and disaster prevention. However, UASNs still face many challenges, including high propagation latency, limited bandwidth, high energy consumption, and unreliable transmission, influencing the good quality of service (QoS). In this paper, we propose a routing protocol based on the on-site architecture (SROA) for UASNs to improve network scalability and energy efficiency. The on-site architecture adopted by SROA is different from most architectures in that the data center is deployed underwater, which makes the sink nodes closer to the data source. A clustering method is introduced in SROA, which makes the network adapt to the changes in the network scale and avoid single-point failure. Moreover, the Q-learning algorithm is applied to seek optimal routing policies, in which the characteristics of underwater acoustic communication such as residual energy, end-to-end delay, and link quality are considered jointly when constructing the reward function. Furthermore, the reduction of packet retransmissions and collisions is advocated using a waiting mechanism developed from opportunistic routing (OR). The SROA realizes opportunistic routing to choose candidate nodes and coordinate packet forwarding among candidate nodes. The scalability of the proposed routing protocols is also analyzed by varying the network size and transmission range. According to the evaluation results, with the network scale ranging from 100 to 500, the SROA outperforms the existing routing protocols, extensively decreasing energy consumption and end-to-end delay. [ABSTRACT FROM AUTHOR]

Background: The effect of maternal diabetes on childhood cancer has not been widely studied.Methods: We examined this in two population-based studies in Denmark (N = 6420 cancer cases, 160,484 controls) and Taiwan (N = 2160 cancer cases, 2,076,877 non-cases) using logistic regression and Cox proportional hazard regression adjusted for birth year, child's sex, maternal age and birth order.Results: Gestational diabetes in Denmark [odds ratio (OR) = 0.98, 95% confidence interval (CI): 0.71-1.35] or type II and gestational diabetes in Taiwan (type II: hazard ratio (HR) = 0.81, 95% CI: 0.63-1.05; gestational diabetes: HR = 1.06, 95% CI: 0.92-1.22) were not associated with cancer (all types combined). In Denmark, maternal type I diabetes was associated with the risk of glioma (OR = 2.33, 95% CI: 1.04-5.22), while in Taiwan, the risks of glioma (HR = 1.59, 95% CI: 1.01-2.50) were elevated among children whose mothers had gestational diabetes. There was a twofold increased risk for hepatoblastoma with maternal type II diabetes (HR = 2.02, 95% CI: 1.02-4.00).Conclusions: Our results suggest that maternal diabetes is an important risk factor for certain types of childhood cancers, emphasising the need for effective interventions targeting maternal diabetes to prevent serious health effects in offspring. [ABSTRACT FROM AUTHOR]

Background: Although viral hepatitis causes paediatric hepatocellular carcinoma and hepatic and extrahepatic cancers in adults, there are few epidemiologic studies on paediatric-cancer risks from parental viral hepatitis. In a nationwide study in a viral hepatitis endemic region and with confirmation in another population-based sample, we examined associations between parental hepatitis B (HBV) and C (HCV) infections and risks of cancers in offspring.Methods: We included all children born in Taiwan in 2004-2014 (N = 2 079 037) with 2160 cancer cases ascertained from the Cancer Registry. We estimated risks for paediatric cancers using Cox proportional-hazard regressions. We checked these associations in a nationwide case-control study in Denmark (6422 cases, 160 522 controls).Results: In Taiwan, paternal HBV was related to child's hepatoblastoma [hazard ratio (HR) = 1.77, 95% confidence interval (CI) = 1.05, 2.97] when identified at any time in the medical record, and when analyses were limited to hepatitis diagnoses occurring before the child's birth, risks increased (HR = 2.08, 95% CI = 1.13-3.80). Paternal HCV was related to child's non-Hodgkin lymphoma (HR = 2.06, 95% CI = 1.13-3.74). Maternal HCV was weakly related to increased risks of all childhood cancers [all types combined; HR = 1.45, 95% CI = 0.95-2.22]. The population-attributable fraction of hepatoblastoma for maternal, paternal and child HBV was 2.6%, 6.8% and 2.8%, respectively.Conclusions: Parental HBV and HCV may be risk factors for hepatic and non-hepatic cancers in children. If associations are causal, then parental screening and treatment with antivirals may prevent some paediatric cancers. [ABSTRACT FROM AUTHOR]

Research has shown that the pregnancies of children who later developed cancer have a higher incidence of complications including some that may also increase the likelihood of hyperbilirubinemia and need for phototherapy. Also, after Auger's approach, we restricted analyses to children whose cancer diagnosis occurred at least 2 months after the first diagnosis of hyperbilirubinemia or procedure code for phototherapy. Risk for cancer among children born between 1977 and 2013 who were either diagnosed with neonatal jaundice or hyperbilirubinemia or who were treated with phototherapy, limiting to cancer cases diagnosed between ages 4-11 (n = 2,013 cases, 195,877 controls). [Extracted from the article]

Objectives. To assess cohort effects in prescription opioid and heroin overdose mortality in the United States. Methods. Using the National Center for Health Statistics' multiple-cause-of-death file for 1999 to 2014, we performed an age-period-cohort analysis of drug overdose mortality in the United States. Results. Compared with those born in 1977 and 1978, individuals born between 1947 and 1964 experienced excess risks of prescription opioid overdose death (e.g., for the 1955-1956 birth cohort, rate ratio [RR] = 1.27; 95% confidence interval [CI] = 1.09, 1.48) and of heroin overdose death (e.g., for the 1953-1954 birth cohort, RR = 1.32; 95% CI = 1.11, 1.57). Those born between 1979 and 1992 also experienced an increased risk of heroin overdose death (e.g., for the 1989-1990 birth cohort, RR = 1.23; 95% CI = 1.01, 1.50). The cohort effects were consistent between sexes. Conclusions. Individuals born between 1947 and 1964 and between 1979 and 1992 are particularly afflicted by the opioid epidemic. Intervention programs are needed to reduce the excess overdose mortality in these specific demographic groups. [ABSTRACT FROM AUTHOR]

The reaction kinetics of the mesoporous powder, MCM-TP, anchored with synergistic extractant TOPO-P204, with Pd2+ in spent fuels have been investigated. The results showed that the reaction rate was independent of pellet size, which suggested that the powder pellet was highly porous and was composed of plate-like “grains”. This analysis was confirmed by observing the surface and cross section of the pellet with SEM. It provided the physical basis for establishing the liquid-solid reaction model of mesoporous powders: P-G* model. The calculated curves from the model were in good agreement with the experimental results. [ABSTRACT FROM AUTHOR]