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Previous experience often guides people's decision-making. How the corresponding consecutive outcomes in the gain-loss frame modulate feedback evaluation in dynamic situations remains unclear. In this study, we used event-related potentials (ERPs) with a Balloon Analogue Risk Task (BART) to investigate the effect of the consistency with previous feedback on current choices under the gain-loss frame and the neural mechanism by coding ERP signals evoked by consecutive outcomes among adults (N = 42). Results indicated that the framing effect on feedback-related negativity (FRN) amplitudes following current feedback in decision-making was insensitive to prior feedback. In contrast, the P300 amplitudes following two inconsistent consecutive rounds of feedback were greater than that following two consistent consecutive rounds of feedback in the gain frame, while this effect was absent in the loss frame, revealing a more significant valance-framing effect. These findings demonstrate that two inconsistent rounds of feedback enhance the framing effect, and suggest that the framing effect is sensitive to prior feedback in a late cognitive appraisal stage in decision-making under uncertainty, rather than in an early feedback processing stage. The present study provides novel insights into how consecutive outcomes in the gain-loss frame modulate feedback evaluation in dynamic situations.

Recently, several studies have found a recognition advantage for facial expressions, particularly angry expressions, when they appear on high-status faces rather than low-status faces. In the present study, we used event-related potentials (ERPs) to explore the influence of social status on the neural responses to others' facial expressions in a context of performance monitoring. Specifically, we used an interactive rank-inducing task (i.e., time estimation task) to manipulate social partners' status (high versus low) and then told participants that they would receive social feedback (i.e., happy, neutral, or angry) from social partners with high or low status after completing the task. ERP results revealed the preferential processing of high-status targets at both early (P1/N170/FRN) and late (P3) temporal stages of facial expression processing. Notably, larger FRN amplitudes elicited by feedback from high-status partners were observed in happy, neutral, and angry expression contexts, whereas larger P3 amplitudes elicited by feedback from high-status partners were only evident in both neutral and angry expression contexts but not in happy expression context. Together, the present study extended previous studies by showing that the perception of facial expressions could be modulated by target status at multiple stages.

The framing effect refers to the phenomenon that different descriptions of the same option lead to a shift in the choice of the decision maker. Several studies have found that emotional contexts irrelevant to a decision in progress still influence the framing effect on decision making. However, little is known about the potential role of emotional contexts in the framing effect on outcome evaluation under uncertainty and the related neural mechanisms. The present study measured event-related potentials (ERPs) to capture the time series of brain activities during the processing of gain- and loss-framed choices and outcomes primed with neutral and negative emotional contexts. The results revealed that in the neutral emotional context, the P300 amplitudes following both positive and negative feedback were greater in the gain-framed condition than those in the loss-framed condition, demonstrating a framing effect, whereas in the negative emotional context, this effect was unstable and observed only following negative feedback. In contrast, regardless of whether the feedback was positive or negative, the framing effect on the feedback-related negativity (FRN) amplitudes was insensitive to neutral and negative emotional contexts. Furthermore, the time-frequency analysis showed that the framing effect on the theta power related to the FRN was also insensitive to neutral and negative emotional contexts. Our findings suggest that brain responses to framing effects on outcome evaluation in a later cognitive appraisal stage of decision making under uncertainty may depend on the emotional context, as the effects were observed only following negative feedback in the negative emotional context.

Cobalt is an essential trace element and has been suggested to be involved in oxidative stress and inflammatory responses. However, researches have paid little attention to the association between serum cobalt levels during pregnancy and the risk of preterm birth (PTB

With the help of event-related potentials (ERPs), the present study used an oddball paradigm to investigate how both individual and target power modulate neural responses to angry expressions. Specifically, participants were assigned into a high-power or low-power condition. Then, they were asked to detect a deviant angry expression from a high-power or low-power target among a series of neutral expressions, while behavioral responses and electroencephalogram (EEG) were recorded. The behavioral results showed that high-power individuals responded faster to detect angry expressions than low-power individuals. The ERP analysis showed that high-power individuals showed larger P3 amplitudes in response to angry expressions than low-power individuals did. Target power increased the amplitudes of the P1, VPP, N3, and P3 in response to angry expressions did, but decreased the amplitudes of the N1 and N170 in response to angry expressions. The present study extended previous studies by showing that having more power could enhance individuals’ neural responses to angry expressions in the late-stage processes, and individuals could show stronger neural responses to angry expressions from high-power persons in both the early‐ and late-stage processes.

Gestational diabetes mellitus (GDM) is a common obstetric complication with adverse effects on both mothers and their children. Previous studies revealed the link between Arsenic (As) exposure and incidence of diabetes mellitus (DM), but the data on the association between maternal As exposure and GDM is scarce. We examined this association among a population-based birth cohort. As concentrations were determined at multiple time points during pregnancy by ICP-MS. The association between As levels and GDM prevalence was examined using logistic regression model after adjustment for confounders. A total of 419 (12.85%) women were diagnosed with GDM. The incidences of GDM gradually increased with increasing quartiles of As levels with significant trend. As levels were associated with the GDM (95%CI: 1.29-2.43) at only the 4th quartile in the first trimester. After adjustment for maternal age, prepregnancy body mass index (BMI), monthly income, gestational age and parity, the association remains significant (95%CI: 1.22-2.38). Stratified analyses showed the associations were largely limited to normal maternal age (95%CI: 1.19-3.04) and normal weight women (95%CI: 1.18-2.66). Our study showed an association between As and GDM in a birth cohort and explored first trimester may be the critical period for As associated GDM. This association was universal in the general pregnant population of normal age and of normal weight.

Cobalt (Co) is an essential trace element and has been suggested to be involved in blood pressure regulation, but few studies have focused on serum Co status during pregnancy and the risks of pregnancy-induced hypertension syndrome (PIH). The aim of this study was to prospectively assess the association between serum Co levels during pregnancy and the risks of PIH, and to explore how the maternal Co status contributes to the incidence of PIH. 3260 non-hypertensive women before pregnancy with singleton births in Ma'anShan birth cohort study (MABC) were recruited with the assessment of maternal Co concentrations, additionally, the levels of 7 inflammatory factors and 3 stress factors in placentas were also determined. Relative risks (RRs) [95% confidence intervals (CIs)] for the risks of PIH were assessed and the relationships between 10 factors and maternal Co status during pregnancy were evaluated as well. A total of 194 (5.95%) women were diagnosed with PIH. The concentrations of Co varied from the first trimester to the second trimester, and maternal serum Co concentrations during pregnancy were negatively associated with the incidence of PIH in a linear fashion. There was a clear trend in RRs according to decreasing exposure to Co levels in the second trimester (RRa=1.80, 95% CI (1.26, 2.56); RRb=1.73, 95% CI (1.21, 2.46) and RRc=1.43, 95% CI (1.02, 2.04) when low Co levels comparing with high Co levels before and after adjustment for confounders; and RRa=1.29, 95% CI (0.88, 1.88); RRb=1.28, 95% CI (0.87, 1.87) and RRc=1.25, 95% CI (0.86, 1.82) when medium Co levels comparing with high Co levels before and after adjustment for confounders). In addition, the trend for the first trimester was nearly identifical to those for the second trimester (RRa=1.35, 95% CI (0.94, 1.93); RRb=1.33, 95% CI (0.93, 1.91); RRc=1.22, 95%CI (0.86, 1.73) when low Co levels comparing with high Co levels before and after adjustment for confounders; and RRa=1.10, 95% CI (0.76, 1.60); RRb=1.13, 95% CI (0.77, 1.64) and RRc=1.12, 95% CI (0.77, 1.63) before and after adjustment for confounders). Interestingly, Co concentrations in the second trimester were also inversely associated with the levels of some inflammatory factors and all three stress factors in placentas. This prospective study suggested that lower maternal serum Co concentration in the second trimester may associate with the incidence of PIH in Chinese population. Additionally, the maternal Co concentrations in the second trimester could reduce inflammatory and oxidative damage to the placenta. Further evidence is needed to support the findings and assess the mechanisms underlying the association.

The relationship between prenatal arsenic exposure at low levels and poor development in children, especially in regard to neurodevelopment, has aroused several concerns, but the conclusions have been inconsistent. It still remains unclear whether such adverse effect is associated with a specific profile of the developing brain in early life. To investigate the association between arsenic exposure in utero and children’s development and behaviour, we performed a large prospective birth cohort study including 2315 mother-infant pairs in Anhui Province, China. The Ages and Stages Questionnaire of China (ASQ-C) was used to assess the status of children’s development and behaviour at 6 months postpartum, and the levels of arsenic were determined in umbilical cord serum samples. Odds ratios for suspected developmental delay (SDD) in each domain of the ASQ-C clusters were estimated using logistic regression models. Compared with low arsenic levels group, medium and high arsenic levels were significantly associated with the increased risks of SDD in the personal-social domain among infants aged 6 months after adjustment for all potential confounders (OR = 1.33, 95% CI (1.01, 1.75) and OR = 1.47, 95% CI (1.08, 2.00), respectively). Sex stratification analysis demonstrated that this association was stronger in females. The sensitivity analyses also showed that high cord serum arsenic levels were associated with a 1.80-fold (95% CIs (1.12, 2.90)) higher risk of a more severe developmental delay in the personal-social domain among six-month-old females. Our results suggest that low-level arsenic exposure in utero could have an adverse domain-specific effect on children’s development at 6 months of age, particularly among females. Further studies are warranted to support the findings and explore the mechanism of these domain-and sex-specific associations. Keywords: Arsenic, Umbilical cord serum, Development, Prenatal exposure, Infants, China

Deep learning has yielded state-of-the-art performance on text classification tasks. In this paper, a new neural network based on Long-Short-Term-Memory model is applied to classify spam emails. Using deep learning method to classify spam emails requires large amounts of labeled data. To solve this problem, active learning method is used to reduce labeling cost and increase model adaptability. In this paper, it is found that the new model performs better than standard CNNs and RNNs on email classification task, and active learning methods can match state-of-the-art performance with just 10% of the labeled data.

ObjectiveThe purpose of the present study was to examine the influence of maternal pre-pregnancy BMI and gestational weight gain (GWG) on initiation and duration of infant breast-feeding in a prospective birth cohort study.DesignBreast-feeding information was collected at 1, 3, 6 and 12 months postpartum. The association of pre-pregnancy BMI and GWG with delayed lactogenesis II and termination of exclusive breast-feeding was assessed with logistic regression analysis. The risk of early termination of any breast-feeding during the first year postpartum was assessed with Cox proportional hazards models.SettingUrban city in China.SubjectsWomen with infants from the Ma’anshan Birth Cohort Study (n 3196).ResultsThe median duration of any breast-feeding in this cohort was 7·0 months. Pre-pregnancy obese women had higher risks of delayed lactogenesis II (risk ratio=1·89; 95 % CI 1·04, 3·43) and early termination of any breast-feeding (hazard ratio=1·38; 95 % CI 1·09, 1·75) adjusted for potential maternal and infant confounders, when compared with normal-weight women. No differences in breast-feeding initiation or duration of exclusive breast-feeding according to pre-pregnancy BMI were found. Moreover, GWG was not associated with any poor breast-feeding outcomes.ConclusionsThe present study indicated that pre-pregnancy obesity increases the risks of delayed lactogenesis II and early termination of any breast-feeding in Chinese women.

Our study aimed to assess the distribution of copper (Cu) in umbilical cord serum and estimated the association between umbilical serum Cu status and neonatal birth outcomes in a Chinese population. Through the Ma'anShan Birth Cohort Study, 2689 maternal-singleton pairs with detailed birth records and available serum samples were identified. The tertile levels of ln-transformed Cu were used to define low, medium, and high levels for serum Cu. The median for umbilical cord serum Cu was 298.2 μg/L with a range of 123.1-699.6 μg/L in this study population. Our study found a positive association between the concentration of serum Cu in the umbilical cord and the duration of gestation. Compared with medium Cu levels, we found that infants with low Cu levels had a significant higher risk of preterm birth (OR = 5.06, 95% CI 2.74, 9.34) and early-term birth (OR = 1.36, 95% CI 1.10, 1.69) in the crude model. We also found that infants with high Cu levels had a significant higher risk of late- or post-term birth (OR = 1.47, 95% CI 1.11, 1.95). A significant higher risk of preterm, early-term, and late- or post-term birth still remained, even after adjustment for potential confounding factors. Our findings suggested that both Cu deficiency and Cu overload had an adverse effect on neonatal birth outcomes.

Analyzing the concentrations of heavy metals in the sera of umbilical cord blood samples can provide useful information about prenatal exposure to environmental agents. An analytical method based on ICP-MS to simultaneously determine multiple elements in umbilical cord blood samples was developed for assessing the in utero exposure to metallic and metalloid elements. The method only required as little as 100 μL of serum diluted 1:25 for direct analysis. Matrix-matched protocol was used to eliminate mass matrix interference and kinetic energy discrimination mode was used to eliminate the polyatomic ion interference. The assay was completed on average within 4 min with the detection limits ranging from 0.0002 to 44.4 μg/L for all the targeted elements. The detection rates for most of elements were 100 % other than cadmium (Cd), lead (Pb), and mercury (Hg). The testing results of the certified reference materials were ideal. The method is simple and sensitive, so it is suitable for the monitoring of large quantities of samples.