These results highlight the negative association between neonatal seizures and functional development.We report a preregistered study that was designed to answer three questions about using transparent defaults to increase participation in a hypothetical learning health care system. Do default options influence consent to participate in learning activities within a learning health care system? Does transparency about default options decrease the effect of the defaults? Do people reconsider their choice of participation once they are informed about the defaults applied? In our study, application of the defaults did not have influence on rates of consent, nor did transparency about defaults have an effect on the rates of consent. Participants were also not likely to change their choice after being informed that defaults were applied to their previous choice. In general, our study raises doubts that defaults (both covert and transparent) can be used as an effective means in significantly increasing participation in learning health care systems.The current study investigated how sad expressions during encoding affected recognition of facial identity in visual working memory (WM) and its electrophysiological correlates. Event-related potentials were obtained from 36 individuals during a delayed face discrimination task. The hit (correctly recognising studied faces) rates, correct rejection (CR correctly rejecting unstudied faces) rates, sensitivity d' (discrimination power of face identity recognition), and N170 (150-200 ms), the vertex positive potential (VPP; 150-200 ms), N250 (250-300 ms), P3b (350-450 ms), and late positive potential (LPP; 550-800 ms) amplitudes elicited by the neutral probe faces (previously encoded with sad and happy expressions) during hits and CR conditions were analysed. The participants showed lower hits and CRs and therefore had a lower discrimination power for facial identity preceded by sad expressions compared to happy expressions. For hits, neutral probe faces previously encoded with sad expressions exhibited increased N170, VPP, N250, P3b and LPP amplitudes compared to amplitudes following encoding with happy expressions. For correct rejections, the ERP effect of sad/happy expressions was absent. These results indicate that sad expressions during encoding attenuated the recognition of facial identity in visual WM. The reduced facial identity recognition for previously encoded sad expressions may be associated with increased early structural encoding, more late attention and perceptual resource engagement.For a wide range of biomedical approaches, an accurate estimate of the age of embryos or pups is important. Overnight mating is the method that is mostly used to establish timed pregnancies. The oestrus cycle in mice repeats every four to five days. So, not all females will get pregnant because they are not in oestrus. Therefore, the aim of this study was to analyse whether polygamous mating could increase the rate of timed pregnancies per breeding cage and female. We compared overnight timed mating regimes with up to four females per male, using C57BL/6 and BALB/c mice as well as F1 hybrids of these two strains. The number of vaginal plugs, number of females that gave birth and weaned litter (including size and weaning weight) were recorded. Our results showed that the plug and pregnancy rate decreased, but the productivity per breeding cage increased for polygamous mating regimes. The proportion of females with vaginal plugs and females that gave birth was significantly higher in monogamous mating. The proportion of plugged females that gave birth, as well as litter size and weaning weight, were not influenced by the mating regime. After analysing 513 breeding cages with a total of 1090 females, we found that polygamous mating with up to three females per male can increase the number of timed pregnancies. However, in the mating regime with more than three females, the rate of timed pregnancy as well as number of pups per female declined.This study used two theoretical perspectives-coercive power and gender norms-to examine how gender affects victims' decisions to report physical assaults to the police. The coercive power perspective attributes gender differences in reporting to sex-linked physical coercive power differences that affect the harm of the crime and victims' personal safety. The gender norm perspective attributes gender differences in reporting to specific gender norms that influence crime reporting decisions. Using a sample of 18,627 nonintimate partner physical assaults from the National Crime Victimization Survey (1993-2015), crime reporting models demonstrated significantly better fit when they included the interaction between the victim's gender and the offender's gender than when they included only the main effects. In the sample, (a) female victims were 21.9% more likely to report to the police when the offender was male (vs. female) and (b) male victims were 45.8% more likely to report to the police when the offender was female (vs. male). Victims' tendency to report an opposite-sex offender to the police was strongest in simple assaults and absent in aggravated assaults. We conclude that male and female victims' reporting behaviors were most consistent with gender norms that encourage the use of self-help violence and discourage police reporting in intragender assaults. Consistent with this explanation, self-help violence was negatively related to crime reporting in assaults. Victims were more likely to use self-help violence and avoid reporting to the police against a same-sex offender than an opposite-sex offender.  https://www.selleckchem.com/GSK-3.html  Finally, the offender's gender had a relatively stronger influence on assault victims' decisions to use self-help violence than on victims' decisions to take no action against the offender (i.e., not reporting to the police or using self-help violence).Recent biomarker innovations hold potential for transforming diagnosis, prognostic modeling, and precision therapeutic targeting of traumatic brain injury (TBI). However, many biomarkers, including brain imaging, genomics, and proteomics involve vast quantities of high-throughput and high-content data. Management, curation, analysis and evidence synthesis of these data are not trivial tasks. In this review we discuss data management concepts, and statistical and data sharing strategies when dealing with biomarker data in the context of TBI research. We propose that application of biomarkers involves three distinct steps-discovery, evaluation and evidence synthesis. First complex/big data has to be reduced to useful data elements at the stage of biomarker discovery. Second, inferential statistical approaches must be applied to these biomarker data elements for assessment of biomarker clinical utility and validity. Lastly, synthesis of relevant research is required to support practice guidelines and enable health decisions informed by the highest quality, up-to-date evidence available.