In this research, we integrate attachment theory and dyadic methodology to examine how attachment anxiety and avoidance might interact with marital conflict to influence alcohol consumption, drinking motives, and alcohol-related problems in a sample of 280 married and cohabiting couples over 3 years. Both husband and wife attachment anxiety were related to higher levels of own drinking to cope and alcohol-related problems. Additionally, both husband and wife reports of marital conflict were associated with own alcohol-related problems. For wives, significant interactions between anxiety and marital conflict suggested that anxiety was more strongly associated with alcohol consumption, coping, and problems at higher levels of conflict. For husbands, significant interactions between avoidance and conflict indicated that avoidance was more strongly associated with coping and problems at lower levels of conflict. This research suggests two main patterns of attachment and alcohol use, both exacerbated by marital conflict and different for husbands and wives.Prior to Hurricane Maria, Puerto Rico already had 200+ hazardous waste sites, significant contamination of water resources, and among the highest rates of preterm birth in the US. To address these issues, the Puerto Rico Testsite for Exploring Contamination Threats (PROTECT) Center was formed in 2010 to investigate prenatal environmental exposures, particularly phthalates, and adverse birth outcomes. Recent work from the PROTECT study confirms that in utero exposure to certain phthalates is associated with shorter gestation and increased risk of preterm birth. However, previous research also suggests that pregnant women who experience a natural disaster such as Hurricane Maria are at higher risk of adverse birth outcomes, but it is unknown whether this is due to stress, hazardous exposures, or a combination of factors. Thus, the aim of this analysis was to characterize hurricane-related changes in phthalate exposures and experiences within the PROTECT cohort. Among 176 participants who were pregnant during or within 5 months after Maria, 122 completed a questionnaire on hurricane-related experiences. Questionnaire results and biomarkers of exposure suggest that participants did not have regular access to fresh foods and water during hurricane recovery, and almost half reported structural damage to their home. In addition, biomarker concentrations of phthalates commonly used in food packaging were higher among participants post-hurricane, while phthalates commonly used in personal care products were lower compared to pre-hurricane levels. Hurricane-related increases in phthalate exposure, as well as widespread structural damage, food and water shortages, and long-term absence of electricity and cell phone service, likely increased the risk of adverse birth outcomes among this already vulnerable population.The COVID-19 crisis has caused severe psychological distress. Governments have been trying to fight the outbreak, inter alia, by enacting various restrictions to maintain social distancing. However, compliance with restrictions depends upon different interpersonal variables.  https://www.selleckchem.com/products/Oridonin(Isodonol).html  The present study focused on the relationship between attachment patterns, fear of COVID-19, and adherence to COVID-19 guidelines. Participants completed the ECR measure to assess their adult attachment style, in addition to a COVID-19 fear and guidelines compliance questionnaire. We suggest that anxious attachment patterns may be related to heightened fear of COVID-19. Although fear and guideline adherence were positively correlated, secure attachment patterns were correlated to higher adherence than insecure attachment patterns.In this paper we investigate factorizations of polynomials over the ring of dual quaternions into linear factors. While earlier results assume that the norm polynomial is real ("motion polynomials"), we only require the absence of real polynomial factors in the primal part and factorizability of the norm polynomial over the dual numbers into monic quadratic factors. This obviously necessary condition is also sufficient for existence of factorizations. We present an algorithm to compute factorizations of these polynomials and use it for new constructions of mechanisms which cannot be obtained by existing factorization algorithms for motion polynomials. While they produce mechanisms with rotational or translational joints, our approach yields mechanisms consisting of "vertical Darboux joints". They exhibit mechanical deficiencies so that we explore ways to replace them by cylindrical joints while keeping the overall mechanism sufficiently constrained.The dynamics of the spread of epidemics, such as the recent outbreak of the SARS-CoV-2 virus, is highly nonlinear and therefore difficult to predict. As time evolves in the present pandemic, it appears more and more clearly that a clustered dynamics is a key element of the description. This means that the disease rapidly evolves within spatially localized networks, that diffuse and eventually create new clusters. We improve upon the simplest possible compartmental model, the SIR model, by adding an additional compartment associated with the clustered individuals. This sophistication is compatible with more advanced compartmental models and allows, at the lowest level of complexity, to leverage the well-mixedness assumption. The so-obtained SBIR model takes into account the effect of inhomogeneity on epidemic spreading, and compares satisfactorily with results on the pandemic propagation in a number of European countries, during and immediately after lock-down. Especially, the decay exponent of the number of new cases after the first peak of the epidemic is captured without the need to vary the coefficients of the model with time. We show that this decay exponent is directly determined by the diffusion of the ensemble of clustered individuals and can be related to a global reproduction number, that overrides the classical, local reproduction number.Cancer of the lungs and thyroid is particularly difficult to manage and treat. Notably, selpercatinib has recently been suggested as an effective drug to combat these diseases. The entire world is currently tackling the pandemic caused by the SARS-CoV-19 virus. Numerous pharmaceuticals have been evaluated for the management of the disease caused by SARS-CoV-19 (i.e., COVID-19). In this study, selpercatinib was proposed as a potential inhibitor of different SARS-CoV-19 proteins. Several intriguing effects of the molecule were found during the conducted computational investigations. Selpercatinib could effectively act as a proton sponge and exhibited high proton affinity in solution. Moreover, it was able to form complexes with metal ions in aqueous solutions. Specifically, the compound displayed high affinity towards zinc ions, which are important for the prevention of virus multiplication inside human cells. However, due to their charge, zinc ions are not able to pass the lipid bilayer and enter the cell. Thus, it was determined that selpercatinib could act as an ionophore, effectively transporting active zinc ions into cells.