The effect of different extreme weather events on attitudes toward climate change.

Can exposure to extreme weather change political opinion and preferences about climate change? There is a growing literature on both the effects of extreme weather events and the factors explaining attitudes toward global warming, though there remains no clear consensus about whether being exposed to extreme weather influences public opinion about climate change. We contribute to this literature by studying the impact of a variety of extreme weather events associated with climate variability, including severe storms, floods, fires, and hurricanes, on attitudes toward climate change. Specifically, we use a three-wave panel survey and a dynamic difference-in-differences design to analyze public opinion data at the individual level in the US. We find that exposure to only one extreme weather type-fires-has a small but significant effect on acknowledging the existence of climate change and supporting the need for action. However, that impact quickly vanishes, and other types of extreme weather do not appear to have any effect on opinion.

Development of beliefs about censorship.

Across four studies (total N = 431), we examined 5- to 10-year-old children's choices to censor depictions of harm. In all studies, children learned about (fictional) movies that depicted harmful behaviors and decided whether specific audiences should be allowed to watch those movies. In Study 1, children often censored depictions of harms and did so similarly when considering both themselves and another hypothetical child as the viewer. At the same time, children did not censor indiscriminately: Children censored depictions of intentional harms more than accidental harms and, in Study 2, children (and adults; N = 101) censored harms (especially intentional ones) more from younger versus older audiences. In Studies 3 and 4, we more directly tested children's motivations for censoring harms, examining dual potential motivations of 1) preventing viewers from feeling sad; and 2) preventing viewers from being inspired to engage in harmful behaviors. We found that children who were motivated to avoid inspiring harmful behaviors were especially likely to censor depictions of harmful intentions. Together, our results indicate that children make sophisticated decisions regarding censorship and underscore an early emerging motivation to disrupt cascades of harmful behavior. These findings hold implications for children's thinking about the psychological and behavioral consequences of harm and for children's thinking about the potential effects of media on themselves and others.

Pancreatic Ductal Carcinoma Risk Associated With Hereditary Cancer-Risk Genes.

BACKGROUND: Although several hereditary cancer predisposition genes have been implicated in pancreatic ductal adenocarcinoma (PDAC) susceptibility, gene-specific risks are not well defined and are potentially biased because of the design of previous studies. More precise and unbiased risk estimates can result in screening and prevention better tailored to genetic findings. METHODS: This is a retrospective analysis of 676 667 individuals, 2445 of whom had a personal diagnosis of PDAC, who received multigene panel testing between 2013 and 2020 from a single laboratory. Clinical data were obtained from test requisition forms. Multivariable logistic regression models determined the increased risk of PDAC because of pathogenic variants (PVs) in various genes as adjusted odds ratios (ORs) with 95% confidence intervals (CIs). Multivariable odds ratios were adjusted for age, personal and/or family cancer history, and ancestry. RESULTS: Overall, 11.1% of patients with PDAC had a PV. Statistically significantly elevated PDAC risk (2-sided P < .05) was observed for CDK2NA (p16INK4a) (OR = 8.69, 95% CI = 4.69 to 16.12), ATM (OR = 3.44, 95% CI = 2.58 to 4.60), MSH2 (OR = 3.17, 95% CI = 1.70 to 5.91), PALB2 (OR = 3.09, 95% CI = 2.02 to 4.74), BRCA2 (OR = 2.55, 95% CI = 1.99 to 3.27), and BRCA1 (OR = 1.62, 95% CI = 1.07 to 2.43). CONCLUSIONS: This study provides PDAC risk estimates for 6 genes commonly included in multigene panel testing for hereditary cancer risk. These estimates are lower than those from previous studies, possibly because of adjustment for family history, and support current recommendations for germline testing in all PDAC patients, regardless of a personal or family history of cancer.

Using MD Simulations To Calculate How Solvents Modulate Solubility.

Here, our interest is in predicting solubility in general, and we focus particularly on predicting how the solubility of particular solutes is modulated by the solvent environment. Solubility in general is extremely important, both for theoretical reasons - it provides an important probe of the balance between solute-solute and solute-solvent interactions - and for more practical reasons, such as how to control the solubility of a given solute via modulation of its environment, as in process chemistry and separations. Here, we study how the change of solvent affects the solubility of a given compound. That is, we calculate relative solubilities. We use MD simulations to calculate relative solubility and compare our calculated values with experiment as well as with results from several other methods, SMD and UNIFAC, the latter of which is commonly used in chemical engineering design. We find that straightforward solubility calculations based on molecular simulations using a general small-molecule force field outperform SMD and UNIFAC both in terms of accuracy and coverage of the relevant chemical space.