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Our results further indicate that previously banned long-chain PFAAs had persistent residuals in this coastal marine ecosystem, and that emerging short-chain PFAAs had high concentrations in some species but showed no biomagnification.Carbon-catalyzed persulfate activation for the removal of gaseous volatile organic compounds (VOCs) has not been reported yet, and the corresponding fundamental mechanisms of VOCs adsorption and the subsequent VOCs degradation remain controversial. In this work, theoretical chemistry calculations were carried out to explore the VOCs removal mechanism by the persulfate-based advanced oxidation processes (P-AOPs) for VOCs removal over single walled carbon nanotubes (SWCNT). This study provided detailed theoretical insights into the SWCNT/P-AOPs for VOCs treatment in terms of adsorption, activation, mineralization, and diffusion of VOCs or peroxymonosulfate (PMS). Givinostat Various VOCs were found to be preferentially adsorbed onto SWCNT, and the adsorption strength of VOCs was found to be significantly dependent on their polarizability. On the other side, PMS adsorbed on SWCNT could be efficiently activated through accepting π electron in the sp2 carbon matrix of SWCNT rather than the electrons at dangling bonds to generate •OH radicals attributed to the strong interaction between PMS and SWCNT. Formaldehyde was then taken as an example to evaluate the catalytic degradation pathways via SWCNT/P-AOPs. Under the attack of •OH radicals, the ultrafast degradation pathway of formaldehyde with no byproduct CO was identified with ultralow reaction energy barrier and large energy release. In addition, factors affecting the adsorption of organic compounds were identified and the detailed PMS activation pathway was present directly in this work. Above all, this work extended the carbons/P-AOPs system to VOCs abatement and presented systematic evidences for the essential mechanisms associated with VOCs adsorption and PMS activation by SWCNT, and the corresponding removal pathway and mechanism were also understood.

Random forests (RF) is a widely used machine-learning algorithm, and outperforms many other machine learning algorithms in prediction-accuracy. But it is rarely used for predicting causes of death (COD) in cancer patients. On the other hand, multicategory COD are difficult to classify in lung cancer patients, largely because they have multiple labels (versus binary labels).

We tuned RF algorithms to classify 5-category COD among the lung cancer patients in the surveillance, epidemiology and end results-18, whose lung cancers were diagnosed in 2004, for the completeness in their follow-up. The patients were randomly divided into training and validation sets (11 and 41 sample-splits). We compared the prediction accuracy of the tuned RF and multinomial logistic regression (MLR) models.

We included 42,257 qualified lung cancers in the database. The COD were lung cancer (72.41%), other causes or alive (14.43%), non-lung cancer (6.85%), cardiovascular disease (5.35%), and infection (0.96%). The tuned RF model with 300 iterations and 10 variables outperformed the MLR model (accuracy=69.8% vs 64.6%, 11 sample-split), while 41 sample-split produced lower prediction-accuracy than 11 sample-split. The top-10 important factors in the RF model were sex, chemotherapy status, age (65+ vs<65 years), radiotherapy status, nodal status, T category, histology type and laterality, all of which except T category and laterality were also important in MLR model.

We tuned RF models to predict 5-category CODs in lung cancer patients, and show RF outperforms MLR in prediction accuracy. We also identified the factors associated with these COD.

We tuned RF models to predict 5-category CODs in lung cancer patients, and show RF outperforms MLR in prediction accuracy. We also identified the factors associated with these COD.Listeria monocytogenes (Lm) is a foodborne bacterial pathogen that causes listeriosis, a severe infection that manifests as bacteremia and meningo-encephalitis mostly in immunocompromised individuals, and maternal-fetal infection. A critical pathogenic determinant of Lm relies on its ability to actively cross the intestinal barrier, disseminate systemically and cross the blood-brain and placental barriers. Here we illustrate how Lm both evades innate immunity, favoring its dissemination in host tissues, and triggers innate immune defenses that participate to its control.Examining predictors of alcohol use among adolescent girls is increasingly important to enhance prevention efforts, given that the gender gap in alcohol use is steadily closing. While both religiosity and self-control have been independently associated with decreased alcohol use, little research has explored 1) whether religiosity and self-control are reciprocally related and 2) whether the reciprocal association between these constructs may indicate different patterns in the development of alcohol use. As such, this study examined whether there are multiple patterns of reciprocal relationships across religiosity, self-control, and alcohol use among adolescent girls. Latent variable mixture modeling was combined with an autoregressive cross-lagged panel model to identify discrete, prototypical patterns of longitudinal associations (i.e., subgroups) across religiosity, self-control, and alcohol use among 2,122 girls ages 13-17. Psychosocial covariates (e.g., conduct problems) were examined as predictors of each subgroup. Two subgroups were identified. Self-control was associated with reduced alcohol use in both the majority (87.56% of the sample) and minority (12.44% of the sample) subgroups, but only the majority subgroup also demonstrated associations between religiosity, self-control, and alcohol use. Religiosity may predict lower alcohol use in a majority of adolescent girls but this association may not be present among all girls, suggesting that there is a qualitative difference in how religiosity is associated with self-control and alcohol use between subgroups. Results also suggest that higher levels of conduct problems may predict which girls are more likely to demonstrate associations between only self-control and alcohol use, and demonstrate no significant associations with religiosity.