Social Class-Based Discrimination and Psychological Symptoms Among Socioeconomically Disadvantaged College Students: The Moderated Mediation Role of Stress Mindset and Rumination.

Discrimination as a crucial stressor damages the mental health of socioeconomically disadvantaged individuals through increased ruminative thinking. A "stress-is-enhancing" mindset may protect the mental health of socioeconomically disadvantaged individuals under the pressures of perceived discrimination and rumination. This study examined the mediating role of rumination and the moderating role of stress mindset in the relationship between perceived discrimination and psychological symptoms among socioeconomically disadvantaged college students. A total of 919 socioeconomically disadvantaged undergraduate students (48.4% female, ages 17-25) were recruited. The results indicated that perceived discrimination was positively associated with psychological symptoms among socioeconomically disadvantaged undergraduate students through rumination (B = 0.11, boot SE = 0.01, boot 95% CIs = [0.08, 0.13]). Importantly, stress mindset moderated the indirect association between perceived discrimination and psychological distress through rumination (B = -0.18, boot SE = 0.08, boot 95% CIs = [-0.32, -0.03]). Specifically, compared with individuals with low levels of the stress-is-enhancing mindset, the indirect effect of perceived discrimination on psychological distress through rumination was weaker among individuals with high levels of the stress-is-enhancing mindset. The findings provide support for future intervention practice to promote a stress-is-enhancing mindset to protect the mental health of socioeconomically disadvantaged college students under the pressures of perceived discrimination and rumination.

Shared humanity, awareness of socio-economic privilege, and classism during the pandemic as predictors of supporting equal socio-economic policies.

The coronavirus pandemic has caused unemployment to skyrocket, exposed the longstanding inequalities in health care services and working conditions, and mainly affected the poor in different parts of the world. In the current study, we focus on social identity and social class-related factors that are critical during the pandemic to gain insights into what predicts support for policies favoring economic equality in the post-pandemic period. We argue that to the extent that individuals 1) identify with all humanity during the pandemic, 2) are aware of their socio-economic status-based privilege, 3) do not hold classist attitudes, they would support policies favoring economic equality. In Study 1, survey data from 1212 participants in Turkey were analyzed by means of hierarchical linear regression analysis. The findings showed that stronger identification with all humanity, higher awareness of socio-economic status-based privilege, and less endorsement of classist attitudes predict more support for socio-economic equality policies in the post-pandemic period, after controlling for socio-demographic and socio-political characteristics of participants. Study 2 (N = 212) replicated the findings in a different context, namely the U.S. Our findings extend previous studies by showing the importance of a global identity, such as shared human identity, in the ongoing and potentially in the aftermath of the pandemic. In addition, our findings highlight the joint contributions of socio-economic factors such as classist attitudes and awareness of class-based privilege to the support for socio-economic policies.

Results and analysis of national personal dose monitoring intercomparison in 2021 / 中国辐射卫生

Objective@#To improve radiation testing institutions’ ability and levels of personal dose monitoring for external exposure and standardize monitoring work.@*Methods@#According to Testing Criteria of Personnel Dosimetry Performance for External Exposure (GBZ 207—2016), the intercomparison programme was made, the 2021 class-based personal dose monitoring intercomparison were organized by the National Institute for Radiological Protection, Chinese Center for Disease Control and Prevention and provincial monitoring institutions.@*Results@#A total of 150 institutions participated in the 2021 national intercomparison of personal dose monitoring capability. Of them, 143 (95.3%) passed the assessment, including 51 excellent institutions (excellent rate, 34.0%), and 7 (4.7%) failed to pass the assessments.@*Conclusion@#The 2021 national personal dosimetry performance intercomparison showed great improvements in the pass rate and excellent rate compared with previous national assessments. However, still seven institutions failed to pass this assessment, including four institu- tions with class A qualifications. The testing institutions need to find out the reasons to increase their testing ability. This class-based intercomparison improved the point-to-plane relationship between the organizing and testing institutions, help- ing the organizing institution focus on improving the testing ability of provincial testing institutions and class A radiation health service institutions.

The impact of exposure route for class-based compounds: a comparative approach of lethal toxicity data in rodent models.

Relationships of toxicities from intravenous (i.v.), intraperitoneal (i.p.), subcutaneous (s.c.) and intragastric (i.g.) exposure routes to mice were investigated. Regression analysis showed that the toxicities from i.v. route is strongly correlated with i.p. and s.c. routes, but poorly with i.g. route. Close toxicities from different routes for some compounds indicate that distribution rate is the determining step and dictates chemical concentration at the target site(s). On the other hand, the absorption rate is the determining step for many compounds, which lead to different toxicities between exposure routes. The classified compounds characterized as having either absorption or distribution rate determining step were based upon the comparison of toxicities from the different routes. We found that some aliphatic acids and benzoic acids have lower toxicity values from i.g. route compared to an i.v. route because of poor absorption. Many compounds show low toxic effects from i.g. route than those from other routes because of the first-pass metabolism in the gastrointestinal tract, resulting in the poor relationship for toxicities between i.g. and i.v. or other routes. Stepwise regression analysis showed that physicochemical properties of a compound, such as molecular volume, polarizability and hydrophobicity, significantly affect adsorption rate, which leads to different toxicities based upon exposure routes. Comparison of the toxicities between mice and rats indicate that toxic effect and the toxicokinetic processes in mice are very similar to that in rats. A universal correlation equation has been developed for the toxicities between rats and mice from different exposure routes, which can be applied to predict toxicities across species.

Incorporating Online and In-person Book Clubs into Sociology Courses.

Previous research has examined the use of nontraditional readings, particularly fiction, as a tool for teaching sociological concepts. Few studies have specifically looked at nonfiction monographs and ethnographies. This paper extends prior research by exploring how in-person and online book clubs using nonfiction texts can be used as a tool to engage and introduce students to sociological ideas. Book clubs were implemented in eight different sections across three courses. The structure and format of the book clubs varied considerably. We identify best practices for incorporating book clubs into sociology courses. Drawing on data from instructor-designed surveys, institutional course evaluations, and course exams, we also examine how book clubs influence student attitudes and learning outcomes. We conclude that book clubs can be adapted to fit a variety of courses and across different types of institutions.

Class-Based Chronicities of Suffering and Seeking Help: Comparing Addiction Treatment Programs in Uganda.

Based on ethnographic fieldwork, this article looks at changing discourses and practices in the field of mental health care in Uganda. In particular, it analyzes two psychotherapeutic institutions designed to treat drug- and alcohol-addiction, and their accessibility and affordability for people from different class backgrounds. The first center is a high-class residential facility near Kampala which offers state-of-the-art addiction therapy, but is affordable only for the rich. The second center, a church-funded organization in Northern Uganda, cares mainly for people from poor, rural families who cannot afford exp/tensive treatment. Comparing the two centers provides important insights not only into the temporalities of mental illness, substance abuse and mental health care, but also into broader socio-economic dynamics and understandings of suffering in contemporary Uganda. The term 'class-based chronicities' refers to the way both the urgency with which people seek treatment (when has someone suffered enough?) and the length of treatment they receive (when is someone considered 'recovered'?) are highly class-dependent. On a theoretical level, the article shows how psychotherapeutic models operate as philosophical systems which not only impact on treatment practices, but also produce different addiction entities and addiction-related subjectivities. As such, it contributes to an emerging anthropology of addiction.

Mutagenic impurities in pharmaceuticals: a critique of the derivation of the cancer TTC (Threshold of Toxicological Concern) and recommendations for structural-class-based limits.

The cancer TTC (Threshold of Toxicological Concern) concept is currently employed as an aid to risk assessment of potentially mutagenic impurities (PMIs) in food, cosmetics and other sectors. Within the pharmaceutical industry the use of one default cancer TTC limit of 1.5 µg/day for PMIs is being increasingly questioned. Its derivation, originally in the context of foodstuffs, can be broken down into five key elements: dataset composition; determination of carcinogenicity/mutagenicity status and carcinogenic potency (based on TD50s) of compounds in the dataset; linear extrapolation of carcinogenic potencies; evaluation of the more potent compounds in each structural category, and presence of representative structural alerts amongst the more potent compounds. A detailed evaluation reveals that the derivation process is distorted by the use of the lowest statistically significant TD50s (which can produce a false-carcinogen phenomenon) and by employing linear extrapolation for non-mutagenic carcinogens. By correcting for these two factors, it is concluded that only around 50% of conventional structural-alert categories were adequately addressed and that limits higher than the default value appear to be justified in many cases. Using similar criteria for PMIs in pharmaceuticals, four distinct potency categories of conventional structural alerts can be distinguished, ranging from alerts with questionable validity to those with high potency, which are considered to provide a range of flexible and pragmatic limits for such impurities.

A novel feature selection method and its application.

In this paper, a novel feature selection method based on rough sets and mutual information is proposed. The dependency of each feature guides the selection, and mutual information is employed to reduce the features which do not favor addition of dependency significantly. So the dependency of the subset found by our method reaches maximum with small number of features. Since our method evaluates both definitive relevance and uncertain relevance by a combined selection criterion of dependency and class-based distance metric, the feature subset is more relevant than other rough sets based methods. As a result, the subset is near optimal solution. In order to verify the contribution, eight different classification applications are employed. Our method is also employed on a real Alzheimer's disease dataset, and finds a feature subset where classification accuracy arrives at 81.3%. Those present results verify the contribution of our method.