In insects, juvenile hormone (JH) decreases or has any effect upon the phenoloxidase (PO) activity, and favors or decreases the Antimicrobial Peptides (AMPs) expression. Although there is no information about the differential effect of such hormone, two possibilities are that it depends on (a) the immune marker recorded and (b) sexual differences. Here, three commonly used immune markers, Phenoloxidase (PO), hydrogen peroxide (H 2 O 2 ), and lytic activity, were measured 3, 6 and 24 hours after administration of methoprene (JHa, an analog of juvenile hormone) in male and female monarch butterflies (Danaus plexippus). At 3 and 6 h post-JHa administration, the PO activity increased in females but it only increased at 3 h in males, whereas H 2 O 2 levels increased only in females at 3 h. For the remaining times the JHa had a null effect on PO and H 2 O 2 . On the other hand, the JHa had a null effect for lytic activity in both sexes at 3, 6 and 24 h. To our knowledge, this is the first report of a positive effect of a JHa on PO and H 2 O 2 and suggests that this effect is sex dependent.
Purpose To examine the associations of current electronic cigarette and cannabis use patterns with depression symptoms and suicidal ideation and behavior overall and stratified by sex among U.S. high school students. Design Quantitative, cross-sectional study. Setting The 2019 National Youth Risk Behavior Survey. Subjects 12,401 high school students in 9th−12th grade. Measures Dependent variables were depression symptoms, suicidal ideation, suicide plan, suicide attempt, and suicide attempt-related injury. Independent variables were past 30 day e-cigarette and cannabis use patterns. Covariates included demographics, grade level, and other tobacco product use. Analysis Multivariable logistic regression models. Results Approximately 15.7% of students were exclusive e-cigarette users, 4.5% were exclusive cannabis users, and 16.4% were concurrent e-cigarette and cannabis users. Exclusive e-cigarette and cannabis users, and concurrent users were at increased odds ( P < .05) of having depression symptoms, seriously considered attempting suicide, planning suicide, suicide attempt, and having suicide attempt-related injury compared to non-users. Female users, especially concurrent users, had higher odds of reporting depression symptoms ( P < .01) and all suicidal ideation and behavior outcomes ( P < .01) than female non-users, but results varied for male students. Conclusion E-cigarette and cannabis use patterns significantly predicted depression symptomatology and suicidal ideation and behavior, with female students having higher odds. Results suggest the need for tailored interventions to address mental health and suicidality among U.S. adolescents, and especially female students.
Recommendation Systems are a useful tool in an organization's decision-making process, because they base their recommendations on applied mathematical models. The organization's historical information-based Recommendation Systems make it possible to make even more accurate decisions because of the personal nature of the information that feeds them. Thanks to the various information technologies that exist, the creation of Customized Recommendation Systems according to the needs of the organization is of relative ease. The purpose of this article is to show the procedure for creating and operating a recommendation system developed in the Jupyter Notebook as a business intelligence tool that supports business decision-making applied to an organization-specific personnel selection case.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.