Defense of science.

Science

Published: March 1970

Download full-text PDF

Source
http://dx.doi.org/10.1126/science.167.3926.1669-aDOI Listing

Publication Analysis

Top Keywords

defense science
4
defense
1

Similar Publications

5-Fluorouracil (5-FU) is a chemotherapeutic that is used to treat solid tumors. However, 5-FU is associated with several side effects, including cardiotoxicity. Considering the importance of the intrinsic cardiac nervous system (ICNS) for the heart and that little is known about effects of 5-FU on this nervous system plexus, the purpose of the present study was to evaluate effects 5-FU at a low dose on the ICNS and oxidative and inflammatory effects in the heart in Wistar rats.

View Article and Find Full Text PDF

Background: Gestational exposure to non-persistent endocrine-disrupting chemicals (EDCs) may be associated with adverse pregnancy outcomes. While many EDCs affect the endocrine system, their effects on endocrine-related metabolic pathways remain unclear. This study aims to explore the global metabolome changes associated with EDC biomarkers at delivery.

View Article and Find Full Text PDF

Epidemiological evidence has shown that the regular ingestion of vegetables and fruits is associated with reduced risk of developing chronic diseases. The introduction of the 3Rs (replacement, reduction, and refinement) principle into animal experiments has led to the use of valid, cost-effective, and efficient alternative and complementary invertebrate animal models which are simpler and lower in the phylogenetic hierarchy. Caenorhabditis elegans (C.

View Article and Find Full Text PDF

Early identification of dropouts during the special forces selection program.

Sci Rep

January 2025

Department of Psychology, Faculty of Behavioural and Social Sciences, University of Groningen, Grote Kruisstraat 2/1, 9712TS, Groningen, The Netherlands.

Recruits are exposed to high levels of psychological and physical stress during the special forces selection period, resulting in dropout rates of up to 80%. To identify who likely drops out, we assessed a group of 249 recruits, every week of the selection program, on their self-efficacy, motivation, experienced psychological and physical stress, and recovery. Using linear regression as well as state-of-the-art machine learning techniques, we aimed to build a model that could meaningfully predict dropout while remaining interpretable.

View Article and Find Full Text PDF

Multidrug resistance in the pathogenic fungus Candida glabrata is a growing global threat. Here, we study mechanisms of multidrug resistance in this pathogen. Exposure of C.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!