The aim of this contribution is to analyse the special role that gymnastics clubs played, under the umbrella of the (SFG), in the formation of the Swiss nation and in the representation of a strong and united national youth at a time when the unity represented by the Swiss federal State founded in 1848 was strongly questioned by the conservative opposition. The purpose is mainly based on extensive statistical data gathered within the SFG about its members throughout the country at three particular moments (1873, 1895, and 1907) and on institutional archival funds. Our analysis is based on three successive points: after defining the relationship between the SFG and the Swiss Federal State (founded in 1848) for the unification and defense of the homeland, whether in terms of institutional mimicry or the building of a "national youth," a second part defines which type of "youth" is specifically targeted by the SFG and what it meant at the time to be a "young" or an "old" gymnast, in particular through the participation of the SFG in the National exhibition of Geneva in 1896. Finally, a last part widens the perspective by highlighting, on one side, the cultural, political, and cantonal constraints on national expansion through youth of Swiss gymnastics and, on the other side, how these constraints have generated unifying and patriotic ambitions and discourses within the SFG.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7952970 | PMC |
http://dx.doi.org/10.3389/fspor.2021.563324 | DOI Listing |
Nano Lett
January 2025
Electron Microscopy Center, Empa - Swiss Federal Laboratories for Materials Science and Technology, Überlandstrasse 129, 8600 Dübendorf, Switzerland.
The computational cost of simulating scanning transmission electron microscopy (STEM) images limits the curation of large enough data sets to train accurate and robust machine learning networks for deep feature extraction from atomically resolved STEM images. For nanoparticle size estimation in particular, a diverse data set is essential due to the large variations in size, shape, crystallinity, orientation, and dynamical diffraction effects in experimental data. To address this, we train a 3D convolutional neural network to predict STEM images from voxelized atomic models, achieving a 100x speed-up compared to traditional multislice simulations while maintaining high image quality.
View Article and Find Full Text PDFEnviron Toxicol Chem
January 2025
Department of Environmental Toxicology, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
Given the need to reduce animal testing for environmental risk assessment, we aim to develop a fish invitrome, an alternative fish modular framework capable of predicting chemical toxicity in fish without the use of animals. The central module of the framework is the validated RTgill-W1 cell line assay that predicts fish acute toxicity of chemicals (Organization for Economic Cooperation and Development Test Guideline (OECD TG) 249). Expanding towards prediction of chronic toxicity, the fish invitrome includes two other well-advanced modules for chemical bioaccumulation/biotransformation and inhibition of fish growth.
View Article and Find Full Text PDFNature
January 2025
Institute of Molecular Health Sciences, Department of Biology, Swiss Federal Institute of Technology (ETH) Zurich, Zurich, Switzerland.
During normal cellular homeostasis, unfolded and mislocalized proteins are recognized and removed, preventing the build-up of toxic byproducts. When protein homeostasis is perturbed during ageing, neurodegeneration or cellular stress, proteins can accumulate several forms of chemical damage through reactive metabolites. Such modifications have been proposed to trigger the selective removal of chemically marked proteins; however, identifying modifications that are sufficient to induce protein degradation has remained challenging.
View Article and Find Full Text PDFNat Commun
January 2025
Ministry of Education Key Laboratory of Environment Remediation and Ecological Health, College of Environmental & Resource Sciences, Zhejiang University, Hangzhou, 310058, China.
Research on silicon (Si) biogeochemistry and its beneficial effects for plants has received significant attention over several decades, but the reasons for the emergence of high-Si plants remain unclear. Here, we combine experimentation, field studies and analysis of existing databases to test the role of temperature on the expression and emergence of silicification in terrestrial plants. We first show that Si is beneficial for rice under high temperature (40 °C), but harmful under low temperature (0 °C), whilst a 2 °C increase results in a 37% increase in leaf Si concentrations.
View Article and Find Full Text PDFPLoS One
January 2025
Clinic of Neonatology, Department of Mother-Woman-Child, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
It has been widely assessed that very preterm children (<32 weeks gestational age) present language and memory impairments compared with full-term children. However, differences in their underlying semantic memory structure have not been studied yet. Nevertheless, the way concepts are learned and organized across development relates to children's capacities in retrieving and using information later.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!