TrainMiC® Presentations Translated in Turkish

TrainMiC® is a European programme for life-long learning about how to interpret the metrological requirements in chemistry. It is operational across many parts of Europe via national teams. These teams use shareware pedagogic tools which have been harmonized at European level by a joint effort of many experts across Europe working in an editorial board. The material has been translated into fourteen different languages. In this publication, TrainMiC® presentations translated in Turkish language by the Turkish TrainMiC® team are published.JRC.D.3 - Knowledge Transfer and Standards for Securit

Large language models surpass human experts in predicting neuroscience results

Scientific discoveries often hinge on synthesizing decades of research, a task that potentially outstrips human information processing capacities. Large language models (LLMs) offer a solution. LLMs trained on the vast scientific literature could potentially integrate noisy yet interrelated findings to forecast novel results better than human experts. Here, to evaluate this possibility, we created BrainBench, a forward-looking benchmark for predicting neuroscience results. We find that LLMs surpass experts in predicting experimental outcomes. BrainGPT, an LLM we tuned on the neuroscience literature, performed better yet. Like human experts, when LLMs indicated high confidence in their predictions, their responses were more likely to be correct, which presages a future where LLMs assist humans in making discoveries. Our approach is not neuroscience specific and is transferable to other knowledge-intensive endeavours

Change in Industrial Designers' Jobs: The Case of Turkey, 1984-2018

This paper examines the change in the forms of employment of industrial designers between 1984 and 2018 in Turkey. The empirical data come from the graduates of the four oldest industrial design departments in the country. Utilizing multiple sources, we collected longitudinal data on forms of employment and duration of jobs for a total of 1205 individuals. Drawing on this data, we present a descriptive analysis of the changing job patterns in in-house employment, self-employment, freelance work, academic jobs and part-time teaching jobs. Our findings show that throughout the three and a half decades (1) in-house employment remains the main form of employment, in which UX-focused jobs emerge as a recent and consistently increasing subcategory, (2) the percentage of self-employed job types dropped significantly, and this lacuna was filled by freelance jobs, and (3) there is a considerable increase in women's participation in industrial design jobs, particularly in in-house positions

Peptidoglycan layer and disruption processes in Bacillus subtilis cells visualized using quick-freeze, deep-etch electron microscopy

AbstractPeptidoglycan, which is the main component of the bacterial cell wall, is a heterogeneous polymer of glycan strands cross-linked with short peptides and is synthesized in cooperation with the cell division cycle. Although it plays a critical role in bacterial survival, its architecture is not well understood. Herein, we visualized the architecture of the peptidoglycan surface in Bacillus subtilis at the nanometer resolution, using quick-freeze, deep-etch electron microscopy (EM). Filamentous structures were observed on the entire surface of the cell, where filaments about 11 nm wide formed concentric circles on cell poles, filaments about 13 nm wide formed a circumferential mesh-like structure on the cylindrical part and a ‘piecrust’ structure was observed at the boundary. When growing cells were treated with lysozyme, the entire cell mass migrated to one side and came out from the cell envelope. Fluorescence labeling showed that lysozyme preferentially bound to a cell pole and cell division site, where the peptidoglycan synthesis was not complete. Ruffling of surface structures was observed during EM. When cells were treated with penicillin, the cell mass came out from a cleft around the cell division site. Outward curvature of the protoplast at the cleft seen using EM suggested that turgor pressure was applied as the peptidoglycan was not damaged at other positions. When muropeptides were depleted, surface filaments were lost while the rod shape of the cell was maintained. These changes can be explained on the basis of the working points of the chemical structure of peptidoglycan.</jats:p

Peptidoglycan layer and disruption processes in<i>Bacillus subtilis</i>cells visualized using quick-freeze, deep-etch electron microscopy

ABSTRACTPeptidoglycan, which is the main component of the bacterial cell wall, is a heterogeneous polymer of glycan strands crosslinked with short peptides and is synthesized in cooperation with the cell division cycle. Although it plays a critical role in bacterial survival, its architecture is not well understood. Herein, we visualized the architecture of the peptidoglycan surface inBacillus subtilisat the nanometer resolution, using quick-freeze, deep-etch electron microscopy. Filamentous structures were observed on the entire surface of the cell, where filaments about 11-nm wide formed concentric circles on cell poles, filaments about 13-nm wide formed a circumferential mesh-like structure on the cylindrical part, and a “piecrust” structure was observed at the boundary. When growing cells were treated with lysozyme, the entire cell mass migrated to one side and came out from the cell envelope. Fluorescence labeling showed that lysozyme preferentially bound to a cell pole and cell division site, where the peptidoglycan synthesis was not complete. Ruffling of surface structures was observed during electron microscopy. When cells were treated with penicillin, the cell mass came out from a cleft around the cell division site. Outward curvature of the protoplast at the cleft seen using electron microscopy suggested that turgor pressure was applied as the peptidoglycan was not damaged at other positions. When muropeptides were depleted, surface filaments were lost while the rod shape of the cell was maintained. These changes can be explained on the basis of the working points of the chemical structure of peptidoglycan.</jats:p

Group Structure and Intergroup Relations in Global Terror Networks: Further Explorations

Studies have begun to look at the potentially crucial impacts of group decentralization and inter-group global networking in accounting for the extent and severity of violence in insurgencies and terrorism. Groups may be able to survive more effectively, evade anti-terror or counter-insurgency strategies, and inflict greater damage or more civilian attacks by operating under more or less centralized leadership, or by making use of the resources of other like-minded groups scattered across borders. While some analysts have examined each of these possibilities, few if any have done so simultaneously with both structural and networking indicators or examined the joint effects of these indicators. We propose to do so in this study by combining existing datasets on terrorist structure and networks. Hypotheses and findings in prior studies have indicated that structural decentralization may lead to more civilian attacks if not more destruction since local cells are freer to act on their own, and that group size and centrality in the global terror networks lead to greater lethality and group survival rates. We re-examine such assumptions here with OLS and logit models combining these effects, and find that in addition to group size, network reach (eigenvalue centrality) rather than group interconnections per se (number of allies) appears to have primary impacts on group lethality, targeting, and survival, sometimes in conjunction with decentralized organizational structure

Selection shapes the robustness of ligand-binding amino acids

The phenotypes of biological systems are to some extent robust to genotypic changes. Such robustness exists on multiple levels of biological organization. We analyzed this robustness for two categories of amino acids in proteins. Specifically, we studied the codons of amino acids that bind or do not bind small molecular ligands. We asked to what extent codon changes caused by mutation or mistranslation may affect physicochemical amino acid properties or protein folding. We found that the codons of ligand-binding amino acids are on average more robust than those of non-binding amino acids. Because mistranslation is usually more frequent than mutation, we speculate that selection for error mitigation at the translational level stands behind this phenomenon. Our observations suggest that natural selection can affect the robustness of very small units of biological organization