76 research outputs found
NMR for food profiling - Long Drink, Short Experiment. An interdisciplinary approach to promoting judgement
Der vorliegende Beitrag stellt ein interdisziplinäres Projekt der Unterrichtsfächer Chemie und Ernährungs- und Verbraucher*innenbildung vor. Es zielt darauf ab, dass Schülerinnen und Schüler eine wissensbasierte Urteilskompetenz entwickeln, um in ihrem Alltag reflektierte Entscheidungen für eine nachhaltige Lebensführung zu treffen. Mit Hilfe dieser Urteilskompetenz können sie ein faktenbasiert begründetes Maß zwischen Konsum und Verzicht finden. (DIPF/Orig.)This article presents an interdisciplinary project of the subjects chemistry and nutrition and consumer education. It aims to develop a knowledge-based judgement competence for decisions for a sustainable lifestyle in everyday life. With this judgement competence, students can find a fact-based, well-founded measure between consumption and renunciation. (DIPF/Orig.
Ion Mobility in Crystalline Battery Materials
Ion mobility in electrolytes and electrodes is an important performance parameter in electrochemical devices, particularly in batteries. In this review, the authors concentrate on the charge carrier mobility in crystalline battery materials where the diffusion basically corresponds to hopping processes between lattice sites. However, in spite of the seeming simplicity of the migration process in crystalline materials, the factors governing mobility in these materials are still debated. There are well-accepted factors contributing to the ion mobility such as the size and the charge of the ions, but they are not sufficient to yield a complete picture of ion mobility. In this review, possible factors influencing ion mobility in crystalline battery materials are critically discussed. To gain insights into these factors, chemical trends in batteries, both as far as the charge carriers as well as the host materials are concerned, are discussed. Furthermore, fundamental questions, for example, about the nature of the migrating charge carriers, are also addressed
Extracts of Rheum palmatum and Aloe vera show beneficial properties for the synergistic improvement of oral wound healing
Various local and systemic factors compromise oral wound healing and may lead to wound dehiscence, inflammation, or ulcers. Currently, there is a lack of topical therapeutical options. Thus, this study aimed to investigate the effect of Aloe vera (AV) and Rheum palmatum root (RPR) on oral wound healing capacity in vitro. The effect of AV and RPR on human primary fibroblast viability and migration was studied by measuring metabolic activity and gap closure in a scratch assay. Furthermore, cell cycle distribution and cytoskeletal features were analyzed. Antimicrobial activity against the oral pathogen Porphyromonas gingivalis was evaluated by broth microdilution assay. AV and RPR increased fibroblast migration after single agent treatment. Synergistic effects of the plant extract combination were observed regarding cellular migration which were confirmed by calculation of the phenomenological combination index (pCI), whereas the cell cycle distribution was not influenced. Furthermore, the combination of AV and RPR showed synergistic antibacterial effects as determined by the fractional inhibitory concentration index. This study demonstrated that the combination of AV and RPR can promote the migration of human primary fibroblasts in vitro and exert antimicrobial efficacy against P. gingivalis, suggesting these compounds for the topical treatment of wound healing disorders
Forms of Understanding of XAI-Explanations
Explainability has become an important topic in computer science and
artificial intelligence, leading to a subfield called Explainable Artificial
Intelligence (XAI). The goal of providing or seeking explanations is to achieve
(better) 'understanding' on the part of the explainee. However, what it means
to 'understand' is still not clearly defined, and the concept itself is rarely
the subject of scientific investigation. This conceptual article aims to
present a model of forms of understanding in the context of XAI and beyond.
From an interdisciplinary perspective bringing together computer science,
linguistics, sociology, and psychology, a definition of understanding and its
forms, assessment, and dynamics during the process of giving everyday
explanations are explored. Two types of understanding are considered as
possible outcomes of explanations, namely enabledness, 'knowing how' to do or
decide something, and comprehension, 'knowing that' -- both in different
degrees (from shallow to deep). Explanations regularly start with shallow
understanding in a specific domain and can lead to deep comprehension and
enabledness of the explanandum, which we see as a prerequisite for human users
to gain agency. In this process, the increase of comprehension and enabledness
are highly interdependent. Against the background of this systematization,
special challenges of understanding in XAI are discussed
The Crowdsourced Replication Initiative: Investigating Immigration and Social Policy Preferences. Executive Report.
In an era of mass migration, social scientists, populist parties and social movements raise concerns over the future of immigration-destination societies. What impacts does this have on policy and social solidarity? Comparative cross-national research, relying mostly on secondary data, has findings in different directions. There is a threat of selective model reporting and lack of replicability. The heterogeneity of countries obscures attempts to clearly define data-generating models. P-hacking and HARKing lurk among standard research practices in this area.This project employs crowdsourcing to address these issues. It draws on replication, deliberation, meta-analysis and harnessing the power of many minds at once. The Crowdsourced Replication Initiative carries two main goals, (a) to better investigate the linkage between immigration and social policy preferences across countries, and (b) to develop crowdsourcing as a social science method. The Executive Report provides short reviews of the area of social policy preferences and immigration, and the methods and impetus behind crowdsourcing plus a description of the entire project. Three main areas of findings will appear in three papers, that are registered as PAPs or in process
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