Hochschule Bonn-Rhein-Sieg
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From Primitive Hut to Children’s Forest Forts: Architecture, Play, and the Transformation of Wilderness into Landscape
No full textThis essay is an experiment emerging from a long-term photographic project. For over six years, we have done a photo documentation of the structures that children build in the forest. A small selection taken from this substantial archive will be presented here, alongside this essay. With this text we want to demonstrate, that these ‘dens’ or ‘forts’ echo the concept of the Vitruvian ‘primitive hut’ and raise profound theoretical questions: Are these naïve forts a form of architecture? How does their creation transform the wild forest (a natural wilderness) into a meaningful landscape? With this article we aim to explore these questions from the perspectives of architectural theory, philosophy, and sociology, arguing that the makeshift woodland dens of childhood are indeed an architectural act – one that mediates between human imagination and nature, thus turning space into place and wilderness into landscape. We draw on European intellectual traditions (from Vitruvius and Laugier to Heidegger, Bachelard, and others) to demonstrate that children’s forest forts embody fundamental architectural principles and reveal the innate human drive to shape nature into landscape
Thermodynamical and electrochemical model of a PEM electrolyzer plant in the megawatt range with a literature analysis of the fitting parameters
Get PDFIn the coming years, the European Union plans to establish Proton Exchange Membrane (PEM) electrolyzers, each with a 100 MW capacity. However, the selection of their locations has not been systematically optimized to leverage potential benefits, such as utilizing waste heat from large facilities for district heating. Presently, there are hardly any corresponding system models in the literature dynamically simulating a PEM electrolyzer of this size. This paper introduces a first model approach for such systems, drawing on parameters from existing literature. It addresses the inconsistency found in the literature regarding the use of the exchange current density, which varies by a factor of 10 9. A novel optimization process is developed by using an auxiliary parameter to fit the exchange current density with a newfound condition between the anode and cathode side. The outcome is a comprehensive model of a PEM electrolyzer plant, exemplarily adapted to the Siemens Silyzer 300
A Year of Impact: PELS S&YP Committee in 2024 and Beyond [Students and Young Professionals Rendezvous]
No full textAn Evaluation of Entrepreneurship Support Programme at a German University of Applied Sciences: A Case of Regionally Engaged Entrepreneurial University
No full textTabular Data Adapters: Improving Outlier Detection for Unlabeled Private Data
No full textThe remarkable success of Deep Learning approaches is often based and demonstrated on large public datasets. However, when applying such approaches to internal, private datasets, one frequently faces challenges arising from structural differences in the datasets, domain shift, and the lack of labels. In this work, we introduce Tabular Data Adapters (TDA), a novel method for generating soft labels for unlabeled tabular data in outlier detection tasks. By identifying statistically similar public datasets and transforming private data (based on a shared autoencoder) into a format compatible with state-of-the-art public models, our approach enables the generation of weak labels. It thereby can help to mitigate the cold start problem of labeling by basing on existing outlier detection models for public datasets. In experiments on 50 tabular datasets across different domains, we demonstrate that our method is able to provide more accurate annotations than baseline approaches while reducing computational time. Our approach offers a scalable, efficient, and cost-effective solution, to bridge the gap between public research models and real-world industrial applications
Polyphenolic Extracts from Vine Biomass: An Antioxidant Interjection
Get PDFPolyphenols, a diverse group of phytochemicals, are an indispensable component of the antioxidant defense system, given their capacity to neutralize free radicals and modulate redox reactions. This review examines the chemical diversity and antioxidant potential of polyphenols derived from viticultural byproducts, including grape skins, seeds, pomace, and stems. These biomass sources provide a sustainable reservoir of bioactive compounds with potential applications in the development of functional and biobased materials. This review also addresses the methodological challenges inherent to this field, such as the variability of extraction procedures and test conditions. This study critically examines the influence of the structural characteristics of polyphenols, including the number, nature, and distribution of hydroxyl groups as well as molecular size, on antioxidant activity. Additionally, innovative extraction techniques that enhance yield and bioactivity are presented and evaluated. Besides conventional monomeric and oligomeric polyphenolic compounds, lignins, a class of high-molecular-weight polyphenols of industrial importance and stability in oxidative environments, are addressed. The results underscore the necessity for standardized multiassay approaches to precisely assess antioxidant capacity and facilitate targeted polyphenol application in diverse fields. Future research should address the intricate interplay between biomass composition, extraction parameters, and polyphenol functionality to tailor their utilization
The role of gut microbiome in obesity and metabolic dysfunctions: Insights and therapeutic potential
Get PDFObesity is a chronic inflammatory disease defined by an excessive accumulation of body fat. The human gut microbiota (GM) is an intricate ecosystem of microorganisms living symbiotically within the gastrointestinal tract and has emerged as a key player in health and metabolic diseases. Recently, several studies have increasingly revolved around understanding the specific compositions and strains of GM and their potential impact on obesity. This review provides a summary of the most recent findings regarding obesity and newly developed therapies that show exceptional efficacy in treating this condition. In addition, it explores different GM strains that may contribute to the progression and development of obesity. This article summarizes the molecular insights involved in the relationship between obesity and GM, the characteristics of this ecosystem, and its involvement in human metabolism, energy balance, and inflammation leading to obesity. Furthermore, it examines the bacteria most engaged in managing obesity. These findings contribute to a better understanding of this significant and intricate relationship, ultimately aiding in obesity prevention
Die Umlenkung der Peptidspaltung führt zur Protease‐Inaktivierung
No full textCystein- und Serinproteasen spalten Peptide mittels kovalenter Katalyse, wobei zwischenzeitlich ein Addukt mit dem N-terminalen Teil des Substrates gebildet wird, nachdem der C-terminale Anteil freigesetzt wurde. Wir zeigen, dass die Umlenkung dieses Ereignisses zu ausgeprägter Enzym-Inaktivierung führt. Für das Zielenzym Cathepsin B, eine therapeutisch wichtige humane Cysteinprotease, wurden maßgeschneiderte Peptidomimetika mit verschiedenen, auf den occluding loop ausgerichteten Dipeptid-Fragmenten entworfen und mit unterschiedlichen N-terminalen Carbamat-Kopfgruppen ausgestattet. Die durch das Cystein-Thiolat des aktiven Zentrums katalysierte Carbamat-Deprotonierung initiiert die umgelenkte Spaltung, der zufolge der C-terminale Teil des Inhibitors kovalent mit der Protease verbunden bleibt. Die Hydrolyse solcher Carbamoyl-Enzyme wird katalytisch nicht unterstützt, was zu irreversibler Hemmung führt. Dieser neue Mechanismus sollte das Angebot kovalenter Wirkstoffe maßgeblich zu erweitern helfen
Allgemeine Chemie für Dummies
No full textDie Chemie ist in zahlreiche Teilgebiete gegliedert, doch gewisse Grundlagen braucht jeder Chemiker, denn nur auf einem guten Fundament lässt sich komplexeres Wissen aufbauen. Stefanie Ortanderl und Ulf Ritgen erklären Ihnen in diesem Buch verständlich, aber detailliert und mit vielen Beispielen die nötigen Basics. Von chemischen Bindungen über Stöchiometrie und Nomenklatur bis Komplexchemie ist alles dabei - und noch viel mehr. So ist dieses Buch die perfekte Vorbereitung auf die höheren Fachsemester und die nächste Klausur kann kommen
Application of Standard HSQC‐ME Pulse Sequence on Benchtop NMR Devices for Quantitative Applications
No full textThe heteronuclear single quantum correlation (HSQC) NMR method is widely used for the structural characterization of complex mixtures. In this study, the application range of multiplicity-enhanced HSQC (HSQC-ME) spectroscopy was broadened to quantitative analysis on low-field NMR devices with standard measurement possibilities. Acquisition parameters such as number of scans and t1 increments as well as repetition time were optimized to achieve the best signal-to-ratio and resolution requiring minimum measurement time. Standardization with internal standard using correction factor and external calibration approaches for active pharmaceutical ingredients/stimulants in pharmaceutical products and dietary supplements showed average absolute bias of 5.0% and 7.7%, respectively. The HSQC-ME NMR spectroscopic method was characterized by measurement uncertainty below 4% and limits of detection below 3 mg/mL for 2-h measurement time. Semiquantitative HSQC-ME analysis of organic acids in e-cigarettes can be performed within the accuracy of 25% at low-field NMR instruments in case of overlap in 1D NMR dimension and in the presence of huge solvent signals