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Towards a Metacognitive Accuracy Training in Military Education
Over- and under-confidence in uncertain and volatile conditions often encountered by military personnel may lead to suboptimal high impact decitions. We investigated the relation between the metacognition accuracy of cadets‘ performance in a technical IT subject and their observed and measured behaviour characteristics: learning outcomes, knowledge of meta-cognitive strategies, emotional states, time spent for studies, and overall satisfaction with the course and their own efforts. Growth of IT knowledge of a group of 19 cadets who received metacognition training during a three-week long IT course significantly exceeded the results of a control group. Their metacognitive accuracy changed from over-confidence to a moderate under-confidence towards the end of the course, although the relation between the accuracy and the final grade did not differ significantly from random data
Beschichtungen aus Alginat und Molkenprotein zur Reduzierung der Sauerstoffdurchlässigkeit von PLA/PBSA Folien/Verpackungen (Poster)
Application of intervention mapping in cybersecurity education design
Education in Cybersecurity is considered one of the key challenges facing the modern digitized world. Several frameworks, e.g., developed by NIST or ENISA, have defined requirements for cybersecurity education but do not give recommendations for their development. Developing appropriate education offerings need to incorporate theory-based approaches that are evidence supported. Adopting the Intervention Mapping paradigm, we propose an educational framework incorporating validated theoretical and evidence-based approaches to cybersecurity education encompassing stakeholders' input, identified competency needs, and how to implement and evaluate learning outcomes. This paper presents a case study of how Intervention Mapping can be used to help design cybersecurity education, discuss challenges in educational and professional aspects of cybersecurity, and present an applied educational approach based on Intervention Mapping and its evaluation
Konzeption und Aufbau einer Trainingsinfrastruktur für virtuelle Sensoren
Im Rahmen des Forschungsprojekts KI-VISOPRO (Entwicklung KI-basierter virtueller Sensoren zur Prozesssteuerung) wurde ein Sensorsystem entwickelt, welches komplexe Prozessgrößen bestimmen kann, die mit herkömmlichen Sensoren nicht trivial messbar sind. Hierzu wurde ein Ansatz der künstlichen Intelligenz gewählt, der dem supervised Deep Learning zuzuordnen ist. Ein essenzieller Bestandteil des Projektes ist der Aufbau und die Inbetriebnahme eines Demonstrators zum strukturierten Sammeln der Prozess- und Sensordaten mittels eines Enterprise Resource Planning (ERP) Systems. Die ermittelten Prozessgrößen können dabei auch wieder in den Prozess und das ERP-System zurückgespielt und dort zur Prozesssteuerung oder der Optimierung von Prozessschritten und -parametern verwendet werden
Olive byproducts and their bioactive compounds as a valuable source for food packaging applications
AbstractAmong the most important agro‐industrial activities in the Mediterranean basin, olive oil production has a high impact on the economy of many Mediterranean countries. However, olive oil extraction generates huge quantities of byproducts, including leaves, pomace residues, stones and wastewater, which have severe environmental impacts mainly because of their phytotoxicity and great organic content. Olive oil byproducts are regarded as inexpensive and abundant raw materials rich in bioactive compounds with high and varied health‐related activities. Several phenolic compounds and terpenoids were recovered from olive byproducts using different conventional and advanced extraction methods due to their potential to be used in food, packaging, pharmaceutical, and cosmetic industries. Recently, the use of olive byproducts and their functional compounds to enhance the functional properties of packaging systems was investigated as a sustainable strategy for food preservation, fostering the sustainability of the olive‐oil chain, and promoting circular economy. In this framework, the main goals of this review are to summarize the main bioactive compounds in olive byproducts, to review the main advancements in their extraction, purification, and characterization, and finally to discuss their applications in food packaging systems as well as safety‐related aspects
A glutamate receptor C-tail recruits CaMKII to suppress retrograde homeostatic signaling
AbstractPresynaptic homeostatic plasticity (PHP) adaptively enhances neurotransmitter release following diminished postsynaptic glutamate receptor (GluR) functionality to maintain synaptic strength. While much is known about PHP expression mechanisms, postsynaptic induction remains enigmatic. For over 20 years, diminished postsynaptic Ca2+ influx was hypothesized to reduce CaMKII activity and enable retrograde PHP signaling at the Drosophila neuromuscular junction. Here, we have interrogated inductive signaling and find that active CaMKII colocalizes with and requires the GluRIIA receptor subunit. Next, we generated Ca2+-impermeable GluRs to reveal that both CaMKII activity and PHP induction are Ca2+-insensitive. Rather, a GluRIIA C-tail domain is necessary and sufficient to recruit active CaMKII. Finally, chimeric receptors demonstrate that the GluRIIA tail constitutively occludes retrograde homeostatic signaling by stabilizing active CaMKII. Thus, the physical loss of the GluRIIA tail is sensed, rather than reduced Ca2+, to enable retrograde PHP signaling, highlighting a unique, Ca2+-independent control mechanism for CaMKII in gating homeostatic plasticity
Recovery of reduced thiol groups by superoxide-mediated denitrosation of nitrosothiols
Nitrosation of critical thiols has been elaborated as reversible posttranslational modification with regulatory function in multiple disorders. Reversibility of S-nitrosation is generally associated with enzyme-mediated one-electron reductions, catalyzed by the thioredoxin system, or by nitrosoglutathione reductase. In the present study, we confirm previous evidence for a non-enzymatic de-nitrosation of nitrosoglutathione (GSNO) by superoxide. The interaction leads to the release of nitric oxide that subsequently interacts with a second molecule of superoxide (O2•-) to form peroxynitrite. Despite the formation of peroxynitrite, approximately 40-70% of GSNO yielded reduced glutathione (GSH), depending on the applied analytical assay. The concept of O2•- dependent denitrosation was then applied to S-nitrosated enzymes. S-nitrosation of isocitrate dehydrogenase (ICDH; NADP+-dependent) was accompanied by an inhibition of the enzyme and could be reversed by dithiothreitol. Treatment of nitrosated ICDH with O2•- indicated ca. 50% recovery of enzyme activity. Remaining inhibition was largely consequence of oxidative modifications evoked either by O2•- or by peroxynitrite. Recovery of activity in S-nitrosated enzymes by O2•- appears relevant only for selected examples. In contrast, recovery of reduced glutathione from the interaction of GSNO with O2•- could represent a mechanism to regain reducing equivalents in situations of excess O2•- formation, e.g. in the reperfusion phase after ischemia
Laboratory Automation: (Un)solved problem of small and medium-sized enterprises
Many of us will relate to this: laboratory automation comes with benefits like quality and efficiency improvements; however, manufacturers make laboratories pay dearly for that. Thus, for small and medium-sized enterprises (SMEs), high investments in laboratory automation often do not pay off, since laboratory automation
must be cost-effective and flexible to use. Does this even exist on the market – a flexible and user-friendly laboratory automation system that also fits into the budget