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Comparative Lifecycle Assessment (LCA) Of Tomato Production in Spain and Northern Germany
No full textThe environmental impact of year-round greenhouse vegetable production, particularly in high latitude region such as the Emsland district in Lower Saxony, Germany, has raised concerns. It has latitude 52,362324 and longitude 7,269548 with temperature from 10°C to 25 in summer and temperature ranges from -1°C to 7°C in winter. In this context, two gardens with different
climatic conditions, represented by the gardeners DE from Germany and ES from Spain, were considered. The latter is located at latitude 41,39467 and longitude 2,157998, with summer temperatures ranging from 20 to 30°C and winter temperatures from 10 to 15°C. Greenhouse vegetable production requires significant energy inputs for heating and lighting, particularly
during the winter months. However, the environmental implications of using renewable energy sources like hydroelectricity and the effects of other production strategies on the environment have not been adequately investigated. To address this knowledge gap, a life cycle assessment (LCA) of greenhouse tomato production for year-round production in 2022
has been conducted, including processes from seedling planting in a pre-build greenhouse structure to distribution at two locations: the ES Gardner in Spain and the DE Gardner in Germany. The study used the OpenLCA software and followed the ReCipe 2016 Mid-Point (H) impact assessment methodology. Our analysis revealed that, across the two main production seasons, the highest global warming potential (GW) was observed during year-round production in Spain. The following aspects were discovered to have a significant influence on
the environmental impact: Packaging material, transportation, heating systems, electricity, land usage, and irrigation methods. Overall, it was determined that year-round production in Germany had the least detrimental environmental impact among the examined production types. The use of packaging material, electricity for heating the greenhouse and transportation
was the primary contributor to most of the impact categories. Conversely, the application of fertilizers and manures during extended seasonal and year-round production had a lower environmental impact
A Systematic Review of Rapamycin- Mediated Fetal Hemoglobin Induction via the mTOR Pathway
No full textmTOR inhibitor rapamycin has been observed to induce fetal hemoglobin in patients of β-hemoglobinopathies, a group of disorders in which mutations in the gene responsible β-globin chains results in reduced or malformed RBC production, leading to anemia. The induction of fetal hemoglobin bypasses these mutations, as they are found on the gene responsible for adult hemoglobin. Following birth, the fetal hemoglobin gene is silenced, and the adult gene is activated through a process known as the hemoglobin switch. Rapamycin treatment reverses this hemoglobin switch but the mechanism by which it does so is currently unknown. Rapamycin functions through its inhibition of mTORC1, a protein complex responsible for nutrient- and growth factor-dependent cell growth and proliferation. This literature review seeks to collate existing information on the mTORC1 signalling pathway and the hemoglobin switch, allowing for a specific mechanism by which rapamycin induces fetal hemoglobin through its inhibition of mTORC1 to be hypothesized. Following the literature search, 55 studies on the mTORC1 pathway and 31 studies on the hemoglobin switch were summarized. Using the information gained from this, three hypotheses were put forward for the possible induction mechanism, out of which the primary hypothesis is based on the hemoglobin switching factor KLF1. This was based on the observation that the knockdown of Raptor, a crucial component of mTORC1, in mice caused a decreased expression of KLF1. As KLF1 is an essential component of the hemoglobin switch, this provides a direct link between the inhibition of mTORC1 and the reversal of the hemoglobin switch. Additionally, the efficiency of rapamycin in comparison to other methods of fetal hemoglobin was discussed, including newer generations of mTOR inhibitors developed using rapamycin as a foundation. Finally, possible avenues of research to confirm the validity of the proposed hypotheses and to address points of ignorance within each topic were discussed
Chrono-Nutrition: Zusammenhang der Nahrungsaufnahme und Schlafqualität bei gesunden Erwachsenen
No full textHintergrund:
Die Inzidenz von Schlafstörungen ist in Deutschland in den letzten Jahren stark gestiegen. Entgegen aktuellen Ernährungsempfehlungen sind vom Effizienzgedanken getrieben unnatürliche Ernährungsmuster entstanden. Das Frühstück wird übersprungen, schnelle Mahlzeiten über den Tag verteilt und große Mahlzeiten am Abend verzehrt. Eine Anpassung der Lebens- und Essgewohnheiten an den zirkadianen Rhythmus des Sonnenlichts kann in der Theorie zu einer Verbesserung der Schlafqualität führen. Lösungsansätze der Chrono-Nutrition wie das frühzeitliche intermittierende Fasten (eTRE), haben bereits nachweislich positive Vorteile für die metabolischen Gesundheit gezeigt. Ein eindeutig positiver Einfluss auf den Schlaf ist jedoch noch umstritten und der Zusammenhang zur Tageszeit wurde ebenfalls unzureichend untersucht.
Methodik:
Es wurde eine einwöchige Online-Befragung unter gesunden Erwachsenen bis 59 Jahren, ohne Schichtarbeit durchgeführt. Die Fragen bezogen sich auf die Tages- und Ernährungsgewohnheiten sowie der subjektiven Schlafqualität bzw. -dauer.
Ergebnisse:
225 TN haben erfolgreich an der Befragung teilgenommen und wurden ausgewertet. Es wurden ein signifikant positiver Einfluss der Regelmäßigkeit der Nahrungsaufnahme und ein signifikant negativer Einfluss der Nahrungsaufnahme innerhalb der letzten Stunde vor der Schlafenszeit auf die Schlafqualität festgestellt.
Zusammenfassung:
Zusammenfassend kann gesagt werden, dass die Regelmäßigkeit der Nahrungsaufnahme und die letzte Mahlzeit einen größeren Effekt auf die Schlafqualität aufweisen als die erste Mahlzeit des Tages
The Impact of Planted Green Facades on Biodiversity and Tem perature in the immediate Surroundings of urban Buildings
No full textPeople and nature are affected by climate change in different ways. The effects of diminishing green spaces, increasing sealed spaces, and higher summer temperatures are particularly noticeable in built-up and urban areas. The constant use of land and development means that insect habitats, which are essential to a functioning ecosystem, are being lost. But this development is not only problematic for insects: increased sealing also increases the potential risk of the heat island effect, which poses a threat to human health.
One possible solution for providing habitat and food for insects in urban areas could be green façade systems. These could partially restore ecosystem services lost to development and have a positive effect on ambient temperature through shading of the building and evaporation from the plants.
In order to measure this effect of façade greening on the environment, in particular on insect diversity and insect population, this work measured the number of insects using two different counting methods over several days on two external façades, one with façade greening and one without. In addition, to determine the effect of the green façade on the ambient temperature, the temperature was measured at different parts of the façades at both measurement locations.
The result of the work is that the façade with plants has a significantly higher insect biodiversity and insect density than the façade without plants. Temperatures are cooler, in most cases, on a green façade. However, they are not particularly significant and show large fluctuations. The paper also outlines a possible way of analysing demand and developing a possible sales concept
Investigating plant diversity in former industrial areas converted to green spaces, namely in Zechenpark and Landschaftspark Duisburg-Nord
No full textThe initiative to redevelop former industrial sites into green spaces offers a compelling opportunity to restore biodiversity in urban areas. Within the context of Zechenpark, formerly known as the Bergwerk West, in Kamp-Lintfort and the Landschaftspark Duisburg-Nord as case studies, these locations serve as prime examples of reclamation efforts. Both locations now stand as emblematic sites undergoing transformation from industrial ruins to ecologically vibrant zones. This thesis evaluates the diversity of flowering plant species in the two locations: Zechenpark and Landschaftspark, including a comparison of cultural landscape-orientated ecosystems in the traditional parks and the biodiversity growing on more post-industrial structures. The plant species composition of the biodiversity plots of the 2022 Sowing Campaign (Einsaat-Aktion 2022) by the Förderverein Landesgartenschau (LaGa) were analyzed using biodiversity indices, as well as the species composition of Landschaftspark Duisburg-Nord. A statistically significant correlation was observed between the number of individuals of flowering plants and the number of insects in Zechenpark, as determined by Spearman's rank correlation coefficient (Rs = 0.75, p < 0.05). This study offers valuable insights that could contribute to enhancing plant diversity within urban parks, thereby supporting the advancement of sustainable urban development.Die Initiative zur Umnutzung ehemaliger Industriestandorte in Grünflächen bietet eine vielversprechende Möglichkeit zur Wiederherstellung der biologischen Vielfalt in städtischen Gebieten. Der Zechenpark, ehemals Bergwerk West, in Kamp-Lintfort und der Landschaftspark Duisburg-Nord dienen als Fallbeispiele für die Bemühungen um die Wiederherstellung der biologischen Vielfalt. Beide Standorte sind heute symbolträchtige Orte, die sich im Umwandlungsprozess von Industrieruinen zu ökologisch lebendigen Zonen befinden. In dieser Arbeit wird die Vielfalt der Blütenpflanzenarten an den beiden Standorten untersucht: Zechenpark und Landschaftspark, einschließlich eines Vergleichs der kulturlandschaftlich-orientierten Ökosysteme in den traditionellen Parkanlagen und der biologischen Vielfalt, die auf eher post-industriell geprägten Strukturen wächst. Die Pflanzenartenzusammensetzung der Biodiversitätsflächen der Einsaat-Aktion 2022 des Fördervereins Landesgartenschau (LaGa) wurde mit Hilfe von Biodiversitätsindizes analysiert, ebenso wie die Artenzusammensetzung des Landschaftsparks Duisburg-Nord. Es wurde ein statistisch signifikanter Zusammenhang zwischen der Individuenzahl der Blütenpflanzen und der Anzahl der Insekten im Zechenpark festgestellt, der durch den Spearman's Rangkorrelationskoeffizienten (Rs = 0,75, p < 0,05) bestimmt wurde. Diese Studie liefert wertvolle Erkenntnisse, die dazu beitragen könnten, die Pflanzenvielfalt in städtischen Parks zu erhöhen und damit die nachhaltige Stadtentwicklung voranzutreiben
Analyzing Customer Behvior Patterns & Predicting Online Product Return Intentions: A Data Mining Approach
No full textDuring the past years, it is noticeable that the e-commerce industry has emerged drastically, offering accessibility to a variety of products to the customer where they can buy products from the comfort of their home. However, it is associated with a lot of new challenges for e-commerce businesses, particularly in understanding and managing the customer behavior patterns with the rising online product returns. Since the accessibility of online shopping has risen, assessing the critical factors related to product return and prediction has become a really challenging task for e-commerce vendors. This study also aims to segment the customers based on customer behavior prediction into two categories, i.e., high return risk and low return risk customers, and further develop strategies to reduce the online returns.
This study is rather structured into four integral parts, where each part provides the comprehensive analysis. The first aspect involves analyzing and identifying the customer behavior patterns leading to product returns. The second aspect predicts the online product return based on selected features and the third is to segment the customers based on online product return prediction and categorize them into high return risk, and low return risk customers. The final step involves development of strategies to reduce the product return based on the intense analysis conducted.
To achieve this meaningful research outcome, data analysis is conducted to understand the customer behavior patterns, and a Random Forest feature selector is used to identify the customer behavior patterns that lead to product return. Based on the identified features, classification models were applied to classify and predict whether the customer is going to return product or not. Furthermore, in these seven classification models such as Logistic Regression, Ada Boost, Decision Tree, Naive Bayes, XG Boost, K-Nearest Neighbors, and Random Forest were implemented and used to compare the performance of the classification models to find out the best performing model. Lastly, the segmentation of customers is carried out based on the online product prediction using Logistic regression with classification threshold method into high return risk and low return risk customer categories.
The results obtained help in understanding the customer behavior and reduce the online product return by developing the strategies. This study will eventually help the online businesses in reducing returns which will also enhance the customer satisfaction
04/2024 Dritte Änderungssatzung zur Prüfungsordnung für den Bachelorstudiengang Mechanical Engineering B.Sc. der Fakultät Technologie und Bionik an der Hochschule Rhein-Waal vom 09.04.2024
No full text05/2024 Vierte Änderungssatzung zur Rahmenprüfungsordnung für die Bachelor- und Masterstudiengänge an der Hochschule Rhein-Waal vom 02.04.2024
No full text06/2024 Erste Änderungssatzung zur Ordnung zur Feststellung der studiengangsbezogenen künstlerisch-gestalterischen Eignung für den Masterstudiengang Design and Interaction der Fakultät Kommunikation und Umwelt vom 20.03.2024
No full textVerbesserung der Nutzbarkeit von Open Data-Portalen: Analyse, Schwachstellenidentifikation und Prototypentwicklung
No full textDiese Arbeit untersucht die Verbesserung der Benutzerfreundlichkeit von Open Data-Portalen durch nutzerzentrierte Designansätze. Durch die Entwicklung eines Prototyps werden spezifische Funktionen wie intuitive Suchmechanismen, fortschrittliche Analysetools und KI-Integration, exemplarisch durch ChatGPT, evaluiert. Besonders hervorgehoben wird die Bedeutung sozialer Interaktionsmöglichkeiten, die eine Gemeinschaft rund um die Daten fördern und die Datenqualität durch Nutzerfeedback steigern. Die Evaluierungsergebnisse zeigen eine deutliche Zufriedenheitssteigerung der Nutzenden, was das Potenzial dieser Ansätze unterstreicht. Die Arbeit bildet eine Grundlage für die kontinuierliche Entwicklung und Forschung im Bereich Open Data, um deren Nutzbarkeit und den demokratischen Nutzen zu maximieren.This thesis examines the enhancement of the usability of open data portals through user-centred design approches. The development of a prototype enables the evaluation of specific features, including intuitive search mechanisms, advanced analytics tools and AI integration, exemplified by ChatGPT. The significance of social interaction options that foster a community around the data and enhance data quality through user feedback is emphasised. The evaluation results demonstrate a notable enhancement in user satisfaction, which underscores the potential of these approaches. The work serves as a foundation for continuous development and research in the field of open data, with the objective of optimising its usability and democratic benefits