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A Descriptive Study on Customer Attitudes towards Green Branding in the Fashion Industry in Germany
(2021)
This paper attempts to provide an up-to-date representation and analysis of customers' attitudes towards green branding in the fashion industry and their willingness to pay (WTP) for sustainable and ethical clothing in Germany. Related literature strands are reviewed to understand how the fashion industry works, what green branding means, and how customer attitudes are shaped. After creating an attitude measurement model, an online questionnaire was designed and sent to Furtwangen University students, with 153 valid responses returned. The descriptive analysis sheds light on the three attitudinal components related to sustainability and ethics in the fashion industry. It is noted that customers do not hold a definite attitude. However, a tendency towards the positive end is ascertained. Significant gaps still exist in terms of knowledge and awareness of some commitment by fashion brands. Another huge factor influencing attitudes appears to be a lack of trust. The behavioral component showed that customers are trying to contribute through proper disposal and are willing to buy sustainable and ethical clothing more often. However, there is still some room for improvement in terms of customer education. Nevertheless, it is found that they are willing to accept an additional contribution for sustainable and ethical clothing. In general, it can be concluded that there is a foundation to improve the fashion industry towards more sustainability. However, all stakeholders, i.e., customers and fashion brands, as well as the government, need to work together to change the industry in the long run.
Additives and polymer composition influence the interaction of microplastics with xenobiotics
(2021)
Akka Cluster
(2021)
Akka Cluster ist ein Framework, das die Entwicklung verteilter Systeme ermöglicht. In dieser Arbeit wird der Funktionsumfang von Akka Cluster untersucht, ein Teilbereich des Frameworks Akka. Gegenstand der Analyse ist ein einfacher, mit Akka aufgesetzter Cluster, um anschließend Funktionen wie Singletons, Sharding, verteilte Daten und Mechanismen zur Fehlertoleranz zu untersuchen. Dabei wird auch versucht, unter die Abstraktionsschicht zu schauen, die Akka Cluster bietet. Dies gibt unter anderem ein klareres Bild, wie umfangreich die Entwicklung verteilter Systeme ist. Durch Monitoring soll anschließend ein Überblick über einen Cluster gegeben werden, welcher über eine REST-Schnittstelle auch anderweitig verwaltet werden kann.
Sustainability, encompassing the economy, the environment, and society in equal parts, is an increasingly prominent topic that is gaining in importance and awareness due to the climate crisis and the resulting urgent need for action. It is essential to simultaneously focus on the global and on the local scale in order to create a paradigm shift. This study addresses the attitude-behavior gap of employees in the daily operations within companies and evaluates how nudges can be implemented to narrow this gap. A literature review was conducted to understand the separate topics of sustainability, the attitude-behavior gap, and nudging. Based on these three topics and their interrelation, exemplary nudges on habits and on infrastructure to be applied in a company and modified to its needs are developed. The method of implementation of nudges cannot be generalized because (1) attitudes and behavior and their interrelation are individual and influenceable factors and (2) the corporate context and how nudges are communicated impact the effectiveness of the interventions. Investing in internal sustainability practices in combination with indispensable external practices leads companies to a holistic, authentic, and successful approach towards becoming a sustainable business.
Keywords: Attitude-Behavior Gap, Nudging, Corporate sustainability
The present research sought to deepen the debates about how the collector of recyclable material, a subject that has built his political resistance in the Brazilian scenario from the process of re-signification of garbage and his profession. Its empowerment observed from the end of the 20th century was concomitant with the growth of environmental discussions and the strengthening of the solidarity economy as an alternative for economic emancipation in Brazil. In this context, the individual who used to live on the margins of society established himself as a fundamental factor in the recycling chain and became an environmental agent. The question that guided the investigation was "how has the pandemic influenced waste pickers' solidarity organizations, given their challenges and opportunities?". In this context, two specific objectives were determined to be answered in the course of the research. The first sought to understand the relationship between the solidarity economy and the formation of waste picker collectives; the second aimed to identify the challenges and opportunities that could arise from these solidarity organizations' experiences. A vast theoretical analysis was conducted to understand the
foundations of the Solidarity Economy, an alternative to the informal economy and a form of economic empowerment especially considered for vulnerable populations, as a
way to include them economically. Using the case study of Belo Horizonte, a city with a history of alternative economic expressions and strengthened waste pickers' movements, we approached various actors of the recycling chain through qualitative research, using
the in-depth interviews approach.
Among other findings, the research noted that one of the greatest challenges of the post-pandemic Solidarity Economy is related to the expansion of the capitalist market to areas traditionally aggregated by the Solidarity Economy, because they were previously considered to be on the “margins of society”. However, these threats also
give room for opportunities, from responses that reinforce the legitimacy of cooperatives and associations, through their contractual adequacy with the City Hall for
the payment of the environmental service rendered, disconnected from the number of solid waste collected. We have learned that in the daily struggles and achievements of
the waste pickers, challenges and opportunities go hand in hand.
Das Streben des Menschen nach persönlichem Wohlbefinden steigt mit dem Wohlstand – die aktuelle Pandemiezeit wirkt hier stark beschleunigend. Den Traum von einem eigenen Wellnessbereich im privaten Heim erfüllen sich immer mehr Privatpersonen.
In der vorliegenden Arbeit wurde der Geschäftsprozess der Saunafertigung untersucht. Dabei lag der Fokus der Analyse auf den einzelnen Prozessschritten des Fertigungsprozesses hinsichtlich Zeit, Material, Maschine und Mensch. Die herausgearbeiteten Optimierungsansätze orientieren sich dabei an dem magischen Dreieck und der Digitalisierung.
Es zeigte sich, dass viele Prozessschritte noch händisch und in Papierform durchgeführt werden. Der technisch bereits mögliche Einsatz von digitalbasierten Schritten ist nicht in vollem Umfang ausgeschöpft. Für eine effiziente zukunftsorientierte Prozessgestaltung ist die weitere Digitalisierung unerlässlich.
This paper deals with the constructive adaptation of an existing mechanical single-jet valve meter (valve meter driven only by a water jet) for the realisation of a digital system. For this purpose, an existing mechanical single-jet valve meter system is constructively adapted in such a way that the existing mechanical counter can be replaced by an existing digital counter. Subsequently, the measuring behaviour of the newly created meter system is examined on a testing bench
While the number of devices connected together as the Internet of Things (IoT) is growing, the demand for an efficient and secure model of resource discovery in IoT is increasing. An efficient resource discovery model distributes the registration and discovery workload among many nodes and allow the resources to be discovered based on their attributes. In most cases this discovery ability should be restricted to a number of clients based on their attributes, otherwise, any client in the system can discover any registered resource. In a binary discovery policy, any client with the shared secret key can discover and decrypt the address data of a registered resource regardless of the attributes of the client. In this paper we propose Attred, a decentralized resource discovery model using the Region-based Distributed Hash Table (RDHT) that allows secure and location-aware discovery of the resources in IoT network. Using Attribute Based Encryption (ABE) and based on predefined discovery policies by the resources, Attred allows clients only by their inherent attributes, to discover the resources in the network. Attred distributes the workload of key generations and resource registration and reduces the risk of central authority management. In addition, some of the heavy computations in our proposed model can be securely distributed using secret sharing that allows a more efficient resource registration, without affecting the required security properties. The performance analysis results showed that the distributed computation can significantly reduce the computation cost while maintaining the functionality. The performance and security analysis results also showed that our model can efficiently provide the required security properties of discovery correctness, soundness, resource privacy and client privacy.
Das Ziel des vorliegenden Forschungsprojektes war es, eine kostengünstige, aber effektive und flexible Automatisierungsmaßnahme für Fräsbauteile einzurichten. Dadurch sollte der Mitarbeiter entlastet und für anderweitige Tätigkeiten eingesetzt werden, um durch diesen Aspekt zeitgleich Kosten einzusparen. Zudem musste die Lösung für zukünftige Optimierungen und Veränderungen an der Maschine ausgelegt sein. Durchgeführt wurde das Forschungsprojekt an einer 3-Achs CNC-Fräsmaschine (Chiron Mill 2000). Die Automatisierung bezieht sich auf die Entnahme von unterschiedlich langen Werkstücken (76 bis 400 mm), deren Abtransport aus dem Maschinenumfeld sowie das Nachschieben des Rohmaterials. Um eine zielgerechte Lösung zu finden, wurden Methoden wie der morphologische Kasten herangezogen. Es entstand eine einfach handhabbare und kosteneffiziente Lösung mit einem Transportband, einem pneumatisch beaufschlagten Spindelgreifer und einem profilgenauen, konstruiertem auf den Greifer montierbaren Fingerpaar. Mit dem Forschungsprojekt wurde eine deutliche Steigerung der Eingriffszeit durch einen Mitarbeiter ermöglicht, wobei aber die Prozesszeit für einen Zyklus angestiegen ist. Zudem konnten die Kosten für die Produktion der Bauteile deutlich gesenkt werden. Durch die Automatisierungslösung konnte der Werker von monotonen Arbeitsgängen befreit und für stärker wertschöpfende Tätigkeiten gewonnen werden.
Biosynthesis of iron oxide magnetic nanoparticles using clinically isolated Pseudomonas aeruginosa
(2021)
Comparison of a histology based multi layer artery model to its simplified axisymmetric model
(2021)
Comparison of Geometrical Lung Models to Calculate Tidal Volumes during Spontaneous Breathing
(2021)
Cross-cultural adaptation and validation of the German Central Sensitization Inventory (CSI-GE)
(2021)
In dem vorliegenden Beitrag wird der aktuelle Trend, Payas-you-live-Systeme (PAYL) in Verbindung mit Krankenversicherungen anzubieten, analysiert. PAYL-Systeme bedeutet konkret die kontinuierliche Erfassung von Gesundheitsdaten mithilfe technischer Geräte und Übermittlung dieser Daten an Versicherungen sowie die Auszahlung von Boni für erreichte Fitnessziele. Zunächst wird eine Definition von PAYL-Systemen dargelegt, dann werden die technischen Rahmenbedingungen erläutert, schließlich werden die Auswirkungen dieser soziotechnischen Systeme näher beleuchtet. Dies geschieht auf Grundlage unserer empirischen Untersuchung. Die drei identifizierten Hauptkonflikte betreffen die Genese von PAYL, seine Auswirkungen auf den Wert der Datensouveränität besonders für Versicherte und die Schwierigkeit, für den Anspruch auf Prävention und Kostenersparnis durch PAYL Evidenz zu erzeugen. Diese Konflikte werden diskutiert, um sowohl die direkten wie auch indirekten Auswirkungen der Digitalisierung und der Ökonomisierung des Sozialen durch PAYL zu beleuchten.
Demethylating therapy increases anti-CD123 CAR T cell cytotoxicity against acute myeloid leukemia
(2021)
Nowadays, machine learning projects have become more and more relevant to various real-world use cases. The success of complex Neural Network models depends upon many factors, as the requirement for structured and machine learning-centric project development management arises. Due to the multitude of tools available for different operational phases, responsibilities and requirements become more and more unclear. In this work, Machine Learning Operations (MLOps) technologies and tools for every part of the overall project pipeline, as well as involved roles, are examined and clearly defined. With the focus on the inter-connectivity of specific tools and comparison by well-selected requirements of MLOps, model performance, input data, and system quality metrics are briefly discussed. By identifying aspects of machine learning, which can be reused from project to project, open-source tools which help in specific parts of the pipeline, and possible combinations, an overview of support in MLOps is given. Deep learning has revolutionized the field of Image processing, and building an automated machine learning workflow for object detection is of great interest for many organizations. For this, a simple MLOps workflow for object detection with images is portrayed.
A major problem in the automotive sector is dealing with used hydraulic oil. Since this oil loses its purity over time, it must be changed. In most cases, the condition of the oil is not really checked, but is changed after a certain number of kilometers. It is possible that intact hydraulic oil is wasted in the process. Until now, there is no cost-effective method to check the purity on hydraulic oils, so there is nothing left but to remove all of the oil. The purpose of this work is to develop a measuring station for a MEMS-based oil quality sensor. With the help of the oil quality sensor, deviations of aged hydraulic oils shall be investigated. An infrared light source and a Fabri-Perot spectrum sensor will be used for more accurate detection of deviations in aged hydraulic oil. The goal is to clarify whether it is possible to use wavelength spectra to detect differences in aged hydraulic oil. To do this, a suitable Fabri-Perot spectrum sensor and a light source with the appropriate wavelength range were carefully selected. Furthermore, a measurement setup for static measurements was worked out. Subsequently, measurements were carried out with and without hydraulic oil and the measured data was compared with reference data. Finally, differences in the aged hydraulic oil could be determined by means of light wave measurements.
Differences in the perception and their effects on the implementation of organizational agility
(2021)
This thesis paper investigates the differences in organizational agility implementation and links practical approaches to complex theory. Several agile transformations have been studied to provide an overview of the common guidelines that foster agile working. In alignment with the ambivalence of agility, the results show that a symbiotic mixture of bottom- up and top-down features in the application is required. Especially in traditional organizations, where hierarchical structures prevail, the practical implementation requires the approval of managers and the active involvement of employees to be successful. Additionally, companies cannot apply a uniform approach to achieving agile but must alter practices to fit their specific needs. Consequently, this paper can be particularly beneficial to companies attempting an agile change.
The topic of traditional fashion retailers fighting for their position against growing e-commerce suppliers has been omnipresent in recent years. Therefore, it is important to understand what possibilities modern technology and innovation has to offer, and how these innovative technologies can be leveraged to achieve traditional brick-and-mortar-retailer’s goal of staying relevant and competitive.
The objective of this thesis is to examine and compare the effectiveness of different in-store digitalization concepts and technologies in retail organisations, analyzing different challenges such as the practical implementation in stores, customer adoption and acceptance factors in context of socio-demographic, and measuring the success of the concepts. Also, the current situation will be explored to see what is already being done today and where there is more potential using different approaches and technologies. For this purpose, a variety of studies, papers and other literature will be analyzed and put into context with the research topic.
Concluding the thesis, we find that all technologies and its practical applications affect relevant variables in different models such as TAM, the convenience/social presence model, and the customer decision-making process. Besides that, the socio-demographic variables geography, age and gender all influence adoption and readiness towards technology to a certain extent. Finally, we give examples on how the technologies can influence classic fashion retail KPIs.
Do Meat-Eating Consumers Use Organic Meat to Rationalize the Consumption of Conventional Meat?
(2021)
This thesis explores how meat-eating consumers may be able to rationalize the consumption of conventional meat by believing to substitute a certain amount of it for organic meat. The underlying rationale is that the positive associations elicited by the organic label and the favorable beliefs consumers have formed about organic meat enable them to use it as a moral license. Building on cognitive dissonance theory, this work specifically investigated whether (1) meat-eaters perceive organic meat better than vegetarians and (2) meat-eaters overestimate how much organic meat they consume. German meat-eating and vegetarian participants were recruited for a study (n=156) to answer these questions. The results show, first, that organic was generally rated as better than conventional meat on all dimensions surveyed, and to a greater extent by meat-eating than by vegetarian respondents. Second, meat-eating participants on average reported estimates of organic meat consumption that were significantly higher than the population mean, indicating that consumers may not eat as much organic meat as they believe. Overall, the findings of this study suggest that organic meat might be used to rationalize unsustainable food choices.