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Commuter Zone : Rückzugsort für Pendelnde zum Ausgleich ihrer Reisezeit
No full textDie „Commuter Zone“ setzt sich mit dem Zeitverlust Pendelnder auseinander. Berufliche Ziele treiben immer mehr Menschen an, längere Strecken zurückzulegen. Dabei büßen sie den Zeitaufwand an privater Stelle ein. Als Rückzugsort für Alleinreisende schafft die „Commuter Zone“ ein effektiv nutzbares Zeitfenster. Dazu wird die Rücksichtnahme der Routinierten zueinander genutzt und gefördert. Sitz- und Arbeitsflächen lassen sich zurückklappen und erleichtern das Aussteigen. Der begrenzte Raum wird intensiv genutzt. So entsteht Komfort durch die Zuversicht, einen Sitzplatz zu erhalten. Und dank der Zusammensetzung der Sitzkonstellation bleibt das Arbeitsgeschehen privat. Letztlich bietet die „Commuter Zone“ den zunehmend selbstbestimmenden Beschäftigten neue Möglichkeiten zur Arbeitseinteilung und schafft Qualitätszeit im Privaten
Aachener Online-Schriften Wirtschaft und Recht. Band 6. 01/2023
No full textInhaltsverzeichnis - Bachelorarbeiten
1. Zukunft der Rente – Kann eine Erwerbstätigenversicherung das
demografische Problem nachhaltig lösen?
- Marcel Sept | Seite 4-73
2. Die versammlungsgebundenen Aktionärsrechte in der neuen
virtuellen Hauptversammlung – eine Bewertung aus Unternehmer- und Aktionärssicht
- Christina Zillinger | Seite 74-130
3. Praxisleitfaden für den Arbeitgeber zum gesetzlichen
Sonderkündigungsschutz – Was muss der Arbeitgeber tun, um durch
Gesetz besonders geschützten Arbeitnehmern kündigen zu können?
- Johanna Wiechert | Seite 131-195
4. Die Steuervergünstigung bei Umstrukturierungen im Konzern nach
§ 6a GrEStG im Lichte der aktuellen Rechtsprechung
- Marius Thelen | Seite 196-26
New robust subtilisins from halotolerant and halophilic Bacillaceae
No full textThe aim of the present study was the characterisation of three true subtilisins and one phylogenetically intermediate subtilisin from halotolerant and halophilic microorganisms. Considering the currently growing enzyme market for efficient and novel biocatalysts, data mining is a promising source for novel, as yet uncharacterised enzymes, especially from halophilic or halotolerant Bacillaceae, which offer great potential to meet industrial needs. Both halophilic bacteria Pontibacillus marinus DSM 16465ᵀ and Alkalibacillus haloalkaliphilus DSM 5271ᵀ and both halotolerant bacteria Metabacillus indicus DSM 16189 and Litchfieldia alkalitelluris DSM 16976ᵀ served as a source for the four new subtilisins SPPM, SPAH, SPMI and SPLA. The protease genes were cloned and expressed in Bacillus subtilis DB104. Purification to apparent homogeneity was achieved by ethanol precipitation, desalting and ion-exchange chromatography. Enzyme activity could be observed between pH 5.0–12.0 with an optimum for SPPM, SPMI and SPLA around pH 9.0 and for SPAH at pH 10.0. The optimal temperature for SPMI and SPLA was 70 °C and for SPPM and SPAH 55 °C and 50 °C, respectively. All proteases showed high stability towards 5% (w/v) SDS and were active even at NaCl concentrations of 5 M. The four proteases demonstrate potential for future biotechnological applications
What drives the purchase decision in Instagram stores?
No full textThe popularity of social media and particularly Instagram grows steadily. People use the different platforms to share pictures as well as videos and to communicate with friends. The potential of social media platforms is also being used for marketing purposes and for selling products. While for Facebook and other online social media platforms the purchase decision factors are investigated several times, Instagram stores remain mainly unattended so far. The present research work closes this gap and sheds light into decisive factors for purchasing products offered in Instagram stores. A theoretical research model, which contains selected constructs that are assumed to have a significant influence on Instagram user´s purchase intention, is developed. The hypotheses are evaluated by applying structural equation modelling on survey data containing 127 relevant participants. The results of the study reveal that ‘trust’, ‘personal recommendation’, and ‘usability’ significantly influences user’s buying intention in Instagram stores
A cost/benefit and flexibility evaluation framework for additive technologies in strategic factory planning
No full textThere is a growing demand for more flexibility in manufacturing to counter the volatility and unpredictability of the markets and provide more individualization for customers. However, the design and implementation of flexibility within manufacturing systems are costly and only economically viable if applicable to actual demand fluctuations. To this end, companies are considering additive manufacturing (AM) to make production more flexible. This paper develops a conceptual model for the impact quantification of AM on volume and mix flexibility within production systems in the early stages of the factory-planning process. Together with the model, an application guideline is presented to help planners with the flexibility quantification and the factory design process. Following the development of the model and guideline, a case study is presented to indicate the potential impact additive technologies can have on manufacturing flexibility Within the case study, various scenarios with different production system configurations and production programs are analyzed, and the impact of the additive technologies on volume and mix flexibility is calculated. This work will allow factory planners to determine the potential impacts of AM on manufacturing flexibility in an early planning stage and design their production systems accordingly
Advanced ECMS for hybrid electric heavy-duty trucks with predictive battery discharge and adaptive operating strategy under real driving conditions
No full textTo fulfil the CO2 emission reduction targets of the European Union (EU), heavy-duty (HD) trucks need to operate 15% more efficiently by 2025 and 30% by 2030. Their electrification is necessary as conventional HD trucks are already optimized for the long-haul application. The resulting hybrid electric vehicle (HEV) truck gains most of the fuel saving potential by the recuperation of potential energy and its consecutive utilization. The key to utilizing the full potential of HEV-HD trucks is to maximize the amount of recuperated energy and ensure its intelligent usage while keeping the operating point of the internal combustion engine as efficient as possible. To achieve this goal, an intelligent energy management strategy (EMS) based on ECMS is developed for a parallel HEV-HD truck which uses predictive discharge of the battery and adaptive operating strategy regarding the height profile and the vehicle mass. The presented EMS can reproduce the global optimal operating strategy over long phases and lead to a fuel saving potential of up to 2% compared with a heuristic strategy. Furthermore, the fuel saving potential is correlated with the investigated boundary conditions to deepen the understanding of the impact of intelligent EMS for HEV-HD trucks
Konzerthaus Berlin : Entwicklung eines Erscheinungsbildes für das Konzerthaus Berlin
No full textDas Konzerthaus Berlin ist einer der schönsten Orte Berlins für klassische Musik. Dabei steht das Haus auf der Schwelle zwischen langer Tradition und Moderne. Die Qualität an Musik, die dort gespielt wird, soll dabei für alle zugänglich sein. Dies machen die unterschiedlichsten Konzerte möglich. Um diesen modernen Anspruch auch nach außen zu kommunizieren, wurde ein neues Gestaltungskonzept für das Konzerthaus Berlin entwickelt. Im Fokus des neu entwickelten Corporate Designs steht der Rhythmus Gedanke, welcher sich im Headline Prinzip zeigt sowie medienübergreifend in der Layoutgestaltung durch Groß/Klein Kontraste fortsetzt. Das Erscheinungsbild funktioniert dabei sowohl animiert als auch statisch. Musik wird dadurch visuell erfahrbar gemacht und bildet den modernen Fokuspunkt in der Gestaltung
ECG matching: an approach to synchronize ECG datasets for data quality comparisons
No full textClinical assessment of newly developed sensors is important for ensuring their validity. Comparing recordings of emerging electrocardiography (ECG) systems to a reference ECG system requires accurate synchronization of data from both devices. Current methods can be inefficient and prone to errors. To address this issue, three algorithms are presented to synchronize two ECG time series from different recording systems: Binned R-peak Correlation, R-R Interval Correlation, and Average R-peak Distance. These algorithms reduce ECG data to their cyclic features, mitigating inefficiencies and minimizing discrepancies between different recording systems. We evaluate the performance of these algorithms using high-quality data and then assess their robustness after manipulating the R-peaks. Our results show that R-R Interval Correlation was the most efficient, whereas the Average R-peak Distance and Binned R-peak Correlation were more robust against noisy data
Mikrowellentechnik : Feldsimulation, nichtlineare Schaltungstechnik, Komponenten und Subsysteme, Plasmatechnik, Antennen und Ausbreitung
No full textDas Lehrbuch behandelt alle Aspekte, die den aktuellen Stand der GHz-Technik betreffen. Das Buch behandelt die verschiedenen numerischen Feldsimulationsverfahren. Mit vielen modernen Themen