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There are a number of well-established concepts explaining decision-making. The sociology of wise practice within public administration suggests that thinking preferences like the use of intuition form a cornerstone of public administrators’ virtuous practice. This contribution uses conceptual and theoretical resources from the behavioral sciences and public administration to account for individual level differences of employees with regard to thinking preferences in the public sector. Institutional frameworks and social structures may enable or impede the habituation of virtue. The contribution empirically investigates this proposition with respondents from North America and the European Union. The analysis investigates the behavioral dimension preference for intuition/preference for deliberation. An analysis of data from 333 employees from organizations in North America and 1644 employees from organizations in the EU reveal prevalent differences in the preference for thinking styles. The public and private sector differ significantly in terms of the preference for rational as well as for intuitive thinking. What is exciting is that private employees rank higher than public employees on both scales, whereas the difference in rational thinking shows a small effect and the effect size in regard of intuitive thinking is negligible. We explore possible explanations for such differences and similarities.
The energy transition involves various challenges. One key aspect is the decentralization of power generation, which requires new actors. In order to integrate these into the system in the best possible way, there are various approaches e.g. in cooperation in citizens' initiatives or cooperatives (Dorniok, 2016).
Cooperation in general can enable the implementation of certain business models or can increase profitability by the exploitation of economies of scale (Skovsgaard & Jacobsen, 2017; Theurl, 2010). Synergy effects result from the utilization of know-how, different technologies or resources of the partners involved to complement the own competencies and services (Eggers & Engelbrecht, 2005; Sander, 2009). Cooperation exists in various industries and enable the participating companies to compensate their size-related resource deficits (Glaister & Buckley, 1996; Todeva & Knoke, 2005). This creates the opportunity to develop innovations, open up new markets, exploit newly created economies of scale and share costs and risks (Franco & Haase, 2015). In agriculture, cooperation in the form of cooperatives have been of essential importance for a long time, especially with the aim of exploiting synergy effects (Bareille et al., 2017). In the field of renewable energy development, cooperation in form of citizen cooperatives make a significant contribution to the participation of citizens in political, social and financial aspects of the energy transition (Huybrechts & Mertens, 2014). Energy cooperatives are frequently discussed as a potential actor in the energy transition and are increasingly being established to advance the common interests of stakeholders. For example, the joint operation of decentralized power generation plants can involve new actors in the energy transition through regional cooperation (Walk, 2014).
Existing biogas plants in Germany need new business models after the 20-year Renewable Energy Sources Act feed-in tariff expires. For continued operation, a business model innovation is needed, which can be realized based on the different technical utilization pathways. Cooperation can have a significant impact on the profitability of the different business models, especially by exploiting synergy effects (Karlsson et al., 2019). In addition, cooperation can help to ensure that existing plants continue to operate at all.
Currently, the most widespread use of biogas in Germany is in the coupled generation of electricity and heat. Additionally, there is the possibility of upgrading biogas to biomethane or biogenic hydrogen path (Mertins & Wawer, 2022).
Different options for cooperative business models that exist in the biogas utilization pathways are presented. The focus is on explaining the advantages of a joint approach compared to single-farm business models and identifying the relevant actors. Subsequently, drivers and barriers for the different cooperative business models are identified and classified based on 20 semi-structured interviews with plant operators in the administrative district of Osnabrück. The aim is to identify drivers and barriers for cooperative post-EEG operation. As a result, political instruments are to be found that make it possible to involve relevant actors and thus stimulate the best possible continued operation from the point of view of the energy system. The results are structured according to the PESTEL analysis. This assigns drivers and barriers to the categories political, economic, sociocultural, technological, ecological and legal (Kaufmann, 2021). The analysis of the interviews is supplemented and validated by a literature review.
Drivers and barriers for cooperative business models are manifold and can vary mainly depending on the plant and the operator.
Drivers
• Political
o Promotion of renewable energies: reduce dependence on fossil (Russian) fuels
• Economic
o Expectation of synergies (information sharing, shared risk, economies of scale)
o Planning security (fixed supply or purchase contracts)
o Access to new markets (not accessible by single-farm business models)
o Cost savings by sharing infrastructure, technology
o Positive return expectation
• Sociocultural
o Motivating, innovative environment
o Lowers barriers to participation in new markets
o Target-oriented partnerships
o Better use of capacities and strengths
o Strengthening regional value creation
• Technological
o Economies of scale (efficiency)
o Available, mature technology
o Storable, transportable gas
o Well-developed infrastructure
• Ecological
o Increase in plant efficiency
o Reduction of greenhouse gas emissions
o Promotion of the circular economy by utilization of organic waste and agricultural residues
o Improving soil quality (fermentation residues as fertilizer)
Barriers
• Political
o Competition to other renewable energies
• Economic
o Uncertainty about future development of energy markets
o Disagreements between the cooperation partners
o Lack of flexibility due to longer-term contractual obligations
o Allocation of profits
• Sociocultural
o Cooperation with current competitor
o Cultural differences and lack of trust
o Acceptance by the general public (e.g. overproduction of maize)
• Technological
o Different technology that is difficult to combine
o Data protection
• Ecological
o Competition for agricultural land
o Use of monocultures
o Emissions from plant
o Pollution from transport
• Legal
o Legal requirements and regulations
o Unfavorable regulatory environment, e.g. long permitting process
One finding is that uncertainty is a major barrier for plant operators. This includes uncertainty about regulatory frameworks and political requirements, as well as about the general development of the energy markets. In addition, social factors such as lack of reliability and disagreement about revenue sharing are a potential barrier. A key driver for the implementation of cooperative business models is the expectation of synergy effects. In addition, operators are driven by a positive expectation of returns and the responsibility for securing the energy supply in times of crisis.
The drivers identified can now be used to develop strategies to advance cooperative business models. In particular, synergy effects should be exploited so that operators can benefit from cooperation. The advantages can also be highlighted and communicated to increase acceptance among the general public. Another important step is to reduce the barriers discussed above. In order to reduce social barriers in particular, it may be advisable to include an external partner in the cooperation, such as a municipal utility that operates an upgrading plant and concludes purchase agreements with the individual partners. In addition, it would be politically expedient to provide the operators with a clear framework for the future in order to reduce uncertainties. As a further aspect, knowledge transfer on new technologies and markets should take place.
GIS-gestützte Zustandserfassung von Befahrungslinien in einem Landesforst und einem Privatwald
(2013)
In einem niedersächsischen Forstgebiet ist die räumliche Anordnung und das Erscheinungsbild von Befahrungslinien (Rückegassen)mittels GPS erfasst worden. Anhand der Fahrspurtiefe wurde beurteilt, in welchem Umfang potentielle Bodenschäden innerhalb der Befahrungslinien auftreten und ob es diesbezüglich Unterschiede zwischen der Bewirtschaftung eines Landesforstes und eines Privatwaldes gibt. Zusätzlich wurden Parameter der spontanen Vegetation sowie das Vorhandensein von Fremdstoffen erhoben. Die Erfassung ergab einen geringeren Flächenverbrauch durch Befahrungslinien im Landesforst gegenüber dem Privatwald. Die Spuren im Landesforst wiesen jedoch einen höheren Anteil an Fahrspurtiefen ? 15 cm auf. Die aufgenommenen Vegetationsdaten der Gassen ergaben unter anderem ein verstärktes Vorkommen von Juncus effusus als Zeigerpflanze von nassen und verdichteten Böden. Fremdstoffe kamen ausschließlich im Privatwald vor.
High Performance and Privacy for Distributed Energy Management: Introducing PrivADE+ and PPPM
(2018)
Distributed Energy Management (DEM) will play a vital role in future smart grids. An important and often
overlooked factor in this concept is privacy. This paper presents two privacy-preserving DEM algorithms
called PrivADE+ and PPPM. PrivADE+ uses a round-based energy management procedure for switchable and
dynamically adaptable loads. PPPM utilises on the market-based PowerMatcher approach. Both algorithms
apply homomorphic encryption to privately gather aggregated data and exchange commands. Simulations
show that PrivADE+ and PPPM achieve good energy management quality with low communication requirements
and without negative influences on robustness.
The wide distribution of smart phones allows to inform and interact with citizens in real-time, thus enabling the vision of smart cities. However, the reliability of smart city applications highly depends on the availability of appropriate, accurate, and trustworthy data. To increase the reliability of smart city applications, the European project CityPulse employs knowledge-based methods for monitoring and testing at all stages of the data stream processing and interpretation pipeline. During design-time testing validates the behaviour of applications with regard to different levels of quality of information. During run-time monitoring assesses the reliability of data streams, the plausibility of information, and the correct evaluation of extracted events. The monitored quality is exploited by fault recovery and conflict resolution mechanisms to ensure fault-tolerant execution of applications.
Hintergrund:
Intensivpflichtige Patienten verlieren oft durch verschiedene Gründe, wie z. B. einer Beatmungsnotwendigkeit, ihre Unabhängigkeit und sind infolgedessen nicht mehr in der Lage, eigene Entscheidungen kundzutun. An dieser Stelle treten oft Angehörige als Stellvertretung für sie ein. Diese Aufgabe stellt eine enorme Herausforderung dar, denn oftmals wurden im Voraus keine Vorkehrungen, wie z. B. eine Patientenverfügung getroffen. Angehörige, in der Rolle der gesetzlichen Stellvertretung, sind oft von den vielseitigen Informationen des Gesundheitspersonals überwältigt, wobei sie diese für den Entscheidungsfindungsprozess verarbeiten und nutzen müssen. Zudem wird die Entscheidungsfindung durch ihre eigenen Bedürfnisse im Konflikt mit den mutmaßlichen Willen des Patienten erschwert.
Methodisches Vorgehen:
Mithilfe einer ausgiebigen Literaturrecherche in Fachdatenbanken und der Bibliothek der Hochschule Osnabrück wird der ausgewählte Patientenfall dargestellt und analysiert. Die Analyse orientiert sich an die Hermeneutik mit dem Fokus auf der Dimension „Person“ und die Perspektive „Handlungsebene“. Anhand einer detaillierten Betrachtung auf Grundlage des Calgary Familien-Assessment-Modells wird die Hochkomplexität des Patientenfalls dargelegt. Im Transferteil werden geeignete Unterstützungsmöglichkeiten vorgestellt, die sich auf die im Analyseteil herausgefilterten Prioritäten fokussieren. Abschließend werden die entworfenen Unterstützungsmöglichkeiten fiktiv auf den Patientenfall angewendet.
Ergebnisse:
Im Ergebnis wird deutlich, dass die Angehörigen als gesetzliche Stellvertretung einer enormen Herausforderung ausgesetzt sind. Sie befinden sich nicht nur in der Situation der Entscheidungsfindung und sind Ansprechperson für das Behandlungsteam, sondern auch in der Rolle der familiären Mitbetroffenen in einer Krisensituation. In beiden Rollen haben sie ein hohes Maß an Bedürfnissen, die während des Pflegeprozesses berücksichtigt und erfüllt werden müssen. Um die Angehörigen in dieser Ausnahmesituation zu begleiten und zu stärken, helfen die aufgezeigten Unterstützungsmöglichkeiten. Die primäre Pflegefachkraft entlastet die Angehörigen in Form von Familiengesprächen und hilft Veränderungen auf der kognitiven, affektiven sowie verhaltensbezogenen Ebene herbeizuführen. Folglich wird eine bedürfnisorientierte Pflege umgesetzt, in der eine informierte Entscheidungsfindung stattfinden kann.
Schlussfolgerung:
Schlussfolgernd ist zu bemerken, dass die Anwendung der Unterstützungsmöglichkeiten einen positiven Effekt auf den Entscheidungsprozess der Angehörigen als gesetzliche Stellvertretung hat. Sie stellt einen wichtigen Bereich der Pflege dar. Die Angehörigen als gesetzliche Stellvertretung müssen daher vermehrt in den Pflegeprozess einbezogen werden, um eine angemessene Entscheidung treffen zu können. Die begleitende und stärkende Funktion, die die Pflegefachkraft dabei einnimmt, stellt eine Kompetenz der akademisierten Pflegefachkraft dar. Durch die erweiterte Ausbildung hat sie eine besondere Fähigkeit zur Durchführung der Familiengespräche. So wäre auch dieser Aspekt der Pflege erfüllt.
Currently, soil nutrient analysis involves two separate processes for soil sampling and nutrient analysis: 1. field soil sampling and 2. laboratory analysis. These two - separate - main work processes are combined and conceptualised for a mobile field laboratory so that soil sampling and analysis can be carried out simultaneously in the field. The module-based field laboratory "soil2data" can carry out these two main work processes in parallel and consists of 5 different task-specific modules that build on each other: app2field, field2soil, app2liquid, liquid2data and data2app. The individual modules were designed and built for the sub-process steps and adapted to the special features of the mobile field laboratory "soil2data". The biggest advantage is that the analysis results are available immediately, and a fertiliser recommendation can be generated instantly. For further analyses, the results are stored in the data cloud. The soil material remains in the field. In the ongoing project "Prototypes4soil2data", the mobile field laboratory soil2data is being further developed into a prototype with a modular structure.
The Internet of Things (IoT) is the enabler for new innovations in several domains. It allows the connection of digital services with physical entities in the real world. These entities are devices of different categories and sizes range from large machinery to tiny sensors. In the latter case, devices are typically characterized by limited resources in terms of computational power, available memory and sometimes limited power supply. As a consequence, the use of security algorithms requires of them to work within the limited resources. This means to find a suitable implementation and configuration for a security algorithm, that performs properly on the device, which may become a challenging task. On the other side, there is the desire to protect valuable assets as strong as possible. Usually, security goals are recorded in security policies, but they do not consider resource availability on the involved device and its power consumption while executing security algorithms. This paper presents an IoT security configuration tool that helps the designer of an IoT environment to experiment with the trade-off between maximizing security and extending the lifetime of a resource constrained IoT device. The tool is controlled with high-level description of security goals in the form of policies. It allows the designer to validate various (security) configurations for a single IoT device up to a large sensor network.
Mit einem systematischen Ansatz konnte basierend auf gering aufgelösten Daten (Bodenkarte, Höhenmodell, Landnutzungsklassifikation) das theoretische Expansionspotential für Ackerflächen in der Provinz Tjumen (Westsibirien, Russische Föderation) abgeschätzt werden. Die theoretisch mögliche Ausdehnung der Ackernutzung um 57% in den landwirtschaftlich relevanten Gebieten konnte allerdings nur zur Hälfte mit Groundtruthdaten in 3 Testareas (je 400 km²) validiert werden. Darüber hinaus waren 52% dieser positiven Validierungspunkte auf Ackerbrachen verortet, die derzeit nicht ökonomisch rentabel zu bewirtschaften sind. Insgesamt kann daher nur eine Expansion der Ackerflächen um 14,5% (? 1900 km² bzw. 1,1% der Gesamtfläche) als potentiell möglich angesehen werden.