Suchergebnisse

Marine Ökosysteme wie Mangrovenwälder, Seegraswiesen, Salzwiesen und Makroalgen sowie marine Sedimente verfügen über die Eigenschaft, Kohlenstoff in ihrer Biomasse und Sedimenten zu speichern. Durch die Rehabilitation, Wiederherstellung und den Schutz dieser Ökosysteme kann somit das Potential des Ozeans zur Aufnahme von atmosphärischem CO2 erhöht werden. Dieses Potential wurde in Vorbereitung der 15. UN-Klimakonferenz in Kopenhagen 2009 unter dem Konzept "Blue Carbon" eingeführt und wird seitdem weiter erforscht und in politischen Prozessen weiterentwickelt. Die langfristige Sequestrierung von atmosphärischem CO2 durch Blue-Carbon-Ökosysteme unterstützt Umsetzungsprozesse zur Erreichung der Ziele des Pariser Abkommens. Das über Blue-Carbon-Ökosysteme sequestrierte CO2 zählt als Teil der globalen Kohlenstoffsenke als "negative Emissionen". So erreichte negative Emissionen sollten jedoch nicht zur Umgehung von ohnehin notwendigen politischen und wirtschaftlichen Schritten in Richtung einer CO2-neutralen Zukunft führen. Die Wiederherstellung und Rehabilitation von Blue-Carbon-Ökosystemen zur Erhöhung der natürlichen Kohlenstoffsenke des Planeten sollte zusätzlich zu einer signifikanten globalen Emissionsreduktion eingesetzt werden. Diese Studie erörtert die wissenschaftlichen, ökonomischen und politischen Fortschritte im Bereich Blue Carbon und stellt mögliche politische Handlungspfade vor, die das Potential von Blue-Carbon-Ökosystemen zum Klimaschutz in, durch und mit Deutschland stärken. Für die verschiedenen Blue-Carbon-Ökosysteme wird aufgezeigt, inwiefern die Ausweitung und der Schutz dieser Ökosystemen weitere Ziele der Klimaanpassung und der nachhaltigen Entwicklung unterstützen. Aufbauend auf einer Auswertung praktischer Umsetzungsbeispiele von Blue-Carbon-Projekten und möglicher Finanzierungsmechanismen wird nachfolgend ein politischer Handlungsleitpfaden für Deutschland in Bezug auf Blue Carbon entwickelt. Die politischen Handlungsempfehlungen wurden gemeinsam mit dem Bundesministerium für Umwelt, ...

The importance of energy security for the successful functioning of private companies, national economies, and the overall society cannot be underestimated. Energy is a critical infrastructure for any modern society, and its reliable functioning is essential for all economic sectors and for the well-being of everybody. Uncertainty in terms of the availability of information, namely reliable data to make predictions and to plan for investment as well as for other actions of stakeholders in the energy markets is one of the factors with the highest influence on energy security. This uncertainty can be connected with many factors, such as the availability of reliable data or actions of stakeholders themselves. For example, the recent outbreak of the COVID-19 pandemic revealed negative impacts of uncertainty on decision-making processes and markets. At the time point when the market participants started to receive real-time information about the situation, the energy markets began to ease. This is one scenario where Big Data can be used to amplify information to various stakeholders to prevent panic and to ensure market stability and security of supply. Considering the novelty of this topic, our methodology is based on the meta-analysis of existing studies in the area of impacts of energy security on private companies, the national economy, and society. The results show that, in a fast-paced digital world characterized by technological advances, the use of Big Data technology provides a unique niche point to close this gap in information disparity by levering the use of unconventional data sources to integrate technologies, stakeholders, and markets to promote energy security and market stability. The potential of Big Data technology is yet to be fully utilized. Big Data can handle large data sets characterized by volume, variety, velocity, value, and complexity. Our conclusion is that the challenge for energy markets is to leverage this technology to mine available socioeconomic, political, geographic, and environmental data responsibly and to provide indicators that predict future global supply and demand. This information is crucial for energy security and ensuring global economic prosperity

The importance of energy security for the successful functioning of private companies, national economies, and the overall society cannot be underestimated. Energy is a critical infrastructure for any modern society, and its reliable functioning is essential for all economic sectors and for the well-being of everybody. Uncertainty in terms of the availability of information, namely reliable data to make predictions and to plan for investment as well as for other actions of stakeholders in the energy markets is one of the factors with the highest influence on energy security. This uncertainty can be connected with many factors, such as the availability of reliable data or actions of stakeholders themselves. For example, the recent outbreak of the COVID-19 pandemic revealed negative impacts of uncertainty on decision-making processes and markets. At the time point when the market participants started to receive real-time information about the situation, the energy markets began to ease. This is one scenario where Big Data can be used to amplify information to various stakeholders to prevent panic and to ensure market stability and security of supply. Considering the novelty of this topic, our methodology is based on the meta-analysis of existing studies in the area of impacts of energy security on private companies, the national economy, and society. The results show that, in a fast-paced digital world characterized by technological advances, the use of Big Data technology provides a unique niche point to close this gap in information disparity by levering the use of unconventional data sources to integrate technologies, stakeholders, and markets to promote energy security and market stability. The potential of Big Data technology is yet to be fully utilized. Big Data can handle large data sets characterized by volume, variety, velocity, value, and complexity. Our conclusion is that the challenge for energy markets is to leverage this technology to mine available socioeconomic, political, geographic, and environmental data responsibly and to provide indicators that predict future global supply and demand. This information is crucial for energy security and ensuring global economic prosperity

ZusammenfassungSchleimhautmelanome sind seltene Formen von Melanomen mit einer ungünstigen Prognose. Bei Fehlen von therapierelevanten Mutationen und Inoperabilität stellt die Therapie mit Immuncheckpoint-Inhibitoren eine aussichtsreiche Option dar. Die Kombination aus dem PD-1-Antikörper Nivolumab und dem CTLA4-Antikörper Ipilimumab ist effektiver, jedoch auch erheblich toxischer als die Monotherapie mit PD-1-Antikörpern. Wir berichten über eine 57-jährige Patientin mit einem lymphogen metastasierten inoperablen Gingivamelanom im Stadium IIID, die mit einer Kombination aus Nivolumab und Ipilimumab behandelt wurde und hierunter multiple autoimmunvermittelte Nebenwirkungen einschließlich eines Schubs einer rheumatoiden Arthritis, einer Autoimmunkolitis, einer Autoimmunthyreoiditis und einer Autoimmunhepatitis entwickelte. Diese konnten mithilfe von systemischen Steroiden und symptomatischer Therapie beherrscht werden und es konnte eine anhaltende partielle Remission bei guter Lebensqualität erzielt werden. Unser Fall liefert ein Beispiel für den erfolgreichen Einsatz von Immuncheckpoint-Inhibitoren bei seltenen Melanom-Entitäten, veranschaulicht jedoch auch die Bedeutung von intensivem Monitoring besonders bei Patienten mit zugrunde liegenden Autoimmunerkrankungen.

Research software has become a central asset in academic research. It optimizes existing and enables new research methods, implements and embeds research knowledge, and constitutes an essential research product in itself. Research software must be sustainable in order to understand, replicate, reproduce, and build upon existing research or conduct new research effectively. In other words, software must be available, discoverable, usable, and adaptable to new needs, both now and in the future. Research software therefore requires an environment that supports sustainability. Hence, a change is needed in the way research software development and maintenance are currently motivated, incentivized, funded, structurally and infrastructurally supported, and legally treated. Failing to do so will threaten the quality and validity of research. In this paper, we identify challenges for research software sustainability in Germany and beyond, in terms of motivation, selection, research software engineering personnel, funding, infrastructure, and legal aspects. Besides researchers, we specifically address political and academic decision-makers to increase awareness of the importance and needs of sustainable research software practices. In particular, we recommend strategies and measures to create an environment for sustainable research software, with the ultimate goal to ensure that software-driven research is valid, reproducible and sustainable, and that software is recognized as a first class citizen in research. This paper is the outcome of two workshops run in Germany in 2019, at deRSE19 - the first International Conference of Research Software Engineers in Germany - and a dedicated DFG-supported follow-up workshop in Berlin.

Research software has become a central asset in academic research. It optimizes existing and enables new research methods, implements and embeds research knowledge, and constitutes an essential research product in itself. Research software must be sustainable in order to understand, replicate, reproduce, and build upon existing research or conduct new research effectively. In other words, software must be available, discoverable, usable, and adaptable to new needs, both now and in the future. Research software therefore requires an environment that supports sustainability. Hence, a change is needed in the way research software development and maintenance are currently motivated, incentivized, funded, structurally and infrastructurally supported, and legally treated. Failing to do so will threaten the quality and validity of research. In this paper, we identify challenges for research software sustainability in Germany and beyond, in terms of motivation, selection, research software engineering personnel, funding, infrastructure, and legal aspects. Besides researchers, we specifically address political and academic decision-makers to increase awareness of the importance and needs of sustainable research software practices. In particular, we recommend strategies and measures to create an environment for sustainable research software, with the ultimate goal to ensure that software-driven research is valid, reproducible and sustainable, and that software is recognized as a first class citizen in research. This paper is the outcome of two workshops run in Germany in 2019, at deRSE19 - the first International Conference of Research Software Engineers in Germany - and a dedicated DFG-supported follow-up workshop in Berlin.