Sustainable Energy Transition: Intermittency Policy Based on Digital Mirror Actions

The transition to renewable energy requires organizations and governments to formulate and enact new energy policies. This emerging energy era is characterized by higher levels of supply and demand intermittency, which requires information systems to manage the electricity grid. We propose key policy elements for managing intermittency based on information systems to implement digital mirror actions for managing the production, consumption, and transfer of electricity and market mechanisms for maintaining grid equilibrium. This article discusses these and their energy policy implications

Smart Cities and Digitized Urban Management

By 2050, two-thirds of the world’s population is expected to reside in cities and urban agglomerations (UN Department of Economic and Social Affairs 2014). Cities have always showcased the best and the worst aspects of humanity – gleaming skyscrapers, art, and inventiveness on the one hand; slums, crime, and abject poverty on the other. Such challenges, which cities already face, will be further amplified by increasing urbanization, and it will be coastal cities in particular that bear the brunt of the global threat of climate change. Not without reason is the quest for “Sustainable Cities and Communities” one of the UN’s explicit sustainable development goals (United Nations 2015)

P35. Intratumoral patterns of clonal evolution in meningiomas

Núm. a Art Públic: 1815Digitalitzat per Tecnodo

The Multi-Agent Programming Contest: A r\'esum\'e

The Multi-Agent Programming Contest, MAPC, is an annual event organized since 2005 out of Clausthal University of Technology. Its aim is to investigate the potential of using decentralized, autonomously acting intelligent agents, by providing a complex scenario to be solved in a competitive environment. For this we need suitable benchmarks where agent-based systems can shine. We present previous editions of the contest and also its current scenario and results from its use in the 2019 MAPC with a special focus on its suitability. We conclude with lessons learned over the years.Comment: Submitted to the proceedings of the Multi-Agent Programming Contest 2019, to appear in Springer Lect. Notes Computer Challenges Series https://www.springer.com/series/1652

Mass measurements of very neutron-deficient Mo and Tc isotopes and their impact on rp process nucleosynthesis

The masses of ten proton-rich nuclides, including the N=Z+1 nuclides 85-Mo and 87-Tc, were measured with the Penning trap mass spectrometer SHIPTRAP. Compared to the Atomic Mass Evaluation 2003 a systematic shift of the mass surface by up to 1.6 MeV is observed causing significant abundance changes of the ashes of astrophysical X-ray bursts. Surprisingly low alpha-separation energies for neutron-deficient Mo and Tc are found, making the formation of a ZrNb cycle in the rp process possible. Such a cycle would impose an upper temperature limit for the synthesis of elements beyond Nb in the rp process.Comment: Link to online abstract: http://link.aps.org/doi/10.1103/PhysRevLett.106.12250

Competitive Benchmarking: An IS Research Approach to Address Wicked Problems with Big Data and Analytics

Wicked problems like sustainable energy and financial market stability are societal challenges that arise from complex socio-technical systems in which numerous social, economic, political, and technical factors interact. Understanding and mitigating them requires research methods that scale beyond the traditional areas of inquiry of Information Systems (IS) “individuals, organizations, and markets” and that deliver solutions in addition to insights. We describe an approach to address these challenges through Competitive Benchmarking (CB), a novel research method that helps interdisciplinary research communities to tackle complex challenges of societal scale by using different types of data from a variety of sources such as usage data from customers, production patterns from producers, public policy and regulatory constraints, etc. for a given instantiation. Further, the CB platform generates data that can be used to improve operational strategies and judge the effectiveness of regulatory regimes and policies. We describe our experience applying CB to the sustainable energy challenge in the Power Trading Agent Competition (Power TAC) in which more than a dozen research groups from around the world jointly devise, benchmark, and improve IS-based solutions