Moir{\'e} patterns as a probe of interplanar interactions: graphene on h-BN

By atomistic modeling of moir{\'e} patterns of graphene on a substrate with a small lattice mismatch, we find qualitatively different strain distributions for small and large misorientation angles, corresponding to the commensurate-incommensurate transition recently observed in graphene on hexagonal BN. We find that the ratio of C-N and C-B interactions is the main parameter determining the different bond lengths in the center and edges of the moir{\'e} pattern. Agreement with experimental data is obtained only by assuming that the C-B interactions are at least twice weaker than the C-N interactions. The correspondence between the strain distribution in the nanoscale moir{\'e} pattern and the potential energy surface at the atomic scale found in our calculations, makes the moir{\'e} pattern a tool to study details of dispersive forces in van der Waals heterostructures.Comment: 5 pages, 3 figure

Effect of structural relaxation on the electronic structure of graphene on hexagonal boron nitride

We performed calculations of electronic, optical and transport properties of graphene on hBN with realistic moir\'e patterns. The latter are produced by structural relaxation using a fully atomistic model. This relaxation turns out to be crucially important for electronic properties. We describe experimentally observed features such as additional Dirac points and the "Hofstadter butterfly" structure of energy levels in a magnetic field. We find that the electronic structure is sensitive to many-body renormalization of the local energy gap.Comment: 5 pages, 6 figures. Supplementary material is available at http://www.theorphys.science.ru.nl/people/yuan/attachments/sm_hbn.pd

Effect of structural relaxation on the electronic structure of graphene on hexagonal boron nitride

We performed calculations of electronic, optical and transport properties of graphene on hBN with realistic moir\'e patterns. The latter are produced by structural relaxation using a fully atomistic model. This relaxation turns out to be crucially important for electronic properties. We describe experimentally observed features such as additional Dirac points and the "Hofstadter butterfly" structure of energy levels in a magnetic field. We find that the electronic structure is sensitive to many-body renormalization of the local energy gap.Comment: 5 pages, 6 figures. Supplementary material is available at http://www.theorphys.science.ru.nl/people/yuan/attachments/sm_hbn.pd

Mating status affects female choice when females are signalers

Sexual selection in animals has been mostly studied in species in which males are signalers and females are choosers. However, in many species, females are (also) signalers. In species with non‐signaling females, virgin females are hypothesized to be less choosy than mated females, as virgins must mate to realize fitness and the number of available males is generally limited. Yet, when females signal to attract males, mate limitation can be overcome. We tested how virgin and mated females differ in their calling behavior, mating latency, and in mate choice, using the tobacco budworm Chloridea (Heliothis) virescens as an example for a species in which females are not only choosers but also signalers. We found that virgin females signaled longer than mated females, but virgin and mated signaling females were equally ready to mate, in contrast to non‐signaling females. However, we found that virgin signaling females showed weaker mate preference than mated females, which can be explained by the fact that females increase their fitness with multiple matings. Mated females may thus further increase their fitness by more stringent mate selection. We conclude that signaling is a crucial aspect to consider when studying female mate choice because signaling may affect the number of available mates to choose from

Low health literacy is associated with worse postoperative outcomes following hepato-pancreato-biliary cancer surgery

Background: Low health literacy (HL) can lead to worse health outcomes for patients with chronic diseases and could also lead to worse postoperative outcomes. This retrospective cohort study investigates the association between HL and postoperative textbook outcome (TO) after hepato-pancreato-biliary (HPB) cancer surgery. Methods: Patients that consented and underwent surgery for a premalignant andmalignant HPB tumor were included. Preoperatively, HL was measured by the brief health literacy screen (BHLS). Patients were categorized as having low or adequate HL. Primary outcome was TO (length of hospital stay (LOS) ≤ 75th percentile; and no severe complication; and no readmission and mortality within 30 days after discharge). Secondary outcomes were LOS and emergency department (ED) visits within 30 days after discharge. Results: In total, 137 patients were included, of whom thirty-six patients had low HL. In patients with low HL (vs. adequate HL), rate of TO was lower (55.6% vs. 72.3%; p = 0.095), LOS was significantly longer (13.5 vs. 9 days; p = 0.007) and there was only a slight difference in ED visits (14.3% vs. 11.0%; p = 0.560). Patients with low HL had a significant lower chance of achieving TO (OR 0.400, 95%-CI 0.169–0.948; p = 0.037). Conclusion: Low HL leads to worse postoperative outcome after HPB cancer surgery. Better preoperative education and guidance of patients with low HL could lead to better postoperative outcomes. Therefore, HL could be the next modifiable risk factor before major surgery

Landscapes of feeling arenas of action: information visualisation as art practice

Discussing his recent artworks alongside those by Abigail Reynolds, Lucy Kimbell and Christian Nold, the author examines emerging phenomena in the digital and wider fine arts whereby information visualization practices are approached as creative media. By laying bare points of convergence and divergence between artistic and scientific approaches, the article develops a number of arguments that show how the pictures produced by information visualization may be reframed within wider aesthetic and critical frameworks. Thus the author explores how models of image production derived from processes of scientific inquiry expand possibilities for the visual arts to develop new types of hybrid images that consist of data grounded both in material realities and in symbolic and aesthetic elements

Experimental harvesting of fish populations drives genetically based shifts in body size and maturation

Size-selective harvesting in commercial fisheries can induce rapid changes in biological traits. While experimental and wild harvested populations often exhibit clear shifts in body size and maturation associated with fishing pressure, the relative contributions of genetic and environmental factors to these shifts remain uncertain and have been much debated. To date, observations of so-called fisheries-induced evolution (FIE) have been based solely on phenotypic measures, such as size data. Genetic data are hitherto lacking. Here, we quantify genetic versus environmental change in response to size-selective harvesting for small and large body size in guppies (Poecilia reticulata) across three generations of selection. We document for the first time significant changes at individual genetic loci, some of which have previously been associated with body size. In contrast, variation at neutral microsatellite markers was unaffected by selection, providing direct genetic evidence for rapid evolution induced by size-selective harvesting. These findings demonstrate FIE in an experimental system, with major implications for the sustainability of harvested populations, as well as impacts on size-structured communities and ecosystem processes. These findings highlight the need for scientists and managers to reconsider the capacity of harvested stocks to adapt to, and recover from, harvesting and predation. © 2013 The Ecological Society of America

Social Innovation: Integrating Micro, Meso, and Macro Level Insights From Institutional Theory

© The Author(s) 2018. Social innovations are urgently needed as we confront complex social problems. As these social problems feature substantial interdependencies among multiple systems and actors, developing and implementing innovative solutions involve the re-negotiating of settled institutions or the building of new ones. In this introductory article, we introduce a stylized three-cycle model highlighting the institutional nature of social innovation efforts. The model conceptualizes social innovation processes as the product of agentic, relational, and situated dynamics in three interrelated cycles that operate at the micro, meso, and macro levels of analysis. The five papers included in this special issue address one or more of these cycles. We draw on these papers and the model to stimulate and offer guidance to future conversations on social innovations from an institutional theory perspective