Ab initio spin-flip conductance of hydrogenated graphene nanoribbons: Spin-orbit interaction and scattering with local impurity spins

We calculate the spin-dependent zero-bias conductance $G_{\sigma\sigma'}$ in armchair graphene nanoribbons with hydrogen adsorbates employing a DFT-based ab initio transport formalism including spin-orbit interaction. We find that the spin-flip conductance $G_{\sigma\bar{\sigma}}$ can reach the same order of magnitude as the spin-conserving one, $G_{\sigma\sigma}$, due to exchange-mediated spin scattering. In contrast, the genuine spin-orbit interaction appears to play a secondary role, only

Ab initio quantum transport through armchair graphene nanoribbons: Streamlines in the current density

We calculate the local current density in pristine armchair graphene nanoribbons (AGNRs) with varying width, $N_\mathrm{C}$, employing a density-functional-theory-based ab initio transport formalism. We observe very pronounced current patterns (streamlines) with threefold periodicity in $N_\mathrm{C}$. They arise as a consequence of quantum confinement in the transverse flow direction. Neighboring streamlines are separated by stripes of almost vanishing flow. As a consequence, the response of the current to functionalizing adsorbates is very sensitive to their placement: adsorbates located within the current filaments lead to strong backscattering, while adsorbates placed in other regions have almost no impact at all.Comment: 7 pages, 11 figure

RNA Movies 2: sequential animation of RNA secondary structures

RNA Movies is a simple, yet powerful visualization tool in likeness to a media player application, which enables to browse sequential paths through RNA secondary structure landscapes. It can be used to visualize structural rearrangement processes of RNA, such as folding pathways and conformational switches, or to browse lists of alternative structure candidates. Besides extending the feature set, retaining and improving usability and availability in the web is the main aim of this new version. RNA Movies now supports the DCSE and RNAStructML input formats besides its own RNM format. Pseudoknots and ‘entangled helices’ can be superimposed on the RNA secondary structure layout. Publication quality output is provided through the Scalable Vector Graphics output format understood by most current drawing programs. The software has been completely re-implemented in Java to enable pure client-side operation as applet and web-start application available at the Bielefeld Bioinformatics Server http://bibiserv.techfak.uni-bielefeld.de/rnamovie

Chirality-controlled spin scattering through quantum interference

Chirality-induced spin selectivity has been reported in many experiments, but a generally accepted theoretical explanation has not yet been proposed. Here, we introduce a simple model system of a straight cylindrical free-electron wire, containing a helical string of atomic scattering centers, with spin-orbit interaction. The advantage of this simple model is that it allows deriving analytical expressions for the spin scattering rates, such that the origin of the effect can be easily followed. We find that spin-selective scattering can be viewed as resulting from constructive interference of partial waves scattered by the spin-orbit terms. We demonstrate that forward scattering rates are independent of spin, while back scattering is spin dependent over wide windows of energy. Although the model does not represent the full details of electron transmission through chiral molecules, it clearly reveals a mechanism that could operate in chiral systems.Comment: 7 pages, 4 figure

How do we decide on Critical Professional Conflicts?

How to discover and define the ongoing professional conflicts in two professional fields? A key factor in effective ‘teaching the conflicts’ is to have genuine and meaningful conflict

Homeostatic Activity-Dependent Tuning of Recurrent Networks for Robust Propagation of Activity.

UNLABELLED: Developing neuronal networks display spontaneous bursts of action potentials that are necessary for circuit organization and tuning. While spontaneous activity has been shown to instruct map formation in sensory circuits, it is unknown whether it plays a role in the organization of motor networks that produce rhythmic output. Using computational modeling, we investigate how recurrent networks of excitatory and inhibitory neuronal populations assemble to produce robust patterns of unidirectional and precisely timed propagating activity during organism locomotion. One example is provided by the motor network inDrosophilalarvae, which generates propagating peristaltic waves of muscle contractions during crawling. We examine two activity-dependent models, which tune weak network connectivity based on spontaneous activity patterns: a Hebbian model, where coincident activity in neighboring populations strengthens connections between them; and a homeostatic model, where connections are homeostatically regulated to maintain a constant level of excitatory activity based on spontaneous input. The homeostatic model successfully tunes network connectivity to generate robust activity patterns with appropriate timing relationships between neighboring populations. These timing relationships can be modulated by the properties of spontaneous activity, suggesting its instructive role for generating functional variability in network output. In contrast, the Hebbian model fails to produce the tight timing relationships between neighboring populations required for unidirectional activity propagation, even when additional assumptions are imposed to constrain synaptic growth. These results argue that homeostatic mechanisms are more likely than Hebbian mechanisms to tune weak connectivity based on spontaneous input in a recurrent network for rhythm generation and robust activity propagation. SIGNIFICANCE STATEMENT: How are neural circuits organized and tuned to maintain stable function and produce robust output? This task is especially difficult during development, when circuit properties change in response to variable environments and internal states. Many developing circuits exhibit spontaneous activity, but its role in the synaptic organization of motor networks that produce rhythmic output is unknown. We studied a model motor network, that when appropriately tuned, generates propagating activity as during crawling inDrosophilalarvae. Based on experimental evidence of activity-dependent tuning of connectivity, we examined plausible mechanisms by which appropriate connectivity emerges. Our results suggest that activity-dependent homeostatic mechanisms are better suited than Hebbian mechanisms for organizing motor network connectivity, and highlight an important difference from sensory areas.This work was supported by Cambridge Overseas Research Fund, Trinity College, and Swartz Foundation to J.G. and Wellcome Trust VIP funding to J.F.E. through Program Grant WT075934 to Michael Bate and Matthias Landgraf. J.G. is also supported by Burroughs-Wellcome Fund Career Award at the Scientific Interface.This is the final version of the article. It first appeared from the Society for Neuroscience via https://doi.org/10.1523/JNEUROSCI.2511-15.201

C58 on Au(111): a scanning tunneling microscopy study

C58 fullerenes were adsorbed onto room temperature Au(111) surface by low-energy (~6 eV) cluster ion beam deposition under ultrahigh vacuum conditions. The topographic and electronic properties of the deposits were monitored by means of scanning tunnelling microscopy (STM at 4.2 K). Topographic images reveal that at low coverages fullerene cages are pinned by point dislocation defects on the herringbone reconstructed gold terraces (as well as by step edges). At intermediate coverages, pinned monomers, act as nucleation centres for the formation of oligomeric C58 chains and 2D islands. At the largest coverages studied, the surface becomes covered by 3D interlinked C58 cages. STM topographic images of pinned single adsorbates are essentially featureless. The corresponding local densities of states are consistent with strong cage-substrate interactions. Topographic images of [C58]n oligomers show a stripe-like intensity pattern oriented perpendicular to the axis connecting the cage centers. This striped pattern becomes even more pronounced in maps of the local density of states. As supported by density functional theory, DFT calculations, and also by analogous STM images previously obtained for C60 polymers (M. Nakaya et al., J. Nanosci. Nanotechnol. 11, 2829 (2011)), we conclude that these striped orbital patterns are a fingerprint of covalent intercage bonds. For thick C58 films we have derived a band gap of 1.2 eV from scanning tunnelling spectroscopy data, STS, confirming that the outermost C58 layer behaves as a wide band semiconductor

Out of Sight,...:How Asymmetry in Video-Conference Affects Social Interaction

As social-mediated interaction is becoming increasingly important and multi-modal, even expanding into virtual reality and physical telepresence with robotic avatars, new challenges emerge. For instance, video calls have become the norm and it is increasingly common that people experience a form of asymmetry, such as not being heard or seen by their communication partners online due to connection issues. Previous research has not yet extensively explored the effect on social interaction. In this study, 61 Dyads, i.e. 122 adults, played a quiz-like game using a video-conferencing platform and evaluated the quality of their social interaction by measuring five sub-scales of social presence. The Dyads had either symmetrical access to social cues (both only audio, or both audio and video) or asymmetrical access (one partner receiving only audio, the other audio and video). Our results showed that in the case of asymmetrical access, the party receiving more modalities, i.e. audio and video from the other, felt significantly less connected than their partner. We discuss these results in relation to the Media Richness Theory (MRT) and the Hyperpersonal Model: in asymmetry, more modalities or cues will not necessarily increase feeling socially connected, in opposition to what was predicted by MRT. We hypothesize that participants sending fewer cues compensate by increasing the richness of their expressions and that the interaction shifts towards an equivalent richness for both participants

Cost-effectiveness of a nurse-based intervention (AIMS) to improve adherence among HIV-infected patients : Design of a multi-centre randomised controlled trial

Peer reviewedPublisher PD

Plenoptische Modellierung und Darstellung komplexer starrer Szenen

Image-Based Rendering is the task of generating novel views from existing images. In this thesis different new methods to solve this problem are presented. These methods are designed to fulfil special goals such as scalability and interactive rendering performance. First, the theory of the Plenoptic Function is introduced as the mathematical foundation of image formation. Then a new taxonomy is introduced to categorise existing methods and an extensive overview of known approaches is given. This is followed by a detailed analysis of the design goals and the requirements with regards to input data. It is concluded that for perspectively correct image generation from sparse spatial sampling geometry information about the scene is necessary. This leads to the design of three different Image-Based Rendering methods. The rendering results are analysed on different data sets. For this analysis, error metrics are defined to evaluate different aspects