Interface Equations for Capillary Rise in Random Environment

We consider the influence of quenched noise upon interface dynamics in 2D and 3D capillary rise with rough walls by using phase-field approach, where the local conservation of mass in the bulk is explicitly included. In the 2D case the disorder is assumed to be in the effective mobility coefficient, while in the 3D case we explicitly consider the influence of locally fluctuating geometry along a solid wall using a generalized curvilinear coordinate transformation. To obtain the equations of motion for meniscus and contact lines, we develop a systematic projection formalism which allows inclusion of disorder. Using this formalism, we derive linearized equations of motion for the meniscus and contact line variables, which become local in the Fourier space representation. These dispersion relations contain effective noise that is linearly proportional to the velocity. The deterministic parts of our dispersion relations agree with results obtained from other similar studies in the proper limits. However, the forms of the noise terms derived here are quantitatively different from the other studies

Time walkers and spatial dynamics of ageing information

The distribution of information is essential for living system's ability to coordinate and adapt. Random walkers are often used to model this distribution process and, in doing so, one effectively assumes that information maintains its relevance over time. But the value of information in social and biological systems often decay and must continuously be updated. To capture the spatial dynamics of ageing information, we introduce time walkers. A time walker moves like a random walker, but interacts with traces left by other walkers, some representing older information, some newer. The traces forms a navigable information landscape. We quantify the dynamical properties of time walkers moving on a two-dimensional lattice and the quality of the information landscape generated by their movements. We visualise the self-similar landscape as a river network, and show that searching in this landscape is superior to random searching and scales as the length of loop-erased random walks

Gravitational waves from supernova matter

We have performed a set of 11 three-dimensional magnetohydrodynamical core collapse supernova simulations in order to investigate the dependencies of the gravitational wave signal on the progenitor's initial conditions. We study the effects of the initial central angular velocity and different variants of neutrino transport. Our models are started up from a 15 solar mass progenitor and incorporate an effective general relativistic gravitational potential and a finite temperature nuclear equation of state. Furthermore, the electron flavour neutrino transport is tracked by efficient algorithms for the radiative transfer of massless fermions. We find that non- and slowly rotating models show gravitational wave emission due to prompt- and lepton driven convection that reveals details about the hydrodynamical state of the fluid inside the protoneutron stars. Furthermore we show that protoneutron stars can become dynamically unstable to rotational instabilities at T/|W| values as low as ~2 % at core bounce. We point out that the inclusion of deleptonization during the postbounce phase is very important for the quantitative GW prediction, as it enhances the absolute values of the gravitational wave trains up to a factor of ten with respect to a lepton-conserving treatment.Comment: 10 pages, 6 figures, accepted, to be published in a Classical and Quantum Gravity special issue for MICRA200

Directed Fixed Energy Sandpile Model

We numerically study the directed version of the fixed energy sandpile. On a closed square lattice, the dynamical evolution of a fixed density of sand grains is studied. The activity of the system shows a continuous phase transition around a critical density. While the deterministic version has the set of nontrivial exponents, the stochastic model is characterized by mean field like exponents.Comment: 5 pages, 6 figures, to be published in Phys. Rev.

Statistical Mechanics of the Chinese Restaurant Process: lack of self-averaging, anomalous finite-size effects and condensation

The Pitman-Yor, or Chinese Restaurant Process, is a stochastic process that generates distributions following a power-law with exponents lower than two, as found in a numerous physical, biological, technological and social systems. We discuss its rich behavior with the tools and viewpoint of statistical mechanics. We show that this process invariably gives rise to a condensation, i.e. a distribution dominated by a finite number of classes. We also evaluate thoroughly the finite-size effects, finding that the lack of stationary state and self-averaging of the process creates realization-dependent cutoffs and behavior of the distributions with no equivalent in other statistical mechanical models.Comment: (5pages, 1 figure

Eradication of an epidemic methicillin-resistant Staphylococcus aureus (MRSA) from a geriatric university hospital: evidence from a 10-year follow-up

We report on a successful eradication of methicillin-resistant S. aureus (MRSA) after an epidemic in 1992 in the geriatric ward of a tertiary-care hospital. After identification of MRSA in seven patients, all patients and staff members in the geriatric ward underwent screening. A multifaceted intervention plan was implemented: contact isolation, optimization of infection control and decolonization of all MRSA carriers. Thirty-two patients and five staff members were found to be MRSA carriers. Twenty one of 32 (66%) patients and all five staff members were successfully decolonized. Seven of 32 (22%) patients died during the epidemic before decolonization. A couple was discharged with persisting MRSA colonization and two individuals were lost to follow-up. The eradication of the epidemic clone was proven by systematic screenings in 1995 and 1997. Since then, the strain has no longer been identified in our institution, based on epidemiological surveillance and molecular typing of all MRSA strains obtained from any specimen. This study provides strong evidence that long-term eradication of an MRSA epidemic in a hospital is feasible, and endemicity of MRSA after an outbreak can be avoided. The successful bundle approach for eradication of MRSA during an epidemic is expensive, but the long-term benefits likely outweigh the initial heavy use of resource

On D0-branes in Gepner models

We show why and when D0-branes at the Gepner point of Calabi-Yau manifolds given as Fermat hypersurfaces exist.Comment: 22 pages, substantial improvements in sections 2 and 3, references added, version to be publishe

Ketamine decreases resting state functional connectivity between networks via the dorsal nexus: implications for major depression

Question: Increasing preclinical and clinical evidence underscores the strong and rapid antidepressant properties of the glutamate modulating NMDA receptor antagonist ketamine [1, 2]. Targeting the glutamatergic system might thus provide a novel therapeutic strategy for antidepressant drug treatment [3]. Since glutamate is the most abundand and major excitatory neurotransmitter in the human brain, pathophysiological changes in glutamatergic signalling are likely to affect neurobehavioural plasticity, information processing and large-scale changes in functional brain connectivity underlying certain symptoms of major depressive disorder (MDD) [4]. Using resting state functional MRI (rsfMRI), the „dorsal nexus“ (DN) was recently identified as a bilateral dorsal medial prefrontal cortex (DMPFC) region showing dramatically increased depression-associated fMRI connectivity with large portions of the cognitive control network (CCN), the default mode network (DMN), and the affective network (AN) [5]. Hence, Sheline and colleagues [5] proposed that reducing increased connectivity of the DN might play a critical role in reducing depressive symptomatology and thus represent a potential therapeutic target for affective disorders. Since little is known about how ketamine affects large-scale neural network dynamics in the human brain, we aimed to test the hypothesis that ketamine as an antidepressant glutamatergic agent decreases resting state connectivties via the DN. Methods: Study design: 17 healthy subjects (mean age, 40.5 +/- 7.5 [SD]; 9 males) completed four resting state fMRI sessions in a double-blind, randomized, crossover study design (s. Fig 1). The baseline scan was followed by an intravenous infusion (45 mins) of either S-ketamine (0.25 mg/kg) or placebo (saline) outside the scanner. Since the antidepressant effect of ketamine is most prominent after one day [1], the followup scans were scheduled 24 hours after the ketamine or placebo infusion in order to assess the mid-term effects on neuronal network dynamics that might contribute to its antidepressant efficacy. To avoid a possible carry-over effect, the time lag between the two baseline measurements was set to at least 10 days. rsfMRI data acquisition and analysis: Measurements were performed on a Philips Achieva TX 3-T whole-body MR unit equipped with an 8-channel SENSE head coil. During each session a total of 200 functional images were collected in 10 minute runs (eyes closed) using the following acquisition parameters: TE = 35 ms, TR = 3000 ms (θ = 82°), FOV = 22 cm, acquisition matrix = 80 x 80 interpolated to 128 x 128, voxel size = 2.75 x 2.75 x 4 mm, 32 contiguous axial slices (placed along the anterior-posterior commissure plane), and sensitivity-encoded acceleration factor R = 2.0. A 3-dimensional T1-weighted anatomical scan was obtained for structural reference. Data were analyzed using the SPM8 (Wellcome Trust Center for Neuroimaging, London, England) based data processing assistant for resting state fMRI (DPARSF, by Yan Chao-Gan et al.) which includes a resting state fMRI data analysis toolkit (REST, by Song Xiao-Wei et al.). The postprocessing steps followed the standard protocol described by Yan and Zang (2010) [6]. Results: To test our hypothesis, we created a seed region of interest in the left and right DMPFC (10 mm sphere at ± 6 51 24) representing the DN. 24 h following ketamine administration, functional connectivity was exclusively reduced to the posterior cingulate cortex (PCC), to the subgenual anterior cingulate cortex (sgACC), and to anterior and mediodorsal parts of the thalamus (compared to placebo). The backprojection from a seed in the PCC confirmed these results and revealed an additional significant reduction of functional connectivity to the pregenual ACC (PACC) and medioprefrontal cortex (MPFC). For details, see Fig. 2 A, B and bar diagrams (functional connectivity change, paired t tests). Conclusion: While pharmacological effects of ketamine on task induced fMRI BOLD signals have been studied extensively, this is the first randomized, placebo-controlled, double-blind, crossover study demonstrating changes in resting state functional connectivity in response to ketamine administration in healthy subjects. Here, we report a significant decrease in functional connectivity of the sgACC (AN) and the PCC (DMN) via the DN 24 hours following ketamine administration, thus reflecting a neuronal pattern of normalization with regard to MDD where increased connectivities of the AN and DMN via the DN have been observed [5]. As critical hub of the AN, the sgACC plays an important role in mood regulation. Subgenual cortical activity was shown to be elevated in MDD and effective antidepressant treatment was associated with a reduction in sgACC activity [for review see ref. 7]. In addition, the observed reduction in functional connectivity between anterior (PACC/MPFC) and posterior parts of the DMN (PCC) may partially reverse the disrupted neurobehavioral homeostasis in MDD where a failure to normally down-regulate activity within the DMN during emotional stimulation was found [8], with increasing levels of DMN dominance being associated with higher levels of maladaptive, depressive rumination and lower levels of adaptive, reflective rumination [9]. Finally, reductions in cortico-thalamic connectivity may reflect functional alterations in thalamocortical loops via the prefrontal cortex. Based on the fact that the antidepressant effect of ketamine peaks one day after a single intravenous administration [1], we conclude that pharmacologically reducing the hyperconnectivity via the DN may play a critical role in reducing depressive symptomatology and in representing a systems level mechanism of treatment response for major depression

Cerebral mGluR5 availability contributes to elevated sleep need and behavioral adjustment after sleep deprivation.

Increased sleep time and intensity quantified as low-frequency brain electrical activity after sleep loss demonstrate that sleep need is homeostatically regulated, yet the underlying molecular mechanisms remain elusive. We here demonstrate that metabotropic glutamate receptors of subtype 5 (mGluR5) contribute to the molecular machinery governing sleep-wake homeostasis. Using positron emission tomography, magnetic resonance spectroscopy, and electroencephalography in humans, we find that increased mGluR5 availability after sleep loss tightly correlates with behavioral and electroencephalographic biomarkers of elevated sleep need. These changes are associated with altered cortical myo-inositol and glycine levels, suggesting sleep loss-induced modifications downstream of mGluR5 signaling. Knock-out mice without functional mGluR5 exhibit severe dysregulation of sleep-wake homeostasis, including lack of recovery sleep and impaired behavioral adjustment to a novel task after sleep deprivation. The data suggest that mGluR5 contribute to the brain's coping mechanisms with sleep deprivation and point to a novel target to improve disturbed wakefulness and sleep