44 research outputs found
Interactions between model inclusions on closed lipid bilayer membranes
Full text linkProtein inclusions in the membranes of living cells interact via the deformations they impose on that membrane. Such membrane-mediated interactions lead to sorting and self-assembly of the inclusions, as well as to membrane remodelling, crucial for many biological processes. For the past decades, theory, numerical calculations and experiments have been using simplified models for proteins to gain quantitative insights into their behaviour. Despite challenges arising from nonlinearities in the equations, the multiple length scales involved and the nonadditive nature of the interactions, recent progress now enables for the first time a direct comparison between theoretical and numerical predictions and experiments. We review the current knowledge on the biologically most relevant case, inclusions on lipid membranes with a closed surface and discuss challenges and opportunities for further progress.Accepted Author ManuscriptBN/Timon Idema La
Analysis of the influence of graph characteristics on MAPFW algorithm performance
No full textThe Multi-Agent Path Finding (MAPF) problem is a problem in which a route must be found for multiple agents such that they do not collide. The Multi-Agent PathFinding with Waypoints problem extends this problem by adding waypoints that the agents must visit before travelling to their end location. This paper compares five algorithms for MAPF that have been extended to incorporate waypoints. It also analyzes which influence map characteristics like corridors, chokepoints, overlapping waypoints and the average degree have on the performance of these algorithms. It concludes that EMLA and WM* perform best overall with some variations per characteristic.CSE3000 Research ProjectComputer Science and Engineerin
Musikstädte as real and imaginary soundscapes: urban musical images as literary motifs in twentieth-century German modernism
No full textPhDThis study examines German literary images of musical life as part of the wider sound identity of the modern German city at the turn of the twentieth century. Focussing on a forty-year period from 1890 to 1930, synonymous with the emergence of the modern German metropolis as an aesthetic object, the project assesses, compares and contrasts how musical life in the Musikstädte was perceived and portrayed by writers in an increasingly noisy urban environment. How does urban musical life influence and condition city writings? What are the differences and similarities between the writings on various musical cities? Can an urban textual sound identity be derived from these differences and similarities? The approach employed to answer these questions is a new, cross-disciplinary one to urban sound in literature, moving beyond reading the key sounds of the urban soundscape using urban musicology, sensorial anthropology and cultural poetics towards a literary contextualisation of the urban aural experience.
The literary motifs of the symphony, the gramophone and urban noise are put under the spotlight through the analysis of a wide range of modernist works by authors who have a special relationship with music. At the centre of this analysis are the Kaffeehausliteratur authors Hermann Bahr, Alfred Polgar and Peter Altenberg, the then Munich-based author Thomas Mann and the lesser known René Schickele. The analysis of these particular works is framed in the music-geographical context of the Musikstadt and literary underpinnings of this topos, ranging from Ingeborg Bachmann to Hans Mayer and, once again, Thomas Mann. In analysing these texts, the methodological approach devised by Strohm, who identifies the blending of a range of urban sounds as a definition of urban space and identity, is applied. His ideas combine historical literary
analysis, musical history and urban sociology. They are rarely used in the analysis of the auditory environment.Arts and Humanities Research Council
Westfield TrustWestfield Trust Studentship
Arts and Humanities Reseach Council (AHRC
Dynamic Airspace Reconfiguration with Deep Reinforcement Learning
No full textFor future operations of unmanned aviation, even higher traffic densities than previously seen in manned aviation are expected. Previous work has shown that a vertically layered airspace design performs best at improving safety metrics such as the total number of conflicts and Losses of Separation (LoSs). Furthermore, it has been shown that machine learning techniques are capable of selecting heading ranges for the vertically stacked layers in non-uniform traffic scenarios, in order to reduce the number of conflicts and LoSs compared to uniform structures. These works, however, set structures in an ‘empty’ airspace and do not take into account the necessary vertical deviations to get from one structure to the next. In this work reinforcement learning (RL) agents are used to select layer heading ranges, while taking into account the previous airspace structure. During this dynamic structuring, several challenges arise. First, it is not clear how to reduce the number of vertical conflicts when aircraft move into a new airspace structure. Second, specific structures should be selected that reduce the necessary vertical deviations from the old structure, while still minimising the cruising conflicts for the new traffic distribution. The present work is divided into three experiments. Experiment I focused on analysing the number of conflicts and LoSs that aircraft suffer during vertically moving towards their layer in the new structure. Experiment II tested whether a RL agent is capable of setting an aircraft structure in function of the expected future traffic scenario. Experiment III aimed to show the capability of a RL agent to select airspace structures, while taking into account the previous airspace structures, in order to decrease the number of vertical conflicts. The results of the research show that RL methods are capable of defining airspace structures appropriate for a given traffic scenario. For dynamic reconfiguration, it proved challenging to simulate traffic scenarios that cause an agent to select different structures to prevent the occurrence of vertical conflicts. Under the experimental conditions employed, analytical methods of structure selection performed better in terms of safety.Aerospace Engineering | Control & Simulatio
Radiative local density of states in three-dimensional photonic band-gap crystals to interpret time-resolved emission
Full text linkWe investigate the spontaneous emission of light in three-dimensional (3D) photonic crystals through theoretical calculations and simulations. It is well known that spontaneous emission depends on the radiative local density of states (RLDOS). Photonic band-gap crystals radically modulate the RLDOS, thereby controlling spontaneous emission. We compare two different methods to calculate the RLDOS: the plane-wave expansion (PWE) method and the finite-difference time-domain (FDTD) method. The PWE method directly calculates the RLDOS of an infinite photonic crystal, whereas the FDTD method simulates the RLDOS through the power emitted by a dipole in a finite photonic crystal. We demonstrate that the methods yield similar frequency-dependent trends in the RLDOS, with relative differences of less than 12% that originate from the different boundary conditions. We employ the plane-wave expansion method to compute distributions of emission rates that are relevant to many optical experiments where quantum emitters are distributed within a crystal. Such distributions of emission rates enable us to compute and directly interpret the time-resolved decay as observed in experiments. We expect that our results promote the RLDOS to the realm of optical design and products
Printing of Patterned, Engineered E. coli Biofilms with a Low-Cost 3D Printer
No full textBiofilms can grow on virtually any surface available, with impacts ranging from endangering the lives of patients to degrading unwanted water contaminants. Biofilm research is challenging due to the high degree of biofilm heterogeneity. A method for the production of standardized, reproducible, and patterned biofilm-inspired materials could be a boon for biofilm research and allow for completely new engineering applications. Here, we present such a method, combining 3D printing with genetic engineering. We prototyped a low-cost 3D printer that prints bioink, a suspension of bacteria in a solution of alginate that solidifies on a calcium-containing substrate. We 3D-printed Escherichia coli in different shapes and in discrete layers, after which the cells survived in the printing matrix for at least 1 week. When printed bacteria were induced to form curli fibers, the major proteinaceous extracellular component of E. coli biofilms, they remained adherent to the printing substrate and stably spatially patterned even after treatment with a matrix-dissolving agent, indicating that a biofilm-mimicking structure had formed. This work is the first demonstration of patterned, biofilm-inspired living materials that are produced by genetic control over curli formation in combination with spatial control by 3D printing. These materials could be used as living, functional materials in applications such as water filtration, metal ion sequestration, or civil engineering, and potentially as standardizable models for certain curli-containing biofilms.Accepted Author ManuscriptBN/Marie-Eve Aubin-Tam LabBN/Timon Idema LabBN/Anne Meyer La
Wavefront Shaping with varying degrees of freedom
No full textOptical WaveFront Shaping (WFS) uses the physical feature that whereas light scattering is complex, it is a linear process, thus deterministic. The incident wavefront is controlled to focus light through a scattering sample, by spatially dividing an incoming wavefront and modulating the resulting segments with Spatial Light Modulators (SLMs) or Digital Micromirror Devices (DMDs) paired with a holography system.The main criterion for such a process is the enhancement of the intensity at the target, defined as the ratio of the optimized intensity at the target, and the average intensity at the target for many realizations of the scattering sample. We focus on the effect of restricting the degrees of freedom of the phase modulating devices on the optimization performance. By turning off certain segments, which contribute very little to the optimization, it is possible to greatly shorten optimizations without a significant loss in enhancement. By shrinking the active area of segments, issues with holography systems occur, as small segments and phase transitions negatively affect performance.Our results lead to better choices regarding the areas of interest and limits of such optimizations to improve speed and efficiency, which are relevant for WFS applications
Trematodes of birds from Lower Silesia. III. Urotocus rossitensis (Muhling, 1898) - new for Poland species of trematode parasitizing in passeriform birds
No full textDuring the studies on trematode fauna of birds from Lower Silesia, the rare species - Urotocus rossitensis (MÜHLING, 1898) - was found. It parasitized in the bursa Fabricii of Sylvia borin, Erithacus rubecula and Turdus philomelos, and in the cloaca of Turdus merula. All these birds are new hosts for U. rossitensis which was recorded for the first time in Poland. It is worth mentioning that the localization of this trematode in the cloaca of T. merula is nontypical, since the parasite has underdeveloped suckers. Morphological and biometrical data give us new information about variability of U. rossitensis. They allow the author to support WILLIAMS' (1960) proposition to include U. fusiformis MCINTOSH, 1935 and U. tholonetensis TIMON-DAVID, 1955 among the synonyms of Urotocus rossitensis (MÜHLING, 1898)
Momentum-resolved reflectivity of a 2D photonic crystal in the near-infrared
Full text linkTwo-dimensional (2D) photonic crystals offer strong control over the propagation of light through their bands. Theoretical methods for computing the band structure in 2D are well-established and fast because 2D photonic crystals are homogeneous in the third dimension. Experimental verification is scarce, however, especially in the telecom range, because real photonic crystals and experimental methods inherently cannot be homogeneous in the third dimension. In this work, we report momentum-resolved reflectivity measurements on photonic crystals that are periodic in two dimensions and homogeneous over a thickness of 5 {\mu}m. Using Fourier spectroscopy, we carefully select wave vectors in the 2D plane of periodicity of the photonic crystal. Our experiments agree excellently with 2D band structure calculations and with 2D finite-difference time-domain simulations, confirming that our experimental methods truly pertain to nanophotonics in 2D. Our results provide a robust bridge between theory and experiment, and our techniques can be readily extended to other 2D structures, including those with functional defects
