The current approach to assessing the educational quality applicable to assessing objects and processes formed and realized in producing spheres is widely spread. However, as education is a much more complicated anthropological, social and cultural object in comparison to that of production, the above mentioned approach is least effective. In education both \"strong\" and \"weak\" models are used. There do not exist measurement instruments for accurate assessing mild results. Self control, expert assessing method and portfolio are being put forward.

This work addresses properties of two-component lipid membranes on the experimentally relevant spatial scales of order of a micrometer and time intervals of order of a second by means of lattice-based Monte Carlo (MC) simulations. To be able to do that with reasonable computational efforts the lipid membrane is modeled as a square lattice of lipid molecules with next-neighbor interaction. This allows for efficient computation and thus provides a large-scale simulation with which it was possible to obtain important results previously not reported in simulation studies of lipid membranes. After properly tuning the next-neighbor interaction energies the simulation reproduces the experimental phase diagram of the DMPC/DSPC lipid system which is used as a model system in this work. Beyond that, the MC simulation provides a more detailed description of the phase behavior of the lipid mixture than the experimental data. It is found that, within a certain range of lipid compositions, the phase transition from the fluid phase to the fluid–gel phase coexistence proceeds via near-critical fluctuations, while for other lipid compositions this phase transition has a quasi-abrupt character. The complete combined state and component phase diagram is constructed by structure function analysis which confirms the existence of a critical point in the system. The dynamics of membrane coarsening after an abrupt temperature quench to the fluid–gel coexistence region of the phase diagram are studied. In this context, it is found that lateral diffusion of lipids plays an important role in the fluid–gel phase separation process. Dynamic scaling is observed only if the ratio of gel and fluid phase in the membrane stays constant in time. The line tension characterizing lipid domains in the fluid–gel coexistence region is found to be in the pN range thus matching values both predicted theoretically and measured experimentally. When approaching the critical point, the line tension, the inverse correlation length of fluid–gel spatial fluctuations, and the corresponding inverse order parameter susceptibility of the membrane vanish in agreement with recent experimental findings for model lipid membranes. By simulating single particle tracking and fluorescence correlation spectroscopy experiments it is found that in the presence of near-critical fluctuations lipid molecules show transient subdiffusive behavior, which is a new result important for understanding the origins of subdiffusion in cell membranes which are believed to be close to a critical point. The membrane–cytoskeleton interaction strongly affects phase separation, enhances subdiffusion, and eventually leads to hop diffusion of lipids. Thus, a minimum realistic model for membrane rafts showing the features of both microscopic phase separation and subdiffusion is established.

The current approach to assessing the educational quality applicable to assessing objects and processes formed and realized in producing spheres is widely spread. However, as education is a much more complicated anthropological, social and cultural object in comparison to that of production, the above mentioned approach is least effective. In education both \"strong\" and \"weak\" models are used. There do not exist measurement instruments for accurate assessing mild results. Self control, expert assessing method and portfolio are being put forward.

Networked dynamical systems, i.e., systems of dynamical units coupled via nontrivial interaction topologies, constitute models of broad classes of complex systems, ranging from gene regulatory and metabolic circuits in our cells to pandemics spreading across continents. Most of such systems are driven by irregular and distributed fluctuating input signals from the environment. Yet how networked dynamical systems collectively respond to such fluctuations depends on the location and type of driving signal, the interaction topology and several other factors and remains largely unknown to date. As a key example, modern electric power grids are undergoing a rapid and systematic transformation towards more sustainable systems, signified by high penetrations of renewable energy sources. These in turn introduce significant fluctuations in power input and thereby pose immediate challenges to the stable operation of power grid systems. How power grid systems dynamically respond to fluctuating power feed-in as well as other temporal changes is critical for ensuring a reliable operation of power grids yet not well understood. In this work, we systematically introduce a linear response theory (LRT) for fluctuation-driven networked dynamical systems. The derivations presented not only provide approximate analytical descriptions of the dynamical responses of networks, but more importantly, also allow to extract key qualitative features about spatio-temporally distributed response patterns. Specifically, we provide a general formulation of a LRT for perturbed networked dynamical systems, explicate how dynamic network response patterns arise from the solution of the linearised response dynamics, and emphasise the role of LRT in predicting and comprehending power grid responses on different temporal and spatial scales and to various types of disturbances. Understanding such patterns from a general, mathematical perspective enables to estimate network responses quickly and intuitively, and to develop guiding principles for, e.g., power grid operation, control and design.

Die Assoziation kleiner Moleküle (Liganden) in hydrophobe Bindungstaschen spielt eine fundamentale Rolle in der Biomolekularerkennung und den Selbstassemblierungsprozessen der physikalischen Chemie wässriger Lösungen. Während der Einfluss des Wassers auf die freie Energie der Bindung (die Bindungsaffinität) im thermischen Gleichgewicht in den letzten Jahren auf immer stärkere Aufmerksamkeit stößt, ist die Rolle des Wassers in der Kinetik und der Bestimmung der Bindungsraten noch weitestgehend unverstanden. Welche nanoskaligen Effekte des Wassers beeinflussen die Dynamik des Liganden in der Nähe der Bindungstasche, und wie lassen sie sich durch die chemischen Eigenschaften der Tasche steuern? Neuste Forschungen haben mithilfe von molekularen Computersimulationen eines einfachen Modells gezeigt, dass Hydrationsfluktuationen in der hydrophoben Bindungstasche an die Dynamik des Liganden koppeln und damit seine Bindungsrate beeinflussen. Da die Wasserfluktuationen wiederum durch die Geometrie und Hydrophobizität der Bindungstasche beeinflusst werden, entsteht die Möglichkeit, kontrollierte Fluktuation zu kreieren, um die Bindungsraten des Liganden zu steuern. In dieser Arbeit wird diese Perspektive mithilfe eines theoretischen Multiskalenansatzes für prototypische Schlüssel-Schloss-Systeme aufgegriffen. Wir untersuchen den Einfluss der physikochemischen Eigenschaften der Bindungstasche auf die Diffusivität und die Bindungsraten des Liganden, und wie die Orientierung eines anisotropen Liganden an die Hydrationsfluktuationen der Tasche koppelt. Damit stellen wir fest, dass kleine Änderungen der Taschentiefe eine extreme Beschleunigung der Bindungsraten bewirken kann und, dass gleichzeitig die Bindung in konkave Taschen vorteilhaft für die Reorientierungsdynamik des Liganden ist. Die Resultate dieses Projekts sollen somit helfen, maßgeschneiderte Lösungen für funktionale „Host-Guest“-Systeme sowie pharmazeutische Moleküle in biomedizinischen Anwendungen zu entwickeln. / The association of small molecules (ligands) to hydrophobic binding pockets plays an integral role in biochemical molecular recognition and function, as well as in various self-assembly processes in the physical chemistry of aqueous solutions. While the investigation of water contributions to the binding free energy (affinity) in equilibrium has attracted a great deal of attention in the last decade, little is known about the role of water in determining the rates of binding and kinetic mechanisms. For instance, what are the nanoscale water effects on ligand diffusion close to the hydrophobic docking site, and how can they be steered by the chemical composition of the pocket? Recent studies used molecular simulations of a simple prototypical pocket-ligand model to show that hydration fluctuations within the binding pocket can couple to the ligand dynamics and influence its binding rates. Since the hydration fluctuations, in turn, can be modified by the pocket’s geometry and hydrophobicity, the possibility exists to create well-controlled solvent fluctuations to steer the ligand’s binding rates. In this work, we pick up this appealing notion employing a theoretical multi-scale approach of a generic key-lock system in aqueous solution. We explore the influence of the physicochemical properties of the pocket on local ligand diffusivities and binding rates and demonstrate how the orientation of a (non-spherical) ligand couples to a pocket’s hydration fluctuations. We find that minor modulation in pocket depth can drastically speed up the binding rate and that, concurrently, binding to molded binding sites is advantageous for the rotational dynamics of the ligand. The results and discussion of this work shall, therefore, imply generic design principles for tailored solutions of functional host-guest systems as well as optimized drugs in biomedical applications.

The subject of this thesis is the generation of spatial temporal structures in living cells. Specifically, we studied the Min-system in the bacterium Escherichia coli. It consists of the MinC, the MinD, and the MinE proteins, which play an important role in the correct selection of the cell division site. The Min-proteins oscillate between the two cell poles and thereby prevent division at these locations. In this way, E. coli divides at the center, producing two daughter cells of equal size, providing them with the complete genetic patrimony. Our goal is to perform a quantitative study, both theoretical and experimental, in order to reveal the mechanism underlying the Min-oscillations. Experimentally, we characterize theMin-system, measuring the temporal period of the oscillations as a function of the cell length, the time-averaged protein distributions, and the in vivo Min-protein mobility by means of different fluorescence microscopy techniques. Theoretically, we discuss a deterministic description based on the exchange of Minproteins between the cytoplasm and the cytoplasmic membrane and on the aggregation current induced by the interaction between membrane-bound proteins. Oscillatory solutions appear via a dynamic instability of the homogenous protein distributions. Moreover, we perform stochastic simulations based on a microscopic description, whereby the probability for each event is calculated according to the corresponding probability in the master equation. Starting from this microscopic description, we derive Langevin equations for the fluctuating protein densities which correspond to the deterministic equations in the limit of vanishing noise. Stochastic simulations justify this deterministic model, showing that oscillations are resistant to the perturbations induced by the stochastic reactions and diffusion. Predictions and assumptions of our theoretical model are compatible with our experimental findings. Altogether, these results enable us to propose further experiments in order to quantitatively compare the different models proposed so far and to test our model with even higher precision. They also point to the necessity of performing such an analysis through single cell measurements.

No description available.

In dieser Arbeit werden Messungen elektrischer, thermischer und insbesondere thermoelektrischer Transportkoeffizienten in topologischen Weyl-Halbmetall-Kandidaten sowie in eisenbasierten Hochtemperatur-Supraleitern vorgestellt, analysiert und diskutiert. In TaAs und TaP, zwei Weyl-Halbmetall-Kandidaten mit gebrochener Inversionssymmetrie, liefert das anomale Verhalten des Nernst-Signals in Abhängigkeit des Magnetfeldes Hinweise auf die Existenz von Weyl-Punkten in der Nähe der Fermi-Fläche, wobei sich die Verschiebung des chemischen Potenzials sowie ein Lifshitz-Übergang detektieren lassen. Die Temperaturabhängigkeit des Nernst-Signales erlaubt außerdem Rückschlüsse auf den Abstand der Weyl-Punkte zur Fermi-Fläche. In Mn3Ge, einem Weyl-Halbmetall-Kandidaten mit gebrochener Zeitumkehrsymmetrie, zeigt sich für alle gemessenen Temperaturen ein komplett anomales Verhalten des Nernst-Signals in Abhängigkeit des Magnetfeldes mit einer rechteckigen Hysterese bei kleinen Feldern, welches im Vergleich mit Daten der Magnetisierung einen eindeutigen Hinweis auf die Präsenz von Weyl-Punkten in diesem Material liefert. Mithilfe eines minimalen theoretischen Modells zweier Weyl-Punkte in der Nähe der Fermi-Fläche lässt sich eine Anpassungsformel für die Temperaturabhängigkeit des Nernst-Signals gewinnen, aus welcher sowohl geometrische Parameter der Bandstruktur als auch die Stärke der Berry-Krümmung an der Fermi-Energie extrahiert werden können. Für eisenbasierte Supraleiter besteht seit Langem der Verdacht, dass nematische Fluktuationen einen Einfluss auf die Supraleitung haben. Hier vorgestellte theoretische Betrachtungen zeigen im Rahmen eines Zweibandmodells eindeutig, dass eine endliche nematische Kopplung zu einer starken Erhöhung und einer nicht-monotonen Abhängigkeit des Nernst-Koeffizienten von der Dotierung führt, welcher ein Maximum über dem supraleitenden Dom aufweist. Dies wird anhand von Nernst-Messungen in Co-dotiertem LaFeAsO bestätigt. Ein Vergleich der Ergebnisse des Nernst-Effekts mit Elasto-Widerstandsmessungen enthüllt eine erstaunliche Ähnlichkeit der Dotierabhängigkeiten. Die Daten werden außerdem mit Messungen des Nernst-Effekts an Rh-dotiertem BaFe2As2 verglichen, wobei ebenfalls eine Erhöhung im Bereich optimaler Dotierung nachgewiesen werden kann. In Rh-dotietem BaFe2As2 zeigt sich jedoch ein Unterschied zwischen Elasto-Widerstands- und Nernst-Messungen, woraus abgeleitet wird, dass Elasto-Widerstandsmessungen kein vollständiges Bild der nematischen Fluktuation liefern. Der Nernst-Effekt ist hingegen aufgrund der Sensitivität auf nematische Fluktuationen universell in zwei Vertretern verschiedener Familien eisenbasierter Supraleiter maximal im Bereich des supraleitenden Doms. Dies liefert, zusammen mit den theoretischen Betrachtungen, einen starken Hinweis auf den Einfluss nematischer Fluktuationen auf die Supraleitung. / In this work the electric, thermal, and thermoelectric transport properties of several topological Weyl semimetal candidates and iron-based superconductors are investigated. In TaAs and TaP, two Weyl semimetal candidates with broken inversion symmetry, the Nernst signal exhibits anomalous behaviour as a function of magnetic field, consistent with Weyl points close to the Fermi surface. Furthermore, a shift of the chemical potential and a Lifshitz transition are detected. The temperature dependence of the Nernst signal allows for an estimation of the energy of the Weyl points with respect to the Fermi level. In Mn3Ge, a Weyl semimetal candidate with broken time reversal symmetry, the Nernst signal shows completely anomalous behaviour as a function of magnetic field that can be obtained at all measured temperatures. At low fields the signal exhibits a rectangular hysteresis cycle. A comparison with magnetization measurements evidently shows that these effects are caused by Weyl points lying close to the Fermi surface. With the help of a minimal model of two Weyl points in the vicinity of the Fermi level, a fitting formula of the temperature dependence of the Nernst signal can be obtained. The fit provides geometrical properties of the band structure, such as the $\boldsymbol{k}$-space separation of the Weyl points, their energy with respect to the Fermi level as well as the strength of the Berry curvature close to the Fermi energy. For a long time nematic fluctuations have been suspected to influence superconductivity in iron-based superconductors. A theoretical analysis, with the help of a two-band model, shows clearly that a finite nematic coupling causes a strong enhancement and non-monotonic behaviour of the Nernst coefficient, which develops a maximum above the superconducting dome. These findings are confirmed by Nernst measurements in Co-doped LaFeAsO. A comparison with elasto-resistivity measurements shows a stunning similarity of the doping dependencies of both quantities. Furthermore the data are compared with measurements on Rh-doped BaFe2As2, which also exhibits an enhancement of the Nernst coefficient in the region of optimal doping. However, in Rh-doped BaFe2As2 a difference between elastoresistivity and Nernst measurements is obtained, indicating that the elasto-resistivity measurements are not universally sensitive to nematic fluctuations. The Nernst effect, on the other hand, is enhanced in the vicinity of the superconducting dome in two members of different families of iron-based superconductors. Together with theoretical insights, these results provide strong evidence for the influence of nematic fluctuations on superconductivity in the iron-based superconductors.

The subject of this thesis is the generation of spatial temporal structures in living cells. Specifically, we studied the Min-system in the bacterium Escherichia coli. It consists of the MinC, the MinD, and the MinE proteins, which play an important role in the correct selection of the cell division site. The Min-proteins oscillate between the two cell poles and thereby prevent division at these locations. In this way, E. coli divides at the center, producing two daughter cells of equal size, providing them with the complete genetic patrimony. Our goal is to perform a quantitative study, both theoretical and experimental, in order to reveal the mechanism underlying the Min-oscillations. Experimentally, we characterize theMin-system, measuring the temporal period of the oscillations as a function of the cell length, the time-averaged protein distributions, and the in vivo Min-protein mobility by means of different fluorescence microscopy techniques. Theoretically, we discuss a deterministic description based on the exchange of Minproteins between the cytoplasm and the cytoplasmic membrane and on the aggregation current induced by the interaction between membrane-bound proteins. Oscillatory solutions appear via a dynamic instability of the homogenous protein distributions. Moreover, we perform stochastic simulations based on a microscopic description, whereby the probability for each event is calculated according to the corresponding probability in the master equation. Starting from this microscopic description, we derive Langevin equations for the fluctuating protein densities which correspond to the deterministic equations in the limit of vanishing noise. Stochastic simulations justify this deterministic model, showing that oscillations are resistant to the perturbations induced by the stochastic reactions and diffusion. Predictions and assumptions of our theoretical model are compatible with our experimental findings. Altogether, these results enable us to propose further experiments in order to quantitatively compare the different models proposed so far and to test our model with even higher precision. They also point to the necessity of performing such an analysis through single cell measurements.

Die vorliegende Arbeit beschäftigt sich mit der elektrischen Charakterisierung 10 nm dünner Schichten bestehend aus amorphen Ga-Nanoclustern eingebettet in Ga-dotiertes polykristallines Si. Die Herstellung der Schichten geschieht via Ionen-Implantation in Si-Wafer samt anschließender thermischer Ausheilung. Elektrische Transportmessungen in Magnetfeldern von bis zu 50 T zeigen, dass die Schichten durch Variation der Ausheilparameter zwei strukturelle Supraleiter-Isolator-Übergänge durchlaufen. TEM-gestützte Strukturanalysen decken auf, dass den Übergängen eine Gefügetransformation zugrunde liegt, die das Wechselspiel zwischen supraleitender Cluster-Kopplung und kapazitiver Ladungsenergie sowie dem Ausmaß von thermischen und Quantenfluktuationen beeinflusst. Im supraleitenden Regime (Tc = 7 K) wird ein doppelt reentrantes Phänomen beobachtet, bei dem Magnetfelder von mehreren Tesla in anisotroper Form die Supraleitung begünstigen. Eine qualitative Erklärung gelingt via selbstentwickeltem theoretischen Modell basierend auf Phaseslip-Ereignissen für Josephson-Kontakt-Netzwerke. Für Anwendungen im Bereich der Sensor-Technologie und Quanten-Logik werden die Schichten erfolgreich via Fotolithographie und FIB (focused ion beam) mikro- und nanostrukturiert. Dadurch gelingt die erstmalige Beobachtung des Little-Parks-Effektes in einer Nanostruktur aus amorphem Ga. / The following thesis is devoted to the electrical characterization of 10 nm thin layers consisting of amorphous Ga nanoclusters embedded in Ga-doped polycrystalline Si. The preparation of the layers is realized via ion implantation in Si wafers plus subsequent thermal annealing. Electrical-transport measurements in magnetic fields of up to 50 T show that the layers undergo two structural superconductor-insulator transitions upon variation of the annealing parameters. Structural analyzes based on TEM investigations reveal an underlying transformation of the size and distance of the clusters. This influences the interplay of the superconducting cluster coupling and capacitive charging energy as well as the extent of thermal and quantum fluctuations. In the superconducting regime (Tc = 7 K) a double-reentrant phenomenon is observed. Here, magnetic fields of several Tesla facilitate superconductivity in an anisotropic way. A qualitative explanation is given via a self-developed theoretical model based on phase-slip events for Josephson-junction arrays. With respect to applications regarding sensor technology and quantum logic circuits the layers are successfully micro- and nanostructured via photolithography and FIB. This allows for the first observation of the Little-Parks effect in a nanostructure of amorphous Ga.