Search results for "ddc:"
showing 10 items of 3080 documents
Spatial development of multiple-gap states in nonequilibrium superconductors
1985
We have studied the gap instability in a superconductor under tunneling injection at high voltages by probing the spatial distribution of the phonon emission. A high sensitivity was achieved by using the fountain pressure of superfluid helium for detecting the phonons. Spatial structures were observed at gap depressions as small as 2%. From their spatial development we find that the quasiparticles diffuse into regions where their density is higher.
Classification and Automated Interpretation of Spinal Posture Data Using a Pathology-Independent Classifier and Explainable Artificial Intelligence (…
2021
Clinical classification models are mostly pathology-dependent and, thus, are only able to detect pathologies they have been trained for. Research is needed regarding pathology-independent classifiers and their interpretation. Hence, our aim is to develop a pathology-independent classifier that provides prediction probabilities and explanations of the classification decisions. Spinal posture data of healthy subjects and various pathologies (back pain, spinal fusion, osteoarthritis), as well as synthetic data, were used for modeling. A one-class support vector machine was used as a pathology-independent classifier. The outputs were transformed into a probability distribution according to Plat…
Machine learning for a combined electroencephalographic anesthesia index to detect awareness under anesthesia
2020
Spontaneous electroencephalogram (EEG) and auditory evoked potentials (AEP) have been suggested to monitor the level of consciousness during anesthesia. As both signals reflect different neuronal pathways, a combination of parameters from both signals may provide broader information about the brain status during anesthesia. Appropriate parameter selection and combination to a single index is crucial to take advantage of this potential. The field of machine learning offers algorithms for both parameter selection and combination. In this study, several established machine learning approaches including a method for the selection of suitable signal parameters and classification algorithms are a…
New Alliances in Post-Brexit Europe: Does the New Hanseatic League Revive Nordic Political Cooperation?
2020
As Brexit removes the Nordic countries’ most powerful ally from the EU, what does this imply for their approach to European affairs? The literature on small states within the EU suggests that they can counterbalance limited bargaining capacities by entering two types of alliances: strategic partnerships with bigger member states and institutionalised cooperation on a regional basis. Against this backdrop we ask whether, by significantly raising the costs of non-cooperation for Nordic governments, the Brexit referendum has triggered a revival of Nordic political cooperation. We scrutinise this conjecture by analysing Nordic strategies of coalition-building on EU financial and budgetary polic…
Automorphisms of $mathbb{A}^{1}$-fibered affine surfaces
2011
We develop technics of birational geometry to study automorphisms of affine surfaces admitting many distinct rational fibrations, with a particular focus on the interactions between automorphisms and these fibrations. In particular, we associate to each surface S of this type a graph encoding equivalence classes of rational fibrations from which it is possible to decide for instance if the automorphism group of S is generated by automorphisms preserving these fibrations.
Growth, domain structure, and atomic adsorption sites of hBN on the Ni(111) surface
2021
One of the most important functionalities of the atomically thin insulator hexagonal boron nitride (hBN) is its ability to chemically and electronically decouple functional materials from highly reactive surfaces. It is therefore of utmost importance to uncover its structural properties on surfaces on an atomic and mesoscopic length scale. In this paper, we quantify the relative coverages of structurally different domains of a hBN layer on the Ni(111) surface using low-energy electron microscopy and the normal incidence x-ray standing wave technique. We find that hBN nucleates on defect sites of the Ni(111) surface and predominantly grows in two epitaxial domains that are rotated by ${60}^{…
Rashba splitting of the Tamm surface state on Re(0001) observed by spin-resolved photoemission and scanning tunneling spectroscopy
2020
Physical review research 2(1), 013296 (2020). doi:10.1103/PhysRevResearch.2.013296
Correction: Surface induced smectic order in ionic liquids – an X-ray reflectivity study of [C22C1im]+[NTf2]−
2018
Physical chemistry, chemical physics 20(37), 24494 - 24495 (2018). doi:10.1039/C8CP91851A
On dewetting dynamics of solid films of hydrogen isotopes and its influence on tritium [Beta] spectroscopy
2000
The dewetting dynamics of solid films of hydrogen isotopes, quench-condensed on a graphite substrate, was measured at various temperatures below desorption by observing the stray light from the film. A schematic model describing the dewetting process by surface diffusion is presented, which agrees qualitatively with our data. The activation energies of different hydrogen isotopes for surface diffusion were determined. The time constant for dewetting of a quench-condensed T2 film at the working temperature of 1.86 K of the mainz neutrino mass experiment was extrapolated.
Integrated marketing communication as a business management tool in the context of sustainable development
2018
AbstractThe problem of nowadays is that consumers lack information on food products, their composition and quality, nutritional value, packaging, its impact on the human health and environment, reuse and recycling possibilities, etc. Integrated marketing communications (IMC) as a business management tool may not only draw the consumers’ attention and incite a purchase, but also provide information and serve as a facilitator of consumers’ knowledge and competence on products, their nutritional value, use and utilisation. The goal of the research is to assess the impact of IMC for sustainability upon demand at Latvian food retail chains and the impact of the use of IMC for sustainability upon…