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This thesis contributes to econometric methodology in terms of estimation and inference in static panel data models with unobserved multidimensional heterogeneity. When not properly accounted for, unobserved heterogeneity may introduce bias into the parameter estimates associated with covariates of interest, such as treatment indicators or determinants of macroeconomic indicators. A common way of
Automatic construction of Shape and Appearance Models from examples via establishing correspondences across the training set has been successful in the last decades. One successful measure for establishing correspondences of high quality is minimum description length (MDL). In other approaches it has been shown that parts+geometry models which model the appearance of parts of the object and the g
Adhesive joints have been known andapplied for timber structures for decades. Hybridjoints with glued-in rods are nowadays successfullyused for both constructing new and strengtheningexisting timber structures. Since the 1980s theresearch and development of timber joints withbonded-in rods have been going on, however agreementregarding design criteria for these connectionshas not been reached.
Efficient extraction of thermal energy from electrons at the micro- and nanoscale is a long-standing scientific goal that could enable novel types of heat engines, heat management, and solar cell applications. Semiconductor nanowires are a promising system for investigating such devices for several reasons, such as their thermoelectric properties, and the potential to be grown in heterostructures
We perform a detailed study of the sources of perturbative uncertainty in parton-shower predictions within the Herwig 7 event generator. We benchmark two rather different parton-shower algorithms, based on angular-ordered and dipole-type evolution, against each other. We deliberately choose leading order plus parton shower as the benchmark setting to identify a controllable set of uncertainties. T
An algorithm is presented in which the Colour-Dipole Cascade Model as implemented in the Ariadne program is corrected to match the fixed order tree-level matrix elements for e e(+) --> n jets. The result is a full parton level generator for e e(+) annihilation where the generated states are correct on tree-level to fixed order in alpha(s) and to all orders with modified leading logarithmic (MLLA)
The properties of embedded V2-clauses in Mainland Scandinavian, as opposed to non-V2 clauses, have been a topic of much debate recently. This paper defends the view that all V2 clauses have illocutionary force, which for a declarative clause means that it is asserted. First clauses embedded under the predicate types identified by Hooper & Thompson (1973) are discussed, and it is shown that the
The coadsorption of water and preadsorbed oxygen on Ru{0001) was studied by synchrotron-based high-resolution x-ray photoelectron spectroscopy. A dramatic change was observed in the interaction of water with oxygen between low and high oxygen precoverages. Low oxygen coverages below 0.18 ML induce partial dissociation, which leads to an adsorbed layer of H2O and OH. Around half the oxygen atoms ta
Vertical III-V nanowire MOSFETs have demonstrated excellent performance including high transconductance and high Ion. One main bottleneck for the vertical MOSFETs is the large access resistance arising from the contacts and ungated regions. We demonstrate a process to reduce the access resistance by combining a gate-last process with ALD gate-metal deposition. The devices demonstrate fully scalabl
Deposition, annealing, and integration of ferroelectric Hf x Zr 1 - x O 2 (HZO) thin films on the high-mobility semiconductor InAs using atomic layer deposition are investigated. Electrical characterization reveals that the HZO films on InAs exhibit an enhanced remanent polarization compared to films formed on a reference TiN substrate, exceeding 20 μ C / cm 2 even down to an annealing temperature
This study demonstrates a method for predicting the dynamic fuel consumption on board ships using automated machine learning algorithms, fed only with data for larger time intervals from 12 hours up to 96 hours. The machine learning algorithm trained on dynamic data from shorter time intervals of the engine features together with longer time interval data for the fuel consumption. To give the oper
Background: Severe asthma has an acknowledged impact on health-related quality of life (HRQOL) and is associated with substantial health care costs. This study aimed to investigate the patients’ own experiences of the disease, perceptions of HRQOL, and awareness of disease management. Methods: This study included severe asthma patients in Sweden and Denmark. A quantitative Web-based survey and qua
Background: During the 21st century, diabetes mellitus (DM) and peripheral artery disease (PAD) have become global problems. It is estimated that 19-34% of individuals with DM will develop a foot ulcer during their lifetime, and many will be amputated.Aim:-To study dietary and lifestyle factors associated with prevention of PAD among individuals with DM. -To evaluate outcomes after vascular and en
Precipitation profiles of spot immunoprecipitate assay (SIA) reactions in gel are shown to have characteristics analogous to classic precipitin curves representing such immune reactions in solution. Thus SIA profiles of precipitated human albumin (HSA) and anti-HSA as checkerboard analysis permit: (1) determination of optimal proportions of antibody and antigen, (2) titration of antiserum as to an
Vertex-reinforced random walk is a random process which visits a site with probability proportional to the weight w k of the number k of previous visits. We show that if w k ∼ k α, then there is a large time T 0 such that after T 0 the walk visits 2, 5, or ∞ sites when α < 1, = 1, or > 1, respectively. More general results are also proven.
We present photon correlation measurements performed on a device based on single InP quantum dots. The device consists of a 400 nm thick membrane containing a low density of quantum dots on a metal mirror. Measurements done under continuous excitation reveal a very pronounced antibunching dip while measurements done under pulsed excitation enable the generation of single photons on demand at the o
ScopeAccurate numerical modeling of fluid transport is essential in reservoir management. Higher-order methods help to improve accuracy by reducing the numerical diffusion, which is common for all first order methods. In this paper, we present an implementation of a MUSCL-type second-order finite volume method and demonstrate its capabilities on 2D and 3D unstructured grids. This includes corner p
In this note, we deduce a bound between fast algebraic immunity and higher order nonlinearity (it is the first time that a bound between these two cryptographic criteria is given), and find that a Boolean function should have high r-order nonlinearity to resist fast algebraic attacks. As a corollary, we find that no matter how much effort we make, the Tu-Deng functions cannot be repaired in a stan
Second or higher order probabilities have commonly been viewed with scepticism by those working within the realm of probability and decision theory. The aim of the present note is to show how the notion of second order probabilities can add to our understanding of judgmental and decision processes and how the traditional framework of Bayesian decision theory can be extended in a fruitful way by ta
