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Spatially inhomogeneous competition between superconductivity and the charge density wave in YBa2Cu3O6.67

The charge density wave in the high-temperature superconductor YBa2Cu3O7−x (YBCO) has two different ordering tendencies differentiated by their c-axis correlations. These correspond to ferro- (F-CDW) and antiferro- (AF-CDW) couplings between CDWs in neighbouring CuO2 bilayers. This discovery has prompted several fundamental questions: how does superconductivity adjust to two competing orders and a

Vesicular structures formed from barley wort proteins and iso-humulone

In beer, the main amphiphilic components are protein and iso-humulone. Two major populations of protein are identified as lipid transfer protein (LTP) (9.7 kDa) and protein Z (43 kDa). In this paper, protein and iso-humulone are extracted from barley malt and hop, respectively, based on the brewing process. Mixtures of protein and iso-humulone are mixed at different concentrations and centrifuged.

Learning hidden Markov models with persistent states by penalizing jumps

Hidden Markov models are applied in many expert and intelligent systems to detect an underlying sequence of persistent states. When the model is misspecified or misestimated, however, it often leads to unrealistically rapid switching dynamics. To address this issue, we propose a novel estimation approach based on clustering temporal features while penalizing jumps. We compare the approach to spect

Impact of coordinate rotation on eddy covariance fluxes at complex sites

The choice of coordinate system to calculate eddy covariance fluxes becomes particularly relevant at complex measurement sites. The traditional way is to perform double rotation (DR) of the coordinate system i.e., to calculate turbulent fluxes in a coordinate system that is aligned with the flow streamlines within the flux averaging period (e.g., Kaimal and Finnigan, 1994). The second approach, th

Identification of principal chemical subsets of biofuel combustion : Ants walking in renewable fire

The work in this thesis was carried out to highlight important chemical pathways in skeletal mechanisms for the three smallest alcohol fuels (methanol, ethanol and npropanol), two representative fuel alkanes n-heptane and n-decane, and finally the biodiesel surrogates, methyl-decanoate, methyl-5-decenoate, and methyl-9-decenoate. This aim was set up to further the efforts of creating Computational

A reduced chemical kinetic reaction mechanism for kerosene-air combustion

Development of a new reduced chemical kinetic reaction mechanism for kerosene-air combustion is presented. The new mechanism uses a modular based development technique and is a further development on previously presented kerosene-air mechanisms. The new mechanism consists of 30 species and 77 irreversible reactions and is developed to accurate reproduce key flame parameters yet being small enough

Gradient acoustic focusing of sub-micron particles for separation of bacteria from blood lysate

Handling of submicron-sized objects is important in many biochemical and biomedical applications, but few methods today can precisely manipulate this range of particles. We present gradient acoustic focusing that enables flow-through particle separation of submicron particles and cells and we apply it for separation of bacteria from blood lysate to facilitate their detection in whole blood for imp

Structural changes induced by electroconvulsive therapy are associated with clinical outcome

Background: Electroconvulsive therapy (ECT) is the most effective treatment option for major depressive disorder, so understanding whether its clinical effect relates to structural brain changes is vital for current and future antidepressant research. Objective: To determine whether clinical response to ECT is related to structural volumetric changes in the brain as measured by structural magnetic

Optimization of energy and directional response of a small 4π silicon dosemeter for quality control of CT/CBCT-units – A 3D CAD, Monte-Carlo, AM approach

A 4π radiation dosemeter for use in medical radiology was designed. It is based on a solid state silicon detector, a sensor wafer, a flex card, a 3D plastic holder and a spherical stainless steel filter with a distribution of holes around the detector. The detector is attached to the wafer using only low Z material. To achieve an energy and directional response which is as uniform as possible for

Luminescence and vacuum ultraviolet excitation spectroscopy of cerium doped Gd3Ga3Al2O12 single crystalline scintillators under synchrotron radiation excitations

Cerium doped Gd3Ga3Al2O12 (GGAG) single crystals as well as GGAG:Ce single crystals co-doped by divalent (Mg2+, Ca2+), trivalent (Sc3+) or tetravalent (Zr4+, Ti4+) ions have been studied by means of the excitation luminescence spectroscopy in vacuum ultraviolet spectral range. Synchrotron radiation from the undulator beam was utilized for the luminescence excitation in the energy range from 4.5 to

QPDAS: Dual Active Set Solver for Mixed Constraint Quadratic Programming

We present a method for solving the general mixed constrained convex quadratic programming problem using an active set method on the dual problem. The approach is similar to existing active set methods, but we present a new way of solving the linear systems arising in the algorithm. There are two main contributions; we present a new way of factorizing the linear systems, and show how iterative ref

Physical Store Development in the Era of Digitalization : Experiential Learning in Collaboration with City Center Management

Purpose of the Study: This study describes a teaching innovation introduced into a retail course assignment. The purpose with the innovation was to increase students’ level of experiential learning by incorporating digital retail and collaborating with stakeholders. Method/Design: A course assignment allows students in the final semester of a Bachelor Program in Retail Management to develop a busi