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We model theoretically a two-dimensional electron gas (2DEG) covered by a superconductor and demonstrate that topological superconducting channels are formed when stripes of the superconducting layer are removed. As a consequence, Majorana bound states (MBSs) are created at the ends of the stripes. We calculate the topological invariant and energy gap of a single stripe, using realistic values for
Socio-economic shocks, technogenic catastrophes, and armed conflicts often have drastic impacts on local and regional food security through disruption of agricultural production and food trade, reduced investments, and deterioration of land and infrastructure. Recently, more research has focused on the effects of armed conflict on land systems, but still little is known about the processes and outSocio-economic shocks, technogenic catastrophes, and armed conflicts often have drastic impacts on local and regional food security through disruption of agricultural production and food trade, reduced investments, and deterioration of land and infrastructure. Recently, more research has focused on the effects of armed conflict on land systems, but still little is known about the processes and out
Strongly interacting one-dimensional (1D) Bose-Fermi mixtures form a tunable XXZ spin chain. Within the spin-chain model developed here, all properties of these systems can be calculated from states representing the ordering of the bosons and fermions within the atom chain and from the ground-state wave function of spinless noninteracting fermions. We validate the model by means of an exact diagon
Osteoporosis is common in the elderly, and it is associated with lifetime exposure to endogenous hormones and vitamin D intake, both of which are associated with cancer development. The association of osteoporosis with subsequent cancer has not been established, and hence we examined here the overall and site-specific cancer risks among Swedish individuals after hospitalization for osteoporosis. P
PURPOSE: Urinary proteomics has become a key discipline within clinical proteomics for noninvasive diagnosis and monitoring of disease, and biomarker discovery. In order to decipher complex proteomes, high demands will, however, be placed upon the methodology applied. The purpose of this study was to develop a recombinant antibody microarray platform for urinary proteomics. EXPERIMENTAL DESIGN: W
Objectives The aim of this paper was to compare selected indication parameters for patients scheduled for hip and knee replacement at orthopaedic units in Sweden. Methods Swedish orthopaedic clinics performing joint replacement were invited to enrol in the study. The study time was set to 2 years (from June 2006 to June 2008). The study subjects were patients undergoing hip or knee replacement for
The conflict between Armenia and Azerbaijan over Nagorno-Karabakh has put the Islamic regime of Iran in a difficult position. While the government is trying to be neutral, other regime elements have openly taken sides in the conflict.
Three different models (STEP–GENDEC–NOflux, Zhang2010, and Surfatm) are used to simulate NO, CO2, and NH3 fluxes at the daily scale for 2 years (2012–2013) in a semi-arid grazed ecosystem at Dahra (15∘24′10′′ N, 15∘25′56′′ W, Senegal, Sahel). Model results are evaluated against experimental results acquired during three field campaigns. At the end of the dry season, when the first rains re-wet the
Objectives: The National Institutes of Health Stroke Scale (NIHSS) has not been validated to diagnose aphasia in the stroke population. We therefore examined the diagnostic accuracy of NIHSS for detecting aphasia in acute ischemic stroke. Methods: Consecutive patients with acute first-ever ischemic stroke were included prospectively in Lund Stroke Register Study at Skåne University Hospital, Swede
Entropy production is a key concept of thermodynamics and allows one to analyze the operation of engines. For the Scovil-Schulz-DuBois heat engine, the archetypal three-level thermal maser coupled to thermal baths, it was argued that the common definition of heat flow may provide negative entropy production for certain parameters [Boukobza and Tannor, Phys. Rev. Lett. 98, 240601 (2007)PRLTAO0031-9
Lung transplantation is the only option for end-stage lung diseases, but organ shortage remains problematic. Generating lungs ex vivo could overcome shortages with current approaches being explored for lung tissue engineering utilizing a biologically derived, synthetic or hybrid scaffold which is seeded with cells and cultured ex vivo. Ideally, cells could be sourced from the transplant recipient
Parkinson’s disease (PD) affects over six million people worldwide and is characterised by the progressive loss of dopaminergic (DA) neurons in the substantia nigra, accumulation of pathological alpha-synuclein (αSyn), and inflammation in the brain. This leads to motor impairments including rigidity, akinesia, bradykinesia, resting tremor, and postural instability. Cell replacement therapy aims to
Thermal machines perform useful tasks, such as producing work, cooling, or heating by exchanging energy, and possibly additional conserved quantities such as particles, with reservoirs. Here we consider thermal machines that perform more than one useful task simultaneously, terming these hybrid thermal machines. We outline their restrictions imposed by the laws of thermodynamics and we quantify th
Inverse problems are important in quantum mechanics and involve such questions as finding which potential give a certain spectrum or which arrangement of atoms give certain properties to a molecule or solid. Inverse problems are typically very hard to solve and tend to be very compute intense. We here show that neural networks can easily solve inverse problems in quantum mechanics. It is known tha
Transmission of respiratory viruses is a complex process involving emission, deposition in the airways, and infection. Inhalation is often the most relevant transmission mode in indoor environments. For severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the risk of inhalation transmission is not yet fully understood. Here, we used an indoor aerosol model combined with a regional inhaled
Artificial intelligence (AI) has been used to develop drug sensitivity prediction models, raising the opportunity of using it for personalized cancer medicine. This chapter describes recent advancements in drug response prediction methods using machine learning algorithms. Pharmacogenomic datasets come with different types of biological data including genetic mutations, gene expression, copy numbe
The article presents an empirical study of informal leadership in an international high-tech company. The empirical work consisted of qualitative observation and shadowing of managers in the company, and a total of 14 interviews. The transcribed fieldnotes and audio recordings of observations and interviews were analyzed thematically, resulting in three central themes: informality, information basThe article presents an empirical study of informal leadership in an international high-tech company. The empirical work consisted of qualitative observation and shadowing of managers in the company, and a total of 14 interviews. The transcribed fieldnotes and audio recordings of observations and interviews were analyzed thematically, resulting in three central themes: informality, information bas
