University of Basel

About: University of Basel is a education organization based out in Basel, Basel-Stadt, Switzerland. It is known for research contribution in the topics: Population & Transplantation. The organization has 25084 authors who have published 52975 publications receiving 2388002 citations. The organization is also known as: Universität Basel & Basel University.

Clinical presentation and treatment of orthopaedic implant-associated infection.

Abstract: Orthopaedic implants are highly susceptible to infection. The aims of treatment of infection associated with internal fixation devices are fracture consolidation and prevention of chronic osteomyelitis. Complete biofilm eradication is not the primary goal, as remaining adherent microorganisms can be removed with the device after fracture consolidation. By contrast, in periprosthetic joint infection (PJI), biofilm elimination is required. Surgical treatment of PJI includes debridement with retention, one- or two-stage exchange and removal without reimplantation. In addition, prolonged antibiotic treatment, preferably with an agent that is effective against biofilm bacteria, is required. Rifampicin is an example of an antibiotic with these properties against staphylococci. However, to avoid the emergence of resistance, rifampicin must always be combined with another antimicrobial agent. With this novel treatment approach, orthopaedic implant-associated infection is likely to be eradicated in up to 80–90% of patients. Because most antibiotics have a limited effect against biofilm infections, novel prophylactic and therapeutic options are needed. Surface coating with antimicrobial peptides that reduce bacterial attachment and biofilm formation can potentially prevent implant-associated infection. In addition, quorum-sensing inhibitors are a novel therapeutic option against biofilm infections.

Probing atomic structure and Majorana wavefunctions in mono-atomic Fe chains on superconducting Pb surface

Abstract: Motivated by the striking promise of quantum computation, Majorana bound states (MBSs) in solid-state systems have attracted wide attention in recent years. In particular, the wavefunction localisation of MBSs is a key feature and is crucial for their future implementation as qubits. Here we investigate the spatial and electronic characteristics of topological superconducting chains of iron atoms on the surface of Pb(110) by combining scanning tunnelling microscopy and atomic force microscopy. We demonstrate that the Fe chains are mono-atomic, structured in a linear manner and exhibit zero-bias conductance peaks at their ends, which we interpret as signature for a MBS. Spatially resolved conductance maps of the atomic chains reveal that the MBSs are well localised at the chain ends (≲25 nm), with two localisation lengths as predicted by theory. Our observation lends strong support to use MBSs in Fe chains as qubits for quantum-computing devices. Majorana bound states in one-dimensional nanowires have attracted wide attention in recent years due to their potential use as qubits for topological quantum computation based on braiding. Scientists at the University of Basel have assembled mono-atomic iron chains on the surface of superconducting lead Pb(110) and combined for the first time scanning tunneling microscopy and atomic force microscopy to spatially characterize the chains down to the atomic scale. The Majorana bound states appear as a zero-energy mode in the STM and as a pronounced halo in the AFM measurement at 5K, disappear above the superconducting state of lead and are well-localized at the chain ends (25 nm) with two localization lengths and wave function oscillations as predicted by theory. These observations thus lend strong support to the existence of Majorana bound states in hybrid Fe/Pb systems and provide strong motivation to use them as qubits for quantum computing devices.

Estimating 3D shape and texture using pixel intensity, edges, specular highlights, texture constraints and a prior

Abstract: We present a novel algorithm aiming to estimate the 3D shape, the texture of a human face, along with the 3D pose and the light direction from a single photograph by recovering the parameters of a 3D morphable model. Generally, the algorithms tackling the problem of 3D shape estimation from image data use only the pixels intensity as input to drive the estimation process. This was previously achieved using either a simple model, such as the Lambertian reflectance model, leading to a linear fitting algorithm. Alternatively, this problem was addressed using a more precise model and minimizing a non-convex cost function with many local minima. One way to reduce the local minima problem is to use a stochastic optimization algorithm. However, the convergence properties (such as the radius of convergence) of such algorithms, are limited. Here, as well as the pixel intensity, we use various image features such as the edges or the location of the specular highlights. The 3D shape, texture and imaging parameters are then estimated by maximizing the posterior of the parameters given these image features. The overall cost function obtained is smoother and, hence, a stochastic optimization algorithm is not needed to avoid the local minima problem. This leads to the multi-features fitting algorithm that has a wider radius of convergence and a higher level of precision. This is shown on some example photographs, and on a recognition experiment performed on the CMU-PIE image database.

Acute effects of moderate aerobic exercise on specific aspects of executive function in different age and fitness groups: A meta-analysis.

Abstract: Whereas a wealth of studies have investigated acute effects of moderate aerobic exercise on executive function, the roles of age, fitness, and the component of executive function in this relationship still remain unclear. Therefore, the present meta-analysis investigates exercise-induced benefits on specific aspects of executive function in different age and aerobic fitness subgroups. Based on data from 40 experimental studies, a small effect of aerobic exercise on time-dependent measures (g = .35) and accuracy (g = .22) in executive function tasks was confirmed. The results further suggest that preadolescent children (g = .54) and older adults (g = .67) compared to other age groups benefit more from aerobic exercise when reaction time is considered as dependent variable. In contrast to age, aerobic fitness and the executive function component had no influence on the obtained effect sizes. Consequently, high aerobic fitness is no prerequisite for temporary improvements of the executive control system, and low- as well as high-fit individuals seem to benefit from exercise in a similar way. However, a higher sensitivity of executive function to acute aerobic exercise was found in individuals undergoing developmental changes. Therefore, preadolescent children and older adults in particular might strategically use a single aerobic exercise session to prepare for a situation demanding high executive control.