Astroglial glucose uptake determines brain FDG-PET alterations and metabolic connectivity during healthy aging in mice.

Purpose: 2-Fluorodeoxyglucose-PET (FDG-PET) is a powerful tool to study glucose metabolism in mammalian brains, but cellular sources of glucose uptake and metabolic connectivity during aging are not yet understood.

Methods: Healthy wild-type mice of both sexes (2-21 months of age) received FDG-PET and cell sorting after in vivo tracer injection (scRadiotracing). FDG uptake per cell was quantified in isolated microglia, astrocytes and neurons.

Free Cognitive Capacity Assessed by the P300 Method During Manual Docking Training in Space.

The classical P300 brain potential method was used to assess the cognitive capacity during training of manual docking in space. The aim of the study was to enhance the safety of this operation during a mission. To examine this, = 8 cosmonauts had to perform the manually controlled docking task simultaneously with an acoustic monitoring task.

CAR virus receptor mediates erythroid differentiation and migration and is downregulated in MDS.

Myelodysplastic syndromes (MDS) are myeloid neoplasms presenting with dysplasia in the bone marrow (BM) and peripheral cytopenia. In most patients anemia develops. We screened for genes that are expressed abnormally in erythroid progenitor cells (EP) and contribute to the pathogenesis of MDS.

Phenotypic characterization of disease-initiating stem cells in JAK2- or CALR-mutated myeloproliferative neoplasms.

Myeloproliferative neoplasms (MPN) are characterized by uncontrolled expansion of myeloid cells, disease-related mutations in certain driver-genes including JAK2, CALR, and MPL, and a substantial risk to progress to secondary acute myeloid leukemia (sAML). Although behaving as stem cell neoplasms, little is known about disease-initiating stem cells in MPN. We established the phenotype of putative CD34 /CD38 stem cells and CD34 /CD38 progenitor cells in MPN.

Operator's Reliability During Spacecraft Docking Training on Board Mir and ISS.

The experimental research PILOT on board the space stations aimed to assess cosmonauts expectable reliability in a mission relevant operation, the manual docking of Soyuz or Progress spacecrafts on the space stations Mir and International Space Station (ISS), respectively. Therefore, a simulation of the docking of two space apparatuses was used for training and research. The methodological approach is described, taking into consideration the level of performance and the individual effort spent, the psychophysiological costs.

Operational and Experimental Tasks, Performance, and Voice in Space.

Voice analysis offers an unobtrusive approach for psychological monitoring. We demonstrate the relationship between voice parameters and cognitive performance in: 1) a task with psychological test character, and 2) performance in an operational, mission-relevant task. The central methodological aim was to verify the usefulness of voice commands and counting in providing anchor values for the step-function model of voice pitch.

An adaptive hybridizable discontinuous Galerkin approach for cardiac electrophysiology.

Cardiac electrophysiology simulations are numerically challenging because of the propagation of a steep electrochemical wave front and thus require discretizations with small mesh sizes to obtain accurate results. In this work, we present an approach based on the hybridizable discontinuous Galerkin method (HDG), which allows an efficient implementation of high-order discretizations into a computational framework. In particular, using the advantage of the discontinuous function space, we present an efficient p-adaptive strategy for accurately tracking the wave front.

Reverse-engineering post-transcriptional regulation of gap genes in Drosophila melanogaster.

Systems biology proceeds through repeated cycles of experiment and modeling. One way to implement this is reverse engineering, where models are fit to data to infer and analyse regulatory mechanisms. This requires rigorous methods to determine whether model parameters can be properly identified.