Refine
Year of publication
Document Type
- Article (30)
- Monograph/Edited Volume (2)
- Part of Periodical (1)
Keywords
Institute
- Institut für Physik und Astronomie (24)
- Historisches Institut (3)
- Department Sport- und Gesundheitswissenschaften (2)
- Arbeitskreis Militär und Gesellschaft in der Frühen Neuzeit e. V. (1)
- Department Psychologie (1)
- Humanwissenschaftliche Fakultät (1)
- Institut für Biochemie und Biologie (1)
- Institut für Chemie (1)
- Institut für Geowissenschaften (1)
Hier geblieben?
(2022)
Die historische Forschung hat seit längerem herausgearbeitet, dass Migration nichts von einer Norm Abweichendes ist, sondern vielmehr ein »konstitutives Element der Menschheitsgeschichte« (J. Oltmer), der Mensch mithin stets ein »homo migrans« (K.-J. Bade) war. Auch die Geschichte Brandenburgs wurde seit jeher von Einwanderungsprozessen geprägt. Von »Toleranz« im modernen Sinne kann freilich keine Rede sein, sondern meistens ging es um ökonomisch nutzbringende Aufnahme bestimmter Gruppen. Sehr oft waren die Ansiedlungen aber auch das Ergebnis von Flucht, Vertreibung und kriegerischer Gewalt. Der vorliegende Band zeigt anhand von Beispielen vom frühen Mittelalter bis zur Gegenwart die Bedeutung der Zuwanderung für Brandenburg auf. Der Bogen reicht von der slawischen Einwanderung des 8./9. Jahrhunderts bis zur Ankunft russisch-jüdischer »Kontingentflüchtlinge« im Gefolge der deutschen Wiedervereinigung, von Niederländern, Juden, Hugenotten, Revolutionsflüchtlingen in der Frühen Neuzeit bis hin zu Muslimen, Zwangsarbeitern, Vertriebenen und DDR-»Fremdarbeitern« im 20. Jahrhundert – eine Geschichte der Vielfalt des brandenburgischen Raumes und seiner Bevölkerung im Spiegel der Zuwanderung.
Effects of intermittent hypoxia-hyperoxia on performance- and health-related outcomes in humans
(2022)
Background:
Intermittent hypoxia applied at rest or in combination with exercise promotes multiple beneficial adaptations with regard to performance and health in humans. It was hypothesized that replacing normoxia by moderate hyperoxia can increase the adaptive response to the intermittent hypoxic stimulus.
Objective:
Our objective was to systematically review the current state of the literature on the effects of chronic intermittent hypoxia-hyperoxia (IHH) on performance- and health-related outcomes in humans.
Methods:
PubMed, Web of Science (TM), Scopus, and Cochrane Library databases were searched in accordance with PRISMA guidelines (January 2000 to September 2021) using the following inclusion criteria: (1) original research articles involving humans, (2) investigation of the chronic effect of IHH, (3) inclusion of a control group being not exposed to IHH, and (4) articles published in peer-reviewed journals written in English.
Results:
Of 1085 articles initially found, eight studies were included. IHH was solely performed at rest in different populations including geriatric patients (n = 1), older patients with cardiovascular (n = 3) and metabolic disease (n = 2) or cognitive impairment (n = 1), and young athletes with overtraining syndrome (n = 1). The included studies confirmed the beneficial effects of chronic exposure to IHH, showing improvements in exercise tolerance, peak oxygen uptake, and global cognitive functions, as well as lowered blood glucose levels. A trend was discernible that chronic exposure to IHH can trigger a reduction in systolic and diastolic blood pressure. The evidence of whether IHH exerts beneficial effects on blood lipid levels and haematological parameters is currently inconclusive. A meta-analysis was not possible because the reviewed studies had a considerable heterogeneity concerning the investigated populations and outcome parameters.
Conclusion:
Based on the published literature, it can be suggested that chronic exposure to IHH might be a promising non-pharmacological intervention strategy for improving peak oxygen consumption, exercise tolerance, and cognitive performance as well as reducing blood glucose levels, and systolic and diastolic blood pressure in older patients with cardiovascular and metabolic diseases or cognitive impairment. However, further randomized controlled trials with adequate sample sizes are needed to confirm and extend the evidence. This systematic review was registered on the international prospective register of systematic reviews (PROSPERO-ID: CRD42021281248) (https://www.crd.york.ac.uk/prospero/).
Crop model intercomparison studies have mostly focused on the assessment of predictive capabilities for crop development using weather and basic soil data from the same location. Still challenging is the model performance when considering complex interrelations between soil and crop dynamics under a changing climate. The objective of this study was to test the agronomic crop and environmental flux-related performance of a set of crop models. The aim was to predict weighing lysimeter-based crop (i.e., agronomic) and water-related flux or state data (i.e., environmental) obtained for the same soil monoliths that were taken from their original environment and translocated to regions with different climatic conditions, after model calibration at the original site. Eleven models were deployed in the study. The lysimeter data (2014-2018) were from the Dedelow (Dd), Bad Lauchstadt (BL), and Selhausen (Se) sites of the TERENO (TERrestrial ENvironmental Observatories) SOILCan network. Soil monoliths from Dd were transferred to the drier and warmer BL site and the wetter and warmer Se site, which allowed a comparison of similar soil and crop under varying climatic conditions. The model parameters were calibrated using an identical set of crop- and soil-related data from Dd. Environmental fluxes and crop growth of Dd soil were predicted for conditions at BL and Se sites using the calibrated models. The comparison of predicted and measured data of Dd lysimeters at BL and Se revealed differences among models. At site BL, the crop models predicted agronomic and environmental components similarly well. Model performance values indicate that the environmental components at site Se were better predicted than agronomic ones. The multi-model mean was for most observations the better predictor compared with those of individual models. For Se site conditions, crop models failed to predict site-specific crop development indicating that climatic conditions (i.e., heat stress) were outside the range of variation in the data sets considered for model calibration. For improving predictive ability of crop models (i.e., productivity and fluxes), more attention should be paid to soil-related data (i.e., water fluxes and system states) when simulating soil-crop-climate interrelations in changing climatic conditions.