@article{HeroldBehrendtMeissneretal.2022, author = {Herold, Fabian and Behrendt, Tom and Meißner, Caroline and M{\"u}ller, Notger Germar and Schega, Lutz}, title = {The Influence of acute sprint interval training on cognitive performance of healthy younger adults}, series = {International journal of environmental research and public health : IJERPH / Molecular Diversity Preservation International}, volume = {19}, journal = {International journal of environmental research and public health : IJERPH / Molecular Diversity Preservation International}, number = {1}, publisher = {MDPI}, address = {Basel}, issn = {1660-4601}, doi = {10.3390/ijerph19010613}, pages = {14}, year = {2022}, abstract = {There is considerable evidence showing that an acute bout of physical exercises can improve cognitive performance, but the optimal exercise characteristics (e.g., exercise type and exercise intensity) remain elusive. In this regard, there is a gap in the literature to which extent sprint interval training (SIT) can enhance cognitive performance. Thus, this study aimed to investigate the effect of a time-efficient SIT, termed as "shortened-sprint reduced-exertion high-intensity interval training" (SSREHIT), on cognitive performance. Nineteen healthy adults aged 20-28 years were enrolled and assessed for attentional performance (via the d2 test), working memory performance (via Digit Span Forward/Backward), and peripheral blood lactate concentration immediately before and 10 min after an SSREHIT and a cognitive engagement control condition (i.e., reading). We observed that SSREHIT can enhance specific aspects of attentional performance, as it improved the percent error rate (F\%) in the d-2 test (t (18) = -2.249, p = 0.037, d = -0.516), which constitutes a qualitative measure of precision and thoroughness. However, SSREHIT did not change other measures of attentional or working memory performance. In addition, we observed that the exercise-induced increase in the peripheral blood lactate levels correlated with changes in attentional performance, i.e., the total number of responses (GZ) (r(m) = 0.70, p < 0.001), objective measures of concentration (SKL) (r(m) = 0.73, p < 0.001), and F\% (r(m) = -0.54, p = 0.015). The present study provides initial evidence that a single bout of SSREHIT can improve specific aspects of attentional performance and conforming evidence for a positive link between cognitive improvements and changes in peripheral blood lactate levels.}, language = {en} } @inproceedings{PepplerFeisstSchneideretal.2023, author = {Peppler, Lisa and Feißt, Martin and Schneider, Anna and Apelt, Maja and Schenk, Liane}, title = {Beyond one-sided expectations of integration}, series = {European journal of public health}, volume = {33}, booktitle = {European journal of public health}, number = {Supplement 2}, publisher = {Oxford University Press}, address = {London}, issn = {1101-1262}, doi = {10.1093/eurpub/ckad160.1484}, pages = {1}, year = {2023}, abstract = {Background: Like most countries, Germany is currently recruiting international nurses due to staff shortages. While these are mostly academic, the academisation of nursing in Germany has only just begun. This allows for a broader look at the participation of migrant nurses: How do care teams deal with the fact that immigrant colleagues are theoretically more highly qualified than long-established colleagues? Methods: Case studies were conducted in four inpatient care teams of two hospitals in 2022. Qualitative data include 26 observation protocols, 4 group discussions and 17 guided interviews. These were analysed using the documentary method and validated intersubjectively. Results: Due to current academisation efforts in Germany and the immigration of academised nursing staff from abroad, the areas of activity and responsibility of nursing in Germany are under negotiating pressure. This concerns basic care for example, which in Germany is provided by skilled workers, but in other countries is mostly provided by assistants or relatives. The question of who should provide basic care, whether all nurses or only nursing assistants, documents the struggle between an established and a new understanding of care. In this context, the knowledge and skills of migrant and academicised care workers become a crucial aspect in the struggle for a new professional identity for care in Germany. Conclusions: The specific situation in Germany makes it possible to show the potential for change that international care migration can constitute for destination countries. The far-reaching process of change of German nursing is given a further dimension not only by its academization, but by the immigration of international and academically trained nursing staff, where inclusive or exclusive effects can already be observed. Key messages: The increasing proportion of migrant nurses accelerates the current discussion on nursing in Germany. Conflict areas show up in everyday work of care teams and must be addressed there.}, language = {en} } @article{GonzalezHauckHerrmannHettihewaetal.2022, author = {Gonz{\´a}lez Hauck, Su{\´e} and Herrmann, Franziska and Hettihewa, Julian A. and Kraft, Dariush and Milas, Max and Springer, Stephanie and Weckner, Franka}, title = {Jurisdiction}, series = {Zeitschrift f{\"u}r ausl{\"a}ndisches {\"o}ffentliches Recht und V{\"o}lkerrecht}, volume = {82}, journal = {Zeitschrift f{\"u}r ausl{\"a}ndisches {\"o}ffentliches Recht und V{\"o}lkerrecht}, number = {2}, publisher = {C.H. Beck}, address = {M{\"u}nchen}, issn = {0044-2348}, doi = {10.17104/0044-2348-2022-2-289}, pages = {289 -- 298}, year = {2022}, language = {en} } @article{McHuronAdamczakArnouldetal.2022, author = {McHuron, Elizabeth A. and Adamczak, Stephanie and Arnould, John P. Y. and Ashe, Erin and Booth, Cormac and Bowen, W. Don and Christiansen, Fredrik and Chudzinska, Magda and Costa, Daniel P. and Fahlman, Andreas and Farmer, Nicholas A. and Fortune, Sarah M. E. and Gallagher, Cara A. and Keen, Kelly A. and Madsen, Peter T. and McMahon, Clive R. and Nabe-Nielsen, Jacob and Noren, Dawn P. and Noren, Shawn R. and Pirotta, Enrico and Rosen, David A. S. and Speakman, Cassie N. and Villegas-Amtmann, Stella and Williams, Rob}, title = {Key questions in marine mammal bioenergetics}, series = {Conservation physiology}, volume = {10}, journal = {Conservation physiology}, number = {1}, publisher = {Oxford Univ. Press}, address = {Oxford}, issn = {2051-1434}, doi = {10.1093/conphys/coac055}, pages = {17}, year = {2022}, abstract = {Bioenergetic approaches are increasingly used to understand how marine mammal populations could be affected by a changing and disturbed aquatic environment. There remain considerable gaps in our knowledge of marine mammal bioenergetics, which hinder the application of bioenergetic studies to inform policy decisions. We conducted a priority-setting exercise to identify high-priority unanswered questions in marine mammal bioenergetics, with an emphasis on questions relevant to conservation and management. Electronic communication and a virtual workshop were used to solicit and collate potential research questions from the marine mammal bioenergetic community. From a final list of 39 questions, 11 were identified as 'key'questions because they received votes from at least 50\% of survey participants. Key questions included those related to energy intake (prey landscapes, exposure to human activities) and expenditure (field metabolic rate, exposure to human activities, lactation, time-activity budgets), energy allocation priorities, metrics of body condition and relationships with survival and reproductive success and extrapolation of data from one species to another. Existing tools to address key questions include labelled water, animal-borne sensors, mark-resight data from long-term research programs, environmental DNA and unmanned vehicles. Further validation of existing approaches and development of new methodologies are needed to comprehensively address some key questions, particularly for cetaceans. The identification of these key questions can provide a guiding framework to set research priorities, which ultimately may yield more accurate information to inform policies and better conserve marine mammal populations.}, language = {en} } @inproceedings{PanzerBenderGronau2021, author = {Panzer, Marcel and Bender, Benedict and Gronau, Norbert}, title = {Deep reinforcement learning in production planning and control}, series = {Proceedings of the Conference on Production Systems and Logistics}, booktitle = {Proceedings of the Conference on Production Systems and Logistics}, publisher = {Institutionelles Repositorium der Leibniz Universit{\"a}t Hannover}, address = {Hannover}, issn = {2701-6277}, doi = {10.15488/11238}, pages = {535 -- 545}, year = {2021}, abstract = {Increasingly fast development cycles and individualized products pose major challenges for today's smart production systems in times of industry 4.0. The systems must be flexible and continuously adapt to changing conditions while still guaranteeing high throughputs and robustness against external disruptions. Deep rein- forcement learning (RL) algorithms, which already reached impressive success with Google DeepMind's AlphaGo, are increasingly transferred to production systems to meet related requirements. Unlike supervised and unsupervised machine learning techniques, deep RL algorithms learn based on recently collected sensor- and process-data in direct interaction with the environment and are able to perform decisions in real-time. As such, deep RL algorithms seem promising given their potential to provide decision support in complex environments, as production systems, and simultaneously adapt to changing circumstances. While different use-cases for deep RL emerged, a structured overview and integration of findings on their application are missing. To address this gap, this contribution provides a systematic literature review of existing deep RL applications in the field of production planning and control as well as production logistics. From a performance perspective, it became evident that deep RL can beat heuristics significantly in their overall performance and provides superior solutions to various industrial use-cases. Nevertheless, safety and reliability concerns must be overcome before the widespread use of deep RL is possible which presumes more intensive testing of deep RL in real world applications besides the already ongoing intensive simulations.}, language = {en} } @article{KaylerPremkeGessleretal.2019, author = {Kayler, Zachary E. and Premke, Katrin and Gessler, Arthur and Gessner, Mark O. and Griebler, Christian and Hilt, Sabine and Klemedtsson, Leif and Kuzyakov, Yakov and Reichstein, Markus and Siemens, Jan and Totsche, Kai-Uwe and Tranvik, Lars and Wagner, Annekatrin and Weitere, Markus and Grossart, Hans-Peter}, title = {Integrating Aquatic and Terrestrial Perspectives to Improve Insights Into Organic Matter Cycling at the Landscape Scale}, series = {Frontiers in Earth Science}, volume = {7}, journal = {Frontiers in Earth Science}, publisher = {Frontiers Research Foundation}, address = {Lausanne}, issn = {2296-6463}, doi = {10.3389/feart.2019.00127}, pages = {14}, year = {2019}, abstract = {Across a landscape, aquatic-terrestrial interfaces within and between ecosystems are hotspots of organic matter (OM) mineralization. These interfaces are characterized by sharp spatio-temporal changes in environmental conditions, which affect OM properties and thus control OM mineralization and other transformation processes. Consequently, the extent of OM movement at and across aquatic-terrestrial interfaces is crucial in determining OM turnover and carbon (C) cycling at the landscape scale. Here, we propose expanding current concepts in aquatic and terrestrial ecosystem sciences to comprehensively evaluate OM turnover at the landscape scale. We focus on three main concepts toward explaining OM turnover at the landscape scale: the landscape spatiotemporal context, OM turnover described by priming and ecological stoichiometry, and anthropogenic effects as a disruptor of natural OM transfer magnitudes and pathways. A conceptual framework is introduced that allows for discussing the disparities in spatial and temporal scales of OM transfer, changes in environmental conditions, ecosystem connectivity, and microbial-substrate interactions. The potential relevance of priming effects in both terrestrial and aquatic systems is addressed. For terrestrial systems, we hypothesize that the interplay between the influx of OM, its corresponding elemental composition, and the elemental demand of the microbial communities may alleviate spatial and metabolic thresholds. In comparison, substrate level OM dynamics may be substantially different in aquatic systems due to matrix effects that accentuate the role of abiotic conditions, substrate quality, and microbial community dynamics. We highlight the disproportionate impact anthropogenic activities can have on OM cycling across the landscape. This includes reversing natural OM flows through the landscape, disrupting ecosystem connectivity, and nutrient additions that cascade across the landscape. This knowledge is crucial for a better understanding of OM cycling in a landscape context, in particular since terrestrial and aquatic compartments may respond differently to the ongoing changes in climate, land use, and other anthropogenic interferences.}, language = {en} } @article{LundgreenJaspersTravingetal.2019, author = {Lundgreen, Regitze B. C. and Jaspers, Cornelia and Traving, Sachia J. and Ayala, Daniel J. and Lombard, Fabien and Grossart, Hans-Peter and Nielsen, Torkel G. and Munk, Peter and Riemann, Lasse}, title = {Eukaryotic and cyanobacterial communities associated with marine snow particles in the oligotrophic Sargasso Sea}, series = {Scientific reports}, volume = {9}, journal = {Scientific reports}, publisher = {Nature Publ. Group}, address = {London}, issn = {2045-2322}, doi = {10.1038/s41598-019-45146-7}, pages = {12}, year = {2019}, abstract = {Marine snow aggregates represent heterogeneous agglomerates of dead and living organic matter. Composition is decisive for their sinking rates, and thereby for carbon flux to the deep sea. For oligotrophic oceans, information on aggregate composition is particularly sparse. To address this, the taxonomic composition of aggregates collected from the subtropical and oligotrophic Sargasso Sea (Atlantic Ocean) was characterized by 16S and 18S rRNA gene sequencing. Taxonomy assignment was aided by a collection of the contemporary plankton community consisting of 75 morphologically and genetically identified plankton specimens. The diverse rRNA gene reads of marine snow aggregates, not considering Trichodesmium puffs, were dominated by copepods (52\%), cnidarians (21\%), radiolarians (11\%), and alveolates (8\%), with sporadic contributions by cyanobacteria, suggesting a different aggregate composition than in eutrophic regions. Composition linked significantly with sampling location but not to any measured environmental parameters or plankton biomass composition. Nevertheless, indicator and network analyses identified key roles of a few rare taxa. This points to complex regulation of aggregate composition, conceivably affected by the environment and plankton characteristics. The extent to which this has implications for particle densities, and consequently for sinking rates and carbon sequestration in oligotrophic waters, needs further interrogation.}, language = {en} } @article{NumbergerGanzertZoccaratoetal.2019, author = {Numberger, Daniela and Ganzert, Lars and Zoccarato, Luca and M{\"u}hldorfer, Kristin and Sauer, Sascha and Grossart, Hans-Peter and Greenwood, Alex D.}, title = {Characterization of bacterial communities in wastewater with enhanced taxonomic resolution by full-length 16S rRNA sequencing}, series = {Scientific reports}, volume = {9}, journal = {Scientific reports}, publisher = {Nature Publ. Group}, address = {London}, issn = {2045-2322}, doi = {10.1038/s41598-019-46015-z}, pages = {14}, year = {2019}, abstract = {Wastewater treatment is crucial to environmental hygiene in urban environments. However, wastewater treatment plants (WWTPs) collect chemicals, organic matter, and microorganisms including pathogens and multi-resistant bacteria from various sources which may be potentially released into the environment via WWTP effluent. To better understand microbial dynamics in WWTPs, we characterized and compared the bacterial community of the inflow and effluent of a WWTP in Berlin, Germany using full-length 16S rRNA gene sequences, which allowed for species level determination in many cases and generally resolved bacterial taxa. Significantly distinct bacterial communities were identified in the wastewater inflow and effluent samples. Dominant operational taxonomic units (OTUs) varied both temporally and spatially. Disease associated bacterial groups were efficiently reduced in their relative abundance from the effluent by the WWTP treatment process, except for Legionella and Leptospira species which demonstrated an increase in relative proportion from inflow to effluent. This indicates that WWTPs, while effective against enteric bacteria, may enrich and release other potentially pathogenic bacteria into the environment. The taxonomic resolution of full-length 16S rRNA genes allows for improved characterization of potential pathogenic taxa and other harmful bacteria which is required to reliably assess health risk.}, language = {en} } @article{NumbergerDreierVullioudetal.2019, author = {Numberger, Daniela and Dreier, Carole and Vullioud, Colin and Gabriel, G{\"u}lsah and Greenwood, Alex D. and Grossart, Hans-Peter}, title = {Recovery of influenza a viruses from lake water and sediments by experimental inoculation}, series = {PLoS one}, volume = {14}, journal = {PLoS one}, number = {5}, publisher = {PLoS}, address = {San Fransisco}, issn = {1932-6203}, doi = {10.1371/journal.pone.0216880}, pages = {13}, year = {2019}, abstract = {Influenza A viruses (IAV) are zoonotic pathogens relevant to human, domestic animal and wildlife health. Many avian IAVs are transmitted among waterfowl via a faecal-oral-route. Therefore, environmental water where waterfowl congregate may play an important role in the ecology and epidemiology of avian IAV. Water and sediment may sustain and transmit virus among individuals or species. It is unclear at what concentrations waterborne viruses are infectious or remain detectable. To address this, we performed lake water and sediment dilution experiments with varying concentrations or infectious doses of four IAV strains from seal, turkey, duck and gull. To test for infectivity of the IAV strains in a concentration dependent manner, we applied cultivation to specific pathogen free (SPF) embryonated chicken eggs and Madin-Darby Canine Kidney (MDCK) cells. IAV recovery was more effective from embryonated chicken eggs than MDCK cells for freshwater lake dilutions, whereas, MDCK cells were more effective for viral recovery from sediment samples. Low infectious dose (1 PFU/200 mu L) was sufficient in most cases to detect and recover IAV from lake water dilutions. Sediment required higher initial infectious doses (>= 100 PFU/200 mu L).}, language = {en} } @article{RojasJimenezGrossartCordesetal.2020, author = {Rojas-Jimenez, Keilor and Grossart, Hans-Peter and Cordes, Erik and Cort{\´e}s, Jorge}, title = {Fungal Communities in Sediments Along a Depth Gradient in the Eastern Tropical Pacific}, series = {Frontiers in Microbiology}, volume = {11}, journal = {Frontiers in Microbiology}, publisher = {Frontiers Media}, address = {Lausanne}, issn = {1664-302X}, doi = {10.3389/fmicb.2020.575207}, pages = {9}, year = {2020}, abstract = {Deep waters represent the largest biome on Earth and the largest ecosystem of Costa Rica. Fungi play a fundamental role in global biogeochemical cycling in marine sediments, yet, they remain little explored. We studied fungal diversity and community composition in several marine sediments from 16 locations sampled along a bathymetric gradient (from a depth of 380 to 3,474 m) in two transects of about 1,500 km length in the Eastern Tropical Pacific (ETP) of Costa Rica. Sequence analysis of the V7-V8 region of the 18S rRNA gene obtained from sediment cores revealed the presence of 787 fungal amplicon sequence variants (ASVs). On average, we detected a richness of 75 fungal ASVs per sample. Ascomycota represented the most abundant phylum with Saccharomycetes constituting the dominant class. Three ASVs accounted for ca. 63\% of all fungal sequences: the yeast Metschnikowia (49.4\%), Rhizophydium (6.9\%), and Cladosporium (6.7\%). We distinguished a cluster composed mainly by yeasts, and a second cluster by filamentous fungi, but we were unable to detect a strong effect of depth and the overlying water temperature, salinity, dissolved oxygen (DO), and pH on the composition of fungal communities. We highlight the need to understand further the ecological role of fungi in deep-sea ecosystems.}, language = {en} }