| 1. |
- Lembrechts, Jonas J., et al.
(författare)
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SoilTemp : A global database of near-surface temperature
- 2020
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Ingår i: Global Change Biology. - : Wiley. - 1354-1013 .- 1365-2486. ; 26:11, s. 6616-6629
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Tidskriftsartikel (refereegranskat)abstract
- Current analyses and predictions of spatially explicit patterns and processes in ecology most often rely on climate data interpolated from standardized weather stations. This interpolated climate data represents long-term average thermal conditions at coarse spatial resolutions only. Hence, many climate-forcing factors that operate at fine spatiotemporal resolutions are overlooked. This is particularly important in relation to effects of observation height (e.g. vegetation, snow and soil characteristics) and in habitats varying in their exposure to radiation, moisture and wind (e.g. topography, radiative forcing or cold-air pooling). Since organisms living close to the ground relate more strongly to these microclimatic conditions than to free-air temperatures, microclimatic ground and near-surface data are needed to provide realistic forecasts of the fate of such organisms under anthropogenic climate change, as well as of the functioning of the ecosystems they live in. To fill this critical gap, we highlight a call for temperature time series submissions to SoilTemp, a geospatial database initiative compiling soil and near-surface temperature data from all over the world. Currently, this database contains time series from 7,538 temperature sensors from 51 countries across all key biomes. The database will pave the way toward an improved global understanding of microclimate and bridge the gap between the available climate data and the climate at fine spatiotemporal resolutions relevant to most organisms and ecosystem processes.
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| 2. |
- Biffl, Stefan, et al.
(författare)
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An Industry 4.0 Asset-Based Coordination Artifact for Production Systems Engineering
- 2021
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Ingår i: Proceedings - 2021 IEEE 23rd Conference on Business Informatics, CBI 2021 - Main Papers, Volume 2. - : IEEE. - 9781665420693 ; , s. 92-101
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Konferensbidrag (refereegranskat)abstract
- In Cyber-Physical Production System (CPPS) engineering, domain experts design assets like products, production processes, and resources. However, the representation of dependencies between assets in heterogeneous engineering artifacts, like system plans, models, and tool data, is insufficient to coordinate engineering activities, like changes to shared asset properties, as it increases the risk of unplanned rework and project delay. While Industry 4.0 (I4.0) assets, defined in RAMI 4.0, allow representing multi-disciplinary views on assets, it remains open how to leverage this capability to coordinate changes in CPPS engineering. In this paper, we introduce the Product- Process-Resource Asset Network (PAN) coordination artifact, a knowledge graph based on I4.0 assets. We argue that the PAN coordination artifact fosters an explicit representation of change dependencies and engineering knowledge, improving capabilities for coordinating changes efficiently. In a feasibility study, we investigate the coordination capabilities of a PAN that represents change dependencies on a typical robot work cell in automotive manufacturing. Results show that the PAN provides effective capabilities for identifying risky assets for re-validation after changes.
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| 3. |
- Schmidt, Sebastian, et al.
(författare)
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A reversible state of hypometabolism in a human cellular model of sporadic Parkinson's disease
- 2023
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Ingår i: Nature Communications. - 2041-1723. ; 14:1
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Tidskriftsartikel (refereegranskat)abstract
- Sporadic Parkinson's Disease (sPD) is a progressive neurodegenerative disorder caused by multiple genetic and environmental factors. Mitochondrial dysfunction is one contributing factor, but its role at different stages of disease progression is not fully understood. Here, we showed that neural precursor cells and dopaminergic neurons derived from induced pluripotent stem cells (hiPSCs) from sPD patients exhibited a hypometabolism. Further analysis based on transcriptomics, proteomics, and metabolomics identified the citric acid cycle, specifically the alpha-ketoglutarate dehydrogenase complex (OGDHC), as bottleneck in sPD metabolism. A follow-up study of the patients approximately 10 years after initial biopsy demonstrated a correlation between OGDHC activity in our cellular model and the disease progression. In addition, the alterations in cellular metabolism observed in our cellular model were restored by interfering with the enhanced SHH signal transduction in sPD. Thus, inhibiting overactive SHH signaling may have potential as neuroprotective therapy during early stages of sPD. Mitochondrial dysfunction is a contributing factor in Parkinson's disease. Here the authors carry out a multilayered omics analysis of Parkinson's disease patient-derived neuronal cells, which reveals a reversible hypometabolism mediated by alpha-ketoglutarate dehydrogenase deficiency, which is correlated with disease progression in the donating patients.
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