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  • 1
    In: Lab on a Chip, Royal Society of Chemistry (RSC), Vol. 10, No. 19 ( 2010), p. 2519-
    Type of Medium: Online Resource
    ISSN: 1473-0197 , 1473-0189
    Language: English
    Publisher: Royal Society of Chemistry (RSC)
    Publication Date: 2010
    detail.hit.zdb_id: 2056646-3
    SSG: 12
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  • 2
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2023
    In:  Wiener Medizinische Wochenschrift
    In: Wiener Medizinische Wochenschrift, Springer Science and Business Media LLC
    Type of Medium: Online Resource
    ISSN: 0043-5341 , 1563-258X
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 2074266-6
    detail.hit.zdb_id: 2202954-0
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  • 3
    Online Resource
    Online Resource
    Wiley ; 2021
    In:  Alzheimer's & Dementia: Translational Research & Clinical Interventions Vol. 7, No. 1 ( 2021-01)
    In: Alzheimer's & Dementia: Translational Research & Clinical Interventions, Wiley, Vol. 7, No. 1 ( 2021-01)
    Abstract: In Alzheimer's disease, asymptomatic patients may have amyloid deposition, but predicting their progression rate remains a substantial challenge with implications for clinical trial enrollment. Here, we demonstrate an artificial intelligence approach to use baseline clinical information and images to predict changes in quantitative biomarkers of brain pathology on future images. Methods Patients from the Alzheimer's Disease Neuroimaging Initiative (ADNI) who underwent positron emission tomography (PET) with the amyloid radiotracer 18F‐AV45 (florbetapir) were included. We identified important baseline PET image features using a deep convolutional neural network based on ResNet. These were combined with eight clinical, demographic, and genetic markers using a gradient‐boosted decision tree (GBDT) algorithm to predict future quantitative standardized uptake value ratio (SUVR), an established biomarker of brain amyloid deposition. We used this model to better identify individuals with the highest positive change in amyloid deposition on future images and compared this to typical inclusion criteria for clinical trials. We also compared the model's performance to other methods such as multivariate linear regression and GBDT without imaging features. Findings Using 2577 PET scans from 1224 unique individuals, we showed that the GBDT with deep image features was significantly more accurate than the other approaches, reaching a root mean squared error of 0.0339 ± 0.0027 for future SUVR prediction. Using this approach, we could identify individuals with the highest 10% SUVR accumulation at rates 2‐ to 4‐fold higher than by random pick or existing inclusion criteria. Discussion Predicting quantitative biomarkers on future images using machine learning methods consisting of deep image features combined with clinical data may allow better targeting of treatments or enrollment in clinical trials.
    Type of Medium: Online Resource
    ISSN: 2352-8737 , 2352-8737
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 2832891-7
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  • 4
    Online Resource
    Online Resource
    Copernicus GmbH ; 2019
    In:  Earth System Dynamics Vol. 10, No. 4 ( 2019-11-07), p. 711-727
    In: Earth System Dynamics, Copernicus GmbH, Vol. 10, No. 4 ( 2019-11-07), p. 711-727
    Abstract: Abstract. We investigate the climate mitigation potential and collateral effects of direct injections of captured CO2 into the deep ocean as a possible means to close the gap between an intermediate CO2 emissions scenario and a specific temperature target, such as the 1.5 ∘C target aimed for by the Paris Agreement. For that purpose, a suite of approaches for controlling the amount of direct CO2 injections at 3000 m water depth are implemented in an Earth system model of intermediate complexity. Following the representative concentration pathway RCP4.5, which is a medium mitigation CO2 emissions scenario, cumulative CO2 injections required to meet the 1.5 ∘C climate goal are found to be 390 Gt C by the year 2100 and 1562 Gt C at the end of simulations, by the year 3020. The latter includes a cumulative leakage of 602 Gt C that needs to be reinjected in order to sustain the targeted global mean temperature. CaCO3 sediment and weathering feedbacks reduce the required CO2 injections that comply with the 1.5 ∘C target by about 13 % in 2100 and by about 11 % at the end of the simulation. With respect to the injection-related impacts we find that average pH values in the surface ocean are increased by about 0.13 to 0.18 units, when compared to the control run. In the model, this results in significant increases in potential coral reef habitats, i.e., the volume of the global upper ocean (0 to 130 m depth) with omega aragonite 〉 3.4 and ocean temperatures between 21 and 28 ∘C, compared to the control run. The potential benefits in the upper ocean come at the expense of strongly acidified water masses at depth, with maximum pH reductions of about −2.37 units, relative to preindustrial levels, in the vicinity of the injection sites. Overall, this study demonstrates that massive amounts of CO2 would need to be injected into the deep ocean in order to reach and maintain the 1.5 ∘C climate target in a medium mitigation scenario on a millennium timescale, and that there is a trade-off between injection-related reductions in atmospheric CO2 levels accompanied by reduced upper-ocean acidification and adverse effects on deep-ocean chemistry, particularly near the injection sites.
    Type of Medium: Online Resource
    ISSN: 2190-4987
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2019
    detail.hit.zdb_id: 2578793-7
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  • 5
    In: Advanced Engineering Materials, Wiley, Vol. 25, No. 9 ( 2023-05)
    Abstract: Thermoelectric (TE) films, which are normally fabricated by MicroElectroMechanical‐Systems (MEMS) technology, are crucial for the development of micro‐TE devices (e.g., Peltier coolers for hot‐spot cooling, TE generators). However, achieving a significant TE property (e.g., high power factor) of TE films and a low‐cost fabrication process is challenging. A novel fabrication technique named PowderMEMS to fabricate high‐performance, low‐cost TE films, and micro‐patterns is presented in this article. The TE film is based on agglomeration of micro‐sized N‐type (BTS) powders with stoichiometric composition by the molten binder bismuth (Bi). The influence of the key process parameters (e.g., the weight ratio between the TE powder and the binder, the hot‐pressing duration, and pressure) on the TE performance is investigated. The TE film exhibits a maximum power factor of 1.7  at room temperature, which is the highest value reported so far for the state‐of‐the‐art TE thick film (thickness  〉  10 μm). Besides, the PowderMEMS‐based TE films are successfully patterned to the micro‐pillar array, which opens up a new MEMS‐compatible approach for manufacturing micro‐TE devices.
    Type of Medium: Online Resource
    ISSN: 1438-1656 , 1527-2648
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2016980-2
    detail.hit.zdb_id: 1496512-4
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  • 6
    Online Resource
    Online Resource
    American Geophysical Union (AGU) ; 2018
    In:  Geophysical Research Letters Vol. 45, No. 7 ( 2018-04-16), p. 2995-3000
    In: Geophysical Research Letters, American Geophysical Union (AGU), Vol. 45, No. 7 ( 2018-04-16), p. 2995-3000
    Abstract: Individual magnetic moments are isolated for a suite of grains while embedded in a nonmagnetic medium using micromagnetic tomography The traditional nonuniqueness of this inversion problem is tackled by adding spatial information using microCT scanning Our new technique is nondestructive; hence, grains can be analyzed multiple times and in different magnetic states
    Type of Medium: Online Resource
    ISSN: 0094-8276 , 1944-8007
    URL: Issue
    Language: English
    Publisher: American Geophysical Union (AGU)
    Publication Date: 2018
    detail.hit.zdb_id: 2021599-X
    detail.hit.zdb_id: 7403-2
    SSG: 16,13
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  • 7
    In: The EuroBiotech Journal, Walter de Gruyter GmbH, Vol. 2, No. 1 ( 2018-01-01), p. 10-23
    Abstract: Different species of microalgae are highly efficient in removing nutrients from wastewater streams and are able to grow using flue gas as a CO 2 source. These features indicate that application of microalgae has a promising outlook in wastewater treatment. However, practical aspects and process of integration of algae cultivation into an existing wastewater treatment line have not been investigated. The Climate-KIC co-funded Microalgae Biorefinery 2.0 project developed and demonstrated this integration process through a case study. The purpose of this paper is to introduce this process by phases and protocols, as well as report on the challenges and bottlenecks identified in the case study. These standardized technical protocols detailed in the paper help to assess different aspects of integration including biological aspects such as strain selection, as well as economic and environmental impacts. This process is necessary to guide wastewater treatment plants through the integration of algae cultivation, as unfavourable parameters of the different wastewater related feedstock streams need specific attention and management. In order to obtain compelling designs, more emphasis needs to be put on the engineering aspects of integration. Well-designed integration can lead to operational cost saving and proper feedstock treatment enabling algae growth.
    Type of Medium: Online Resource
    ISSN: 2564-615X
    Language: English
    Publisher: Walter de Gruyter GmbH
    Publication Date: 2018
    detail.hit.zdb_id: 2939288-3
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  • 8
    In: BJS Open, Oxford University Press (OUP), Vol. 7, No. 2 ( 2023-03-07)
    Abstract: Surgical risk calculators can estimate risk probabilities for postoperative outcomes utilizing patient-specific risk factors. They provide meaningful information for obtaining informed consent. The aim of the present paper was to evaluate the predictive value of the surgical risk calculators by the American College of Surgeons in German patients undergoing total pancreatectomy. Methods Data for patients who underwent total pancreatectomy between 2014 and 2018 were acquired from the Study, Documentation, and Quality Center of the German Society for General and Visceral Surgery. Risk factors were entered manually into the surgical risk calculators and calculated risks were compared with actual outcomes. Results Of the 408 patients analysed, predicted risk was higher in patients with complications except for the prediction of re-admission (P = 0.127), delayed gastric emptying (P = 0.243), and thrombosis (P = 0.256). In contrast, classification of patients into below, above, or average risk by the surgical risk calculators only produced meaningful results for discharge to nursing facility (P & lt; 0.001), renal failure (P = 0.003), pneumonia (P = 0.001), serious complications, and overall morbidity (both P & lt; 0.001). Assessment of discrimination and calibration showed poor results (scaled Brier scores 8.46 per cent or less). Conclusion Overall surgical risk calculator performance was poor. This finding promotes the development of a specific surgical risk calculator applicable to the German healthcare system.
    Type of Medium: Online Resource
    ISSN: 2474-9842
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 2902033-5
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  • 9
    Online Resource
    Online Resource
    Copernicus GmbH ; 2016
    In:  Earth System Dynamics Vol. 7, No. 4 ( 2016-11-01), p. 797-812
    In: Earth System Dynamics, Copernicus GmbH, Vol. 7, No. 4 ( 2016-11-01), p. 797-812
    Abstract: Abstract. In this study we look beyond the previously studied effects of oceanic CO2 injections on atmospheric and oceanic reservoirs and also account for carbon cycle and climate feedbacks between the atmosphere and the terrestrial biosphere. Considering these additional feedbacks is important since backfluxes from the terrestrial biosphere to the atmosphere in response to reducing atmospheric CO2 can further offset the targeted reduction. To quantify these dynamics we use an Earth system model of intermediate complexity to simulate direct injection of CO2 into the deep ocean as a means of emissions mitigation during a high CO2 emission scenario. In three sets of experiments with different injection depths, we simulate a 100-year injection period of a total of 70 GtC and follow global carbon cycle dynamics over another 900 years. In additional parameter perturbation runs, we varied the default terrestrial photosynthesis CO2 fertilization parameterization by ±50 % in order to test the sensitivity of this uncertain carbon cycle feedback to the targeted atmospheric carbon reduction through direct CO2 injections. Simulated seawater chemistry changes and marine carbon storage effectiveness are similar to previous studies. As expected, by the end of the injection period avoided emissions fall short of the targeted 70 GtC by 16–30 % as a result of carbon cycle feedbacks and backfluxes in both land and ocean reservoirs. The target emissions reduction in the parameter perturbation simulations is about 0.2 and 2 % more at the end of the injection period and about 9 % less to 1 % more at the end of the simulations when compared to the unperturbed injection runs. An unexpected feature is the effect of the model's internal variability of deep-water formation in the Southern Ocean, which, in some model runs, causes additional oceanic carbon uptake after injection termination relative to a control run without injection and therefore with slightly different atmospheric CO2 and climate. These results of a model that has very low internal climate variability illustrate that the attribution of carbon fluxes and accounting for injected CO2 may be very challenging in the real climate system with its much larger internal variability.
    Type of Medium: Online Resource
    ISSN: 2190-4987
    Language: English
    Publisher: Copernicus GmbH
    Publication Date: 2016
    detail.hit.zdb_id: 2578793-7
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