87 research outputs found

    Biologische Abluftreinigung. Tl.2. Reinigung einer industriellen formaldehydhaltigen Abluft im TechnikumsmaĂźstab

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    Part 1 of this contribution about waste air purification published in ZFL 7-8/91 introduced the various types of waste air purification processes. Biofilters and bioscrubbers were described in detail under integration of own research results. The second part of this contribution deals with a special example of industrial waste air and its biological purification: for degradation of an industrial waste air load consisting of three carbohydrates a bioscrubber was applied. The plant was inoculated with a special starter culture of defined strains of microorganisms selected by screening. This resulted in an effective short start-up period with a high degradation rate. The degradation activity was investigated under load alternation and under ammonium limitation. At the end of the experiments the mixed culture was analysed

    Optimum bandgap profile analysis of Cu(In,Ga)Se 2

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    Data-Driven Investigation of Gait Patterns in Individuals Affected by Normal Pressure Hydrocephalus

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    Normal pressure hydrocephalus (NPH) is a chronic and progressive disease that affects predominantly elderly subjects. The most prevalent symptoms are gait disorders, generally determined by visual observation or measurements taken in complex laboratory environments. However, controlled testing environments can have a significant influence on the way subjects walk and hinder the identification of natural walking characteristics. The study aimed to investigate the differences in walking patterns between a controlled environment (10 m walking test) and real-world environment (72 h recording) based on measurements taken via a wearable gait assessment device. We tested whether real-world environment measurements can be beneficial for the identification of gait disorders by performing a comparison of patients’ gait parameters with an aged-matched control group in both environments. Subsequently, we implemented four machine learning classifiers to inspect the individual strides’ profiles. Our results on twenty young subjects, twenty elderly subjects and twelve NPH patients indicate that patients exhibited a considerable difference between the two environments, in particular gait speed (p-value p=0.0073), stride length (p-value p=0.0073), foot clearance (p-value p=0.0117) and swing/stance ratio (p-value p=0.0098). Importantly, measurements taken in real-world environments yield a better discrimination of NPH patients compared to the controlled setting. Finally, the use of stride classifiers provides promise in the identification of strides affected by motion disorders

    Comparative material study on RF and DC magnetron sputtered ZnO:Al films

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    ZnO:Al films were prepared on glass substrates by RF and DC sputtering from ceramic ZnO:Al2O3 targets. The film properties of RF sputtered ZnO:Al showed a weak dependence on film thickness and substrate temperature while a strong dependence on sputter pressure and oxygen addition to the process gas was observed. For DC sputtering in static mode at 270 degrees C a low resistivity of 2.3-5 x 10(-4) Omega cm was obtained in a wide pressure range of 0.04 to 4 Pa. At lower substrate temperatures the supply of small amounts of oxygen was required to maintain high transparency and achieve significant roughness for light scattering after wet chemical etching. Highest damp heat stability was found for ZnO:Al films deposited at low sputter pressures. This behavior could be correlated to the highly compact film structure of these films. ZnO:Al films deposited in dynamic DC mode exhibited inferior resistivity of 8-40 x 10(-4) Omega cm, which partly could be attributed to the specific design of the inline sputter system. (c) 2005 Elsevier B.V. All rights reserved

    Data-Driven Investigation of Gait Patterns in Individuals Affected by Normal Pressure Hydrocephalus

    No full text
    Normal pressure hydrocephalus (NPH) is a chronic and progressive disease that affects predominantly elderly subjects. The most prevalent symptoms are gait disorders, generally determined by visual observation or measurements taken in complex laboratory environments. However, controlled testing environments can have a significant influence on the way subjects walk and hinder the identification of natural walking characteristics. The study aimed to investigate the differences in walking patterns between a controlled environment (10 m walking test) and real-world environment (72 h recording) based on measurements taken via a wearable gait assessment device. We tested whether real-world environment measurements can be beneficial for the identification of gait disorders by performing a comparison of patients’ gait parameters with an aged-matched control group in both environments. Subsequently, we implemented four machine learning classifiers to inspect the individual strides’ profiles. Our results on twenty young subjects, twenty elderly subjects and twelve NPH patients indicate that patients exhibited a considerable difference between the two environments, in particular gait speed (p-value p=0.0073), stride length (p-value p=0.0073), foot clearance (p-value p=0.0117) and swing/stance ratio (p-value p=0.0098). Importantly, measurements taken in real-world environments yield a better discrimination of NPH patients compared to the controlled setting. Finally, the use of stride classifiers provides promise in the identification of strides affected by motion disorders.ISSN:1424-822
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