Tradition und Transformation: polyphone Wissensfigurationen in der Historia von D. Johann Fausten

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Control of Drives in Biomass Combustion Process

Import 23/07/2015Tato bakalářská práce se zabývá návrhem řídicího procesu dopravy paliva při výrobě elektrické energie. Jedná se o reálnou technologii pro průmyslovou praxi, která je součástí zakázky společnosti Polycomp, a.s. Práce popisuje celý proces a zaměřuje se na dopravu paliva z provozního zásobníku paliva do spalovací komory řízením dvou šnekových dopravníků a turniketu paliva. Pro řízení těchto pohonů je společností zvolen programovatelný PLC automat Siemens Simatic S7-1200, jehož konfigurace a popis jeho vlastností jsou v práci popsány. Pro tento proces byly navrženy tři řídicí programy, které v době realizace této práce nebylo možné vyzkoušet na reálné zakázce, a proto byly simulovány na simulační desce s PLC automatem Siemens Simatic S7-200.This thesis deals with a design control process of transportation of fuel during the production of electrical energy. Real technology for industrial practice is concerned, that is a part of a contract of a company Polycomp, a. s. The thesis describes the whole process and focuses on transportation of fuel from fuel reservoir to furnace by controlling of two screw conveyors and a fuel turnstile. To control those drives, it is chooses a programmable PLC automat Siemens Simatic S7-1200, whose configuration and description of its features are described in this thesis. For this process, three controlling programs were designed, that were not possible to test on real contract at the time of realization of this thesis and that is why they were simulated on a simulation desk with the automat Siemens Simatic S7-200.352 - Katedra automatizační techniky a řízenívelmi dobř

Measuring the impact and distress of health problems from the individual's perspective: development of the Perceived Impact of Problem Profile (PIPP)

BACKGROUND: The aim of this study was to develop and conduct preliminary validation of the Perceived Impact of Problem Profile (PIPP). Based on the biopsychosocial model of health and functioning, the PIPP was intended as a generic research and clinical measurement tool to assess the impact and distress of health conditions from the individuals' perspective. The ICF classification system was used to guide the structure of the PIPP with subscales included to assess impact on self-care, mobility, participation, relationships and psychological well-being. While the ICF focuses on the classification of objective health and health related status, the PIPP broadens this focus to address the individuals' subjective experience of their health condition. METHODS: An item pool of 23 items assessing both impact and distress on five key domains was generated. These were administered to 169 adults with mobility impairment. Rasch analysis using RUMM2020 was conducted to assess the psychometric properties of each set of items. Preliminary construct validation of the PIPP was performed using the EQ5D. RESULTS: For both the Impact and Distress scales of the PIPP, the five subscales (Self-care, Mobility, Participation, Relationships, and Psychological Well-being) showed adequate psychometric properties, demonstrating fit to the Rasch model. All subscales showed adequate person separation reliability and no evidence of differential item functioning for sex, age, educational level or rural vs urban residence. Preliminary validity testing using the EQ5D items provided support for the subscales. CONCLUSION: This preliminary study, using a sample of adults with mobility impairment, provides support for the psychometric properties of the PIPP as a potential clinical and research measurement tool. The PIPP provides a brief, but comprehensive means to assess the key ICF components, focusing on the individuals' perspective of the impact and distress caused by their health condition. Further validation of its use across different health conditions and varying cultural settings is required

Low oxygen saturation and mortality in an adult cohort; the Tromsø Study

Published version, also available at http://dx.doi.org/10.1186/s12890-015-0003-5Background: Oxygen saturation has been shown in risk score models to predict mortality in emergency medicine. The aim of this study was to determine whether low oxygen saturation measured by a single-point measurement by pulse oximetry (SpO2) is associated with increased mortality in the general adult population. Methods: Pulse oximetry was performed in 5,152 participants in a cross-sectional survey in Tromsø, Norway, in 2001–2002 (“Tromsø 5”). Ten-year follow-up data for all-cause mortality and cause of death were obtained from the National Population and the Cause of Death Registries, respectively. Cause of death was grouped into four categories: cardiovascular disease, cancer except lung cancer, pulmonary disease, and others. SpO2 categories were assessed as predictors for all-cause mortality and death using Cox proportional-hazards regression models after correcting for age, sex, smoking history, body mass index (BMI), C-reactive protein level, self-reported diseases, respiratory symptoms, and spirometry results. Results: The mean age was 65.8 years, and 56% were women. During the follow-up, 1,046 (20.3%) participants died. The age- and sex-adjusted hazard ratios (HRs) (95% confidence intervals) for all-cause mortality were 1.99 (1.33–2.96) for SpO2 ≤ 92% and 1.36 (1.15–1.60) for SpO2 93–95%, compared with SpO2 ≥ 96%. In the multivariable Cox proportional-hazards regression models that included self-reported diseases, respiratory symptoms, smoking history, BMI, and CRP levels as the explanatory variables, SpO2 remained a significant predictor of all-cause mortality. However, after including forced expiratory volume in 1 s percent predicted (FEV1% predicted), this association was no longer significant. Mortality caused by pulmonary diseases was significantly associated with SpO2 even when FEV1% predicted was included in the model. Conclusions: Low oxygen saturation was independently associated with increased all-cause mortality and mortality caused by pulmonary diseases. When FEV1% predicted was included in the analysis, the strength of the association weakened but was still statistically significant for mortality caused by pulmonary diseases