Previous research on coarse woody debris (CWD) indicated that moisture content and initial heterotrophic colonization of decaying wood can affect the decomposition process. Six heterotrophic treatments were created to simulate the effects of physical penetration of the bark and wood and the transmission of ascomycetes versus basidiomycetes into CWD. In 1995, 360 Douglas-fir (Pseudotsuga menziesii) were randomly placed at five replicate sites in old-growth stands. Each site had 6 heterotrophic (HET) x 2 moisture combinations (TENT). One set of logs representing the treatment combinations was used for sampling respiration and another set was used to measure volume affected by insect gallery excavations and fungal rot and to determine decay rates. Respiration was sampled three times during the summer of 2001. The results indicated that the HET treatments were no longer affecting respiration rates. Analysis of the average of the three sampling periods revealed no TENT effect but examinations of the individual sampling dates suggests that tented logs might have higher respiration rates than non-tented logs as summer progresses. In the aggregate, the TENT treatment reduced moisture content from 45% to 36%, a 20 percent reduction in moisture levels. The HET and the TENT treatments did not affect decay rates. The mean density change for the logs was -0.072 g/cm�� �� 0.03 and the mean decay constant was 0.026 �� 0.011. The TENT treatment did affect heterotrophic activity. The mean volume of wood borer excavation and extent of brown rot was higher in the tented logs (256 cm��) than in the non-tented logs (59.9 cm��). There was also a statistically significant interaction between the HET and TENT treatments. The largest differences in volume affected by wood borers and fungal rot were found in treatments that injected ascomycetes into the experimental logs. In sum, there was limited evidence that the differences in moisture content caused by the TENT treatment affected the decomposition process but the HET treatments appear to not be directly influencing decomposition after six years. The findings suggest differences in the initial community composition of heterotrophs have a decreasing impact on the decomposition process as it progresses. / Graduation date: 2004

No description available.

No description available.

No description available.

Ball State University LibrariesLibrary services and resources for knowledge buildingMasters ThesesThere is no abstract available for this thesis.

No description available.

No description available.

Use of a gas turbine engine as the primary power source has been popular in light and heavy industries, aerospace engineering, marine engineering, etc. Gas turbine engine is also used in our modern national defense weapons in Taiwan. For instance, most of Air Force fighters use gas turbine engines as the source of power. Gas turbine engines are usually associated with various sensors for real-time condition surveillance and require periodical maintenance for providing proper functioning and safety guarantee. In contrast, real-time failure prediction of gas turbine engine components could be achieved by applying data mining or statistics techniques. However, such failure prediction will not be effective when applying to engines which are deteriorated by long-term running in high temperature and high stress environment. In this study, we collected maintenance and operating logs according to the engine deterioration history and established and empirically evaluated four different data-mining-based prediction models. The proposed data-mining-based prediction approach attempts to predict the time-to-deterioration for a gas turbine engine after its prior deterioration occurrence, to provide maintenance personnel accurate prediction for better making or revising maintenance schedules, and to achieve the ¡§foreseeing maintenance and management policy.¡¨

SAMMANFATTNING Sjuksköterskan tillämpar omvårdnadsprocessen genom att observera, värdera, prioritera, dokumentera och vid behov åtgärda och hantera förändringar i allmäntillståndet, samt motverka komplikationer i samband med sjukdom, vård och behandling. Andningsfrekvens (AF) är den vitalparameter som först förändras och signalerar en förändring i allmäntillståndet. Vid de flesta hjärtstopp på sjukhus finns tecken till försämring hos patienten redan några timmar eller upp till ett dygn före.  Syftet var att undersöka sjuksköterskans inställning och följsamhet till att mäta och bedöma AF hos akuta sjuka patienter, för att tidigt upptäcka en försämring i patientens hälsotillstånd. Genom en litteraturstudie framkom fyra teman. Rutiners betydelse, sjuksköterskans inställning till AF och varför den inte mättes, värdet av förändringsarbete samt möjliga arbetssätt för att undvika vårdskador. Rutiner för mätning av AF, olika poängsystem och mätmallar för bedömning av vitalparametrar, påverkade antalet mätningar och registreringar av AF. Den enskilda sjuksköterskans inställning inverkade på mätningen och bedömningen av AF. Flera anledningar till varför AF inte mättes fanns. Studier visade att förändringsarbete och implementering av nya arbetssätt var ett komplext område, insatser krävdes inom flera områden på olika nivåer. Vårdskador och plötslig oväntad död minskade när nya rutiner och arbetssätt kombinerades med utbildning, uppföljning och återkoppling till personalen. AF är en viktig vitalparameter. Används inte den kunskapen för att hitta patienter på väg att försämras, riskerar patienterna att drabbas av vårdskador. Ett utbildningsbehov finns, den senaste forskningen har påvisat att rätt genomförd implementering av övervakningsrutiner och förändrat arbetssätt kan ge ett bra utfall i minskat antal vårdskador och oförutsedd död. / ABSTRACT The nurse applies the nursing process by observing, evaluating, prioritising, documenting and when necessary manage changes in the condition of the patient, and to prevent complications associated with disease, care and treatment. Respiratory Rate (RR) is the vital sign that first changes and signals changes in a patient’s condition. In most cardiac arrests there are signs of deterioration of the patient a few hours up to a day before the event.    The aim of this study was to investigate the nurse´s attitude and adherence to measure and assess RR in acutely ill patients, for an early detection of deterioration in the patient's state of health. Through a literature study four themes were emerged. The importance of guidelines, the nurses' attitude and why the RR was not measured, the value of change of management and possible ways to avoid injuries. Guidelines for the measurement of RR, different scoring systems and observations charts for the assessment of vital signs all affected the measuring and scorings of RR. The individual nurse's attitude affected the measurement and assessment of RR. Several reasons why RR was not measured were found. The studies showed that the process of change and implementation of new ways of working is a complex, and efforts were needed in several areas and at different levels. Care injuries and sudden unexpected deaths decreased when new routines and working procedures were combined with training, monitoring and feedback to the staff.   Research shows that RR is an important vital sign. If this knowledge is not used to find patients about to deteriorate, these patients risk suffering from permanent health effects. There is a need for significant training in this area and recent research has shown that a correct implementation of the procedures provide a good outcome in a decreased number of medical injuries and unexpected death

Infrastructure systems are critical to a country’s prosperity. It is extremely important to manage the infrastructure systems efficiently in order to avoid wastage and to maximize benefits. Deterioration of infrastructure systems is one of the primary issues in civil engineering today. This problem has been widely acknowledged by engineering community in numerous studies. We need to evolve efficient strategies to tackle the problem of infrastructure deterioration and to efficiently operate infrastructure. In this research, we propose stochastic models to predict the process of deterioration in engineering systems and to perform life-cycle analysis (LCA) of deteriorating engineering systems. LCA has been recognized, over the years, as a highly informative tool for helping the decision making process in infrastructure management. In this research, we propose a stochastic model, SSA, to accurately predict the effect of deterioration processes in engineering systems. The SSA model addresses some of the important and ignored areas in the existing models such as the effect of deterioration on both capacity and demands of systems and accounting for different types of failures in assessing the life-span of a deteriorating system. Furthermore, this research proposes RTLCA, a renewal theory based LCA model, to predict the life-cycle performance of deteriorating systems taking into account not only the life-time reliability but also the costs associated with operating a system. In addition, this research investigates the effect of seismic degradation on the reliability of reinforced concrete (RC) bridges. For this purpose, we model the seismic degradation process in the RC bridge columns which are the primary lateral load resisting system in a bridge. Thereafter, the RTLCA model along with SSA model is used to study the life-cycle of an example RC bridge located in seismic regions accounting for seismic degradation. It is expected that the models proposed in this research will be helpful in better managing our infrastructure systems.