4 resultados para thrombocyte count
em Universidade do Minho
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Tese de Doutoramento em Ciências da Educação (área de especialização em Supervisão Pedagógica)
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This study investigated the efficiency of Moringa oleifera (MO) seeds as natural coagulant in coagulation/flocculation/dissolved air flotation (C/F/DAF), followed by nanofiltration (NF) for Microcystis protocystis and microcystin-LR removal. The methodology adopted in this work was performed in two steps: 1) coagulation/flocculation/dissolved air flotation (C/F/DAF) process using the MO extracted in saline solution of potassium chloride (KCl-1M) and sodium chloride (NaCl-1M) in optimum dosage 50 mg·L-1; 2) nanofiltration process using NF90 and NF270 membrane provided Dow Chemical Company®. A working pressure of 8 bar was applied. In all samples were analyzed color, turbidity, pH, cyanobacterial cells count and microcystin concentration. The use of MO seeds as natural coagulant, obtained satisfactory results in the M. protocystis, color and turbidity removal. NF was able to completely remove cyanobacterial cells and microcystins (100 %) from M. protocystis (always under the quantification limit). Therefore, C/F/DAF+NF sequence is a safe barrier against M. protocystis and microcystins in drinking water.
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Distributed data aggregation is an important task, allowing the de- centralized determination of meaningful global properties, that can then be used to direct the execution of other applications. The resulting val- ues result from the distributed computation of functions like count, sum and average. Some application examples can found to determine the network size, total storage capacity, average load, majorities and many others. In the last decade, many di erent approaches have been pro- posed, with di erent trade-o s in terms of accuracy, reliability, message and time complexity. Due to the considerable amount and variety of ag- gregation algorithms, it can be di cult and time consuming to determine which techniques will be more appropriate to use in speci c settings, jus- tifying the existence of a survey to aid in this task. This work reviews the state of the art on distributed data aggregation algorithms, providing three main contributions. First, it formally de nes the concept of aggrega- tion, characterizing the di erent types of aggregation functions. Second, it succinctly describes the main aggregation techniques, organizing them in a taxonomy. Finally, it provides some guidelines toward the selection and use of the most relevant techniques, summarizing their principal characteristics.
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Aims: Depression is the most common psychiatric disorder among people infected with HIV. This study aims to characterize the Hospital of Joaquim Urbano population of HIV-infected patients’ profile regarding depressive symptoms and whether they correlate with the analytical parameters most frequently evaluated in the context of infection by this virus – HIV viral load, CD4+ count and CD4+ percentage. Methods: We conducted an observational descriptive and analytical study. The participants’ level of depressive symptoms was assessed with the Beck Depression Inventory. The medical and psychiatric history and the analytical values of viral load, CD4+ count and CD4+ percentage were obtained by consulting the participants’ clinical processes. Results: A prevalence of 65.5% in HIV-infected patients’ depressive symptoms was found, with a considerable high percentage of subjects presenting with severe symptoms (32.7%). No associations between the depressive symptoms’ levels and CD4+ count, CD4+ percentage or viral load were found. However, depressive symptoms were associated with substance abuse and education level. Conclusions: The high prevalence of depressive symptoms found in this study reinforces the importance of monitoring this type of symptoms in HIV-infected subjects. The fact that there have been no associations between depressive symptoms and the analytical parameters evaluated is in line with previous studies.