Additional file 6: of Estimating loss in quality of life associated with asthma-related crisis events (ESQUARE): a cohort, observational study

Week 8 statistics for each quality of life questionnaire. (PDF 151 kb

Additional file 2: of Estimating loss in quality of life associated with asthma-related crisis events (ESQUARE): a cohort, observational study

Mean changes in utility and score values between week 4 and week 8 (available case analysis). (PDF 151 kb

Additional file 5: of Estimating loss in quality of life associated with asthma-related crisis events (ESQUARE): a cohort, observational study

Week 4 statistics for each quality of life questionnaire. (PDF 151 kb

Additional file 4: of Estimating loss in quality of life associated with asthma-related crisis events (ESQUARE): a cohort, observational study

Mean scores for difficulties sleeping, symptoms and activities at daily points. (PDF 165 kb

Additional file 1: of Estimating loss in quality of life associated with asthma-related crisis events (ESQUARE): a cohort, observational study

Flow chart of study design. (PDF 248 kb

Additional file 3: of Estimating loss in quality of life associated with asthma-related crisis events (ESQUARE): a cohort, observational study

Mean peak expiratory flow at daily time points. (PDF 164 kb

Additional file 2: of Improving primary care Access in Context and Theory (I-ACT trial): a theory-informed randomised cluster feasibility trial using a realist perspective

Table S2. Characteristics of included practices. (DOCX 15 kb

Additional file 4: of Improving primary care Access in Context and Theory (I-ACT trial): a theory-informed randomised cluster feasibility trial using a realist perspective

Table S4. Intraclass correlation coefficient. (DOCX 14 kb

Additional file 6: of Improving primary care Access in Context and Theory (I-ACT trial): a theory-informed randomised cluster feasibility trial using a realist perspective

Table S6. Resource use activity and associated costs. (DOCX 23 kb

The development of a new maximum power point tracker for a PV panel

The PV systems are rapidly expanding and have increasing roles in electric power technologies, providing more secure power sources and pollution free electric supplies. Since the PV electricity is expensive compared to the electricity from the utility grid, users want to use all the available output PV power. Therefore, the PV systems should be designed to operate at their maximum output power for any temperature and solar radiation level. In this paper, we consider a photovoltaic panel supplying a battery. For maximizing the output power of this panel, we have using a boost dc/dc converter controlled by a PI regulator. For synthesizing this regulator, we have replaced the converter with an equivalent continuous model when we have considered the mean values, over the chopping period, of the electric quantities. Then, we have developed the transfer function of the system by using the small signal modeling around an optimal operating point. A PI synthesis has been achieved by using Bode method. In the study, we have taken into account the converter losses. Coefficients Kp and KI obtained of PI regulator lead to good simulations. The theoretical results confirm excellent tracking effectiveness response. The regulator operates correctly on a large range