There is a need for further research to define best practice mode

There is a need for further research to define best practice models and for Australian CPGs.”
“This paper analyzes feeding strategies in a sequential batch reactor (SBR) with the objective of reaching a given (low) substrate level as quickly as possible for a given volume of water. Inside the SBR, several species compete for a single substrate, which leads to a minimal time control problem in which the control variable is the feeding rate. Following Gajardo et al. (2008) SIAM J Control Optim 47(6):2827-2856, we allow the control variable to be a bounded measurable function of time combined with possible impulses associated

with instantaneous dilutions. For this problem, the extremal trajectories of the singular arc type are characterized as the strategies used to maintain https://www.selleckchem.com/products/mk-5108-vx-689.html this website the substrate at a constant level. Since this optimization problem is difficult to solve, this characterization provides a valuable tool for investigating the optimality of various feeding strategies. Our aim is thus to illustrate the use of this tool by proposing potential optimal feeding strategies, which may then be compared with other more intuitive strategies.

This aim was accomplished via several numerical experiments in which two specific strategies are compared.”
“Background & objectives: Urban Indians have a high prevalence of insulin resistance, hypertension and cardiovascular disease. We studied the prevalence of pre-hypertension and hypertension, as well their association with cardiovascular risk factors, in a north Indian upper socio-economic population.\n\nMethods: A total of 1746 adults (age >= 30 yr) residing in an urban colony of high-income group residents in the city of Lucknow, north India, were invited to be enrolled for the study. The response rate was 64 per cent (n=1112). Blood pressure, anthropometry, plasma glucose in response to oral glucose tolerance test and lipids were measured. The variables contributing significantly to pre-hypertension

and hypertension were analyzed by multiple logistic regression analysis.\n\nResults: The age and find more sex adjusted prevalence of hypertension was 32.2 per cent and pre-hypertension was 32.3 per cent. In contrast to hypertension, which was highest in the age group 60-69 yr (64%), pre-hypertension was highest (36%) in the group 30-39 yr. There was a high prevalence of cardiovascular risk factors in the general population [central obesity (86.7%), elevated LDL cholesterol (22.8%), abnormal glucose tolerance (41.6%) and smoking (20.3% of males)]. Two or more of the cardiovascular risk factors were present in a higher proportion of hypertensive [66%, odds ratio (OR) 3.0, P<0.0001] and pre-hypertensive, (56%, OR 2.0, P<0.0001) compared to normotensive subjects (39%). Subjects with pre-hypertension had body mass index, waist-hip ratio and frequency of glucose intolerance, which was intermediate between normotensive and hypertensive subjects.

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