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Leaf vascular patterns are the mechanisms and mechanical support for the transportation of fluidics for photosynthesis and leaf development properties. Vascular hierarchical networks in leaves have far-reaching functions in optimal transport efficiency of functional fluidics. Embedding leaf morphogenesis as a resistor network is significant in the optimization of a translucent thermally functional material. This will enable regulation through pressure equalization by diminishing flow pressure variation. This paper investigates nature's vasculature networks that exhibit hierarchical branching scaling applied to microfluidics. To enable optimum potential for pressure drop regulation by algorithm design. This code analysis of circuit conduit optimization for transport fluidic flow resistance is validated against CFD simulation, within a closed loop network. The paper will propose this self-optimization, characterization by resistance seeking targeting to determine a microfluidic network as a resistor. To advance a thermally function material as a switchable IR absorber.

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OBJECTIVE: To evaluate the agreement between OperaVOX and MDVP. DESIGN: Cross sectional reliability study. SETTING: University teaching hospital. METHODS: Fifty healthy volunteers and 50 voice disorder patients had supervised recordings in a quiet room using OperaVOX by the iPod's internal microphone with sampling rate of 45 kHz. A five-seconds recording of vowel/a/was used to measure fundamental frequency (F0), jitter, shimmer and noise-to-harmonic ratio (NHR). All healthy volunteers and 21 patients had a second recording. The recorded voices were also analysed using the MDVP. The inter- and intrasoftware reliability was analysed using intraclass correlation (ICC) test and Bland-Altman (BA) method. Mann-Whitney test was used to compare the acoustic parameters between healthy volunteers and patients. RESULTS: Nine of 50 patients had severe aperiodic voice. The ICC was high with a confidence interval of >0.75 for the inter- and intrasoftware reliability except for the NHR. For the intersoftware BA analysis, excluding the severe aperiodic voice data sets, the bias (95% LOA) of F0, jitter, shimmer and NHR was 0.81 (11.32, -9.71); -0.13 (1.26, -1.52); -0.52 (1.68, -2.72); and 0.08 (0.27, -0.10). For the intrasoftware reliability, it was -1.48 (18.43, -21.39); 0.05 (1.31, -1.21); -0.01 (2.87, -2.89); and 0.005 (0.20, -0.18), respectively. Normative data from the healthy volunteers were obtained. There was a significant difference in all acoustic parameters between volunteers and patients measured by the Opera-VOX (P < 0.001) except for F0 in females (P = 0.87). CONCLUSION: OperaVOX is comparable to MDVP and has high internal consistency for measuring the F0, jitter and shimmer of voice except for the NHR.

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Globally, small rural communities frequently are demographically similar to their neighbours and are consistently found to have a number of problems linked to the international phenomenon of rural decline and urban drift. For example, it is widely noted that rural populations have poor health status and aging populations. In Australia, multiple state and national policies and programs have been instigated to redress this situation. Yet few rural residents would agree that their town is the same as an apparently similar sized one nearby or across the country. This article reports a project that investigated the way government policies, health and community services, population characteristics and local peculiarities combined for residents in two small rural towns in New South Wales. Interviews and focus groups with policy makers, health and community service workers and community members identified the felt, expressed, normative and comparative needs of residents in the case-study towns. Key findings include substantial variation in service provision between towns because of historical funding allocations, workforce composition, natural disasters and distance from the nearest regional centre. Health and community services were more likely to be provided because of available funding, rather than identified community needs. While some services, such as mental illness intervention and GPs, are clearly in demand in rural areas, in these examples, more health services were not needed. Rather, flexibility in the services provided and work practices, role diversity for health and community workers and community profiling would be more effective to target services. The impact of industry, employment and recreation on health status cannot be ignored in local development.

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BACKGROUND: Studies on ethnic variations in health have played an important role in aetiological and health services research. Most routine datasets, however, do not include information on ethnicity. South Asians, one of the largest minority ethnic groups in Britain, have distinctive names that also allow differentiation of the main sub-groups with their important differences in health-related exposures and disease risks. METHODS: A computerized name recognition algorithm (SANGRA) was developed incorporating directories of South Asian first names and surnames together with their religious and linguistic origin. SANGRA was validated using health-related data with self-ascribed information on ethnicity. RESULTS: SANGRA was successful in recognizing South Asian origin in reference datasets, with sensitivity of 89-96 per cent, specificity of 94-98 per cent, positive predictive value (PPV) of 80-89 per cent and negative predictive value (NPV) of 98-99 per cent. Religious origin was correctly assigned in the majority of cases: sensitivity, specificity and PPV were 94 per cent, 91 per cent and 90 per cent for Hindus; 90 per cent, 99 per cent and 98 per cent for Muslims; and 76 per cent, 99 per cent and 94 per cent for Sikhs. SANGRA correctly identified 76 per cent Gujerati and 70 per cent Punjabi names, although only 62 per cent of Gujerati names were sufficiently distinct to be allocated to the Gujerati-only category and only 53 per cent Punjabi names were allocated to the Punjabi-only category. However, specificity and PPV were high for both languages (respectively 97 per cent and 93 per cent for Gujerati, and 99 per cent and 97 per cent for Punjabi). CONCLUSIONS: SANGRA provides a practical and valid method of ascertaining South Asian origin by name and, to a lesser degree of accuracy, of differentiating between the main religious and linguistic subgroups living in Britain. This algorithm will be useful in health-related studies where information on self-ascribed ethnicity is not available or is of a limited nature.

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Loneliness was investigated in three groups of Black elderly people. Groups consisted of Married, Widowed, and Never Married. The deJong-Giervald Loneliness Scale was used to measure loneliness on the none subscales that make up the instrument. These subscales measured the extent: of feelings of deprivation concerning a partner (L1); of feelings of emptiness or lack of companionship (L2); of feelings of abandonment (L3); of rationalization of personal loneliness (L4); of self-pity (L5); to which loneliness is perceived as permanent (L6); to which is perceived as temporary (L7); to which it is perceived that loneliness can be solved by one's own activities (L8); of resignation to loneliness (L9). Significant differences between scores were found in only two subscales. These were numbers L4 and L6. On each of these subscales, Widowed and Other Married groups, which were mostly composed of women, had the lowest mean scores. This reflects the likelihood that these groups use rationalization to cope with the negative effects of loneliness, and this is sex-specific. Findings also reflect that unmarried Black elderly, especially females, may feel hopeless about being lonely. Recommendations made for further studies include using larger and more heterogeneous samples as well as different ethnic groups.

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