On the relation between Transversal and Longitudinal Scaling in Cities

Given that a group of cities follows a scaling law connecting urban population with socio-economic or infrastructural metrics (transversal scaling), should we expect that each city would follow the same behavior over time (longitudinal scaling)? This assumption has important policy implications, although rigorous empirical tests have been so far hindered by the lack of suitable data. Here, we advance the debate by looking into the temporal evolution of the scaling laws for 5507 municipalities in Brazil. We focus on the relationship between population size and two urban variables, GDP and water network length, analyzing the time evolution of the system of cities as well as their individual trajectory. We find that longitudinal (individual) scaling exponents are city-specific, but they are distributed around an average value that approaches to the transversal scaling exponent when the data are decomposed to eliminate external factors, and when we only consider cities with a sufficiently large growth rate. Such results give support to the idea that the longitudinal dynamics is a micro-scaling version of the transversal dynamics of the entire urban system. Finally, we propose a mathematical framework that connects the microscopic level to global behavior, and, in all analyzed cases, we find good agreement between theoretical prediction and empirical evidence

Factors contributing to nursing team work in an acute care tertiary hospital

© 2015 Australian College of Nursing Ltd Background Effective nursing teamwork is an essential component of quality health care and patient safety. Understanding which factors foster team work ensures teamwork qualities are cultivated and sustained. Objective This study aims to investigate which factors are associated with team work in an Australian acute care tertiary hospital across all inpatient and outpatient settings. Methods All nurses and midwives rostered to inpatient and outpatient wards in an acute care 600 bed hospital in Sydney Australia were invited to participate in a cross sectional survey between September to October 2013. Data were collected, collated, checked and analysed using Statistical Package for the Social Sciences (SPSS) Version 21. Factors reporting a significant correlation with where p < 0.05 were analysed in a multiple regression model. Results A total of 501 surveys were returned. Nursing teamwork scores ranged between 3.32 and 4.08. Teamwork subscale Shared Mental Model consistently rated the highest. Mean scores for overall communication between nurses and team leadership were 3.6 (S.D. 0.57) and 3.8 (SD 0.6) respectively. Leadership and communication between nurses were significant predictors of team work p < 0.001. Conclusion Our findings describe factors predictive of teamwork in an acute care tertiary based hospital setting across inpatient and outpatient specialty units. Our findings are of particular relevance in identifying areas of nurse education and workforce planning to improve nursing team work

Efeito do tamanho e da forma da semente na produtividade do milho.

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