Statistical description of the bubble cloud resulting from the injection of air into a turbulent water jet

The final bubble size distribution, resulting from the break-up of an air jet injected into the central axis of a fully developed, high Reynolds number turbulent water jet has been measured using a Phase Doppler Particle Analyzer (PDPA). The shape of the final size distribution is shown to depend not only on the dissipation rate of turbulent kinetic energy, ε, but also on the global void fraction, αH. It has been shown that such a dependence can be expressed as a function of two dimensionless numbers, namely the jet Weber number, Wen=ρUJ2DJ/σ, and the ratio between the initial bubble's size and the critical diameter, D0/Dc. The statistical properties of the time and distance separating two bubbles of the same diameter, after the turbulent break process is complete, have also been measured. The probability density function of the inter-arrival time between two consecutive bubbles was found to follow an exponential distribution with intensity factor, λ, depending on the number density of bubbles of a certain diameter and on the velocity of the flow

A review of statistical models for the break-up of an immiscible fluid immersed into a fully developed turbulent flow

We consider the statistical description of the break-up of an immiscible fluid lump immersed into a fully developed turbulent flow. We focus on systems where there is no relative velocity between the continuous and dispersed phases. In this case, particle fragmentation is caused only by turbulent velocity fluctuations. The most relevant models proposed for the particle break-up frequency and for the shape of the daughter particle size distribution are reviewed. Their predictions are compared to recent experimental data, obtained for the break-up of an air cavity immersed into a high Reynolds number, turbulent water jet. Models based on purely kinematic arguments show the best agreement with the experimental data

Gender differences in the incidence of and risk factors for hip fracture: A 16-year longitudinal study in a southern European population

Objectives To analyze independently in men and women the incidence rate of and risk factors for hip fracture in a southern European population. Illiteracy, dementia, clinically significant depression and disability were factors to receive special emphasis. Study design A community sample of 4803 individuals aged over 55 years was assessed in a two-phase case-finding study in Zaragoza, Spain, and was followed up for 16 years. Medical history and psychiatric history were collected with standardized instruments, including the History and Aetiology Schedule, the Geriatric Mental State (GMS) scale, and a Risk Factors Questionnaire. Operational criteria were used to define covariates, including diagnostic criteria for both dementia and depression. The statistical analysis included calculations of incidence rate, IR; women/men incidence rate ratio (IRR); and Hazard Ratios (HR) in multivariate Cox proportional hazards regression models. Main outcome measures Cases of hip fracture (International Classification of Diseases, WHO) identified in the treating hospitals, validated by blinded researchers. Results Hip fractures were more frequent among women than men (IRR = 3.1). Illiteracy (HR = 1.55) and depression (HR = 1.44) increased the risk in women, and smoking (HR = 2.13) and disability in basic activities of daily living (HR = 3.14) increased the risk in men. Dementia was associated with an increased risk in an univariate analysis, but the association disappeared (power = 85% in men, 95% in women) when disability was included in the multivariate models. Conclusions The IR of hip fractures was three times higher among women. Illiteracy and clinically significant depression among women and active smoking and disability (HR = 3.14) among men independently increased the risk, but dementia did not

A framework for the local information dynamics of distributed computation in complex systems

The nature of distributed computation has often been described in terms of the component operations of universal computation: information storage, transfer and modification. We review the first complete framework that quantifies each of these individual information dynamics on a local scale within a system, and describes the manner in which they interact to create non-trivial computation where "the whole is greater than the sum of the parts". We describe the application of the framework to cellular automata, a simple yet powerful model of distributed computation. This is an important application, because the framework is the first to provide quantitative evidence for several important conjectures about distributed computation in cellular automata: that blinkers embody information storage, particles are information transfer agents, and particle collisions are information modification events. The framework is also shown to contrast the computations conducted by several well-known cellular automata, highlighting the importance of information coherence in complex computation. The results reviewed here provide important quantitative insights into the fundamental nature of distributed computation and the dynamics of complex systems, as well as impetus for the framework to be applied to the analysis and design of other systems.Comment: 44 pages, 8 figure

Spectral analysis-based risk score enables early prediction of mortality and cerebral performance in patients undergoing therapeutic hypothermia for ventricular fibrillation and comatose status

Background: Early prognosis in comatose survivors after cardiac arrest due to ventricular fibrillation (VF) is unreliable, especially in patients undergoing mild hypothermia. We aimed at developing a reliable risk-score to enable early prediction of cerebral performance and survival. Methods: Sixty-one out of 239 consecutive patients undergoing mild hypothermia after cardiac arrest, with eventual return of spontaneous circulation (ROSC), and comatose status on admission fulfilled the inclusion criteria. Background clinical variables, VF time and frequency domain fundamental variables were considered. The primary and secondary outcomes were a favorable neurological performance (FNP) during hospitalization and survival to hospital discharge, respectively. The predictive model was developed in a retrospective cohort (n = 32; September 2006 September 2011, 48.5 ± 10.5 months of follow-up) and further validated in a prospective cohort (n = 29; October 2011 July 2013, 5 ± 1.8 months of follow-up). Results: FNP was present in 16 (50.0%) and 21 patients (72.4%) in the retrospective and prospective cohorts, respectively. Seventeen (53.1%) and 21 patients (72.4%), respectively, survived to hospital discharge. Both outcomes were significantly associated (p < 0.001). Retrospective multivariate analysis provided a prediction model (sensitivity = 0.94, specificity = 1) that included spectral dominant frequency, derived power density and peak ratios between high and low frequency bands, and the number of shocks delivered before ROSC. Validation on the prospective cohort showed sensitivity = 0.88 and specificity = 0.91. A model-derived risk-score properly predicted 93% of FNP. Testing the model on follow-up showed a c-statistic ≥ 0.89. Conclusions: A spectral analysis-based model reliably correlates time-dependent VF spectral changes with acute cerebral injury in comatose survivors undergoing mild hypothermia after cardiac arrest.the CNIC is supported by the Spanish Ministry of Economy and Competitiveness and the Pro-CNIC Foundation.Filgueiras-Rama, D.; Calvo Saiz, CJ.; Salvador-Montañés, Ó.; Cádenas, R.; Ruiz-Cantador, J.; Armada, E.; Rey, JR.... (2015). Spectral analysis-based risk score enables early prediction of mortality and cerebral performance in patients undergoing therapeutic hypothermia for ventricular fibrillation and comatose status. International Journal of Cardiology. 186:250-258. doi:10.1016/j.ijcard.2015.03.074S25025818

Perception of economic crisis among Spanish nursing students: Its relation to burnout and engagement

Background The high levels of indebtedness and deficit of Spain's autonomous communities as a consequence of the national and European economic crisis have caused radical changes in the Spanish National Health Service. At the present time, the economic crisis is seriously affecting nurses in several European countries, and especially in Spain. Objectives The aim of this study was to analyse whether nursing students perceptions of economic crisis influence their levels of burnout and engagement in relation to their studies. We have also tried to clarify the relationship of sociodemographic variables (age and gender) and personal control factors (self-efficacy, locus of control and success) with these factors. Design This was a transversal study based on descriptive and inferential statistical analysis. Analysis of the quantitative data was performed using Statistical Package for Social Sciences, IBM 19.0 (SPSS, 2010). Participants and Methods 166 nursing students participated in the study, comprising 142 women and 24 men studying in Schools of Nursing in the North of Spain. They completed various questionnaires to gather information on sociodemographic variables and measure burnout, engagement, locus of control, expectations of success and perceptions of threat due to the economic crisis. Results Higher perception of economic crisis by the students is related to higher scores for burnout and lower scores for engagement. The scores for burnout were also positively predicted by external locus of control and negatively predicted by perception of self-efficacy. The age of participants is related to lower levels of burnout and higher levels of engagement. Finally, expectation of success also positively predicted the level of engagement. Conclusions The results demonstrate the importance of the perceptions of the economic crisis on the development of burnout and engagement among nursing students. © 2017 Elsevier Lt