Mass entrainment rate of an ideal momentum turbulent round jet

We propose a two-phase-fluid model for a full-cone turbulent round jet that describes its dynamics in a simple but comprehensive manner with only the apex angle of the cone being a disposable parameter. The basic assumptions are that (i) the jet is statistically stationary and that (ii) it can be approximated by a mixture of two fluids with their phases in dynamic equilibrium. To derive the model, we impose conservation of the initial volume and total momentum fluxes. Our model equations admit analytical solutions for the composite density and velocity of the two-phase fluid, both as functions of the distance from the nozzle, from which the dynamic pressure and the mass entrainment rate are calculated. Assuming a far-field approximation, we theoretically derive a constant entrainment rate coefficient solely in terms of the cone angle. Moreover, we carry out experiments for a single-phase turbulent air jet and show that the predictions of our model compare well with this and other experimental data of atomizing liquid jets.Comment: 17 pages, 10 figure

The new record of the spotted catfish Arius maculates (Thunberg 1792) from Persian Gulf, Iran

The species Arius maculates (Thunberg 1792) (Siluriformes, Ariidae) is recorded for the first time from the muddy shores of the inter-tidal zone of Bandar Abbas, Persian Gulf, Iran in February 2011. In this study, the morphological features of Arius maculates are described. This species has previously been recorded from Gulf of Oman to Indonesia, north to Japan (locality type). This finding considerably extends our knowledge of the distribution of Arius maculates

Frequency of neonatal complications after premature delivery

Introduction: Preterm delivery is the delivery before 37 weeks of gestation are completed. The incidence of preterm birth ranges from 5 to 15%. Aims of the study were to determine the average body weight, Apgar score after one and five minutes, and the frequency of the most common complications in preterminfants.Methods: The study involved a total of 631 newborns, of whom 331 were born prematurely Aims of this study were to (24th-37th gestational weeks-experimental group), while 300 infants were born in time (37-42 weeks of gestation-control group).Results: Average body weight of prematurely born infants was 2382 grams, while the average Apgar score in this group after the fi rst minute was 7.32 and 7.79 after the fifth minute. The incidence of respiratory distress syndrome was 50%, intracranial hemorrhage, 28.1% and 4.8% of sepsis. Respiratory distresssyndrome was more common in infants born before 32 weeks of gestation. Mortality of premature infants is present in 9.1% and is higher than that of infants born at term.Conclusions: Birth body weight and Apgar scores was lower in preterm infants. Respiratory distress syndrome is the most common fetal complication of prematurity. Intracranial hemorrhage is the second most common complication of prematurity. Mortality of premature infants is higher than the mortality of infants born at term birth

Implementation of the hemoprophylactic protocol in orthopedic surgery

Introduction: Antibiotic prophylaxis is defined as the use of antimicrobials in the absence of symptoms of infection, with the aim of preventing or reducing the incidence of infection after surgery. We analyzed the incidence of surgical wound infection in patients in whom a protection of hemoprophylaxis conducted using cefazolin and gentamicin, and determine the frequency of surgical wound infection in patients in whom there was a deviation in the implementation of hemoprophylaxis protection.Methods: This retrospective-prospective study included 100 patients surgically treated at the The Department of Orthopedics and Traumatology, University Clinical Center in Tuzla from December 2007 to February 2010, which examined the incidence of surgical wound infection after surgical treatment of fractures or degenerative changes in the hip, thigh and lower leg fractures.Results: In the first group, in patients who were treated with cefazolin were detected in 2 cases (5.7%) while the length of hemoprophylaxis was 7 days, patients who were treated with cefazolin and gentamicin were detected in 1 case (2.8%) and duration hemoprophylaxis was 7 days. In another control group tah was found 9 cases of wound infection (30%), and hemoprophylaxis duration was 10 days.Conclusion: The combination of cefazolin and gentamycin for a period of 5 days significantly reduces the incidence of infection and significantly shortened the time of antibiotics in group that is respected application protocol in accordance with international recommendation

Respuesta del M.R.P. Maestro Fr. Henrique Florez a la carta publicada bajo el nombre de Dn. Juachin de Azur

Copia digital. Valladolid : Junta de Castilla y León. Consejería de Cultura y Turismo, 2009-201

The Interrelation of Punitiveness, Morality, and Socio-demographics

This study explores the relationship between morality (in the form of the moral foundations theory) and punitiveness. Specifically, the aim of the study is to replicate earlier findings of Silver and Silver (2017), who found a positive correlation between the moral valuing of authority, loyalty, and purity (labelled together as the binding foundations), and punitiveness. Furthermore, they noted a negative correlation between the moral valuing of harm and fairness (labelled together as the individualising foundations), with punitiveness. In addition, this study includes an exploratory aim to evaluate the influence of socio-demographics on punitiveness, the binding, and individualising foundations. 133 participants responded to a survey, 58 of the participants identified themselves as ”Man” and 75 as ”Woman”. Using regression analysis we successfully replicated the earlier findings of Silver and Silver (2017). Furthermore, education level and age demonstrated a negative correlation with the binding foundations. A gender difference was also noted with women tending to score higher on the individualising foundation. Education level and age were also found to negatively correlate with punitiveness, although this correlation was rendered insignificant when the binding and individualising foundations were also included as predictors

Heterogeneity in the Effect of Common Shocks on Healthcare Expenditure Growth

Health care expenditure growth is affected by important unobserved common shocks such as technological innovation, changes in sociological factors, shifts in preferences and the epidemiology of diseases. While common factors impact in principle all countries, their effect is likely to differ across countries. To allow for unobserved heterogeneity in the effects of common shocks, we estimate a panel data model of health care expenditure growth in 34 OECD countries over the years 1980 to 2012 where the usual fixed or random effects are replaced by a multifactor error structure. We address model uncertainty with Bayesian Model Averaging, to identify a small set of important expenditure drivers from 43 potential candidates. We establish 16 significant drivers of healthcare expenditure growth, including growth in GDP per capita and in insurance premiums, changes in financing arrangements and some institutional characteristics, expenditures on pharmaceuticals, population aging, costs of health administration, and inpatient care. Our approach allows us to derive estimates that are less subject to bias than in previous analyses, and provide robust evidence to policy makers on the drivers that were most strongly associated with the growth in health care expenditures over the past 32 years

Multiple Imputation Ensembles (MIE) for dealing with missing data

Missing data is a significant issue in many real-world datasets, yet there are no robust methods for dealing with it appropriately. In this paper, we propose a robust approach to dealing with missing data in classification problems: Multiple Imputation Ensembles (MIE). Our method integrates two approaches: multiple imputation and ensemble methods and compares two types of ensembles: bagging and stacking. We also propose a robust experimental set-up using 20 benchmark datasets from the UCI machine learning repository. For each dataset, we introduce increasing amounts of data Missing Completely at Random. Firstly, we use a number of single/multiple imputation methods to recover the missing values and then ensemble a number of different classifiers built on the imputed data. We assess the quality of the imputation by using dissimilarity measures. We also evaluate the MIE performance by comparing classification accuracy on the complete and imputed data. Furthermore, we use the accuracy of simple imputation as a benchmark for comparison. We find that our proposed approach combining multiple imputation with ensemble techniques outperform others, particularly as missing data increases