How Fast Can Dense Codes Achieve the Min-Cut Capacity of Line Networks?

In this paper, we study the coding delay and the average coding delay of random linear network codes (dense codes) over line networks with deterministic regular and Poisson transmission schedules. We consider both lossless networks and networks with Bernoulli losses. The upper bounds derived in this paper, which are in some cases more general, and in some other cases tighter, than the existing bounds, provide a more clear picture of the speed of convergence of dense codes to the min-cut capacity of line networks.Comment: 15 pages, submitted to IEEE ISIT 201

Developing the Principles of Parental Mental Health in the Neonatal Intensive Care Unit (NICU)

Background: Hospitalization of infants in the neonatal intensive care unit (NICU) may disrupt the proper interaction with infants and lead to anxiety and depression, while adversely affecting the role of families. Therefore, it is necessary for healthcare teams to be familiar with the principles of parental mental health in the NICU. The present study aimed to codify the principles of parental mental health in the NICU. Methods: This study was conducted with a triangulation methodology in two steps. In the first step, the principles of mental health care for parents in the NICU were compiled and translated. In the second step, the principles were edited using the Delphi method based on the opinion of experts (physicians, faculty members, and health policymakers). Final principles of parental mental health in the NICU were codified. Results: In total, four general principles of holistic care, relationship with parents in the NICU, special care for establishing communication with families in the NICU, and principles of infants and family care were obtained. Conclusion: Since healthcare teams may not be familiar with the principles of parental mental health in the NICU, the results of the present study could lay the groundwork for promoting the knowledge of healthcare team members in interaction with parents

Application of dense offshore tsunami observations from Ocean Bottom Pressure Gauges (OBPGs) for tsunami research and early warnings

We introduce a new data source of dense deep-ocean tsunami records 7 from Ocean Bottom Pressure Gauges (OBPGs) which are attached to Ocean Bottom 8 Seismometers (OBS) and apply them for far-field and near-field tsunami warnings. 9 Tsunami observations from OBPGs are new sources of deep-ocean tsunami 10 observations which, for the first time, provide dense tsunami data with spacing 11 intervals in the range of 10–50 km. Such dense data are of importance for tsunami 12 research and warnings and are capable of providing new insights into tsunami 13 characteristics. Here, we present a standard procedure for the processing of the 14 OBPG data and extraction of tsunami signals out of these high-frequency data. 15 Then, the procedure is applied to two tsunamis of 15 July 2009 Mw 7.8 Dusky 16 Sound (offshore New Zealand) and 28 October 2012 Mw 7.8 Haida Gwaii (offshore 17 Canada). We successfully extracted 30 and 57 OBPG data for the two aforesaid 18 tsunamis, respectively. Numerical modeling of tsunami was performed for both 19 tsunamis in order to compare the modeling results with observation and to use the 20 modeling results for the calibration of some of the OBPG data. We successfully 21 employed the OBPG data of the 2012 Haida Gwaii tsunami for tsunami forecast by 22 applying a data assimilation technique. Our results, including two case studies, 23 demonstrate the high potential of OBPG data for contribution to tsunami research 24 and warnings. The procedure developed in this study can be readily applied for the 2526 extraction of tsunami signals from OBPG data

Cesarean delivery in Iran: a population-based analysis using the Robson classification system.

BACKGROUND: The rise of Cesarean Sections (CS) is a global concern. In Iran, the rate of CS increased from 40.7% in 2005 to 53% in 2014. This figure is even higher in the private sector. OBJECTIVE: To analyze the CS rates in the last 2 years using the Robson Classification System in Iran. METHODS: A retrospective analysis of all in-hospital electronically recorded deliveries in Iran was conducted using the Robson classification. Comparisons were made in terms of the type of hospital, CS rate, and obstetric population, and contributions of each group to the overall cesarean deliveries were reported. RESULTS: Two million three hundred twenty-two thousand five hundred women gave birth, 53.6% delivered through CS. Robson group 5 was the largest contributing group to the overall number of cesarean deliveries (47.1%) at a CS rate of 98.4%. Group 2 and 1 ranked the second and third largest contributing groups to overall CSs (20.6 and 10.8%, respectively). The latter groups had CS rates much higher than the WHO recommendation of 67.2 and 33.1%, respectively. "Fetal Distress" and "Undefined Indications" were the most common reasons for cesarean deliveries at CS rates of 13.6 and 13.4%, respectively. There was a significant variation in CS rate among the three types of hospitals for Robson groups 1, 2, 3, 4, and 10. CONCLUSION: The study revealed significant variations in CS rate by hospital peer-group, especially for the private maternity units, suggesting the need for further attention and audit of the Robson groups that significantly influence the overall CS rate. The study results will help policymakers identify effective strategies to reduce the CS rate in Iran, providing appropriate benchmarking to compare obstetric care with other countries that have better maternal and perinatal outcomes