The influence of spirituality, race/ethnicity and religion on parent grief and mental health at one and three months after their infant's/child's death in the neonatal or pediatric intensive care unit

The death of an infant/child is one of the most devastating experiences for parents and immediately throws them into crisis. Spiritual and religious coping strategies may help parents with their loss. The purposes of this longitudinal study were to: (1) describe differences in bereaved parents' use of spiritual coping strategies across racial/ethnic and religious groups, mother/father dyads, and time—one (T1) and three (T2) months after the infant's/child's death in the neonatal (NICU) or pediatric intensive care unit (PICU), and (2) test the relationship between spiritual coping strategies and grief, mental health, and personal growth for mothers and fathers at T1 and T2. A sample of 126 Hispanic, Black/African American, and White parents of 119 deceased children completed the Spiritual Coping Strategies scale, Beck Depression Inventory-II, Impact of Events-Revised, Hogan Grief Reaction Checklist, and a demographic form at T1 and T2. Controlling for race and religion, spiritual coping was a strong predictor of lower grief, better mental health, and greater personal growth for mothers at T1 and T2 and lower grief for fathers at T1. The findings of this study will guide bereaved parents to effective strategies to help them cope with their early grief.

The empire beats on: Oyo, Bata drums and hegemony in nineteenth-century Cuba

The Lukumí people of Cuba, currently known as Yoruba, are descendants of one of the mightiest West African kingdoms, the Oyo, Empire. The Oyo-Yoruba were important cultural contributors to certain areas of the New World such as Cuba, Brazil, Trinidad, and to some degree Haiti and the Lesser Antilles. Anthropologist William Bascom has said that “no African group has had greater influence on New World culture than the Yoruba.” ^ After the devastation of the empire around 1825, two new Oyos resuscitated. The first, New Oyo, was established about 80 miles south of the ancient site around 1830. The second Oyo was instituted on the other side of the Atlantic Ocean, in the city of Havana and its surrounding towns. Much of Oyo lie, as ancient Oyo is now called, was transported to the New World, reformed and adapted according to its new surroundings, and, it preserved its reign over its “subjects” through the retention and dissemination of its cultural and religious practices. ^ Using an interdisciplinary approach, this investigation will argue that of all the African groups brought to Cuba, the Oyo-Yoruba were the most influential in shaping Afro-Cuban culture since their introduction in the nineteenth century. The existence of batá drums in Cuba and the cultural components of this musical genre will serve as one of many examples to illustrate the vitality of Oyo cultural hegemony over Afro-Cubans. It is arguable that these drums and the culture that surrounded them were very important instruments used by the Oyo to counter the acculturation of many Africans in Cuba. Likewise, this culture became acculturative in itself by imposing its religious world views on non-Oyo ethnics and their descendants. Oral histories and narratives collected among Lukumí practitioners on the island and abroad have been invaluable archives to supplement and/or complement primary and secondary sources of information. ^

Analytical approximations to predict performance measures of manufacturing systems with job failures and parallel processing

Parallel processing is prevalent in many manufacturing and service systems. Many manufactured products are built and assembled from several components fabricated in parallel lines. An example of this manufacturing system configuration is observed at a manufacturing facility equipped to assemble and test web servers. Characteristics of a typical web server assembly line are: multiple products, job circulation, and paralleling processing. The primary objective of this research was to develop analytical approximations to predict performance measures of manufacturing systems with job failures and parallel processing. The analytical formulations extend previous queueing models used in assembly manufacturing systems in that they can handle serial and different configurations of paralleling processing with multiple product classes, and job circulation due to random part failures. In addition, appropriate correction terms via regression analysis were added to the approximations in order to minimize the gap in the error between the analytical approximation and the simulation models. Markovian and general type manufacturing systems, with multiple product classes, job circulation due to failures, and fork and join systems to model parallel processing were studied. In the Markovian and general case, the approximations without correction terms performed quite well for one and two product problem instances. However, it was observed that the flow time error increased as the number of products and net traffic intensity increased. Therefore, correction terms for single and fork-join stations were developed via regression analysis to deal with more than two products. The numerical comparisons showed that the approximations perform remarkably well when the corrections factors were used in the approximations. In general, the average flow time error was reduced from 38.19% to 5.59% in the Markovian case, and from 26.39% to 7.23% in the general case. All the equations stated in the analytical formulations were implemented as a set of Matlab scripts. By using this set, operations managers of web server assembly lines, manufacturing or other service systems with similar characteristics can estimate different system performance measures, and make judicious decisions - especially setting delivery due dates, capacity planning, and bottleneck mitigation, among others.

Student Expositions as an Opportunity to Feel Proud: One Antidote to Expectations of Failure in Zone Schools

Expositions of student work at the end of the extended school year are one of many reform efforts in a specially formed School Improvement Zone in Miami Dade schools. This descriptive analysis offers examples of successful attempts to engender pride even in the face of formidable social and cultural obstacles.

Analytical Approximations to Predict Performance Measures of Manufacturing Systems with Job Failures and Parallel Processing

Parallel processing is prevalent in many manufacturing and service systems. Many manufactured products are built and assembled from several components fabricated in parallel lines. An example of this manufacturing system configuration is observed at a manufacturing facility equipped to assemble and test web servers. Characteristics of a typical web server assembly line are: multiple products, job circulation, and paralleling processing. The primary objective of this research was to develop analytical approximations to predict performance measures of manufacturing systems with job failures and parallel processing. The analytical formulations extend previous queueing models used in assembly manufacturing systems in that they can handle serial and different configurations of paralleling processing with multiple product classes, and job circulation due to random part failures. In addition, appropriate correction terms via regression analysis were added to the approximations in order to minimize the gap in the error between the analytical approximation and the simulation models. Markovian and general type manufacturing systems, with multiple product classes, job circulation due to failures, and fork and join systems to model parallel processing were studied. In the Markovian and general case, the approximations without correction terms performed quite well for one and two product problem instances. However, it was observed that the flow time error increased as the number of products and net traffic intensity increased. Therefore, correction terms for single and fork-join stations were developed via regression analysis to deal with more than two products. The numerical comparisons showed that the approximations perform remarkably well when the corrections factors were used in the approximations. In general, the average flow time error was reduced from 38.19% to 5.59% in the Markovian case, and from 26.39% to 7.23% in the general case. All the equations stated in the analytical formulations were implemented as a set of Matlab scripts. By using this set, operations managers of web server assembly lines, manufacturing or other service systems with similar characteristics can estimate different system performance measures, and make judicious decisions - especially setting delivery due dates, capacity planning, and bottleneck mitigation, among others.