How Does Family Structure Relate With Children's Language Development? A Cross Sectional Experience from Urban Slums in Dhaka.

Family structure is an important factor for children's overall development. In this cross sectional study, we explored how single parenting relates to child's language development in slums of Dhaka city, Bangladesh from 31st August 2010 to 9th February 2011. Children aged 10 to 24 months (n=133), living with mother only and those living with both parents were included. Children's comprehensive and expressive language development was assessed using the Bengali version of Mac Arthur's Communicative Development Inventory (MCDI). Family care indicators (FCI) were used to assess quality of psychosocial stimulation at home, maternal depression was assessed using Centre for Epidemiological Studies - Depression (CES-D) questionnaire and socioeconomic status (SES) of the family was determined using a previously tested questionnaire. We analyzed the data using multivariate analysis. Maternal depression scores were higher in single mothers compared to those living with their husband and more depressed mothers provided less stimulating environment for the child. Children in the single parent families had lower scores on FCI and their comprehension and expression scores were slightly lower. Multiple regressions analysis showed that children's comprehension {B (95%CI), 0.19 (0.07, 0.32), p=0.003} and expression {0.18 (0.02, 0.35), p=0.032} scores were significantly higher in those living with both parents. Steps to educate parents on the importance of a healthy family life needs to be taken in order to ensure development of children to achieve their full potentials. Further long-term effects of living without father on children's development needs to be explored in Bangladesh.

Association of postpartum maternal morbidities with children's mental, psychomotor and language development in rural Bangladesh.

Little is known from developing countries about the effects of maternal morbidities diagnosed in the postpartum period on children's development. The study aimed to document the relationships of such morbidities with care-giving practices by mothers, children's developmental milestones and their language, mental and psychomotor development. Maternal morbidities were identified through physical examination at 6-9 weeks postpartum (n=488). Maternal care-giving practices and postnatal depression were assessed also at 6-9 weeks postpartum. Children's milestones of development were measured at six months, and their mental (MDI) and psychomotor (PDI) development, language comprehension and expression, and quality of psychosocial stimulation at home were assessed at 12 months. Several approaches were used for identifying the relationships among different maternal morbidities, diagnosed by physicians, with children's development. After controlling for the potential confounders, maternal anaemia diagnosed postpartum showed a small but significantly negative effect on children's language expression while the effects on language comprehension did not reach the significance level (p=0.085). Children's development at 12 months was related to psychosocial stimulation at home, nutritional status, education of parents, socioeconomic status, and care-giving practices of mothers at six weeks of age. Only a few mothers experienced each specific morbidity, and with the exception of anaemia, the sample-size was insufficient to make a conclusion regarding each specific morbidity. Further research with a sufficient sample-size of individual morbidities is required to determine the association of postpartum maternal morbidities with children's development.

Pollution balance: a new methodology for minimizing waste production in manufacturing processes.

A new methodolgy based on a generic pollution balance equation, has been developed for minimizing waste production in manufacturing processes. A "pollution index," defined as the mass of waste produced per unit mass of a product, has been introduced to provide a quantitative measure of waste generation in a process. A waste reduction algorithm also has been developed from the pollution balance equation. This paper explains this methodology and demonstrates the applicability of the method by a case study.

Optimization of an industrial microalgae fermentation.

Optimization of cellular productivity of an industrial microalgae fermentation was investigated. The fermentation was carried out at Coors Biotech Products Company, Fort Collins, Colorado. A mathematical model was developed based on the data collected from pilot plant test runs at different operating conditions. Pontryagin's maximum principle was used for determining the optimal feed policy. A feedback control algorithm was also studied for maximizing the cellular productivity. During continuous operation, the optimum dilution rate was determined by an adaptive optimization scheme based on the steepest descent technique and a recursive least squares estimation of model parameters. A direct search algorithm was also applied to determine the optimum feed rate. Comparison of the theoretical results of the different optimization schemes revealed that the direct search algorithm was preferable because of its simplicity. The experimental results of real time application of the feedback algorithm agreed fairly well with those of the theoretical analyses. (c) 1994 John Wiley & Sons, Inc.