Examining implications of the developmental timing of maternal trauma for prenatal and newborn outcomes

Separate literatures have demonstrated that mothers’ experiences with trauma during childhood or pregnancy are associated with maternal prenatal health risks, adverse childbirth outcomes, and offspring internalizing and externalizing disorders. These literatures largely align with the intergenerational transmission or fetal programming frameworks, respectively. However, few studies have tested the effects of maternal childhood and prenatal trauma simultaneously on mothers’ and infants’ health outcomes, and no studies have examined these effects on newborn neurobehavioral outcomes. Thus, in the present study, we examined how the developmental timing of pregnant women’s traumatic life experiences associated with their physical health and psychopathology (Aim 1) as well as their newborns’ birth and neurodevelopmental outcomes (Aim 2; for pre-registered aims and hypotheses, see https://osf.io/ygnre/?view_only=cbe17d0ac7f24af5a4d3e37e24eebead). One hundred and fifty-two 3rd trimester pregnant women (M_age = 29 years; 17.1% Hispanic/Latina) completed measures of trauma history and psychopathology. Then, 24–48 h after birth, trained clinicians conducted newborn neurobehavioral exams (n = 118 newborns; 52.6% female). Results indicated that lifetime traumatic experiences associated with multiple prenatal maternal health outcomes, including depression, anxiety, emotion dysregulation, and pregnancy complications. Pregnant women’s experiences with childhood trauma, but not adulthood or prenatal trauma, predicted higher neurobehavioral attention scores among female newborns. Our discussion highlights the importance of considering the developmental timing of maternal trauma on perinatal outcomes and contextualizes our findings within the intergenerational transmission and fetal programming literatures.Data AvailabilityData pertaining to R01MH119070 (MPIs Crowell & Conradt) and that support these findings are uploaded to the NIMH repository.     

Model and interactive algorithm of bi‐level multi‐objective decision‐making with multiple interconnected decision makers

Furthering a prior research on two‐person bi‐level multi‐objective decision‐making problems of the leader‐follower Stackelberg game, we present an extended model of bi‐level multi‐objective decision‐making with multiple interconnected decision makers at the lower level. In the model, the upper level decision maker acts as a leader and the lower level decision makers behave as the followers, and inter‐connections and interactions exist among these followers in decision‐making scenarios. Following the rules of leader‐follower Stackelberg game, we develop an interactive algorithm of the model for solving multi‐objective decision‐making problems and reflecting the interactive natures among the decision makers. Finally, the authors exemplify the model and algorithm, and draw a conclusion on points of contributions and the significance of this study in decision‐making and support. Copyright © 2001 John Wiley & Sons, Ltd.     

Multiple objective programming with piecewise linear functions

An approach to generating all efficient solutions for multiple objective programs with piecewise linear objective functions and linear constraints is presented. The approach is based on the decomposition of the feasible set into subsets, referred to as cells, so that the original problem reduces to a series of single objective linear programs and feasibility tests over the cells. The concepts of cell-efficiency and complex-efficiency are introduced and their relationship with efficiency is examined. A generic algorithm for finding efficient solutions for bi-objective piecewise linear programs is proposed. Applications in location theory as well as in worst case analysis are highlighted. Copyright © 1999 John Wiley & Sons, Ltd.     

Analytical Hierarchy Process Based Assignment Model for Allotting Parking Slots to Different Localities

Because of growing population and a consequent increase in number of vehicles, the problem of parking personal vehicles is becoming explosive. This paper suggests efficient use of surplus space to be utilized as parking slot using analytical hierarchy process and integer programming model. Examples covering a real situation justify the approach. Copyright © 2011 John Wiley & Sons, Ltd.