Linkages between maternal experience of intimate partner violence and child nutrition outcomes: A rapid evidence assessment.

BACKGROUND: A strong evidence base indicates that maternal caregivers' experience of intimate partner violence [IPV] impacts children's health, cognitive development, and risk-taking behaviors. Our objective was to review peer-reviewed literature describing the associations between a child's indirect exposure to IPV and corresponding nutrition outcomes, with a particular focus on fragile settings in low and middle-income countries [LMICs]. METHODS: We conducted a rapid evidence assessment to synthesize quantitative associations between maternal caregivers' IPV experience and children's nutrition/growth outcomes (birthweight, feeding, and growth indicators). We included peer-reviewed research, published in English or Spanish after the year 2000, conducted in fragile settings in LMICs. RESULTS: We identified 86 publications that fit inclusion criteria. Amongst all associations assessed, a maternal caregiver's experience of combined forms of IPV (physical, sexual and emotional) or physical IPV only, were most consistently associated with lower birthweight, especially during pregnancy. Women of child-bearing age, including adolescents, exposed to at least one type of IPV showed a decreased likelihood of following recommended breastfeeding practices. Lifetime maternal experience of combined IPV was significantly associated with stunting among children under 5 years of age in the largest study included, though findings in smaller studies were inconsistent. Maternal experience of physical or combined IPV were inconsistently associated with underweight or wasting in the first five years. Maternal experience of sexual IPV during pregnancy appeared to predict worsened lipid profiles among children. CONCLUSION: Maternal caregivers' experience of IPV is significantly associated with low birthweight and suboptimal breastfeeding practices, whereas studies showed inconsistent associations with child growth indicators or blood nutrient levels. Future research should focus on outcomes in children aged 2 years and older, investigation of feeding practices beyond breastfeeding, and examination of risk during time periods physiologically relevant to the outcomes. Programmatic implications include incorporation of GBV considerations into nutrition policies and programming and integrating GBV prevention and response into mother and child health and nutrition interventions in LMIC contexts.

Julia for biologists.

Major computational challenges exist in relation to the collection, curation, processing and analysis of large genomic and imaging datasets, as well as the simulation of larger and more realistic models in systems biology. Here we discuss how a relative newcomer among programming languages-Julia-is poised to meet the current and emerging demands in the computational biosciences and beyond. Speed, flexibility, a thriving package ecosystem and readability are major factors that make high-performance computing and data analysis available to an unprecedented degree. We highlight how Julia's design is already enabling new ways of analyzing biological data and systems, and we provide a list of resources that can facilitate the transition into Julian computing.

Psychological Interventions for Survivors of Intimate Partner Violence in Humanitarian Settings: An Overview of the Evidence and Implementation Considerations.

This paper provides an analytical overview of different types of psychological interventions that have demonstrated efficacy in low-income and/or humanitarian settings and points to special considerations that may be needed if used with women who have been subjected to gender-based violence (GBV). This paper reviews diverse therapeutic modalities and contrasts them across several domains, including their conventional use and principles; their documented use and efficacy in humanitarian settings; any special considerations or modifications necessary for GBV-affected clients; and any additional resources or implementation concerns when working in low-income contexts. By examining the evidence base of multiple interventions, we hope to provide clinicians and GBV-prevention advocates with an overview of tools/approaches to provide survivor-centered, trauma-informed responses to GBV survivors. This analysis responds to the growing recognition that gender-based violence, in particular intimate partner violence and sexual violence, is strongly associated with mental health problems, including anxiety, depression, and post-traumatic stress. This is likely to be exacerbated in humanitarian contexts, where people often experience multiple and intersecting traumatic experiences. The need for mental health services in these settings is increasingly recognized, and a growing number of psychological interventions have been shown to be effective when delivered by lay providers and in humanitarian settings.

Collocation based training of neural ordinary differential equations.

The predictive power of machine learning models often exceeds that of mechanistic modeling approaches. However, the interpretability of purely data-driven models, without any mechanistic basis is often complicated, and predictive power by itself can be a poor metric by which we might want to judge different methods. In this work, we focus on the relatively new modeling techniques of neural ordinary differential equations. We discuss how they relate to machine learning and mechanistic models, with the potential to narrow the gulf between these two frameworks: they constitute a class of hybrid model that integrates ideas from data-driven and dynamical systems approaches. Training neural ODEs as representations of dynamical systems data has its own specific demands, and we here propose a collocation scheme as a fast and efficient training strategy. This alleviates the need for costly ODE solvers. We illustrate the advantages that collocation approaches offer, as well as their robustness to qualitative features of a dynamical system, and the quantity and quality of observational data. We focus on systems that exemplify some of the hallmarks of complex dynamical systems encountered in systems biology, and we map out how these methods can be used in the analysis of mathematical models of cellular and physiological processes.

GpABC: a Julia package for approximate Bayesian computation with Gaussian process emulation.

MOTIVATION: Approximate Bayesian computation (ABC) is an important framework within which to infer the structure and parameters of a systems biology model. It is especially suitable for biological systems with stochastic and nonlinear dynamics, for which the likelihood functions are intractable. However, the associated computational cost often limits ABC to models that are relatively quick to simulate in practice. RESULTS: We here present a Julia package, GpABC, that implements parameter inference and model selection for deterministic or stochastic models using (i) standard rejection ABC or sequential Monte Carlo ABC or (ii) ABC with Gaussian process emulation. The latter significantly reduces the computational cost. AVAILABILITY AND IMPLEMENTATION: https://github.com/tanhevg/GpABC.jl.

Parameter inference in dynamical systems with co-dimension 1 bifurcations.

Dynamical systems with intricate behaviour are all-pervasive in biology. Many of the most interesting biological processes indicate the presence of bifurcations, i.e. phenomena where a small change in a system parameter causes qualitatively different behaviour. Bifurcation theory has become a rich field of research in its own right and evaluating the bifurcation behaviour of a given dynamical system can be challenging. An even greater challenge, however, is to learn the bifurcation structure of dynamical systems from data, where the precise model structure is not known. Here, we study one aspects of this problem: the practical implications that the presence of bifurcations has on our ability to infer model parameters and initial conditions from empirical data; we focus on the canonical co-dimension 1 bifurcations and provide a comprehensive analysis of how dynamics, and our ability to infer kinetic parameters are linked. The picture thus emerging is surprisingly nuanced and suggests that identification of the qualitative dynamics-the bifurcation diagram-should precede any attempt at inferring kinetic parameters.

'I don't need an eye for an eye': Women's responses to intimate partner violence in Sierra Leone and Liberia.

This paper explores the possibilities for agency in intimate partner violence (IPV) situations from the perspective of women in Sierra Leone and Liberia using focus group discussions (N groups = 14, N participants = 110) and individual interviews (N = 20). Findings identify multiple interrelated factors influencing the decision-making of women experiencing IPV. At the individual level, emotional factors and women's knowledge of their rights and options influence their decision-making. At the relational level, the role of neighbours, family and friends is crucial, both for emotional support and practical assistance. At the community level, more formal structures play a role, such as chiefs and women's groups, though their effectiveness varies. At the structural level are barriers to effective responses, including a poorly functioning criminal justice system and a social system in which children often stay with fathers following separation or divorce. Strong cultural beliefs operate to keep women in abusive relationships. We identify implications for prevention and response services and make practice recommendations. Since the desire of most women experiencing IPV was to live in peace with their husbands, interventions should respect women's priorities by focusing more on prevention and interventions to end the violence, rather than solely assisting women to leave violent relationships.

Women's perceptions of effects of war on intimate partner violence and gender roles in two post-conflict West African Countries: consequences and unexpected opportunities.

BACKGROUND: The aim of this paper is to explore women's perceptions of the causes of intimate partner violence (IPV) in West Africa, and the ways in which they understand these causes to interact with the experiences of war. METHODS: The study was conducted in two locations in Sierra Leone and two in Liberia, using focus group discussions (N groups =14) and individual interviews (N = 20). RESULTS: Women perceive the causes of IPV to be linked with other difficulties faced by women in these settings, including their financial dependence on men, traditional gender expectations and social changes that took place during and after the wars in those countries. According to respondents, the wars increased the use of violence by some men, as violence became for them a normal way of responding to frustrations and challenges. However, the war also resulted in women becoming economically active, which was said by some to have decreased IPV, as the pressure on men to provide for their families reduced. Economic independence, together with services provided by NGOs, also gave women the option of leaving a violent relationship. CONCLUSIONS: IPV was found to be a significant problem for women in Sierra Leone and Liberia. The interactions between war experiences and financial and cultural issues are multi-faceted and not uniformly positive or negative.