Subjective Causality in Choice

An agent makes a stochastic choice from a set of lotteries. She infers the outcomes of her options using a subjective causal model represented by a directed acyclic graph, and consequently may misinterpret correlation as causation. Her choices affect her inferences which in turn affect her choices, so the two together must form a personal equilibrium. We show how an analyst can identify the agent's subjective causal model from her random choice rule. In addition, we provide necessary and sufficient conditions that allow an analyst to test whether the agent's behavior is compatible with the model

Attachment to God: Pathways to Resilience and Posttraumatic Growth

Having a secure attachment to God may act as a buffer against stress. Secure attachment to God has been positively associated with adaptive outcomes following stress, such as higher levels of stress-related growth and fewer maladaptive symptoms including depression, prolonged grief, and traumatic distress. However, relatively few studies have empirically tested the relationship between attachment to God and resilience and posttraumatic growth. Thus, the current study explored the potential associations and pathways through which attachment to God is associated with resilience and posttraumatic growth in a sample of 303 suddenly and/or traumatically bereaved individuals. The current study found that (a) God attachment avoidance is a unique negative predictor of resilience and posttraumatic growth even when controlling for adult attachment, (b) self-compassion and meaning-making mediate the association between God attachment anxiety and resilience/posttraumatic growth, (c) secure attachment to God is associated with higher levels of resilience than insecure attachment styles, but not with posttraumatic growth, and (d) an increased number of secondary losses is associated with lower levels of resilience. I conclude by discussing my findings in light of the extant literature on attachment to God, resilience, and posttraumatic growth. By better understanding attachment to God and how it may relate to resilience and posttraumatic growth, clinicians will be better equipped to interact with clients of diverse religious/spiritual (R/S) identities, potentially utilizing R/S as a strength or addressing maladaptive aspects of R/S in the wake of life stressors

The Museum of Me (MoMe)

In this project, Heidi Overhill explores her own home as a case study of the roles played by objects in the expression of self; as a microcosm of meaning in material culture. By examining her different kinds of collections through contemporary methodologies of museum collections management, she seeks to better understand herself, the collections, and the methodology of museum collecting in general. The exhibition focuses on the accessioning of the permanent collections, and provides a gift shop where visitors may purchase postcards and other souvenirs

Conceptual-level workflow modeling of scientific experiments using NMR as a case study

BACKGROUND: Scientific workflows improve the process of scientific experiments by making computations explicit, underscoring data flow, and emphasizing the participation of humans in the process when intuition and human reasoning are required. Workflows for experiments also highlight transitions among experimental phases, allowing intermediate results to be verified and supporting the proper handling of semantic mismatches and different file formats among the various tools used in the scientific process. Thus, scientific workflows are important for the modeling and subsequent capture of bioinformatics-related data. While much research has been conducted on the implementation of scientific workflows, the initial process of actually designing and generating the workflow at the conceptual level has received little consideration. RESULTS: We propose a structured process to capture scientific workflows at the conceptual level that allows workflows to be documented efficiently, results in concise models of the workflow and more-correct workflow implementations, and provides insight into the scientific process itself. The approach uses three modeling techniques to model the structural, data flow, and control flow aspects of the workflow. The domain of biomolecular structure determination using Nuclear Magnetic Resonance spectroscopy is used to demonstrate the process. Specifically, we show the application of the approach to capture the workflow for the process of conducting biomolecular analysis using Nuclear Magnetic Resonance (NMR) spectroscopy. CONCLUSION: Using the approach, we were able to accurately document, in a short amount of time, numerous steps in the process of conducting an experiment using NMR spectroscopy. The resulting models are correct and precise, as outside validation of the models identified only minor omissions in the models. In addition, the models provide an accurate visual description of the control flow for conducting biomolecular analysis using NMR spectroscopy experiment

Understanding and improving the mental health of refugees and asylum‐seekers: Reflections from the closing panel of the 2024 International Society for Traumatic Stress Studies Annual Meeting

Forcible displacement due to war and persecution has reached unprecedented heights across the globe. The mental health impact of trauma and displacement on refugee communities is profound. Although there are several evidence‐based therapies that are efficacious in reducing symptoms of posttraumatic stress disorder and depression in refugees, many refugees do not have access to these, and, for those who do, a significant proportion do not respond. This article summarizes the closing panel at the 2024 International Society for Traumatic Stress Studies Annual Meeting, where four researchers and clinicians with expertise in refugee mental health reflected on core outstanding questions in the field and promising approaches to addressing these knowledge gaps. Common themes emerged from this discussion, including the importance of considering and addressing environmental stressors when providing psychological treatment for refugees, the critical role of the social and cultural context in refugee mental health, and the necessity of partnering with refugee communities to improve the quality and efficacy of research and clinical activities. This article concludes with suggestions for early‐career researchers and clinicians who are working with refugee communities to facilitate trauma recovery and improve well‐being

Effects of antiplatelet therapy on stroke risk by brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases: subgroup analyses of the RESTART randomised, open-label trial

Background Findings from the RESTART trial suggest that starting antiplatelet therapy might reduce the risk of recurrent symptomatic intracerebral haemorrhage compared with avoiding antiplatelet therapy. Brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases (such as cerebral microbleeds) are associated with greater risks of recurrent intracerebral haemorrhage. We did subgroup analyses of the RESTART trial to explore whether these brain imaging features modify the effects of antiplatelet therapy

The molecular portraits of breast tumors are conserved acress microarray platforms

Background Validation of a novel gene expression signature in independent data sets is a critical step in the development of a clinically useful test for cancer patient risk-stratification. However, validation is often unconvincing because the size of the test set is typically small. To overcome this problem we used publicly available breast cancer gene expression data sets and a novel approach to data fusion, in order to validate a new breast tumor intrinsic list. Results A 105-tumor training set containing 26 sample pairs was used to derive a new breast tumor intrinsic gene list. This intrinsic list contained 1300 genes and a proliferation signature that was not present in previous breast intrinsic gene sets. We tested this list as a survival predictor on a data set of 311 tumors compiled from three independent microarray studies that were fused into a single data set using Distance Weighted Discrimination. When the new intrinsic gene set was used to hierarchically cluster this combined test set, tumors were grouped into LumA, LumB, Basal-like, HER2+/ER-, and Normal Breast-like tumor subtypes that we demonstrated in previous datasets. These subtypes were associated with significant differences in Relapse-Free and Overall Survival. Multivariate Cox analysis of the combined test set showed that the intrinsic subtype classifications added significant prognostic information that was independent of standard clinical predictors. From the combined test set, we developed an objective and unchanging classifier based upon five intrinsic subtype mean expression profiles (i.e. centroids), which is designed for single sample predictions (SSP). The SSP approach was applied to two additional independent data sets and consistently predicted survival in both systemically treated and untreated patient groups. Conclusion This study validates the breast tumor intrinsic subtype classification as an objective means of tumor classification that should be translated into a clinical assay for further retrospective and prospective validation. In addition, our method of combining existing data sets can be used to robustly validate the potential clinical value of any new gene expression profile

A Qualitative Study of the Motivations and Affiliation Dynamics Involved with a Firefighting Career

We explored the experiences of full-time firefighters in the present phenomenological qualitative study, having conducted semi-structured interviews with 26 male full-time firefighters. Their personal constructs of motivation and affiliation were explored and, within the constructs of motivation, three themes emerged. First, firefighters were motivated by a love of the excitement firefighting provides. Second, firefighters reported that the work schedule, which allows them more time at home, was a motivation. Third (and most emphasized by the firefighters) was an altruistic motivation to help others. Under the construct of affiliation, the firefighters reported a strong sense of brotherhood with their shift-partners, and they extended this brotherhood to all firefighters and even other emergency workers. We relate these findings to the existing body of research regarding the relationship between motivation, affiliation and satisfaction of firefighters