Literature-Augmented Clinical Outcome Prediction

We present BEEP (Biomedical Evidence-Enhanced Predictions), a novel approach for clinical outcome prediction that retrieves patient-specific medical literature and incorporates it into predictive models. Based on each individual patient's clinical notes, we train language models (LMs) to find relevant papers and fuse them with information from notes to predict outcomes such as in-hospital mortality. We develop methods to retrieve literature based on noisy, information-dense patient notes, and to augment existing outcome prediction models with retrieved papers in a manner that maximizes predictive accuracy. Our approach boosts predictive performance on three important clinical tasks in comparison to strong recent LM baselines, increasing F1 by up to 5 points and precision@Top-K by a large margin of over 25%.Comment: To appear in Findings of NAACL 2022. Code available at: https://github.com/allenai/BEE

The significance of hazardous chemicals in wastewater treatment works effluents

This is the post-print version of the final paper published in Science of The Total Environment. The published article is available from the link below. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. Copyright @ 2012 Elsevier B.V.The advent of increasingly stringent and wider ranging European Union legislation relating to water and the environment has required regulators to assess compliance risk and to respond by formulating appropriate pollution control measures. To support this process the UK Water Industry has completed a national Chemicals Investigation Programme (CIP), to monitor over 160 wastewater treatment works (WwTWs) for 70 determinands. Final effluent concentrations of zinc, polynuclear aromatic hydrocarbons (fluoranthene, benzo(a)pyrene, benzo(b)fluoranthene, benzo(k)fluoranthene, benzo(g,h,i)perylene and indeno(1,2,3-cd)pyrene), “penta” congeners (BDEs) 47 and 99, tributyltin, triclosan, erythromycin, oxytetracycline, ibuprofen, propranolol, fluoxetine, diclofenac, 17β-estradiol and 17α-ethinyl estradiol exceeded existing or proposed Environmental Quality Standards (EQSs) in over 50% of WwTWs. Dilution by receiving water might ensure compliance with EQSs for these chemicals, apart from the BDEs. However, in some cases there will be insufficient dilution to ensure compliance and additional management options may be required

Bridging the Gap Between Practice Guidelines and the Therapy Room: Community-Derived Practice Adaptations for Psychological Services with Transgender and Gender Diverse Adults in the Central United States

Individuals who identify as transgender and gender diverse (TGD) are presenting at mental health clinicians’ offices with increasing frequency. Many TGD clients are seeking care related to affirming their gender identity but also may present with anxiety, depression, trauma, substance abuse, or other problems forwhich a clinician may commonly provide services. Some clinicians may hesitate to accept TGD clients into their practice if they have little specialized training to work with this population in an affirming manner, especially in more underserved areas where a generalist practice is the norm. Numerous professional associations and experts have developed guidelines for affirmative behavioral health care for TGDpeople.However, what is needed are community-informed recommendations to bridge from the official guidelines to clinicians’ in-session activities. The Trans Collaborations Practice Adaptations for Psychological Interventions for Transgender and Gender Diverse Adults are derived from iterative interviews with TGD community members and affirming mental health clinicians in the Central United States. The 12 practice adaptations are intended to guide clinicians to adapt their usual treatment approach to be TGD affirming, especially in underserved and rural areas. The practice adaptations cover numerous aspects of practice including the office setting and paperwork, understanding gender identity and incorporating it into the case conceptualization, therapist’s self-awareness, and referrals. The Trans Collaborations Practice Adaptations will help clinicians work confidently and competently with adult TGD clients, regardless of the presenting problem, to ensure TGD communities receive the best interventions for their behavioral health concerns

Workplace Contextual Supports for LGBT Employees: A Review, Meta‐Analysis, and Agenda for future Research

The past decade has witnessed a rise in the visibility of the lesbian, gay, bisexual, and transgender (LGBT) community. This has resulted in some organizational researchers focusing their attention on workplace issues facing LGBT employees. While empirical research has been appropriately focused on examining the impact of workplace factors on the work lives of LGBT individuals, no research has examined these empirical relationships cumulatively. The purpose of this study was to conduct a comprehensive review and meta‐analysis of the outcomes associated with three workplace contextual supports (formal LGBT policies and practices, LGBT‐supportive climate, and supportive workplace relationships) and to compare the relative influence of these workplace supports on outcomes. Outcomes were grouped into four categories: (a) work attitudes, (b) psychological strain, (c) disclosure, and (d) perceived discrimination. Results show that supportive workplace relationships were more strongly related to work attitudes and strain, whereas LGBT supportive climate was more strongly related to disclosure and perceived discrimination compared to the other supports. Our findings also revealed a number of insights concerning the measurement, research design, and sample characteristics of the studies in the present review. Based on these results, we offer an agenda for future research

Longitudinal Pathways between Maternal Mental Health in Infancy and Offspring Romantic Relationships in Adulthood: A 30‐year Prospective Study

Longitudinal pathways between maternal mental health in infancy and offspring romantic relationship outcomes in adulthood were examined using a 30‐year prospective longitudinal study of 196 mothers and their children. Structural equation modeling revealed that maternal mental health at 30 months was related to offspring relationship status and relationship attachment insecurity at 30 years. The adolescent variables of offspring mental health and parental relationship status mediated the link between maternal mental health and offspring relationship status. In addition, adolescent mental health and family conflict mediated the pathway between maternal mental health and offspring attachment insecurity. These results highlight the importance of individual and parental mental health to romantic relationship outcomes, and emphasize the value of taking a developmental approach to the study of romantic relationships.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90142/1/j.1467-9507.2011.00610.x.pd

Initiating private-collective innovation: The fragility of knowledge sharing

Incentives to innovate are a central element of innovation theory. In the private-investment model, innovators privately fund innovation and then use intellectual property protection mechanisms to appropriate returns from these investments. In the collective-action model, public subsidy funds public goods innovations, characterized by non-rivalry and non-exclusivity in using these innovations. Recently, these models have been compounded in the private-collective innovation model where innovators privately fund public goods innovations. Private-collective innovation is illustrated in the case of open source software development. This paper contributes to the work on this model by investigating incentives that motivate innovators to share their knowledge in an initial situation, before there is a community to support the innovation process. We use game theory to predict knowledge sharing behavior in private-collective innovation, and test these predictions in a laboratory setting. The results show that knowledge sharing is a coordination game with multiple equilibria, reflecting the fragility of knowledge sharing between innovators with conflicting interests. The experimental results demonstrate important asymmetries in the fragility of knowledge sharing and, in some situations, more knowledge sharing than theoretically predicted. A behavioral analysis suggests that knowledge sharing in private-collective innovation is not only affected by material incentives, but also by social preferences such as fairness. The results offer general insights into the relationship between incentives and knowledge sharing and contribute to a better understanding of the initiation of private-collective innovation

Synthetic Social Support: Theorizing Lay Health Worker Interventions

Levels of social support are strongly associated with health outcomes and inequalities. The use of lay health workers (LHWs) has been suggested by policy makers across the world as an intervention to identify risks to health and to promote health, particularly in disadvantaged communities. However, there have been few attempts to theorize the work undertaken by LHWs to understand how interventions work. In this article, the authors present the concept of 'synthetic socialsupport' and distinguish it from the work of health professionals or the spontaneous social support received from friends and family. The authors provide new empirical data to illustrate the concept based on qualitative, observational research, using a novel shadowing method involving clinical and non-clinical researchers, on the everyday work of 'pregnancy outreach workers' (POWs) in Birmingham, UK. The service was being evaluated as part of a randomized controlled trial. These LHWs provided instrumental, informational, emotional and appraisal support to the women they worked with, which are all key components of social support. The social support was 'synthetic' because it was distinct from the support embedded in spontaneous social networks: it was non-reciprocal; it was offered on a strictly time-limited basis; the LHWs were accountable for the relationship, and the social networks produced were targeted rather than spontaneous. The latter two qualities of this synthetic form of social support may have benefits over spontaneous networks by improving the opportunities for the cultivation of new relationships (both strong and weak ties) outside the women's existing spontaneous networks that can have a positive impact on them and by offering a reliable source of health information and support in a chaotic environment. The concept of SSS can help inform policy makers about how deploying lay workers may enable them to achieve desired outcomes, specify their programme theories and evaluate accordingly. [Abstract copyright: Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

Intellectual Property, Open Science and Research Biobanks

In biomedical research and translational medicine, the ancient war between exclusivity (private control over information) and access to information is proposing again on a new battlefield: research biobanks. The latter are becoming increasingly important (one of the ten ideas changing the world, according to Time magazine) since they allow to collect, store and distribute in a secure and professional way a critical mass of human biological samples for research purposes. Tissues and related data are fundamental for the development of the biomedical research and the emerging field of translational medicine: they represent the “raw material” for every kind of biomedical study. For this reason, it is crucial to understand the boundaries of Intellectual Property (IP) in this prickly context. In fact, both data sharing and collaborative research have become an imperative in contemporary open science, whose development depends inextricably on: the opportunities to access and use data, the possibility of sharing practices between communities, the cross-checking of information and results and, chiefly, interactions with experts in different fields of knowledge. Data sharing allows both to spread the costs of analytical results that researchers cannot achieve working individually and, if properly managed, to avoid the duplication of research. These advantages are crucial: access to a common pool of pre-competitive data and the possibility to endorse follow-on research projects are fundamental for the progress of biomedicine. This is why the "open movement" is also spreading in the biobank's field. After an overview of the complex interactions among the different stakeholders involved in the process of information and data production, as well as of the main obstacles to the promotion of data sharing (i.e., the appropriability of biological samples and information, the privacy of participants, the lack of interoperability), we will firstly clarify some blurring in language, in particular concerning concepts often mixed up, such as “open source” and “open access”. The aim is to understand whether and to what extent we can apply these concepts to the biomedical field. Afterwards, adopting a comparative perspective, we will analyze the main features of the open models – in particular, the Open Research Data model – which have been proposed in literature for the promotion of data sharing in the field of research biobanks. After such an analysis, we will suggest some recommendations in order to rebalance the clash between exclusivity - the paradigm characterizing the evolution of intellectual property over the last three centuries - and the actual needs for access to knowledge. We argue that the key factor in this balance may come from the right interaction between IP, social norms and contracts. In particular, we need to combine the incentives and the reward mechanisms characterizing scientific communities with data sharing imperative

Bodies Moving and Being Moved: Mapping affect in Christian Nold's Bio Mapping

In A History of Spaces (2004), John Pickles observes that one of the less well-known representational norms of mapping is its focus on ‘natural and physical objects rather than developing universal conventions dealing with symbol, affect and movement.’ New media artist Christian Nold's work has dealt explicitly with two of these cartographic blindspots, grafting new and old technologies that both, in different ways, create bodily traces – the GPS trace of movement and the GSR (galvanic skin response) trace of arousal, often taken as an index of emotional response. Although Nold's socially engaged practice can be placed within the ‘locative media’ genre it also taps into the technological imaginaries around physiological sensors and intimate data. This paper considers Nold's Bio Mapping (2004-) projects in the context of his longstanding concern with social collectives and public space as a field of social relations. Looking at particular maps from Nold's Bio Mapping project, it considers the implications of blending the traces of the body's internal states with the traces produced by locomotive movement, and the relationship between the individuals thus traced and the collectives that Nold seeks to represent. Concurrent with Nold's practice there has been a wave of interest in affect and emotion (and the distinction between them) within the humanities. This paper brings Nold's work into contact with the Deleuzian/Spinozan concept of affect employed in one strand of this writing, drawing in particular on the work of Brian Massumi. Rather than using theory to simply illustrate Nold's practice, it follows the implications of Deleuze's cartographic model of individuation, the logic of which ultimately problematises the very distinction between the two bodily phenomena traced by Nold's device