381 research outputs found

    Scalable And Secure Provenance Querying For Scientific Workflows And Its Application In Autism Study

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    In the era of big data, scientific workflows have become essential to automate scientific experiments and guarantee repeatability. As both data and workflow increase in their scale, requirements for having a data lineage management system commensurate with the complexity of the workflow also become necessary, calling for new scalable storage, query, and analytics infrastructure. This system that manages and preserves the derivation history and morphosis of data, known as provenance system, is essential for maintaining quality and trustworthiness of data products and ensuring reproducibility of scientific discoveries. With a flurry of research and increased adoption of scientific workflows in processing sensitive data, i.e., health and medication domain, securing information flow and instrumenting access privileges in the system have become a fundamental precursor to deploying large-scale scientific workflows. That has become more important now since today team of scientists around the world can collaborate on experiments using globally distributed sensitive data sources. Hence, it has become imperative to augment scientific workflow systems as well as the underlying provenance management systems with data security protocols. Provenance systems, void of data security protocol, are susceptible to vulnerability. In this dissertation research, we delineate how scientific workflows can improve therapeutic practices in autism spectrum disorders. The data-intensive computation inherent in these workflows and sensitive nature of the data, necessitate support for scalable, parallel and robust provenance queries and secured view of data. With that in perspective, we propose OPQLPigOPQL^{Pig}, a parallel, robust, reliable and scalable provenance query language and introduce the concept of access privilege inheritance in the provenance systems. We characterize desirable properties of role-based access control protocol in scientific workflows and demonstrate how the qualities are integrated into the workflow provenance systems as well. Finally, we describe how these concepts fit within the DATAVIEW workflow management system

    Application of miRNA-seq in neuropsychiatry: A methodological perspective

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    MiRNAs are emerging as key molecules to study neuropsychiatric diseases. However, despite the large number of methodologies and software for miRNA-seq analyses, there is little supporting literature for researchers in this area. This review focuses on evaluating how miRNA-seq has been used to study neuropsychiatric diseases to date, analyzing both the main findings discovered and the bioinformatics workflows and tools used from a methodological perspective. The objective of this review is two-fold: first, to evaluate current miRNA-seq procedures used in neuropsychiatry; and second, to offer comprehensive information that can serve as a guide to new researchers in bioinformatics. After conducting a systematic search (from 2016 to June 30, 2020) of articles using miRNA-seq in neuropsychiatry, we have seen that it has already been used for different types of studies in three main categories: diagnosis, prognosis, and mechanism. We carefully analyzed the bioinformatics workflows of each study, observing a high degree of variability with respect to the tools and methods used and several methodological complexities that are identified and discussed in this reviewInstituto de Salud Carlos III | Ref. PI18/01311Ministerio de EconomĂ­a y Competitividad | Ref. RYC2014-15246Xunta de Galicia | Ref. ED431C2018/55-GR

    AI in patient flow: applications of artificial intelligence to improve patient flow in NHS acute mental health inpatient units

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    Introduction: Growing demand for mental health services, coupled with funding and resource limitations, creates an opportunity for novel technological solutions including artificial intelligence (AI). This study aims to identify issues in patient flow on mental health units and align them with potential AI solutions, ultimately devising a model for their integration at service level. Method: Following a narrative literature review and pilot interview, 20 semi-structured interviews were conducted with AI and mental health experts. Thematic analysis was then used to analyse and synthesise gathered data and construct an enhanced model. Results: Predictive variables for length-of-stay and readmission rate are not consistent in the literature. There are, however, common themes in patient flow issues. An analysis identified several potential areas for AI-enhanced patient flow. Firstly, AI could improve patient flow by streamlining administrative tasks and optimising allocation of resources. Secondly, real-time data analytics systems could support clinician decision-making in triage, discharge, diagnosis and treatment stages. Finally, longer-term, development of solutions such as digital phenotyping could help transform mental health care to a more preventative, personalised model. Conclusions: Recommendations were formulated for NHS trusts open to adopting AI patient flow enhancements. Although AI offers many promising use-cases, greater collaborative investment and infrastructure are needed to deliver clinically validated improvements. Concerns around data-use, regulation and transparency remain, and hospitals must continue to balance guidelines with stakeholder priorities. Further research is needed to connect existing case studies and develop a framework for their evaluation

    Wright State University\u27s Symposium of Student Research, Scholarship & Creative Activities from Thursday, October 26, 2023

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    The student abstract booklet is a compilation of abstracts from students\u27 oral and poster presentations at Wright State University\u27s Symposium of Student Research, Scholarship & Creative Activities on October 26, 2023.https://corescholar.libraries.wright.edu/celebration_abstract_books/1001/thumbnail.jp

    Youth Suicide Prevention and Intervention

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    This open access book focuses on the public health crisis of youth suicide and provides a review of current research and prevention practices. It addresses important topics, including suicide epidemiology, suicide risk detection in school and medical settings, critical cultural considerations, and approaches to lethal means safety. This book offers cutting-edge research on emerging discoveries in the neurobiology of suicide, psychopharmacology, and machine learning. It focuses on upstream suicide prevention research methods and details how cost-effective approaches can mitigate youth suicide risk when implemented at a universal level. Chapters discuss critical areas for future research, including how to evaluate the effectiveness of suicide prevention and intervention efforts, increase access to mental health care, and overcome systemic barriers that undermine generalizability of prevention strategies. Finally, this book highlights what is currently working well in youth suicide prevention and, just as important, which areas require more attention and support. Key topics include: The neurobiology of suicide in at-risk children and adolescents. The role of machine learning in youth suicide prevention. Suicide prevention, intervention, and postvention in schools. Suicide risk screening and assessment in medical settings. Culturally informed risk assessment and suicide prevention efforts with minority youth. School mental health partnerships and telehealth models of care in rural communities. Suicide and self-harm prevention and interventions for LGBTQ+ youth. Risk factors associated with suicidal behavior in Black youth. Preventing suicide in youth with autism spectrum disorder (ASD) and intellectual disability (ID). Youth Suicide Prevention and Intervention is a must-have resource for policy makers and related professionals, graduate students, and researchers in child and school psychology, family studies, public health, social work, law/criminal justice, sociology, and all related disciplines

    Youth Suicide Prevention and Intervention

    Get PDF
    This open access book focuses on the public health crisis of youth suicide and provides a review of current research and prevention practices. It addresses important topics, including suicide epidemiology, suicide risk detection in school and medical settings, critical cultural considerations, and approaches to lethal means safety. This book offers cutting-edge research on emerging discoveries in the neurobiology of suicide, psychopharmacology, and machine learning. It focuses on upstream suicide prevention research methods and details how cost-effective approaches can mitigate youth suicide risk when implemented at a universal level. Chapters discuss critical areas for future research, including how to evaluate the effectiveness of suicide prevention and intervention efforts, increase access to mental health care, and overcome systemic barriers that undermine generalizability of prevention strategies. Finally, this book highlights what is currently working well in youth suicide prevention and, just as important, which areas require more attention and support. Key topics include: The neurobiology of suicide in at-risk children and adolescents. The role of machine learning in youth suicide prevention. Suicide prevention, intervention, and postvention in schools. Suicide risk screening and assessment in medical settings. Culturally informed risk assessment and suicide prevention efforts with minority youth. School mental health partnerships and telehealth models of care in rural communities. Suicide and self-harm prevention and interventions for LGBTQ+ youth. Risk factors associated with suicidal behavior in Black youth. Preventing suicide in youth with autism spectrum disorder (ASD) and intellectual disability (ID). Youth Suicide Prevention and Intervention is a must-have resource for policy makers and related professionals, graduate students, and researchers in child and school psychology, family studies, public health, social work, law/criminal justice, sociology, and all related disciplines

    Highlights From the Annual Meeting of the American Epilepsy Society 2022

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    With more than 6000 attendees between in-person and virtual offerings, the American Epilepsy Society Meeting 2022 in Nashville, felt as busy as in prepandemic times. An ever-growing number of physicians, scientists, and allied health professionals gathered to learn a variety of topics about epilepsy. The program was carefully tailored to meet the needs of professionals with different interests and career stages. This article summarizes the different symposia presented at the meeting. Basic science lectures addressed the primary elements of seizure generation and pathophysiology of epilepsy in different disease states. Scientists congregated to learn about anti-seizure medications, mechanisms of action, and new tools to treat epilepsy including surgery and neurostimulation. Some symposia were also dedicated to discuss epilepsy comorbidities and practical issues regarding epilepsy care. An increasing number of patient advocates discussing their stories were intertwined within scientific activities. Many smaller group sessions targeted more specific topics to encourage member participation, including Special Interest Groups, Investigator, and Skills Workshops. Special lectures included the renown Hoyer and Lombroso, an ILAE/IBE joint session, a spotlight on the impact of Dobbs v. Jackson on reproductive health in epilepsy, and a joint session with the NAEC on coding and reimbursement policies. The hot topics symposium was focused on traumatic brain injury and post-traumatic epilepsy. A balanced collaboration with the industry allowed presentations of the latest pharmaceutical and engineering advances in satellite symposia

    Proceedings of the 3rd Biennial Conference of the Society for Implementation Research Collaboration (SIRC) 2015: advancing efficient methodologies through community partnerships and team science

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    It is well documented that the majority of adults, children and families in need of evidence-based behavioral health interventionsi do not receive them [1, 2] and that few robust empirically supported methods for implementing evidence-based practices (EBPs) exist. The Society for Implementation Research Collaboration (SIRC) represents a burgeoning effort to advance the innovation and rigor of implementation research and is uniquely focused on bringing together researchers and stakeholders committed to evaluating the implementation of complex evidence-based behavioral health interventions. Through its diverse activities and membership, SIRC aims to foster the promise of implementation research to better serve the behavioral health needs of the population by identifying rigorous, relevant, and efficient strategies that successfully transfer scientific evidence to clinical knowledge for use in real world settings [3]. SIRC began as a National Institute of Mental Health (NIMH)-funded conference series in 2010 (previously titled the “Seattle Implementation Research Conference”; $150,000 USD for 3 conferences in 2011, 2013, and 2015) with the recognition that there were multiple researchers and stakeholdersi working in parallel on innovative implementation science projects in behavioral health, but that formal channels for communicating and collaborating with one another were relatively unavailable. There was a significant need for a forum within which implementation researchers and stakeholders could learn from one another, refine approaches to science and practice, and develop an implementation research agenda using common measures, methods, and research principles to improve both the frequency and quality with which behavioral health treatment implementation is evaluated. SIRC’s membership growth is a testament to this identified need with more than 1000 members from 2011 to the present.ii SIRC’s primary objectives are to: (1) foster communication and collaboration across diverse groups, including implementation researchers, intermediariesi, as well as community stakeholders (SIRC uses the term “EBP champions” for these groups) – and to do so across multiple career levels (e.g., students, early career faculty, established investigators); and (2) enhance and disseminate rigorous measures and methodologies for implementing EBPs and evaluating EBP implementation efforts. These objectives are well aligned with Glasgow and colleagues’ [4] five core tenets deemed critical for advancing implementation science: collaboration, efficiency and speed, rigor and relevance, improved capacity, and cumulative knowledge. SIRC advances these objectives and tenets through in-person conferences, which bring together multidisciplinary implementation researchers and those implementing evidence-based behavioral health interventions in the community to share their work and create professional connections and collaborations
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