Ethnographic Research in the U.S. Intelligence Community: Opportunities and Challenges

This article considers lessons learned from conducting research inside the intelligence community. Drawing on a year of ethnographic field work and interviews at the National Counterterrorism Center, I show that “boundary personnel”- people who navigate between the worlds of academia and national security - provide value added in the form of tacit knowledge that outside researchers would not be able to deliver. At the same time, these people face delays, challenges to freedom of information, and ethical considerations that are unique to their positions. Despite setbacks, social scientists must continue their engagement with national security organizations to further our understanding of how these powerful institutions operate

An Academic Report on New Orleans Airlift: An Internship Academic Report

This academic report was composed at the conclusion of a 480-hour internship with New Orleans Airlift. This report includes Airlift’s mission, history, and organizational structure, a SWOT analysis, duties and projects completed and a summary of best practices. Listed are also a series of suggestions and recommendations as to how New Orleans Airlift can improve and strengthen current practices to maximize its potential as a small arts organization

Applying a Named Entity Recognition Model to Chemical Patents

Named Entity Recognition (NER) is an application of Natural Language Processing (NLP) that involves recording entities contained in a text excerpt and classifying them into predefined category types. Unstructured text, or text without a predefined format is converted into structured text that can serve as input to an NER model. Here, we use a pretrained NER model to extract and classify chemical entities from patents/ This streamlines the process of determining the number and types of chemical agents used in a specific patent. This information may be useful for researchers, pharmaceutical companies, and agencies such as the FDA.https://scholarscompass.vcu.edu/reu/1011/thumbnail.jp

Nursing in an age of multimorbidity.

BackgroundA changing sociodemographic landscape has seen rising numbers of people with two or more long-term health conditions. Multimorbidity presents numerous challenges for patients and families and those who work in healthcare services. Therefore, the nursing profession needs to understand the issues involved in supporting people with multiple chronic conditions and how to prepare the future workforce to care for them.MethodsA descriptive, exploratory study was used to examine the future of nursing in an age of multimorbidity. An hour-long Twitter chat was organised and run by the Florence Nightingale Foundation Chairs of Clinical Nursing Practice Research to discuss this important area of practice and identify what needs to be done to adequately upskill and prepare the nursing profession to care for individuals with more than one long-term illness. Questions were formulated in advance to provide some structure to the online discussion. Data were collected and analysed from the social media platform using NVivo and an analytics tool called Keyhole. Descriptive statistics were used to describe participants and thematic analysis aided the identification of key themes.ResultsTwenty-four people, from a range of nursing backgrounds and organisations, took part in the social media discussion. Five themes encompassing coping with treatment burden, delivering holistic care, developing an evidence base, stimulating learning and redesigning health services were seen as key to ensuring nurses could care for people with multimorbidity and prevent others from developing chronic health conditions.ConclusionsMultimorbidity is a pressing health issue in today’s society. Changes in nursing research, education and practice are required to help the profession work collaboratively with patients, families and multidisciplinary teams to better manage and prevent chronic illness now and in the future

Crossâ Network Directory Service: Infrastructure to enable collaborations across distributed research networks

IntroductionExisting largeâ scale distributed health data networks are disconnected even as they address related questions of healthcare research and public policy. This paper describes the design and implementation of a fully functional prototype openâ source tool, the Crossâ Network Directory Service (CNDS), which addresses much of what keeps distributed networks disconnected from each other.MethodsThe set of services needed to implement a Crossâ Directory Service was identified through engagement with stakeholders and workgroup members. CNDS was implemented using PCORnet and Sentinel network instances and tested by participating data partners.ResultsWeb services that enable the four major functional features of the service (registration, discovery, communication, and governance) were developed and placed into an openâ source repository. The services include a robust metadata model that is extensible to accommodate a virtually unlimited inventory of metadata fields, without requiring any further software development. The user interfaces are programmatically generated based on the contents of the metadata model.ConclusionThe CNDS pilot project gathered functional requirements from stakeholders and collaborating partners to build a software application to enable crossâ network data and resource sharing. The two partnersâ one from Sentinel and one from PCORnetâ tested the software. They successfully entered metadata about their organizations and data sources and then used the Discovery and Communication functionality to find data sources of interest and send a crossâ network query. The CNDS software can help integrate disparate health data networks by providing a mechanism for data partners to participate in multiple networks, share resources, and seamlessly send queries across those networks.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/149237/1/lrh210187.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/149237/2/lrh210187_am.pd

Florence Nightingale's legacy for clinical academics: A framework analysis of a clinical professorial network and a model for clinical academia.

BACKGROUND: Clinical academic nursing roles are rare, and clinical academic leadership positions even more scarce. Amongst the United Kingdom (UK) academia, only 3% of nurses who are employed within universities are clinically active. Furthermore, access to research fellowships and research grant funding for nurses in clinical or academic practice is also limited. The work of Florence Nightingale, the original role model for clinical academic nursing, is discussed in terms of how this has shaped and influenced that of clinical academic nurse leaders in modern UK healthcare settings. We analysed case studies with a view to providing exemplars and informing a new model by which to visualise a trajectory of clinical academic careers. METHODS: A Framework analysis of seven exemplar cases was conducted for a network of Clinical Academic Nursing Professors (n = 7), using a structured template. Independent analysis highlighted shared features of the roles: (a) model of clinical academic practice, (b) infrastructure for the post, (c) capacity-building initiatives, (d) strategic influence, (e) wider influence, (f) local and national implementation initiatives, (g) research area and focus and (h) impact and contribution. FINDINGS: All seven of the professors of nursing involved in this discourse were based in both universities and healthcare organisations in an equal split. All had national and international profiles in their specialist clinical areas and were implementing innovation in their clinical and teaching settings through boundary spanning. We outline a model for career trajectories in clinical academia, and how leadership is crucial. CONCLUSION: The model outlined emphasises the different stages of clinical academic roles in nursing. Nursing as a discipline needs to embrace the value of these roles, which have great potential to raise the standards of healthcare and the status of the profession

A cellular resolution atlas of Broca's area

Brain cells are arranged in laminar, nuclear, or columnar structures, spanning a range of scales. Here, we construct a reliable cell census in the frontal lobe of human cerebral cortex at micrometer resolution in a magnetic resonance imaging (MRI)-referenced system using innovative imaging and analysis methodologies. MRI establishes a macroscopic reference coordinate system of laminar and cytoarchitectural boundaries. Cell counting is obtained with a digital stereological approach on the 3D reconstruction at cellular resolution from a custommade inverted confocal light-sheet fluorescence microscope (LSFM). Mesoscale optical coherence tomography enables the registration of the distorted histological cell typing obtained with LSFM to the MRI-based atlas coordinate system. The outcome is an integrated high-resolution cellular census of Broca's area in a human postmortem specimen, within a whole-brain reference space atlas

The DOCK Protein Sponge Binds to ELMO and Functions in Drosophila Embryonic CNS Development

Cell morphogenesis, which requires rearrangement of the actin cytoskeleton, is essential to coordinate the development of tissues such as the musculature and nervous system during normal embryonic development. One class of signaling proteins that regulate actin cytoskeletal rearrangement is the evolutionarily conserved CDM (C. elegans Ced-5, human DOCK180, Drosophila Myoblast city, or Mbc) family of proteins, which function as unconventional guanine nucleotide exchange factors for the small GTPase Rac. This CDM-Rac protein complex is sufficient for Rac activation, but is enhanced upon the association of CDM proteins with the ELMO/Ced-12 family of proteins. We identified and characterized the role of Drosophila Sponge (Spg), the vertebrate DOCK3/DOCK4 counterpart as an ELMO-interacting protein. Our analysis shows Spg mRNA and protein is expressed in the visceral musculature and developing nervous system, suggesting a role for Spg in later embryogenesis. As maternal null mutants of spg die early in development, we utilized genetic interaction analysis to uncover the role of Spg in central nervous system (CNS) development. Consistent with its role in ELMO-dependent pathways, we found genetic interactions with spg and elmo mutants exhibited aberrant axonal defects. In addition, our data suggests Ncad may be responsible for recruiting Spg to the membrane, possibly in CNS development. Our findings not only characterize the role of a new DOCK family member, but help to further understand the role of signaling downstream of N-cadherin in neuronal development

Effect of angiotensin-converting enzyme inhibitor and angiotensin receptor blocker initiation on organ support-free days in patients hospitalized with COVID-19

IMPORTANCE Overactivation of the renin-angiotensin system (RAS) may contribute to poor clinical outcomes in patients with COVID-19. Objective To determine whether angiotensin-converting enzyme (ACE) inhibitor or angiotensin receptor blocker (ARB) initiation improves outcomes in patients hospitalized for COVID-19. DESIGN, SETTING, AND PARTICIPANTS In an ongoing, adaptive platform randomized clinical trial, 721 critically ill and 58 non–critically ill hospitalized adults were randomized to receive an RAS inhibitor or control between March 16, 2021, and February 25, 2022, at 69 sites in 7 countries (final follow-up on June 1, 2022). INTERVENTIONS Patients were randomized to receive open-label initiation of an ACE inhibitor (n = 257), ARB (n = 248), ARB in combination with DMX-200 (a chemokine receptor-2 inhibitor; n = 10), or no RAS inhibitor (control; n = 264) for up to 10 days. MAIN OUTCOMES AND MEASURES The primary outcome was organ support–free days, a composite of hospital survival and days alive without cardiovascular or respiratory organ support through 21 days. The primary analysis was a bayesian cumulative logistic model. Odds ratios (ORs) greater than 1 represent improved outcomes. RESULTS On February 25, 2022, enrollment was discontinued due to safety concerns. Among 679 critically ill patients with available primary outcome data, the median age was 56 years and 239 participants (35.2%) were women. Median (IQR) organ support–free days among critically ill patients was 10 (–1 to 16) in the ACE inhibitor group (n = 231), 8 (–1 to 17) in the ARB group (n = 217), and 12 (0 to 17) in the control group (n = 231) (median adjusted odds ratios of 0.77 [95% bayesian credible interval, 0.58-1.06] for improvement for ACE inhibitor and 0.76 [95% credible interval, 0.56-1.05] for ARB compared with control). The posterior probabilities that ACE inhibitors and ARBs worsened organ support–free days compared with control were 94.9% and 95.4%, respectively. Hospital survival occurred in 166 of 231 critically ill participants (71.9%) in the ACE inhibitor group, 152 of 217 (70.0%) in the ARB group, and 182 of 231 (78.8%) in the control group (posterior probabilities that ACE inhibitor and ARB worsened hospital survival compared with control were 95.3% and 98.1%, respectively). CONCLUSIONS AND RELEVANCE In this trial, among critically ill adults with COVID-19, initiation of an ACE inhibitor or ARB did not improve, and likely worsened, clinical outcomes. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT0273570