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Aerosol-cloud interactions contribute significant uncertainty to modern climate model predictions. Analysis of complex observed aerosol-cloud parameter relationships is a crucial piece of reducing this uncertainty. Here, we apply two machine learning methods to explore variability in in-situ observations from the NASA ACTIVATE mission. These observations consist of flights over the Western North Atlantic Ocean, providing a large repository of data including aerosol, meteorological, and microphysical conditions in and out of clouds. We investigate this dataset using principal component analysis (PCA), a linear dimensionality reduction technique, and an autoencoder, a deep learning non-linear dimensionality reduction technique. We find that we can reduce the dimensionality of the parameter space by more than a factor of 2 and verify that the deep learning method outperforms a PCA baseline by two orders of magnitude. Analysis in the low dimensional space of both these techniques reveals two consistent physically interpretable regimes—a low pollution regime and an in-cloud regime. Through this work, we show that unsupervised machine learning techniques can learn useful information from in-situ atmospheric observations and provide interpretable results of low-dimensional variability.
This study explored the effects of different human milk oligosaccharides (HMOs), solely and in combination, on gut microbiota composition and metabolic activity (organic acid production), using anaerobic in vitro batch culture fermenters. The aim was to compare prebiotic effects of HMOs (2’FL, 3’FL, 3’SL, 6’SL, LNT, LNnT, and 1:1 ratio mixes of 2’FL/3’SL and 3’SL/LNT) in faecal samples from irritable bowel syndrome (IBS) donors and healthy controls, and to determine the best-performing HMO in IBS. Fluorescent in situ hybridisation coupled with flow cytometry was utilised to study microbiota changes in major colonic genera, and organic acid production was assessed by gas chromatography. IBS donors had different starting microbial profiles compared to healthy controls and lower levels of organic acids. In response to HMOs, there were alterations in both the control and IBS faecal microbiomes. In IBS donor fermenters, Bifidobacterium, Faecalibacterium, total bacterial numbers, and organic acid production significantly increased post-HMO intervention. When comparing the effect of HMO interventions on the microbiota and organic acid production, a mix of 3’SL/LNT HMOs may be the most promising intervention for IBS patients.
Experimental methods are currently being extensively used to elicit subjective values for commodities and projects. Three methodological problems are not systematically addressed in this emerging literature. The first is the potential for laboratory responses to be censored by field opportunities, so that lab responses can be confounded by uncontrolled knowledge of the field; the second is the potential for subjective perceptions about field opportunities, and hence valuation responses, to be affected by the institution used to elicit values; and the third is the potential for some elicitation institutions to influence subjective perceptions of characteristics of the commodity or project being valued, and hence change the very commodity being valued. All three problems result in potential loss of control over the value elicitation process. For example, we show that censoring affects conclusions drawn in a major study of beef packaging valuation. We derive implications for experimental designs that minimize the potential effect of these methodological problems.
Converting knowledge from basic research into innovations that improve clinical care requires a specialized workforce that converts a laboratory invention into a product that can be developed and tested for clinical use. As the mandate to demonstrate more real-world impact from the national investment in research continues to grow, the demand for staff that specialize in product development and clinical trials continues to outpace supply. In this study, two academic medical institutions in the greater Houston–Galveston region termed this population the “bridge and clinical research professional” (B + CRP) workforce and assessed its turnover before and after the onset of the COVID-19 pandemic . Both institutions realized growth (1.2 vs 2.3-fold increase) in B + CRP-specific jobs from 2017 to 2022. Turnover increased 1.5–2-fold after the onset of the pandemic but unlike turnover in the larger clinical and translational research academic workforce, the instability did not resolve by 2022. These results are a baseline measurement of the instability of our regional B + CRP workforce and have informed the development of a regional alliance of universities, academic medical centers, and economic development organizations in the greater Houston–Galveston region to increase this highly specialized and skilled candidate pool.
The Agenda for Social Justice 3 provides accessible insights into some of the most pressing social problems in the United States and proposes public policy responses to those problems. Chapters include discussion of social problems related to criminal justice, the economy, food insecurity, education, healthcare, housing and immigration.
To establish quick-reference criteria regarding the frequency of statistically rare changes in seven neuropsychological measures administered to older adults.
Method:
Data from 935 older adults examined over a two-year interval were obtained from the Alzheimer’s Disease Neuroimaging Initiative. The sample included 401 cognitively normal older adults whose scores were used to determine the natural distribution of change scores for seven cognitive measures and to set change score thresholds corresponding to the 5th percentile. The number of test scores that exceeded these thresholds were counted for the cognitively normal group, as well as 381 individuals with mild cognitive impairment (MCI) and 153 individuals with dementia. Regression analyses examined whether the number of change scores predicted diagnostic group membership beyond demographic covariates.
Results:
Only 4.2% of cognitively normal participants obtained two or more change scores that fell below the 5th percentile of change scores, compared to 10.6% of the stable MCI participants and 38.6% of those who converted to dementia. After adjusting for age, gender, race/ethnicity, and premorbid estimates, the number of change scores below the 5th percentile significantly predicted diagnostic group membership.
Conclusions:
It was uncommon for older adults to have two or more change scores fall below the 5th percentile thresholds in a seven-test battery. Higher change counts may identify those showing atypical cognitive decline.
Inpatient behavioral health units (BHUs) had unique challenges in implementing interventions to mitigate coronavirus disease 2019 (COVID-19) transmission, in part due to socialization in BHU settings. The objective of this study was to identify the transmission routes and the efficacy of the mitigation strategies employed during a COVID-19 outbreak in an inpatient BHU during the Omicron surge from December 2021 to January 2022.
Methods:
An outbreak investigation was performed after identifying 2 COVID-19-positive BHU inpatients on December 16 and 20, 2021. Mitigation measures involved weekly point prevalence testing for all inpatients, healthcare workers (HCWs), and staff, followed by infection prevention mitigation measures and molecular surveillance. Whole-genome sequencing on a subset of COVID-19-positive individuals was performed to identify the outbreak source. Finally, an outbreak control sustainability plan was formulated for future BHU outbreak resurgences.
Results:
We identified 35 HCWs and 8 inpatients who tested positive in the BHU between December 16, 2021, and January 17, 2022. We generated severe acute respiratory coronavirus virus 2 (SARS-CoV-2) genomes from 15 HCWs and all inpatients. Phylogenetic analyses revealed 3 distinct but genetically related clusters: (1) an HCW and inpatient outbreak likely initiated by staff, (2) an HCW and inpatient outbreak likely initiated by an inpatient visitor, and (3) an HCW-only cluster initiated by staff.
Conclusions:
Distinct transmission clusters are consistent with multiple, independent SARS-CoV-2 introductions with further inpatient transmission occurring in communal settings. The implemented outbreak control plan comprised of enhanced personal protective equipment requirements, limited socialization, and molecular surveillance likely minimized disruptions to patient care as a model for future pandemics.
The Minnesota Longitudinal Study of Risk and Adaptation (MLSRA) is a landmark prospective, longitudinal study of human development focused on a sample of mothers experiencing poverty and their firstborn children. Although the MLSRA pioneered a number of important topics in the area of social and emotional development, it began with the more specific goal of examining the antecedents of child maltreatment. From that foundation and for more than 40 years, the study has produced a significant body of research on the origins, sequelae, and measurement of childhood abuse and neglect. The principal objectives of this report are to document the early history of the MLSRA and its contributions to the study of child maltreatment and to review and summarize results from the recently updated childhood abuse and neglect coding of the cohort, with particular emphasis on findings related to adult adjustment. While doing so, we highlight key themes and contributions from Dr Dante Cicchetti’s body of research and developmental psychopathology perspective to the MLSRA, a project launched during his tenure as a graduate student at the University of Minnesota.
Edited by
William J. Brady, University of Virginia,Mark R. Sochor, University of Virginia,Paul E. Pepe, Metropolitan EMS Medical Directors Global Alliance, Florida,John C. Maino II, Michigan International Speedway, Brooklyn,K. Sophia Dyer, Boston University Chobanian and Avedisian School of Medicine, Massachusetts
The involvement of dignitaries within mass gathering events can often impose several difficult levels of complexity, both during the planning phases and throughout the event itself. Whether the dignitaries are the reason for the mass gathering or they are on location as additional special attendees of the event, so-called “very important persons” (VIPs) such as celebrities, royalty, or major political figures can affect the planning and preparations for medical management contingencies as well as the operational aspects of such events [1–3]. Beyond the typical challenges of mass gathering medicine and protective security aspects, the concepts and practice of executive medicine, concierge medicine, or “protective medicine” pose unique and often unfamiliar and uncomfortable adaptations in terms of delivering medical advice and care. Medically, there is often limited access and reticence to expose the VIP to unfamiliar practitioners. Requests for medications or therapies in the absence of directly seeing the patient is more common. There is also an expectation that the medical care provider will come to see the VIP at the site and not at an off-site medical facility.