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Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
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Motivation and physical activity levels in bariatric patients involved in a self-determination theory-based physical activity program
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An Exploratory Analysis of Accelerometer-Measured Physical Activity and Emotional Functioning in Patients With Chronic Pain
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Generation of human induced pluripotent stem cell lines from sporadic, sporadic frontotemporal dementia, familial SOD1, and familial C9orf72 amyotrophic lateral sclerosis (ALS) patients
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Reply to: Population genetic considerations regarding the interpretation of within-patient SARS-CoV-2 polymorphism data
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Identifying COVID-19 cases and extracting patient reported symptoms from Reddit using natural language processing
We used social media data from “covid19positive” subreddit, from 03/2020 to 03/2022 to identify COVID-19 cases and extract their reported symptoms automatically using natural language processing (NLP). We trained a Bidirectional Encoder Representations from Transformers classification model with chunking to identify COVID-19 cases; also, we developed a novel QuadArm model, which incorporates Question-answering, dual-corpus expansion, Adaptive rotation clustering, and mapping, to extract symptoms. Our classification model achieved a 91.2% accuracy for the early period (03/2020-05/2020) and was applied to the Delta (07/2021–09/2021) and Omicron (12/2021–03/2022) periods for case identification. We identified 310, 8794, and 12,094 COVID-positive authors in the three periods, respectively. The top five common symptoms extracted in the early period were coughing (57%), fever (55%), loss of sense of smell (41%), headache (40%), and sore throat (40%). During the Delta period, these symptoms remained as the top five symptoms with percent authors reporting symptoms reduced to half or fewer than the early period. During the Omicron period, loss of sense of smell was reported less while sore throat was reported more. Our study demonstrated that NLP can be used to identify COVID-19 cases accurately and extracted symptoms efficiently.
Gratitude despite unease among Swedish male forensic psychiatric patients with substance use disorders: an interview study
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Alterations of the gut commensal akkermansia muciniphila in patients with COVID-19
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