Effects of mindfulness-based stress reduction on stress response and job burnout of head nurses in the context of Coronavirus disease 2019

Objective To explore the efforts of applying mindfulness stress reduction therapy in alleviating stress reactions and burnout among head nurses in the context of the Coronavirus disease 2019 (COVID-19). Methods This was a quasi experimental study. In June 2021, 109 head nurses with mild or above burnout measured by Maslach Burnout Inventory (MBI) from 12 hospitals in Zhangjiagang City were selected as the research objects to implement mindfulness-based stress reduction therapy for 8 weeks, and the scores of the Five Facet Mindfulness Question-naire (FFMQ), Stress Response Questionnaire (SRQ) and MBI of the head nurses were compared before and after the intervention. Results The five dimensions of observation, description, perceived action, non-judgment, and non-response and the total scores of the FFMQ were (26.28 ± 1.32), (26.94 ± 1.29), (25.49 ± 0.99), (25.45 ± 1.05), (23.48 ± 1.01), and (127.63 ± 3.78) of the post-intervention, which were higher than the pre-intervention scores of (25.04 ± 1.37), (25.04 ± 1.37), (25.37 ± 1.18), (24.15 ± 1.00), (24.09 ± 0.98), (22.26 ± 1.04), and (120.90 ± 4.06), with statistically significant differences (t values were -39.21- -15.36, all P＜0.01). The three dimensions of emotional, somatic, and behavioral responses and total scores of the post-intervention SRQ were (27.70 ± 6.12), (20.75 ± 4.20), (15.19 ± 3.11), and (65.99 ± 12.43), respectively, lower than the pre-intervention scores of (29.19 ± 6.91), (21.86 ± 5.20), (16.48 ± 4.16), and (70.12 ± 15.97), with statistically significant differences (t values were 5.70-9.33, all P＜0.01);the scores of dimensions of emotional exhaustion and depersonalization in post-intervention MBI were (26.24 ± 4.60) and (5.96 ± 1.25), lower than the pre-intervention scores of (29.66 ± 6.02) and (6.90 ± 1.59). The post-intervention scores of personal fulfillment (32.37 ± 5.02), higher than the pre-intervention scores of (28.60 ± 6.04), all with statistically significant differences (t=15.36, 13.50, - 9.65, all P＜0.01). Conclusions The implementation of mindfulness stress reduction therapy for the head nurses can relieve their work pressure due to the prevention and control of the COVID-19 epidemic, reshape their healthy psychology, and reduce job burnout. © The Author(s) 2023.

Mechanism of microwave-assisted iron-based catalyst pyrolysis of discarded COVID-19 masks

Inexpensive iron-based catalysts are the most promising catalysts for microwave pyrolysis of waste plastics, especially a large number of disposable medical masks (DMMs) with biological hazards produced by spread of COVID-19. However, most synthesized iron-based catalysts have very low microwave heating efficiency due to the enrichment state of iron. Here, we prepared FeAlOx catalysts using the microwave heating method and found that the microwave heating efficiency of amorphous iron and hematite is very low, indeed, these materials can hardly initiate pyrolysis at room temperature, which limits the application of iron-based catalysts in microwave pyrolysis. By contrast, a mixture of DMMs and low-valent iron oxides produced by hydrogen reduction at 500 °C can be heated by microwaves to temperatures above 900 °C under the same conditions. When the hydrogen reduction temperature was incerased to 800 °C, the content of metallic iron in the catalyst gradually increased from 0.34 to 21.43%, which enhanced the microwave response ability of the catalyst, and decreased the gas content in the pyrolysis product from 78.91 to 70.93 wt%;corresponding hydrogen yield also decreased from 29.03 to 25.02 mmolH2·g-1DMMs. Moreover, the morphology of the deposited solid carbon gradually changed from multi-walled CNTs to bamboo-like CNTs. This study clarifies the pyrolysis mechanism of microwave-assisted iron catalysts and lays a theoretical foundation for their application in microwave pyrolysis. © 2022 Elsevier Ltd

Mechanism of microwave-assisted iron-based catalyst pyrolysis of discarded COVID-19 masks

Inexpensive iron-based catalysts are the most promising catalysts for microwave pyrolysis of waste plastics, especially a large number of disposable medical masks (DMMs) with biological hazards produced by spread of COVID-19. However, most synthesized iron-based catalysts have very low microwave heating efficiency due to the enrichment state of iron. Here, we prepared FeAlOx catalysts using the microwave heating method and found that the microwave heating efficiency of amorphous iron and hematite is very low, indeed, these materials can hardly initiate pyrolysis at room temperature, which limits the application of iron-based catalysts in microwave pyrolysis. By contrast, a mixture of DMMs and low-valent iron oxides produced by hydrogen reduction at 500 degreeC can be heated by microwaves to temperatures above 900 degreeC under the same conditions. When the hydrogen reduction temperature was incerased to 800 degreeC, the content of metallic iron in the catalyst gradually increased from 0.34 to 21.43%, which enhanced the microwave response ability of the catalyst, and decreased the gas content in the pyrolysis product from 78.91 to 70.93 wt%;corresponding hydrogen yield also decreased from 29.03 to 25.02 mmolH2.g-1DMMs. Moreover, the morphology of the deposited solid carbon gradually changed from multi-walled CNTs to bamboo-like CNTs. This study clarifies the pyrolysis mechanism of microwave-assisted iron catalysts and lays a theoretical foundation for their application in microwave pyrolysis.

A Low-Cost In-situ System for Continuous Multi-Person Fever Screening

With the recent societal impact of COVID-19, companies and government agencies alike have turned to thermal camera based skin temperature sensing technology to help screen for fever. However, the cost and deployment restrictions limit the wide use of these thermal sensing technologies. In this work, we present SIFTER, a low-cost system based on a RGB-thermal camera for continuous fever screening of multiple people. This system detects and tracks heads in the RGB and thermal domains and constructs thermal heat map models for each tracked person, and classifies people as having or not having fever. SIFTER can obtain key temperature features of heads in-situ at a distance and produce fever screening predictions in real-time, significantly improving screening through-put while minimizing disruption to normal activities. In our clinic deployment, SIFTER measurement error is within 0.4°F at 2 meters and around 0.6°F at 3.5 meters. In comparison, most infrared thermal scanners on the market costing several thousand dollars have around 1°F measurement error measured within 0.5 meters. SIFTER can achieve 100% true positive rate with 22.5% false positive rate without requiring any human interaction, greatly outperforming our baseline [1], which sees a false positive rate of 78.5%. © 2022 IEEE.

Integrative analyses identify genes and their functional consequences underlying COVID-19 hospitalization

Recent emergence of SARS-Cov-2 has resulted in unprecedented spread of COVID-19 exhibiting wide variability in individuals’ symptoms. Despite rapid progress in characterizing the role of host genetics in SARS-Cov-2 infection, there is limited understanding of the role of host genetic variation and the molecular mechanisms including the knowledge of genes and pathways that contribute to COVID-19. Previous research to understand the mechanisms underlying severe COVID-19 outcomes have focused on lung- and brain-related pathologies. Here, we integrated a genome-wide association study of COVID-19 hospitalization (7,885 cases and 961,804 controls from COVID-19 Host Genetics Initiative) with mRNA expression, splicing, and protein levels (n = 18,502). We identified 27 genes related to inflammation and coagulation pathways whose genetically predicted expression was associated with COVID-19 hospitalization. These genes converge on cytokine-cytokine and the JAK-STAT signaling pathways. We functionally characterized the 27 genes using phenome- and laboratory-wide association scans in Vanderbilt Biobank (BioVU;n = 85,460) and identified coagulation-related clinical symptoms, immunologic, and blood-cell-related biomarkers. We replicated these findings in the African-American cohort here in BioVU and found concordant results. This study highlights putative causal genes impacting COVID-19 severity and symptomology through the host inflammatory response.