2023 10 20655 https://www.socictopen.socict.org/files/original/18dc2a3c1d362720a824877ead09cf4b.pdf 30815923fb5e086682ec4357f733bc57 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Agricultura sostenible Description An account of the resource Dominio científico: Agricultura sostenible Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Análisis Comparativo del Rendimiento de los Módulos Fotovoltaicos Monocristalino y Policristalino bajo Condiciones Climáticas de Fusagasugá Creator An entity primarily responsible for making the resource Yimy Edisson García Vera, Lina Fernanda Sanabria Pérez, Luz Angela Cruz Pardo, Carlos Humberto Montufar Benavides Description An account of the resource Contexto: Para satisfacer la demanda de energía mundial, la energía solar fotovoltaica ha emergido como una energía renovable, sostenible y amigable con el medio ambiente, usada como alternativa para mitigar el cambio climático causado por uso de energías provenientes de los combustibles fósiles; pensando en ello, es muy importante estudiar el comportamiento de los módulos fotovoltaicos en condiciones reales de funcionamiento. Método: Se implementan dos sistemas fotovoltaicos autónomos similares, uno con módulo policristalino y otro monocristalino, cada uno con sistema de adquisición de datos de temperatura, humedad, voltaje y corriente, los cuales son adquiridos de forma sincronizada por un periodo de tres meses bajo condiciones climáticas locales de Fusagasugá. Resultados: Los datos de temperatura, humedad, irradiancia, voltaje y corriente se utilizan para obtener curvas que muestran el rendimiento energético de los módulos policristalinos y monocristalinos. Conclusiones: Los resultados de este estudio pueden ayudar a predecir el comportamiento de salida de un sistema fotovoltaico, principalmente cuando las condiciones clim´aticas como humedad, temperatura y radiación cambian. Se evidencia un mejor desempeño del módulo monocristalino que el policristalino. Date A point or period of time associated with an event in the lifecycle of the resource 2019 Identifier An unambiguous reference to the resource within a given context 10.14483/23448393.13751 Source A related resource from which the described resource is derived Ingeniería Publisher An entity responsible for making the resource available Universidad Distrital Francisco José de Caldas Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Engineering (General). Civil engineering (General) Relation A related resource <a href="https://revistas.udistrital.edu.co/ojs/index.php/reving/article/view/13751" target="_blank" rel="noreferrer noopener">https://revistas.udistrital.edu.co/ojs/index.php/reving/article/view/13751</a> https://www.socictopen.socict.org/files/original/695c87c622c160995023411244769821.pdf 8de757ee9166d782614e3d640b7a71bc Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Perioperative management by WeChat under the haze of COVID-19 Creator An entity primarily responsible for making the resource Yin-Hao Wang, Li-Ming Zhao, Zi-Yuan Liu, Xue-Min Li Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context 10.18240/ijo.2020.07.22 Source A related resource from which the described resource is derived International Journal of Ophthalmology Publisher An entity responsible for making the resource available Press of International Journal of Ophthalmology (IJO PRESS) Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Ophthalmology https://www.socictopen.socict.org/files/original/f972ef3a370abd70b5b78b07f5dc210a.pdf cd129fb0feab4b3f6a97f0610d9dc206 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The Impact of the Control Measures during the COVID-19 Outbreak on Air Pollution in China Creator An entity primarily responsible for making the resource Ying Li, Zhengqiang Li, Gerrit de Leeuw, Jie Guang, Cheng Fan, Mona Allam, Abdelrazek Elnashar Description An account of the resource The outbreak of the COVID-19 virus in Wuhan, China, in January 2020 just before the Spring Festival and subsequent country-wide measures to contain the virus, effectively resulted in the lock-down of the country. Most industries and businesses were closed, traffic was largely reduced, and people were restrained to their homes. This resulted in the reduction of emissions of trace gases and aerosols, the concentrations of which were strongly reduced in many cities around the country. Satellite imagery from the TROPOspheric Monitoring Instrument (TROPOMI) showed an enormous reduction of tropospheric NO2 concentrations, but aerosol optical depth (AOD), as a measure of the amount of aerosols, was less affected, likely due to the different formation mechanisms and the influence of meteorological factors. In this study, satellite data and ground-based observations were used together to estimate the separate effects of the Spring Festival and the COVID-19 containment measures on atmospheric composition in the winter of 2020. To achieve this, data were analyzed for a period from 30 days before to 60 days after the Spring Festivals in 2017–2020. This extended period of time, including similar periods in previous years, were selected to account for both the decreasing concentrations in response to air pollution control measures, and meteorological effects on concentrations of trace gases and aerosols. Satellite data from TROPOMI provided the spatial distributions over mainland China of the tropospheric vertical column density (VCD) of NO2, and VCD of SO2 and CO. The MODerate resolution Imaging Spectroradiometer (MODIS) provided the aerosol optical depth (AOD). The comparison of the satellite data for different periods showed a large reduction of, e.g., NO2 tropospheric VCDs due to the Spring Festival of up to 80% in some regions, and an additional reduction due to the COVID-19 containment measures of up to 70% in highly populated areas with intensive anthropogenic activities. In other areas, both effects are very small. Ground-based in situ observations from 26 provincial capitals provided concentrations of NO2, SO2, CO, O3, PM2.5, and PM10. The analysis of these data was focused on the situation in Wuhan, based on daily averaged concentrations. The NO2 concentrations started to decrease a few days before the Spring Festival and increased after about two weeks, except in 2020 when they continued to be low. SO2 concentrations behaved in a similar way, whereas CO, PM2.5, and PM10 also decreased during the Spring Festival but did not trace NO2 concentrations as SO2 did. As could be expected from atmospheric chemistry considerations, O3 concentrations increased. The analysis of the effects of the Spring Festival and the COVID-19 containment measures was complicated due to meteorological influences. Uncertainties contributing to the estimates of the different effects on the trace gas concentrations are discussed. The situation in Wuhan is compared with that in 26 provincial capitals based on 30-day averages for four years, showing different effects across China. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource air pollution, spring festival, COVID-19 Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/rs12101613 Source A related resource from which the described resource is derived Remote Sensing Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Science https://www.socictopen.socict.org/files/original/24f361de1e4b652c2ad0f89fe19c42d4.pdf e1b3d9d2e379cf7c61b396a57a157092 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Identifying Group-Specific Sequences for Microbial Communities Using Long k-mer Sequence Signatures Creator An entity primarily responsible for making the resource Ying Wang, Lei Fu, Jie Ren, Zhaoxia Yu, Ting Chen, Fengzhu Sun Description An account of the resource Comparing metagenomic samples is crucial for understanding microbial communities. For different groups of microbial communities, such as human gut metagenomic samples from patients with a certain disease and healthy controls, identifying group-specific sequences offers essential information for potential biomarker discovery. A sequence that is present, or rich, in one group, but absent, or scarce, in another group is considered “group-specific” in our study. Our main purpose is to discover group-specific sequence regions between control and case groups as disease-associated markers. We developed a long k-mer (k ≥ 30 bps)-based computational pipeline to detect group-specific sequences at strain resolution free from reference sequences, sequence alignments, and metagenome-wide de novo assembly. We called our method MetaGO: Group-specific oligonucleotide analysis for metagenomic samples. An open-source pipeline on Apache Spark was developed with parallel computing. We applied MetaGO to one simulated and three real metagenomic datasets to evaluate the discriminative capability of identified group-specific markers. In the simulated dataset, 99.11% of group-specific logical 40-mers covered 98.89% disease-specific regions from the disease-associated strain. In addition, 97.90% of group-specific numerical 40-mers covered 99.61 and 96.39% of differentially abundant genome and regions between two groups, respectively. For a large-scale metagenomic liver cirrhosis (LC)-associated dataset, we identified 37,647 group-specific 40-mer features. Any one of the features can predict disease status of the training samples with the average of sensitivity and specificity higher than 0.8. The random forests classification using the top 10 group-specific features yielded a higher AUC (from ∼0.8 to ∼0.9) than that of previous studies. All group-specific 40-mers were present in LC patients, but not healthy controls. All the assembled 11 LC-specific sequences can be mapped to two strains of Veillonella parvula: UTDB1-3 and DSM2008. The experiments on the other two real datasets related to Inflammatory Bowel Disease and Type 2 Diabetes in Women consistently demonstrated that MetaGO achieved better prediction accuracy with fewer features compared to previous studies. The experiments showed that MetaGO is a powerful tool for identifying group-specific k-mers, which would be clinically applicable for disease prediction. MetaGO is available at https://github.com/VVsmileyx/MetaGO. Date A point or period of time associated with an event in the lifecycle of the resource 2018 Subject The topic of the resource long k-mer, classification, group-specific sequence, metagenomics, microbial community, Disease prediction Identifier An unambiguous reference to the resource within a given context DOI: 10.3389/fmicb.2018.00872 Source A related resource from which the described resource is derived Frontiers in Microbiology Publisher An entity responsible for making the resource available Frontiers Media S.A. Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Microbiology Language A language of the resource EN https://www.socictopen.socict.org/files/original/f8601be9269dff25b26fc5235a7ac5c7.pdf f476b988bdf3cf3b4d5e167313e23a98 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource “Pairing assistance”: the effective way to solve the breakdown of health services system caused by COVID-19 pandemic Creator An entity primarily responsible for making the resource Ying Wang, Lei Hua, Tian-Xiang Chen Description An account of the resource Abstract The most terrifying thing about pandemic could be the large number of patients running against the health service system, which causes a serious shortage of health resources, especially medical personnel. Plotting mortality and diagnosis rates against medical staff resources in 16 cities in Hubei Province, where the epidemic was initially concerned and the most severe, shows a significant negative correlation, indicating the critical role of medical staff resources in controlling epidemics. Nevertheless, it is difficult to ensure that there exist enough medical personnel in cities severely hit by the outbreak. China provides solutions by adopting nationwide “pairing assistance” measures with at least one province assisting one city to alleviate pressure in the most severe area. By plotting the number of patients receiving treatment against day, it is clear that implementing “pairing assistance” is a turning point in China’s fight against epidemics. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource medical personnel, health resources, health service system, COVID-19 pandemic, Pairing assistance Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s12939-020-01190-8 Source A related resource from which the described resource is derived International Journal for Equity in Health Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Public aspects of medicine https://www.socictopen.socict.org/files/original/b2ec3bc06754998a2747a9e13bbc0a87.pdf 075a499d593cc937eac81ee4a71322bf Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Perceived infection transmission routes, infection control practices, psychosocial changes, and management of COVID-19 infected healthcare workers in a tertiary acute care hospital in Wuhan: a cross-sectional survey Creator An entity primarily responsible for making the resource Ying Wang, Na Wang, Xian-Tao Zeng, Xing Huang, Xinghuan Wang, Qiao Huang, Zhimin Chen, Yufeng Yuan, Lisha Luo, Bing-Hui Li, Lin-Lu Ma, Ying-Hui Jin, Yunyun Wang, Zhenyu Pan, Hao Zi, Ming-Juan Zhao, Tong Deng, Zhen-Shun Cheng Description An account of the resource Abstract Background Many healthcare workers were infected by coronavirus disease 2019 (COVID-19) early in the epidemic posing a big challenge for epidemic control. Hence, this study aims to explore perceived infection routes, influencing factors, psychosocial changes, and management procedures for COVID-19 infected healthcare workers. Methods This is a cross-sectional, single hospital-based study. We recruited all 105 confirmed COVID-19 healthcare workers in the Zhongnan Hospital of Wuhan University from February 15 to 29, 2020. All participants completed a validated questionnaire. Electronic consent was obtained from all participants. Perceived causes of infection, infection prevention, control knowledge and behaviour, psychological changes, symptoms and treatment were measured. Results Finally, 103 professional staff with COVID-19 finished the questionnaire and was included (response rate: 98.1%). Of them, 87 cases (84.5%) thought they were infected in working environment in hospital, one (1.0%) thought their infection was due to the laboratory environment, and 5 (4.9%) thought they were infected in daily life or community environment. Swab of throat collection and physical examination were the procedures perceived as most likely causing their infection by nurses and doctors respectively. Forty-three (41.8%) thought their infection was related to protective equipment, utilization of common equipment (masks and gloves). The top three first symptoms displayed before diagnosis were fever (41.8%), lethargy (33.0%) and muscle aches (30.1%). After diagnosis, 88.3% staff experienced psychological stress or emotional changes during their isolation period, only 11.7% had almost no emotional changes. Arbidol (Umifenovir; an anti-influza drug; 69.2%) was the drug most commonly used to target infection in mild and moderate symptoms. Conclusion The main perceived mode of transmission was not maintaining protection when working at a close distance and having intimate contact with infected cases. Positive psychological intervention is necessary. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource healthcare worker, Healthcare professional, 2019ncov, SARS-CoV-2, COVID-19, Infection transmission route Identifier An unambiguous reference to the resource within a given context DOI: 10.1186/s40779-020-00254-8 Source A related resource from which the described resource is derived Military Medical Research Publisher An entity responsible for making the resource available BMC Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine (General), Military Science https://www.socictopen.socict.org/files/original/7c61ffbf21dd74f5309403d36cfd6aa0.pdf c3dc6fcbfec558e3748b78ed6904ee67 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Convalescent Plasma Coupled With Medications for the Treatment of a Severe COVID-19 Patient: Drugs Analysis and Pharmaceutical Care Based on the Newly Established Guidelines for COVID-19 Remedy Creator An entity primarily responsible for making the resource Ying Wang, Yang Zhang, Qian Yu, Kun Zhu Description An account of the resource Given the extreme importance of the current pandemic caused by COVID-19 and due to the fact that scientists agree that there is no identified treatment, this paper analyzes in detail the treatment of a severe COVID-19 patient with convalescent plasma and drugs based on current guidelines for COVID-19 diagnosis and treatment. This can provide a reference for other medical institutions on rational drug use and pharmaceutical care for severe COVID-19 patients. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource convalescent plasma, guideline, therapeutic strategy, drugs analysis, COVID-19 (severe) Identifier An unambiguous reference to the resource within a given context 10.3389/fphar.2020.00966 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Therapeutics. Pharmacology https://www.socictopen.socict.org/files/original/b04b72ea733f717ad7eee7430adb0fd3.pdf e35fd7ec991eb36c9a28c464de858c9c Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Survey of Insomnia and Related Social Psychological Factors Among Medical Staff Involved in the 2019 Novel Coronavirus Disease Outbreak Creator An entity primarily responsible for making the resource Ying Wang, Zhongchun Liu, Bin Zhang, Chenxi Zhang, Chenxi Zhang, Lulu Yang, Lulu Yang, Shuai Liu, Shuai Liu, Simeng Ma, Zhongxiang Cai, Hui Du, Ruiting Li, Lijun Kang, Meilei Su, Meilei Su, Jihui Zhang, Bin Zhang Description An account of the resource ObjectiveThe outbreak of the 2019 novel coronavirus disease (COVID-19) not only caused particularly large public health problems, but also caused great psychological distress, especially for medical staff. We aimed to investigate the prevalence rate of insomnia and to confirm the related social psychological factors among medical staff in hospitals during the COVID-19 outbreak.MethodMedical staff members in China were recruited, including frontline medical workers. The questionnaire, administered through the WeChat program, obtained demographic data and asked self-design questions related to the COVID-19 outbreak, insomnia/depressive/anxiety symptoms, and stress-related symptoms. We used a logistic regression analysis to examine the associations between sociodemographic factors and insomnia symptoms.ResultThere were a total of 1,563 participants in our study. Five-hundred-and-sixty-four (36.1%) participants had insomnia symptoms according to the Insomnia Severity Index (ISI) (total score ≥ 8). A multiple binary logistic regression model revealed that insomnia symptoms were associated with an education level of high school or below (OR = 2.69, p = 0.042, 95% CI = 1.0–7.0), being a doctor (OR = 0.44, p = 0.007, 95% CI = 0.2–0.8), currently working in an isolation unit (OR = 1.71, p = 0.038, 95% CI = 1.0–2.8), is worried about being infected (OR = 2.30, p &lt; 0.001, 95% CI = 1.6–3.4), perceived lack of helpfulness in terms of psychological support from news or social media with regard to COVID-19 (OR = 2.10, p = 0.001, 95% CI = 1.3–3.3), and having very strong uncertainty regarding effective disease control (OR = 3.30, p = 0.013, 95% CI = 1.3–8.5).ConclusionOur study found that more than one-third of the medical staff suffered insomnia symptoms during the COVID-19 outbreak. The related factors included education level, an isolation environment, psychological worries about the COVID-19 outbreak, and being a doctor. Interventions for insomnia among medical staff are needed considering the various sociopsychological factors at play in this situation. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource mental health, covid-19, Stress, Medical staff, sleep quality, insomnia Identifier An unambiguous reference to the resource within a given context 10.3389/fpsyt.2020.00306 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Psychiatry https://www.socictopen.socict.org/files/original/60bb5d3991508bf15ac53c43b060c3e3.pdf dd61d9a2a3eb00958d40486f11231d50 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The Inhibitory Effect of Curcumin on Virus-Induced Cytokine Storm and Its Potential Use in the Associated Severe Pneumonia Creator An entity primarily responsible for making the resource Ying Ying, Ziteng Liu Description An account of the resource Coronavirus infection, including SARS-CoV, MERS-CoV, and SARS-CoV2, causes daunting diseases that can be fatal because of lung failure and systemic cytokine storm. The development of coronavirus-evoked pneumonia is associated with excessive inflammatory responses in the lung, known as “cytokine storms,” which results in pulmonary edema, atelectasis, and acute lung injury (ALI) or fatal acute respiratory distress syndrome (ARDS). No drugs are available to suppress overly immune response-mediated lung injury effectively. In light of the low toxicity and its antioxidant, anti-inflammatory, and antiviral activity, it is plausible to speculate that curcumin could be used as a therapeutic drug for viral pneumonia and ALI/ARDS. Therefore, in this review, we summarize the mounting evidence obtained from preclinical studies using animal models of lethal pneumonia where curcumin exerts protective effects by regulating the expression of both pro- and anti-inflammatory factors such as IL-6, IL-8, IL-10, and COX-2, promoting the apoptosis of PMN cells, and scavenging the reactive oxygen species (ROS), which exacerbates the inflammatory response. These studies provide a rationale that curcumin can be used as a therapeutic agent against pneumonia and ALI/ARDS in humans resulting from coronaviral infection. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Curcumin, Pneumonia, lung injury, coronavirus, Cytokine storm Identifier An unambiguous reference to the resource within a given context DOI: 10.3389/fcell.2020.00479 Source A related resource from which the described resource is derived Frontiers in Cell and Developmental Biology Publisher An entity responsible for making the resource available Frontiers Media S.A. Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biology (General) https://www.socictopen.socict.org/files/original/689bc1bc60c7c3ca870deb27ef53e1ad.pdf 72040adc19f34273f11cae7de5488504 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Rhabdomyolysis as Potential Late Complication Associated with COVID-19 Creator An entity primarily responsible for making the resource Ying-Chao He, Feng Chen Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource SARS, Respiratory Infections, covid-19, SARS-CoV-2, severe acute respiratory syndrome coronavirus 2, Rhabdomyolysis Identifier An unambiguous reference to the resource within a given context 10.3201/eid2609.201463 Source A related resource from which the described resource is derived Emerging Infectious Diseases Publisher An entity responsible for making the resource available Centers for Disease Control and Prevention Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine, Infectious and parasitic diseases