741 10 20655 https://www.socictopen.socict.org/files/original/01e35481ce153fcae5cdcef419aa9f31.pdf b4764dba6b0237956179d1ddf19661d6 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 COVID-19 and Alzheimer’s disease: how one crisis worsens the other Creator An entity primarily responsible for making the resource Xiaohuan Xia, Yi Wang, Jialin Zheng Description An account of the resource Abstract Alzheimer’s disease (AD) has emerged as a key comorbidity of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). The morbidity and mortality of COVID-19 are elevated in AD due to multiple pathological changes in AD patients such as the excessive expression of viral receptor angiotensin converting enzyme 2 and pro-inflammatory molecules, various AD complications including diabetes, lifestyle alterations in AD, and drug-drug interactions. Meanwhile, COVID-19 has also been reported to cause various neurologic symptoms including cognitive impairment that may ultimately result in AD, probably through the invasion of SARS-CoV-2 into the central nervous system, COVID-19-induced inflammation, long-term hospitalization and delirium, and post-COVID-19 syndrome. In addition, the COVID-19 crisis also worsens behavioral symptoms in uninfected AD patients and poses new challenges for AD prevention. In this review, we first introduce the symptoms and pathogenesis of COVID-19 and AD. Next, we provide a comprehensive discussion on the aggravating effects of AD on COVID-19 and the underlying mechanisms from molecular to social levels. We also highlight the influence of COVID-19 on cognitive function, and propose possible routes of viral invasion into the brain and potential mechanisms underlying the COVID-19-induced cognitive impairment. Last, we summarize the negative impacts of COVID-19 pandemic on uninfected AD patients and dementia prevention. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource inflammation, central nervous system, covid-19, SARS-CoV-2, Alzheimer’s disease, cognitive impairment Identifier An unambiguous reference to the resource within a given context 10.1186/s40035-021-00237-2 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 Neurology. Diseases of the nervous system https://www.socictopen.socict.org/files/original/2abf41cd688148d9f5908d1036668f67.pdf b4105b42c3aaa9aab8ac6a133e76b5aa 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 Gynecologic oncology treatment modifications or delays in response to the COVID-19 pandemic in a publicly funded versus privately funded North American tertiary cancer center. Creator An entity primarily responsible for making the resource Sabrina Piedimonte, Sue Li, Stephane Laframboise, Sarah E Ferguson, Marcus Q Bernardini, Genevieve Bouchard-Fortier, Liat Hogen, Paulina Cybulska, Michael J Worley, Taymaa May Description An account of the resource To compare gynecologic oncology surgical treatment modifications and delays during the first wave of the COVID-19 pandemic between a publicly funded Canadian versus a privately funded American cancer center. This is a retrospective cohort study of all planned gynecologic oncology surgeries at University Health Network (UHN) in Toronto, Canada and Brigham and Women's Hospital (BWH) in Boston, USA, between March 22,020 and July 302,020. Surgical treatment delays and modifications at both centers were compared to standard recommendations. Multivariable logistic regression was performed to adjust for confounders. A total of 450 surgical gynecologic oncology patients were included; 215 at UHN and 235 at BWH. There was a significant difference in median time from decision-to-treat to treatment (23 vs 15 days, p < 0.01) between UHN and BWH and a significant difference in treatment delays (32.56% vs 18.29%; p < 0.01) and modifications (8.37% vs 0.85%; p < 0.01), respectively. On multivariable analysis adjusting for age, race, treatment site and surgical priority status, treatment at UHN was an independent predictor of treatment modification (OR = 9.43,95% CI 1.81-49.05, p < 0.01). Treatment delays were higher at UHN (OR = 1.96,95% CI 1.14-3.36 p = 0.03) and for uterine disease (OR = 2.43, 95% CI 1.11-5.33, p = 0.03). During the first wave of COVID-19 pandemic, gynecologic oncology patients treated at a publicly funded Canadian center were 9.43 times more likely to have a surgical treatment modification and 1.96 times more likely to have a surgical delay compared to an equal volume privately funded center in the United States. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, Pandemic, gynecologic oncology, Treatment delays cancer surgery, Volume reductions Identifier An unambiguous reference to the resource within a given context 10.1016/j.ygyno.2021.04.030 Source A related resource from which the described resource is derived Gynecologic oncology https://www.socictopen.socict.org/files/original/fc016ad04fcebf652fcac5f09321d5c1.pdf df6ac7a81cb7d44f5f8cf551b2e620ff 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 Reversed-engineered human alveolar lung-on-a-chip model. Creator An entity primarily responsible for making the resource Di Huang, Tingting Liu, Junlong Liao, Sushila Maharjan, Xin Xie, Montserrat Pérez, Ingrid Anaya, Shiwei Wang, Alan Tirado Mayer, Zhixin Kang, Weijia Kong, Valerio Luca Mainardi, Carlos Ezio Garciamendez-Mijares, Germán García Martínez, Matteo Moretti, Weijia Zhang, Zhongze Gu, Amir M Ghaemmaghami, Yu Shrike Zhang Description An account of the resource Here, we present a physiologically relevant model of the human pulmonary alveoli. This alveolar lung-on-a-chip platform is composed of a three-dimensional porous hydrogel made of gelatin methacryloyl with an inverse opal structure, bonded to a compartmentalized polydimethylsiloxane chip. The inverse opal hydrogel structure features well-defined, interconnected pores with high similarity to human alveolar sacs. By populating the sacs with primary human alveolar epithelial cells, functional epithelial monolayers are readily formed. Cyclic strain is integrated into the device to allow biomimetic breathing events of the alveolar lung, which, in addition, makes it possible to investigate pathological effects such as those incurred by cigarette smoking and severe acute respiratory syndrome coronavirus 2 pseudoviral infection. Our study demonstrates a unique method for reconstitution of the functional human pulmonary alveoli in vitro, which is anticipated to pave the way for investigating relevant physiological and pathological events in the human distal lung. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource alveoli, lung-on-a-chip, distal lung, inverse opal, three-dimensional Identifier An unambiguous reference to the resource within a given context 10.1073/pnas.2016146118 Source A related resource from which the described resource is derived Proceedings of the National Academy of Sciences of the United States of America https://www.socictopen.socict.org/files/original/25385eaa439af7058bd1bf1717e5f852.pdf 828594e71fe067b7d3fc30f86694d685 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 A numerical assessment of social distancing of preventing airborne transmission of COVID-19 during different breathing and coughing processes Creator An entity primarily responsible for making the resource Alibek Issakhov, Yeldos Zhandaulet, Perizat Omarova, Aidana Alimbek, Aliya Borsikbayeva, Ardak Mustafayeva Description An account of the resource Abstract The spread of the novel coronavirus disease (COVID-19) continues to show that geographic barriers alone cannot contain the virus. Asymptomatic carriers play a critical role in the nature of this virus, which is rapidly escalating into a global pandemic. Asymptomatic carriers can inadvertently transmit the virus through the air stream. Many diseases can infect human bodies with tiny droplets or particles that carry various viruses and bacteria that are generated by the respiratory system of infected patients. This article presents the numerical results of the spread of droplets or particles in a room. The proposed numerical model in this work takes into account the sedimentation of particles or droplets under the action of gravitational sedimentation and transport in the room during the process of breathing and sneezing or coughing. Three different cases are numerically investigated taking into account normal breathing and coughing or sneezing, respectively, and three different rates of particle ejection from the mouth are considered. Navier–Stokes equations for incompressible flows were used to describe three-dimensional air flow inside ventilated rooms. The influence of ventilation rate on social distancing is also computationally investigated. It was found that particles can move up to 5 m with a decrease in concentration in the direction of the air flow. The conclusions made in this work show that, given the environmental conditions, the two meter social distance recommended by WHO is insufficient. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1038/s41598-021-88645-2 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 Science, Medicine https://www.socictopen.socict.org/files/original/b0956083bad9be987e224789675bd2ef.pdf 6e4cb82d06cf440b975ce32c97db9b64 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 Parents’ Views on Family Resiliency in Sustainable Remote Schooling during the COVID-19 Outbreak in Finland Creator An entity primarily responsible for making the resource Kaisa Pihlainen, Teija Koskela, Satu Piispa-Hakala, Riitta Vornanen, Juha Hämäläinen Description An account of the resource The closure of schools because of the COVID-19 pandemic created a challenge for families and teachers in supporting children’s remote schooling. This study investigates parents’ perspectives on their accommodation to the rapid change to remote schooling from the point of view of sustainable education. The study was conducted at the beginning of the COVID-19 pandemic in spring 2020 via an online questionnaire for parents, to which 316 voluntary participants responded. Data were analyzed using a theory-driven content analysis. According to the results, parents were worried about the learning and wellbeing of their children as well as management of daily life and use of information and communications technology (ICT). The results show the importance of schools and teachers as well as networks in supporting family resilience during rapid changes. Families’ individual needs should be acknowledged and met in a sustainable way to support children’s learning in changing settings, including remote schooling. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource resilience, covid-19 pandemic, parents, sustainable society, inclusive education, remote schooling Identifier An unambiguous reference to the resource within a given context 10.3390/su12218844 Source A related resource from which the described resource is derived Biotemas Publisher An entity responsible for making the resource available Universidade Federal de Santa Catarina Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Environmental effects of industries and plants, Renewable energy sources, Environmental sciences https://www.socictopen.socict.org/files/original/824a80ceaa69654cf9b4317074ec74bc.pdf 83aa7290f6bc89f39995644984bc82e3 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 News Sentiment Informed Time-series Analyzing AI (SITALA) to curb the spread of COVID-19 in Houston. Creator An entity primarily responsible for making the resource Prathamesh S Desai Description An account of the resource Coronavirus disease (COVID-19) has evolved into a pandemic with many unknowns. Houston, located in the Harris County of Texas, is becoming the next hotspot of this pandemic. With a severe decline in international and inter-state travel, a model at the county level is needed as opposed to the state or country level. Existing approaches have a few drawbacks. Firstly, the data used is the number of COVID-19 positive cases instead of positivity. The former is a function of the number of tests carried out while the number of tests normalizes the latter. Positivity gives a better picture of the spread of this pandemic as, with time, more tests are being administered. Positivity under 5% has been desired for the reopening of businesses to almost 100% capacity. Secondly, the data used by models like SEIRD (Susceptible, Exposed, Infectious, Recovered, and Deceased) lacks information about the sentiment of people concerning coronavirus. Thirdly, models that make use of social media posts might have too much noise and misinformation. On the other hand, news sentiment can capture long-term effects of hidden variables like public policy, opinions of local doctors, and disobedience of state-wide mandates. The present study introduces a new artificial intelligence (i.e., AI) model, viz., Sentiment Informed Time-series Analyzing AI (SITALA), trained on COVID-19 test positivity data and news sentiment from over 2750 news articles for Harris county. The news sentiment was obtained using IBM Watson Discovery News. SITALA is inspired by Google-Wavenet architecture and makes use of TensorFlow. The mean absolute error for the training dataset of 66 consecutive days is 2.76, and that for the test dataset of 22 consecutive days is 9.6. A cone of uncertainty is provided within which future COVID-19 test positivity has been shown to fall with high accuracy. The model predictions fare better than a published Bayesian-based SEIRD model. The model forecasts that in order to curb the spread of coronavirus in Houston, a sustained negative news sentiment (e.g., death count for COVID-19 will grow at an alarming rate in Houston if mask orders are not followed) will be desirable. Public policymakers may use SITALA to set the tone of the local policies and mandates. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource artificial intelligence, deep learning, Public Policy, News sentiment, COVID-19 model, Pandemic forecast Identifier An unambiguous reference to the resource within a given context 10.1016/j.eswa.2021.115104 Source A related resource from which the described resource is derived Expert systems with applications https://www.socictopen.socict.org/files/original/d8b9ca764b1ccb0704f01f057c0a09be.pdf 85fcb6c0d4c03809344b03e79d517b84 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 Cosa ci attende? Note sulla gestione della cultura e sullo sviluppo a base culturale dopo la pandemia/Cultural management and culture-driven development in the wake of a global pandemic. Preliminary reflections Creator An entity primarily responsible for making the resource Stefano Baia Curioni, Stefania Gerevini Description An account of the resource L’articolo propone una riflessione sugli effetti, attuali e prospettici, della pandemia di Covid-19 sulle istituzioni e il patrimonio culturale in Italia. La prima parte introduce il contesto istituzionale delle organizzazioni culturali e del patrimonio nel paese, sintetizzando le principali sfide per il settore prima della pandemia. La seconda parte, delineando l’ulteriore complessità culturale, gestionale e organizzativa generata dalla diffusione del Covid-19, contiene alcune suggestioni preliminari rivolte alle istituzioni della cultura e del patrimonio per affrontare l’attuale crisi, coltivando una cultura della presenza –sia internamente che con gli stakeholders esterni– e impegnandosi per guadagnare un ruolo più incisivo come istituzioni per lo sviluppo civile dei territori. This article reflects on how the ongoing Covid-19 pandemic has affected (and may continue to affect) cultural and heritage institutions in Italy. The first section introduces the institutional framework of cultural and heritage organizations in the country, and recapitulates the main challenges that the sector faced prior to the outbreak of Covid-19. The second section explores how the pandemic has further added to the cultural, managerial, and organizational complexity of these institutions. It also makes some preliminary suggestions as to how cultural and heritage institutions may address the ongoing crisis, by nurturing a culture of praesentia both internally and with external stakeholders, and by striving to gain a more prominent role as ‘civil’ institutions. 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 10.13138/2039-2362/2574 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 Auxiliary sciences of history, Arts in general https://www.socictopen.socict.org/files/original/3e353af98014354e2fb76cb55dd0a666.pdf 5d918445a8cfe604de12e1f6f9f8a81f 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 Impact of the COVID-19 Lockdown on the Electricity System of Great Britain: A Study on Energy Demand, Generation, Pricing and Grid Stability Creator An entity primarily responsible for making the resource Aristides Kiprakis, Desen Kirli, Maximilian Parzen Description An account of the resource The outbreak of SARS-COV-2 disease 2019 (COVID-19) abruptly changed the patterns in electricity consumption, challenging the system operations of forecasting and balancing supply and demand. This is mainly due to the mitigation measures that include lockdown and work from home (WFH), which decreased the aggregated demand and remarkably altered its profile. Here, we characterise these changes with various quantitative markers and compare it with pre-lockdown business-as-usual data using Great Britain (GB) as a case study. The ripple effects on the generation portfolio, system frequency, forecasting accuracy and imbalance pricing are also analysed. An energy data extraction and pre-processing pipeline that can be used in a variety of similar studies is also presented. Analysis of the GB demand data during the March 2020 lockdown indicates that a shift to WFH will result in a net benefit for flexible stakeholders, such as consumers on variable tariffs. Furthermore, the analysis illustrates a need for faster and more frequent balancing actions, as a result of the increased share of renewable energy in the generation mix. This new equilibrium of energy demand and supply will require a redesign of the existing balancing mechanisms as well as the longer-term power system planning strategies. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, demand, Energy, behaviour, Electricity demand, electricity system Identifier An unambiguous reference to the resource within a given context 10.3390/en14030635 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 Technology https://www.socictopen.socict.org/files/original/72419f77ddf7ac49d4ea4e8541247c8e.pdf 819f0589531790a88ee478b6f28a211d 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 Student: A Neglected Element in Facing the Challenges of Medical Education during the COVID-19 Era Creator An entity primarily responsible for making the resource Habibeh Ahmadipour Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, medical students, Medical education, Educational communication, online educations Identifier An unambiguous reference to the resource within a given context 10.22062/sdme.2020.194951 Source A related resource from which the described resource is derived Strides in Development of Medical Education Publisher An entity responsible for making the resource available Kerman University of Medical Sciences Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Education https://www.socictopen.socict.org/files/original/90ad89e8fabe4a8afc6b5f33da4cd484.pdf c5714bcaf04cfcad372f10c2788814e4 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 Need to Set up an Online Archive System to Store Educational Materials and Information Related to COVID -19 Pandemic Creator An entity primarily responsible for making the resource Meisam Dastani Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19 pandemic, archive, Online System, Educational Materials Identifier An unambiguous reference to the resource within a given context 10.22062/sdme.2020.91345 Source A related resource from which the described resource is derived Strides in Development of Medical Education Publisher An entity responsible for making the resource available Kerman University of Medical Sciences Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Education