966 10 20655 https://www.socictopen.socict.org/files/original/14090ac0a128053b74fedf69ab270576.pdf e73494539af876705be6c06f58e3a480 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 In silico screening of potent bioactive compounds from honeybee products against COVID-19 target enzymes. Creator An entity primarily responsible for making the resource Mohamed M. Abdel-DAIM, Moataz A Shaldam, Galal Yahya, Nashwa H Mohamed, Yahya Al Naggar Description An account of the resource After the early advent of the Coronavirus Disease 2019 (COVID-19) pandemic, myriads of FDA-approved drugs have been massively repurposed for COVID-19 treatment based on molecular docking against selected protein targets that play fundamental roles in the replication cycle of the novel coronavirus. Honeybee products are well known of their nutritional values and medicinal effects. Bee products contain bioactive compounds in the form of a collection of phenolic acids, flavonoids, and terpenes of natural origin that display wide spectrum antiviral effects. We revealed by molecular docking the profound binding affinity of 14 selected phenolics and terpenes present in honey and propolis (bees glue) against the main protease (Mpro) and RNA-dependent RNA polymerase (RdRp) enzymes of the novel SARS-CoV-2 virus (the causative agent of COVID-19) using AutoDock Vina software. Of these compounds, p-coumaric acid, ellagic acid, kaempferol, and quercetin have the strongest interaction with the SARS-CoV-2 target enzymes, and it may be considered an effective COVID-19 inhibitor. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource molecular docking, covid-19, drug repurposing, Phenolic compounds, Natural products, Honeybee products Identifier An unambiguous reference to the resource within a given context 10.1007/s11356-021-14195-9 Source A related resource from which the described resource is derived Environmental science and pollution research international https://www.socictopen.socict.org/files/original/7f868b17d9c56f4ae1e532fed351271e.pdf 6e35a4b297b349daac5d19ed0b5f6449 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 Bacterial coinfections in coronavirus disease 2019. Creator An entity primarily responsible for making the resource Lars F Westblade, Matthew S Simon, Michael J Satlin Description An account of the resource Bacterial coinfections increase the severity of respiratory viral infections and were frequent causes of mortality in influenza pandemics but have not been well characterized in patients with coronavirus disease 2019 (COVID-19). The aim of this review was to identify the frequency and microbial etiologies of bacterial coinfections that are present upon admission to the hospital and that occur during hospitalization for COVID-19. We found that bacterial coinfections were present in <4% of patients upon admission and the yield of routine diagnostic tests for pneumonia was low. When bacterial coinfections did occur, Staphylococcus aureus, Streptococcus pneumoniae, and Haemophilus influenzae were the most common pathogens and atypical bacteria were rare. Although uncommon upon admission, bacterial infections frequently occurred in patients with prolonged hospitalization, and Pseudomonas aeruginosa, Klebsiella spp., and S. aureus were common pathogens. Antibacterial therapy and diagnostic testing for bacterial infections are unnecessary upon admission in most patients hospitalized with COVID-19, but clinicians should be vigilant for nosocomial bacterial infections. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource hospital-acquired infections, coronavirus disease 2019 (covid-19), severe acute respiratory syndrome coronavirus 2 (sars-cov-2), multidrug resistance (MDR), bacterial coinfection Identifier An unambiguous reference to the resource within a given context 10.1016/j.tim.2021.03.018 Source A related resource from which the described resource is derived Trends in microbiology https://www.socictopen.socict.org/files/original/25d9061488257e0709ad40d74a90321e.pdf 8e90a9c9b0c2b66713594bb2bf2b02f8 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 Coronavirus disease 2019 (COVID-19): Faith healing or science? An old-time problem. Creator An entity primarily responsible for making the resource Marios Papadakis 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 10.1017/ice.2021.198 Source A related resource from which the described resource is derived Infection control and hospital epidemiology https://www.socictopen.socict.org/files/original/ff363c07d727ee861d38a478a888a8fd.pdf 3e3bc05669ca672c6d46223804d43c40 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 Effectiveness of anaesthesia ventilator use for mechanical ventilation in critically ill patients during the COVID-19 pandemic. Creator An entity primarily responsible for making the resource Aurélie Gouel-Cheron, Yoann Elmaleh, Camille Couffignal, Elie Kantor, Simon Meslin, Anaïs Caillard, Arthur Salome, Sophie Hamada, Bernard Cholley, Alexandre Mebazaa, Dan Longrois, Jean-Louis Bourgain, Valérie Billard, Frédérique Servin, Philippe Montravers 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, acute respiratory distress syndrome, mechanical ventilation, anaesthesia ventilator, heat and moisture exchange filter Identifier An unambiguous reference to the resource within a given context 10.1016/j.bja.2021.04.001 Source A related resource from which the described resource is derived British journal of anaesthesia https://www.socictopen.socict.org/files/original/963857253c869931bad85b1886374691.pdf 98f95bf93b423d85a1e06191c3d40eff 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 sharing of research data facing the COVID-19 pandemic. Creator An entity primarily responsible for making the resource Rut Lucas-Dominguez, Adolfo Alonso-Arroyo, Antonio Vidal-Infer, Rafael Aleixandre-Benavent Description An account of the resource During the previous Ebola and Zika outbreaks, researchers shared their data, allowing many published epidemiological studies to be produced only from open research data, to speed up investigations and control of these infections. This study aims to evaluate the dissemination of the COVID-19 research data underlying scientific publications. Analysis of COVID-19 publications from December 1, 2019, to April 30, 2020, was conducted through the PubMed Central repository to evaluate the research data available through its publication as supplementary material or deposited in repositories. The PubMed Central search generated 5,905 records, of which 804 papers included complementary research data, especially as supplementary material (77.4%). The most productive journals were The New England Journal of Medicine, The Lancet and The Lancet Infectious Diseases, the most frequent keyword was pneumonia, and the most used repositories were GitHub and GenBank. An expected growth in the number of published articles following the course of the pandemics is confirmed in this work, while the underlying research data are only 13.6%. It can be deduced that data sharing is not a common practice, even in health emergencies, such as the present one. High-impact generalist journals have accounted for a large share of global publishing. The topics most often covered are related to epidemiological and public health concepts, genetics, virology and respiratory diseases, such as pneumonia. However, it is essential to interpret these data with caution following the evolution of publications and their funding in the coming months. 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, data-sharing, supplementary material, repository, PubMed central Identifier An unambiguous reference to the resource within a given context 10.1007/s11192-021-03971-6 Source A related resource from which the described resource is derived Scientometrics https://www.socictopen.socict.org/files/original/0620d2de3eabfb9f4c3e42776cb59c6c.pdf 6c8847adda77b445f2c8d90ef483cfd6 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 Wireless COVID-19 Telehealth: Leukocytes Encryption Guided by Amino Acid Matrix. Creator An entity primarily responsible for making the resource Joydeep Dey, Soumi Mukherjee Description An account of the resource In this era of wireless COVID-19 telehealth, visiting hospital for regular follow-ups could invite coronavirus in someone's body. Opting for proactive E-health services is the best thing. It helps the remote patients to share their confidential data through secured encryption. Telehealth services are emerging element in these proactive medical sciences. It helps the remote patients to share their confidential data through secured transmission. In this paper, amino acid guided matrix encoding scheme has been proposed. White blood cell count or Leukocute count is a dominant indicator of patients' health condition, even amid COVID-19. An abnormal growth in leukocyte count is mainly caused due to an infection, cancer, or any other severe symptoms. It initiates internal haematological inflammations, cardiovascular diseases, Type II diabetes, etc. Therefore, tracking leukocyte count may for disease diagnosis and further treatments. The leukocyte count is generally done in different pathologies, and the data evaluation needs the expertise of a pathologist. In this paper, a technique involving security measures to transmit the result of the histological test with the help of cryptography has been proposed. The data to be transferred to the concerned physician for further diagnosis with the help of proposed way of encryption using amino acids, which ensures no data loss, no data modification, no data theft in the middle of transmission. The proposed encryption method using the amino acid codes has produced results showing satisfactory performances such as p-values found to be 7.215544e-04 and 8.48904e-03 for the key stream and cipher key matrix monobit test respectively, and 8.10245e-04 and 8.10245e-04 for the key stream and cipher key matrix frequency test respectively. It may be used as a transmission module in any wireless COVID-19 Telehealth Systems. 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, electronic health, Leukocyte count, Isosceles triangle encryption Identifier An unambiguous reference to the resource within a given context 10.1007/s11277-021-08534-9 Source A related resource from which the described resource is derived Wireless personal communications https://www.socictopen.socict.org/files/original/a66a8d3659599faccdb75b9bda1acf28.pdf 20eec41889543235bd9de44e4d8691ad 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 Contamination fear in the time of the COVID-19 pandemic: A moderated mediation quasi-experimental model of the effect of disgust on outgroup bias towards diaspora. Creator An entity primarily responsible for making the resource Andreea I Luca, Ioana R Podina, Rareș Boian Description An account of the resource Disgust sensitivity plays a key role in generating and maintaining outgroup biases. To test our hypotheses, we used a quasi-experimental between-subjects design, in which participants were randomly assigned to a disgust induction condition (N = 102) or a non-induction neutral group (N = 92). The induction scenario featured the return of the diaspora to their home country due to COVID-19 concerns. In one scenario, the diaspora lied about the country they arrived from, and in the other, there was no moral transgression. We hypothesized that the effect of disgust sensitivity on dehumanization and aggressive tendencies passed through contamination fear and the moderated mediation model indicated that this indirect effect was stronger for participants in the disgust-induction than in the non-induction group. This effect was found for biological dehumanization and passive aggression outcomes, both related to outgroup bias. Consistent with the role of disgust as a disease-avoidance mechanism, our results suggest that disgust could facilitate stronger outgroup bias in the context of a high health threat, such as the COVID-19 pandemic. 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, , dehumanization, aggression, Disgust sensitivity, Moral disgust Identifier An unambiguous reference to the resource within a given context 10.1007/s12144-021-01775-8 Source A related resource from which the described resource is derived Current psychology (New Brunswick, N.J.) https://www.socictopen.socict.org/files/original/058c7104cc18721f9b0c046c9cd4a2c1.pdf 87df7f704cb8d231948f5f41767e8e97 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 Application of Artificial Neural Network for Internal Combustion Engines: A State of the Art Review. Creator An entity primarily responsible for making the resource Aditya Narayan Bhatt, Nitin Shrivastava Description An account of the resource The automotive industry is facing a crucial time. The transformation from internal combustion engines to new electrical technologies requires enormous investment, and hence the IC engines are likely to serve as a means of transportation for the coming decades. The search for sustainable green alternative fuel and operating parameter optimization is a current feasible solution and is a critical issue among the scientific community. Engine experiments are complicated, costly, and time-consuming, especially when the global economy is drastically down due to the COVID-19 pandemic and putting the limitation of social distancing. Industries are looking for proven computational solutions to address these issues. Recently, artificial neural network has been proven beneficial in several areas of engineering to reduce the time and experimentation cost. The IC engine is one of them. ANN has been used to predict and analyze different characteristics such as performance, combustion, and emissions of the IC engine to save time and energy. The complex nature of ANN may lead to computation time, energy, and space. Recent studies are centered on changing the network topology, deep learning, and design of ANN to get the highest performance. The present study summarizes the application of ANN to predict and optimize the complicated characteristics of various types of engines with different fuels. The study aims to investigate the network topologies adopted to design the model and thereafter statistical evaluation of the developed ANN models. A comparison of the ANN model with other prediction models is also presented. 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 10.1007/s11831-021-09596-5 Source A related resource from which the described resource is derived Archives of computational methods in engineering : state of the art reviews https://www.socictopen.socict.org/files/original/eb21ae812e18c3d690950b4b2487b37e.pdf 4e3a3d02a8418f16453cb38b078f2f36 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 Pediatric Vaccine Hesitancy and the Utilization of Antibody Measurements: A Novel Strategy with Implications for COVID 19. Creator An entity primarily responsible for making the resource Amrita Dosanjh Description An account of the resource Vaccine hesitancy is a well researched area with implications for both public health and the health of children and their families The factors leading to vaccine hesitancy are often complex and involve fear of the healthcare system and the process of vaccine development, cultural viewpoints and experiences. Pediatric patients often rely on parental guidance and decision making, and this may result in a lack of immunization for some children. The availability of the COVID 19 vaccine has been widely anticipated, yet not all individuals will seek the vaccine. Once vaccines are available for children under the age of 16 years, this long-standing pediatric management issue may again emerge and impact public health. The clinical trial efficacy and safety data for children and adolescents less than 16 years of age are not yet available. A traditional approach is to discuss the concerns of the parent in relationship to presentation and review of American Association of Pediatrics (AAP) and CDC guidelines in the framework of medical and scientific explanations. This includes the presentation of efficacy and safety data. Therefore, the use of lab-based antibody testing adds scientific evidence and emphasizes the need for vaccination against SARS CoV-2 and other pathogens. The purpose of this commentary is to propose lab-based testing as a potential adjunctive strategy in addressing this public health concern. Further study of a pediatric population is required to assess the impact of the selective use of lab-based testing in improving vaccination rates among a pediatric population. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource vaccine, antibody, Immunization Identifier An unambiguous reference to the resource within a given context 10.2147/JAA.S303309 Source A related resource from which the described resource is derived Journal of asthma and allergy https://www.socictopen.socict.org/files/original/ed912f6f95dc43c93f846098a0595182.pdf 0768e6dd38d4fd9dea79f865fb2c6053 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 Emergency remote learning during COVID-19 crisis: Students' engagement. Creator An entity primarily responsible for making the resource Soheil Salha, Zuheir N Khlaif, Bochra Kouraichi Description An account of the resource Student engagement in online learning enhance students performance and the outcomes of the learning process in online learning environment. The existed literature revealed various factors influencing student engagement in online leaning, however these studies were before the COVID-19 crisis. The purpose of the current paper is to explore the factors that influence student engagement in online learning during the COVID-19 crisis in middle school settings in developing countries where is a lack of studies about the factors influencing student's engagement in emergency remote learning during the crisis. A qualitative approach was used for data collection and analysis. Semi-structured interviews with 34 participants (14 students, 13 teachers, and 7 parents) were conducted for 20-30 min. Furthermore, online class observations were used for data collection; 13 online classes were observed. Each class was 40 min. A thematic analysis was used to categorize the findings into themes and subthemes. The findings of the study revealed that various factors influence student engagement in online learning during the crisis including infrastructure factors, cultural factors, digital inequality, and the threat to digital privacy. Cultural factors were the important factor that influences females because of parents' culture and their bias against females using online learning compared to male students. Teachers' presence and quality of content were the major factors that influence student engagement, where parental concerns, norms, and traditions emerged as the major factors in the crisis, influencing engagement. Most of the participants reported that teaching and learning online during the crisis has broadened the digital inequality and threatened their digital privacy which influenced negatively student engagement. The limitations of this research included the limited number of participants covering a large geographic area, and the research design using diverse and often limited educational software and delivery methods. Future studies could utilize a mixed-method approach and include more participants. The online version contains supplementary material available at 10.1007/s10639-021-10566-4. 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, online learning, remote learning, emergency remote teaching, ICT-based teaching Identifier An unambiguous reference to the resource within a given context 10.1007/s10639-021-10566-4 Source A related resource from which the described resource is derived Education and information technologies