210 10 20655 https://www.socictopen.socict.org/files/original/2dce45be84f8d2126267fd3edf5f0122.pdf 75f39e5b49655de1b2c3a6cbb2e13a46 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 Application Empreenda Agro Sustentável: driving tool for entrepreneurial behavior Creator An entity primarily responsible for making the resource Luiz Diego Vidal Santos, Francisco Sandro Rodrigues Holanda, Arilmara Abade Bandeira, Catuxe Varjão de Olivera, Maraiza de Santana Santos, Alceu Pedrotti Description An account of the resource Being an entrepreneur does not just mean having your own business, entrepreneurship is linked to individual actions and capabilities, that is, having entrepreneurial characteristics is being able to create, modulate and sustain innovative ideas globally. To assist entrepreneurial activities in the agrarian sciences, this work developed a portable application, accessible and usable by academics of agrarian sciences, professionals in related areas and rural producers in order to provide educational guidance in sustainable entrepreneurship, thus becoming a tool directed to entrepreneurial education. The application was developed in the Kotlin language, in the Android Studio 3.4.1 programming environment and Android operating system. The application development process included: (1) selection of the educational content transfer strategy; (2) involvement of users participating in the program; (3) participation of specialized consultants; (4) creation and conversion of content in an Android smartphone application; and (5) usability tests of the prototype version of the application during an extension program. The proposed objective was achieved, as the authors were able to successfully develop a tool for educational support for the teaching of entrepreneurship which is already registered with the National Institute of Industrial Property INPI, number BR 51 2019 002657 8, and is available for use mobile. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource Programa de extensão, Software, android, aplicativo móvel, inovação educacional Source A related resource from which the described resource is derived Revista Eletrônica Competências Digitais para Agricultura Familiar Publisher An entity responsible for making the resource available Universidade Estadual Paulista Júlio de Mesquita Filho Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Agriculture (General) Relation A related resource <a href="https://owl.tupa.unesp.br/recodaf/index.php/recodaf/article/view/125" target="_blank" rel="noreferrer noopener">https://owl.tupa.unesp.br/recodaf/index.php/recodaf/article/view/125</a> https://www.socictopen.socict.org/files/original/917f877b764e78701c89efcf0b9bac35.pdf 906bf40f482b6f335838555487da51ab 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 a Gray-Based Decision Support Framework for Location Selection of a Temporary Hospital during COVID-19 Pandemic Creator An entity primarily responsible for making the resource Sarfaraz Hashemkhani Zolfani, Morteza Yazdani, Ali Ebadi Torkayesh, Arman Derakhti Description An account of the resource The hospital location selection problem is one of the most important decisions in the healthcare sector in big cities due to population growth and the possibility of a high number of daily referred patients. A poor location selection process can lead to many issues for the health workforce and patients, and it can result in many unnecessary costs for the healthcare systems. The COVID-19 outbreak had a noticeable effect on people’s lives and the service quality of hospitals during recent months. The hospital location selection problem for infected patients with COVID-19 turned out to be one of the most significant and complicated decisions with many uncertain involved parameters for healthcare sectors in countries with high cases. In this study, a gray-based decision support framework using criteria importance through inter-criteria correlation (CRITIC) and combined compromise solution (CoCoSo) methods is proposed for location selection of a temporary hospital for COVID-19 patients. A case study is performed for Istanbul using the proposed decision-making framework. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Location selection, COVID-19, criteria importance through inter-criteria correlation (CRITIC), combined compromise solution (CoCoSo), gray values, temporary hospital Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/sym12060886 Source A related resource from which the described resource is derived Symmetry 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 Mathematics https://www.socictopen.socict.org/files/original/dda378bd3359684311c86c271e55e9c5.pdf 906bf40f482b6f335838555487da51ab 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 a Gray-Based Decision Support Framework for Location Selection of a Temporary Hospital during COVID-19 Pandemic Creator An entity primarily responsible for making the resource Sarfaraz Hashemkhani Zolfani, Morteza Yazdani, Ali Ebadi Torkayesh, Arman Derakhti Description An account of the resource The hospital location selection problem is one of the most important decisions in the healthcare sector in big cities due to population growth and the possibility of a high number of daily referred patients. A poor location selection process can lead to many issues for the health workforce and patients, and it can result in many unnecessary costs for the healthcare systems. The COVID-19 outbreak had a noticeable effect on people’s lives and the service quality of hospitals during recent months. The hospital location selection problem for infected patients with COVID-19 turned out to be one of the most significant and complicated decisions with many uncertain involved parameters for healthcare sectors in countries with high cases. In this study, a gray-based decision support framework using criteria importance through inter-criteria correlation (CRITIC) and combined compromise solution (CoCoSo) methods is proposed for location selection of a temporary hospital for COVID-19 patients. A case study is performed for Istanbul using the proposed decision-making framework. 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, location selection, criteria importance through inter-criteria correlation (CRITIC), combined compromise solution (CoCoSo), gray values, temporary hospital Identifier An unambiguous reference to the resource within a given context 10.3390/sym12060886 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 Mathematics https://www.socictopen.socict.org/files/original/3b6201fd05ef96aec8fc2ceeaf11b51a.pdf f8b3c37e2ced07fb927923d260794d37 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 Antiviral Polyoxometalates to Living Environments—Antiviral Moist Hand Towels and Stationery Items Creator An entity primarily responsible for making the resource Katsuaki Dan, Katsuyuki Fujinami, Hajime Sumitomo, Yasuaki Ogiwara, Shigehiko Suhara, Yoshiharu Konno, Mitsuhiro Sawada, Yusuke Soga, Atsushi Takada, Keita Takanashi, Kenji Watanabe, Tatsuo Shinozuka Description An account of the resource Safe, secure, and environmentally friendly active substances should be developed. VB (virus block) refers to an antibacterial/antiviral mixture of two kinds of polyoxometalates (PMs), i.e., K11H[(VO)3(SbW9O33)2]·27H2O (VB2) and α-Na2[SbW9O33]9− (VB3), and polyhexamethylene biguanide (PHMB). VB was demonstrated to exert antiviral effects on cultured cells. The effects were maintained even in hygiene products or solids. The antiviral effects were analyzed by reverse transcription–polymerase chain reaction (RT–PCR), and the results were correlated with TCID50, potentially eliminating the need for handling infectious viruses. VB was demonstrated to be extremely effective (up to 99.99% inhibition) in cultured cells, with antibacterial/antiviral effects maintained in VB-containing hygiene products. VB was applied to solids, demonstrating their high applicability and versatility. VB withstands high temperatures regardless of materials because its effects are enhanced by more frequent contact with viruses and bacteria due to the increased surface area of the compound. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource Influenza Virus, SARS-CoV-2, MRSA, Norovirus, polyoxometalate, <i>Bacillus cereus</i> Identifier An unambiguous reference to the resource within a given context 10.3390/app10228246 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 Biology (General), Chemistry, Engineering (General). Civil engineering (General), Technology, Physics https://www.socictopen.socict.org/files/original/be3c6dc695f06c6880f48e4627299d82.pdf 754f464309fb9966faa39aeb9148144d 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 Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review Creator An entity primarily responsible for making the resource Ivan Lorencin, Nikola Anđelić, Tomislav Ćabov, Sandi Baressi Šegota, Anđela Blagojević, Tijana Šušteršić, Nenad Filipović, Jelena Musulin, Daniel Štifanić, Elitza Markova-Car Description An account of the resource COVID-19 is one of the greatest challenges humanity has faced recently, forcing a change in the daily lives of billions of people worldwide. Therefore, many efforts have been made by researchers across the globe in the attempt of determining the models of COVID-19 spread. The objectives of this review are to analyze some of the open-access datasets mostly used in research in the field of COVID-19 regression modeling as well as present current literature based on Artificial Intelligence (AI) methods for regression tasks, like disease spread. Moreover, we discuss the applicability of Machine Learning (ML) and Evolutionary Computing (EC) methods that have focused on regressing epidemiology curves of COVID-19, and provide an overview of the usefulness of existing models in specific areas. An electronic literature search of the various databases was conducted to develop a comprehensive review of the latest AI-based approaches for modeling the spread of COVID-19. Finally, a conclusion is drawn from the observation of reviewed papers that AI-based algorithms have a clear application in COVID-19 epidemiological spread modeling and may be a crucial tool in the combat against coming pandemics. 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, open access data, AI-based methods, spread modeling Identifier An unambiguous reference to the resource within a given context 10.3390/ijerph18084287 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 Medicine 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/49b1bfc53904fddef192b08fb67c8f5a.pdf 38f08e35abe8488d3022e19a92e37705 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 embedded computer and improved genetic algorithm in the strategy of community of human destiny: the development of artificial intelligence in the context of Covid-19. Creator An entity primarily responsible for making the resource Yaoyao Liu, Yixin Zhang, Xiaoya Liu Description An account of the resource Through the COVID-19 epidemic in 2020, the society has deeply realized the inevitability and necessity of building a community that shares the future of mankind. In the face of severely complex international trends and domestic and international economic conditions, artificial intelligence plays an important auxiliary role in the regular prevention and management of COVID-19. In order to effectively correspond to the formalized extensional prevention and control theory, it is essential to use coordination models, rule systems, prevention and control mechanisms, and governance landscapes to build artificial intelligence corresponding systems. This article uses a basic genetic algorithm to realize the robot path plan. This mainly includes the establishment of environmental models, the discovery of chromosomes and the determination of coding methods, the selection and design of fitness functions, and related designs. This paper proposes a new adaptive adjustment mode based on the basic genetic algorithm, which improves the selection and mutation operation, and improves the optimization efficiency of the genetic algorithm. Building an artificial intelligence response system may face various technical risks and governance dilemmas. Only by improving the rule system of artificial intelligence, creating an epidemic prevention and control ecology, conserving the public spirit of the whole people, strengthening the governance of the source of crisis, and further improving the new momentum of economic and social development and public safety. The modernization of governance capabilities can better respond to the current complex situation. 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, Artificial intelligence development, Embedded computer, Improved genetic algorithm Identifier An unambiguous reference to the resource within a given context 10.1007/s12652-021-03218-5 Source A related resource from which the described resource is derived Journal of ambient intelligence and humanized computing https://www.socictopen.socict.org/files/original/e070b99208249698a5e2408e53d7e53c.pdf cf08736aaef04615b6e39be0668f0db0 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 Geographic Information System in Monitoring and Detecting the COVID-19 Outbreak Creator An entity primarily responsible for making the resource Mehdi REZAEI, Abbas Ali NOURI, Gyun Seok PARK, Doo Hwan KIM Description An account of the resource No Abstract 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 10.18502/ijph.v49iS1.3679 Source A related resource from which the described resource is derived Iranian Journal of Public Health Publisher An entity responsible for making the resource available Tehran 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 Public aspects of medicine https://www.socictopen.socict.org/files/original/0e72f9b452c7cd3b8c7b5e78323c3414.pdf 999a64c70d20b0ad3ff211b2bbab54cd 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 Lateral Transshipment in Cost Reduction of Decentralized Systems Creator An entity primarily responsible for making the resource Jun Li, Ying Li, Yi Liao, Wen-Jing Shen, Xinxin Hu Description An account of the resource COVID-19 has exposed the global supply chains to great vulnerability. In such extreme circumstances, product availability becomes a primary concern. This paper studies a basic inventory management strategy—lateral transshipment—under decentralized systems, which may play an important role in dealing with stockouts during unexpected crises. Lateral transshipments not only react quickly to stockout, but are also environmentally friendly due to the significant reduction of production and transportation pollution. This paper studies optimal lateral transshipment and replenishment decisions under a decentralized setting. We construct a multi-stage stochastic model that captures demand uncertainty and customer switching behavior. We demonstrate that, similar to the centralized setting, the optimal transshipment decision follows a double-threshold structure. The optimal replenishment quantities are determined under two pricing mechanisms—individual mechanism (IP) and negotiated mechanism (NP). Numerical examples are provided to demonstrate the impact of lateral transshipment on supply chain cost reduction. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource sustainability, Supply Chain Management, Lateral transshipment, random switching Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/su12125081 Source A related resource from which the described resource is derived Sustainability 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 Environmental sciences, Renewable energy sources, Environmental effects of industries and plants https://www.socictopen.socict.org/files/original/4cbff18b28fb3b86f8637368303db9ae.pdf 999a64c70d20b0ad3ff211b2bbab54cd 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 Lateral Transshipment in Cost Reduction of Decentralized Systems Creator An entity primarily responsible for making the resource Wenjing Shen, Yi Liao, Jun Li, Xinxin Hu, Ying Li Description An account of the resource COVID-19 has exposed the global supply chains to great vulnerability. In such extreme circumstances, product availability becomes a primary concern. This paper studies a basic inventory management strategy—lateral transshipment—under decentralized systems, which may play an important role in dealing with stockouts during unexpected crises. Lateral transshipments not only react quickly to stockout, but are also environmentally friendly due to the significant reduction of production and transportation pollution. This paper studies optimal lateral transshipment and replenishment decisions under a decentralized setting. We construct a multi-stage stochastic model that captures demand uncertainty and customer switching behavior. We demonstrate that, similar to the centralized setting, the optimal transshipment decision follows a double-threshold structure. The optimal replenishment quantities are determined under two pricing mechanisms—individual mechanism (IP) and negotiated mechanism (NP). Numerical examples are provided to demonstrate the impact of lateral transshipment on supply chain cost reduction. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource sustainability, Supply Chain Management, Lateral transshipment, random switching Identifier An unambiguous reference to the resource within a given context 10.3390/su12125081 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