Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics最新文献_第6页

Effective immunization scenarios by vaccination against COVID-19 obtained through Bayesian analysis 通过贝叶斯分析获得COVID-19疫苗接种的有效免疫情景

Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics Pub Date : 2021-12-01 DOI: 10.29327/232092.1.2-4

H. F. S. Freitas, P. H. Soares, C. M. Andrade

{"title":"Effective immunization scenarios by vaccination against COVID-19 obtained through Bayesian analysis","authors":"H. F. S. Freitas, P. H. Soares, C. M. Andrade","doi":"10.29327/232092.1.2-4","DOIUrl":"https://doi.org/10.29327/232092.1.2-4","url":null,"abstract":": The COVID-19 pandemic caused a health crisis on an unprecedented scale, due to the unstoppable spread of the disease through the global integration provided by the current strongly globalized society. Isolation policies recommended by WHO impacted countries economies, making it necessary to implement a range of economic, health, social and economic security policies, such as: financial aid packages for the population and companies, investment of resources for the structuring of hospital beds for the treatment of patients, implementation of population testing programs, among others. The impact of the pandemic proved to be quite significant especially for the so-called \"developing countries\", due to the difficulties in establishing the aforementioned range of security policies as well as mass testing of the population in order to reliably map the disease spreading. The implementation of those measure were limited not only by economic reasons, but also by political impediments. In the present study, a Bayesian analysis of the immunization rate against COVID-19 through vaccination, evaluating the immunization scenarios lasting or temporary. The logistics required for the vaccination campaign in Brazil were assessed by considering uncertainties in determining the daily rate of immunization, as well as the effectiveness of the vaccine made available for the population. In this intent, an epidemiological model was used compartmentalized, calibrated against historical data using the CATMIP stochastic algorithm. The obtained results indicate that the daily vaccination rate is the most important parameter of a successful immunization program, given an effectiveness rate equal or superior to 50%. However, a massive immunization rate needs to be conjugated with a responsible relaxing of the social distancing measures after the vaccination program start, under the risk of compromising any positive result in terms of the number of contaminated and deceased individuals.","PeriodicalId":438033,"journal":{"name":"Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics","volume":"414 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129654843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Use of Patent Information for Technological Prospecting on the Application of Construction and Demolition Waste on Permeable Pavement 利用专利信息进行建筑垃圾在透水路面上的应用技术勘探

Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics Pub Date : 2021-12-01 DOI: 10.55747/bjedis.v1i2.48361

Lucas Maia De Souza, Marco Antonio Precendo Figueira, Daniela Aparecida Dutra De Lima, Karen Licciarde Sales, C. Kniess

{"title":"Use of Patent Information for Technological Prospecting on the Application of Construction and Demolition Waste on Permeable Pavement","authors":"Lucas Maia De Souza, Marco Antonio Precendo Figueira, Daniela Aparecida Dutra De Lima, Karen Licciarde Sales, C. Kniess","doi":"10.55747/bjedis.v1i2.48361","DOIUrl":"https://doi.org/10.55747/bjedis.v1i2.48361","url":null,"abstract":"The growing concern regarding environmental issues is mainly related to the fact that natural resources are limited, and the environment is unable to absorb the current amount of generated waste. The construction industry is recognized as one of the sectors that consume the most natural resources and generates waste. A problem resulting from urbanization is the alteration of the natural hydrological cycle, due to an increase in the rate of soil waterproofing, resulting in an increase in the volume and constancy of the floods. The production and publication of knowledge are essential for the development of research, however, studies directed at the feasibility of applying and commercializing this knowledge are insufficient. The patent information serves as a source to map the technological prospecting, presenting relevant information to the application of the invention with the purpose of commercialization. This study applied a survey of patent information about permeable pavement using construction and demolition waste (CDW) as an alternative raw material. The authors conducted an exploratory study based on a survey of existing patents in international databases, through Google Patents, EPO (Espacenet), and WIPO (Patentscope), verifying the degree of technological development, holders of inventions, and potential markets. We used the terms “construction and demolition waste”, “pavement” and “paving” to obtain the patent results. As a result, 65 patents were filed, highlighting as depositing countries, the dominance of the United States, Brazil, Japan, and China. The knowledge contained in patents can collaborate to make decisions related to sustainability in the civil construction sector.","PeriodicalId":438033,"journal":{"name":"Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115921408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Contribution of Patent Information for Obtaining Mortars with Construction and Demolition Waste (CDW) as Recycled Aggregate 以建筑和拆除废料(CDW)作为再生骨料获得砂浆的专利信息贡献

Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics Pub Date : 2021-12-01 DOI: 10.29327/232092.1.2-9

D. A. Lima, Karen Licciarde Sales, L. Souza, Marco Antonio Precendo Figueira, C. Kniess

引用次数: 0

Synthesis and Characterization of Modified Magnetic Nanoparticles for Removal of Dispersed Oil in Water 改性磁性纳米颗粒去除水中分散油的合成与表征

Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics Pub Date : 2021-12-01 DOI: 10.29327/232092.1.1-18

F. D. S. Maranhão, Caroline Pereira de Oliveira, S. T. Filho, D. Das, Fernando Gomes de Souza Junior

{"title":"Synthesis and Characterization of Modified Magnetic Nanoparticles for Removal of Dispersed Oil in Water","authors":"F. D. S. Maranhão, Caroline Pereira de Oliveira, S. T. Filho, D. Das, Fernando Gomes de Souza Junior","doi":"10.29327/232092.1.1-18","DOIUrl":"https://doi.org/10.29327/232092.1.1-18","url":null,"abstract":"This paper proposes the synthesis of materials capable of sorption oil dispersed in water. From the production of magnetic iron oxide nanoparticles, more specifically magnetite, inorganic modifications were performed using quartz and silicaalumina, in order to identify their properties and sorption capabilities of oil. The produced materials were characterized by Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy with energy dispersive spectroscopy (SEM/EDS), x-ray diffraction (XRD), sorption and magnetic force tests. At the end of the characterizations and tests, it was concluded that the magnetic nanoparticles were successfully modified. Regarding magnetite, the sorption capacity was outstanding, while the modifications had the same sorption capacity. And the statistical calculations obtained by ANOVA and Tukey's method, proved the difference in the sorption of the samples. In addition, it was evidenced that the higher the magnetic force, the greater is the ability to collect the spot/nanoparticle using a magnet.","PeriodicalId":438033,"journal":{"name":"Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121712308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Nanotechnology in Concrete: a Bibliometric Review 混凝土中的纳米技术:文献计量学综述

Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics Pub Date : 2021-12-01 DOI: 10.29327/232092.1.1-14

V. Costa, Fernando Gomes de Souza Junior, Sabu Thomas, R. D. T. Filho, Luana de Castro Sousa, S. T. Filho, Fernanda Veloso de Carvalho, F. D. S. Maranhão, M. Aboelkheir, Nathali Ricardo Barbosa de Lima, E. Pereira, N. Hasparyk

引用次数: 0

Meet our Editorial Producer 见见我们的编辑制作人

Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics Pub Date : 2021-12-01 DOI: 10.55747/bjedis.v1i1.48401

E. Jorge

引用次数: 0

Meet the members of the Editorial Counsel 见见编辑顾问的成员

Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics Pub Date : 2021-12-01 DOI: 10.55747/bjedis.v1i1.48402

Sabu Thomas

引用次数: 0

Meet our Editor-in-Chief 认识一下我们的总编辑

Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics Pub Date : 2021-12-01 DOI: 10.55747/bjedis.v1i1.48398

Fernando Gomes de Souza Junior

引用次数: 0

Validation method of the mathematical model for SARS-Cov-2 pandemic from data mining and statistical analysis 基于数据挖掘和统计分析的SARS-Cov-2大流行数学模型验证方法

Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics Pub Date : 2021-12-01 DOI: 10.29327/232092.1.2-2

R. Santana, A. L. Nunes, P. Salomone

{"title":"Validation method of the mathematical model for SARS-Cov-2 pandemic from data mining and statistical analysis","authors":"R. Santana, A. L. Nunes, P. Salomone","doi":"10.29327/232092.1.2-2","DOIUrl":"https://doi.org/10.29327/232092.1.2-2","url":null,"abstract":": Nowadays, in 2020, we live during the most dangerous global pandemic that has been reported since the Spanish Flu, which occurred between 1918 and 1920. According to World Health Organization (WHO) records, the pandemic caused by the Sars-Cov-2 virus began in December 2019 and is present in all continents and almost all countries, surpassing more than 79 million infected and 1.7 million deaths by December 2020. Several mathematical models applied to Epidemiology have been adopted over time. One of the most widely adopted is the Susceptible-Infected-Recovered (SIR), developed in India by Kermack and Mckendrick in 1927. In our research, a comprehensive collection of data on the SARS-Cov-2 pandemic was made from reports by WHO, Dadax Limited (Chinese data company), and Johns Hopkins University in the United States of America (USA). Facts were collected from many different countries, regarding the number of confirmed, recovered, and death cases. In this article, we constructed a mathematical model that describes the evolution of the pandemic from the similarity with models already adopted in the field of nuclear physics. For the validation of the mathematical model, we chose information from Germany due to the reliability of the available information. Thus, a statistical analysis was executed to qualify the performance of the method and the predictive character of the mathematical model. To date, 11,716 raw data have been collected, of which we performed data mining relevant to use in this research. to the BJEDIS’ scope: In this written work, we used mathematical modeling to analyze a very large number of data related to the contamination and spread of a highly contagious virus in human populations. We used spreadsheets for mining relevant data and producing new data to recognize and forecasts.","PeriodicalId":438033,"journal":{"name":"Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics","volume":"521 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132386743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Poly(lactic acid)-PLA: An Analysis Based on Literature Text Mining 聚乳酸-PLA:基于文献文本挖掘的分析

Brazilian Journal of Experimental Design, Data Analysis and Inferential Statistics Pub Date : 2021-12-01 DOI: 10.29327/232092.1.1-10

Emiliane Daher, Fernando Gomes de Souza Junior, Viviane Brandão, Jean Carelo

引用次数: 0