A NEURO-FUZZY SYSTEM TO SUPPORT THE ATTENTION DIRECTION OF NUCLEAR POWER PLANT OPERATORS

Accident diagnosis in nuclear power plants (NPPs) is a very hard task for plant operators due the number of variables they have to deal simultaneously when facing accident situations. The previous identification of possible accident situations is an essential issue for safe operation in NPPs. Artificial intelligence techniques and tools are suitable to identify complex systems accident situations because the system faults and anomalies lead to different pattern evolution in the correlated processes variables, Such patterns can be identified by Artificial Neuron Networks (ANNs). The system developed in this work aims to support operators’ attention direction during accidents in NPPs using a Neuro-Fuzzy approach for event's identification forecast. ANNs are used to perform this task. After the NN has done the event type identification, a fuzzy-logic system analyzes the results giving a reliability level of that. The results have shown the system is capable to help the operators to direct their attention and narrow their information search field in the noisy background of the operation during accident situations in nuclear power plants

Complicações dos implantes mamários na mamoplastia de aumento: Complications of breast implants in breast augmentation

INTRODUÇÃO: Ao longo das últimas décadas, principalmente com a evolução das mídias sociais, a ênfase na imagem corporal tornou-se evidente. Isso aliado à crescente aceitação da cirurgia estética, levou a um acréscimo importante na cirurgia de aumento dos seios; OBJETIVOS: Analisar os riscos de complicações dos implantes mamários e suas implicações na saúde dos pacientes. METODOLOGIA: Trata-se de uma revisão da literatura com sistematização nos motores de busca acadêmicos PubMed/MEDLINE e SciELO. Utilizou-se o descritor: “Breast Implants AND Mammaplasty”, retirado da plataforma “Descritores em Ciências da Saúde (DeCS)”, em ambos os bancos de dados. Os filtros utilizados foram: artigos de revisão, últimos 5 anos, e idiomas inglês, português e espanhol; RESULTADOS/DISCUSSÃO: A alocação dos implantes mamários apresentam riscos ao paciente. Dentre as possíveis injúrias, temos: Doença do silicone, infecção, formação de biofilme no implante, seroma, ondulação e enrrugamento, rotação do dispositivo, visibilidade da borda do implante, ruptura, contratura capsular, linfoma anaplásico de grandes células, hematoma, câncer de mama e os efeitos decorrentes da radioterapia. CONCLUSÃO: Portanto, essas inovações guiam a mamoplastia de aumento para desfechos com menos complicações, como contratura capsular, doença do silicone e linfoma

Indicações dos implantes mamários na Mamoplastia de aumento: Indications for breast implants in augmentation Mammoplasty

INTRODUÇÃO: Ao longo das últimas décadas, principalmente com a evolução das mídias sociais, a ênfase na imagem corporal tornou-se evidente. Isso aliado à crescente aceitação da cirurgia estética, levou a um acréscimo importante na cirurgia de aumento dos seios; OBJETIVOS: Expor as indicações das próteses mamárias de acordo com as individualidades dos pacientes. METODOLOGIA: Trata-se de uma revisão da literatura com sistematização nos motores de busca acadêmicos PubMed/MEDLINE e SciELO. Utilizou-se o descritor: “Breast Implants AND Mammaplasty”, retirado da plataforma “Descritores em Ciências da Saúde (DeCS)”, em ambos os bancos de dados. Os filtros utilizados foram: artigos de revisão, últimos 5 anos, e idiomas inglês, português e espanhol; RESULTADOS/DISCUSSÃO: As indicações para a alocação assertiva do implante mamário deve levar em consideração alguns aspectos essenciais, dentre eles: Estado psicológico do paciente, a escolha do implante de acordo com as suas características, posicionamento anatômico do dispositivo, o melhor tipo de incisão e a utilização ou não da matriz dérmica acelular. CONCLUSÃO: Portanto, essas inovações guiam a mamoplastia de aumento para desfechos com menos complicações, como contratura capsular, doença do silicone e linfoma

Viabilidade de bactérias probióticas em bioiogurte adicionado de mel de abelhas Jataí e africanizadas

The objective of this work was to evaluate the viability of probiotic bacteria in bioyogurt with the addition of honey from Africanized and Jataí bees, in different concentrations. To prepare the fermented milk, reconstituted powdered milk and lactic acid starter culture were used. The bioyogurt was evaluated at 0, 7, 14, 21, 28, and 35 days of storage. Analyzes of pH, titratable acidity, and selective count of the Lactobacillus acidophilus LA-5 and Bifidobacterium BB-12 microorganisms were carried out. Counting was done, respectively, on MRS agar, in aerobiosis, and MRS-LP agar, in anaerobiosis, with plates incubated at 37°C for 72 hours. Treatments were arranged in a completely randomized design in split plot, with five treatments: without honey; 5 and 10% honey from Africanized bees, and 5 and 10% honey from Jataí bees. Storage times were evaluated in the split plots. In all treatments, bioyogurt showed counts of 107 CFU g-1 lactic acid bacteria. Probiotic cultures remained viable for 35 days under refrigeration (2–4°C). The interaction between the variation factors affected the probiotic concentration in the bioyogurt. The honeys have a favorable effect on the cell counts of the evaluated microorganisms.O objetivo deste trabalho foi avaliar a viabilidade de bactérias probióticas em bioiogurte adicionado de mel de abelhas africanizadas e Jataí, em diferentes concentrações. Para a elaboração do leite fermentado, utilizou-se leite em pó reconstituído e fermento lácteo. O bioiogurte foi avaliado com 0, 7, 14, 21, 28 e 35 dias de armazenamento. Foram realizadas análises de pH, acidez titulável e contagem seletiva dos microrganismos Lactobacillus acidophilus LA-5 e Bifidobacterium BB-12. As contagens foram realizadas, respectivamente, em ágar MRS, em aerobiose, e ágar MRS-LP, em anaerobiose, com placas incubadas a 37ºC por 72 horas. Os tratamentos foram arranjados em delineamento inteiramente casualizado, com parcelas subdivididas e cinco tratamentos: sem mel; 5 e 10% de mel de abelha africanizada; e 5 e 10% de mel de abelha Jataí. Os tempos de estocagem foram avaliados nas subparcelas. O bioiogurte apresentou contagens de bactérias láticas de 107 UFC g-1, em todos os tratamentos. As culturas probióticas mantiveram-se viáveis por 35 dias sob refrigeração (2–4°C). Houve efeito da interação entre os fatores de variação sobre a concentração dos probióticos no bioiogurte. Os méis têm efeito favorável sobre a contagem de células dos microrganismos avaliados

[Book of abstracts]

USPFAPESPCAPESICMC Summer Meeting on Differential Equations (2015 São Carlos

Book of Abstracts

USPCAPESFAPESPCNPqINCTMatICMC Summer Meeting on Differentail Equations.\ud São Carlos, Brasil. 3-7 february 2014

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

ATLANTIC EPIPHYTES: a data set of vascular and non-vascular epiphyte plants and lichens from the Atlantic Forest

Epiphytes are hyper-diverse and one of the frequently undervalued life forms in plant surveys and biodiversity inventories. Epiphytes of the Atlantic Forest, one of the most endangered ecosystems in the world, have high endemism and radiated recently in the Pliocene. We aimed to (1) compile an extensive Atlantic Forest data set on vascular, non-vascular plants (including hemiepiphytes), and lichen epiphyte species occurrence and abundance; (2) describe the epiphyte distribution in the Atlantic Forest, in order to indicate future sampling efforts. Our work presents the first epiphyte data set with information on abundance and occurrence of epiphyte phorophyte species. All data compiled here come from three main sources provided by the authors: published sources (comprising peer-reviewed articles, books, and theses), unpublished data, and herbarium data. We compiled a data set composed of 2,095 species, from 89,270 holo/hemiepiphyte records, in the Atlantic Forest of Brazil, Argentina, Paraguay, and Uruguay, recorded from 1824 to early 2018. Most of the records were from qualitative data (occurrence only, 88%), well distributed throughout the Atlantic Forest. For quantitative records, the most common sampling method was individual trees (71%), followed by plot sampling (19%), and transect sampling (10%). Angiosperms (81%) were the most frequently registered group, and Bromeliaceae and Orchidaceae were the families with the greatest number of records (27,272 and 21,945, respectively). Ferns and Lycophytes presented fewer records than Angiosperms, and Polypodiaceae were the most recorded family, and more concentrated in the Southern and Southeastern regions. Data on non-vascular plants and lichens were scarce, with a few disjunct records concentrated in the Northeastern region of the Atlantic Forest. For all non-vascular plant records, Lejeuneaceae, a family of liverworts, was the most recorded family. We hope that our effort to organize scattered epiphyte data help advance the knowledge of epiphyte ecology, as well as our understanding of macroecological and biogeographical patterns in the Atlantic Forest. No copyright restrictions are associated with the data set. Please cite this Ecology Data Paper if the data are used in publication and teaching events. © 2019 The Authors. Ecology © 2019 The Ecological Society of Americ

Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost