EPOS Security & GDPR Compliance

Since May 2018, companies have been required to comply with the General Data Protection Regulation (GDPR). This means that many companies had to change their methods of collecting and processing EU citizens’ data. The compliance process can be very expensive, for example, more specialized human resources are needed, who need to study the regulations and then implement the changes in the IT applications and infrastructures. As a result, new measures and methods need to be developed and implemented, making this process expensive. This project is part of the EPOS project. EPOS allows data on earth sciences from various research institutes in Europe to be shared and used. The data is stored in a database and in some file systems and in addition, there is web services for data mining and control. The EPOS project is a complex distributed system and therefore it is important to guarantee not only its security, but also that it is compatible with GDPR. The need to automate and facilitate this compliance and verification process was identified, in particular the need to develop a tool capable of analyzing applications web. This tool can provide companies in general an easier and faster way to check the degree of compliance with the GDPR in order to assess and implement any necessary changes. With this, PADRES was developed that contains the main points of GDPR organized by principles in the form of checklist which are answered manually. When submitted, a security analysis is also performed based on NMAP and ZAP together with the cookie analyzer. Finally, a report is generated with the information obtained together with a set of suggestions based on the responses obtained from the checklist. Applying this tool to EPOS, most of the points related to GDPR were answered as being in compliance although the rest of the suggestions were generated to help improve the level of compliance and also improve general data management. In the exploitation of vulnerabilities, some were found to be classified as high risk, but most were found to be classified as medium risk.Desde maio de 2018 que as empresas precisam de cumprir o Regulamento Geral de Proteção de Dados (GDPR). Isso significa que muitas empresas tiveram que mudar seus métodos de como recolhem e processam os dados dos cidadãos da UE. O processo de conformidade pode ser muito caro, por exemplo, são necessários recursos humanos mais especializados, que precisam estudar os regulamentos e depois implementar as alterações nos aplicativos e infraestruturas de TI. Com isso novas medidas e métodos precisam ser desenvolvidos e implementados, tornando esse processo caro. Este projeto está inserido no projeto European Plate Observing System (EPOS). O EPOS permite que dados sobre ciências da terra de vários institutos de pesquisa na Europa sejam compartilhados e usados. Os dados são armazenados em base de dados e em alguns sistema de ficheiros e além disso, existem web services para controle e mineração de dados. O projeto EPOS é um sistema distribuído complexo e portanto, é importante garantir não apenas sua segurança, mas também que seja compatível com o GDPR. Foi identificada a necessidade de automatizar e facilitar esse processo, em particular a necessidade de desenvolver uma ferramenta capaz de analisar aplicações web. Essa ferramenta, chamada PrivAcy, Data REgulation and Security (PADRES) pode fornecer às empresas uma maneira mais fácil e rápida de verificar o grau de conformidade com o GDPR com o objetivo de avaliar e implementar quaisquer alterações necessárias. Com isto, esta ferramenta contém os pontos principais do General Data Protection Regulation (GDPR) organizado por princípios em forma duma lista de verificação, os quais são respondidos manualmente. Como os conceitos de privacidade e segurança se complementam, foi também incluída a procura por vulnerabilidades em aplicações web. Ao integrar as ferramentas de código aberto como o Network Mapper (NMAP) ou Zed Attack Proxy (ZAP), é possível então testar a aplicações contra as vulnerabilidades mais frequentes segundo o Open Web Application Security Project (OWASP) Top 10. Aplicando esta ferramenta no EPOS, a maioria dos pontos relativos ao GDPR foram respondidos como estando em conformidade apesar de nos restantes terem sido geradas as respetivas sugestões para ajudar a melhorar o nível de conformidade e também melhorar o gerenciamento geral dos dados. Na exploração das vulnerabilidades foram encontradas algumas classificadas com risco elevado mas na maioria foram encontradas mais com classificação média

Osteosynthesis metal plate system for bone fixation using bicortical screws: numerical modelling

This work describes the numerical modelling of an immobilization system currently used to repair long bone fractures. The referred system was employed to ensure the mechanical stabilization of an oblique bone fracture by means of a dynamic compression plate (DCP) and bicortical screws. The numerical characterization of the fixation system was performed to obtain stress and strain fields in cortical bone tissue. The validation of the numerical model was performed using experimental data previously obtained in other work. Since the experimental characterization indorsed the visualization of the screw pull-out phenomenon during the loading process, damage parameters (trapezoidal law) were measured experimentally in this region. These parameters were introduced in the finite element model (FEM) to simulate the initiation and propagation of damage in bone tissue. A mixed-mode (I+II) damage law was used to mimic the mechanical behaviour of the bone fracture and the screw-bone interface

An overview of migratory birds in Brazil

We reviewed the occurrences and distributional patterns of migratory species of birds in Brazil. A species was classified as migratory when at least part of its population performs cyclical, seasonal movements with high fidelity to its breeding grounds. Of the 1,919 species of birds recorded in Brazil, 198 (10.3%) are migratory. Of these, 127 (64%) were classified as Migratory and 71 (36%) as Partially Migratory. A few species (83; 4.3%) were classified as Vagrant and eight (0,4%) species could not be defined due to limited information available, or due to conflicting data.Fil: Somenzari, Marina. Centro Nacional de Pesquisa e Conservação de Aves Silvestres. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: Amaral, Priscilla Prudente do. Centro Nacional de Pesquisa e Conservação de Aves Silvestres. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: Cueto, Víctor. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Centro de Investigación Esquel de Montaña y Estepa Patagóica. Universidad Nacional de la Patagonia "San Juan Bosco". Facultad de Ciencias Naturales - Sede Esquel. Centro de Investigación Esquel de Montaña y Estepa Patagónica; ArgentinaFil: Guaraldo, André de Camargo. Universidade Federal do Paraná; BrasilFil: Jahn, Alex. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Lima, Diego Mendes. Centro Nacional de Pesquisa e Conservação de Aves Silvestres. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: Lima, Pedro Cerqueira. Fundação BioBrasil; BrasilFil: Lugarini, Camile. Centro Nacional de Pesquisa e Conservação de Aves Silvestres. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: Machado, Caio Graco. Universidade Estadual de Feira de Santana; BrasilFil: Martinez, Jaime. Universidade de Passo Fundo; BrasilFil: do Nascimento, João Luiz Xavier. Centro Nacional de Pesquisa e Conservação de Aves Silvestres. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: Pacheco, José Fernando. Comitê Brasileiro de Registros Ornitológicos; BrasilFil: Paludo, Danielle. Centro Nacional de Pesquisa e Conservação de Aves Silvestres. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: Prestes, Nêmora Pauletti. Universidade de Passo Fundo; BrasilFil: Serafini, Patrícia Pereira. Centro Nacional de Pesquisa e Conservação de Aves Silvestres. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: Silveira, Luís Fábio. Universidade de Sao Paulo; BrasilFil: de Sousa, Antônio Emanuel Barreto Alves. Centro Nacional de Pesquisa e Conservação de Aves Silvestres. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: de Sousa, Nathália Alves. Centro Nacional de Pesquisa e Conservação de Aves Silvestres. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: de Souza, Manuella Andrade. Centro Nacional de Pesquisa e Conservação de Aves Silvestres. Instituto Chico Mendes de Conservação da Biodiversidade; BrasilFil: Telino-Júnior, Wallace Rodrigues. Universidade Federal de Pernambuco; BrasilFil: Whitney, Bret Myers. State University of Louisiana; Estados Unido

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

Promising Mechanical, Thermal, and Ballistic Properties of Novel Epoxy Composites Reinforced with Cyperus malaccensis Sedge Fiber

Composites reinforced with natural lignocellulosic fibers (NLFs) are gaining relevance as the worldwide demand for renewable and sustainable materials increases. To develop novel natural composites with satisfactory properties, less common NLFs should also be investigated. Among these, the Cyperus malaccensis (CM), a type of sedge fiber, is already used in simple items like ropes, furniture, and paper, but has not yet been investigated as composite reinforcement for possible engineering applications. Therefore, the present work evaluated for the first time the properties of novel epoxy composites incorporated with 10, 20, and 30 vol.% of CM sedge fibers. Tensile, Izod-impact, and ballistic impact tests were performed, as well as Fourier transform infrared (FT-IR) spectroscopy and thermal analysis of the composites. Results disclosed a decrease (−55%) in tensile strengths as compared to the neat epoxy. However, the elastic modulus of the 30 vol.% sedge fiber composite increased (+127%). The total strain and absorbed ballistic energy did not show significant variation. The Izod impact energy of the 30 vol.% composite was found to be 181% higher than the values obtained for the neat epoxy as a control sample. An increase in both stiffness and toughness characterized a reinforcement effect of the sedge fiber. The thermal analysis revealed a slight decrease (−15%) in the degradation temperature of the CM sedge fiber composites compared to the neat epoxy. The glass-transition temperatures were determined to be in the range of 67 to 81 °C