Ferramenta para validação de permissões de acesso a serviços da plataforma Android

Trabalho de Conclusão de Curso (graduação)—Universidade de Brasília, Faculdade de Tecnologia, 2019.Dada a popularização de dispositivos móveis com o sistema operacional Android e o aumento notável de crimes cibernéticos que envolvem a aquisição e a venda de informações confidenciais por meio de aplicativos móveis, fica evidente a necessidade de desenvolver ferramentas que possam fornecer aos usuários o quão vulnerável estão as suas informações pessoais. Este trabalho apresenta uma ferramenta desenvolvida para verificar as permissões de acesso a serviços no sistema Android, confrontando as mesmas com as permissões informadas na Google PlayStore e, por fim, informar o quão transparente é a informação oferecida pela loja de aplicativos e, simultaneamente, possibilitar a análise de quais tipos de informação podem ser acessadas pelo aplicativo em análise.Given the popularization of mobile devices running Android operating system and the notable increase in cyber crimes involving the acquisition and sale of sensitive information through mobile applications, there is a clear need to develop tools that can provide users with an opinion of how vulnerable their private information will be to the applications used on their mobile devices. This paper presents a tool developed to check the access permissions to services on the Android system, comparing them with the permissions informed on Google PlayStore and, finally, inform how transparent is the information offered by the app store and simultaneously enable the analysis of what types of information can be accessed by the application under review

AMORIS project - mobile application and command and control center on an iot network to support solidarity actions to counter Covid-19 and other outbreaks

O Projeto AMORIS visa fomentar uma ação de solidariedade entre membros da comunidade da Universidade de Brasília e seu entorno com abrangência regional e nacional, ação denominada Sistema UnB Solidária. O projeto contempla o desenvolvimento de um aplicativo de redes móveis operando em paradigma de Internet of Things (IoT) com uma central de comando & controle (C&C), monitoração, coordenação e integração, de modo a permitir que as pessoas façam ações solidárias em diversas situações, como: ajuda médica, ações de segurança comunitária, casos de dificuldade pessoal, apoio educacional etc

Building a Portuguese Coalition for Biodiversity Genomics

The diverse physiography of the Portuguese land and marine territory, spanning from continental Europe to the Atlantic archipelagos, has made it an important repository of biodiversity throughout the Pleistocene glacial cycles, leading to a remarkable diversity of species and ecosystems. This rich biodiversity is under threat from anthropogenic drivers, such as climate change, invasive species, land use changes, overexploitation or pathogen (re)emergence. The inventory, characterization and study of biodiversity at inter- and intra-specific levels using genomics is crucial to promote its preservation and recovery by informing biodiversity conservation policies, management measures and research. The participation of researchers from Portuguese institutions in the European Reference Genome Atlas (ERGA) initiative, and its pilot effort to generate reference genomes for European biodiversity, has reinforced the establishment of Biogenome Portugal. This nascent institutional network will connect the national community of researchers in genomics. Here, we describe the Portuguese contribution to ERGA’s pilot effort, which will generate high-quality reference genomes of six species from Portugal that are endemic, iconic and/or endangered, and include plants, insects and vertebrates (fish, birds and mammals) from mainland Portugal or the Azores islands. In addition, we outline the objectives of Biogenome Portugal, which aims to (i) promote scientific collaboration, (ii) contribute to advanced training, (iii) stimulate the participation of institutions and researchers based in Portugal in international biodiversity genomics initiatives, and (iv) contribute to the transfer of knowledge to stakeholders and engaging the public to preserve biodiversity. This initiative will strengthen biodiversity genomics research in Portugal and fuel the genomic inventory of Portuguese eukaryotic species. Such efforts will be critical to the conservation of the country’s rich biodiversity and will contribute to ERGA’s goal of generating reference genomes for European species.info:eu-repo/semantics/publishedVersio

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

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

EUCALYPTUS CELLULOSE MICRO/NANOFIBRILS IN EXTRUDED FIBERCEMENT COMPOSITES

Extrusion is an alternative process for fiber-cement production and allows many advantages such as different geometries for the extruded products and the low initial investment for industrial production. In this context the aim of this study was to produce cellulose micro/nanofibrils from Eucalyptus pulp and evaluate the properties of cementitious composites made with different contents of cellulose micro/nanofibrils. Cellulose micro/ nanofibrils were produced using a mechanical defibrillator, and characterized for their morphology. Extruded composites were produced with 0.5 to 1.0% (by mass) of micro/ nanofibrils and compared to unreinforced composites. Composites reinforced with 1.0% of micro/nanofibrils presented higher water absorption and apparent porosity than their counter parts. No significant differences were observed for modulus of rupture (MOR), limit of proportionality (LOP) and final specific deformation, between the composites reinforced with 0.5% and 1.0% of micro/nanofibrils and those with no reinforcement. The static elastic modulus (MOE) increased and specific energy decreased with the inclusion of 1.0% of micro/nanofibrils. Dynamic elastic modulus (E) of the composites increased with the increase of micro/nanofibrils content and of weathering exposition. This study indicates that fiber-cements are sensitive to changes in structural composition and time of ageing (135 days). This information can be useful for developing of new products based on cellulose micro/nanofibrils

Causes of death in patients with Berardinelli-Seip congenital generalized lipodystrophy - Fig 3

<p>(A) Causes of death (n) stratified according to the age group of patients. (B) Patients’ mean age according to the cause of death.</p

Age at death (years-old) of Berardinelli-Seip Congenital Lipodystrophy patients according to the year of death.

<p>Age at death (years-old) of Berardinelli-Seip Congenital Lipodystrophy patients according to the year of death.</p

Main causes of death in Berardinelli-Seip Congenital Lipodystrophy patients.

<p>Results divided by gender: female (B), and male (C).</p