Enantiomeric Ratio Changes of Terpenes in Essential Oils from Hybrid Eucalyptus grandis × E. tereticornis and its Pure Species

Some Eucalyptus species produce oils with biological activities and the effect of their interspecifc hybridization on the enantiomeric composition of terpenes has not been reported. The enantiomeric excesses of monoterpenes in the essential oil of Eucalyptus grandis × E. tereticornis and its parental taxa were determined by gas chromatography-mass spectrometry (GC-MS), and to resolve coelutions problems by preparative high performance liquid chromatography (HPLC)and GC-MS with two columns in series. The essential oil composition of the hybrid presented qualitative and quantitative differences with the composition of its parental taxa. Great differences were found for the enantiomeric ratio in monoterpene alcohols among the three essential oils. Our results suggest that the enantiomeric analysis can be a reliable method for the study of how theinterspecifc hybridization can module the enantiomeric chemical profle in Eucalyptus essential oils. These results suggest the use of interspecifc hybridization to improve or expand the source of bioactive compounds.Fil: Naspi, Cecilia Veronica. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Investigación y Desarrollo Estratégico para la Defensa. Ministerio de Defensa. Unidad de Investigación y Desarrollo Estratégico para la Defensa; ArgentinaFil: Alvarez Costa, Agustin. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Investigación y Desarrollo Estratégico para la Defensa. Ministerio de Defensa. Unidad de Investigación y Desarrollo Estratégico para la Defensa; ArgentinaFil: Lucia, Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Investigación y Desarrollo Estratégico para la Defensa. Ministerio de Defensa. Unidad de Investigación y Desarrollo Estratégico para la Defensa; ArgentinaFil: Gonzalez Audino, Paola Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Investigación y Desarrollo Estratégico para la Defensa. Ministerio de Defensa. Unidad de Investigación y Desarrollo Estratégico para la Defensa; ArgentinaFil: Masuh, Hector Mario. Consejo Nacional de Investigaciones Científicas y Técnicas. Unidad de Investigación y Desarrollo Estratégico para la Defensa. Ministerio de Defensa. Unidad de Investigación y Desarrollo Estratégico para la Defensa; Argentin

A Machine-Learning Approach for the Reconstruction of Ground-Shaking Fields in Real Time

Real-time seismic monitoring is of primary importance for rapid and targeted emergency operations after potentially destructive earthquakes. A key aspect in determining the impact of an earthquake is the reconstruction of the ground-shaking field, usually expressed as the ground-motion parameter. Traditional algorithms compute the ground-shaking field from the punctual data at the stations relying on ground-motion prediction equations computed on estimates of the earthquake location and magnitude when the instrumental data are missing. The results of such algorithms are then subordinate to the evaluation of location and magnitude, which can take several minutes. To fill the temporal gap between the arrival of the data and the estimate of these parameters, a new data-driven algorithm that exploits the information from the station data only is introduced. This algorithm, consisting of an ensemble of convolutional neural networks (CNNs) trained on a database of ground-shaking maps produced with traditional algorithms, can provide estimates of the ground-shaking maps and their associated uncertainties in real time. Because CNNs cannot handle sparse data, a Voronoi tessellation of a selected peak ground parameter recorded at the stations is computed and used as the input to the CNNs; site effects and network geometry are accounted for using a (normalized) V S30 map and a station location map, respectively. The developed method is robust to noise, can handle network geometry changes over time without the need for retraining, and can resolve multiple simultaneous events. Although having a lower resolution, the results obtained are statistically compatible with the ones from traditional methods. A fully operational version of the algorithm is running on the servers at the Department of Mathematics and Geosciences of the University of Trieste, showing real-time capabilities in handling stations from multiple Italian strong-motion networks and outputting results with a resolution of 0.05° × 0.05

Muraida e seus (des)encontros com os Lusíadas

Muraida é o primeiro texto poético, com estrutura épica, escrito em Língua Portuguesa, sobre um tema relativo ao território que hoje se configura como amazônico, e através desse épico podemos vislumbrar uma das faces da empreitada colonial. O épico possui Dedicatória, Invocação, Proposição, Narração e Epílogo e é divido em seis cantos, cuja forma e intenção são similares ao modelo camoniano: as estrofes se organizam em oitava rima camoniana e os versos são decassílabos. O poema foi escrito por Henrique João Wilkens, em 1785, no quartel da Vila de Ega, atual cidade de Tefé--AM. No entanto, sua primeira edição data de 1819 pela Imprensa do Reino

Direitos não confinados

O livro Direitos NÃO Confinados versa sobre os Direitos da Criança cuja convenção foi adotada pela Assembleia Geral das Nações Unidas em 20 de novembro de 1989 e ratificada por Portugal em 21 de setembro de 1990. Este projeto nascido em contexto pandémico foi protagonizado por Frei João Costa, Verónica Parente e um conjunto de 56 crianças e suas famílias, a quem foi proposto fizessem uma breve reflexão, sobre um dos seus direitos, desde a perspetiva singular do seu olhar. A obra é ilustrada pelas próprias crianças — a maioria é portuguesa, mas incluiu ainda uma timorense, uma refugiada moçambicana, uma menina com necessidades educativas especiais e algumas emigrantes — e por Kiko Salcedo, jovem catalão portador de paralisia cerebral. Álvaro Laborinho Lúcio escreve na abertura obra: «Direitos Não Confinados constitui, só por si, importantíssimo contributo para que se vá consolidando o conhecimento e o respeito pelos direitos da criança que, uma vez libertada da qualidade de simples «menor» - que tanto a foi diminuindo como pessoa - surge agora, perante o adulto, como um outro, um verdadeiro sujeito, portador de dignidade humana, com direito a participar ativamente num mundo de todos, independentemente da sua idade». A interpretação de cada um dos artigos da Convenção é acompanhada por uma oração em tons poéticos criada para esta ocasião.info:eu-repo/semantics/publishedVersio

Criando aberturas em regime fechado : percursos por entre o trabalho como atividade no âmbito da socioeducação

A presente dissertação tem o intuito de produzir questões clínicas do trabalho com Agentes Socioeducadores, problematizando aspectos relativos à expansão do poder de agir em meio às tensões educar/punir/vigiar que caracterizam o exercício no campo socioeducativo. As ações envolvendo o adolescente em conflito com a lei sempre esteve fortemente ligada a práticas de cunho disciplinar e, por vezes, individualizantes, questões que se produziram a partir da herança de um período onde as políticas voltadas à infância e juventude não se organizavam de maneira a privilegiar a participação social frente aos modos de pensar e tratar o jovem. Com a emergência dos movimentos sociais que consolidaram o Estatuto da Criança e do Adolescente, efeitos outros produziram-se, no sentido de que a política pública deve se fazer pública, iniciando um processo de fortalecimento de práticas que acolham a produção do comum, o que implica pensar que é na própria experiência cotidiana do labor que os trabalhadores operam a política pública (além das diretrizes), devendo construir coletivamente estratégias instituintes, mediante um processo coanalítico operado com abordagens que tomam o trabalho pela via da atividade (Clínica da Atividade e Ergologia). Tais perspectivas colocam que, pensar o trabalho, implica em gerir a distância entre o prescrito e o real, buscando analisar como os trabalhadores efetuam cotidianamente as microgestões dos processos laborais mediante imprevisibilidades e os modos como dão sentido e experimentam o trabalho, produzindo transformações através de relações entre si e com o mundo. A atividade afirma um modo de vida não se limitando a execução de normas, pois, viver é poder criar novas normas, processo que só é possível mediante uma gestão coletiva fabricada na experiência do próprio trabalho, visando a expansão do poder de agir (questão crucial para a saúde). Os procedimentos metodológicos se deram através de um processo de pesquisa-intervenção cartográfica, onde pesquisadora e pesquisados colocaram-se como coanalistas das situações laborais. Os dispositivos empregados enquanto método de pesquisa foram o diário de campo, onde se encontra muito da voz da pesquisadora e dos movimentos do pesquisar, observações, análise de documentos, acompanhamento das situações concretas de trabalho, organização de espaços coletivos de discussão e análise da atividade no âmbito socioeducativo e Instrução ao Sósia. As análises produzidas permitiram explorar, por entre a gestão cotidiana dos processos de trabalho, peculiaridades da dinâmica expansão-constrangimento do poder de agir no e pelo trabalho Socioeducativo, discutindo que cuidar da saúde dos agentes socioeducadores pelo cuidado do ofício, abre perspectivas para a instauração de relação éticas por entre a expansão do poder de agir no trabalho da socioeducação.The present dissertation aims to produce clinical questions of the work with Socioeducational Agents acting in closed socio-educational measures, problematizing aspects related to the expansion of the power to act amid the tensions educating / punishing / that characterize the exercise in the socio-educational field. Actions involving adolescents in conflict with the law have always been strongly linked to disciplinary and, sometimes, individualizing practices, issues that have arisen from the legacy of a period when policies aimed at children and youth were not organized in a way to privilege social participation in the face of ways of thinking and treating young people. With the emergence of the social movements that consolidated the Child and Adolescent Statute, other effects took place, in the sense that public policy must be made public, initiating a process of strengthening practices that welcome the production of the common, which implies thinking that it is in own daily experience of work that workers operate public policy (in addition to the guidelines), and they must collectively build instituting strategies, through a coanalytical process that operates with approaches that take the work through the activity (Clinic of Activity and Ergology). Such perspectives suggest that thinking about work implies managing the distance between what is prescribed and what is real, seeking to analyze how workers perform micro-management of work processes on a daily basis through unpredictability and the ways in which they give meaning and experience work, producing transformations through relationships with each other and with the world. The activity affirms a way of life not limited to the execution of norms, because to live is to be able to create new norms, a process that is only possible through a collective management fabricated from the experience of the work itself, aiming at the expansion of the power to act (crucial question to health). The methodological procedures were carried out through a process of cartographic research-intervention, where the researcher and those being researched placed themselves as co-analysts of work situations. The devices used as a research method were the field diary, where much of the researcher's voice and research movements are found, observations, document analysis, monitoring of concrete work situations and organization of collective spaces for discussion and analysis of activity in the socio-educational context, in which the Instruction to the Double was also practiced. The analyzes produced made it possible to explore, among the day-to-day management of work processes, peculiarities of the dynamic expansion-constraint of the power to act in and through Socio-educational work, arguing that taking care of the health of socio-educational agents through the care of the work, opens perspectives for the establishment of ethical relations between the expansion of the power to act in the work of socioeducation

Leveraging Previous Facial Action Units Knowledge for Emotion Recognition on Faces

People naturally understand emotions, thus permitting a machine to do the same could open new paths for human-computer interaction. Facial expressions can be very useful for emotion recognition techniques, as these are the biggest transmitters of non-verbal cues capable of being correlated with emotions. Several techniques are based on Convolutional Neural Networks (CNNs) to extract information in a machine learning process. However, simple CNNs are not always sufficient to locate points of interest on the face that can be correlated with emotions. In this work, we intend to expand the capacity of emotion recognition techniques by proposing the usage of Facial Action Units (AUs) recognition techniques to recognize emotions. This recognition will be based on the Facial Action Coding System (FACS) and computed by a machine learning system. In particular, our method expands over EmotiRAM, an approach for multi-cue emotion recognition, in which we improve over their facial encoding module

High-Level Synthesis Hardware Design for FPGA-Based Accelerators: Models, Methodologies, and Frameworks

Hardware accelerators based on field programmable gate array (FPGA) and system on chip (SoC) devices have gained attention in recent years. One of the main reasons is that these devices contain reconfigurable logic, which makes them feasible for boosting the performance of applications. High-level synthesis (HLS) tools facilitate the creation of FPGA code from a high level of abstraction using different directives to obtain an optimized hardware design based on performance metrics. However, the complexity of the design space depends on different factors such as the number of directives used in the source code, the available resources in the device, and the clock frequency. Design space exploration (DSE) techniques comprise the evaluation of multiple implementations with different combinations of directives to obtain a design with a good compromise between different metrics. This paper presents a survey of models, methodologies, and frameworks proposed for metric estimation, FPGA-based DSE, and power consumption estimation on FPGA/SoC. The main features, limitations, and trade-offs of these approaches are described. We also present the integration of existing models and frameworks in diverse research areas and identify the different challenges to be addressed

High-level context representation for emotion recognition in images

Emotion recognition is the task of classifying perceived emotions in people. Previous works have utilized various nonverbal cues to extract features from images and correlate them to emotions. Of these cues, situational context is particularly crucial in emotion perception since it can directly influence the emotion of a person. In this paper, we propose an approach for high-level context representation extraction from images. The model relies on a single cue and a single encoding stream to correlate this representation with emotions. Our model competes with the state-of-the-art, achieving an mAP of 0.3002 on the EMOTIC dataset while also being capable of execution on consumer-grade hardware at ≈ 90 frames per second. Overall, our approach is more efficient than previous models and can be easily deployed to address real-world problems related to emotion recognition.</p

Ensemble Model Compression for~Fast and~Energy-Efficient Ranking on~{FPGAs}

We investigate novel SoC-FPGA solutions for fast and energy-efficient ranking based on machine-learned ensembles of decision trees. Since the memory footprint of ranking ensembles limits the effective exploitation of programmable logic for large-scale inference tasks, we investigate binning and quantization techniques to reduce the memory occupation of the learned model and we optimize the state-of-the-art ensemble-traversal algorithm for deployment on low-cost, energy-efficient FPGA devices. The results of the experiments conducted using publicly available Learning-to-Rank datasets, show that our model compression techniques do not impact significantly the accuracy. Moreover, the reduced space requirements allow the models and the logic to be replicated on the FPGA device in order to execute several inference tasks in parallel. We discuss in details the experimental settings and the feasibility of the deployment of the proposed solution in a real setting. The results of the experiments conducted show that our FPGA solution achieves performances at the state of the art and consumes from 9x up to 19.8x less energy than an equivalent multi-threaded CPU implementation