Análise da educação ambiental em uma agroindústria: um estudo de caso no município de Guararapes/SP

Pós-graduação em Agronegócio e Desenvolvimento - Tupã

Análise da educação ambiental em uma agroindústria: um estudo de caso no município de Guararapes/SP

Pós-graduação em Agronegócio e Desenvolvimento - Tupã

Scientific concepts and public policies: Semiotic-cultural obstacles concerning intergroup and intercultural relationships

I attempt to articulate Jahoda's (2012) critical reflections regarding definitions of culture in recent cross-cultural studies and Moghaddam's (2012) claims of an omnicultural imperative to guide the elaboration of public policies for managing relationships among human groups from different cultural origins. For this, I will approach some aspects of the socio-historical and ontogenetic roots of the notion of culture. The notion of culture and the consequent public policies involving intercultural managing are being transformed as our global society develops. It has been proposed that some ways of dealing with the culture of the other are crucial to achieve awareness in respect of one's own cultural positioning when making science and attempting social interventions. Finally, the experience of Brazilian psychologists working on challenges faced by Amerindians dealing with the national society they live in will be presented as a pioneering work aiming to interfere in the development of public policies ethically concerned with the assurance of cultural integrity of currently marginalized social groups.

Memória operacional fonológica e consciência fonológica em escolares ao final do ciclo I do ensino fundamental

OBJETIVO: Investigar o desempenho de crianças ao final do Ciclo I do Ensino Fundamental em memória operacional fonológica e consciência fonológica, bem como a possível relação entre essas habilidades nesta faixa de escolaridade. MÉTODOS: O grupo de pesquisa foi composto por 29 sujeitos de ambos os gêneros, com média de idade de 10 anos, todos regularmente matriculados no 5º ano do Ensino Fundamental com ausência de alterações de linguagem oral e/ou escrita. Foi realizada a avaliação da memória operacional fonológica com a utilização do Teste de Repetição de Pseudopalavras e, posteriormente, utilizou-se o Instrumento de Avaliação Sequencial - CONFIAS para avaliar a consciência fonológica. RESULTADOS: Os escolares apresentaram desempenho adequado na memória operacional fonológica independente da similaridade da pseudopalavra. Para a consciência fonológica, observou-se desempenho melhor no nível silábico e inferior ao esperado para o nível fonêmico. Apesar de muitos estudos afirmarem a correlação entre a memória operacional fonológica e a consciência fonológica, esta não foi observada nesta amostra. CONCLUSÃO: A ausência de correlação encontrada entre essas habilidades traz reflexões quanto a possíveis fatores extrínsecos que podem influenciar o desempenho em consciência fonológica.

Consciência fonêmica em escolares antes e após oficinas de linguagem

OBJETIVO: Verificar o desempenho de escolares em consciência fonêmica antes e após a realização de oficinas de linguagem. MÉTODOS: Foi realizada a avaliação da consciência fonêmica em 49 escolares do quarto ano do Ensino Fundamental, utilizando a parte dois do teste "Consciência Fonológica - Instrumento de Avaliação Sequencial" (CONFIAS). Os critérios de exclusão no estudo foram: presença de queixas relacionadas ou de indicadores de alterações da audição e/ou visão; presença de distúrbios neurológicos, comportamentais e/ou cognitivos. Foram incluídas no estudo as crianças que participaram das avaliações inicial e final e de, no mínimo 75% dos encontros das oficinas. Conforme desempenho no teste, os escolares foram divididos em três grupos: inicial, intermediário e avançado. Foram realizadas oficinas semanais para estimulação das habilidades fonológicas e fonêmicas, de acordo com o grupo a que pertenciam. Após as cinco oficinas, os escolares passaram por avaliação final idêntica à inicial. RESULTADOS: O desempenho em consciência fonêmica dos escolares de todos os grupos evoluiu de forma significante após a realização das oficinas. O grupo intermediário foi o que apresentou maior evolução na média de acertos. CONCLUSÃO: O desempenho de escolares em consciência fonêmica evolui consideravelmente após a realização de oficinas de linguagem.

Sistemi riconfigurabili a basso consumo per applicazioni di monitoraggio distribuito

The term Ambient Intelligence (AmI) refers to a vision on the future of the information society where smart, electronic environment are sensitive and responsive to the presence of people and their activities (Context awareness). In an ambient intelligence world, devices work in concert to support people in carrying out their everyday life activities, tasks and rituals in an easy, natural way using information and intelligence that is hidden in the network connecting these devices. This promotes the creation of pervasive environments improving the quality of life of the occupants and enhancing the human experience. AmI stems from the convergence of three key technologies: ubiquitous computing, ubiquitous communication and natural interfaces. Ambient intelligent systems are heterogeneous and require an excellent cooperation between several hardware/software technologies and disciplines, including signal processing, networking and protocols, embedded systems, information management, and distributed algorithms. Since a large amount of fixed and mobile sensors embedded is deployed into the environment, the Wireless Sensor Networks is one of the most relevant enabling technologies for AmI. WSN are complex systems made up of a number of sensor nodes which can be deployed in a target area to sense physical phenomena and communicate with other nodes and base stations. These simple devices typically embed a low power computational unit (microcontrollers, FPGAs etc.), a wireless communication unit, one or more sensors and a some form of energy supply (either batteries or energy scavenger modules). WNS promises of revolutionizing the interactions between the real physical worlds and human beings. Low-cost, low-computational power, low energy consumption and small size are characteristics that must be taken into consideration when designing and dealing with WSNs. To fully exploit the potential of distributed sensing approaches, a set of challengesmust be addressed. Sensor nodes are inherently resource-constrained systems with very low power consumption and small size requirements which enables than to reduce the interference on the physical phenomena sensed and to allow easy and low-cost deployment. They have limited processing speed,storage capacity and communication bandwidth that must be efficiently used to increase the degree of local ”understanding” of the observed phenomena. A particular case of sensor nodes are video sensors. This topic holds strong interest for a wide range of contexts such as military, security, robotics and most recently consumer applications. Vision sensors are extremely effective for medium to long-range sensing because vision provides rich information to human operators. However, image sensors generate a huge amount of data, whichmust be heavily processed before it is transmitted due to the scarce bandwidth capability of radio interfaces. In particular, in video-surveillance, it has been shown that source-side compression is mandatory due to limited bandwidth and delay constraints. Moreover, there is an ample opportunity for performing higher-level processing functions, such as object recognition that has the potential to drastically reduce the required bandwidth (e.g. by transmitting compressed images only when something ‘interesting‘ is detected). The energy cost of image processing must however be carefully minimized. Imaging could play and plays an important role in sensing devices for ambient intelligence. Computer vision can for instance be used for recognising persons and objects and recognising behaviour such as illness and rioting. Having a wireless camera as a camera mote opens the way for distributed scene analysis. More eyes see more than one and a camera system that can observe a scene from multiple directions would be able to overcome occlusion problems and could describe objects in their true 3D appearance. In real-time, these approaches are a recently opened field of research. In this thesis we pay attention to the realities of hardware/software technologies and the design needed to realize systems for distributed monitoring, attempting to propose solutions on open issues and filling the gap between AmI scenarios and hardware reality. The physical implementation of an individual wireless node is constrained by three important metrics which are outlined below. Despite that the design of the sensor network and its sensor nodes is strictly application dependent, a number of constraints should almost always be considered. Among them: • Small form factor to reduce nodes intrusiveness. • Low power consumption to reduce battery size and to extend nodes lifetime. • Low cost for a widespread diffusion. These limitations typically result in the adoption of low power, low cost devices such as low powermicrocontrollers with few kilobytes of RAMand tenth of kilobytes of program memory with whomonly simple data processing algorithms can be implemented. However the overall computational power of the WNS can be very large since the network presents a high degree of parallelism that can be exploited through the adoption of ad-hoc techniques. Furthermore through the fusion of information from the dense mesh of sensors even complex phenomena can be monitored. In this dissertation we present our results in building several AmI applications suitable for a WSN implementation. The work can be divided into two main areas:Low Power Video Sensor Node and Video Processing Alghoritm and Multimodal Surveillance . Low Power Video Sensor Nodes and Video Processing Alghoritms In comparison to scalar sensors, such as temperature, pressure, humidity, velocity, and acceleration sensors, vision sensors generate much higher bandwidth data due to the two-dimensional nature of their pixel array. We have tackled all the constraints listed above and have proposed solutions to overcome the current WSNlimits for Video sensor node. We have designed and developed wireless video sensor nodes focusing on the small size and the flexibility of reuse in different applications. The video nodes target a different design point: the portability (on-board power supply, wireless communication), a scanty power budget (500mW),while still providing a prominent level of intelligence, namely sophisticated classification algorithmand high level of reconfigurability. We developed two different video sensor node: The device architecture of the first one is based on a low-cost low-power FPGA+microcontroller system-on-chip. The second one is based on ARM9 processor. Both systems designed within the above mentioned power envelope could operate in a continuous fashion with Li-Polymer battery pack and solar panel. Novel low power low cost video sensor nodes which, in contrast to sensors that just watch the world, are capable of comprehending the perceived information in order to interpret it locally, are presented. Featuring such intelligence, these nodes would be able to cope with such tasks as recognition of unattended bags in airports, persons carrying potentially dangerous objects, etc.,which normally require a human operator. Vision algorithms for object detection, acquisition like human detection with Support Vector Machine (SVM) classification and abandoned/removed object detection are implemented, described and illustrated on real world data. Multimodal surveillance: In several setup the use of wired video cameras may not be possible. For this reason building an energy efficient wireless vision network for monitoring and surveillance is one of the major efforts in the sensor network community. Energy efficiency for wireless smart camera networks is one of the major efforts in distributed monitoring and surveillance community. For this reason, building an energy efficient wireless vision network for monitoring and surveillance is one of the major efforts in the sensor network community. The Pyroelectric Infra-Red (PIR) sensors have been used to extend the lifetime of a solar-powered video sensor node by providing an energy level dependent trigger to the video camera and the wireless module. Such approach has shown to be able to extend node lifetime and possibly result in continuous operation of the node.Being low-cost, passive (thus low-power) and presenting a limited form factor, PIR sensors are well suited for WSN applications. Moreover techniques to have aggressive power management policies are essential for achieving long-termoperating on standalone distributed cameras needed to improve the power consumption. We have used an adaptive controller like Model Predictive Control (MPC) to help the system to improve the performances outperforming naive power management policies.

Schulische Umwelterziehung und Umweltbewußtsein

„Abstract“ Pantring, Heinz Schulische Umwelterziehung und Umweltbewußtsein. Eine empirische Untersuchung zur Umwelterziehung und zum Umweltbewußtsein an Wiesbadener Schulen. Das Ziel der als Fallstudie konzipierten Untersuchung bestand darin, die Wirksamkeit schulischer Umwelterziehung nicht nur auf der Wissens- und Einstellungsdimension des Umweltbewußtseins, sondern vor allen Dingen auf die Dimension des Umwelthandelns im Sinne von „ökologischem Tun“ in Abhängigkeit von manifesten Persönlichkeitsmerkmalen wie Alter, Geschlecht und Dauer des Schulbesuchs zu überprüfen. Diese Überprüfung geschah durch das Angebot an alle Schüler und Lehrer, sich an einer konkreten Umweltaktion - Anlage eines Feuchtbiotops - zu beteiligen. An den Fragebogenerhebungen waren 1821 Schüler der 4., 8. und 12. Klassen aus 19 Wiesbadener Grund- und weiterführenden Schulen beteiligt. Parallel wurden bei den 550 Lehrerinnen und Lehrern, die an den entsprechenden Schulen unterrichteten, unter anderem Ausmaß und Qualität schulischer Umwelterziehung und umweltbezogener Fortbildung sowie Aspekte der Ökologisierung von Schule und Ansichten zum Umweltunterricht erfaßt. Wesentliche Ergebnisse waren: 1) Die zur Zeit praktizierte umweltorientierte Lehrerfortbildung erreicht nur einen geschlossenen Teilnehmerkreis. 2) Eine qualitative Verbesserung des Umweltunterrichtes ist eher auf Privatinitiative, als auf ein umfassendes institutionalisiertes umweltbezogenes Fortbildungsange-bot zurückzuführen. 3) Grundschüler zeigen ein ausgeprägteres Umweltbewußtsein als Schüler weiterführender Schulen. 4) Ein Großteil der in den Grundschulen durch eine intensive Schüler - Lehrer - Interaktion erreichte Motivation für Umweltprobleme und Umweltthemen geht beim Übergang von den Grundschulen zu den weiterführenden Schulen - insbesondere Gymnasien - verloren. Im Alter von 13 - 16 Jahren fallen die Schüler in ein „Motivationsloch“ für Umwelt-erziehung. 5) Schüler zeigen eine deutliche Diskrepanz zwischen verbalem umweltorientierten Engagement und dem faktisch praktizierten „Ökologischen Tun“. 6) Es gibt keinen signifikanten Zusammenhang zwischen der umweltbezogenen Handlungsbereitschaft von Schülern und der Qualität des Umweltunterrichtes. 7) Das bei Schülern allgemein entwickelte Umweltbewußtsein hängt eher mit ihrer Sozialisation in einer umweltbewußteren Zeit als mit den unmittelbaren Anstrengungen der Schule zusammen.

What users think about the differences between caffeine and illicit,prescription stimulants for cognitive enhancement

Pharmacological cognitive enhancement (CE) is a topic of increasing public awareness. In the scientific literature on studentrnuse of CE as a study aid for academic performance enhancement, there are high prevalence rates regarding the use ofrncaffeinated substances (coffee, caffeinated drinks, caffeine tablets) but remarkably lower prevalence rates regarding the usernof illicit/prescription stimulants such as amphetamines or methylphenidate. While the literature considers the reasons andrnmechanisms for these different prevalence rates from a theoretical standpoint, it lacks empirical data to account for healthyrnstudents who use both, caffeine and illicit/prescription stimulants, exclusively for the purpose of CE. Therefore, wernextensively interviewed a sample of 18 healthy university students reporting non-medical use of caffeine as well as illicit/rnprescription stimulants for the purpose of CE in a face-to-face setting about their opinions regarding differences in generalrnand morally-relevant differences between caffeine and stimulant use for CE. 44% of all participants answered that there is arngeneral difference between the use of caffeine and illicit/prescription stimulants for CE, 28% did not differentiate, 28% couldrnnot decide. Furthermore, 39% stated that there is a moral difference, 56% answered that there is no moral difference andrnone participant was not able to comment on moral aspects. Participants came to their judgements by applying threerndimensions: medical, ethical and legal. Weighing the medical, ethical and legal aspects corresponded to the students’rnindividual preferences of substances used for CE. However, their views only partly depicted evidence-based medical aspectsrnand the ethical issues involved. This result shows the need for well-directed and differentiated information to prevent thernpotentially harmful use of illicit or prescription stimulants for CE.

A case report of Clarkson's disease: If you don't know it, you'll miss it

The systemic capillary leak syndrome (SCLS), also known as Clarkson's disease, is a rare disorder characterized by paroxysmal capillary hyperpermeability with a shift of plasma fluid from the intravascular to the interstitial space. A 35-year-old previously healthy woman was admitted with rapidly developing hypovolemic shock syndrome, rhabdomyolysis, and diffuse edema. Laboratory analysis revealed a severe hemoconcentration, renal insufficiency, and paraproteinemia. After exclusion of infection, allergy, burning or drug-induced conditions, the clinical presentation was consistent with the diagnosis of SCLS. Though this is a rare entity, the substantial morbidity and mortality associated with it necessitate the physician's awareness in order to provide timely therapy. This report is meant to enhance awareness of SCLS.

Semantic Methods for Intelligent Distributed Design Environments

Continuous advancements in technology have led to increasingly comprehensive and distributed product development processes while in pursuit of improved products at reduced costs. Information associated with these products is ever changing, and structured frameworks have become integral to managing such fluid information. Ontologies and the Semantic Web have emerged as key alternatives for capturing product knowledge in both a human-readable and computable manner. The primary and conclusive focus of this research is to characterize relationships formed within methodically developed distributed design knowledge frameworks to ultimately provide a pervasive real-time awareness in distributed design processes. Utilizing formal logics in the form of the Semantic Web’s OWL and SWRL, causal relationships are expressed to guide and facilitate knowledge acquisition as well as identify contradictions between knowledge in a knowledge base. To improve the efficiency during both the development and operational phases of these “intelligent” frameworks, a semantic relatedness algorithm is designed specifically to identify and rank underlying relationships within product development processes. After reviewing several semantic relatedness measures, three techniques, including a novel meronomic technique, are combined to create AIERO, the Algorithm for Identifying Engineering Relationships in Ontologies. In determining its applicability and accuracy, AIERO was applied to three separate, independently developed ontologies. The results indicate AIERO is capable of consistently returning relatedness values one would intuitively expect. To assess the effectiveness of AIERO in exposing underlying causal relationships across product development platforms, a case study involving the development of an industry-inspired printed circuit board (PCB) is presented. After instantiating the PCB knowledge base and developing an initial set of rules, FIDOE, the Framework for Intelligent Distributed Ontologies in Engineering, was employed to identify additional causal relationships through extensional relatedness measurements. In a conclusive PCB redesign, the resulting “intelligent” framework demonstrates its ability to pass values between instances, identify inconsistencies amongst instantiated knowledge, and identify conflicting values within product development frameworks. The results highlight how the introduced semantic methods can enhance the current knowledge acquisition, knowledge management, and knowledge validation capabilities of traditional knowledge bases.

Non-coronary atherosclerosis

During the last decades, the clinical and research interest in atherosclerosis has been mostly focused on coronary arteries. After the publications of the European Society Guidelines and AHA/ACC Guidelines on Peripheral artery diseases, and of the Registry REduction in Atherothrombosis for Continued Health Registry, there has been an increased interest in atherosclerosis of the lower extremity arteries and its presence in multifocal disease. However, awareness in the general population and the medical community of non-coronary artery diseases, and of its major prognostic implications remain relatively low. The aim of this general review stemming out of an ESC Working Group on Peripheral Circulation meeting in 2011 is to enhance awareness of this complex disease highlighting the importance of the involvement of atherosclerosis at different levels with respect to clinical presentation, diagnosis, and co-existence of the disease in the distinct arterial territories. We also emphasize the need of an interdisciplinary approach to face the broad and complex spectrum of multifocal disease, and try to propose a series of tentative recommendations and measures to be implemented in non-coronary atherosclerosis.

Comparative release of growth factors from PRP, PRF, and advanced-PRF

OBJECTIVES The use of platelet concentrates has gained increasing awareness in recent years for regenerative procedures in modern dentistry. The aim of the present study was to compare growth factor release over time from platelet-rich plasma (PRP), platelet-rich fibrin (PRF), and a modernized protocol for PRF, advanced-PRF (A-PRF). MATERIALS AND METHODS Eighteen blood samples were collected from six donors (3 samples each for PRP, PRF, and A-PRF). Following preparation, samples were incubated in a plate shaker and assessed for growth factor release at 15 min, 60 min, 8 h, 1 day, 3 days, and 10 days. Thereafter, growth factor release of PDGF-AA, PDGF-AB, PDGF-BB, TGFB1, VEGF, EGF, and IGF was quantified using ELISA. RESULTS The highest reported growth factor released from platelet concentrates was PDGF-AA followed by PDGF-BB, TGFB1, VEGF, and PDGF-AB. In general, following 15-60 min incubation, PRP released significantly higher growth factors when compared to PRF and A-PRF. At later time points up to 10 days, it was routinely found that A-PRF released the highest total growth factors. Furthermore, A-PRF released significantly higher total protein accumulated over a 10-day period when compared to PRP or PRF. CONCLUSION The results from the present study indicate that the various platelet concentrates have quite different release kinetics. The advantage of PRP is the release of significantly higher proteins at earlier time points whereas PRF displayed a continual and steady release of growth factors over a 10-day period. Furthermore, in general, it was observed that the new formulation of PRF (A-PRF) released significantly higher total quantities of growth factors when compared to traditional PRF. CLINICAL RELEVANCE Based on these findings, PRP can be recommended for fast delivery of growth factors whereas A-PRF is better-suited for long-term release.

Decision-Making Mechanism to Organize the Agenda of a Guide-Robot

One of the major challenges in evolutionary robotics is constituted by the need of the robot being able to make decisions on its own, in accordance with the multiple tasks programmed, optimizing its timings and power. In this paper, we present a new automatic decision making mechanism for a robot guide that allows the robot to make the best choice in order to reach its aims, performing its tasks in an optimal way. The election of which is the best alternative is based on a series of criteria and restrictions of the tasks to perform. The software developed in the project has been verified on the tour-guide robot Urbano. The most important aspect of this proposal is that the design uses learning as the means to optimize the quality in the decision making. The modeling of the quality index of the best choice to perform is made using fuzzy logic and it represents the beliefs of the robot, which continue to evolve in order to match the "external reality”. This fuzzy system is used to select the most appropriate set of tasks to perform during the day. With this tool, the tour guide-robot prepares its agenda daily, which satisfies the objectives and restrictions, and it identifies the best task to perform at each moment. This work is part of the ARABOT project of the Intelligent Control Research Group at the Universidad Politécnica de Madrid to create "awareness" in a robot guide.

Metaphor and Genre: An Approach to improve the learning process of English for Aeronautics

This study suggests a theoretical framework for improving the teaching/ learning process of English employed in the Aeronautical discourse that brings together cognitive learning strategies, Genre Analysis and the Contemporary theory of Metaphor (Lakoff and Johnson 1980; Lakoff 1993). It maintains that cognitive strategies such as imagery, deduction, inference and grouping can be enhanced by means of metaphor and genre awareness in the context of content based approach to language learning. A list of image metaphors and conceptual metaphors which comes from the terminological database METACITEC is provided. The metaphorical terms from the area of Aeronautics have been taken from specialised dictionaries and have been categorised according to the conceptual metaphors they respond to, by establishing the source domains and the target domains, as well as the semantic networks found. This information makes reference to the internal mappings underlying the discourse of aeronautics reflected in five aviation accident case studies which are related to accident reports from the National Transportation Safety Board (NTSB) and provides an important source for designing language teaching tasks. La Lingüística Cognitiva y el Análisis del Género han contribuido a la mejora de la enseñanza de segundas lenguas y, en particular, al desarrollo de la competencia lingüística de los alumnos de inglés para fines específicos. Este trabajo pretende perfeccionar los procesos de enseñanza y el aprendizaje del lenguaje empleado en el discurso aeronáutico por medio de la práctica de estrategias cognitivas y prestando atención a la Teoría del análisis del género y a la Teoría contemporánea de la metáfora (Lakoff y Johnson 1980; Lakoff 1993). Con el propósito de crear recursos didácticos en los que se apliquen estrategias metafóricas, se ha elaborado un listado de metáforas de imagen y de metáforas conceptuales proveniente de la base de datos terminológica META-CITEC. Estos términos se han clasificado de acuerdo con las metáforas conceptuales y de imagen existentes en esta área de conocimiento. Para la enseñanza de este lenguaje de especialidad, se proponen las correspondencias y las proyecciones entre el dominio origen y el dominio meta que se han hallado en los informes de accidentes aéreos tomados de la Junta federal de la Seguridad en el Transporte (NTSB)

Leakage-aware cooling management for improving server energy efficiency

The computational and cooling power demands of enterprise servers are increasing at an unsustainable rate. Understanding the relationship between computational power, temperature, leakage, and cooling power is crucial to enable energy-efficient operation at the server and data center levels. This paper develops empirical models to estimate the contributions of static and dynamic power consumption in enterprise servers for a wide range of workloads, and analyzes the interactions between temperature, leakage, and cooling power for various workload allocation policies. We propose a cooling management policy that minimizes the server energy consumption by setting the optimum fan speed during runtime. Our experimental results on a presently shipping enterprise server demonstrate that including leakage awareness in workload and cooling management provides additional energy savings without any impact on performance.