Inibição temporária do crescimento de plantas voluntárias de soja na cultura do girassol.

RESUMO: O controle de plantas voluntárias de soja (Glycine max ) é uma exigência estabelecida em lei. A criação do vazio sanitário determina o período na entressafra no qual não deve haver a presença no campo de plantas emergidas de soja. Essa deliberação visa reduzir o inóculo do fungo causador da ferrugem asiática da soja (Phakopsora pachyrhizi). Além disso, a competição imposta por essas plantas pode reduzir a produtividade das culturas em sucessão. O experimento foi conduzido a fim de avaliar o controle de plantas voluntárias de soja em cultivos de girassol (Helianthus annuus). Os tratamentos aplicados foram: testemunha capinada, testemunha sem capina, amônio glufosinato 40 g i.a. ha-1, amônio glufosinato 100 g i.a. ha-1, sulfentrazone 75 g i.a. ha-1, sulfentrazone 100 g i.a. ha-1, tembotrione 21 g i.a. ha-1, carfentrazone 4 g i.a. ha-1, saflufenacil 1,75 g i.a. ha-1, saflufenacil 3,5 g i.a. ha-1, triclopyr 120 g i.a. ha-1 e MSMA 197,5 g i.a. ha-1. O herbicida sulfentrazone nas doses de 75 e 100 g i.a. ha -1 causa fitotoxicidade ao girassol logo após a aplicação, porém há recuperação das plantas, sem prejuízo a produtividade da cultura. Esses mesmos tratamentos não causam morte total das plantas voluntárias de soja, mas paralisam temporariamente seu crescimento, evitando a competição com a cultura do girassol. O amônio glufosinato é eficaz no controle de plantas voluntárias de soja. No entanto, os sintomas de fitotoxicidade na cultura do girassol são elevados, refletindo em perda de rendimento da cultura. Os outros tratamentos não proporcionam controle satisfatório das plantas voluntárias de soja, além de causar redução na produtividade do girassol. ABSTRACT: The control of volunteer soybean (Glycine max) is regulated by law due to the host-free period which determines the interval that is not allowed the presence of soybean plants in fields. The decision aims to reduce the inoculum of the fungus that causes the Asian soybean rust (Phakopsora pachyrhizi). Furthermore, the competition imposed by volunteer soybean plants can reduce crop yields. The experiment was conducted to evaluate the control of volunteer soybean plants in sunflower (Helianthus annuus). The treatments were as follows: hoed check, check without hoeing, glufosinate ammonium 40 g ai ha-1, glufosinate ammonium 100 g ai ha-1, sulfentrazone 75 g ai ha-1, sulfentrazone 100 g ai ha-1, tembotrione 21 g ai ha-1, carfentrazone 4g ai ha-1, saflufenacil 1.75 g ai ha-1, saflufenacil 3.5 g ai ha -1, triclopyr 120 g ai ha-1 and MSMA 197.5 g ai ha-1. Sulfentrazone (75 and 100 g ai ha-1) caused phytotoxicity on sunflower plants, however there is recovery of plants and no yield losses. The same treatments do not cause the total death of volunteer soybean plants, however temporarily paralyze its growth and avoid competition with the sunflower crop. The glufosinate ammonium is effective in controlling volunteer soybean plants. However, symptoms of phytotoxicity in the sunflower crop are high, reflecting in yield losses. The other treatments do not provide satisfactory control of volunteer soybean plants and even cause reduction in sunflower productivity.

Developing a toolkit for assessing the impact of health library services on patient care

Urquhart,C., Spink, S., Thomas, R. & Weightman, A. (2007). Developing a toolkit for assessing the impact of health library services on patient care. Report to LKDN (Libraries and Knowledge Development Network). Aberystwyth: Department of Information Studies, Aberystwyth University. Sponsorship: Libraries and Knowledge Development Network/ NHS

Monitorização remota de pacientes em ambulatório

Dissertação apresentada à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Engenharia Informática, ramo de Computação Móvel

Stresse Profissional. Consumo de Bebidas Alcoólicas

Tese de Doutoramento apresentada à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Doutor em Ciências Sociais.

Estudo de hábitos de higiene oral em crianças da Escola do 1º ciclo com Jardim de Infância de Sousel

Monografia apresentada à Universidade Fernando Pessoa para obtenção do grau de Licenciada em Medicina Dentária

O processo de consumo de e-books

Dissertação apresentada à Universidade Fernando Pessoa como parte dos requisitos para a obtenção do grau de Mestre em Ciências da Comunicação, ramo de Marketing e Publicidade

Contributo para o desenvolvimento de um Instrumento de Investigação Neuropsicológica

Tese apresentada à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Doutor em Ciências Sociais, especialidade em Psicologia

Estudo da prevalência das alterações biológicas e mecânicas associadas à reabilitação com prótese parcial removível nas clínicas pedagógicas de Medicina Dentária da FCS-UFP

Projeto de Pós-Graduação/Dissertação apresentado à Universidade Fernando Pessoa como parte dos requisitos para obtenção do grau de Mestre em Medicina Dentária

Robust Tracking of Human Motion

This technical report presents a combined solution for two problems, one: tracking objects in 3D space and estimating their trajectories and second: computing the similarity between previously estimated trajectories and clustering them using the similarities that we just computed. For the first part, trajectories are estimated using an EKF formulation that will provide the 3D trajectory up to a constant. To improve accuracy, when occlusions appear, multiple hypotheses are followed. For the second problem we compute the distances between trajectories using a similarity based on LCSS formulation. Similarities are computed between projections of trajectories on coordinate axes. Finally we group trajectories together based on previously computed distances, using a clustering algorithm. To check the validity of our approach, several experiments using real data were performed.

Extraction and Clustering of Motion Trajectories in Video

A system is described that tracks moving objects in a video dataset so as to extract a representation of the objects' 3D trajectories. The system then finds hierarchical clusters of similar trajectories in the video dataset. Objects' motion trajectories are extracted via an EKF formulation that provides each object's 3D trajectory up to a constant factor. To increase accuracy when occlusions occur, multiple tracking hypotheses are followed. For trajectory-based clustering and retrieval, a modified version of edit distance, called longest common subsequence (LCSS) is employed. Similarities are computed between projections of trajectories on coordinate axes. Trajectories are grouped based, using an agglomerative clustering algorithm. To check the validity of the approach, experiments using real data were performed.

Principles of Safe Policy Routing Dynamics

We introduce the Dynamic Policy Routing (DPR) model that captures the propagation of route updates under arbitrary changes in topology or path preferences. DPR introduces the notion of causation chains where the route flap at one node causes a flap at the next node along the chain. Using DPR, we model the Gao-Rexford (economic) guidelines that guarantee the safety (i.e., convergence) of policy routing. We establish three principles of safe policy routing dynamics. The non-interference principle provides insight into which ASes can directly induce route changes in one another. The single cycle principle and the multi-tiered cycle principle provide insight into how cycles of routing updates can manifest in any network. We develop INTERFERENCEBEAT, a distributed algorithm that propagates a small token along causation chains to check adherence to these principles. To enhance the diagnosis power of INTERFERENCEBEAT, we model four violations of the Gao-Rexford guidelines (e.g., transiting between peers) and characterize the resulting dynamics.

Wearable wireless inertial measurement for sports applications

A wearable WIMU (Wireless Inertial Measurement Unit) [1] system for sports applications based on Tyndall's 25mm mote technology [2] has been developed to identify tennis performance determining factors, giving coaches & players improved feedback [3, 4]. Multiple WIMUs transmit player motion data to a PC/laptop via a receiver unit. Internally the WIMUs consist of: an IMU layer with MEMS based sensors; a microcontroller/transceiver layer; and an interconnect layer with supplemental 70g accelerometers and a lithium-ion battery. Packaging consists of a robust ABS plastic case with internal padding, a power switch, battery charging port and status LED with Velcro-elastic straps that are used to attach the device to the player. This offers protection from impact, sweat, and movement of sensors which could cause degradation in device performance. In addition, an important requirement for this device is that it needs to be lightweight and comfortable to wear. Calibration ensures that misalignment of the accelerometer and magnetometer axes are accounted for, allowing more accurate measurements to be made.

A miniaturised arrow ballistic measurement system

A novel miniaturised system for measurement of the in-flight characteristics of an arrow is introduced in this paper. The system allows the user to measure in-flight parameters such as the arrow’s speed, kinetic energy and momentum, arrow drag and vibrations of the arrow shaft. The system consists of electronics, namely a three axis accelerometer, shock switch, microcontroller and EEPROM memory embedded in the arrow tip. The system also includes a docking station for download and processing of in-flight ballistic data from the tip to provide the measured values. With this system, a user can evaluate and optimize their archery equipment setup based on measured ballistic values. Recent test results taken at NIST show the accuracy of the launch velocities to be within +/- 0.59%, when compared with NIST’s most accurate ballistic chronograph.

Modular average case analysis: Language implementation and extension

Motivated by accurate average-case analysis, MOdular Quantitative Analysis (MOQA) is developed at the Centre for Efficiency Oriented Languages (CEOL). In essence, MOQA allows the programmer to determine the average running time of a broad class of programmes directly from the code in a (semi-)automated way. The MOQA approach has the property of randomness preservation which means that applying any operation to a random structure, results in an output isomorphic to one or more random structures, which is key to systematic timing. Based on original MOQA research, we discuss the design and implementation of a new domain specific scripting language based on randomness preserving operations and random structures. It is designed to facilitate compositional timing by systematically tracking the distributions of inputs and outputs. The notion of a labelled partial order (LPO) is the basic data type in the language. The programmer uses built-in MOQA operations together with restricted control flow statements to design MOQA programs. This MOQA language is formally specified both syntactically and semantically in this thesis. A practical language interpreter implementation is provided and discussed. By analysing new algorithms and data restructuring operations, we demonstrate the wide applicability of the MOQA approach. Also we extend MOQA theory to a number of other domains besides average-case analysis. We show the strong connection between MOQA and parallel computing, reversible computing and data entropy analysis.

Automatic detection of learner-style for adaptive eLearning

The advent of modern wireless technologies has seen a shift in focus towards the design and development of educational systems for deployment through mobile devices. The use of mobile phones, tablets and Personal Digital Assistants (PDAs) is steadily growing across the educational sector as a whole. Mobile learning (mLearning) systems developed for deployment on such devices hold great significance for the future of education. However, mLearning systems must be built around the particular learner’s needs based on both their motivation to learn and subsequent learning outcomes. This thesis investigates how biometric technologies, in particular accelerometer and eye-tracking technologies, could effectively be employed within the development of mobile learning systems to facilitate the needs of individual learners. The creation of personalised learning environments must enable the achievement of improved learning outcomes for users, particularly at an individual level. Therefore consideration is given to individual learning-style differences within the electronic learning (eLearning) space. The overall area of eLearning is considered and areas such as biometric technology and educational psychology are explored for the development of personalised educational systems. This thesis explains the basis of the author’s hypotheses and presents the results of several studies carried out throughout the PhD research period. These results show that both accelerometer and eye-tracking technologies can be employed as an Human Computer Interaction (HCI) method in the detection of student learning-styles to facilitate the provision of automatically adapted eLearning spaces. Finally the author provides recommendations for developers in the creation of adaptive mobile learning systems through the employment of biometric technology as a user interaction tool within mLearning applications. Further research paths are identified and a roadmap for future of research in this area is defined.