888 resultados para Newton, Willliam


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O objetivo deste trabalho foi desenvolver e testar um protocolo de PCR específico para a amplificação de espécies de bactérias fixadoras de nitrogênio do gênero Paenibacillus, utilizando-se a estratégia de clonagem e sequenciamento do gene nifH. .

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A biotecnologia moderna está gerando um grande número de genes passíveis de serem utilizados para a melhoria genética do milho, e as técnicas de transformação genética de plantas poderão ser empregadas para alterar a funcionalidade in vivo destes genes via complementação, superexpressão ou silenciamento. Progressos expressivos foram conseguidos no desenvolvimento da tecnologia de transformação genética de milho na última década. A transformação genética do milho, considerada por algum tempo problemática, tornou-se, atualmente, um procedimento de rotina para vários genótipos na maioria dos laboratórios públicos e privados trabalhando com esta cultura. Nesta Circular Técnica, serão abordados aspectos da produção e utilização em campo do milho Bt, englobando desde as pesquisas iniciais para o isolamento e caracterização dos genes cry, sua transferência para cultivares de milho via biobalística ou Agrobacterium, sua integração em programas de melhoramento clássico assistido por marcadores moleculares e utilização destas novas cultivares em campo.

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The aim of this thesis was to explore the design of interactive computer learning environments. The particular learning domain selected was Newtonian dynamics. Newtonian dynamics was chosen because it is an important area of physics with which many students have difficulty and because controlling Newtonian motion takes advantage of the computer's graphics and interactive capabilities. The learning environment involved games which simulated the motion of a spaceship on a display screen. The purpose of the games was to focus the students' attention on various aspects of the implications of Newton's laws.

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This thesis investigates what knowledge is necessary to solve mechanics problems. A program NEWTON is described which understands and solves problems in mechanics mini-world of objects moving on surfaces. Facts and equations such as those given in mechanics text need to be represented. However, this is far from sufficient to solve problems. Human problem solvers rely on "common sense" and "qualitative" knowledge which the physics text tacitly assumes to be present. A mechanics problem solver must embody such knowledge. Quantitative knowledge given by equations and more qualitative common sense knowledge are the major research points exposited in this thesis. The major issue in solving problems is planning. Planning involves tentatively outlining a possible path to the solution without actually solving the problem. Such a plan needs to be constructed and debugged in the process of solving the problem. Envisionment, or qualitative simulation of the event, plays a central role in this planning process.

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This paper addresses the problem of efficiently computing the motor torques required to drive a lower-pair kinematic chain (e.g., a typical manipulator arm in free motion, or a mechanical leg in the swing phase) given the desired trajectory; i.e., the Inverse Dynamics problem. It investigates the high degree of parallelism inherent in the computations, and presents two "mathematically exact" formulations especially suited to high-speed, highly parallel implementations using special-purpose hardware or VLSI devices. In principle, the formulations should permit the calculations to run at a speed bounded only by I/O. The first presented is a parallel version of the recent linear Newton-Euler recursive algorithm. The time cost is also linear in the number of joints, but the real-time coefficients are reduced by almost two orders of magnitude. The second formulation reports a new parallel algorithm which shows that it is possible to improve upon the linear time dependency. The real time required to perform the calculations increases only as the [log2] of the number of joints. Either formulation is susceptible to a systolic pipelined architecture in which complete sets of joint torques emerge at successive intervals of four floating-point operations. Hardware requirements necessary to support the algorithm are considered and found not to be excessive, and a VLSI implementation architecture is suggested. We indicate possible applications to incorporating dynamical considerations into trajectory planning, e.g. it may be possible to build an on-line trajectory optimizer.

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Esta publicação apresenta considerações sobee a adoção de sistemas silvipastoris, como alternativa sustentável para as pastagens de Rondônia. Está dividida em: Produção e composição química da forragem e Sistemas de manejo e produção animal.

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http://www.archive.org/details/poorloearlyindia00wyetiala

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http://www.archive.org/details/isaacmccoycarlyi012072mbp

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Neoplastic tissue is typically highly vascularized, contains abnormal concentrations of extracellular proteins (e.g. collagen, proteoglycans) and has a high interstitial fluid pres- sure compared to most normal tissues. These changes result in an overall stiffening typical of most solid tumors. Elasticity Imaging (EI) is a technique which uses imaging systems to measure relative tissue deformation and thus noninvasively infer its mechanical stiffness. Stiffness is recovered from measured deformation by using an appropriate mathematical model and solving an inverse problem. The integration of EI with existing imaging modal- ities can improve their diagnostic and research capabilities. The aim of this work is to develop and evaluate techniques to image and quantify the mechanical properties of soft tissues in three dimensions (3D). To that end, this thesis presents and validates a method by which three dimensional ultrasound images can be used to image and quantify the shear modulus distribution of tissue mimicking phantoms. This work is presented to motivate and justify the use of this elasticity imaging technique in a clinical breast cancer screening study. The imaging methodologies discussed are intended to improve the specificity of mammography practices in general. During the development of these techniques, several issues concerning the accuracy and uniqueness of the result were elucidated. Two new algorithms for 3D EI are designed and characterized in this thesis. The first provides three dimensional motion estimates from ultrasound images of the deforming ma- terial. The novel features include finite element interpolation of the displacement field, inclusion of prior information and the ability to enforce physical constraints. The roles of regularization, mesh resolution and an incompressibility constraint on the accuracy of the measured deformation is quantified. The estimated signal to noise ratio of the measured displacement fields are approximately 1800, 21 and 41 for the axial, lateral and eleva- tional components, respectively. The second algorithm recovers the shear elastic modulus distribution of the deforming material by efficiently solving the three dimensional inverse problem as an optimization problem. This method utilizes finite element interpolations, the adjoint method to evaluate the gradient and a quasi-Newton BFGS method for optimiza- tion. Its novel features include the use of the adjoint method and TVD regularization with piece-wise constant interpolation. A source of non-uniqueness in this inverse problem is identified theoretically, demonstrated computationally, explained physically and overcome practically. Both algorithms were test on ultrasound data of independently characterized tissue mimicking phantoms. The recovered elastic modulus was in all cases within 35% of the reference elastic contrast. Finally, the preliminary application of these techniques to tomosynthesis images showed the feasiblity of imaging an elastic inclusion.

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Gemstone Team Juiced

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Soluciones a los Problemas de los abuelos, estudio de las respuestas a uno de los problemas planteados en el Torneo de Matemáticas para 2º de la ESO de la Sociedad Canaria Isaac Newton de profesores de matemáticas. Actividad de resolución de problemas en una clase de 6º de Primaria.

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La intención de la ponencia está en la dirección de presentar un estudio de las prácticas que ejercen los actores en un diseño de aprendizaje puesto en escena en el aula de matemáticas. El diseño referido se centra, no en los contenidos matemáticos en sí o en las producciones de los participantes, sino en las prácticas sociales ejercidas por los participantes utilizando herramientas y situadas en un contexto social; en este caso las prácticas sociales de modelación del enfriamiento de un líquido. Reportamos la narración de la puesta en escena en el aula de matemáticas de un diseño de aprendizaje basado en prácticas sociales de modelación de fenómenos: “Lo exponencial: la ley de enfriamiento de Newton”. Aquí narramos como los participantes construyen lo exponencial como herramienta al intentar comprender y predecir lo que sucede al enfriarse un líquido.