Advanced automation for space missions : proceedings of the 1980 NASA/ASEE Summer Study /

Includes bibliographies.

Space programs summary

Mode of access: Internet.

NASA's space science and applications program : a statement presented to the Committee on Aeronautical and Space Sciences, United States Senate, April 20, 1967 /

"The material in this booklet is a reprint of a portion of that which was prepared by NASA's Office of Space Science and Applications for presentation to the Congress."

Magnetic helicity as a constraint on coronal dissipation

The Taylor hypothesis has provided a model for the relaxed magnetic configurations of not only laboratory plasmas, but also of astrophysical plasmas. However, energy dissipation is possible only for systems which depart from a strict Taylor state, and hence a parameter describing that departure must be introduced, when the Taylor hypothesis is used to estimate the dissipation. An application of the Taylor hypothesis to the problem of coronal heating provides an insight into this difficult problem. When particular sorts of footpoint motions put energy and helicity in the corona, the conservation of helicity puts a constraint on how much of the energy can be dissipated. However, on considering a random distribution of footpoint motions, this constraint gets washed away, and the Taylor hypothesis is probably not going to play any significant role in the actual calculation of relevant physical quantities in the coronal heating problem.

Modeling of Surface UV Radiation Using Satellite Data

Solar UV radiation is harmful for life on planet Earth, but fortunately the atmospheric oxygen and ozone absorb almost entirely the most energetic UVC radiation photons. However, part of the UVB radiation and much of the UVA radiation reaches the surface of the Earth, and affect human health, environment, materials and drive atmospheric and aquatic photochemical processes. In order to quantify these effects and processes there is a need for ground-based UV measurements and radiative transfer modeling to estimate the amounts of UV radiation reaching the biosphere. Satellite measurements with their near-global spatial coverage and long-term data conti-nuity offer an attractive option for estimation of the surface UV radiation. This work focuses on radiative transfer theory based methods used for estimation of the UV radiation reaching the surface of the Earth. The objectives of the thesis were to implement the surface UV algorithm originally developed at NASA Goddard Space Flight Center for estimation of the surface UV irradiance from the meas-urements of the Dutch-Finnish built Ozone Monitoring Instrument (OMI), to improve the original surface UV algorithm especially in relation with snow cover, to validate the OMI-derived daily surface UV doses against ground-based measurements, and to demonstrate how the satellite-derived surface UV data can be used to study the effects of the UV radiation. The thesis consists of seven original papers and a summary. The summary includes an introduction of the OMI instrument, a review of the methods used for modeling of the surface UV using satellite data as well as the con-clusions of the main results of the original papers. The first two papers describe the algorithm used for estimation of the surface UV amounts from the OMI measurements as well as the unique Very Fast Delivery processing system developed for processing of the OMI data received at the Sodankylä satellite data centre. The third and the fourth papers present algorithm improvements related to the surface UV albedo of the snow-covered land. Fifth paper presents the results of the comparison of the OMI-derived daily erythemal doses with those calculated from the ground-based measurement data. It gives an estimate of the expected accuracy of the OMI-derived sur-face UV doses for various atmospheric and other conditions, and discusses the causes of the differences between the satellite-derived and ground-based data. The last two papers demonstrate the use of the satellite-derived sur-face UV data. Sixth paper presents an assessment of the photochemical decomposition rates in aquatic environment. Seventh paper presents use of satellite-derived daily surface UV doses for planning of the outdoor material weathering tests.

Additive effect of zoledronic acid and alfacalcidol in the treatment of disuse osteoporosis in rats

Objectives: Disuse by bed rest, limb immobilization or space flight causes rapid bone loss. We conducted the present study to investigate the therapeutic effects of zoledronic acid (ZOL), alone and in combination with alfacalcidol (ALP) in a rat model of disuse osteoporosis. Methods: In the present study, 3-month-old male Wistar rats had their right hind-limb immobilized (RHLI) for 10 weeks to induce osteopenia, then were divided into four groups: 1 - RHLI positive control; 2 - RHLI plus ZOL (50 mu g/kg, i.v. single dose); 3 - RHLI plus ALP (0.5 mu g/kg, oral gauge daily); 4- RHLI plus ALP (0.5 mu g/kg, oral gauge daily) plus ZOL (50 mu g/kg, i.v. single dose) for another 10 weeks. One group of non-immobilized rats was used as negative control. At the end of the treatment, the femurs were removed and tested for bone porosity, bone mechanical properties, and bone dry and ash weight. Results: Combination therapy with ZOL plus ALP was more effective in decreasing bone porosity than each drug administered as monotherapy in RHLI rats. With respect to improvement in the mechanical strength of the femoral mid-shaft, the combination treatment of ZOL plus ALP was more effective than each drug administered as a monotherapy. Moreover, combination therapy using ZOL plus ALF was more effective in improving dry bone and ash weight, than single-drug therapy using ZOL or ALP in RHLI rats. Conclusions: These data suggest that combination therapy with ZOL plus ALP represents a potentially useful therapeutic option for the treatment of disuse osteoporosis. (C) 2014 Elsevier Editora Ltda. All rights reserved.

Bubble Dynamics In Nucleate Pool Boiling On Thin Wires In Microgravity

A temperature-controlled pool boiling (TCPB) device has been developed to study the bubble behavior and heat transfer in pool boiling phenomenon both in normal gravity and in microgravity. A thin platinum wire of 60 mu m in diameter and 30 mm in length is simultaneously used as heater and thermometer. The fluid is R113 at 0.1 MPa and subcooled by 26 degrees C nominally for all cases. Three modes of heat transfer, namely single-phase natural convection, nucleate boiling, and two-mode transition boiling, are observed in the experiment both in microgravity aboard the 22nd Chinese recoverable satellite and in normal gravity on the ground before and after the space flight. Dynamic behaviors of vapor bubbles observed in these experiments are reported and analyzed in the present paper. In the regime of fully developed nucleate boiling, the interface oscillation due to coalescence of adjacent tiny bubbles is the primary reason of the departure of bubbles in microgravity. On the contrary, in the discrete bubble regime, it's observed that there exist three critical bubble diameters in microgravity, dividing the whole range of the observed bubbles into four regimes. Firstly, tiny bubbles are continually forming and growing on the heating surface before departing slowly from the wire when their sizes exceed some value of the order of 10(-1) mm. The bigger bubbles with about several millimeters in diameter stay on the wire, oscillate along the wire, and coalesce with adjacent bubbles. The biggest bubble with diameter of the order of 10 mm, which was formed immediately after the onset of boiling, stays continuously

Evaluation of the Photometrics CH250 CCD Camera for use in the NOAA/MLML Marine Optics System

This report summarizes initial work to incorporate Photometries CH250 charge-coupled device (CCD) detectors in the NOAAIMLML Marine Optics System (MOS). The MOS spectroradiometer will be used primarily in the Marine Optics Buoy (MOBY) to surface truth the ocean color satellite, SeaWiFS, scheduled for launch later this year. This work was funded through Contract NAS5-31746 to NASA, Goddard Space Flight Center. (PDF contains 24 pages)

Além da Linha Vermelha: um estudo sobre a formação de professores em Física, Química e Matemática na interface das políticas públicas e do mundo do trabalho

Esta pesquisa realiza um estudo sobre a formação de professores em Física, Química e Matemática na dimensão das políticas públicas educacionais e das novas ordenações do mundo produtivo. O eixo metodológico investe na abordagem qualitativa, elegendo como campo empírico o Instituto de Educação, Ciência e Tecnologia do Rio de Janeiro (IFRJ), mais especificamente, o campus Nilópolis, localizado na região da Baixada Fluminense (recorte geopolítico), no Estado do Rio de Janeiro. A técnica de pesquisa baseou-se na realização de entrevistas com licenciandos cujo perfil compreende àquele que tenha realizado atividades de estágio docente. Esta escolha justifica-se por ser este o perfil de estudante mais próximo do término do curso e que, principalmente, através desta experiência, apresenta concepções, ainda que iniciais, da realidade da educação básica. Este estudo investiu na história dos sujeitos participantes através de seus respectivos relatos, onde foi possível categorizá-los em importantes aspectos que se interconectam: 1) na análise das políticas públicas para a educação superior a partir da ênfase na investigação de como estas se efetivam em uma territorialidade e no contexto de uma nova institucionalidade; 2) na reflexão sobre o impacto das transformações do mundo do trabalho na subjetividade dos licenciandos, engendrando a possível atividade docente no cenário de crise de identidades profissionais; e 3) no exame da realidade das escolas da educação básica, espaço onde a formação se destina. Este caminho permitiu refletir sobre o lugar do magistério nas escolhas de formação e nas perspectivas profissionais.

First principles interatomic potential for tungsten based on Gaussian process regression

An accurate description of atomic interactions, such as that provided by first principles quantum mechanics, is fundamental to realistic prediction of the properties that govern plasticity, fracture or crack propagation in metals. However, the computational complexity associated with modern schemes explicitly based on quantum mechanics limits their applications to systems of a few hundreds of atoms at most. This thesis investigates the application of the Gaussian Approximation Potential (GAP) scheme to atomistic modelling of tungsten - a bcc transition metal which exhibits a brittle-to-ductile transition and whose plasticity behaviour is controlled by the properties of $\frac{1}{2} \langle 111 \rangle$ screw dislocations. We apply Gaussian process regression to interpolate the quantum-mechanical (QM) potential energy surface from a set of points in atomic configuration space. Our training data is based on QM information that is computed directly using density functional theory (DFT). To perform the fitting, we represent atomic environments using a set of rotationally, permutationally and reflection invariant parameters which act as the independent variables in our equations of non-parametric, non-linear regression. We develop a protocol for generating GAP models capable of describing lattice defects in metals by building a series of interatomic potentials for tungsten. We then demonstrate that a GAP potential based on a Smooth Overlap of Atomic Positions (SOAP) covariance function provides a description of the $\frac{1}{2} \langle 111 \rangle$ screw dislocation that is in agreement with the DFT model. We use this potential to simulate the mobility of $\frac{1}{2} \langle 111 \rangle$ screw dislocations by computing the Peierls barrier and model dislocation-vacancy interactions to QM accuracy in a system containing more than 100,000 atoms.

Cancer subtypes recognition and its gene expression profiles analysis based on geometrical learning

The accurate recognition of cancer subtypes is very significant in clinic. Especially, the DNA microarray gene expression technology is applied to diagnosing and recognizing cancer types. This paper proposed a method of that recognized cancer subtypes based on geometrical learning. Firstly, the cancer genes expression profiles data was pretreated and selected feature genes by conventional method; then the expression data of feature genes in the training samples was construed each convex hull in the high-dimensional space using training algorithm of geometrical learning, while the independent test set was tested by the recognition algorithm of geometrical learning. The method was applied to the human acute leukemia gene expression data. The accuracy rate reached to 100%. The experiments have proved its efficiency and feasibility.

A Fast Algorithm for Sparse Support Vector Machines for Mobile Computing Applications

This research presents a fast algorithm for projected support vector machines (PSVM) by selecting a basis vector set (BVS) for the kernel-induced feature space, the training points are projected onto the subspace spanned by the selected BVS. A standard linear support vector machine (SVM) is then produced in the subspace with the projected training points. As the dimension of the subspace is determined by the size of the selected basis vector set, the size of the produced SVM expansion can be specified. A two-stage algorithm is derived which selects and refines the basis vector set achieving a locally optimal model. The model expansion coefficients and bias are updated recursively for increase and decrease in the basis set and support vector set. The condition for a point to be classed as outside the current basis vector and selected as a new basis vector is derived and embedded in the recursive procedure. This guarantees the linear independence of the produced basis set. The proposed algorithm is tested and compared with an existing sparse primal SVM (SpSVM) and a standard SVM (LibSVM) on seven public benchmark classification problems. Our new algorithm is designed for use in the application area of human activity recognition using smart devices and embedded sensors where their sometimes limited memory and processing resources must be exploited to the full and the more robust and accurate the classification the more satisfied the user. Experimental results demonstrate the effectiveness and efficiency of the proposed algorithm. This work builds upon a previously published algorithm specifically created for activity recognition within mobile applications for the EU Haptimap project [1]. The algorithms detailed in this paper are more memory and resource efficient making them suitable for use with bigger data sets and more easily trained SVMs.

A prática pedagógica nos “descaminhos” do ensino da língua portuguesa : a formação do leitor para uma vida inteira

O presente trabalho procurou abordar as práticas de leitura desenvolvidas no ensino médio nas aulas de Língua Portuguesa na rede pública estadual de Quipapá-PE, tendo como questão norteadora: a origem do insucesso da formação leitora está focalizada nos educandos ou n ausência de uma ação potencializadora de um educador leitor? Nessa perspectiva, no decorrer deste estudo, são debatidas algumas concepções teóricas e metodológicas que propõem uma reflexão sobre as relações que estruturam as práticas pedagógicas, sugerindo o redimensionamento dos saberes docentes dos professores de Língua Portuguesa e das práticas de leitura. Apontando multiplicidade de fatores envolvidos que dificultam, mas não impossibilitam a necessária adesão à perspectiva de linguagem textual- interacionista como subsídio na libertação do professor de Língua Portuguesa do seu aprisionamento à tradição metodológica do ensino de gramática, em detrimento as atividades de leitura no cotidiano escolar. Posto que a escola como espaço privilegiado para formação de leitores, não tem correspondido às demandas sociais, nem esta tem estado, tem sido priorizada na ação educativa. Visto que a esses profissionais, por vezes, falta clareza a respeito da concepção de linguagem que norteia seu fazer pedagógico, derivado das lacunas em sua formação acadêmica, que resultam em contradições, conflitos, rupturas e permanências, contribuindo para uma visão contraditória das concepções construídas a respeito do seu papel como professor de língua materna. Usamos como aporte teórico as contribuições advindas da linguística aplicada, com base na perspectiva sócio interacionista da linguagem. Do ponto de vista metodológico, optamos pela pesquisa quantitativa e qualitativa com aplicação de questionários aos alunos, itens apresentados sob a modalidade Likert, bem como entrevistas aos professores. Contudo, com a análise, nos veio à confirmação de que no modelo de ensino vigente, a leitura como processo de interação e sentido, não está totalmente efetivada na ação docente, pois as atividades de gramática têm predominado; relegando ao segundo plano a formação do leitor crítico. Em razão disso, coloca-se a questão da aprendizagem do professor que, enquanto sujeito singular que possui uma história de vida, aprende e reconstrói seus saberes na experiência, podendo a partir de novos conhecimentos, para os quais intentamos contribuir, aderir a essa perspectiva teórica. Diante desse contexto apresentado, acreditamos que essa pesquisa pode trazer uma importante contribuição para despertar estes profissionais sobre o tratamento que deve ser dado a leitura por todos os professores, dada a importância decisiva para a formação e o exercício efetivo da cidadania.

The effects of gravity on the development of otolith organs in the Japanese quail

This paper examines the detailed embryologic development of the otolith organs, part of the vestibular system responsible for balance, in Japanese quail. The data from this study will provide baseline data for comparison with experiments conducted by NASA during space flight.