368 research outputs found

    Enhancing Imagination and Creativity in the Elementary Classroom Through 11 Impossible Children\u27s Books and Related Lesson Plans

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    Not too long ago we believed that it was impossible to send men outside our planets gravitational force, let alone send them to the moon. As adults, we live in a world that believes in two possibilities, those goals that are possible as long as they believe in themselves and find new ways to accomplish each goal they are given. Slowly this thought process is leaving the students minds to make room for the latest information for best practices in formal test taking. There has been a huge decline in our imaginative and creative thinkers due to this overwhelming need as a nation to raise our test scores. I agree that our students need to obtain as much information as possible, but I believe in the impossible. I believe that there is a way to incorporate imaginative and creative thinking into our classrooms today to allow for students to build this idea that their impossible ideas can become possible. I want to challenge our students to be those who believe that it is not so impossible to land on the moon, as long as they can use their imagination, and creativity to solve their problems. To do this, I have used this thesis as a basis for 6 lesson plans based on 11 impossible children’s book. This is to provide teachers with resources that match the standards they are already using and create lifelong imaginers and creative thinkers who can turn the most impossible idea into a reality

    The intrinsic X-ray luminosity distribution of an optically-selected SDSS quasar population

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    In active galactic nuclei, the relationship between UV and X-ray luminosity is well studied (often characterised by αox\alpha_\text{ox}) but often with heterogeneous samples. We have parametrized the intrinsic distribution of X-ray luminosity, LXL_\text{X}, for the optically-selected sample of SDSS quasars in the Stripe 82 and XXL fields across redshifts 0.5-3.5. We make use of the available XMM observations and a custom pipeline to produce Bayesian sensitivity curves that are used to derive the intrinsic X-ray distribution in a hierarchical Bayesian framework. We find that the X-ray luminosity distribution is well described by a Gaussian function in log10LX{\log_{10}}L_\text{X} space with a mean that is dependent on the monochromatic 2500A UV luminosity, L2500L_{2500}. We also observe some redshift dependence of the distribution. The mean of the LXL_\text{X} distribution increases with redshift while the width decreases. This weak but significant redshift dependence leads to L2500L_{2500}-LXL_\text{X} and L2500L_{2500}-αox\alpha_\text{ox} relations that evolve with redshift, and we produce a redshift- and L2500L_{2500}-dependent αox\alpha_\text{ox} equation. Neither black hole mass nor Eddington ratio appear to be potential drivers of the redshift evolution.Comment: 18 pages, 16 figures (including appendices). Accepted for publication in MNRA

    IF Estimation for Multicomponent Signals Using Image Processing Techniques in the Time-Frequency Domain

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    This paper presents a method for estimating the instantaneous frequency (IF) of multicomponent signals. The technique involves, firstly, the transformation of the one dimensional signal to the two dimensional time-frequency domain using a reduced interference quadratic time-frequency distribution. IF estimation of signal components is then achieved by implementing two image processing steps: local peak detection of the time--frequency (TF) representation followed by an image processing technique called component linking. The proposed IF estimator is tested on noisy synthetic monocomponent and multicomponent signals exhibiting linear and nonlinear laws. For low signal to noise ratio (SNR) environments, a time-frequency peak filtering preprocessing step is used for signal enhancement. Application of the IF estimation scheme to real signals is illustrated with newborn EEG signals. Finally, to illustrate the potential use of the proposed IF estimation method in classifying signals based on their TF components' IFs, a classification method using least squares data-fitting is proposed and illustrated on synthetic and real signals

    Power : Three Women Painters

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    Power : Three Women Painters Catalogue of exhibition of works by Lisa Anderson, Judith Alexandrovics and Pie Rankine Essay by Marion Hardma

    New developments in imaging idiopathic pulmonary fibrosis with hyperpolarized xenon magnetic resonance imaging

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    Idiopathic pulmonary fibrosis (IPF) is a progressive pulmonary disease that is ultimately fatal. Although the diagnosis of IPF has been revolutionized by high-resolution computed tomography, this imaging modality still exhibits significant limitations, particularly in assessing disease progression and therapy response. The need for noninvasive regional assessment has become more acute in light of recently introduced novel therapies and numerous others in the pipeline. Thus, it will likely be valuable to complement 3-dimensional imaging of lung structure with 3-dimensional regional assessment of function. This challenge is well addressed by hyperpolarized (HP) Xe magnetic resonance imaging (MRI), exploiting the unique properties of this inert gas to image its distribution, not only in the airspaces, but also in the interstitial barrier tissues and red blood cells. This single-breath imaging exam could ultimately become the ideal, noninvasive tool to assess pulmonary gas-exchange impairment in IPF. This review article will detail the evolution of HP Xe MRI from its early development to its current state as a clinical research platform. It will detail the key imaging biomarkers that can be generated from the Xe MRI examination, as well as their potential in IPF for diagnosis, prognosis, and assessment of therapeutic response. We conclude by discussing the types of studies that must be performed for HP Xe MRI to be incorporated into the IPF clinical algorithm and begin to positively impact IPF disease diagnosis and management

    Direct Experimental Observation of in situ Dehydrogenation of an Amine-Borane System Using Gas Electron Diffraction

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    In situ dehydrogenation of azetidine-BH3, which is a candidate for hydrogen storage, was observed with the parent and dehydrogenated analogue subjected to rigorous structural and thermochemical investigations. The structural analyses utilized gas electron diffraction supported by high-level quantum calculations, while the pathway for the unimolecular hydrogen release reaction in the absence and presence of BH3 as a bifunctional catalyst was predicted at the CBS-QB3 level. The catalyzed dehydrogenation pathway has a barrier lower than the predicted B-N bond dissociation energy, hence favoring the dehydrogenation process over the dissociation of the complex. The predicted enthalpy of dehydrogenation at the CCSD(T)/CBS level indicates that mild reaction conditions would be required for hydrogen release and that the compound is closer to thermoneutral than linear amine boranes. The entropy and free energy change for the dehydrogenation process show that the reaction is exergonic, energetically feasible, and will proceed spontaneously toward hydrogen release, all of which are important factors for hydrogen storage

    Experimental and Computational Investigation for In-Line Boundary Layer Ingestion

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    The aerodynamic characteristics of an aft-body, in-line mounted, boundary layer ingesting, electric ducted fan, propulsion installation system has been investigated through experimental and computational analysis. A modular wind-tunnel model allows variation in the geometry of the propulsion installation system to be assessed, in combination with fan speed. Various experimental measurement techniques, including LDA, seven-hole-probe and surface pressures are employed. The propulsion installation system has also been investigated using RANS CFD and comparison with experimental data is presented. An investigation of the boundary conditions for efficiently representing the fan in CFD is described. Initial results show reasonably good agreement between CFD and experiment, in terms of velocity profiles and surface pressures, but highlight remaining differences for cases exhibiting flow separation
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