Teacher Experiences With Credit-Related Finance Education

Recent financial problems have highlighted the portion of financial literacy classes related to credit and spending. The recent bursting of the real estate asset bubble and the ongoing economic crisis framed the research question for this study regarding the experiences of social studies and business teachers in teaching coursework in credit-related finance management. The purpose of this study was to understand teacher experiences in the classroom that involved teaching financial information related to consumer credit. The study was based on the theoretical foundations of constructivism and a synthesis of related economic and educational thought. A qualitative, constructivist, and interpretive case study was conducted using interviews with and observations of 6 business and 3 economics teachers. The results were horizontalized and then inductively grouped by phenomenological reduction into domains. Analysis showed that business and economics teachers were faithful in incorporating topics related to consumer credit-related finance education at, or greater than, the level outlined by state standards. The best methods recommended by research were prevalent in the instructional strategies. Teachers stressed the importance of literacy and numeracy. The infusion of economics in early grade levels had little effect on student performance. Participants felt that more finance education in high school was needed, either as a stand-alone course or integrated more efficiently into the curriculum. Implications for positive social change include evaluating financial curriculum components to improve instructional practices by being a part of the curriculum review process and helping administrators and teachers address poverty by improving students\u27 financial skills

BoostNet: Bootstrapping detection of socialbots, and a case study from Guatemala

We present a method to reconstruct networks of socialbots given minimal input. Then we use Kernel Density Estimates of Botometer scores from 47,000 social networking accounts to find clusters of automated accounts, discovering over 5,000 socialbots. This statistical and data driven approach allows for inference of thresholds for socialbot detection, as illustrated in a case study we present from Guatemala.Comment: 7 pages, 4 figure

The meshless methods for numerical solution of the nonlinear Klein-Gordon equation

In this paper, we develop the numerical solution of nonlinear Klein-Gordon equation (NKGE) using the meshless methods. The finite difference scheme and the radial basis functions (RBFs) collocation methods are used to discretize time derivative and spatial derivatives, respectively. Numerical results are given to confirm the accuracy and efficiency of the presented schemes.Publisher's Versio

Electric Scooter Injuries and Hospital Admissions in the United States, 2014-2018.

This study investigates trends of injury and hospital admission associated with electric scooter use

Human face recognition under degraded conditions

Comparative studies on the state of the art feature extraction and classification techniques for human face recognition under low resolution problem, are proposed in this work. Also, the effect of applying resolution enhancement, using interpolation techniques, is evaluated. A gradient-based illumination insensitive preprocessing technique is proposed using the ratio between the gradient magnitude and the current intensity level of image which is insensitive against severe level of lighting effect. Also, a combination of multi-scale Weber analysis and enhanced DD-DT-CWT is demonstrated to have a noticeable stability versus illumination variation. Moreover, utilization of the illumination insensitive image descriptors on the preprocessed image leads to further robustness against lighting effect. The proposed block-based face analysis decreases the effect of occlusion by devoting different weights to the image subblocks, according to their discrimination power, in the score or decision level fusion. In addition, a hierarchical structure of global and block-based techniques is proposed to improve the recognition accuracy when different image degraded conditions occur. Complementary performance of global and local techniques leads to considerable improvement in the face recognition accuracy. Effectiveness of the proposed algorithms are evaluated on Extended Yale B, AR, CMU Multi-PIE, LFW, FERET and FRGC databases with large number of images under different degradation conditions. The experimental results show an improved performance under poor illumination, facial expression and, occluded images

Numerical Simulation of Natural Gas Flow in Transmission Lines through CFD Method Considering Effective Parameters

ABSTRACT Most of gas sources are located in long distances from consumption centers. Gas is sent to final consumption points sometimes thousands kilometers far from their sources after extraction. So according to gas industries development and improvement of its transmission industries, technical developments are necessary in order to analyze the gas transmission system. In this study for the first time, natural gas flow in transmission pipe lines is modeled via continuity, momentum, and energy equations and also ideal state equation as an auxiliary equation. Also the effect of turbulence is considered in 2D geometry. Resulted partial differential equations must be solved simultaneously, then computational fluid dynamic (CFD) and finite volume method are used for discretization of differential equations. An approximate 4% error shows delicacy of this method. Finally, effect of variation in temperature of inlet gas, gas's flow rate, and ambient temperature on pressure drop and system's parameters are studied

Solitary Wave Solutions of the Generalized Rosenau-KdV-RLW Equation

This paper investigates the solitary wave solutions of the generalized Rosenau–Korteweg-de Vries-regularized-long wave equation. This model is obtained by coupling the Rosenau–Korteweg-de Vries and Rosenau-regularized-long wave equations. The solution of the equation is approximated by a local meshless technique called radial basis function (RBF) and the finite-difference (FD) method. The association of the two techniques leads to a meshless algorithm that does not requires the linearization of the nonlinear terms. First, the partial differential equation is transformed into a system of ordinary differential equations (ODEs) using radial kernels. Then, the ODE system is solved by means of an ODE solver of higher-order. It is shown that the proposed method is stable. In order to illustrate the validity and the efficiency of the technique, five problems are tested and the results compared with those provided by other schemes.info:eu-repo/semantics/publishedVersio

大規模オープンオンライン講義における教育的介入がピア評価の質的改善に及ぼす効果に関する実証的研究

京都大学0048新制・課程博士博士(教育学)甲第21987号教博第240号新制||教||186(附属図書館)京都大学大学院教育学研究科教育科学専攻(主査)教授 飯吉 透, 教授 楠見 孝, 准教授 酒井 博之学位規則第4条第1項該当Doctor of Philosophy (Education)Kyoto UniversityDGA

Quantitative characterization of viscoelastic behavior in tissue-mimicking phantoms and ex vivo animal tissues.

Viscoelasticity of soft tissue is often related to pathology, and therefore, has become an important diagnostic indicator in the clinical assessment of suspect tissue. Surgeons, particularly within head and neck subsites, typically use palpation techniques for intra-operative tumor detection. This detection method, however, is highly subjective and often fails to detect small or deep abnormalities. Vibroacoustography (VA) and similar methods have previously been used to distinguish tissue with high-contrast, but a firm understanding of the main contrast mechanism has yet to be verified. The contributions of tissue mechanical properties in VA images have been difficult to verify given the limited literature on viscoelastic properties of various normal and diseased tissue. This paper aims to investigate viscoelasticity theory and present a detailed description of viscoelastic experimental results obtained in tissue-mimicking phantoms (TMPs) and ex vivo tissues to verify the main contrast mechanism in VA and similar imaging modalities. A spherical-tip micro-indentation technique was employed with the Hertzian model to acquire absolute, quantitative, point measurements of the elastic modulus (E), long term shear modulus (η), and time constant (τ) in homogeneous TMPs and ex vivo tissue in rat liver and porcine liver and gallbladder. Viscoelastic differences observed between porcine liver and gallbladder tissue suggest that imaging modalities which utilize the mechanical properties of tissue as a primary contrast mechanism can potentially be used to quantitatively differentiate between proximate organs in a clinical setting. These results may facilitate more accurate tissue modeling and add information not currently available to the field of systems characterization and biomedical research

Application of medical gases in the field of neurobiology

Medical gases are pharmaceutical molecules which offer solutions to a wide array of medical needs. This can range from use in burn and stroke victims to hypoxia therapy in children. More specifically however, gases such as oxygen, helium, xenon, and hydrogen have recently come under increased exploration for their potential theraputic use with various brain disease states including hypoxia-ischemia, cerebral hemorrhages, and traumatic brain injuries. As a result, this article will review the various advances in medical gas research and discuss the potential therapeutic applications and mechanisms with regards to the field of neurobiology