1,144 research outputs found
Native American retention: factors, programs and practices contributing to the completion of a four-year degree by Native American students in higher education Interdisciplinary Studies
Abstract: This study examines the factors that contribute to the completion of a four-year degree among Native American students at a mid-size university in the Southwestern United States. In the United States Native American retention in higher education is at a low. Programs and practices have been implemented among universities to improve retention rates, but nonetheless retention rates are still minimal. Research in the field indicates that the factors contributing to Native American retention include familial support, support from faculty and staff, institutional commitment, and connections to homeland and culture. However, the research does not seem to show factors in relation to specific institutions. This study will be a program review of in which the researcher will look at the Native American programs of the University of Northern Colorado, the University o
Native American Retention: Factors, Programs and Practices Contributing to the Completion of a Four-Year Degree by Native American Students in Higher Education
This study examines the factors that contribute to the completion of a four-year degree among Native American students at a mid-size university in the Southwestern United States. In the United States Native American retention in higher education is at a low. Programs and practices have been implemented among universities to improve retention rates, but nonetheless retention rates are still minimal. Research in the field indicates that the factors contributing to Native American retention include familial support, support from faculty and staff, institutional commitment, and connections to homeland and culture. However, the research does not seem to show factors in relation to specific institutions. This study will be a program review of in which the researcher will look at the Native American programs of the University of Northern Colorado, the University of Colorado at Boulder, the University of Colorado at Denver, Fort Lewis College, Dartmouth College, Harvard University, and Yale University
Fluid-Structure Interaction Simulation of a Coriolis Mass Flowmeter using a Lattice Boltzmann Method
In this paper we use a fluid-structure interaction (FSI) approach to simulate
a Coriolis mass flowmeter (CMF). The fluid dynamics are calculated by the open
source framework OpenLB, based on the lattice Boltzmann method (LBM). For the
structural dynamics we employ the open source software Elmer, an implementation
of the finite element method (FEM). A staggered coupling approach between the
two software packages is presented. The finite element mesh is created by the
mesh generator Gmsh to ensure a complete open source workflow. The Eigenmodes
of the CMF, which are calculated by modal analysis are compared with
measurement data. Using the estimated excitation frequency, a fully coupled,
partitioned, FSI simulation is applied to simulate the phase shift of the
investigated CMF design. The calculated phaseshift values are in good agreement
to the measurement data and verify the suitability of the model to numerically
describe the working principle of a CMF
Physicochemical influences on electrohydrodynamic transport in compressible packed beds of colloidal boehmite particles
Production and processing of colloidal particles require a deeper
understanding of surface charge of particles and interaction of mass and charge
transport in packed beds. The assessment of fundamental parameters is rather
complex due to the additional influence of the particle charge on the structure
of a packed bed. The combination of different measurement techniques (streaming
potential and electroosmosis) allows for separating the effects, based on the
postulation of a new method to quantify the ratio of surface conductance to
liquid conductance. The purpose of this paper is to investigate the influence
of the pH value and compression on the electrohydrodynamic transport
parameters.Comment: 13 pages including 7 figures, accepted by Journal of Colloid and
Interface Scienc
Numerical Investigation of Conductivity Additive Dispersion in High‐Power and High‐Energy NMC‐Based Lithium‐Ion Battery Cathodes: Application‐Based Guidelines
Herein, guidelines are provided for the dispersion of conductivity additive in nickel-manganese-cobalt-oxide-based lithium-ion battery (LIB) cathodes with respect to its influence on electrochemical performance. The contrasting design strategies and operating conditions applicable to high-power and high-energy cathodes lead to significant differences in performance limiting factors for the respective microstructures. Hence, a generalization of the optimum dispersion of the conductivity additive that enhances cell performance in all cases is not possible. In this work, four distinct distributions of conductivity additive agglomerate/aggregate sizes resulting from varying mixing conditions are investigated with respect to their compatibility with cathode microstructures intended for different LIB applications with the help of spatially resolved electrochemical simulations. It is found that in the case of high-power cathodes, wherein ionic transport is the dominant performance limiting factor, a more significant proportion of agglomerates that are bigger in size leads to improved diffusion and intercalation conditions. Conversely, in the case of high-energy electrodes wherein the conductivity additive content is minimized, a larger fraction of smaller aggregates, produced by the fragmentation of the agglomerates during the mixing process are essential to ensure sufficient electrical conductivity
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