Comparisons of Success and Retention in a General Chemistry Course Before and After the Adoption of a Mathematics Prerequisite

This study of the relationships between mathematical ability and success and retention in a general chemistry course was conducted at an open‐enrollment university whose mission is to provide a quality education to a culturally and economically diverse student body. We studied the correlation between the demonstrated level of mathematical ability and success in chemistry and the correlation between the demonstrated level of mathematical ability and retention in chemistry. After the chemistry department implemented a mathematics prerequisite for the chemistry course, data were examined to compare success and retention prior to and after the adoption of the prerequisite. Analysis showed that success and retention in chemistry increased after the adoption of the mathematics prerequisite.     

Local topology at limited resource induced suboptimal traps on the quantum control landscape

In a quantum optimal control experiment a system is driven towards a target observable value with a tailored external field. The underlying quantum control landscape, defined by the observable as a function of the control variables, lacks suboptimal extrema upon satisfaction of certain physical assumptions. This favorable topology implies that upon climbing the landscape to seek an optimal control field, a steepest ascent algorithm should not halt prematurely at suboptimal critical points, or traps. One of the important aforementioned assumptions is that no limitations are imposed on the control resources. Constraints on the control restricts access to certain regions of the landscape, potentially preventing optimal performance through convergence to limited resource induced suboptimal traps. This work develops mathematical tools to explore the local landscape structure around suboptimal critical points. The landscape structure may be favorably altered by systematically relaxing the control resources. In this fashion, isolated suboptimal critical points may be transformed into extensive level sets and then to saddle points permitting further landscape ascent. Time-independent kinematic controls are employed as stand-ins for traditional dynamic controls to allow for performing a simpler constrained resource landscape analysis. The kinematic controls can be directly transferred to their dynamic counterparts at any juncture of the kinematic analysis. The numerical simulations employ a family of landscape exploration algorithms while imposing constraints on the kinematic controls. Particular algorithms are introduced to meet the goals of either climbing the landscape or seeking specific changes in the topology of the landscape by relaxing the control resources.     

Direct Constructions for General Families of Cyclic Mutually Nearly Orthogonal Latin Squares

Two Latin squares and , of even order n with entries , are said to be nearly orthogonal if the superimposition of L on M yields an array in which each ordered pair , and , occurs at least once and the ordered pair occurs exactly twice. In this paper, we present direct constructions for the existence of general families of three cyclic mutually orthogonal Latin squares of orders , , and . The techniques employed are based on the principle of Methods of Differences and so we also establish infinite classes of “quasi‐difference” sets for these orders.     

Complex Region Spatial Smoother (CReSS)

Conventional smoothing over complicated coastal and island regions may result in errors across boundaries, due to the use of Euclidean distances to measure interpoint similarity. The new Complex Region Spatial Smoother (CReSS) method presented here uses estimated geodesic distances, model averaging, and a local radial basis function to provide improved smoothing over complex domains. CReSS is compared, via simulation, with recent related smoothing techniques, Thin Plate Splines (TPS), geodesic low rank TPS (GLTPS), and the Soap film smoother (SOAP). The GLTPS method cannot be used in areas with islands and SOAP can be hard to parameterize. CReSS is comparable with, if not better than, all considered methods on a range of simulations. Supplementary materials for this article are available online.     

Magnetic particle microrheometric dynamics in Newtonian fluids: numerical simulations on the early motion and beyond

Rotating magnetic particle microrheometry has been a promising technique in measuring material properties in limited-sample high-viscosity fluids. Experimental limitations in the early motion require further theoretical exploration. In this work, the rotation of a ferromagnetic particle is considered under the influence of an external uniform magnetic field in an infinite highly viscous Newtonian fluid. The motion is restricted at the very low Reynolds number limit. Early-time analytical approximations are utilised to initiate numerical calculations in an attempt to describe the azimuthal velocity dependency on scaled time and radius. The equation of motion is solved by implementing a Crank–Nicholson finite-difference scheme, while the driving time-dependent boundary condition is discretised according to a Lax–Wendroff scheme. Stability and convergence criteria for the PDE are also discussed. It is demonstrated that the step function form of the applied magnetic field does not cause finite displacement other than that expected from Newtonian fluid flow for the typical magnetic field magnitude ranges encountered in micro-rheometric studies. The numerical solution is compared against analytical values available for particle ‘zero-total-torque’ condition and it was found to be second-order accurate in time and radial dimension.