6,109 research outputs found
Generating Surfaces of Variable Eccentricity Within a Ray Tracer
Polynomial surfaces used in ray tracing have recently been improved upon allowing for three dimensional applications. Among these are surfaces that have a varying eccentricity. This paper will discuss a method for finding real roots of polynomials [allowing us to create these surfaces]. First, we will give the reader a basic comprehension of the workings of a ray tracer, a general understanding of three dimensional polynomial surfaces, how this newly implemented root finder functions, and how these concepts enable us to create surfaces of variable eccentricity. Then, examples will be provided to demonstrate the capabilities of the program
Topological Chaos in a Three-Dimensional Spherical Fluid Vortex
In chaotic deterministic systems, seemingly stochastic behavior is generated
by relatively simple, though hidden, organizing rules and structures. Prominent
among the tools used to characterize this complexity in 1D and 2D systems are
techniques which exploit the topology of dynamically invariant structures.
However, the path to extending many such topological techniques to three
dimensions is filled with roadblocks that prevent their application to a wider
variety of physical systems. Here, we overcome these roadblocks and
successfully analyze a realistic model of 3D fluid advection, by extending the
homotopic lobe dynamics (HLD) technique, previously developed for 2D
area-preserving dynamics, to 3D volume-preserving dynamics. We start with
numerically-generated finite-time chaotic-scattering data for particles
entrained in a spherical fluid vortex, and use this data to build a symbolic
representation of the dynamics. We then use this symbolic representation to
explain and predict the self-similar fractal structure of the scattering data,
to compute bounds on the topological entropy, a fundamental measure of mixing,
and to discover two different mixing mechanisms, which stretch 2D material
surfaces and 1D material curves in distinct ways.Comment: 14 pages, 11 figure
Biological synopsis of Australian herring (Arripis georgianus)
Arripis georgianus (‘Australian herring’) is targeted by commercial and recreational fishers in Western Australia (WA) and South Australia (SA). Historically, A. georgianus has been the most commonly retained species of finfish taken by shore- and boat-based recreational fishers in the West Coast Bioregion (WCB) and South Coast Bioregion (SCB) (Smith et al. 2013a) (Fig. 1). The species is harvested by several commercial fisheries which use shore-based netting methods (beach seine, haul and gill nets). Historically, the vast majority of the commercial fishery catch has been taken by the herring ‘trap net’ fishery which operates on various beaches near Albany (SCB)
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning
Many animals, and an increasing number of artificial agents, display
sophisticated capabilities to perceive and manipulate objects. But human beings
remain distinctive in their capacity for flexible, creative tool use -- using
objects in new ways to act on the world, achieve a goal, or solve a problem. To
study this type of general physical problem solving, we introduce the Virtual
Tools game. In this game, people solve a large range of challenging physical
puzzles in just a handful of attempts. We propose that the flexibility of human
physical problem solving rests on an ability to imagine the effects of
hypothesized actions, while the efficiency of human search arises from rich
action priors which are updated via observations of the world. We instantiate
these components in the "Sample, Simulate, Update" (SSUP) model and show that
it captures human performance across 30 levels of the Virtual Tools game. More
broadly, this model provides a mechanism for explaining how people condense
general physical knowledge into actionable, task-specific plans to achieve
flexible and efficient physical problem-solving.Comment: This manuscript is in press at PNAS. It is an extended version of a
paper "Rapid Trial-and-Error Learning in Physical Problem Solving" accepted
for oral presentation at the 41st Annual Meeting of the Cognitive Science
Society (2019). It represents ongoing work on the part of the author
A Role for the Kolliker-Fuse Nucleus in Cholinergic Modulation of Breathing at Night During Wakefulness and NREM Sleep
For many years, acetylcholine has been known to contribute to the control of breathing and sleep. To probe further the contributions of cholinergic rostral pontine systems in control of breathing, we designed this study to test the hypothesis that microdialysis (MD) of the muscarinic receptor antagonist atropine into the pontine respiratory group (PRG) would decrease breathing more in animals while awake than while in NREM sleep. In 16 goats, cannulas were bilaterally implanted into rostral pontine tegmental nuclei (n = 3), the lateral (n = 3) or medial (n = 4) parabrachial nuclei, or the Kölliker-Fuse nucleus (KFN; n = 6). After \u3e2 wk of recovery from surgery, the goats were studied during a 45-min period of MD with mock cerebrospinal fluid (mCSF), followed by at least 30 min of recovery and a second 45-min period of MD with atropine. Unilateral and bilateral MD studies were completed during the day and at night. MD of atropine into the KFN at night decreased pulmonary ventilation and breathing frequency and increased inspiratory and expiratory time by 12–14% during both wakefulness and NREM sleep. However, during daytime studies, MD of atropine into the KFN had no effect on these variables. Unilateral and bilateral nighttime MD of atropine into the KFN increased levels of NREM sleep by 63 and 365%, respectively. MD during the day or at night into the other three pontine sites had minimal effects on any variable studied. Finally, compared with MD of mCSF, bilateral MD of atropine decreased levels of acetylcholine and choline in the effluent dialysis fluid. Our data support the concept that the KFN is a significant contributor to cholinergically modulated control of breathing and sleep
Electroanalysis of neutral precursors in protic ionic liquids and synthesis of high-ionicity ionic liquids
Protic ionic liquids (PILs) are ionic liquids that are formed by transferring protons from Brønsted acids to Brønsted bases. While they nominally consist entirely of ions, PILs can often behave as though they contain a significant amount of neutral species (either molecules or ion clusters), and there is currently a lot of interest in determining the degree of “ionicity” of PILs. In this contribution, we describe a simple electroanalytical method for detecting and quantifying residual excess acids in a series of ammonium-based PILs (diethylmethylammonium triflate, [dema][TfO], dimethylethylammonium triflate, [dmea][TfO], triethylammonium trifluoroacetate, [tea][TfAc], and dimethylbutylammonium triflate [dmba][TfO]). Ultramicroelectrode voltammetry reveals that some of the accepted methods for synthesising PILs can readily result in the formation of non-stoichiometric PILs containing up to 230 mM excess acid. In addition, vacuum purification of PILs is of limited use in cases where non-stoichiometric PILs are formed. While excess bases can be readily removed from PILs, even under ambient conditions, excess acids cannot, even under high vacuum. The effects of excess acid on the electrocatalytic oxygen reduction reaction (ORR) in PILs have been studied, and the onset potential of the ORR in [dema][TfO] increases by 0.8 V upon addition of excess acid to PIL. Based on the results of our analyses, we provide some recommendations for the synthesis of highly-ionic PILs
- …