Vancouver Outsider Arts Festival (https://voaf.ca/) 2023

Waves Awash (2023)

Acrylic on canvas (16”x20”)

Fall Foliage Fantasy (2023)

Glue, turmeric, alkanet root powder, beet root powder, tomato powder, nutritional yeast, & hydrogen peroxide, over found acrylic painting on canvas (12”x16”)

Into the Woulds (2023)

Acrylic, indigo leaf powder (aqueous suspension), glue, over canvas board (16”x20”)

This Is Not a Pair of Glasses on a Faucet (2023)

Acrylic on canvas (16”x20”)

Waves Aflush (2023)

Glue, toilet paper, acrylic, turmeric, tomato powder, & crayon chunks, over found mixed media piece on canvas (30”x15”)

The Eyes Have It (2023)

Glue, acrylic, beet powder, & tomato powder, over found oil painting on canvas (24”x24”)

Sakura (2023)

Glue, rhubarb pulp, pear pulp, & acrylic over found oil painting on canvas (20”x16”)

Nebulous Tile for Spacey Spaces (2023)

Glue, turmeric, tomato powder, nutritional yeast, hydrogen peroxide, & acrylic, on canvas (12”x12”)

Mudflat (2023)

Acrylic, paper, pipe cleaners, feathers, & hair, on canvas (16”x12”)

Mao-cho Marx Cat (2022)

Collage, acrylic, on canvas (14”x14”)

Chinese-English translations

The vertically aligned characters on the left:

毛吵 [máo chăo], meaning fur noise, or hair quarrel, followed by 马克思 [mă kè sī], meaning horse gram think, all suggesting one of the Marx Brothers (e.g. Groucho, Harpo, Chico, Karlo, or Mao-cho Marx).

The first two horizontally aligned characters on the left:

猫毛 [māo máo], meaning cat fur (mao Mao).

The two horizontally aligned characters in the centre:

主席 [zhŭxi], meaning Chairman (Zhuxi).

The last two horizontally characters on the right:

墓地 [mùdì], meaning graveyard (mudi, sounding like Moody, and thus forming a signature).

Languid Linoleum (2023)

Glue, turmeric, nutritional yeast, hydrogen peroxide, & acrylic, on canvas (10”x10”)

Inflamed Inspirational Poster (2023)

Glue, turmeric, tomato powder, & acrylic, over found inspirational poster (“Living without an aim is

like sailing without a compass”) on canvas (22”x16”)

Hull on Earth (2023)

Acrylic, indigo leaf powder (aqueous suspension), glue, turmeric, tomato powder, hydrogen peroxide, over canvas board (16”x20”)

Fireweed Field Aflame, or, One with Everything: mustard, ketchup, & relish (2023)

Acrylic on canvas (16”x20”)

Aliums (2023)

Glue, acrylic, onion skins, garlic skins, over found oil painting on canvas (24”x24”)

Effects of noise on the distinguishability of several simulated AUC systems of PS beads

Distinguishing hypothetical systems of PS beads by g(s*) analysis of simulated AUC data to which noise has been added, and quantifying the statistical significance of any observed distinguishability.

Link to the latest draft: noise-vs-distinguishability draft of July 31, 2015.  (First published on March 26, 2014.)

Links to data files are given below.

This document applies material from Johnston-Ogston effects in AUC simulations of two model systems based on polystyrene beads that are polydisperse with respect to specific gravity; The apparent sedimentation coefficient, s*, and its distribution function, g(s*), within -∞ < s* < ∞; and An irreversible thermodynamic description of analytical ultracentrifugation (AUC) applied to a solution of the time- and gravitational-potential-space-dependent Lamm equation; to which links are provided in accompanying posts (Johnston-Ogston effects with PS beads, g(s*) within -∞ < s* < ∞ and Irreversible thermodynamics of AUC and MCE, respectively).

This work examines the effects of noise on the distinguishability of mixtures subjected to analytical ultracentrifugation (AUC). The mixtures are hypothetical, the AUC is simulated, and the noise, which consists of both systematic and random parts, is generated artificially. For each mixture, the AUC is simulated just once. Replicate samples of a mixture are created by the addition of noise to the simulated AUC data of that mixture. The added noise is unique to each replicate, and the set of replicates that pertains to a particular mixture is defined as a treatment group. Thus, the artificially generated noise is the only source of variation within a treatment group. Across treatment groups, the implicit solvent composition is identical, and the initial concentrations of comparable solutes are as much alike as possible. To ensure that, in the absence of noise, the composition of the system is the only source of variation between treatment groups, for each mixture, the simulated AUC method is identical with respect to parameters that depend on temperature, rotor speed and data collection. Across treatment groups, the simulated AUC data are recorded at identical radial positions at identical times, and the signal-to-mass ratios are identical for comparable materials.

For each replicate of each treatment group at three significantly different times, a common observation is obtained by g(s*) analysis. At each of the three times chosen for analysis, the population mean of the observations within one treatment group is compared to that within every other treatment group. One-way analysis of variance (ANOVA) is used to test whether there are any statistically significant differences in the population means between any of the treatment groups at a given time. To quantify the statistical significance of a difference between any two treatment groups, a Bonferroni-adjusted t-test (2-tailed) is applied to pair-wise comparisons of the population means from different treatment groups at each time. Confidence intervals about the population means are determined and graphed to illustrate selected results from the Bonferroni-adjusted t-tests.

Links to data files from AUC simulations:

m01Ka000 (t = 1 min, 0% Ka > 0);

m36Ka000 (t = 36 min, 0% Ka > 0);

m51Ka000 (t = 51 min, 0% Ka > 0);

m66Ka000 (t = 66 min, 0% Ka > 0);

m01Ka050 (t = 1 min, 50% Ka > 0);

m36Ka050 (t = 36 min, 50% Ka > 0);

m51Ka050 (t = 51 min, 50% Ka > 0);

m66Ka050 (t = 66 min, 50% Ka > 0);

m01Ka099 (t = 1 min, 99% Ka > 0);

m36Ka099 (t = 36 min, 99% Ka > 0);

m51Ka099 (t = 51 min, 99% Ka > 0);

m66Ka099 (t = 66 min, 99% Ka > 0);

m01Ka100 (t = 1 min, 100% Ka > 0);

m36Ka100 (t = 36 min, 100% Ka > 0);

m51Ka100 (t = 51 min, 100% Ka > 0);

m66Ka100 (t = 66 min, 100% Ka > 0).

Each AUC-simulation file consists of three columns of data, of which the first is radial position (cm), the second is the total concentration (g/ml) of the most abundant solute species (L + H + LH), and the third is the total concentration (g/ml) of all solute species (L + H + LH + the 24 low-concentration solute species).

Link to the 98,588 indexed GRN (generally random noise) values to which Table 14 of the noise-vs-distinguishability draft (link given above) refers: XvsZ2012GINupdex. This file consists of three columns of data, of which the first is the index, the second is the unsorted GRN, and the third is the GRN placed in ascending order with respect to the index.

Text or pdf files of the five megillahs, each consisting of 39,000,000 normal random numbers, are too large to upload within a reasonable period of time.

g(s*) within -∞ < s* < ∞

The apparent sedimentation coefficient, s*, and its distribution function, g(s*), within -∞ < s* < ∞.

Link to the latest draft: g(s*) draft of July 31, 2015. (First published on May 9, 2012.)

This document applies material from An irreversible thermodynamic description of analytical ultracentrifugation (AUC) applied to a solution of the time- and gravitational-potential-space-dependent Lamm equation, and An irreversible thermodynamic description of membrane-confined electrophoresis (MCE) applied to a solution of the time- and electrical-potential-space-dependent continuity equation for MCE, to which links are provided in an accompanying post (Irreversible thermodynamics of AUC and MCE).

This document also includes analyses of selected data sets from Johnston-Ogston effects in AUC simulations of two model systems based on polystyrene beads that are polydisperse with respect to specific gravity, to which a link is provided in an accompanying post (Johnston-Ogston effects with PS beads). Additionally, this document describes the method of analysis used in Distinguishing hypothetical systems of PS beads by g(s*) analysis of simulated AUC data to which noise has been added, and quantifying the statistical significance of any observed distinguishability (Effects of noise on the distinguishability of several simulated AUC systems of PS beads) to obtain observations for each replicate within each treatment group at selected times.

Johnston-Ogston effects with PS beads

Johnston-Ogston effects in AUC simulations of two model systems based on polystyrene beads that are polydisperse with respect to specific gravity.

Link to the latest draft: PS bead draft of February 27, 2016. (First published on February 17, 2012.)

This document applies material from An irreversible thermodynamic description of analytical ultracentrifugation (AUC) applied to a solution of the time- and gravitational-potential-space-dependent Lamm equation, to which a link is provided in an accompanying post (Irreversible thermodynamics of AUC and MCE). Simulation results include those obtained using a simple coupled-flow equation for AUC.

Selected data sets from this document are analysed in The apparent sedimentation coefficient, s*, and its distribution function, g(s*), within -∞ < s* < ∞, to which a link is provided in an accompanying post (g(s*) within -∞ < s* < ∞). The two model systems described in this document are used to create the four treatment groups of Distinguishing hypothetical systems of PS beads by g(s*) analysis of simulated AUC data to which noise has been added, and quantifying the statistical significance of any observed distinguishability, to which a link is also provided in an accompanying post (Effects of noise on the distinguishability of several simulated AUC systems of PS beads).

Irreversible thermodynamics of AUC and MCE

An irreversible thermodynamic description of analytical ultracentrifugation (AUC) applied to a solution of the time- and gravitational-potential-space-dependent Lamm equation. Link to the latest draft: AUC draft of July 31, 2015. (First published on December 12, 2011.) An irreversible thermodynamic description of membrane-confined electrophoresis (MCE) applied to a solution of the time- and electrical-potential-space-dependent continuity equation for MCE. Link to the latest draft: MCE draft of July 31, 2015. (First published on December 12, 2011.) For both AUC and MCE, the method of simulation is an implementation of an integral, finite-element solution to the applicable continuity equation. The method is built on that which Claverie, Dreux and Cohen [1975 Aug; Biopolymers 14 1685-1700] described in their solution to the Lamm equation, but differs in several respects. To correctly implement their concentration dependence, the transport coefficients are defined as spatially-independent parameters. To correctly evaluate the concentration-dependent transport coefficients at the time to be evaluated, the concentrations are calculated iteratively. By such an evaluation of the concentration-dependent transport coefficients at both the time already evaluated and the time being evaluated, the accuracy of each new set of concentrations is maximised. Computational artefacts are reduced by first calculating all concentrations in one order, then recalculating all concentrations in the opposite order, and averaging the results. Additionally, in the case of AUC, simpler results of integration are obtained by using one-half the square of the radial position, rather than the radial position, as the spatial parameter of the continuity equation. For both AUC and MCE, a simple coupled-flow equation has been implemented. Applications of material from these documents appear in Johnston-Ogston effects in AUC simulations of two model systems based on polystyrene beads that are polydisperse with respect to specific gravity; The apparent sedimentation coefficient, s*, and its distribution function, g(s*), within -∞ < s* < ∞; and Distinguishing hypothetical systems of PS beads by g(s*) analysis of simulated AUC data to which noise has been added, and quantifying the statistical significance of any observed distinguishability; to which links are provided in accompanying posts (Johnston-Ogston effects with PS beads, g(s*) within -∞ < s* < ∞ and Effects of noise on the distinguishability of several simulated AUC systems of PS beads, respectively).