Low-Cost Motility Tracking System (LOCOMOTIS) for time-lapse microscopy applications and cell visualisation

This article has been made available through the Brunel Open Access Publishing Fund.Direct visualisation of cells for the purpose of studying their motility has typically required expensive microscopy equipment. However, recent advances in digital sensors mean that it is now possible to image cells for a fraction of the price of a standard microscope. Along with low-cost imaging there has also been a large increase in the availability of high quality, open-source analysis programs. In this study we describe the development and performance of an expandable cell motility system employing inexpensive, commercially available digital USB microscopes to image various cell types using time-lapse and perform tracking assays in proof-of-concept experiments. With this system we were able to measure and record three separate assays simultaneously on one personal computer using identical microscopes, and obtained tracking results comparable in quality to those from other studies that used standard, more expensive, equipment. The microscopes used in our system were capable of a maximum magnification of 413.6x. Although resolution was lower than that of a standard inverted microscope we found this difference to be indistinguishable at the magnification chosen for cell tracking experiments (206.8x). In preliminary cell culture experiments using our system, velocities (mean mm/min ± SE) of 0.81±0.01 (Biomphalaria glabrata hemocytes on uncoated plates), 1.17±0.004 (MDA-MB-231 breast cancer cells), 1.24±0.006 (SC5 mouse Sertoli cells) and 2.21±0.01 (B. glabrata hemocytes on Poly-L-Lysine coated plates), were measured and are consistent with previous reports. We believe that this system, coupled with open-source analysis software, demonstrates that higher throughput time-lapse imaging of cells for the purpose of studying motility can be an affordable option for all researchers. © 2014 Lynch et al

The Utility of Text: The Case of Amicus Briefs and the Supreme Court

We explore the idea that authoring a piece of text is an act of maximizing one's expected utility. To make this idea concrete, we consider the societally important decisions of the Supreme Court of the United States. Extensive past work in quantitative political science provides a framework for empirically modeling the decisions of justices and how they relate to text. We incorporate into such a model texts authored by amici curiae ("friends of the court" separate from the litigants) who seek to weigh in on the decision, then explicitly model their goals in a random utility model. We demonstrate the benefits of this approach in improved vote prediction and the ability to perform counterfactual analysis.Comment: Working draf

Structural features of alkylphenolic chemicals associated with estrogenic activity

The ability of certain man-made chemicals to mimic the effects of natural steroid hormones and their potential to disrupt the delicate balance of the endocrine system in animals are of increasing concern. The growing list of reported hormone-mimics includes the alkylphenolic (AP) compounds, a small number of which have been reported to be weakly estrogenic. In their most basic form, APs are composed of an alkyl group, which can vary in size, branching, and position, joined to a phenolic ring. The aim of this project was to identify the important structural features responsible for the estrogenic activity of AP chemicals. This was achieved by incubating APs with different structural features in a medium containing a previously described estrogen-inducible strain of yeast (Saccharomyces cerevisiae) expressing the human estrogen receptor and comparing their activity spectrophotometrically by the resulting color change of the medium. The results were compared to the effects of the main natural estrogen 17-estradiol. The data indicate that both the position (para > meta > ortho) and branching (tertiary > secondary = normal) of the alkyl group affect estrogenicity. Optimal estrogenic activity requires a single tertiary branched alkyl group composed of between 6 and 8 carbons located at the para position on an otherwise unhindered phenol ring. The results are discussed in relation to the purity and composition of the chemicals tested

Model Uncertainty and Liquidity

Extreme market outcomes are often followed by a lack of liquidity and a lack of trade. This market collapse seems particularly acute for markets where traders rely heavily on a specific empirical model such as in derivative markets. Asset pricing and trading, in these cases, are intrinsically model dependent. Moreover, the observed behavior of traders and institutions that places a large emphasis on 'worst-case scenarios'' through the use of 'stress testing'' and 'value-at-risk'' seems different than Savage rationality (expected utility) would suggest. In this paper we capture model-uncertainty explicitly using an Epstein-Wang (1994) uncertainty-averse utility function with an ambiguous underlying asset-returns distribution. To explore the connection of uncertainty with liquidity, we specify a simple market where a monopolist financial intermediary makes a market for a propriety derivative security. The market-maker chooses bid and ask prices for the derivative, then, conditional on trade in this market, chooses an optimal portfolio and consumption. We explore how uncertainty can increase the bid-ask spread and, hence, reduces liquidity. In addition, 'hedge portfolios'' for the market-maker, an important component to understanding spreads, can look very different from those implied by a model without Knightian uncertainty. Our infinite-horizon example produces short, dramatic decreases in liquidity even though the underlying environment is stationary.

Exotic Preferences for Macroeconomists

We provide a user's guide to exotic' preferences: nonlinear time aggregators, departures from expected utility, preferences over time with known and unknown probabilities, risk-sensitive and robust control, hyperbolic' discounting, and preferences over sets ( temptations'). We apply each to a number of classic problems in macroeconomics and finance, including consumption and saving, portfolio choice, asset pricing, and Pareto optimal allocations.

Women on boards and greenhouse gas emission disclosures

We apply institutional and board capital theory to examine whether women on boards are associated with disclosure and quality of <i>corporate greenhouse gas</i> (GHG) emissions related reporting. We examine the research problem in Australia in a period when no requirements existed for listed companies to appoint female directors or to report GHG emissions. This environment allows us to examine the association between women on boards and GHG emissions related disclosure in annual and sustainability reports in a voluntary setting. We find that companies with multiple female directors make GHG emissions related disclosures that are of higher quality

Issues arising when interpreting results from an in vitro assay for estrogenic activity

Concern about possible adverse effects caused by the inadvertent exposure of humans and wildlife to endocrine-active chemicals, has led some countries to develop an in vivo–in vitro screening program for endocrine effects. In this paper, a previously described estrogen-inducible recombinant yeast strain (Saccharomyces cerevisiae) is used to investigate a number of issues that could potentially lead to the mislabeling of chemicals as endocrine disruptors. The chemicals studied were: 17-estradiol, dihydrotestosterone, testosterone, estradiol-3-sulfate, 4-nonylphenol, 4-tert-octylphenol, 4-tert-butylphenol, bisphenol-A, methoxychlor, 2,2-bis(p-hydroxyphenyl)-1,1,1-trichloroethane, butyl benzyl phthalate, 4-hydroxytamoxifen, and ICI 182,780. Alterations in assay methodology (for example, incubation time, initial yeast cell number, and the use of different solvents) did not affect the potency of bisphenol-A and 4-nonylphenol relative to 17-estradiol, but did alter the apparent potency of butyl benzyl phthalate. Other issues (including the metabolic activation of methoxychlor, the chemical purity of a steroid metabolite and unusual chemical artifacts observed with alkylphenolic chemicals) which affect data interpretation are described. Many of the issues raised will also affect other in vitro assays for endocrine activity, and some will be relevant to the interpretation of data from in vivo assays. These examples illustrate that considerable care and thought must be applied when interpreting results derived from any single assay. Only by using a suite of assays will we minimize the chances of wrongly labeling chemicals as endocrine disruptors

Innate and discretionary accruals quality and corporate governance

This paper extends previous research on the association between corporate governance mechanisms and accruals quality. We derive measures of the discretionary and innate components of accruals quality and regress them against corporate governance characteristics. For discretionary accruals, we find use of a Big 4 audit firm and a larger audit committee as the primary governance mechanisms associated with higher accruals quality. For innate accruals quality, we find that higher quality is associated with an independent board of directors, a larger, more independent and more active audit committee, and use of a Big 4 audit firm. Our findings suggest a stronger relation between sound governance mechanisms and innate accruals quality than discretionary accruals quality.Full Tex

Character Sequence Models for ColorfulWords

We present a neural network architecture to predict a point in color space from the sequence of characters in the color's name. Using large scale color--name pairs obtained from an online color design forum, we evaluate our model on a "color Turing test" and find that, given a name, the colors predicted by our model are preferred by annotators to color names created by humans. Our datasets and demo system are available online at colorlab.us

Equilibrium Commodity Prices with Irreversible Investment and Non-Linear Technology

We model equilibrium spot and futures oil prices in a general equilibrium production economy. In our model production of the consumption good requires two inputs: the consumption good and a commodity, e.g., Oil. Oil is produced by wells whose flow rate is costly to adjust. Investment in new Oil wells is costly and irreversible. As a result in equilibrium, investment in Oil wells is infrequent and lumpy. Even though the state of the economy is fully described by a one-factor Markov process, the spot oil price is not Markov (in itself). Rather it is best described as a regime-switching process, the regime being an investment `proximity' indicator. The resulting equilibrium oil price exhibits mean-reversion and heteroscedasticity. Further, the risk premium for exposure to commodity risk is time-varying, positive in the far-from-investment regime but negative in the near-investment regime. Further, our model captures many of the stylized facts of oil futures prices, such as backwardation and the `Samuelson effect.' The futures curve exhibits backwardation as a result of a convenience yield, which arises endogenously. We estimate our model using the Simulated Method of Moments with economic aggregate data and crude oil futures prices. The model successfully captures the first two moments of the futures curves, the average non-durable consumption-output ratio, the average oil consumption-output and the average real interest rate. The estimation results suggest the presence of convex adjustment costs for the investment in new oil wells. We also propose and test a linear approximation of the equilibrium regime-shifting dynamics implied by our model, and test its empirical implication for time-varying risk-premia.