A facial expression for anxiety.

Anxiety and fear are often confounded in discussions of human emotions. However, studies of rodent defensive reactions under naturalistic conditions suggest anxiety is functionally distinct from fear. Unambiguous threats, such as predators, elicit flight from rodents (if an escape-route is available), whereas ambiguous threats (e.g., the odor of a predator) elicit risk assessment behavior, which is associated with anxiety as it is preferentially modulated by anti-anxiety drugs. However, without human evidence, it would be premature to assume that rodent-based psychological models are valid for humans. We tested the human validity of the risk assessment explanation for anxiety by presenting 8 volunteers with emotive scenarios and asking them to pose facial expressions. Photographs and videos of these expressions were shown to 40 participants who matched them to the scenarios and labeled each expression. Scenarios describing ambiguous threats were preferentially matched to the facial expression posed in response to the same scenario type. This expression consisted of two plausible environmental-scanning behaviors (eye darts and head swivels) and was labeled as anxiety, not fear. The facial expression elicited by unambiguous threat scenarios was labeled as fear. The emotion labels generated were then presented to another 18 participants who matched them back to photographs of the facial expressions. This back-matching of labels to faces also linked anxiety to the environmental-scanning face rather than fear face. Results therefore suggest that anxiety produces a distinct facial expression and that it has adaptive value in situations that are ambiguously threatening, supporting a functional, risk-assessing explanation for human anxiet

The Value of Emissions Trading

Abstract in HTML and technical report in PDF available on the Massachusetts Institute of Technology Joint Program on the Science and Policy of Global Change website (http://mit.edu/globalchange/www/).This paper estimates the value of international emissions trading, focusing attention on a here-to-fore neglected component: its value as a hedge against uncertainty. Much analysis has been done of the Kyoto Protocol and other potential international greenhouse gas mitigation policies comparing the costs of achieving greenhouse gas emission targets with and without trading. These studies often show large cost reductions for all Parties under trading compared to a no trading case. We investigate the welfare gains of including emissions trading in the presence of uncertainty in economic growth rates, using both a partial equilibrium model based on marginal abatement cost curves and a computable general equilibrium model that allows consideration of the interaction of emissions trading with existing energy taxes and changes in terms of trade. We find that the hedge value of international trading is small relative to its value in reallocating emissions reductions when, as in the Kyoto Protocol, the burden-sharing scheme does not resemble a least-cost allocation. The Kyoto Protocol also allocated excess allowances to Russia, so-called “hot air,” and much of the value often attributed to emissions trading stems from other Parties having access to these extra allowances, which has the effect of lowering the aggregate emissions target. We also find that the effects of preexisting tax distortions and terms of trade dominate the hedge value of trading. We conclude that the primary value of emissions trading in international agreements is as a burden-sharing or wealth transfer mechanism and should be judged accordingly.We gratefully acknowledge helpful comments from A.D. Ellerman. This research was supported by the US Department of Energy (DE-FG02-02ER63468, DE-FG04-04ER63929), US Environmental Protection Agency, US National Science Foundation, US National Aeronautics and Space Administration, US National Oceanographic and Atmospheric Administration; and the Industry and Foundation Sponsors of the MIT Joint Program on the Science and Policy of Global Change

Analysis of Capacity Pricing and Allocation Mechanisms in Shared Railway Systems: Lessons for the Northeast Corridor

Recently, governments have started promoting the use of shared railway systems as a way to take advantage of the existing capital-intensive railway infrastructure. Until 1988, all major railways both managed the infrastructure and operated the trains. In contrast, in shared railway systems, multiple train operators utilize the same infrastructure. Such systems can achieve high utilization, but also require coordination between the infrastructure manager and the train operators. Such coordination, in turn, requires capacity planning and regulation that determines which trains can access the infrastructure at each time, capacity allocation, and the access price they need to pay, capacity pricing. The need to establish capacity pricing and allocation mechanisms in the railway system is relatively new and the comparative performance of alternative mechanisms to price and allocate capacity is still a matter of study. This paper proposes a framework to analyze the performance of shared railway systems under alternative capacity pricing and allocation mechanisms. The paper focuses on how the introduction of price-based and capacity-based mechanisms affect the train operators’ ability to access the infrastructure capacity in the context of the Northeast Corridor in the US. The results of this paper suggest that there are trade-offs associated with each mechanism and none of them is superior to the other on all dimensions. As a result, Northeast Corridor stakeholders should carefully analyze the implications of alternative pricing and allocation mechanisms before locking the system into one of them

Large-scale wind tunnel investigation of a ducted fan - Deflected-slipstream model with an auxiliary wing

Wind tunnel investigation of longitudinal aerodynamic characteristics of semispan wing deflected-slipstream configuration with double slotted flap and auxiliary win

Peptide synthesis by recombinant Fasciola hepatica cathepsin L1

Synthesis of the tripeptide Z-Phe-Arg-SerNH2 has been accomplished by a recombinant cysteine protease, cathepsin L1 from liver fluke (Fasciola hepatica), using Z-Phe-Arg-OMe as acyl acceptor and SerNH2 as nucleophile in 0.1 M ammonium acetate pH 9.0–12.5% v/v acetonitrile at 37 °C. LC–MS detection indicated tripeptide formation after 10 min, continuing up to 5.5 h. The ester Z-Phe-Arg-OMe was detected throughout the experiment but the hydrolysis product Z-Phe-Arg-OH appeared early and in quite large amounts. We believe that this is the first application of a parasite protease in enzymatic peptide synthesis

Tears from My Inkwell / music by Harry Warren; words by Mort Dixon

Cover: photo of Red Norvo; Publisher: M. Witmark and Sons (New York)https://egrove.olemiss.edu/sharris_e/1055/thumbnail.jp

Rail Infrastructure Manager Problem: Analyzing Capacity Pricing and Allocation in Shared Railway System

This paper proposes a train timetabling model for shared railway systems. The model is formulated as a mixed integer linear programming problem and solved both using commercial software and a novel algorithm based on approximate dynamic programming. The results of the train timetabling model can be used to simulate and evaluate the behavior of the infrastructure manager in shared railway systems under different capacity pricing and allocation mechanisms. This would allow regulators and decision makers to identify the implications of these mechanisms for different stakeholders considering the specific characteristics of the system

A GPU-based survey for millisecond radio transients using ARTEMIS

Astrophysical radio transients are excellent probes of extreme physical processes originating from compact sources within our Galaxy and beyond. Radio frequency signals emitted from these objects provide a means to study the intervening medium through which they travel. Next generation radio telescopes are designed to explore the vast unexplored parameter space of high time resolution astronomy, but require High Performance Computing (HPC) solutions to process the enormous volumes of data that are produced by these telescopes. We have developed a combined software /hardware solution (code named ARTEMIS) for real-time searches for millisecond radio transients, which uses GPU technology to remove interstellar dispersion and detect millisecond radio bursts from astronomical sources in real-time. Here we present an introduction to ARTEMIS. We give a brief overview of the software pipeline, then focus specifically on the intricacies of performing incoherent de-dispersion. We present results from two brute-force algorithms. The first is a GPU based algorithm, designed to exploit the L1 cache of the NVIDIA Fermi GPU. Our second algorithm is CPU based and exploits the new AVX units in Intel Sandy Bridge CPUs.Comment: 4 pages, 7 figures. To appear in the proceedings of ADASS XXI, ed. P.Ballester and D.Egret, ASP Conf. Se