IMPLEMENTATION OF EFFECTIVE POLLUTION CONTROL BY FOOD PROCESSORS

Environmental Economics and Policy,

Automated searching for quantum subsystem codes

Quantum error correction allows for faulty quantum systems to behave in an effectively error free manner. One important class of techniques for quantum error correction is the class of quantum subsystem codes, which are relevant both to active quantum error correcting schemes as well as to the design of self-correcting quantum memories. Previous approaches for investigating these codes have focused on applying theoretical analysis to look for interesting codes and to investigate their properties. In this paper we present an alternative approach that uses computational analysis to accomplish the same goals. Specifically, we present an algorithm that computes the optimal quantum subsystem code that can be implemented given an arbitrary set of measurement operators that are tensor products of Pauli operators. We then demonstrate the utility of this algorithm by performing a systematic investigation of the quantum subsystem codes that exist in the setting where the interactions are limited to 2-body interactions between neighbors on lattices derived from the convex uniform tilings of the plane.Comment: 38 pages, 15 figure, 10 tables. The algorithm described in this paper is available as both library and a command line program (including full source code) that can be downloaded from http://github.com/gcross/CodeQuest/downloads. The source code used to apply the algorithm to scan the lattices is available upon request. Please feel free to contact the authors with question

David or Mia? The influence of gender on adolescent girls' choice of sport role models

This article explores the relationship between adolescent girls and their sport role models with a particular focus on gender. Social learning theory as well as gender theory are considered. Based on quantitative and qualitative data collected in Australia through two focus group interviews and questionnaires (n = 357) the researchers found that gender influences the choice of sport role models of adolescent girls. When asked to nominate their role model, girls overwhelmingly choose a female role model, however, when their role model came from the sporting domain the percentage of female role models decreased. Further, qualitative comments support the notion that gender and gendered heroism play a critical role in the adoption of sport role models by adolescent girls. The authors argue that sport role models, in traditional gender terms, are ideologically contradictory. A trend towards acceptance of a perspective of multiple femininities and masculinities may be a prospect for change. © 2008 Elsevier Ltd. All rights reserved

Inhibition of Blood Coagulation Factor XII: Evaluation of Flavonoids as a Drug Candidate

This study investigated natural product inhibitors of blood coagulation Factor XII (FXII). FXII initiates the Kallikrein Kinin-System (KKS) within the intrinsic coagulation pathway. Increased expression of this system leads to proinflammatory and procoagulant activities. Inflammation occurs through downstream activation in the KKS. Following the activation of FXII-dependent pathway, bradykinin (BK) binds to the BK receptor 2 (B2) and produces inflammatory signaling. Abnormally increased BK can result in life threatening Hereditary Angioedema (HAE), characterized by severe reoccurring swelling. FXII is critical for pathogenic thrombosis, but is dispensable for hemostasis. This unique property of FXII makes it an attractive drug target. We hypothesized that the identification of a specific inhibitor for activated FXII could lead to the reduction of Hereditary Angioedema Type III (HAE III) symptoms and hinder thrombosis formation without an increased risk for bleeding. In this study, we presented an extension of our previous work, which dealt with high-throughput screening of plant extracts and a large compound collections to target FXIIa. We identified myricitin as a candidate compound via a systemic experimental screening. Chromogenic activated FXII activity assays were preformed to test the effects of myricitrin analogues on plasma enzymes (FXIIa, FXIa, and kallikrein). To assess the inhibitory effects of candidate compounds on these proteases, the release of paranitrianalide from the chromogenic substrates were measured as an indicator of FXIIa, FXIa, or kallikrein activity. The results of this study showed that myricetin, an analogue of myricitrin, significantly inhibited FXIIa at the sub-micromolar to the low micromolar concentration range. Overall, myricetin has the potential to be a useful multifunctional therapeutic drug in patients with HAE and thrombolytic diseases

Crystal Spectroscopy at the Johns Hopkins University, September 1966

Crystal spectroscopy research, and free ion analyse

Applying matrix product operators to model systems with long-range interactions

An algorithm is presented which computes a translationally invariant matrix product state approximation of the ground state of an infinite 1D system; it does this by embedding sites into an approximation of the infinite ``environment'' of the chain, allowing the sites to relax, and then merging them with the environment in order to refine the approximation. By making use of matrix product operators, our approach is able to directly model any long-range interaction that can be systematically approximated by a series of decaying exponentials. We apply our techniques to compute the ground state of the Haldane-Shastry model and present results.Comment: 7 pages, 3 figures; manuscript has been expanded and restructured in order to improve presentation of the algorith

Finite automata for caching in matrix product algorithms

A diagram is introduced for visualizing matrix product states which makes transparent a connection between matrix product factorizations of states and operators, and complex weighted finite state automata. It is then shown how one can proceed in the opposite direction: writing an automaton that ``generates'' an operator gives one an immediate matrix product factorization of it. Matrix product factorizations have the advantage of reducing the cost of computing expectation values by facilitating caching of intermediate calculations. Thus our connection to complex weighted finite state automata yields insight into what allows for efficient caching in matrix product algorithms. Finally, these techniques are generalized to the case of multiple dimensions.Comment: 18 pages, 19 figures, LaTeX; numerous improvements have been made to the manuscript in response to referee feedbac