COEL: A Web-based Chemistry Simulation Framework

The chemical reaction network (CRN) is a widely used formalism to describe macroscopic behavior of chemical systems. Available tools for CRN modelling and simulation require local access, installation, and often involve local file storage, which is susceptible to loss, lacks searchable structure, and does not support concurrency. Furthermore, simulations are often single-threaded, and user interfaces are non-trivial to use. Therefore there are significant hurdles to conducting efficient and collaborative chemical research. In this paper, we introduce a new enterprise chemistry simulation framework, COEL, which addresses these issues. COEL is the first web-based framework of its kind. A visually pleasing and intuitive user interface, simulations that run on a large computational grid, reliable database storage, and transactional services make COEL ideal for collaborative research and education. COEL's most prominent features include ODE-based simulations of chemical reaction networks and multicompartment reaction networks, with rich options for user interactions with those networks. COEL provides DNA-strand displacement transformations and visualization (and is to our knowledge the first CRN framework to do so), GA optimization of rate constants, expression validation, an application-wide plotting engine, and SBML/Octave/Matlab export. We also present an overview of the underlying software and technologies employed and describe the main architectural decisions driving our development. COEL is available at http://coel-sim.org for selected research teams only. We plan to provide a part of COEL's functionality to the general public in the near future.Comment: 23 pages, 12 figures, 1 tabl

SEC IN-HOUSE TRIBUNALS: A CALL FOR REFORM

I IN the aftermath of the 1929 crash of the stock market and during the height of the Great Depression, the federal government took steps to strengthen U.S. securities laws.1 To that end, via the Securities Exchange Act of 1934, the U.S. Congress (Congress) created the U.S. Securities and Exchange Commission (SEC), whose “mission [is] to protect investors, maintain fair, orderly, and efficient markets, and facilitate capital formation.”2 As “the primary overseer and regulator of the U.S. securities markets,” the SEC has the power to bring enforcement actions against parties it believes to be in violation of the nation’s securities laws

Federal Preemption in Securities Laws, the Investment Contract, and Macroprudential Financial Regulation

In the United States, the registration and offering of securities are regulated at both the state and federal levels. Due to the inefficiencies of this system, many have argued that federal securities laws should expressly preempt state registration of securities. We agree that a more uniform federal securities regulation structure is needed both for economic efficiency as well as to focus our national securities regulation on systemic, or macroprudential, financial risk. However, we argue that an in order to create such a structure, the term security is needs to be redefined. The breadth and uncertainty of the current definition, largely because of the catch-all term investment contract, makes creating a sufficiently uniform system of federal preemption difficult, if not impossible, and provides too much uncertainty to issuers. This article discusses how this current broad definition is no longer necessary at the federal level and provides recommendations for how the federal definition of security can be revised to better equip our nation\u27s securities laws to regulate the modern investing environment and monitor systemic risk

Feedforward Chemical Neural Network: An In Silico Chemical System That Learns XOR

Inspired by natural biochemicals that perform complex information processing within living cells, we design and simulate a chemically implemented feedforward neural network, which learns by a novel chemical-reaction-based analogue of backpropagation. Our network is implemented in a simulated chemical system, where individual neurons are separated from each other by semipermeable cell-like membranes. Our compartmentalized, modular design allows a variety of network topologies to be constructed from the same building blocks. This brings us towards general-purpose, adaptive learning in chemico: wet machine learning in an embodied dynamical system

Experienced and anticipated discrimination and social functioning in persons with mental disabilities in Kenya: implications for employment

Introduction: Persons with mental illness experience social life restriction and stigma that may have implications for their work ability. The aims of this study are (i) to report experienced and anticipated discrimination and social functioning in persons with mental disabilities in Kenya and (ii) to investigate the association between experienced and anticipated discrimination, social functioning, and employment in this population. Materials and Methods: Cross-sectional study design where we randomly recruited 72 persons with mental illness through two networks of persons with psychosocial disabilities in Kenya. Experienced and anticipated discrimination were measured using the Discrimination and Stigma Scale version 12 (DISC 12) while social functioning was measured using the Social Functioning questionnaire (SFQ). Results: Experienced discrimination was reported by 81.9% in making or keeping friends, 69.7 and 56.3% in finding or keeping job, respectively, and 63.3% in dating or having an intimate relationship. Anticipated discrimination stopped 59.2% from applying for work, 40.8% from applying for education or training courses, and 63.4% from having a close personal relationship. Females reported an overall higher experienced discrimination than males. Unemployed participants had slightly increased rates of experienced and anticipated discrimination (9.5 vs. 9.1 and 2.5 vs. 2.3, respectively) (p > 0.05), while there was a significant association between impaired social functioning and unemployment [14.0 vs. 11.2 (p = 0.037)]. Conclusion: The rates of experienced and anticipated discrimination faced by persons with mental disabilities in Kenya is high and with significant gender disparity. Although no strong associations were observed between experienced and anticipated discrimination and employment, impaired social functioning of persons with mental disabilities seems to have implications for employment. Further research is essential to understand the predictors of the discrimination and measures to reduce them in persons with psychosocial disabilities