The effects of spacecraft environments on some hydrolytic enzyme patterns in bacteria

The effects of space flight on the production and characteristics of proteolytic enzymes are studied for a number of bacterial species isolated from crew members and spacecraft. Enzymatic make-up and cultural characteristics of bacteria isolated from spacecraft crew members are determined. The organism Aeromonas proteolytica and the proteolytic enzymes which it produces are used as models for future spacecraft experiments

Using the general equilibrium growth model to study great depressions: a reply to Temin

Three of the arguments made by Temin (2008) in his review of Great Depressions of the Twentieth Century are demonstrably wrong: that the treatment of the data in the volume is cursory; that the definition of great depressions is too general and, in particular, groups slow growth experiences in Latin America in the 1980s with far more severe great depressions in Europe in the 1930s; and that the book is an advertisement for the real business cycle methodology. Without these three arguments — which are the results of obvious conceptual and arithmetical errors, including copying the wrong column of data from a source — his review says little more than that he does not think it appropriate to apply our dynamic general equilibrium methodology to the study of great depressions, and he does not like the conclusion that we draw: that a successful model of a great depression needs to be able to account for the effects of government policy on productivity.

Blogging as a viable research methodology for young people with arthritis: a qualitative study.

The development of services that are responsive to the needs of users is a health policy priority. Finding ways of engaging young people in research to gain insights into their particular experiences, perspectives, and needs is vital but challenging. These data are critical to improving services in ways that meet the needs of young people

Elliptical slice sampling

Many probabilistic models introduce strong dependencies between variables using a latent multivariate Gaussian distribution or a Gaussian process. We present a new Markov chain Monte Carlo algorithm for performing inference in models with multivariate Gaussian priors. Its key properties are: 1) it has simple, generic code applicable to many models, 2) it has no free parameters, 3) it works well for a variety of Gaussian process based models. These properties make our method ideal for use while model building, removing the need to spend time deriving and tuning updates for more complex algorithms.Comment: 8 pages, 6 figures, appearing in AISTATS 2010 (JMLR: W&CP volume 6). Differences from first submission: some minor edits in response to feedback

Improving Access to Justice in State Courts with Platform Technology

Access to justice often equates to access to state courts, and for millions of Americans, using state courts to resolve their disputes—often with the government—is a real challenge. Reforms are regularly proposed in the hopes of improving the situation (e.g., better legal aid), but until recently a significant part of the problem has been structural. Using state courts today for all but the simplest of legal transactions entails at the very least traveling to a courthouse and meeting with a decision maker in person and in a one-on-one setting. Even minimally effective access, therefore, requires time, transportation, and very often the financial wherewithal to miss work or to pay for child care. In this Article, I investigate the effects of altering this structural baseline by studying the consequences of introducing online platform technology to improve citizen access to justice. In courts that adopt the technology, citizens are able to communicate with law enforcement, prosecutors, and judges to seek relief or negotiate a resolution through an online portal at any time of day. Examining many months of data from half a dozen adopting state courts, I present evidence that introducing this technology dramatically reduces the amount of time it takes for citizens to resolve their disputes and satisfy any fines or fees they owe. Default rates also plummet, and court personnel, including judges, appear to engage constructively with citizens when using the platform. From the perspective of state courts, disputes end more quickly, the percentage of payments received increases, and it takes less time for courts to receive those payments. Even citizens who do not use the platform may benefit from the technology’s introduction, presumably because they find they face less congestion when they physically go to a courthouse