Factors affecting the heat coagulation of homogenized coffee cream

Cover title.Bibliography: p. 578

Textpresso for Neuroscience: Searching the Full Text of Thousands of Neuroscience Research Papers

Textpresso is a text-mining system for scientific literature. Its two major features are access to the full text of research papers and the development and use of categories of biological concepts as well as categories that describe or relate objects. A search engine enables the user to search for one or a combination of these categories and/or keywords within an entire literature. Here we describe Textpresso for Neuroscience, part of the core Neuroscience Information Framework (NIF). The Textpresso site currently consists of 67,500 full text papers and 131,300 abstracts. We show that using categories in literature can make a pure keyword query more refined and meaningful. We also show how semantic queries can be formulated with categories only. We explain the build and content of the database and describe the main features of the web pages and the advanced search options. We also give detailed illustrations of the web service developed to provide programmatic access to Textpresso. This web service is used by the NIF interface to access Textpresso. The standalone website of Textpresso for Neuroscience can be accessed at http://www.textpresso.org/neuroscience

The Long Wavelength Array Software Library

The Long Wavelength Array Software Library (LSL) is a Python module that provides a collection of utilities to analyze and export data collected at the first station of the Long Wavelength Array, LWA1. Due to the nature of the data format and large-N ($\gtrsim$100 inputs) challenges faced by the LWA, currently available software packages are not suited to process the data. Using tools provided by LSL, observers can read in the raw LWA1 data, synthesize a filter bank, and apply incoherent de-dispersion to the data. The extensible nature of LSL also makes it an ideal tool for building data analysis pipelines and applying the methods to other low frequency arrays.Comment: accepted to the Journal of Astronomical Instrumentation; 24 pages, 4 figure

Trends in treated drug misuse in the Midland Health Board Area 1996-2000. Occasional Paper no. 3.

This occasional paper contains information gathered by the National Drug Treatment Reporting System (NDTRS), an epidemiological database on treated drug misuse complied by the Drug Misuse Research Division (DMRD) of the Health Research Board (HRB). The data shows that between 1996 and 1999 the number of drug users presenting for treatment within the Midland Health Board (MHB) had more than doubled, from 63 clients in 1996 to 150 clients in 2000. The socio-demographic data showed that the typical client is male, in his early twenties and living in the family home. Clients were slightly older in 2000 than in 1996,with the mean age for all contacts rising from 22 years in 1996 to 24 years old in 2000. Cannabis is the main drug causing problems (67% in 2000), with opiates the drug causing second most problems (38% in the same year). In 2000 the majority (33 of 56 clients) inject their opiates, with over two thirds of IDUs having shared injecting equipment

A Reassessment of the Potential for Loss-framed Incentive Contracts to Increase Productivity: A Meta-analysis and a Real-effort Experiment

Substantial productivity increases have been reported when incentives are framed as losses rather than gains. Loss-framed contracts have also been reported to be preferred by workers. The results from our meta-analysis and real-effort experiment challenge these claims. The meta-analysis\u27 summary effect size of loss framing is a 0.16 SD increase in productivity. Whereas the summary effect size in laboratory experiments is a 0.33 SD, the summary effect size from field experiments is 0.02 SD. We detect evidence of publication biases among laboratory experiments. In a new laboratory experiment that addresses prior design weaknesses, we estimate an effect size of 0.12 SD. This result, in combination with the meta-analysis, suggests that the difference between the effect size estimates in laboratory and field experiments does not stem from the limited external validity of laboratory experiments, but may instead stem from a mix of underpowered laboratory designs and publication biases. More- over, in our experiment, most workers preferred the gain-framed contract and the increase in average productivity is only detectable in the subgroup of workers (20%) who preferred the loss-framed contracts. Based on the results from our experiment and meta-analysis, we believe that behavioral scientists should better assess preferences for loss-framed contracts and the magnitude of their effects on productivity before advocating for greater use of such contracts among private and public sector actors