The high number of data accumulated so far has created the grounds for the construction of a database on the effects of a number of GAGs on different proteins.
The result is the first database on the effects of food processing on polyphenol content and, following the model initially defined for Phenol-Explorer, all data may be traced back to original sources.
A primary concern for reducing uncertainty in the application of an MeHg MI dose response function to the general U.S. population is the need to expand the database of the effects of MeHg levels on MI risk in general, especially in women, in minorities, and in patients who have preexisting cardiovascular disease.
In this work, we report the construction of EXPOLDB (EXpression linked POLymorphism Data Base), a novel database focusing on the effect of (TG/CA)n repeats on transcription level and variation between individuals.
The resulting report, Arsenic in Drinking Water 2001 Update (NRC 2001), concluded that there was a sound database on the carcinogenic effects of arsenic in humans that was adequate for the purpose of risk assessment, and that lung and bladder cancer should continue to be the focus of arsenic risk assessment for regulatory decision making.
Analysis of the TCGA database and the effect of hHSS1 on cell cycle, migration and invasion of glioma-derived cells, as well as the effect of hHSS1 on the angiogenic properties of HUVEC are described.
For abattoir and database data, the effect of breed on individual cow data (age, carcass conformation score, fatness score and body weight) was fitted with linear regression models for continuous data, and with ordinal logistic regression models for ordered categorical data (carcass conformation score and fatness score).
The database contains data on the effects of parameters such as pH, Aw and levels of salt and nitrite on pathogen behavior.
Thus, we were able to extract such drug pricing information from a governmental online database to conduct an analysis on the effect that pricing transparency has had on drug purchase prices in two Brazilian states over a five-year period.
Mayer-Schönberger says that if everything about us is kept on internet databases, the effect, while not as drastic as in Price's case, is nevertheless similar.
