Patterns of use of natural health products by Ontario seniors

A random dialing telephone survey of 1,071 60+ year-olds in 4 Ontario communities identified 553 (52%) users of natural health products. Mean age was 72 yrs (min-max:60-95); 76% were female. The most frequently reported natural health products were: echinacea (27%), glucosamine (26%), garlic (20%), ginkgo biloba (10%), St. John's wort (5%), ginseng (5%), flax seed oil (3%), evening primrose oil (2%), devil's claw (2%), saw palmetto (2%). Natural source vitamin use was reported by 24% of users, and 6% reporting using herbal teas. 51% of users used 2 or more herbal products and 8% used 5 or more products. 19% of herbal users also used a conventional prescription drug to manage the same health problem as the herbal product. The reported range of monthly expenditures for these products varied from a few cents (grew their own) to $288 (CAN). Thirty-five percent of users did not know the price of at least one of their natural products. Of the 75% of respondents willing to disclose their annual household income ($CAN), 20 had an income of $46,000. The widespread use and potential for significant expenditure of limited resources would suggest that more study is required into the efficacy, safety and value of these products.

Fatigue Life Assessment and Static Testing of Structural GFRP Tubes Based on Coupon Tests

Fiber-reinforced polymer (FRP) hollow tubes are used in structural applications, such as utility poles and pipelines. Concrete-filled FRP tubes (CFFTs) are also used as piles and bridge piers. Applications such as poles and marine piles are typically governed by cyclic bending. In this paper, the fatigue behavior of glass-FRP filament-wound tubes is studied using coupons cut from the tubes. Several coupon configurations were first examined in 24 tension and five compression monotonic loading tests. Fatigue tests were then conducted on 81 coupons to examine several parameters; namely, loading frequency as well as maximum-to-ultimate (max ult) and minimum-to-maximum (min max) stress ratios, including tension tension and tension compression, to simulate reversed bending. The study demonstrated the sensitivity of test results and failure mode to coupon configuration. The presence of compression loads reduced fatigue life, while increasing load frequency increased fatigue life. Stiffness degradation behavior was also established. To achieve at least one million cycles, it is recommended to limit (max ult) to 0.25. Models were used to simulate stiffness degradation and fatigue life curve of the tube. Fatigue life predictions of large CFFT beams showed good correlation with experimental results. © 2008 ASCE.

Min-BDeu and Max-BDeu Scores for Learning Bayesian Networks

This work presents two new score functions based on the Bayesian Dirichlet equivalent uniform (BDeu) score for learning Bayesian network structures. They consider the sensitivity of BDeu to varying parameters of the Dirichlet prior. The scores take on the most adversary and the most beneficial priors among those within a contamination set around the symmetric one. We build these scores in such way that they are decomposable and can be computed efficiently. Because of that, they can be integrated into any state-of-the-art structure learning method that explores the space of directed acyclic graphs and allows decomposable scores. Empirical results suggest that our scores outperform the standard BDeu score in terms of the likelihood of unseen data and in terms of edge discovery with respect to the true network, at least when the training sample size is small. We discuss the relation between these new scores and the accuracy of inferred models. Moreover, our new criteria can be used to identify the amount of data after which learning is saturated, that is, additional data are of little help to improve the resulting model.