To Weigh

Response: TIPsters Weigh In: Putting Good Science to Work

Richard A. Rawson: The paper struck me first of all as a valuable personal account of a treatment program achieving positive outcomes with methamphetamine abusers. There has been a pervasive, unsubstantiated rumor that meth abusers do not respond to treatment. Recent studies (e.g., Hser, Evans, and Huang, 2005; Rawson et al., 2004; Roll et al., 2006) have begun to dispel that myth and prove tha...

Health and social scientists need to weigh in.

To the Editor: In South Africa, a substantial segment of the population is overweight.1 In 2000, non-communicable diseases (NCDs) accounted for 37% of deaths among adults2 and this figure is rising alongside expanding waistlines. Overweight children are twice as likely to have elevated blood pressure, 13 times more likely to have elevated insulin levels, and 7 times more likely to have higher t...

SCIP measures to weigh in Medicare pay starting in 2013.

What should we weigh to estimate heterozygosity, alleles or loci?

The interest to study the effects of inbreeding in natural populations has increased in the last years. Several microsatellite-derived metrics have recently been developed to infer inbreeding from multilocus heterozygosity data without requiring detailed pedigrees that are difficult to obtain in open populations. Internal relatedness (IR) is currently the most widespread used index and its main...

Learning to Weigh Basic Behaviors in Scalable gents

We are working on the use of Reinforcement Learning (RL)[3] algorithms to design automatically reactive situated agents limited to only local perceptions. Unfortunately, as good RL algorithms suffer from combinatorial explosion, their use is generally limited to simple problems. As shown on the tile-world example of figure 1, we propose to overcome these difficulties by making the hypothesis, a...