Estimating Two-Stage Models for Genetic Influences on Alcohol, Tobacco or Drug Use Initiation and Dependence Vulnerability in Twin and Family Data

Genetic research on risk of alcohol, tobacco or drug dependence must make allowance for the partial overlap of risk-factors for initiation of use, and risk-factors for dependence or other outcomes in users. Except in the extreme cases where genetic and environmental risk-factors for initiation and dependence overlap completely or are uncorrelated, there is no consensus about how best to estimate the magnitude of genetic or environmental correlations between Initiation and Dependence in twin and family data. We explore by computer simulation the biases to estimates of genetic and environmental parameters caused by model misspecification when Initiation can only be defined as a binary variable. For plausible simulated parameter values, the two-stage genetic models that we consider yield estimates of genetic and environmental variances for Dependence that, although biased, are not very discrepant from the true values. However, estimates of genetic (or environmental) correlations between Initiation and Dependence may be seriously biased, and may differ markedly under different two-stage models. Such estimates may have little credibility unless external data favor selection of one particular model. These problems can be avoided if Initiation can be assessed as a multiple-category variable (e.g. never versus early-onset versus later onset user), with at least two categories measurable in users at risk for dependence. Under these conditions, under certain distributional assumptions., recovery of simulated genetic and environmental correlations becomes possible, Illustrative application of the model to Australian twin data on smoking confirmed substantial heritability of smoking persistence (42%) with minimal overlap with genetic influences on initiation.

Technical, allocative, cost and scale efficiencies in Bangladesh rice cultivation: A non-parametric approach

Applying programming techniques to detailed data for 406 rice farms in 21 villages, for 1997, produces inefficiency measures, which differ substantially from the results of simple yield and unit cost measures. For the Boro (dry) season, mean technical efficiency was efficiency was 56.2 per cent and 69.4 per cent, allocative efficiency was 81.3 per cent, cost efficiency was 56.2 per cent and scale efficiency 94.9 per cent. The Aman (wet) season results are similar, but a few points lower. Allocative inefficiency is due to overuse of labour, suggesting population pressure, and of fertiliser, where recommended rates may warrant revision. Second-stage regressions show that large families are more inefficient, whereas farmers with better access to input markets, and those who do less off-farm work, tend to be more efficient. The information on the sources of inter-farm performance differentials could be used by the extension agents to help inefficient farmers. There is little excuse for such sub-optimal use of survey data, which are often collected at substantial costs.

High-performance L-band series and parallel switches using low-cost p-i-n diodes

Low-cost UHF-band p-i-n diodes are used to develop high-performance L-band series and parallel switches. To stop the rectification of large RF, signals, the diodes are biased at a large reverse-bias voltage. Parasitic elements of the diodes are tuned out using LC circuits in biasing circuits without increasing the size of the switches. (C) 2002 John Wiley Sons, Inc.

A hedging point strategy - balancing effluent quality, economy and robustness in the control of wastewater treatment plants

An operational space map is an efficient tool to compare a large number of operational strategies to find an optimal choice of setpoints based on a multicriterion. Typically, such a multicriterion includes a weighted sum of cost of operation and effluent quality. Due to the relative high cost of aeration such a definition of optimality result in a relatively high fraction of the effluent total nitrogen in the form of ammonium. Such a strategy may however introduce a risk into operation because a low degree of ammonium removal leads to a low amount of nitrifiers. This in turn leads to a reduced ability to reject event disturbances, such as large variations in the ammonium load, drop in temperature, the presence of toxic/inhibitory compounds in the influent etc. Hedging is a risk minimisation tool, with the aim to "reduce one's risk of loss on a bet or speculation by compensating transactions on the other side" (The Concise Oxford Dictionary (1995)). In wastewater treatment plant operation hedging can be applied by choosing a higher level of ammonium removal to increase the amount of nitrifiers. This is a sensible way to introduce disturbance rejection ability into the multi criterion. In practice, this is done by deciding upon an internal effluent ammonium criterion. In some countries such as Germany, a separate criterion already applies to the level of ammonium in the effluent. However, in most countries the effluent criterion applies to total nitrogen only. In these cases, an internal effluent ammonium criterion should be selected in order to secure proper disturbance rejection ability.

Pro re nata medication for psychoses: an audit of practice in two metropolitan hospitals

Objective: To examine the use of pro re nata (PRN) (as needed) medication in hospitalized patients with psychotic disorders. Methods: Retrospective chart reviews were conducted at two large public psychiatry units situated in inner city general hospitals. Pro re nata medication prescription, administration and outcomes were examined during inpatient episodes of care for 184 consecutive admissions of patients diagnosed with a psychotic disorder. Patient demographics, diagnoses, and regularly prescribed medication were also recorded. All admissions were drawn from a three-month period from December 1998-February 1999. Results: The most prevalent diagnoses were schizophrenia related disorders (n = 111) and mania (n = 34). Substance use disorders (n = 49) were the most common comorbid dis-orders. Pro re nata medication was administered during the acute phase of 82% of admissions. Drugs prescribed Pro re nata were mostly typical antipsychotics, benzodiazepines and/or anti-cholinergics. Coprescription of typical antipsychotics PRN with regularly scheduled atypical antipsychotics was common (64%). Pro re nata medications accounted for 31% of the total antipsychotic dose and 28% of the total anxiolytic dose administered during acute treatment. Higher daily doses of PRN medication were given to manic patients, males, younger patients and those with substance use disorders. Pro re nata prescriptions usually specified a maximum daily dose (87%) but rarely gave indications for use (6%). Adminis-tration records frequently lacked a specified reason for use (48%) or a notation of outcome (64%). Unit staff noted medication-related morbidity in 37% of patients receiving PRN medication, compared to 3% of patients receiving only regularly scheduled medication. Extrapyramidal symptoms (EPS) were most frequently associated with administration of PRN haloperidol (Relative Risk vs other PRN medications = 5.61, 95% CI = 2.36-13.73). Conclusions: Pro re nata medications comprised a significant part of the treatment which psychotic patients received. The common practice of coprescribing PRN typical antipsychotics with scheduled atypical antipsychotics is potentially problematical since administration of PRN medication is associated with significant medication related morbidity. Preferential use of benzodiazepines as PRN agents may minimize this morbidity and foster subsequent compliance with regularly prescribed antipsychotics.