Harm minimization in a prohibition context - Australia

Australia ranks high internationally in the prevalence of cannabis and other illicit drug use, with the prevalence of all illicit drug use increasing since the 1970s. There are two distinctive features associated with harms from injecting drug use-high rates of death from heroin overdose and low rates of HIV infection. Australia has largely avoided a punitive and moralistic drug policy, developing instead harm minimization strategies and a robust treatment framework embedded in a strong law enforcement regime. Two illustrations of Australian drug policy are presented: legislation that provides for the expiation of simple cannabis offences by payment of a fine and the widespread implementation of agonist maintenance treatment for heroin dependence.

On learning context-free and context-sensitive languages

The long short-term memory (LSTM) is not the only neural network which learns a context sensitive language. Second-order sequential cascaded networks (SCNs) are able to induce means from a finite fragment of a context-sensitive language for processing strings outside the training set. The dynamical behavior of the SCN is qualitatively distinct from that observed in LSTM networks. Differences in performance and dynamics are discussed.

Telemedicine for new neurological outpatients: putting a randomized controlled trial in the context of everyday practice

In a retrospective review, the telemedical management of 65 outpatients from a randomized controlled trial (RCT) of telemedicine for non-urgent referrals to a consultant neurologist was compared with the management of 76 patients seen face to face in the same trial, with that of 150 outpatients seen in the neurology clinics of district general hospitals and with that of 102 neurological outpatients seen by general physicians. Outcome measures were the numbers of investigations and of patient reviews. The telemedicine group did not differ significantly from the 150 patients seen face to face by neurologists in hospital clinics in terms of either the number of investigations or the number of reviews they received. Patients from the RCT seen face to face had significantly fewer investigations but a similar number of reviews to the other 150 patients seen face to face by neurologists (the disparity in the number of investigations may explain the negative result for telemedicine in that RCT). Patients with neurological symptoms assessed by general physicians had significantly more investigations and were reviewed significantly more often than all the other groups. Patients from the RCT seen by telemedicine were not managed significantly differently from those seen face to face by neurologists in hospital clinics but had significantly fewer investigations and follow-ups than those patients managed by general physicians. The results suggest that management of new neurological outpatients by neurologists using telemedicine is similar to that by neurologists using a face-to-face consultation, and is more efficient than management by general physicians.

Communism and Carnival: Ralph de Boissieres Crown Jewel and its Australian Context

The Australasian Book Society (ABS) was established in Melbourne in 1952 by a small group ofleft-leaning writers, unionists and literary supporters. It was inspired in part by the success of Frank Hardy's scandalous novel of Labar betrayal, Power Without Glory, which in 1950 had been published independently - and printed secretly - outside the commercial publishing networks. Many of those involved were communists but although the ABS came to operate in accord ,..rith Communist Party cultural politics it was never Simply a Party front nor did it publish only communist writers or communist texts. For the most part it operated under a broader notion of 'progressive' , nationalist or democratic literature.

Testing landscape metrics as indicators of habitat loss and fragmentation in continuous eucalypt forests (Queensland, Australia)

Landscape metrics are widely applied in landscape ecology to quantify landscape structure. However, many are poorly tested and require rigorous validation if they are to serve as reliable indicators of habitat loss and fragmentation, such as Montreal Process Indicator 1.1e. We apply a landscape ecology theory, supported by exploratory and confirmatory statistical techniques, to empirically test landscape metrics for reporting Montreal Process Indicator 1.1e in continuous dry eucalypt forests of sub-tropical Queensland, Australia. Target biota examined included: the Yellow-bellied Glider (Petaurus australis); the diversity of nectar and sap feeding glider species including P. australis, the Sugar Glider P. breviceps, the Squirrel Glider P. norfolcensis, and the Feathertail Glider Acrobates pygmaeus; six diurnal forest birds species; total diurnal bird species diversity; and the density of nectar-feeding diurnal bird species. Two scales of influence were considered: the stand-scale (2 ha), and a series of radial landscape extents (500 m - 2 km; 78 - 1250 ha) surrounding each fauna transect. For all biota, stand-scale structural and compositional attributes were found to be more influential than landscape metrics. For the Yellow-bellied Glider, the proportion of trace habitats with a residual element of old spotted-gum/ironbark eucalypt trees was a significant landscape metric at the 2 km landscape extent. This is a measure of habitat loss rather than habitat fragmentation. For the diversity of nectar and sap feeding glider species, the proportion of trace habitats with a high coefficient of variation in patch size at the 750 m extent was a significant landscape metric. None of the landscape metrics tested was important for diurnal forest birds. We conclude that no single landscape metric adequately captures the response of the region's forest biota per se. This poses a major challenge to regional reporting of Montreal Process Indicator 1.1e, fragmentation of forest types.

The use of stochastic dynamic programming in optimal landscape reconstruction for metapopulations

A decision theory framework can be a powerful technique to derive optimal management decisions for endangered species. We built a spatially realistic stochastic metapopulation model for the Mount Lofty Ranges Southern Emu-wren (Stipiturus malachurus intermedius), a critically endangered Australian bird. Using diserete-time Markov,chains to describe the dynamics of a metapopulation and stochastic dynamic programming (SDP) to find optimal solutions, we evaluated the following different management decisions: enlarging existing patches, linking patches via corridors, and creating a new patch. This is the first application of SDP to optimal landscape reconstruction and one of the few times that landscape reconstruction dynamics have been integrated with population dynamics. SDP is a powerful tool that has advantages over standard Monte Carlo simulation methods because it can give the exact optimal strategy for every landscape configuration (combination of patch areas and presence of corridors) and pattern of metapopulation occupancy, as well as a trajectory of strategies. It is useful when a sequence of management actions can be performed over a given time horizon, as is the case for many endangered species recovery programs, where only fixed amounts of resources are available in each time step. However, it is generally limited by computational constraints to rather small networks of patches. The model shows that optimal metapopulation, management decisions depend greatly on the current state of the metapopulation,. and there is no strategy that is universally the best. The extinction probability over 30 yr for the optimal state-dependent management actions is 50-80% better than no management, whereas the best fixed state-independent sets of strategies are only 30% better than no management. This highlights the advantages of using a decision theory tool to investigate conservation strategies for metapopulations. It is clear from these results that the sequence of management actions is critical, and this can only be effectively derived from stochastic dynamic programming. The model illustrates the underlying difficulty in determining simple rules of thumb for the sequence of management actions for a metapopulation. This use of a decision theory framework extends the capacity of population viability analysis (PVA) to manage threatened species.