984 resultados para Network developments


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Developing guidelines for sustainable freshwater aquaculture planning in Vietnam. Aquaculture production, certification and trade: Challenges and opportunities for the small-scale farmer in Asia. The successful development of backyard hatcheries for crustaceans in Thailand. Alternate carp species for diversification in freshwater aquaculture in India. Genetic and reproduction technologies for enhanced aquaculture and fisheries management of Murray cod. Effluent and disease management in traditional practices of shrimp farming: A case study on the west coast of Sabah, Malaysia. Status of sahar domestication and its development in the Himalayan Region of Nepal. Vaccination benefits highlighted as Schering-Plough reinforces commitment to Asian aquaculture. Comparative advantage analysis of shrimp production in Asia. Strategies to improve livelihood of the rural poor: A case study in two small reservoirs in Binh Phuoc Province, Vietnam. Cambodian Government ban on snakehead farming enforced. Marine finfish aquaculture developments at ‘Indonesian Aquaculture 2007’. Production update – marine finfish aquaculture in the Asia-Pacific region. Body size of rotifers from estuaries in North Sulawesi. NACA Newsletter.

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In this paper we empirically investigate which are the structural characteristics that can help to predict the complexity of NK-landscape instances for estimation of distribution algorithms. To this end, we evolve instances that maximize the estimation of distribution algorithm complexity in terms of its success rate. Similarly, instances that minimize the algorithm complexity are evolved. We then identify network measures, computed from the structures of the NK-landscape instances, that have a statistically significant difference between the set of easy and hard instances. The features identified are consistently significant for different values of N and K.

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This study examines the development of the Community Fisheries Sub-Decree. From its promulgation in late 2000 through its draft form in June 20021, this sub-decree has gone through over 25 drafts. Initially, the writing process involved the public intimately: community meetings were conducted, NGOs contributed their knowledge and expertise, and then, with these consultations in mind, the newly-formed Community Fisheries Development Office (CFDO) in the Department of Fisheries (DoF) drafted the sub-decree. Over the following year and a half, the sub-decree went through numerous changes, some of which fundamentally alter the tenor of the legislation. This includes the deletion of some of the primary issues of rural communities, such as what fishing gears they can use and whether they can participate in patrolling the fishing area. While the final form is still pending, there are many questions as to the positive effects that the sub-decree will ultimately have on people’s livelihoods when it is finally approved. This research was undertaken to track the development of the sub-decree to gain a better understanding of how the Cambodian policy-making system functions. Consultations were undertaken with the DoF and CFDO before the research began, both of which agreed to the study. It is hoped that this report will help not only those interested in community fisheries issues, but also those who want to advocate on other Cambodian development issues as well. Due to the sensitive nature of the subject material, and the fact that the sub-decree is still pending, the author has conducted interviews with the express purpose of keeping them confidential. Therefore, no individual will be quoted directly in this study. In addition, many of the English versions of the drafts examined were unofficial translations. The author has made no effort to correct the English in the drafts. Moreover, there are also questions regarding the drafts and their sequence, as no government records were kept of the process or the changes that were made along the way. These have been compiled after the fact. (33 p.)

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We report the findings of an experiment designed to study how people learn and make decisions in network games. Network games offer new opportunities to identify learning rules, since on networks (compared to e.g. random matching) more rules differ in terms of their information requirements. Our experimental design enables us to observe both which actions participants choose and which information they consult before making their choices. We use this information to estimate learning types using maximum likelihood methods. There is substantial heterogeneity in learning types. However, the vast majority of our participants' decisions are best characterized by reinforcement learning or (myopic) best-response learning. The distribution of learning types seems fairly stable across contexts. Neither network topology nor the position of a player in the network seem to substantially affect the estimated distribution of learning types.