The Efficiency Gains from Fully Delineating Rights in an ITQ Fishery

Individual transferable quota (ITQ) regulation relies on a decentralized market mechanism and a single price to allocate access to a stock of fish. The resulting allocation will not be fully efficient if the stock being allocated is heterogeneous or if there are potential gains from centralized coordination of harvesting effort. If stocks are heterogeneous in their density, location, or unit value during the season, harvesters governed by an ITQ policy will not be indifferent to when or where they exercise their quotas. Stocks that are relatively dense and/or close to port will be preferred to those less dense or more remote. Because an ITQ policy assigns the same opportunity cost for each unit harvested, individual harvesters have an incentive to compete for higher-valued units, and such competition may dissipate part of the fishery’s potential rent. A similar phenomenon arises when stock densities vary in an unknown way over space or time, so harvesters must engage in costly search. Individual harvesters governed by an ITQ policy still face a collective action problem which limits the incentive to share information on stock locations. This can lead to redundant search effort. We demonstrate that both sources of inefficiency can be eliminated either by defining ITQ rights more precisely or by an agreement among harvesters to coordinate their effort. We develop models that illustrate these effects and identify the factors that determine their likely size. Anecdotal evidence on practices adopted by fishery cooperatives is presented to illustrate the practical relevance of the issues we raise.ITQ fishery, cooperative, search, game theory, property rights, Environmental Economics and Policy, Institutional and Behavioral Economics, International Relations/Trade, Q22, D23, K11,

Adaptive intelligent personalised learning (AIPL) environment

As individuals the ideal learning scenario would be a learning environment tailored just for how we like to learn, personalised to our requirements. This has previously been almost inconceivable given the complexities of learning, the constraints within the environments in which we teach, and the need for global repositories of knowledge to facilitate this process. Whilst it is still not necessarily achievable in its full sense this research project represents a path towards this ideal.In this thesis, findings from research into the development of a model (the Adaptive Intelligent Personalised Learning (AIPL)), the creation of a prototype implementation of a system designed around this model (the AIPL environment) and the construction of a suite of intelligent algorithms (Personalised Adaptive Filtering System (PAFS)) for personalised learning are presented and evaluated. A mixed methods approach is used in the evaluation of the AIPL environment. The AIPL model is built on the premise of an ideal system being one which does not just consider the individual but also considers groupings of likeminded individuals and their power to influence learner choice. The results show that: (1) There is a positive correlation for using group-learning-paradigms. (2) Using personalisation as a learning aid can help to facilitate individual learning and encourage learning on-line. (3) Using learning styles as a way of identifying and categorising the individuals can improve their on-line learning experience. (4) Using Adaptive Information Retrieval techniques linked to group-learning-paradigms can reduce and improve the problem of mis-matching. A number of approaches for further work to extend and expand upon the work presented are highlighted at the end of the Thesis

Review of \u3cem\u3eRights Gone Wrong: How Law Corrupts the Struggle for Equality.\u3c/em\u3e Richard Thompson Ford. Reviewed by Robert Costello.

Book review of Richard Thompson Ford, Rights Gone Wrong: How Law Corrupts the Struggle for Equality (2011). New York: Farrar, Straus & Giroux. $27.00 (hardcover)

Light trap collections of Culicoides (Diptera: Ceratophogonidae) in the Fraser Valley of British Columbia

Because information was lacking about <i>Culicoides</i> spp. occurring in British Columbia, a survey was carried out to determine the species present in the Fraser Valley. Seven light traps sampled adult <i>Culicoides</i> from June 5 to August 30, 1976. Ten species and one species group were collected, of which six were not previously known to occur in British Columbia. <i>C. obsoletus</i> (Meigen) comprised 99.3 per cent of the total catch of 15,863 adults. <i>C. occidentalis</i> (Wirth and Jones) and <i>C. variipennis</i> (Coquillett), proven vectors of bluetongue virus in North America, were not collected

The European Parliament’s transnational party groups are surprisingly cohesive, but don’t underestimate the potential for national divisions

Members of the European Parliament (MEPs) do not sit in country blocs, rather they sit in pan-European ideological party groupings. But how cohesive are these groups? Rory Costello and Robert Thomson argue that they are remarkably so – but that the potential for divides along national lines is great, particularly with MEPs who share a party with their country’s government

My Old Gal

https://digitalcommons.library.umaine.edu/mmb-vp/3314/thumbnail.jp

When Grandma Sings The Songs She Loved At The End Of A Perfect Day

https://digitalcommons.library.umaine.edu/mmb-vp/2666/thumbnail.jp

Sal - O - May (Salome) : Song Of The Orient And Fox Trot

https://digitalcommons.library.umaine.edu/mmb-vp/3357/thumbnail.jp

Can Zipf's law be adapted to normalize microarrays?

BACKGROUND: Normalization is the process of removing non-biological sources of variation between array experiments. Recent investigations of data in gene expression databases for varying organisms and tissues have shown that the majority of expressed genes exhibit a power-law distribution with an exponent close to -1 (i.e. obey Zipf's law). Based on the observation that our single channel and two channel microarray data sets also followed a power-law distribution, we were motivated to develop a normalization method based on this law, and examine how it compares with existing published techniques. A computationally simple and intuitively appealing technique based on this observation is presented. RESULTS: Using pairwise comparisons using MA plots (log ratio vs. log intensity), we compared this novel method to previously published normalization techniques, namely global normalization to the mean, the quantile method, and a variation on the loess normalization method designed specifically for boutique microarrays. Results indicated that, for single channel microarrays, the quantile method was superior with regard to eliminating intensity-dependent effects (banana curves), but Zipf's law normalization does minimize this effect by rotating the data distribution such that the maximal number of data points lie on the zero of the log ratio axis. For two channel boutique microarrays, the Zipf's law normalizations performed as well as, or better than existing techniques. CONCLUSION: Zipf's law normalization is a useful tool where the Quantile method cannot be applied, as is the case with microarrays containing functionally specific gene sets (boutique arrays)