Teores de minerais no complexo solo-planta-animal de áreas de terras firmes do Amazonas.

A suposição de que prováveis deficiências de elementos minerais nas pastagens de terra firme do Estado do Amazonas estivessem relacionadas com o denominado "mal de secar", doença que ocorre em bovinos, oportunizou a realização do presente trabalho.

Parte aérea da mandioca na alimentação animal. II. O farelo da parte aérea na silagem do capim-elefante.

A inviabilidade economica da ensilagem de milho na regiao dos cerrados, devido aos custos muito elevados de insumos necessarios para a sua producao, leva os pecuaristas a ensilar outras forragens. Durante as forragens mais empregadas para ensilagem na regiao, destaca-se o capim-elefante (Pennisetum pupureum Shum) por ser uma graminea de porte grande, de boa producao de massa verde por hectare e bem difundida no meio rural.

Parte aérea da mandioca na alimentação animal. II. O farelo da parte aérea na silagem do capim-elefante.

1984

Arborização de pastagens: tecnologia para assegurar o bem-estar animal e a sustentabilidade das pastagens.

2008

A feminist trade union agenda? The continued significance of class, gender and race.

During the 1990s attempts to identify a feminist trade union agenda have focused on both the content and process of such a potential agenda. In a period in which trade unions have changed significantly, the general national agenda appears to be changing, acknowledging issues of importance to women. UNISON, Britain's largest trade union, has enshrined proportionality and fair representation in its constitution, developing national initiatives aimed at improving opportunities in work and in the union for women, black workers, manual workers, disabled workers, etc. who traditionally have been less well represented. Many issues affecting women generally have moved to centre stage, yet issues affecting women ancillary workers seem as excluded as ever. Through a study of cleaners in the National Health Service this article argues that workplace interests reflect wider social divisions, but in a variety of patterns depending on the social organization of work. Despite thewidening trade union agenda, particular interests — more specifically the workplace interests of working-class women and black women — continue to be neglected.

International transport costs and the margins of Intra-Latin American maritime trade.

This paper focuses on the analysis of the relationship between maritime trade and transport cost in Latin America. The analysis is based on disaggregated (SITC 5 digit level) trade data for intra Latin maritime trade routes over the period 1999-2004. The research contributes to the literature by disentangling the effects of transport costs on the range of traded goods (extensive margin) and the traded volumes of goods (intensive margin) of international trade in order to test some of the predictions of the trade theories that introduce firm heterogeneity in productivity, as well as fixed costs of exporting. Recent investigations show that spatial frictions (distance) reduce trade mainly by trimming the number of shipments and that most firms ship only to geographically proximate customers, instead of shipping to many destinations in quantities that decrease in distance. Our analyses confirm these findings and show that the opposite pattern is observed for ad-valorem freight rates that reduce aggregate trade values mainly by reducing the volume of imported goods (intensive margin).

A European Perspective on the Precautionary Principle, Food Safety and the Free Trade Imperative of the WTO

A European Perspective on the Precautionary Principle, Food Safety and the Free Trade Imperative of the WTO. European Law Review, Vol.27, No.2. April 2002, pp.138-155. RAE2008

Inter-regional transfer trade flows in the English football league

Perdikis, Nicholas, Thomas, Dennis, Inter-regional transfer trade flows in the English football league', Tijdschrift voor Economie en Management (2002) 47 (4) 477-509 RAE2008

Fitness of hybrids between rapeseed (Brassica napus) and wild Brassica rapa in natural habitats

J. Allainguillaume, M. Alexander, J. M. Bullock, M. Saunders, C. J. Allender, G. King, C. S. Ford, M. J. Wilkinson. (2006). Fitness of hybrids between rapeseed Brassica napus and wild Brassica rapa in natural habitats. Molecular Ecology, 15 (4) 1175-1184. RAE2008

Differences in growth and nitrogen productivity between a stay-green genotype and a wild-type of Lolium perenne under limiting relative addition rates of nitrate supply

James Macduff, Neil Raistrick and Mervyn Humphreys (2002). Differences in growth and nitrogen productivity between a stay-green genotype and a wild-type of Lolium perenne under limiting relative addition rates of nitrate supply. Physiologia Plantarum, 116 (1), 52-61. Sponsorship: BBSRC RAE2008

The African slave trade / by Thomas Fowell Buxton.

Digitized by Google

Trade & Cap: A Customer-Managed, Market-Based System for Trading Bandwidth Allowances at a Shared Link

We propose Trade & Cap (T&C), an economics-inspired mechanism that incentivizes users to voluntarily coordinate their consumption of the bandwidth of a shared resource (e.g., a DSLAM link) so as to converge on what they perceive to be an equitable allocation, while ensuring efficient resource utilization. Under T&C, rather than acting as an arbiter, an Internet Service Provider (ISP) acts as an enforcer of what the community of rational users sharing the resource decides is a fair allocation of that resource. Our T&C mechanism proceeds in two phases. In the first, software agents acting on behalf of users engage in a strategic trading game in which each user agent selfishly chooses bandwidth slots to reserve in support of primary, interactive network usage activities. In the second phase, each user is allowed to acquire additional bandwidth slots in support of presumed open-ended need for fluid bandwidth, catering to secondary applications. The acquisition of this fluid bandwidth is subject to the remaining "buying power" of each user and by prevalent "market prices" – both of which are determined by the results of the trading phase and a desirable aggregate cap on link utilization. We present analytical results that establish the underpinnings of our T&C mechanism, including game-theoretic results pertaining to the trading phase, and pricing of fluid bandwidth allocation pertaining to the capping phase. Using real network traces, we present extensive experimental results that demonstrate the benefits of our scheme, which we also show to be practical by highlighting the salient features of an efficient implementation architecture.

Trade-off between minimum number of wireless sensors and the accuracy of temperature profile in cold rooms: a model-based framework

Evaluation of temperature distribution in cold rooms is an important consideration in the design of food storage solutions. Two common approaches used in both industry and academia to address this question are the deployment of wireless sensors, and modelling with Computational Fluid Dynamics (CFD). However, for a realworld evaluation of temperature distribution in a cold room, both approaches have their limitations. For wireless sensors, it is economically unfeasible to carry out large-scale deployment (to obtain a high resolution of temperature distribution); while with CFD modelling, it is usually not accurate enough to get a reliable result. In this paper, we propose a model-based framework which combines the wireless sensors technique with CFD modelling technique together to achieve a satisfactory trade-off between minimum number of wireless sensors and the accuracy of temperature profile in cold rooms. A case study is presented to demonstrate the usability of the framework.

Characterization of the degradation of wild-type and mutant HFE proteins during stress signalling in the endoplasmic reticulum

HFE is a transmembrane protein that becomes N-glycosylated during transport to the cell membrane. It acts to regulate cellular iron uptake by interacting with the Type 1 transferrin receptor and interfering with its ability to bind iron-loaded transferrin. There is also evidence that HFE regulates systemic iron levels by binding to the Type II transferrin receptor although the mechanism by which this occurs is still not well understood. Mutations to HFE that disrupt this function, or physiological conditions that decrease HFE protein levels, are associated with increased iron uptake, and its accumulation in tissues and organs. This is exemplified by the point mutation that results in conversion of cysteine residue 282 to tyrosine (C282Y), and gives rise to the majority of HFE-related hemochromatoses. The C282Y mutation prevents the formation of a disulfide bridge and disrupts the interaction with its co-chaperone β2-microglobulin. The resulting misfolded protein is retained within the endoplasmic reticulum (ER) where it activates the Unfolded Protein Response (UPR) and is subjected to proteasomal degradation. The absence of functional HFE at the cell surface leads to unregulated iron uptake and iron loading. While the E3 ubiquitin ligase involved in the degradation of HFE-C282Y has been identified, the mechanism by which it is targeted for degradation remains relatively obscure. The primary objective of this project was to further our understanding of how the iron regulatory HFE protein is targeted for degradation. Our studies suggest that the glycosylation status, and the active process of deglycosylation, are central to this process. We identified a number of additional factors that can contribute towards degradation and explored their regulation during ER stress conditions.

Reasoning with imprecise trade-offs in decision making under certainty and uncertainty

In many real world situations, we make decisions in the presence of multiple, often conflicting and non-commensurate objectives. The process of optimizing systematically and simultaneously over a set of objective functions is known as multi-objective optimization. In multi-objective optimization, we have a (possibly exponentially large) set of decisions and each decision has a set of alternatives. Each alternative depends on the state of the world, and is evaluated with respect to a number of criteria. In this thesis, we consider the decision making problems in two scenarios. In the first scenario, the current state of the world, under which the decisions are to be made, is known in advance. In the second scenario, the current state of the world is unknown at the time of making decisions. For decision making under certainty, we consider the framework of multiobjective constraint optimization and focus on extending the algorithms to solve these models to the case where there are additional trade-offs. We focus especially on branch-and-bound algorithms that use a mini-buckets algorithm for generating the upper bound at each node of the search tree (in the context of maximizing values of objectives). Since the size of the guiding upper bound sets can become very large during the search, we introduce efficient methods for reducing these sets, yet still maintaining the upper bound property. We define a formalism for imprecise trade-offs, which allows the decision maker during the elicitation stage, to specify a preference for one multi-objective utility vector over another, and use such preferences to infer other preferences. The induced preference relation then is used to eliminate the dominated utility vectors during the computation. For testing the dominance between multi-objective utility vectors, we present three different approaches. The first is based on a linear programming approach, the second is by use of distance-based algorithm (which uses a measure of the distance between a point and a convex cone); the third approach makes use of a matrix multiplication, which results in much faster dominance checks with respect to the preference relation induced by the trade-offs. Furthermore, we show that our trade-offs approach, which is based on a preference inference technique, can also be given an alternative semantics based on the well known Multi-Attribute Utility Theory. Our comprehensive experimental results on common multi-objective constraint optimization benchmarks demonstrate that the proposed enhancements allow the algorithms to scale up to much larger problems than before. For decision making problems under uncertainty, we describe multi-objective influence diagrams, based on a set of p objectives, where utility values are vectors in Rp, and are typically only partially ordered. These can be solved by a variable elimination algorithm, leading to a set of maximal values of expected utility. If the Pareto ordering is used this set can often be prohibitively large. We consider approximate representations of the Pareto set based on ϵ-coverings, allowing much larger problems to be solved. In addition, we define a method for incorporating user trade-offs, which also greatly improves the efficiency.