αs from the static energy in QCD

Comparing perturbative calculations with a lattice computation of the static energy in quantum chromodynamics at short distances, we obtain a determination of the strong coupling αS. Our determination is performed at a scale of around 1.5 GeV (the typical distance scale of the lattice data) and, when evolved to the Z-boson mass scale MZ, it corresponds to .

Injuries in agriculture-injury severity and mortality

PRINCIPALS Accidents in agriculture are a problem of global importance. The hazards of working in agriculture are manifold (machines, animals, heights). We therefore assessed injury severity and mortality from accidents in farming. METHODS We retrospectively analysed all farming accidents treated over a 12-year period in the emergency department (ED) of our level I trauma centre. RESULTS Out of 815 patients 96.3% were male and 3.7% female (p <0.0001). A total of 70 patients (8.6%, 70/815) were severely injured. Patients with injuries to the chest were most likely to suffer from severe injuries (odds ratio [OR] 9.45, 95% confidence interval [CI] 5.59-16.00, p <0.0001), followed by patients with injuries to the abdomen (OR 7.06, 95% CI 3.22-15.43, p <0.0001) and patients with injuries to the head (OR 5.03, 95% CI 2.99-8.66, p <0.0001). Hospitalisation was associated with machine- and fall-related injuries (OR 22.39, 95% CI 1.95-4.14, p <0.0001 and OR 2.84 95% CI 1.68-3.41 p <0.001, respectively). Patients suffering from a fall and patients with severe injury were more likely to die than others (OR 3.32, 95% CI 1.07-10.29, p <0.037 and OR 9.17, 95% CI 6.20-13.56, p <0.0001, respectively). Fall height correlated positively with the injury severity score , hospitalisation and mortality (all p <0.0001). CONCLUSION Injuries in agriculture are accompanied by substantial morbidity and mortality, and range from minor injuries to severe multiple injuries. Additional prospective studies should be conducted on injury severity, long-term disability and mortality.

Foreign Direct Investment in Agriculture: Land Grab or Food Security Improvement?

“Large-scale acquisition of land by foreign investors” is the correct term for a process where the verdict of guilt is often quicker than the examination. But is there something really new about land grab except in its extent? In comparison with colonial and post-colonial plantation operations, should foreign investors today behave differently? We generally accept coffee and banana exports as pro-growth and pro-development, just as for cars, beef and insurance. What then is wrong with an investment contract allowing the holder to buy a farm and to export wheat to Saudi Arabia, or soybeans and maize as cattle feed to Korea, or to plant and process sugar cane and palm oil into ethanol for Europe and China? Assuming their land acquisition was legal, should foreigners respect more than investment contracts and national legislation? And why would they not take advantage of the legal protection offered by international investment law and treaties, not to speak of concessional finance, infrastructure and technical cooperation by a development bank, or the tax holidays offered by the host state? Remember Milton Friedman’s often-quoted quip: “The business of business is business!” And why would the governments signing those contracts not know whether and which foreign investment projects are best for their country, and how to attract them? This chapter tries to show that land grab, where it occurs, is not only yet another symptom of regulatory failures at the national level and a lack of corporate social responsibility by certain private actors. National governance is clearly the most important factor. Nonetheless, I submit that there is an international dimension involving investor home states in various capacities. The implication is that land grab is not solely a question whether a particular investment contract is legal or not. This chapter deals with legal issues which seem to have largely escaped the attention of both human rights lawyers and, especially, of investment lawyers. I address this fragmentation between different legal disciplines, rules, and policies, by asking two basic questions: (i) Do governments and parliaments in investor home countries have any responsibility in respect of the behaviour of their investors abroad? (ii) What should they and international regulators do, if anything?

Sustainable development in international law making and trade: International food governance and trade in agriculture

This timely book provides an accessible insight into how the concept of sustainable development can be made operational through its translation into legal terms. Understood as a multidimensional legal principle, sustainable development facilitates coherent international law making. Using this notion as an analytical lens on the WTO Agreement on Agriculture, the book considers the unresolved question of what a sustainable and coherent agricultural trade agreement could look like.

Towards a new balance of trade in agriculture

Trade in agriculture is linked to a whole range of economic, environmental, societal and future interests. For this reason, international regulation of trade in agricultural goods is highly contentious. While mainly directed towards an opening of markets, the WTO Agreement on Agriculture also has some entry points for ‘non trade concerns’. However, the agreement still looks like a casual patchwork that allows rather unsystematic ally for exemptions, without explicitly exposing the grounds that allow for them. The question arises of how the agreement could be drafted in a more structured way, in order to make sure that the economic objectives are efficiently pursued, and at the same time that human rights and environmental concerns are adequately taken account of? The concept of sustainable development provides for a methodical ‘seven step’ framework that gives guidance on integrated decision making processes. In this paper, this framework is partially applied to the Agreement on Agriculture. This working paper served as an introductory note to a brainstorming workshop on the subject that took place on 27 March 2009 at the World Trade Institute, University of Bern.

On loader productivity, rock strength and explosive energy in metal mining

Twenty production blasts in two open pit mines were monitored, in rocks with medium to very high strength. Three different blasting agents (ANFO, watergel and emulsion blend) were used, with powder factors ranging between 0.88 and 1.45 kg/m3. Excavators were front loaders and rope shovels. Mechanical properties of the rock, blasting characteristics and mucking rates were carefully measured. A model for the calculation of the productivity of excavators is developed thereof, in which the production rate results as a product of an ideal, maximum, productivity rate times an operating efficiency. The maximum rate is a function of the dipper capacity and the efficiency is a function of rock density, strength, and explosive energy concentration in the rock. The model is statistically significant and explains up to 92 % of the variance of the production rate measurements.

Aerial Remote Sensing in Agriculture: A Practical Approach to Area Coverage and Path Planning for Fleets of Mini Aerial Robots

In this paper, a system that allows applying precision agriculture techniques is described. The application is based on the deployment of a team of unmanned aerial vehicles that are able to take georeferenced pictures in order to create a full map by applying mosaicking procedures for postprocessing. The main contribution of this work is practical experimentation with an integrated tool. Contributions in different fields are also reported. Among them is a new one-phase automatic task partitioning manager, which is based on negotiation among the aerial vehicles, considering their state and capabilities. Once the individual tasks are assigned, an optimal path planning algorithm is in charge of determining the best path for each vehicle to follow. Also, a robust flight control based on the use of a control law that improves the maneuverability of the quadrotors has been designed. A set of field tests was performed in order to analyze all the capabilities of the system, from task negotiations to final performance. These experiments also allowed testing control robustness under different weather conditions.

Mode II fracture energy in the adhesive bonding of dissimilar substrates: carbon fibre composite to aluminium joints

The end-notched flexure (ENF) test calculates the value of mode II fracture energy in adhesive bonding between the substrates of same nature. Traditional methods of calculating fracture energy in the ENF test are not suitable in cases where the thickness of the adhesive is non-negligible compared with adherent thicknesses. To address this issue, a specific methodology for calculating mode II fracture energy has been proposed in this paper. To illustrate the applicability of the proposed method, the fracture energy was calculated by the ENF test for adhesive bonds between aluminium and a composite material, which considered two different types of adhesive (epoxy and polyurethane) and various surface treatments. The proposed calculation model provides higher values of fracture energy than those obtained from the simplified models that consider the adhesive thickness to be zero, supporting the conclusion that the calculation of mode II fracture energy for adhesives with non-negligible thickness relative to their adherents should be based on mathematical models, such as the method proposed in this paper, that incorporate the influence of this thickness.

Neural network controller for active demand side management with PV energy in the residential sector

In this paper, we describe the development of a control system for Demand-Side Management in the residential sector with Distributed Generation. The electrical system under study incorporates local PV energy generation, an electricity storage system, connection to the grid and a home automation system. The distributed control system is composed of two modules: a scheduler and a coordinator, both implemented with neural networks. The control system enhances the local energy performance, scheduling the tasks demanded by the user and maximizing the use of local generation.