Regional aspects of decision-making support for rural development in Poland

Measures for rural development should be adapted to the specific regional conditions and national programs should allow for different regional priorities. However, decision-making for policy measures often takes place under special conditions with many concerned actors, unstructured decision problems and time pressure. These conditions, decision-makers in administrations and institutions are faced with, make the formation of policy-measures for rural development a complex matter. Thus, there is the question arising how decision-makers can be supported in setting priorities for allocating budgets for policy measures among regions. Recently, multi criteria decision-making approaches are discussed to tackle these kinds of decision problems. We show exemplarily for the Polish program of rural development, how decision-making could be supported using a multi-objective programming approach. Different preferences of actors can be considered explicitly by visualizing “trade-offs” and an interactive use of the approach. For example, a political "equity" objective is implemented as a constraint in the programming approach, restricting the budget differences between regions to a defined level. By a parameterization of the bound for budget differences, the "trade-off" between three objectives is displayed and evaluated. Using the exemplary programming approach, it is shown that the objective values of the two main objectives of the PROW decline, when the budget differences between regions are restricted for pursuing a political "equity" objective.Regional Budgeting, Interactive Decision-making support, Multi-objective Programming (MOP), Community/Rural/Urban Development,

Jurisdiction in Bankruptcy

It has been argued that organic farming sustains a higher biodiversity than conventional farming. This might promote the ecosystem services that exist in agricultural landscapes such as pollination and pest control. Here, I examined the effect of farming system (organic vs. conventional) with respect to the time since farming system transition, landscape heterogeneity and plant richness on pollinating and predatory insects. In total, data from 30 farms were used, of which 20 were organic and 10 were conventional. The data were analyzed using general linear models and model averaging. The results show that insect groups responded differently to various factors. Pollinators were more sensitive to landscape complexity, showing an increase of abundance and species richness with an increased heterogeneity. Predators on the other hand reacted to farming system, where there was an increase in abundance and species richness on organic farms

Phase Diagram of Interacting Bosons on the Honeycomb Lattice

We study the ground state properties of repulsively interacting bosons on the honeycomb lattice using large-scale quantum Monte Carlo simulations. In the hard-core limit the half-filled system develops long ranged diagonal order for sufficiently strong nearest-neighbor repulsion. This staggered solid melts at a first order quantum phase transition into the superfluid phase, without the presence of any intermediate supersolid phase. Within the superfluid phase, both the superfluid density and the compressibility exhibit local minima near particle- (hole-) density one quarter, while the density and the condensate fraction show inflection points in this region. Relaxing the hard-core constraint, supersolid phases emerge for soft-core bosons. The suppression of the superfluid density is found to persist for sufficiently large, finite on-site repulsion.Comment: 4 pages with 5 figure

Recent advances in the simulation of particle-laden flows

A substantial number of algorithms exists for the simulation of moving particles suspended in fluids. However, finding the best method to address a particular physical problem is often highly non-trivial and depends on the properties of the particles and the involved fluid(s) together. In this report we provide a short overview on a number of existing simulation methods and provide two state of the art examples in more detail. In both cases, the particles are described using a Discrete Element Method (DEM). The DEM solver is usually coupled to a fluid-solver, which can be classified as grid-based or mesh-free (one example for each is given). Fluid solvers feature different resolutions relative to the particle size and separation. First, a multicomponent lattice Boltzmann algorithm (mesh-based and with rather fine resolution) is presented to study the behavior of particle stabilized fluid interfaces and second, a Smoothed Particle Hydrodynamics implementation (mesh-free, meso-scale resolution, similar to the particle size) is introduced to highlight a new player in the field, which is expected to be particularly suited for flows including free surfaces.Comment: 16 pages, 4 figure