1,705 research outputs found
How two business models respond to current chalenges of agrowood production: the case of Brandenburg, Germany
PosterThe agrowood acreage in Brandenburg has increased fifteen-fold since 2008 reaching in 2013 1819ha (Ministerium für Infrastruktur und Landwirtschaft 2013) and therefore the leading position of all federal states in Germany. Despite of the constant rise and the chances associated with the production of agrowood, potential producers have to face a wide range of challenges: uncertainties about yields, high initial investments, a fixation of land for the 20 years` lifetime of an agrowood plantation and an irregular cash flow all 3 or 5 years. A non-transparent market in addition to lacking long term experiences and machinery available, affects the decision-making process of potential producers negatively. In Brandenburg this innovative crop, growing even under harsh conditions, matches the unfavorable agricultural conditions (Murach et al. 2008). Our subjects of investigation are the two prevailing business models in the agrowood sector in Brandenburg: comprehensive cooperation agreements and independent farming. They coexist and mutually interact with synergies as well as obstructions. We combine a qualitative method with guided interviews focusing on planting decision making processes with a modeling approach using different risk levels and yield expectations to analyze transaction and opportunity costs of those two models. Thereby the characteristics and effects of the business models are compared and analyzed. Our results show that cooperation agreements have effects on the actor`s decision by motivating farmers to decide in favor of agrowood. They also contribute to an expansion of agrowood acreage accounting for almost 40% of the total area in Brandenburg in 2012 (Ehm 2013). Furthermore cooperation agreements are affirmed by interviewees to overcome economic, trade and machinery related constraints of agrowood, secure long-term incomes and increase creditworthiness of producers. In contrast, independent producers are acknowledged to have the burden of higher risks, but may benefit from governmental support programs, which not apply for contract farmers
Self-consistent Coulomb effects and charge distribution of quantum dot arrays
This paper considers the self-consistent Coulomb interaction within arrays of
self-assembled InAs quantum dots (QDs) which are embedded in a pn structure.
Strong emphasis is being put on the statistical occupation of the electronic QD
states which has to be solved self-consistently with the actual
three-dimensional potential distribution. A model which is based on a Green's
function formalism including screening effects is used to calculate the
interaction of QD carriers within an array of QDs, where screening due to the
inhomogeneous bulk charge distribution is taken into acount. We apply our model
to simulate capacitance-voltage (CV) characteristics of a pn structure with
embedded QDs. Different size distributions of QDs and ensembles of spatially
perodic and randomly distributed arrays of QDs are investigated.Comment: submitted to pr
Chemically engineering ligand selectivity at the free fatty acid receptor 2 based on pharmacological variation between species orthologs
When it is difficult to develop selective ligands within a family of related G-protein-coupled receptors (GPCRs), chemically engineered receptors activated solely by synthetic ligands (RASSLs) are useful alternatives for probing receptor function. In the present work, we explored whether a RASSL of the free fatty acid receptor 2 (FFA2) could be developed on the basis of pharmacological variation between species orthologs. For this, bovine FFA2 was characterized, revealing distinct ligand selectivity compared with human FFA2. Homology modeling and mutational analysis demonstrated a single mutation in human FFA2 of C4.57G resulted in a human FFA2 receptor with ligand selectivity similar to the bovine receptor. This was exploited to generate human FFA2-RASSL by the addition of a second mutation at a known orthosteric ligand interaction site, H6.55Q. The resulting FFA2-RASSL displayed a >100-fold loss of activity to endogenous ligands, while responding to the distinct ligand sorbic acid with pEC(50) values for inhibition of cAMP, 5.83 ± 0.11; Ca(2+) mobilization, 4.63 ± 0.05; ERK phosphorylation, 5.61 ± 0.06; and dynamic mass redistribution, 5.35 ± 0.06. This FFA2-RASSL will be useful in future studies on this receptor and demonstrates that exploitation of pharmacological variation between species orthologs is a powerful method to generate novel chemically engineered GPCRs
Quijarroite, Cu6HgPb2Bi4Se12, a New Selenide from the El Dragόn Mine, Bolivia
This is an open access publication© 1996-2016 MDPI AG (Basel, Switzerland). This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0)
Recommended from our members
Proposed master-slave and automated remote handling system for high- temperature gas-cooled reactor fuel refabrication
Exploring the Monero Peer-to-Peer Network
As of September 2019, Monero is the most capitalized privacy-
preserving cryptocurrency, and is ranked tenth among all cryptocurren-
cies. Monero’s on-chain data privacy guarantees, i.e., how mixins are
selected in each transaction, have been extensively studied. However, de-
spite Monero’s prominence, the network of peers running Monero clients
has not been analyzed. Such analysis is of prime importance, since po-
tential vulnerabilities in the peer-to-peer network may lead to attacks on
the blockchain’s safety (e.g., by isolating a set of nodes) and on users’
privacy (e.g., tracing transactions flow in the network).
This paper provides the first step study on understanding Monero’s peer-
to-peer (P2P) network. In particular, we deconstruct Monero’s P2P pro-
tocol based on its source code, and develop a toolset to explore Monero’s
network, which allows us to infer its topology, size, node distribution,
and node connectivity. During our experiments, we collected 510 GB of
raw data, from which we extracted 21,678 IP addresses of Monero nodes
distributed in 970 autonomous systems. We show that Monero’s network
is highly centralized — 13.2% of the nodes collectively maintain 82.86%
of the network connections. We have identified approximately 2,758 ac-
tive nodes per day, which is 68.7% higher than the number reported by
the MoneroHash mining pool. We also identified all concurrent outgoing
connections maintained by Monero nodes with very high probability (on
average 97.98% for nodes with less than 250 outgoing connections, and
93.79% for nodes with more connections)
High-field magnetoexcitons in unstrained GaAs/AlxGa1-xAs quantum dots
The magnetic field dependence of the excitonic states in unstrained GaAs/AlxGa1-xAs quantum dots is investigated theoretically and experimentally. The diamagnetic shift for the ground and the excited states are studied in magnetic fields of varying orientation. In the theoretical study, calculations are performed within the single band effective mass approximation, including band nonparabolicity, the full experimental three-dimensional dot shape and the electron-hole Coulomb interaction. These calculations are compared with the experimental results for both the ground and the excited states in fields up to 50 Tesla. Good agreement is found between theory and experiment
- …