336 research outputs found
The Development of International Police Cooperation within the EU and Between the EU and Third Party States: A Discussion of the Legal Bases of Such Cooperation and the Problems and Promises Resulting Thereof
Exploring the Barriers to the More Widespread Adoption of Electronic Health Records
The article reports on the barriers to the adoption of electronic health records (EHR) in the U.S. The positive effects of EHR are presented including improved quality of patient care, reduced medical errors, and providing cost-effective health care services. The obstacles to EHR adoption, such as financial costs, implementation challenges, and privacy and data security concerns, are discussed
The Development of International Police Cooperation within the EU and Between the EU and Third Party States: A Discussion of the Legal Bases of Such Cooperation and the Problems and Promises Resulting Thereof
Pricing Upward-Only Adjusting Leases
This paper presents a stochastic pricing model of a unique, path-dependent lease instrument common in the United Kingdom and numerous commonwealth countries, the upward-only adjusting lease. In this lease, the rental rate is fixed at lease commencement but will be reset to the market rate at predetermined intervals (usually every five years) if it exceeds the contract rent. Numerical results indicate how the initial coupon rate should be set relative to that on a symmetric up-and-downward adjusting variable rate' lease under various economic conditions (level of real interest rates and expected drift and volatility of the underlying rental service flow). We also consider the calculation of effective rents when free rent periods are given during either a market collapse or a steady-state drift.
Quantitative Protein Dynamics from Dominant Folding Pathways
We develop a theoretical approach to the protein folding problem based on
out-of-equilibrium stochastic dynamics. Within this framework, the
computational difficulties related to the existence of large time scale gaps in
the protein folding problem are removed and simulating the entire reaction in
atomistic details using existing computers becomes feasible. In addition, this
formalism provides a natural framework to investigate the relationships between
thermodynamical and kinetic aspects of the folding. For example, it is possible
to show that, in order to have a large probability to remain unchanged under
Langevin diffusion, the native state has to be characterized by a small
conformational entropy. We discuss how to determine the most probable folding
pathway, to identify configurations representative of the transition state and
to compute the most probable transition time. We perform an illustrative
application of these ideas, studying the conformational evolution of alanine
di-peptide, within an all-atom model based on the empiric GROMOS96 force field.Comment: 4 pages, 1 figur
Effect of Y substitution on the structural and magnetic properties of Dy1-xYxCo5 compounds
Structural and magnetization studies were carried out on Dy1-xYxCo5 [x = 0,
0.2, 0.4, 0.6, 0.8, 1] compounds which crystallize in the hexagonal CaCu5-type
structure. Lattice parameters and unit-cell volume increase with Y
concentration. Large thermomagnetic irreversibility between the field-cooled
and the zero-field cooled magnetization data has been observed in all the
compounds, which has been attributed to the domain wall pinning effect.
Temperature dependence of magnetization data shows that except DyCo5 and YCo5,
all the compounds show spin reorientation transitions in the range of 5-300 K.
The spin reorientation temperature decreases from 266 K for x=0.2 to 100 K for
x=0.8. Powder x-ray diffractograms of the magnetically aligned samples show
that DyCo5 has planar anisotropy at room temperature whereas all the other
compounds possess axial anisotropy. The spin reorientation transition has been
attributed to a change in the easy magnetization direction from the ab-plane to
the c-axis, as the temperature is increased. The anisotropy field and the first
order anisotropy constant are found to be quite high in all the compounds
except DyCo5. The magnetic properties have been explained by taking into
account the variations in contributions arising from the rare earth and
transition metal sublattices.Comment: 12 pages, 7 figure
Indirect Interventions in Civil Wars
Current research on motivational sources of military interventions in civil
wars frequently assumes that states intervene due to direct interests in the
civil war country. However, this study argues that there exists a subset of
interventions in which weaker powers intervene on behalf of interests
which great powers hold vis-à-vis the civil war country. Using the logic of
principal-agent theory in combination with arms trade data allows one to
identify 14 civil wars which experienced the phenomenon of indirect
military interventions. This type of intervention features a weaker power
providing troops for combat missions, whereas its major arms supplier is
only involved with indirect military support. The analysis is complemented
with two brief case studies on the Moroccan intervention in Zaire (1977) and
the Ugandan intervention in the Central African Republic (2009). Both case
studies corroborate expectations as deduced from the proxy intervention
framework
Electronic structure and magnetic properties of RMnX (R= Mg, Ca, Sr, Ba, Y; X= Si, Ge) studied by KKR method
Electronic structure calculations, using the charge and spin self-consistent
Korringa- Kohn-Rostoker (KKR) method, have been performed for several Mn
compounds ( = Mg, Ca, Sr, Ba, Y; = Si, Ge) of the CeFeSi-type structure.
The origin of their magnetic properties has been investigated emphasizing the
role of the Mn sublattice. The significant influence of the Mn-Mn and Mn-
interatomic distances on the Mn magnetic moment value is delineated from our
computations, supporting many neutron diffraction data. We show that the marked
change of with the Mn-Mn and Mn- distances resulted from a
redistribution between spin-up and spin-down -Mn DOS rather than from
different fillings of the Mn 3-shell. Bearing in mind that the neutron
diffraction data reported for the Mn compounds are rather scattered, the
KKR computations of are in fair agreement with the experimental
values. Comparing density of states near obtained in different magnetic
orderings, one can notice that the entitled Mn systems seem to 'adapt'
their magnetic structures to minimize the DOS in the vicinity of the Fermi
level. Noteworthy, the SrMnGe antiferromagnet exhibits a pseudo-gap behaviour
at , suggesting anomalous electron transport properties. In addition,
the F-AF transition occurring in the disordered LaYMnSi alloy for
the range is well supported by the DOS features of
LaYMnSi. In contrast to the investigated Mn compounds,
YFeSi was found to be non-magnetic, which is in excellent agreement with the
experimental data.Comment: 10 pages + 14 figures, to appear in Eur. Phys. Jour.
On a Connection between Differential Games, Optimal Control, and Energy-based Models for Multi-Agent Interactions
Game theory offers an interpretable mathematical framework for modeling
multi-agent interactions. However, its applicability in real-world robotics
applications is hindered by several challenges, such as unknown agents'
preferences and goals. To address these challenges, we show a connection
between differential games, optimal control, and energy-based models and
demonstrate how existing approaches can be unified under our proposed
Energy-based Potential Game formulation. Building upon this formulation, this
work introduces a new end-to-end learning application that combines neural
networks for game-parameter inference with a differentiable game-theoretic
optimization layer, acting as an inductive bias. The experiments using
simulated mobile robot pedestrian interactions and real-world automated driving
data provide empirical evidence that the game-theoretic layer improves the
predictive performance of various neural network backbones.Comment: International Conference on Machine Learning, Workshop on New
Frontiers in Learning, Control, and Dynamical Systems (ICML 2023
Frontiers4LCD
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