1,098 research outputs found
Applying tropos to socio-technical system design and runtime configuration
Recent trends in Software Engineering have introduced the importance of reconsidering the traditional idea of software design as a socio-tecnical problem, where human agents are integral part of the system along with hardware and software components. Design and runtime support for Socio-Technical Systems (STSs) requires appropriate modeling techniques and
non-traditional infrastructures. Agent-oriented software methodologies are natural solutions to the development of STSs, both humans and technical components are conceptualized and analyzed as part of the same system. In this paper, we illustrate a number of Tropos features that we believe fundamental to support the development and runtime reconfiguration of STSs.
Particularly, we focus on two critical design issues: risk analysis and location variability. We show how they are integrated and used into a planning-based approach to support the designer in evaluating and choosing the best design alternative. Finally, we present a generic framework to develop self-reconfigurable STSs
Temperature dependence of the affinity enhancement of selective adenosine A1 receptor agonism: A thermodynamic analysis
The 2-amino-benzoylthiophene derivatives LUF 5468 [(2-amino-4-ethyl-5-methyl-3-thienyl)[3-(trifluoromethyl)phenyl]methanone] and
LUF 5484 [(2-amino-4,5,6,7-tetrahydrobenzo[b]thiophen-3-yl)(3,4-dichlorophenyl)methanone] have been shown to allosterically enhance
the adenosine A1 receptor agonist binding. We report a thermodynamic analysis of the agonist affinity obtained at human adenosine A1
receptors, in the presence and absence of LUF 5468 and LUF 5484. Moreover, an analysis of the temperature dependence for association and
dissociation rates of N6-cyclohexyladenosine (CHA) binding was performed in the absence and presence of LUF 5484. Thermodynamic data
were obtained by affinity measurements performed at different temperatures followed by van’t Hoff analysis. The results indicate that the
agonist binding is always totally entropy-driven, and that the modulators contribute to decrease the DGj, DHj and DSj values. It is concluded
that the enhancers are able to increase the non-bonded interactions of the binding site with agonists as CHA, N6-cyclopentlyladenosine (CPA),
2V-methyl-N6-cyclopentyladenosine (MeCPA) and 2-chloro-2Vmethyl-N6-cyclopentyladenosine (MeCCPA)
A measurement of the p --> pi+pi- reaction for 158 p() 275 MeV/c
A measurement of the total cross section for the reaction p-bar p → π+π− has been performed for seven values of the incident momentum between 158 and 275 MeV/c. The values obtained, if compared with previous results at higher momenta, agree with a 1/ß dependence. The differential cross section sssumed over the whole incident momentum range has also been measured and the result of a fit by Legendre polynomials is given
Search for a narrow resonance about the xi(2230) in the formation channel p --> K+K-
The reaction p-bar p -> K+ K- has been studied for incident antiproton momenta between 1.3 and 1.5 GeV/c. A continuous scan has been made for invariant masses of the p-bar p system between 2220 and 2240 MeV/c2 with a resolution of 0.6 MeV/c2 in the ξ (2230) region. No structure has been observed. Upper limits are given
Implementation of a PC-based Level 0 Trigger Processor for the NA62 Experiment
Lowest level (sometimes called Level 0, L0) triggers are fundamental components in high energy physics experiments, and yet they are quite often custom-made. Even when using FPGAs to achieve better flexibility in modifying and maintaining, small changes require hardware reconfiguration and changes to the algorithm logic could be constrained by the hardware. For these reasons we are developing for the NA62 experiment at CERN a L0-trigger based on the use of a PC and commodity FPGA development board
Adenosine analogs prodrugs: design, synthesis and chemico-physical characterization of N6-cyclopentyladenosine (CPA) derivatives
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Supplementary Material for "Data-Driven Revision of Conditional Norms in Multi-Agent Systems"
This release contains all supplementary material (code and experimental results) for the manuscript "Data-Driven Revision of Conditional Norms in Multi-Agent Systems". Dell'Anna, D.; Alechina, N.; Dalpiaz, F.; Dastani, M.; and Logan, B. Journal of Artificial Intelligence Research.
THIS SOURCE CODE IS SUPPLIED "AS IS" WITHOUT WARRANTY OF ANY KIND, AND ITS AUTHOR AND THE JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH (JAIR) AND JAIR'S PUBLISHERS AND DISTRIBUTORS, DISCLAIM ANY AND ALL WARRANTIES, INCLUDING BUT NOT LIMITED TO ANY IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE, AND ANY WARRANTIES OR NON INFRINGEMENT. THE USER ASSUMES ALL LIABILITY AND RESPONSIBILITY FOR USE OF THIS SOURCE CODE, AND NEITHER THE AUTHOR NOR JAIR, NOR JAIR'S PUBLISHERS AND DISTRIBUTORS, WILL BE LIABLE FOR DAMAGES OF ANY KIND RESULTING FROM ITS USE. Without limiting
the generality of the foregoing, neither the author, nor JAIR, nor JAIR's publishers and distributors, warrant that the Source Code will be error-free, will operate without interruption, or will meet the needs of the user
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